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Bacterial Extracellular Vesicles in Aging: Mechanisms and Therapeutic Prospects

Authors Tan J, Zubair M, Zhang L, Liu L, Li K, Wang Y, Yan Y, Xu W

Received 21 January 2026

Accepted for publication 2 April 2026

Published 28 April 2026 Volume 2026:21 597419

DOI https://doi.org/10.2147/IJN.S597419

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 4

Editor who approved publication: Dr Kamakhya Misra



Junfei Tan,1,2 Muhammad Zubair,1 Lin Zhang,1,2 Likang Liu,1,2 Kangrong Li,1,2 Yihua Wang,3 Yongmin Yan,1 Wenyan Xu4

1Department of Laboratory Medicine, Wujin Hospital Affiliated with Jiangsu University, Jiangsu University, Changzhou, People’s Republic of China; 2Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, People’s Republic of China; 3Department of Clinical Laboratory, Kunshan Jinxi People’s Hospital, Suzhou, 215300, People’s Republic of China; 4Department of Hematopathology, Wujin Hospital Affiliated with Jiangsu University, Changzhou, People’s Republic of China

Correspondence: Wenyan Xu, Department of Hematopathology, Wujin Hospital Affiliated with Jiangsu University, Changzhou, People’s Republic of China, Email [email protected]

Abstract: Bacterial extracellular vesicles (bEVs) are increasingly recognized as critical mediators of gut–host interactions; however, their specific role in the aging process remains obscured by fragmented data and disease-specific silos. Current understanding lacks a cohesive mechanism that explains how age-related physiological changes transform bEVs from commensal signals into systemic drivers of pathology. This review synthesizes disparate findings to elucidate a synergistic mechanism: aging compromises intestinal barrier integrity, facilitating bEV translocation, while simultaneously impairing immune clearance capabilities (e.g. loss of Vsig4+ Kupffer cells), leading to their toxic accumulation. We resolve conflicting reports on bEV functionality—such as the paradoxical pro-calcific effects of Lactobacillus rhamnosus GG-derived vesicles in chronic kidney disease—by contextualizing them within the host’s aging microenvironment. Beyond mapping these interactions across the gut–brain, metabolic, cardiovascular, and bone axes, we identify specific cargo molecules, such as lipopolysaccharide (LPS), curli, and bacterial DNA, that fuel inflammaging. However, translating these insights into therapeutic applications faces significant challenges, including methodological heterogeneity in isolation protocols and unresolved immunogenicity risks. By outlining a strategic roadmap for standardization and rigorous clinical validation, this study redefines bEVs not merely as biomarkers but as actionable targets for delaying aging and mitigating age-related diseases.

Keywords: gut microbiota, bacterial extracellular vesicles, extracellular vesicles, aging, gut–brain axis

Introduction

In recent years, the rising prevalence of an aging population has led to a corresponding increase in aging-related diseases—such as Alzheimer’s disease (AD),1 Parkinson’s disease (PD),2 metabolic-associated steatotic liver disease (MASLD),3 and osteoporosis4—and has resulted in various socio-economic challenges.5 Consequently, it is crucial to investigate the impact of aging on these diseases and to develop specific strategies for their prevention and treatment.

The process of aging is intricate. It also involves a variety of biological changes, both pathological and physiological. Recent studies have revealed a significant link between the decline of beneficial microbes in the human gut and the aging process.6,7 The gut microbiome is a diverse ecosystem that includes bacteria, fungi, viruses, archaea, and parasites. Its total cell count surpassing that of the human host.8 This microbiome is vital for maintaining the body’s internal balance. A well-functioning gut microbiome is crucial for providing energy, aiding in metabolic processes, supporting intestinal cell health, and defending against infections. But, an imbalance in gut microbiota may cause changes in its composition and functioning. It may result in a range of diseases associated with aging, such as obesity, type 2 diabetes (T2D), neurodegenerative conditions, cardiovascular diseases, and cancer.9,10

While interventions such as fecal microbiota transplantation (FMT) and probiotics have shown demonstrated potential in ameliorating aging-related metabolic disorders by restoring gut microbial balance.11,12 However, their precise molecular mechanisms remain unclear. Emerging evidence indicates that bacterial extracellular vesicles (bEVs)—nanometer-sized, membrane-bound particles released by gut microbes13,14—may serve as the critical effectors mediating these benefits. Unlike host-derived vesicles, bEVs exhibit unique stability and can traverse biological barriers to deliver bioactive cargo (eg., proteins, lipids, nucleic acids) directly to distant host tissues. Nevertheless, the role of bEVs in aging is far from straightforward; they function as a double-edged sword, capable of either maintaining homeostasis or driving pathology, depending on the host’s physiological context.

Despite this potential, current understanding of bEVs in aging remains obscured by fragmented data and disease-specific silos. Most studies treat bEVs as static biomarkers or isolated mediators of single conditions, often overlooking the dynamic interplay between age-related physiological decline (eg., barrier leakage, immune senescence) and bEV pathogenicity. Specifically, three critical gaps persist: (1) a lack of integrated insight into how aging synergistically drives systemic bEV accumulation; (2) insufficient evaluation of the context-dependent nature of bEVs, where even probiotic-derived vesicles may exert deleterious effects in compromised hosts;15 and (3) the absence of a cohesive translational roadmap addressing methodological heterogeneity and safety concerns.

Bridging the gap between mechanistic understanding and clinical translation will likely require converging insights from adjacent fields such as biomaterials, nanotechnology, and tissue engineering. Recent advancements offer promising blueprints for overcoming the specific challenges of targeted delivery and microenvironment modulation inherent to bEV-based therapies. For instance, bioinspired gradient scaffolds that mimic native tissue heterogeneity could be adapted to create niche environments that enhance the clearance of pathogenic bEVs or support tissue recovery in aged organs.16 Similarly, the integration of immunomodulatory nanomaterials, such as hydrogenated-silicon nanosheets capable of scavenging reactive oxygen species (ROS), provides a strategy to neutralize pro-inflammatory effects while promoting regeneration.17 In the context of acute kidney injury and other systemic conditions, self-propelled nanomotors and light-driven nanozymes demonstrate the potential for robust, multifunctional carriers that can intercept bEV-mediated damage or deliver cargo to restore function in aged clearance cells.18,19 Furthermore, the success of combination therapy platforms, such as cyanine-nanoparticle systems with high biocompatibility for synergistic treatment,20 and novel nanoreactors like tungsten carbide-derived polyoxometalates that amplify therapeutic efficacy via thermo-oxidative coupling,21 reinforces this direction. Finally, the translation of stem cell potentials for neurodegenerative diseases22 and the use of intestinal stem cell-derived organoids for disease modeling23 provide critical complementary tools. These technological innovations underscore the necessity of integrating engineered solutions with biological mechanisms to develop precise interventions for age-related pathologies.

To bridge these gaps, this review synthesizes disparate findings into a coherent, mechanism-driven narrative. Our literature search was conducted primarily using the PubMed database, covering publications from inception to January 2026. We utilized a comprehensive combination of keywords including “bacterial extracellular vesicles”, “gut microbiota”, “aging”, and specific age-related conditions (eg., AD, osteoporosis), along with relevant MeSH terms to ensure broad coverage. We explicitly detail how the convergence of increased intestinal permeability and diminished immune clearance creates a permissive environment for bEV retention, thereby accelerating multi-organ decline. By systematically dissecting the gut–brain, gut–metabolic, gut–cardiovascular, and gut–bone axes, we aim to resolve apparent contradictions in current literature and identify specific cargo molecules responsible for inflammaging. Critically, we move beyond cataloging associations to evaluate the evidence for causality, distinguishing drivers of pathology from bystander effects. Building on this mechanistic foundation, we propose a strategic framework for advancing bEV-based medicine. This includes outlining essential steps for standardizing isolation and quantification protocols, evaluating immunogenicity risks, and integrating multi-omics approaches with artificial intelligence to identify novel targets. Finally, we define key priorities for future clinical trials, offering a clear pathway to transform bEVs from experimental observations into viable, safe, and effective therapeutics for delaying aging and treating age-related diseases.

Gut Microbiota Dynamics in Aging: Metabolic and Immune Interfaces

Aging is characterized by a significant decline in gut microbiota diversity and stability, driven by physiological changes and modifiable lifestyle factors. While specific dietary patterns like the green Mediterranean diet can sustain diversity,24 the prevalence of Western-style diets and age-related physiological shifts often lead to a marked reduction in microbial richness, particularly after age 65.25,26 This loss of diversity is not merely compositional; it is functionally linked to weakened immune responses and metabolic dysregulation,27 creating a susceptibility to conditions such as obesity, T2D, and inflammatory disorders.28 Critically, these age-associated alterations foster a gut microenvironment prone to chronic inflammation and compromised barrier function, as summarized in Figure 1 and Table 1.

Table 1 A Summary of Age-Associated Intestinal Changes, Consequent Shifts in Gut Microbiota, and Underlying Mechanisms

Infographic on dysbiosis factors: exercise, nursing home residence, inflammation, mucosa thinning.

Figure 1 Multiple factors contribute to gut dysbiosis in older adults. Aging disrupts gut microbiota homeostasis through four key drivers: (a) Sedentary lifestyle and dietary changes: Reduced physical activity and low fiber intake alter microbial composition and decrease short-chain fatty acid (SCFA) production. (b) Institutionalization: Long-term care residence correlates with standardized diets, limited environmental exposure, and increased antibiotic use, leading to reduced diversity. (c) Accumulated intestinal inflammation: Chronic “inflammaging” creates an oxidative environment that favors pathobiont expansion over beneficial taxa. (d) Intestinal mucosal thinning: Age-related barrier atrophy facilitates bacterial translocation and exacerbates local inflammation. Created with Adobe Illustrator.

The functional collapse of the aging microbiome directly undermines host metabolic and immune homeostasis. The depletion of beneficial taxa reduces the production of short-chain fatty acids (SCFAs), which are essential for maintaining intestinal epithelial cell integrity and regulating anti-inflammatory pathways.37–39 Concurrently, dysregulated tryptophan metabolism shifts the balance from protective aryl hydrocarbon receptor ligands toward pro-inflammatory kynurenine pathways, impairing the development of regulatory T cells and promoting systemic immune activation.35,40–44 Furthermore, the diminished synthesis of immunomodulatory metabolites like butyrate and propionate weakens the induction of transforming growth factor-β (TGF-β) and IL-10, exacerbating the risk of autoimmune and inflammatory conditions.45–48 Collectively, this convergence of metabolic insufficiency and immune senescence results in increased intestinal permeability and a reduced capacity to clear microbial components.

This compromised gut interface fundamentally alters the behavior and impact of bEVs. In a healthy host, bEVs function locally to support homeostasis. However, in the aged gut—defined by the diversity loss, metabolic decline, and barrier dysfunction described above—the restrictive control over microbial translocation is lost. Consequently, bEVs gain enhanced access to systemic circulation while the aging immune system exhibits a diminished capacity for their clearance. Thus, the age-related deterioration of the gut ecosystem transforms bEVs from local symbiotic mediators into potential drivers of distal organ dysfunction and systemic inflammaging. This mechanistic shift, linking specific microbial declines to vesicle-mediated pathology, is the focus of the following section.

Characteristics and Sources of EVs

Definition and Classification of EVs

Extracellular vesicles (EVs) encompass all membrane-bound structures released from cells.49,50 Recent studies indicate that both eukaryotic and prokaryotic cells have the ability to produce EVs, a trait that has been preserved throughout evolutionary history.51,52 Host cell-derived EVs can be divided into two main categories: exosomes and microvesicles.53 Exosomes, ranging from 30 to 150 nanometers in size, are typically present in several bodily fluids such as blood, urine, and saliva. These vesicles arise from the endosomal pathway in cells and are secreted when multivesicular bodies merge with the membrane of the cell. Exosomes can be further classified into several types, such as those derived from tumors, immune cells, and stem cells, each playing unique roles in cell communication and the progression of diseases.54,55 On the other hand, microvesicles, which range from 50 to 1000 nanometers in size, are produced through the outward budding and fission of the cell membrane, making their release process more straightforward.56 Exosomes and microvesicles serve as crucial signaling molecules that facilitate communication between cells. They carry various bioactive compounds, encompassing proteins, lipids, and nucleic acids, such as miRNA.57 These vesicles play a significant role in the regulation of many biological processes, including cell growth, differentiation, and immune responses.58–61 Beyond exosomes and microvesicles, the human physiological fluid landscape harbors additional EV subpopulations with distinct characteristics, further underscoring the profound heterogeneity of the EV spectrum. Apoptotic bodies represent a major subclass generated during the late stages of programmed cell death.62 Typically exceeding 1 μm in diameter, these large vesicles form concomitant with the fragmentation of the nucleus and organelles, which are subsequently encapsulated by the budding plasma membrane. Characterized by the extensive externalization of phosphatidylserine and the inclusion of cellular debris, apoptotic bodies primarily function to facilitate the efficient recognition and clearance of dying cells by phagocytes, thereby preserving tissue homeostasis.62 Another emerging subpopulation of significant interest is the large oncosome. These are exceptionally large EVs (ranging from 1 to 10 μm in diameter) shed specifically by aggressive tumor cells.63 While their biogenesis is hypothesized to involve direct plasma membrane blebbing, the precise molecular mechanisms governing their formation remain incompletely elucidated. Accumulating evidence indicates that large oncosomes are enriched in various malignancies, including prostate cancer, glioblastoma, and breast cancer. Notably, their proteomic and RNA cargo profiles differ substantially from those of smaller EVs, such as exosomes, suggesting unique roles in tumor progression and intercellular communication within the cancer microenvironment.64,65

Characteristics of bEVs

bEVs, produced by gut microorganisms like bacteria and fungi, exhibit distinct biological characteristics. Originally, bEVs were recognized as outer membrane vesicles (OMVs) because they are created by the budding and fission processes of the outer membrane in Gram-negative bacteria.66–69 As research advanced, two additional vesicle types were identified resulting from cell lysis caused by phage infections: Outer–Inner Membrane Vesicles70,71 and Explosive Outer Membrane Vesicles.72 Furthermore, investigations over the last twenty years have shown that Gram-positive bacteria can also generate EVs. The mechanism by which the EVs penetrate the thick cell wall is still debated.73,74 Given that the membrane composition of these vesicles resembles that of the cell membrane, they are thought to originate from it and are commonly known as Cell Membrane Vesicles75 (Figure 2).

Illustration of bacterial extracellular vesicle release pathways: OMVs, OIMVs, EOMVs and CMVs.

Figure 2 Schematic illustration of the diverse biogenesis and release pathways of bacterial extracellular vesicles. The diagram depicts the known mechanisms of EV release in both Gram-negative and Gram-positive bacteria. (Left) A Gram-negative bacterium releasing outer membrane vesicles (OMVs) via direct blebbing from the cell surface. (Center) A bacterium undergoing lysis following bacteriophage infection, resulting in the release of phage particles alongside outer-inner membrane vesicles (OIMVs) and explosive outer membrane vesicles (EOMVs). (Right) A Gram-positive bacterium releasing cytoplasmic membrane vesicles (CMVs) through the thick peptidoglycan layer. Created with Adobe Illustrator.

bEVs serve two main purposes: Firstly, they contribute to the self-defense of bacteria by encapsulating harmful elements such as bacteriophages, antibiotics, reactive oxygen species, and antimicrobial peptides within their structure, allowing for their expulsion to reduce potential harm to the bacteria.76 One more point, bEVs can act as decoys, absorbing the impact of antibiotics that target bacterial membranes.76 Some bEVs also carry enzymes that can break down antibiotics and harbor antibiotic resistance genes, which can be shared between species through these vesicles.77–79 Finally, let us look at this point, bEVs play a role in shaping the intestinal microenvironment. They mediate interbacterial communication and can be internalized by host cells, thereby indirectly modulating the gut microenvironment to favor the growth of their parent bacteria through alterations in host cell states.80–83

Human vs. Bacterial EVs: A Dichotomous Comparison of Molecular Signatures and Biological Functions

The functional heterogeneity of EVs is fundamentally rooted in the origin of their parent cells. Human host-derived EVs and gut bacterial EVs—particularly OMVs from Gram-negative bacteria—exhibit intrinsic distinctions in their molecular cargo composition, biogenesis mechanisms, and subsequent modes of immune interaction. Elucidating these disparities is pivotal for deciphering the mechanisms underlying the “host-microbe” dialogue within the gut microecosystem.

Fundamental Divergences in Molecular Cargo Profiles and Membrane Architecture

The marked differences in protein, nucleic acid, and lipid compositions between human and bacterial EVs directly reflect the profound divergence in biogenesis pathways between eukaryotic and prokaryotic cells.

Regarding protein and lipid components, human EVs originate primarily from the endosomal system or via direct budding from the plasma membrane. Their membrane structure is enriched with cholesterol, sphingomyelin, and members of the tetraspanin superfamily (eg., CD9, CD63, CD81), forming stable “lipid raft” microdomains that facilitate signal transduction and membrane fusion.84,85 Their protein cargo highly mirrors the state of the parent cell, encompassing antigen-presenting molecules, cell adhesion molecules, and specific signaling pathway proteins, all aimed at mediating precise intercellular communication.86 In stark contrast, bacterial EVs (specifically OMVs) are formed by direct budding from the bacterial outer membrane. Their membrane skeleton is rich in lipopolysaccharides (LPS), peptidoglycan, and porins; while devoid of cholesterol, they possess potent immunogenicity.87 The protein cargo of bacterial EVs consists mainly of virulence factors (eg., hemolysins, proteases), adhesins, and metabolic enzymes. For instance, heat shock proteins (such as GroEL) carried by Helicobacter pylori OMVs can drive host inflammation via molecular mimicry, whereas probiotic-derived EVs may carry specific anti-inflammatory enzymes to maintain microbial homeostasis.88,89

In terms of nucleic acid cargo, the two exhibit distinctly different functional orientations. Human EVs carry a complex eukaryotic transcriptome, including mRNA, miRNA, lncRNA, and DNA fragments. Upon uptake by recipient cells, these molecules can directly reprogram gene expression profiles; for example, miR-146a-5p enriched in skeletal muscle stem cell-derived EVs inhibits adipogenic differentiation,90 while specific mRNAs in tumor-derived EVs serve as liquid biopsy biomarkers91,92 Conversely, bacterial EVs primarily encapsulate bacterial genomic DNA fragments, plasmid DNA, tRNA, and small non-coding RNAs. Notably, the packaging of plasmid DNA renders bacterial EVs highly efficient vectors for horizontal gene transfer, enabling the dissemination of antibiotic resistance genes or virulence factors among bacterial populations, thereby accelerating adaptive evolution.89 Furthermore, bacterial sRNAs can be directly injected into host cells to modulate host immune responses, constituting a unique mechanism of cross-species gene regulation.93

Duality in Immune Interaction Modes and Pathological Roles

Driven by the aforementioned molecular disparities, human and bacterial EVs play distinct, often opposing, biological roles within the host: the former primarily acting as endogenous homeostatic regulators, and the latter frequently serving as exogenous immune triggers or pathogenic mediators.

The core function of human EVs lies in maintaining physiological homeostasis or mediating endogenous disease progression. Under healthy conditions, host EVs promote immune tolerance and tissue repair by delivering anti-inflammatory mediators (eg., mesenchymal stem cell-derived EVs).85 However, under pathological conditions, they can transform into drivers of disease: tumor-derived EVs fuel cancer metastasis by remodeling the microenvironment, promoting angiogenesis, and facilitating immune escape;94 in neurodegenerative disorders, host EVs act as vehicles for the inter-neuronal propagation of toxic proteins such as α -synuclein (α -syn) and amyloid- β (Aβ), exacerbating the progression of PD and AD.95,96 Overall, the pathological impact of human EVs largely stems from dysfunctions within the host’s own cellular machinery.

Bacterial EVs, conversely, primarily elicit host immune responses or mediate infection-related diseases through the delivery of “danger signals.” Due to the abundance of pathogen-associated molecular patterns (PAMPs) like LPS on their surface, bacterial EVs potently activate the host innate immune system, particularly through the Toll-like receptor 4 (TLR4) pathway. This “double-edged sword” can either train the immune system to maintain homeostasis or, in cases of dysbiosis, induce chronic inflammation.14,87 Mechanistically, bacterial EVs function as “remote toxin delivery systems,” capable of transporting virulence factors to deep tissues without direct bacterial contact. They participate in biofilm formation, disrupt epithelial barriers, and can even traverse the blood-brain barrier to induce systemic diseases such as sepsis and systemic bone loss.14,97 For example, EVs from oral pathogens can trigger bursts of pro-inflammatory cytokines leading to endocarditis, while the abnormal translocation of gut microbiota-derived EVs is closely linked to metabolic syndrome and neuroinflammation. Thus, the pathological role of bacterial EVs predominantly reflects the challenge and manipulation of the host defense system by exogenous microbes.

Current Methodological Challenges in bEV Research

While the biological significance of bEVs is increasingly recognized, the interpretation of existing literature is constrained by significant methodological heterogeneity. A primary challenge lies in distinguishing bEVs from host-derived vesicles, as their overlapping physical properties often lead to cross-contamination in standard isolation protocols, potentially skewing functional attributions.98,99 Furthermore, the lack of consensus on isolation techniques—ranging from ultracentrifugation to microfluidics—results in the selective enrichment of distinct subpopulations, complicating direct comparisons across studies.98–100 Coupled with the absence of universal bacterial surface markers for precise quantification, these technical limitations suggest that reported variations in bEV abundance and cargo may partly reflect methodological biases rather than purely biological differences. Therefore, the findings summarized in the following sections should be interpreted within the context of these evolving analytical frameworks.

The Role of bEVs in Aging-Related Diseases

Recent research indicates that bEVs can penetrate the human bloodstream rather than being confined to the gastrointestinal tract, leading to heightened interest among researchers regarding their effects and the substances they carry on human health. Notably, there has been a surge in findings related to bEVs and their role in triggering aging-related diseases. This review will examine several established studies and those with promising implications for clinical applications. The mechanisms by which bEVs affects aging-related diseases are summarized in Table 2.

Table 2 Gut–Organ Axis Signaling via bEVs: Cargo, and Roles in Aging-Related Diseases

Gut–Brain Axis

Recent research has emphasized the link between the gut microbiome and the central nervous system, referred to as the gut–brain axis, which significantly contributes to neurodegenerative conditions such as AD and PD.114–116 This discovery has enhanced our understanding of the development of these neurological disorders and has created new possibilities for treatment methods. Considering the expanding research on the gut–brain axis and its crucial effects on health, we will start by examining the role of bEVs in affecting neurodegenerative illnesses. The mechanisms by which bEVs mediate gut–brain communication, including their translocation across the intestinal and blood–brain barriers and their modulation of neuroinflammation, are summarized in Figure 3.

Diagram showing bEVs crossing barriers, activating microglia and promoting neuroinflammation and tau phosphorylation in the brain.

Figure 3 Bacterial extracellular vesicles (bEVs) cross the blood-brain barrier and contribute to aging-related neurodegenerative diseases. In aging, gut dysbiosis leads to reduced short-chain fatty acid (SCFA) production and increased intestinal inflammation, compromising epithelial barrier integrity. This allows bEVs to translocate into the bloodstream or travel via the vagus nerve to the brain. Once in the central nervous system, bEVs from Paenalcaligenes hominis activate microglia through lipopolysaccharides (LPS)–Toll-like receptor 4 (TLR4)–Nuclear factor kappa-light-chain-enhancer of activated B cells (NF–κB) signaling, triggering neuroinflammation. H. pylori-derived bEVs are taken up by astrocytes and microglia, promoting amyloid-β accumulation via the C3–C3aR axis and enhancing tau phosphorylation through glycogen synthase kinase-3β activation. Furthermore, E coli bacterial extracellular vesicles deliver curli to colonic epithelial cells, upregulating death-associated protein kinase 1 and facilitating α-syn phosphorylation, which may propagate to the brain and contribute to PD pathology. Created with Adobe Illustrator.

Alzheimer’s Disease

AD, the most prevalent neurodegenerative disorder in the elderly, is characterized by progressive cognitive decline driven primarily by aging.1 Its incidence rises exponentially after age 65, posing a severe global health burden.117 Pathologically, AD is defined by the accumulation of extracellular Aβ plaques and intracellular tau neurofibrillary tangles, which synergistically induce neuronal injury.118,119 While the precise etiology remains elusive, emerging evidence suggests a critical link between AD onset and extracellular bEVs.6,120

LPS, a unique component located in the outer membrane of Gram-negative bacteria, is often called endotoxin. OMVs develop by the membrane’s outward budding process, and almost all OMVs include LPS.121 Additionally, LPS functions as a PAMP, which human cells use to identify Gram-negative bacteria and trigger immune responses. When LPS binds to the TLR4 on immune cell surfaces, it facilitates the movement of the transcription factor Nuclear factor kappa-light-chain-enhancer of activated B cells (NF–κB) from the cytoplasm into the nucleus,122–124 ultimately resulting in the secretion of inflammatory substances such as tumor necrosis factor–α (TNF–α), interleukin–1β, interleukin–6 (IL–6), and nitric oxide, thereby causing inflammation.125 In older adults, the abundance of Paenalcaligenes hominis and Escherichia coli in the gastrointestinal tract is significantly higher—8.7 and 7.7 times, respectively—compared to younger individuals. Research by Lee et al demonstrated that administering EVs and LPS derived from Paenalcaligenes hominis and Escherichia coli to SPF C57BL/6J mice can lead to colitis and AD, with LPS being a critical factor. Further investigations revealed that LPS activates the NF–κB pathway, contributing to neuroinflammation.83 Similarly, Helicobacter pylori is found in greater abundance in the intestines of older adults.126 Its secreted EVs can penetrate the brain, where they are absorbed by astrocytes and microglia, enhancing their communication through the C3–C3aR pathway, which activates microglia and promotes Aβ accumulation.101 Furthermore, EVs from Helicobacter pylori can stimulate microglia and affect the GSK–3β pathway, significantly worsening neuroinflammation and phosphorylation of tau,102,127 which are vital in cognitive decline associated with AD.128,129

At present, there are two prevailing viewpoints regarding the mechanisms by which bEVs penetrate the brain from the intestine. These viewpoints are not mutually exclusive; rather, they likely represent distinct routes for bEV entry into the brain. One viewpoint posits that bEVs traverse both the intestinal epithelial barrier and the blood–brain barrier in succession to reach the brain. The intestinal epithelial barrier serves to differentiate the internal and external environments of the intestine, typically permitting only certain solutes and water to pass.130,131 Tight junctions are the specific areas where solutes and water navigate through this barrier, known as the paracellular pathway. Claudin is a key element of this pathway, influencing the flow of substances. Additionally, Occludin and ZO–1 contribute to the stability of the paracellular pathway and support transcellular components like Claudin.132 Akkermansiaceae can release bEVs that enhance the expression of various tight junction proteins, such as Claudin–1, 4, 5, ZO–1/2, and Occludin, in IECs, thereby bolstering the barrier’s integrity.133,134 However, the abundance of these bacteria significantly declines in the gastrointestinal tract of older adults.135 Moreover, SCFAs, generated from cellulose fermentation by specific gut bacteria, are the main energy source for colon cells, with butyrate directly fueling IECs.136 Elevating SCFA levels in the gut can also strengthen the intestinal epithelial barrier, improve colitis, and support the blood–brain barrier’s integrity by increasing claudin–5 expression.137 The human body lacks the ability to produce the glycosidases necessary for cellulose degradation; instead, these enzymes are generated by gut microbiota and subsequently released through transmembrane transport. The bacteria that produce these glycosidases typically depend on SCFAs for energy. However, as people age, the abundance of essential cellulose-degrading families in the gut—such as Bifidobacteriaceae, Lachnospiraceae, and Clostridiaceae133,138—as well as Akkermansiaceae, which not only breaks down cellulose but also enhances tight junction protein levels, diminishes due to the thinning of the intestinal mucosa. This reduction leads to compromised integrity of both the intestinal epithelial barrier and the blood–brain barrier. Furthermore, as noted earlier, the aging process is associated with an increase in certain pro-inflammatory bacteria like Paenalcaligenes hominis and Escherichia coli. The OMVs they produce contain LPS, which can trigger colitis and reduce claudin–5 expression in hippocampal capillaries, thereby heightening the permeability of both the intestinal epithelial barrier and the blood–brain barrier.102 Numerous studies indicate that individuals with colitis, especially during active disease phases, experience cognitive deficits.139,140 Additionally, cognitive and emotional issues in these patients improve with colitis treatment.141,142 The beneficial bacteria Lactobacillaceae, known for lowering IL–8 levels and reducing oxidative stress, are diminished due to the chronic inflammation present in the gut.143

An alternative viewpoint indicates that certain bEVs access the brain through a pathway reliant on the vagus nerve. In older adults, the abundance of Paenalcaligenes hominis in the gut is 8.7 times higher than in younger populations. Notably, mice that were given Paenalcaligenes hominis or its derived EVs displayed signs of intestinal inflammation, cognitive impairment, activation of the brain’s immune response, and neuroinflammation.83 Conversely, vagotomized mice treated similarly only exhibited intestinal inflammation, with minimal brain pathology. When Paenalcaligenes hominis was substituted with Escherichia coli or LPS, both vagotomized and non-vagotomized mice experienced comparable levels of intestinal and brain damage. This suggests that EVs from Paenalcaligenes hominis penetrate the brain through a vagus nerve-dependent route, while those from Escherichia coli and LPS do, consequently, independently of the vagus nerve.83 Nonetheless, research on PD has shown that vagotomy can significantly reduce the entry of bEVs from orally ingested Escherichia coli into the brain.103 The debate over which bEVs can access the brain via the vagus nerve remains unresolved, and investigating the underlying factors contributing to these differences may be crucial for understanding gut–brain axis communication in the future.

In summary, current preclinical evidence robustly supports a dual-mechanism model where LPS-rich bEVs drive neuroinflammation either by compromising barrier integrity (E. coli) or via vagus nerve signaling (P. hominis), with the latter gaining strong experimental validation from vagotomy studies. However, significant uncertainties remain: the apparent contradiction regarding E. coli’s reliance on the vagus nerve between AD and PD models suggests that entry routes may be strain-specific or context-dependent, a hypothesis yet to be resolved. Furthermore, while these mechanistic pathways are well-defined in murine systems, their direct translation to human AD pathophysiology remains largely inferential, relying primarily on correlative microbiota shifts and indirect biomarkers rather than definitive proof of bEV translocation in patient brains.

Parkinson’s Disease

PD is the second most common neurodegenerative disorder globally, characterized by motor symptoms such as resting tremors, bradykinesia, and rigidity.2 The prevalence of PD increases markedly with age, particularly affecting individuals over 65.144,145 Pathologically, the disease is defined by the intracellular aggregation of α -syn into Lewy bodies, leading to dopaminergic neuron loss in the substantia nigra.146 While PD etiology involves a complex interplay of genetic susceptibility and environmental exposures, emerging research highlights a pivotal role for the gut-brain axis.147–149 Specifically, bacterial bEVs derived from the gut microbiota have been implicated in modulating α -syn pathology and driving disease progression.150–152

LRRK2 is a prevalent gene associated with an increased risk of PD in Asia.153 Research conducted by Liang et al reveals that individuals with the LRRK2 mutation have a sevenfold higher abundance of Escherichia coli compared to those without the mutation who are unaffected.103 This may be attributed to the ability of E. coli to generate distinctive curli-containing EVs. Curli is an amyloid protein found on the surface of bacteria like E. coli.154 When bEVs deliver curli to the epithelial cells of the colonic mucosa, there is a notable rise in DAPK1 expression, which in turn enhances the phosphorylation of α-syn in the intestines. Furthermore, curli has been identified as a potential catalyst for the misfolding of α-syn, which may lead to increased α-syn aggregation.104,105 The R1628P variant in the LRRK2 gene obstructs the degradation of α-syn in the gastrointestinal system, while the interaction of these factors leads to the build-up of phosphorylated α-syn within the intestines.103 Additionally, research indicates that EVs from Escherichia coli can transport α-syn from the gut to the brain through the vagus nerve, potentially triggering symptoms akin to PD.103,106,155

Collectively, these findings establish a compelling mechanistic link in LRRK2-mutant models, where E. coli-derived curli on bEVs acts as a specific seed for α-syn misfolding and facilitates its retrograde transport via the vagus nerve. However, it is critical to distinguish that this “gene-environment” synergy has been primarily validated in transgenic murine systems. Whether this specific curli-mediated seeding mechanism operates with similar potency in sporadic PD cases (without LRRK2 mutations) or in the complex human gut environment remains speculative. Current human evidence is largely limited to correlative increases in Enterobacteriaceae, lacking direct demonstration of curli-bearing bEVs traversing the human vagus nerve. Thus, while the pathway is experimentally robust in genetically susceptible hosts, its generalizability as a universal driver of human PD pathology awaits confirmation in diverse clinical cohorts.

Mechanistic Gaps in Tissue Tropism and Molecular Homing

While emerging evidence confirms that bEVs can translocate to distant organs such as the brain, adipose tissue, and bone, the precise molecular determinants governing their tissue tropism remain largely elusive. Unlike mammalian exosomes, where specific integrins and tetraspanins dictate organ-specific homing, the “zip codes” for bacterial vesicles are yet to be fully decoded. Current data suggest a dual-mode entry mechanism: passive translocation driven by barrier compromise (eg., LPS-mediated disruption of tight junctions) versus active, receptor-mediated transport.

A critical area for future investigation lies in the specific molecular interactions between bEV surface components and host endothelial receptors. For instance, Outer membrane protein A, a conserved porin found on many Gram-negative bEVs, is known to facilitate bacterial invasion of the blood-brain barrier (BBB) by binding to host glycoprotein 96.156 However, whether bEV-associated outer membrane protein A retains this functional conformation to mediate specific transcytosis across brain microvascular endothelial cells, independent of the parent bacterium, remains an open question. Similarly, the accumulation of bEVs in adipose tissue suggests potential interactions with scavenger receptors or lipid raft domains on adipocytes, yet no specific ligand-receptor pair has been identified.157

It is hypothesized that the heterogeneous surface proteome and lipid composition of bEVs—shaped by their bacterial origin and environmental stressors—create distinct “molecular signatures” that dictate their biodistribution.158–160 Future studies employing cryo-electron microscopy to map bEV surface topography, combined with genetic knockout models of candidate bacterial surface proteins (eg., ompA-null strains) and host endothelial receptors, are urgently needed to elucidate these homing mechanisms. Until then, the organ-specific accumulation of bEVs should be interpreted as a complex interplay of passive leakage, immune cell-mediated transport, and potentially undiscovered active targeting pathways.161–163

Gut–Metabolism Axis

The relationship between gut microbiota and metabolic regulation, referred to as the gut–metabolism axis, is vital in the context of conditions such as T2D, obesity, and MASLD. These health concerns are especially common in older adults and are linked to a heightened risk of various comorbidities, posing a significant challenge to public health.164,165 Investigations into how gut microbiota influences metabolic health started early and have produced a wealth of findings, ranking just behind studies on the gut–brain axis. Emerging evidence points to bEVs as pivotal mediators in this axis, orchestrating a complex balance between metabolic deterioration and homeostasis through diverse molecular cargos.

Metabolic Dysfunction-Associated Fatty Liver Disease

MASLD, formerly known as non-alcoholic fatty liver disease (NAFLD), is the most prevalent chronic liver condition globally, characterized by hepatic fat accumulation accompanied by cardiometabolic risk factors.3,166 The prevalence of MASLD rises steadily with age, and critically, the risk of progressing to severe liver fibrosis increases significantly in older populations.167,168 While the disease burden is substantial, recent research has identified a novel mechanism driving this age-related progression: bEVs. Emerging evidence suggests that bEV-mediated signaling exacerbates hepatic inflammation and fibrosis, particularly in the context of aging.169,170

Fizanne et al conducted a seminal study on bEVs obtained from the feces of healthy subjects, individuals with MASLD, and those suffering from metabolic dysfunction-associated steatohepatitis (MASH) Their research revealed that these bEVs, produced by gut microbiota,103 could diminish the levels of critical tight junction proteins, specifically occludin and ZO–1, via a pathway reliant on non-muscular myosin light chain kinase (nmMLCK).171,172 This molecular alteration directly enhances the permeability of the intestinal epithelial barrier, facilitating the translocation of microbial products. Furthermore, obesity in MASLD patients significantly increases the risk of intestinal barrier damage,173–177 a condition often compounded by a compromised hepatic clearance system. Specifically, barrier dysfunction and systemic endotoxemia can lead to a decrease in Vsig4+ Kupffer cells, thus hindering the liver’s capacity to eliminate circulating EVs.108,178 These Vsig4+ Kupffer cells play a vital role in safeguarding host cells from the detrimental effects of bEVs by clearing them from circulation through a complement C3-mediated opsonization mechanism.178,179 However, studies in C57BL/6J mice have revealed that the abundance of Vsig4+ Kupffer cells is markedly diminished in aged animals180 and in those subjected to a prolonged Western diet rich in sugars, fats, and refined carbohydrates.108 This indicates that both aging and a high-calorie diet may synergistically contribute to a rise in circulating bEVs.

Once these harmful bEVs penetrate the compromised intestinal barrier and enter the bloodstream, their surface PAMPs, such as LPS, interact with TLR4 on macrophages, initiating a robust inflammatory response.181–184 Additionally, some bEVs can provoke inflammation directly in hepatic sinusoidal endothelial cells, activate hepatic stellate cells (HSCs), and elevate fibrosis levels.107 Beyond protein-mediated signaling, the Cyclic GMP–AMP Synthase–Stimulator of Interferon Genes (cGAS/STING) pathway is essential for the metabolic dysfunction caused by bacterial DNA cargo. Heightened STING expression in liver tissue leads to pronounced inflammation in hepatocytes and liver fibrosis.107 Specific bEVs can transport bacterial DNA into hepatocytes and HSCs, activating the cGAS/STING pathway,152 which results in increased platelet-derived growth factor β and inflammatory mediators. This cascade causes hepatocyte inflammation and drives the activation and proliferation of HSCs. Such inflammation in hepatocytes can accelerate the progression of MASLD to MASH,185–187 while the activation of HSCs into myofibroblasts and subsequent extracellular matrix deposition remains a central event in the development of liver fibrosis.188,189 The mechanisms are summarized in Figure 4.

Diagram showing bEVs evading Vsig4 Kupffer cells, activating cGAS/STING in hepatocytes and promoting inflammation and fibrosis.

Figure 4 Bacterial extracellular vesicles (bEVs) evade phagocytosis by Vsig4+ Kupffer cell and promote aging-related metabolic disorders. In healthy individuals, bEVs entering the liver via the portal circulation are primarily cleared by Vsig4-expressing Kupffer cells through opsonic phagocytosis. However, in aging, the number of these functional Kupffer cells is markedly reduced, leading to impaired clearance of bEVs. Accumulated bEVs can deliver bacterial DNA to hepatocytes and hematopoietic stem cells (HSCs), activating the GMP–AMP Synthase–Stimulator of Interferon Genes (cGAS/STING) pathway. This triggers the release of pro-inflammatory cytokines and upregulates platelet-derived growth factor-β (PDGF-β), promoting hepatocyte inflammation and activation of hematopoietic stem cells, thereby exacerbating the risk of liver fibrosis. Created with Adobe Illustrator.

In conclusion, the mechanistic framework established in murine models—where aging and Western diet synergistically impair bEV clearance (via Vsig4+ Kupffer cell loss) and enhance gut permeability, driving liver inflammation via the cGAS/STING pathway—is biologically compelling. However, translating these findings to human MASLD requires caution due to profound species-specific differences in metabolism, bile acid composition, and dietary complexity. Unlike the controlled, high-fat diets used in mice, human dietary patterns are highly heterogeneous, and the impact of specific bEV cargos on human HSCs may differ significantly from murine responses. Furthermore, while correlative studies link gut dysbiosis to human liver fibrosis, direct causal evidence demonstrating that circulating bEVs drive fibrosis progression in patients—distinct from other metabolic confounders like insulin resistance or visceral adiposity—remains elusive. Thus, while the “gut-liver bEV axis” is a robust driver in experimental steatohepatitis, its precise contribution to the multifactorial pathogenesis of human MASLD warrants validation in longitudinal cohorts with detailed dietary and metabolomic profiling.

Obesity and Type 2 Diabetes

T2D has emerged as a global health crisis,190 with a prevalence that rises sharply with age; notably, nearly half of all affected individuals are now aged 65 or older.191,192 Characterized by insulin resistance and impaired beta-cell function, T2D is frequently comorbid with metabolic disorders such as MASLD and cardiovascular disease.193–195 While traditional views focus on systemic metabolic dysfunction, recent research highlights a critical role for the gut microbiome in disease progression. Specifically, bEVs have been identified as key mediators in host-microbe crosstalk, carrying bioactive cargo that significantly influences insulin sensitivity and metabolic homeostasis.196–198

Research conducted by Choi et al revealed that a diet high in fats significantly increased the abundance of Proteobacteria, especially Paenalcaligenes hominis, in mice. Furthermore, the bEVs generated by P. hominis are capable of traversing the intestinal barrier to access key organs like the liver, adipose tissue, and skeletal muscles. This interaction disrupts insulin signaling pathways and hinders glucose absorption in skeletal muscles, leading directly to insulin resistance and glucose intolerance.109 Alongside the rise in detrimental bacteria, unhealthy eating patterns can also diminish beneficial bacteria, resulting in a decline in advantageous bEVs, which may contribute to the onset of T2D. Studies indicate that obese and type 2 diabetic C57BL/6J mice exhibit a notably lower presence of Akkermansia muciniphila compared to their healthy counterparts, and the ingestion of prebiotics can restore its abundance.199 Additionally, bEVs from A. muciniphila found in the feces of healthy individuals are significantly more prevalent than those in patients with T2D.133

Subsequent research concerning this bacterium has revealed that the delivery of bEVs originating from A. muciniphila to diabetic mice fed a high-fat diet can lead to an increase in the expression of the tight junction protein occludin, enhance the integrity of tight junctions, decrease weight gain, and improve glucose tolerance. Similarly, EVs derived from Escherichia coli Nissle 1917 (E. coli Nissle 1917) can aid in alleviating obesity and type 2 diabetes by reducing the Firmicutes/Bacteroidetes ratio in the gut, promoting the proliferation of SCFA-producing bacteria, and elevating SCFA concentrations in the intestines. These short-chain fatty acids are subsequently transported to the liver via the hepatic portal vein, where their heightened levels may inhibit COX2, resulting in a downregulation of the metabolism of ω–6 unsaturated fatty acids, thereby improving conditions associated with obesity and type 2 diabetes.110

Collectively, the studies delineated above underscore a sophisticated bidirectional role for bEVs in metabolic disorders, governed by a distinct dichotomy between pathogenic and protective vesicles. Harmful bEVs, typified by those derived from P. hominis or dysbiotic communities prevalent in aging and Western diet contexts, operate through a “leak-inflame-damage” axis. They actively degrade intestinal barrier integrity by downregulating tight junction proteins (eg., occludin, ZO-1) via nmMLCK-dependent pathways, thereby permitting the systemic translocation of pro-inflammatory cargos such as LPS and bacterial DNA. Once in circulation, these vesicles trigger innate immune receptors (TLR4, cGAS/STING) in metabolic tissues, sustaining chronic low-grade inflammation that impairs insulin signaling in muscle and adipose tissue and drives fibrogenesis in the liver. Conversely, protective bEVs, exemplified by those from A. muciniphila and E. coli Nissle 1917, function via a “seal-modulate-resolve” mechanism. They reinforce the epithelial barrier by upregulating tight junction components, effectively preventing endotoxin leakage. Moreover, they modulate the gut ecosystem to favor SCFA production, which exerts systemic anti-inflammatory effects (eg., COX2 inhibition) and directly enhances metabolic flexibility. This delicate equilibrium between detrimental and beneficial bEV populations is dynamically regulated by host factors; aging and poor diet tip the scale towards pathogenic bEV dominance, whereas prebiotic interventions and healthy lifestyles can restore the protective bEV milieu. Understanding this balance is crucial for developing targeted therapies that not only suppress harmful vesicle production but also augment the release of therapeutic bEVs.

However, a critical gap exists between these proof-of-concept findings in controlled murine models and their clinical applicability in humans. Unlike the genetically homogeneous and diet-controlled mice used in these studies, human T2D patients exhibit vast heterogeneity in genetic background, long-term dietary patterns, medication history, and baseline microbiota composition. Consequently, the therapeutic efficacy of single-strain bEV supplementation observed in mice may be diluted or altered in the complex human gut ecosystem, where colonization resistance and inter-individual variability are significant. Furthermore, while correlative data link specific bEV profiles to human insulin resistance, longitudinal evidence demonstrating that modulating bEV cargo can sustainably reverse T2D progression in patients—independent of caloric restriction or pharmacological intervention—remains speculative. Thus, while the “bEV-metabolism axis” offers a promising mechanistic target, translating these insights into robust clinical therapies requires rigorous validation in diverse human cohorts that account for the multifactorial nature of the disease.

Gut–Cardiovascular Axis

The interplay between gut microbiota and cardiovascular conditions, including atherosclerosis, is highlighted by the gut–cardiovascular axis. In older adults, cardiovascular diseases are prevalent and have a significantly high mortality rate, often linked to disorders of the metabolic system. The mechanisms underlying gut cardiovascular axis and the mechanisms underlying gut bone axis mentioned later are summarized in Figure 5.

Diagram of gut microbiota effects on vascular and bone health with three sections.

Figure 5 Distinct cargos in Bacterial extracellular vesicles differentially modulate aging-related gut and bone diseases, exerting either protective or detrimental effects. Helicobacter pylori-derived extracellular vesicles carry lipopolysaccharide and cytotoxin-associated gene A into systemic circulation, inducing ROS production and activating Nuclear factor kappa-light-chain-enhancer of activated B cells (NF–κB) signaling in vascular endothelial cells. This promotes secretion of pro-inflammatory cytokines (e.g., IL–6, TNF–α), leading to impaired endothelial proliferation and accelerated apoptosis—key events in atherogenesis. In contrast, Lactobacillus rhamnosus GG (LGG)-derived EVs accumulate in vascular smooth muscle cells, where cargo such as ribonucleases and heat shock proteins activate the protein kinase B pathway, enhancing intracellular calcium deposition and expression of osteogenic markers, thereby contributing to vascular calcification. Moreover, LGG fosters the expansion of Akkermansia muciniphila, whose EVs translocate to bone tissue, promoting osteoblast activity and suppressing osteoclastogenesis, thus supporting bone integrity. Created with Adobe Illustrator.

Atherosclerosis

Atherosclerosis is a chronic, lipid-driven inflammatory disease characterized by endothelial dysfunction and the accumulation of arterial plaques, which can progress to calcification, rupture, and thrombosis.200 While traditionally recognized as an age-associated condition, its prevalence rises markedly in middle-aged and older adults globally, with distinct trajectories in men and women post-menopause.201,202 Beyond classical risk factors, emerging research highlights the gut microbiome as a critical modulator of vascular inflammation. Specifically, bEVs have gained attention for their potential to transport pro-inflammatory cargo, thereby influencing plaque stability and disease progression.203,204

Healthy vascular endothelial cells play a vital role in ensuring the proper functioning of vascular smooth muscle cells,205 thereby helping to avert atherosclerosis. In contrast, when vascular endothelial cells are compromised, they release inflammatory substances that draw monocytes to the injury site. These monocytes then absorb low-density lipoproteins, transforming into foam cells and contributing to plaque development.206 Recent findings have identified the presence of Helicobacter pylori DNA203 and its virulence factor Cytotoxin-associated gene A (CagA)204 in atherosclerotic plaques. Research by Wang et al revealed that EVs from Helicobacter pylori carry LPS and CagA into the bloodstream. This process heightens reactive oxygen species (ROS) levels in vascular endothelial cells and activates the NF–κB signaling pathway, resulting in increased inflammatory markers such as IL–6 and TNF–α. Consequently, these changes hinder the proliferation of vascular endothelial cells and hasten their apoptosis, thereby facilitating the progression of atherosclerotic plaque formation.111

Recent studies have indicated that the probiotic Lactobacillus rhamnosus GG (LGG) may contribute to the development of atherosclerosis.15 This probiotic has gained considerable interest for its effectiveness in treating various conditions, including cancer,207 acute gastroenteritis,208 and bone density loss,209 as well as for its role in preventing pneumonia210 in critically ill individuals. Nonetheless, there is a scarcity of information regarding its potential toxic effects. Individuals suffering from CKD (chronic kidney disease) are at an increased risk for atherosclerosis due to inflammatory reactions linked to immune system imbalances and disruptions in lipid and cholesterol metabolism.211 Research conducted by Wei et al revealed that CKD rats that received LGG exhibited a markedly greater extent of atherosclerosis than those that did not receive the probiotic. This phenomenon occurs because the bEVs released by LGG accumulate in vascular smooth muscle cells, where they trigger the AKT signaling pathway through components like ribonucleases and heat shock proteins, leading to elevated intracellular calcium levels, enhanced expression of bone-related proteins, and increased vascular calcification.15

Ultimately, specific YRNAs and their derivatives, known as YsRNAs, found within hEVs are crucial in the development of atherosclerosis. These small RNAs derived from YRNA can trigger the activation of caspase 3 and the NF–κB signaling pathways, leading to increased cell death and inflammatory reactions, which worsen atherosclerosis.212 Additionally, YRNA and YsRNA have been detected in certain bEVs, suggesting they may also contribute to atherosclerosis through comparable mechanisms.213,214

Furthermore, this study extends its scope to the regulatory role of bioactive substances secreted by specific gut microbiota in the progression of atherosclerosis. Notably, certain commensal bacteria, such as Clostridium clusters and Roseburia species, have been shown to modulate host lipid metabolism and inflammatory responses through both their metabolic byproducts (eg., butyrate) and secreted extracellular vesicles.215,216 While butyrate is known to act as a histone deacetylase inhibitor to suppress the NF-κB signaling pathway and mitigate vascular inflammation, recent evidence suggests that extracellular vesicles derived from beneficial bacteria (eg., Lactobacillus species) can also deliver functional cargo to host cells to regulate cholesterol efflux and immune polarization. These secreted factors are capable of traversing the intestinal mucus layer and entering the systemic circulation, thereby influencing endothelial function within the arterial wall. This finding augments our understanding of the “gut-vessel axis,” suggesting that the combined action of metabolites and vesicles from specific bacterial strains serves as a critical mediator linking gut dysbiosis to the pathogenesis of atherosclerosis.215,217

In summary, the emerging paradigm of bEVs in atherosclerosis reveals a context-dependent duality: while pathogens like H. pylori deliver direct virulence factors (eg., CagA) to destabilize plaques, even traditionally beneficial strains like L. rhamnosus GG can exert paradoxical pro-calcific effects under specific pathological conditions such as CKD. However, translating these mechanistic insights to human cardiovascular health requires navigating significant complexity and heterogeneity. Unlike the controlled, single-strain interventions in murine models, the human vascular niche is exposed to a dynamic mixture of bEVs from hundreds of microbial species, making it difficult to isolate the net effect of any single vesicle population. Furthermore, the tipping point at which a “beneficial” bEV cargo becomes detrimental—dependent on host factors like renal function, lipid profiles, and baseline inflammation—remains undefined in clinical populations. Current evidence is largely restricted to animal models of comorbidities or in vitro systems; thus, longitudinal human studies are critically needed to determine whether circulating bEVs serve as causal drivers of plaque progression or merely as biomarkers of underlying gut dysbiosis and systemic inflammation.

Gut–Bone Axis

While osteoporosis is frequently observed in older adults, studies focusing on the link between the gut and bone health began later than investigations in other fields, and general awareness remains limited. Critically, direct evidence demonstrating a causal role for bEVs in bone homeostasis is still scarce, with most current insights derived from indirect associations or murine models. However, as understanding of the gut microbiome’s systemic impact expands, the “gut-bone axis” mediated by bEVs is increasingly recognized as a potential regulator of skeletal health.

Osteoporosis

Osteoporosis stands as the most prevalent bone disorder globally4, marked by a decrease in bone density resulting from an imbalance in bone maintenance. This maintenance, known as bone homeostasis, involves a delicate equilibrium between the activity of osteoclasts, which break down bone, and osteoblasts, which create bone matrix, all governed by intricate regulatory mechanisms.218 When the breakdown of bone surpasses its formation, osteoporosis develops.219 Recent research has highlighted the significant influence of gut microbiota on the development of osteoporosis,220–223, yet the specific contribution of bEVs remains an emerging and understudied frontier.

The gut plays a significant role in bone density regulation via the immune system. Research indicates that gut microbiota can trigger chronic inflammatory bowel diseases, which in turn lead to inflammation that contributes to bone degradation.224,225 The primary forms of inflammatory bowel disease (IBD), Crohn’s disease and ulcerative colitis, are both linked to decreased bone mineral density in the femoral neck and trabecular bone.226 A study by Peek et al suggests a potential mechanism: intestinal inflammation alters the expression of osteoclast precursors (OCPs), crucial for osteoclast differentiation. OCPs from mice with intestinal inflammation exhibited marked increases in osteoclast differentiation ex vivo, correlating with elevated pro-osteoclast factors.112 Given that older adults are at increased risk for IBD and that EVs from elderly-enriched bacteria like Escherichia coli and Paenalcaligenes hominis can induce colitis in mice,83 it is plausible but not yet definitively proven that bacterial EVs may indirectly contribute to osteoporosis by exacerbating gut inflammation and subsequent systemic immune activation. Direct isolation and characterization of bEVs from IBD patients and their specific effects on human bone cells remain areas requiring urgent investigation.

In contrast to indirect inflammatory pathways, emerging data suggest a potential direct role for specific beneficial bEVs. EVs from Akkermansia muciniphila have been shown to infiltrate and accumulate within bone tissue in mice, mimicking estrogenic effects by promoting bone formation and suppressing bone resorption. Administering A. muciniphila directly to ovariectomized mice reversed osteoporosis.113 This indicates a potential therapeutic avenue via FMT or targeted probiotics. Notably, A. muciniphila is prevalent in younger individuals (average relative abundance ~9.2%) but drops significantly in older adults (~0.4%).126 This age-related decline correlates with increased osteoporosis susceptibility, suggesting that the loss of protective bEVs might be a contributing factor alongside hormonal changes. However, it must be explicitly acknowledged that these findings are primarily based on ovariectomized mouse models. Whether human osteoblasts and osteoclasts respond to bacterial vesicles with similar sensitivity, and whether bEVs can truly replicate complex steroid hormone signaling in humans, remains speculative without direct clinical evidence.

Collectively, these findings propose a tentative dual-mechanism model for bEVs in osteoporosis: pathogenic vesicles may indirectly drive bone loss via gut-mediated systemic inflammation, while beneficial vesicles (eg., from A. muciniphila) could potentially target bone tissue to exert anabolic effects. Nevertheless, the field is in its infancy. Despite the established role of the gut microbiota in bone health, research specifically focusing on bEVs as mediators of the gut-bone axis remains remarkably scarce. Current understanding is largely confined to preliminary animal models, with a critical paucity of human clinical data characterizing the biodistribution, bioavailability, and direct cellular impacts of bEVs on human skeletal tissue. Bridging these murine insights to human pathophysiology requires addressing the profound impact of age-related microbial succession, species-specific hormonal contexts, and confounding lifestyle factors. The dramatic decline of A. muciniphila observed in aging mirrors human trends, yet quantifying the causal contribution of this specific bEV loss to human bone density—distinct from the effects of menopause, lifelong nutrition, and polypharmacy—remains highly challenging. Furthermore, the “bEV-as-hormone” hypothesis, while compelling in mice, lacks validation in elderly human cohorts. Thus, while the “gut-bone axis” mediated by bEVs offers a novel theoretical paradigm for age-related bone loss, its translational potential hinges on rigorous future studies to validate these mechanisms in humans and decipher the precise interplay between declining beneficial bEVs and rising inflammatory burdens. Until such direct evidence emerges, the role of bEVs in human bone homeostasis should be interpreted with caution.

A Unified Mechanistic Model: Gut Dysbiosis Drives Harmful bEV Accumulation in Aging

Synthesizing the evidence from the gut–brain, gut–metabolic, gut–cardiovascular, and gut–bone axes, we propose a unified conceptual framework to explain how bEVs mediate multi-organ decline in aging. The core of this model is that aging-associated gut dysbiosis drives a systemic shift in the bEV landscape, tipping the balance from homeostatic regulation to pathological propagation.

The “Dysbiosis-Permeability-Clearance” Axis

In a homeostatic (young/healthy) state, the gut microbiota is dominated by beneficial taxa that release protective bEVs (eg., those producing SCFAs or reinforcing tight junctions), which are efficiently cleared by a robust reticuloendothelial system. However, as individuals age, physiological decline (eg., intestinal barrier thinning, immunosenescence) combined with lifestyle factors often prevalent in older populations (eg., reduced physical activity, low fiber intake, and cumulative antibiotic exposure) creates an intestinal environment conducive to pathobiont expansion. For instance, Lee et al observed that while oral administration of Paenalcaligenes hominis temporarily increased its abundance in mice, levels reverted to baseline upon cessation.83 This suggests that the aged gut environment selectively favors specific bacteria capable of thriving under chronic inflammatory conditions, while failing to support beneficial taxa.

In this dysbiotic state, the production of harmful bEVs—enriched with virulence factors like LPS, CagA, and pro-inflammatory RNAs—increases, exacerbating intestinal inflammation and barrier permeability.83,102 Simultaneously, the abundance of protective bEVs derived from beneficial taxa (eg., those producing SCFAs or reinforcing tight junctions) diminishes significantly.30,126,133,138,227 This dual imbalance results in a massive influx of detrimental bEVs into the circulation. Crucially, this influx is compounded by an age-related decline in systemic clearance mechanisms. Studies indicate that aging180 and obesity108 reduce the population of Vsig4+ Kupffer cells, the primary scavengers responsible for clearing circulating bEVs. Consequently, harmful bEVs accumulate in the bloodstream, are taken up by distant host cells, and trigger the diverse array of aging-related diseases detailed in Gut–Brain AxisGut–Bone Axis (Figure 6).

Illustration of healthy vs. fragile gut-liver axis showing Kupffer cells, bacteria and extracellular vesicles.

Figure 6 Bacterial extracellular vesicles escape from damaged intestinal epithelial barriers into the bloodstream and cause aging-related diseases. Aging disrupts gut–liver axis homeostasis: intestinal dysbiosis and reduced short-chain fatty acids/sIgA compromise epithelial barrier function, facilitating translocation of bacterial extracellular vesicles. Concurrently, diminished Vsig4+ Kupffer cells in the aging liver impair systemic clearance of bacterial extracellular vesicles, enabling their dissemination to peripheral organs and driving inflammaging. Created with Adobe Illustrator.

Implications for Intervention: Restoring Equilibrium

This unified model posits that the pathology of aging-related diseases is driven not merely by the presence of specific pathogens, but by a systemic failure of the “bEV homeostatic axis.” By identifying bEVs as the central effector molecules linking gut dysbiosis to distant organ damage, the therapeutic paradigm must shift from simply altering microbial composition to directly modulating vesicle cargo and enhancing host clearance capacity. Restoring the equilibrium between harmful and protective bEVs—thereby re-establishing the lost homeostatic state—thus emerges as a critical, yet largely unexplored, frontier for developing next-generation interventions against multi-organ decline.

bEVs Pave the Way for Next-Generation Microbiome Therapeutics and Diagnostics

The identification of bEVs as key mediators in the gut–system axis marks a paradigm shift in aging research, offering new paths for therapy and diagnosis. To provide a comprehensive view of this rapidly evolving field, we organize our discussion around four core pillars: therapeutic interventions, diagnostic potential, translational barriers, and future directions.

Therapeutic Interventions: From Dietary Modulation to Engineered Vesicles

Modifying the gut microbiota to alter the bEV landscape is gaining attention as a novel treatment approach with significant potential. Strategies range from broad lifestyle modifications to precise biological engineering, each offering distinct mechanisms for restoring host health.

Dietary Modulation and Longevity

Adjusting the composition of one’s diet—specifically the ratios of fiber, protein, carbohydrates, and fats—can significantly restore the structure of the gut microbiota and its vesicle output. Interestingly, the prevalence of various aging-related diseases does not merely rise with advancing years; instead, it often follows an inverted “U” pattern, diminishing among those who live exceptionally long lives. These individuals, regarded as having aged “successfully,” often possess dietary habits that foster a healthy gut microbiome.228 A prime example is Sardinia, one of the global “Blue Zones” noted for extended lifespans.229 Research there shows that the local Mediterranean diet, abundant in vegetables, fruits, legumes, olive oil, and fish, is particularly rich in fiber and polysaccharides. The fermentation of these components leads to the production of SCFAs, which serve as an energy source for the Verrucomicrobia phylum. Consequently, there is a notably higher presence of Verrucomicrobia, including Akkermansia muciniphila, in the intestines of Sardinia’s long-lived residents compared to the general population.230 Similarly, a study of centenarians in Bama County, China, found their diets are higher in fiber, enriching their gut microbiota with Ruminococcaceae capable of producing and utilizing SCFAs, thus supporting a healthy microbial environment.231 These cases underscore diet as a primary driver of a protective bEV profile.

bEVs as Therapeutic Agents

Beyond diet, bEVs themselves are emerging as promising cell-free therapeutic agents. Akkermansia muciniphila-derived EVs (AEVs) have been the focus of extensive research. Upon uptake by IECs, AEVs significantly enhance both the quantity (increasing from 5.11% to 19.89%) and functionality of mucus-secreting goblet cells, while substantially thickening the intestinal mucus layer.232 Furthermore, AEVs lower the expression of Toll-Like Receptor 2 and TLR4 in mouse colonic tissues, mitigating inflammation and reducing epithelial barrier permeability.135 Research by Kang et al indicates that oral administration of AEVs alleviates colitis in C57BL/6J mice.233 Mechanistically, AEVs release encapsulated glycosidases that degrade cellulose, contributing to SCFA generation and addressing deficits from inadequate cellulose consumption.234 Crucially, AEVs promote the growth of beneficial phyla such as Firmicutes (including Lachnospiraceae, Lactobacillaceae, and Ruminococcaceae) and Bacteroidetes (like Bacteroides spp. and Alistipes spp.), while decreasing potentially harmful bacteria like Proteobacteria (Klebsiella pneumoniae).232 This selective modulation occurs via membrane fusion, a process linked to the hydrodynamic diameter and zeta potential of the bEVs, where Bacteroidetes readily absorb AEVs while Salmonella and E. coli show minimal uptake.232,235 Additionally, AEVs taken up by Peyer’s patches enhance mucosal IgA production.232 Specific bacteria like B. acidifaciens and B. thetaiotaomicron can absorb mucin AEVs, stimulate their own growth, convert IgM to IgA, and facilitate its transport, further elevating IgA levels essential for clearing pathobionts.236–241 Notably, Shin et al revealed that A. muciniphila abundance in intestinal mucus decreases significantly with age (from 9.2% in young mice to 0.4% in older mice); oral administration of A. muciniphila or its EVs markedly alleviates aging-related intestinal dysfunction and extends healthspan83. Similarly, bEVs from the next-generation probiotic Faecalibacterium prausnitzii possess the capability to restore the intestinal environment.242

Fecal Microbiota Transplantation

Moreover, FMT has shown promising results in managing stubborn cases of Crohn’s disease and ulcerative colitis by resetting the entire microbial and vesicle ecosystem.243 Tailored interventions targeting the gut microbiota for particular health conditions, including specific dietary and supplementation strategies based on individual microbiome profiles, are increasingly recognized as vital for enhancing health benefits. However, despite these advances, critical challenges remain in determining the optimal dosage, frequency, and delivery vehicles (eg., enteric coating) for oral bEV administration to ensure stability through the gastrointestinal tract. Furthermore, it remains unclear whether bEV therapies can effectively reverse established age-related tissue damage or if they are primarily prophylactic; defining the therapeutic window and potential synergistic effects with existing geriatric medications is essential for clinical translation.

Diagnostic Potential: BEVs as Biomarkers of Biological Age and Frailty

bEVs are crucial in understanding the aging process, especially for evaluating biological age. As people age, metabolic functions and immune responses undergo notable transformations, influencing health and indicating biological age through changes in gut microbiota composition and activity. Studies show a strong link between bEV levels and biological age, suggesting bEVs could be promising new biomarkers for determining an individual’s aging condition.244

The gut microbiome modulates cellular signaling and immune functions by releasing bEVs, a mechanism intricately linked to age-related physiological transformations.245 Bioactive elements in bEVs, including proteins, lipids, and nucleic acids, facilitate host-microbial interactions that influence metabolic and immune conditions, potentially fostering or hindering aging-associated diseases.225,246 For instance, SCFAs present in bEVs are vital for managing inflammatory processes and metabolic well-being, impacting the evaluation of biological age.218 Consequently, examining the quantity and makeup of bEVs yields valuable insights for determining biological age and assisting in the early identification of health threats.

The significance of bEVs in forecasting frailty is gaining acknowledgment. With an aging population, frailty has emerged as a crucial element influencing quality of life. Studies suggest that examining bEVs can offer vital biomarkers to pinpoint those at risk of developing frailty before clinical symptoms appear, allowing for timely intervention.218 By tracking bEV concentrations and components, one can evaluate metabolic health, inflammation levels, and immune response, providing strong evidence for anticipating frailty and associated conditions like cardiovascular issues and neurodegenerative diseases. Additionally, properties of bEVs are linked to specific illnesses; for example, a notable correlation exists between gut microbiota imbalances and AD. Serving as information carriers, bEVs can indicate the physiological status of such imbalances, laying the groundwork for early detection.244

It is also important to note that host cell-derived EVs play a key role in aging by mediating intercellular communication and transferring bioactive molecules (proteins, lipids, miRNAs, lncRNAs) that propagate senescence, inflammation, and oxidative stress. EVs from aged cells can exacerbate dysfunction by promoting inflammatory responses and impairing autophagy, often through pathways like Nrf2. Simultaneously, age-associated molecular changes in host EVs, such as altered miRNA profiles, offer potential biomarkers for early detection of conditions like AD, highlighting their dual role as both drivers of aging and tools for diagnosis.247 Nevertheless, a major hurdle is the lack of standardized reference ranges for bEV biomarkers across diverse populations, accounting for variables like diet, geography, and medication use. Additionally, longitudinal studies are urgently needed to distinguish whether specific bEV signatures are causal drivers of frailty and disease progression or merely reactive byproducts, which is essential for validating their utility as predictive rather than just descriptive markers.

Translational Barriers: Heterogeneity, Immunogenicity, and Safety

The purification, quantification, and functional assessment of bEVs pose significant challenges. Variations in properties and constituents occur due to differing experimental setups and sample origins, hindering a comprehensive understanding of their roles. Studies indicate that bEVs are structurally and functionally diverse, transporting a range of bioactive substances. This diversity makes consistent comparisons and reproducibility among research facilities difficult.248 Additionally, the absence of standardized methods for effective isolation (eg., ultracentrifugation vs. size-exclusion chromatography) and quantification (particle count vs. protein mass) restricts their use in preclinical and clinical research. To progress, the scientific community must develop cohesive standards and protocols encompassing all facets of sample collection, processing, and analysis.245

Beyond technical standardization, evaluating immunogenic potential and long-term safety is crucial. bEVs originate from various intestinal bacteria, and these different origins can provoke distinct immune reactions. Recent studies suggest EVs from specific sources may possess immunogenic properties, activating the immune system and potentially leading to adverse effects.246 For example, when biological barriers are crossed, bEVs might trigger an antibody response, diminishing therapeutic effectiveness or increasing side effects. Thus, thorough immunogenicity evaluations are vital. Furthermore, the long-term impact of bEVs on the host is not fully understood, especially in chronic disease management where extended use could lead to unforeseen side effects, such as the horizontal transfer of antibiotic resistance genes or ecological disruption of the resident microbiome.249,250 Consequently, systematic and prolonged clinical investigations are necessary to assess safety and efficacy. Establishing universal standards for bEV isolation, purity assessment, and potency testing is therefore an urgent priority for the field to enable cross-study comparisons. Equally critical is the need for rigorous long-term toxicology studies in large animal models to evaluate immunogenic risks, biodistribution, and the potential for unintended ecological disruption within the host microbiome following chronic therapy.

Future Directions: Multi-Omics Integration and Clinical Validation

To investigate the significance of bEVs in age-related diseases, upcoming studies must concentrate on multi-omics integrated analysis. This method offers an in-depth comprehension of bEV roles. These vesicles contain various bioactive substances facilitating intercellular communication and regulating biological processes like metabolism and immune responses.251 Combining data from genomics (to identify source bacteria), transcriptomics (for RNA cargo), proteomics (for surface proteins), and metabolomics (for lipid/small molecule cargo) enhances our understanding of bEV mechanisms in diverse physiological contexts.225

Research indicates bEVs affect aging by modulating host endocrine and metabolic conditions.252 In neurodegenerative diseases, bEVs might reduce disease advancement by influencing neuronal oxidative stress and inflammatory reactions.253 By combining omics fields, it becomes possible to pinpoint significant biomarkers within bEVs, offering fresh perspectives for early detection and management. Moreover, leveraging artificial intelligence and machine learning to analyze extensive multi-omics datasets can improve insights, propelling personalized healthcare. By mapping correlations between bEVs and host biomarkers, novel therapeutic targets can be discovered.

Ultimately, a key area for future investigation involves initiating clinical trials. Numerous efforts have shown bEVs may be beneficial in addressing metabolic disorders,254 neurodegenerative illnesses,247 and immune-related diseases.255 However, clinical use remains restricted due to insufficient systematic data. Upcoming studies need to focus on creating extensive randomized controlled trials to assess the effectiveness of bEVs from various origins. For instance, studies involving bEVs for AD could confirm efficacy by monitoring alterations in cognitive abilities, inflammation indicators, and relevant biomarkers.29 Research must also prioritize assessing safety, investigating adverse effects, and establishing acceptable risk profiles for prolonged usage. Key questions remain regarding how multi-omics data can be effectively translated into actionable clinical algorithms for patient stratification and real-time monitoring. Furthermore, identifying the most viable and sensitive endpoints for early-phase clinical trials is crucial to demonstrate the efficacy of bEV therapies in slowing or reversing human aging processes, given the slow progression of age-related phenotypes.

Limitations and Future Perspectives

Despite the compelling evidence presented in this review, translating the “Dysbiosis-Permeability-Clearance” model into clinical practice faces significant hurdles. While we have synthesized a unified mechanism where aging compromises both intestinal barrier integrity and systemic clearance (specifically via the loss of Vsig4+ Kupffer cells), several critical limitations currently impede the validation and therapeutic exploitation of this axis. Addressing these challenges defines the immediate research agenda for the field.

Methodological Heterogeneity and the Lack of Bacterial-Specific Markers

A primary bottleneck, as highlighted in our discussion of conflicting reports (eg., the paradoxical pro-calcific effects of LGG-derived bEVs in CKD versus their benefits elsewhere211), is the absence of standardized protocols for distinguishing bEVs from host-derived EVs. Current isolation techniques (ultracentrifugation, size-exclusion chromatography) often yield preparations contaminated with host lipoproteins or exosomes, and the lack of universal bacterial surface markers complicates precise quantification.256 This methodological noise may partly explain the discrepancies in bEV abundance reported across different aging studies. Future efforts must prioritize the development of consensus guidelines specifically for bacterial vesicles, akin to MISEV257 but tailored to prokaryotic origins. Crucially, the discovery and validation of unique bacterial EV markers (distinct from common LPS or generic protein stains) are essential to accurately track bEV translocation from the gut to distant organs like the brain and liver without cross-contamination artifacts.

Inter-Individual Variability and the Context-Dependent Nature of bEVs

The dual nature of bEVs—acting as homeostatic mediators in youth but drivers of pathology in aging—is profoundly context-dependent, posing a challenge for “one-size-fits-all” therapies. As illustrated by the strain-specific entry routes of P. hominis (vagus nerve-dependent) versus E. coli (potentially vagus-independent) into the brain,83,103 the impact of bEVs varies not only by bacterial species but also by the host’s physiological state (eg., renal function, immune senescence, genetic background like LRRK2 mutations).103,180 The dramatic decline of protective taxa like Akkermansia muciniphila in the elderly further complicates the baseline bEV landscape, creating high inter-individual variability.258 Future research must move beyond murine models to embrace precision medicine frameworks. Large-scale, longitudinal human cohort studies are needed to map how bEV signatures evolve with age across diverse populations, accounting for variables such as diet, geography, and medication history. Only by stratifying patients based on their specific “bEV-clearance capacity” (eg., Kupffer cell function) and microbiome profile can we predict who will benefit from bEV-targeted interventions and who might be at risk of adverse effects.

The Gap Between Correlation and Causation in Human Aging

Perhaps, the most critical limitation is that while our proposed unified model is robust in preclinical systems, direct causal evidence in humans remains scarce. Most current human data are correlational, linking shifts in microbiota composition or circulating EV levels to diseases like AD, MASLD, and osteoporosis.259,260 We still lack definitive proof that circulating bEVs are the drivers of human tissue decline rather than bystanders of general dysbiosis and inflammation. For instance, while the loss of Vsig4+ Kupffer cells is well-documented in aged mice,180 its extent and functional consequence in aging humans remain to be quantified. Rigorous mechanistic studies are urgently required to bridge this gap. This includes the development of advanced non-invasive imaging to track bEV biodistribution in humans and the use of humanized mouse models or organ-on-a-chip systems that recapitulate the aged human immune environment. Establishing clear causal links is the prerequisite for validating bEVs as reliable therapeutic targets.

Concluding Remarks

In conclusion, while the path forward involves navigating complex methodological and biological challenges, the potential for studying bEVs in the context of aging and associated illnesses is extensive. Elucidating the precise role of bEVs in host pathophysiology not only offers fresh insights into the underlying mechanisms of aging but also paves the way for transformative clinical applications—from novel diagnostic biomarkers to next-generation therapeutics. As research progresses through interdisciplinary collaboration and rigorous standardization, we expect this field to yield more efficient approaches for preventing and managing age-related conditions. Ultimately, unlocking the secrets of bEVs holds the promise of enhancing the well-being and health span of our rapidly aging global population.

Data Sharing Statement

All the data contained in the article is available.

Acknowledgments

The authors thank Fuji Yang, Yifei Chen and Yanjin Wang for assistance with figure design.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Funding

This work was supported by the National Natural Science Foundation of China (Grant number 82272421, 82570746), Scientific Research Project of Jiangsu Commission of Health (K2024037), Open project of Jiangsu Provincial Key Laboratory of Medicine (Grant number JSKLM-T-2025-01).

Disclosure

The authors have no relevant financial or non-financial interests to disclose.

References

1. Qiu C, Kivipelto M, von Strauss E. Epidemiology of Alzheimer’s disease: occurrence, determinants, and strategies toward intervention. Dialogues Clin Neurosci. 2009;11(2):111–31. doi:10.31887/DCNS.2009.11.2/cqiu

2. Jankovic J. Parkinson’s disease: clinical features and diagnosis. J Neurol Neurosurg Psychiatry. 2008;79(4):368–376. doi:10.1136/jnnp.2007.131045

3. Tacke F, Horn P, Wong VW, et al. EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). J Hepatol. 2024. doi:10.1016/j.jhep.2024.04.031

4. Mattera M, Reginelli A, Bartollino S, et al. Imaging of metabolic bone disease. Acta Biomed. 2018;89(1–s):197–207. doi:10.23750/abm.v89i1-S.7023

5. Crimmins EM. Lifespan and Healthspan: past, Present, and Promise. Gerontologist. 2015;55(6):901–911. doi:10.1093/geront/gnv130

6. Strasser B, Ticinesi A. Intestinal microbiome in normal ageing, frailty and cognition decline. Curr Opin Clin Nutr Metab Care. 2023;26(1):8–16. doi:10.1097/mco.0000000000000878

7. Yang J, Hou L, Wang A, et al. Prebiotics improve frailty status in community-dwelling older individuals in a double-blind, randomized, controlled trial. J Clin Invest. 2024;134(18). doi:10.1172/jci176507

8. Sender R, Fuchs S, Milo R. Are We Really Vastly Outnumbered? Revisiting the Ratio of Bacterial to Host Cells in Humans. Cell. 2016;164(3):337–340. doi:10.1016/j.cell.2016.01.013

9. Lakshminarayanan B, Stanton C, O’Toole PW, Ross RP. Compositional dynamics of the human intestinal microbiota with aging: implications for health. J Nutr Health Aging. 2014;18(9):773–786. doi:10.1007/s12603-014-0549-6

10. López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. Hallmarks of aging: an expanding universe. Cell. 2023;186(2):243–278. doi:10.1016/j.cell.2022.11.001

11. Choi HH, Cho YS. Fecal Microbiota Transplantation: current Applications, Effectiveness, and Future Perspectives. Clin Endosc. 2016;49(3):257–265. doi:10.5946/ce.2015.117

12. Vaiserman AM, Koliada AK, Marotta F. Gut microbiota: a player in aging and a target for anti-aging intervention. Ageing Res Rev. 2017;35:36–45. doi:10.1016/j.arr.2017.01.001

13. Xie J, Li Q, Haesebrouck F, Van Hoecke L, Vandenbroucke RE. The tremendous biomedical potential of bacterial extracellular vesicles. Trends Biotechnol. 2022;40(10):1173–1194. doi:10.1016/j.tibtech.2022.03.005

14. Xie J, Haesebrouck F, Van Hoecke L, Vandenbroucke RE. Bacterial extracellular vesicles: an emerging avenue to tackle diseases. Trends Microbiol. 2023;31(12):1206–1224. doi:10.1016/j.tim.2023.05.010

15. Wei J, Li Z, Fan Y, et al. Lactobacillus rhamnosus GG aggravates vascular calcification in chronic kidney disease: a potential role for extracellular vesicles. Life Sci. 2023;331:122001. doi:10.1016/j.lfs.2023.122001

16. Peng Y, Zhuang Y, Liu Y, et al. Bioinspired gradient scaffolds for osteochondral tissue engineering. Exploration. 2023;3(4):20210043. doi:10.1002/exp.20210043

17. Lin Z, Chen Z, Chen Y, et al. Hydrogenated silicene nanosheet functionalized scaffold enables immuno-bone remodeling. Exploration. 2023;3(4):20220149. doi:10.1002/exp.20220149

18. Wang W, Gao R, Zhang L, et al. Fuel-propelled nanomotors for acute kidney injury applications. Pharm Sci Adv. 2024;2:100044. doi:10.1016/j.pscia.2024.100044

19. Tang M, Ni J, Yue Z, et al. Polyoxometalate-Nanozyme-Integrated Nanomotors (POMotors) for Self-Propulsion-Promoted Synergistic Photothermal-Catalytic Tumor Therapy. Angew Chem Int Ed Engl. 2023:e202315031. doi:10.1002/anie.202315031

20. An Q, Xiang SR, Zou YQ. Recent progresses in combination cancer therapy using cyanine dye-based nanoparticles. Pharm Sci Adv. 2024;2:100040. doi:10.1016/j.pscia.2024.100040

21. Li X, Li J, Wang W, Yue Z, Sun T. Thermo-Oxidative Coupling Amplification Effect Unleashed by Tungsten-Based Polyoxometalate Nanoreactors Enables Synergistic Hyperthermia-Chemodynamic Therapy. Part Part Syst Charact. 2026;43(1):e00192. doi:10.1002/ppsc.202500192

22. Harati J, Wang PY. Leveraging integrative technologies to translate stem cell and cell reprogramming potential for neurodegenerative diseases. Eur Cell Mater. 2024;48:151–155. doi:10.22203/eCM.v048a09

23. Zhang DD, Wang PY. Intestinal stem cells (ISCs): iSCs-derived organoids for disease modeling and therapy. Eur Cell Mater. 2025;50:84–86. doi:10.22203/eCM.v050a05

24. Rinott E, Meir AY, Tsaban G, et al. The effects of the Green-Mediterranean diet on cardiometabolic health are linked to gut microbiome modifications: a randomized controlled trial. Genome Med. 2022;14(1):29. doi:10.1186/s13073-022-01015-z

25. Frioux C, Ansorge R, Özkurt E, et al. Enterosignatures define common bacterial guilds in the human gut microbiome. Cell Host Microbe. 2023;31(7):1111–1125.e6. doi:10.1016/j.chom.2023.05.024

26. Lin L, Tang R, Liu Y, Li Z, Li H, Yang H. The brain-protective mechanism of fecal microbiota transplantation from young donor mice in the natural aging process via exosome, gut microbiota, and metabolomics analyses. Pharmacol Res. 2024;207:107323. doi:10.1016/j.phrs.2024.107323

27. Odamaki T, Kato K, Sugahara H, et al. Age-related changes in gut microbiota composition from newborn to centenarian: a cross-sectional study. BMC Microbiol. 2016;16:90. doi:10.1186/s12866-016-0708-5

28. de Vos WM, Tilg H, Van Hul M, Cani PD. Gut microbiome and health: mechanistic insights. Gut. 2022;71(5):1020–1032. doi:10.1136/gutjnl-2021-326789

29. Cuesta CM, Guerri C, Ureña J, Pascual M. Role of Microbiota-Derived Extracellular Vesicles in Gut-Brain Communication. Int J Mol Sci. 2021;22(8). doi:10.3390/ijms22084235

30. Chen L, Wilson JE, Koenigsknecht MJ, et al. NLRP12 attenuates colon inflammation by maintaining colonic microbial diversity and promoting protective commensal bacterial growth. Nat Immunol. 2017;18(5):541–551. doi:10.1038/ni.3690

31. Jang SE, Lim SM, Jeong JJ, et al. Gastrointestinal inflammation by gut microbiota disturbance induces memory impairment in mice. Mucosal Immunol. 2018;11(2):369–379. doi:10.1038/mi.2017.49

32. Biagi E, Franceschi C, Rampelli S, et al. Gut Microbiota and Extreme Longevity. Curr Biol. 2016;26(11):1480–1485. doi:10.1016/j.cub.2016.04.016

33. Pang S, Chen X, Lu Z, et al. Longevity of centenarians is reflected by the gut microbiome with youth-associated signatures. Nat Aging. 2023;3(4):436–449. doi:10.1038/s43587-023-00389-y

34. Vasto S, Rizzo C, Caruso C. Centenarians and diet: what they eat in the Western part of Sicily. Immun Ageing. 2012;9(1):10. doi:10.1186/1742-4933-9-10

35. Rampelli S, candela M, Turroni S, et al. Functional metagenomic profiling of intestinal microbiome in extreme ageing. Aging. 2013;5(12):902–912. doi:10.18632/aging.100623

36. Jackson MA, Jackson M, Jeffery IB, et al. Signatures of early frailty in the gut microbiota. Genome Med. 2016;8(1):8. doi:10.1186/s13073-016-0262-7

37. Garron ML, Henrissat B. The continuing expansion of CAZymes and their families. Curr Opin Chem Biol. 2019;53:82–87. doi:10.1016/j.cbpa.2019.08.004

38. Maslowski KM, Vieira AT, Ng A, et al. Regulation of inflammatory responses by gut microbiota and chemoattractant receptor GPR43. Nature. 2009;461(7268):1282–1286. doi:10.1038/nature08530

39. Martin-Gallausiaux C, Marinelli L, Blottière HM, Larraufie P, Lapaque N. SCFA: mechanisms and functional importance in the gut. Proc Nutr Soc. 2021;80(1):37–49. doi:10.1017/s0029665120006916

40. Sonowal R, Swimm A, Sahoo A, et al. Indoles from commensal bacteria extend healthspan. Proc Natl Acad Sci U S A. 2017;114(36):E7506–E7515. doi:10.1073/pnas.1706464114

41. Natividad JM, Agus A, Planchais J, et al. Impaired Aryl Hydrocarbon Receptor Ligand Production by the Gut Microbiota Is a Key Factor in Metabolic Syndrome. Cell Metab. 2018;28(5):737–749.e4. doi:10.1016/j.cmet.2018.07.001

42. Mallmann NH, Lima ES, Lalwani P. Dysregulation of Tryptophan Catabolism in Metabolic Syndrome. Metab Syndr Relat Disord. 2018;16(3):135–142. doi:10.1089/met.2017.0097

43. Moyer BJ, Rojas IY, Kerley-Hamilton JS, et al. Inhibition of the aryl hydrocarbon receptor prevents Western diet-induced obesity. Model for AHR activation by kynurenine via oxidized-LDL, TLR2/4, TGFβ, and IDO1. Toxicol Appl Pharmacol. 2016;300:13–24. doi:10.1016/j.taap.2016.03.011

44. Sorgdrager FJH, Naudé PJW, Kema IP, Nollen EA, Deyn PP. Tryptophan Metabolism in Inflammaging: from Biomarker to Therapeutic Target. Front Immunol. 2019;10:2565. doi:10.3389/fimmu.2019.02565

45. Atarashi K, Tanoue T, Oshima K, et al. Treg induction by a rationally selected mixture of Clostridia strains from the human microbiota. Nature. 2013;500(7461):232–236. doi:10.1038/nature12331

46. Atarashi K, Tanoue T, Shima T, et al. Induction of colonic regulatory T cells by indigenous Clostridium species. Science. 2011;331(6015):337–341. doi:10.1126/science.1198469

47. Shapiro H, Thaiss CA, Levy M, Elinav E. The cross talk between microbiota and the immune system: metabolites take center stage. Curr Opin Immunol. 2014;30:54–62. doi:10.1016/j.coi.2014.07.003

48. Qu S, Yu Z, Zhou Y, et al. Gut microbiota modulates neurotransmitter and gut-brain signaling. Microbiol Res. 2024;287:127858. doi:10.1016/j.micres.2024.127858

49. Kalluri R, LeBleu VS. The biology, function, and biomedical applications of exosomes. Science. 2020;367(6478). doi:10.1126/science.aau6977

50. Schorey JS, Cheng Y, Singh PP, Smith VL. Exosomes and other extracellular vesicles in host-pathogen interactions. EMBO Rep. 2015;16(1):24–43. doi:10.15252/embr.201439363

51. Deatherage BL, Cookson BT. Membrane vesicle release in bacteria, eukaryotes, and archaea: a conserved yet underappreciated aspect of microbial life. Infect Immun. 2012;80(6):1948–1957. doi:10.1128/iai.06014-11

52. Robinson DG, Ding Y, Jiang L. Unconventional protein secretion in plants: a critical assessment. Protoplasma. 2016;253(1):31–43. doi:10.1007/s00709-015-0887-1

53. van Niel G, D’Angelo G, Raposo G. Shedding light on the cell biology of extracellular vesicles. Nat Rev Mol Cell Biol. 2018;19(4):213–228. doi:10.1038/nrm.2017.125

54. Harding C, Heuser J, Stahl P. Endocytosis and intracellular processing of transferrin and colloidal gold-transferrin in rat reticulocytes: demonstration of a pathway for receptor shedding. Eur J Cell Biol. 1984;35(2):256–263.

55. Pan BT, Teng K, Wu C, Adam M, Johnstone RM. Electron microscopic evidence for externalization of the transferrin receptor in vesicular form in sheep reticulocytes. J Cell Biol. 1985;101(3):942–948. doi:10.1083/jcb.101.3.942

56. Tricarico C, Clancy J, D’Souza-Schorey C. Biology and biogenesis of shed microvesicles. Small GTPases. 2017;8(4):220–232. doi:10.1080/21541248.2016.1215283

57. Welsh JA, Goberdhan DCI, O’Driscoll L, et al. Minimal information for studies of extracellular vesicles (MISEV2023): from basic to advanced approaches. J Extracell Vesicles. 2024;13(2):e12404. doi:10.1002/jev2.12404

58. Xiao N, Li Q, Liang G, et al. Regulatory Roles of Exosomes in Aging and Aging-Related Diseases. Biogerontology. 2025;26(2):61. doi:10.1007/s10522-025-10200-7

59. Colombo M, Raposo G, Théry C. Biogenesis, secretion, and intercellular interactions of exosomes and other extracellular vesicles. Annu Rev Cell Dev Biol. 2014;30:255–289. doi:10.1146/annurev-cellbio-101512-122326

60. Lo Cicero A, Stahl PD, Raposo G. Extracellular vesicles shuffling intercellular messages: for good or for bad. Curr Opin Cell Biol. 2015;35:69–77. doi:10.1016/j.ceb.2015.04.013

61. Yáñez-Mó M, Siljander PR, Andreu Z, et al. Biological properties of extracellular vesicles and their physiological functions. J Extracell Vesicles. 2015;4:27066. doi:10.3402/jev.v4.27066

62. Zhou M, Li YJ, Tang YC, et al. Apoptotic bodies for advanced drug delivery and therapy. J Control Release. 2022;351:394–406. doi:10.1016/j.jconrel.2022.09.045

63. Gran C, Norén S, Antovic JP. Extracellular Vesicles Drive Coagulopathy Across Hematologic Cancers. Semin Thromb Hemost. 2026. doi:10.1055/a-2799-0557

64. Zhang S, Liao X, Chen S, et al. Large Oncosome-Loaded VAPA Promotes Bone-Tropic Metastasis of Hepatocellular Carcinoma Via Formation of Osteoclastic Pre-Metastatic Niche. Adv Sci. 2022;9(31):e2201974. doi:10.1002/advs.202201974

65. Minciacchi VR, Spinelli C, Reis-Sobreiro M, et al. MYC Mediates Large Oncosome-Induced Fibroblast Reprogramming in Prostate Cancer. Cancer Res. 2017;77(9):2306–2317. doi:10.1158/0008-5472.Can-16-2942

66. Schwechheimer C, Kuehn MJ. Outer-membrane vesicles from Gram-negative bacteria: biogenesis and functions. Nat Rev Microbiol. 2015;13(10):605–619. doi:10.1038/nrmicro3525

67. Kulp A, Kuehn MJ. Biological functions and biogenesis of secreted bacterial outer membrane vesicles. Annu Rev Microbiol. 2010;64:163–184. doi:10.1146/annurev.micro.091208.073413

68. Briaud P, Carroll RK. Extracellular Vesicle Biogenesis and Functions in Gram-Positive Bacteria. Infect Immun. 2020;88(12). doi:10.1128/iai.00433-20

69. Mashburn-Warren LM, Whiteley M. Special delivery: vesicle trafficking in prokaryotes. Mol Microbiol. 2006;61(4):839–846. doi:10.1111/j.1365-2958.2006.05272.x

70. Kadurugamuwa JL, Beveridge TJ. Natural release of virulence factors in membrane vesicles by Pseudomonas aeruginosa and the effect of aminoglycoside antibiotics on their release. J Antimicrob Chemother. 1997;40(5):615–621. doi:10.1093/jac/40.5.615

71. Li Z, Clarke AJ, Beveridge TJ. Gram-negative bacteria produce membrane vesicles which are capable of killing other bacteria. J Bacteriol. 1998;180(20):5478–5483. doi:10.1128/jb.180.20.5478-5483.1998

72. Turnbull L, Toyofuku M, Hynen AL, et al. Explosive cell lysis as a mechanism for the biogenesis of bacterial membrane vesicles and biofilms. Nat Commun. 2016;7:11220. doi:10.1038/ncomms11220

73. Lee EY, Choi DY, Kim DK, et al. Gram-positive bacteria produce membrane vesicles: proteomics-based characterization of Staphylococcus aureus-derived membrane vesicles. Proteomics. 2009;9(24):5425–5436. doi:10.1002/pmic.200900338

74. Rivera J, Cordero RJ, Nakouzi AS, Frases S, Nicola A, Casadevall A. Bacillus anthracis produces membrane-derived vesicles containing biologically active toxins. Proc Natl Acad Sci U S A. 2010;107(44):19002–19007. doi:10.1073/pnas.1008843107

75. Brown L, Wolf JM, Prados-Rosales R, Casadevall A. Through the wall: extracellular vesicles in Gram-positive bacteria, mycobacteria and fungi. Nat Rev Microbiol. 2015;13(10):620–630. doi:10.1038/nrmicro3480

76. Manning AJ, Kuehn MJ. Contribution of bacterial outer membrane vesicles to innate bacterial defense. BMC Microbiol. 2011;11:258. doi:10.1186/1471-2180-11-258

77. Lee JH, Choi CW, Lee T, Kim SI, Lee JC, Shin JH. Transcription factor σB plays an important role in the production of extracellular membrane-derived vesicles in Listeria monocytogenes. PLoS One. 2013;8(8):e73196. doi:10.1371/journal.pone.0073196

78. Liao YT, Kuo SC, Chiang MH, et al. Acinetobacter baumannii Extracellular OXA-58 Is Primarily and Selectively Released via Outer Membrane Vesicles after Sec-Dependent Periplasmic Translocation. Antimicrob Agents Chemother. 2015;59(12):7346–7354. doi:10.1128/aac.01343-15

79. Chatterjee S, Mondal A, Mitra S, Basu S. Acinetobacter baumannii transfers the blaNDM-1 gene via outer membrane vesicles. J Antimicrob Chemother. 2017;72(8):2201–2207. doi:10.1093/jac/dkx131

80. O’Donoghue EJ, Krachler AM. Mechanisms of outer membrane vesicle entry into host cells. Cell Microbiol. 2016;18(11):1508–1517. doi:10.1111/cmi.12655

81. O’Donoghue EJ, Sirisaengtaksin N, Browning DF, et al. Lipopolysaccharide structure impacts the entry kinetics of bacterial outer membrane vesicles into host cells. PLoS Pathog. 2017;13(11):e1006760. doi:10.1371/journal.ppat.1006760

82. Bittel M, Reichert P, Sarfati I, et al. Visualizing transfer of microbial biomolecules by outer membrane vesicles in microbe-host-communication in vivo. J Extracell Vesicles. 2021;10(12):e12159. doi:10.1002/jev2.12159

83. Lee KE, Kim JK, Han SK, et al. The extracellular vesicle of gut microbial Paenalcaligenes hominis is a risk factor for vagus nerve-mediated cognitive impairment. Microbiome. 2020;8(1):107. doi:10.1186/s40168-020-00881-2

84. Phillips W, Willms E, Hill AF. Understanding extracellular vesicle and nanoparticle heterogeneity: novel methods and considerations. Proteomics. 2021;21(13–14):e2000118. doi:10.1002/pmic.202000118

85. van de Wakker SI, Meijers FM, Sluijter JPG, Vader P. Extracellular Vesicle Heterogeneity and Its Impact for Regenerative Medicine Applications. Pharmacol Rev. 2023;75(5):1043–1061. doi:10.1124/pharmrev.123.000841

86. Zhai C, Xu J, Yang Y, et al. Heterogeneous Analysis of Extracellular Vesicles for Osteosarcoma Diagnosis. Anal Chem. 2024. doi:10.1021/acs.analchem.4c00941

87. Gratie MI, Manna OM, Accomando S, Tomasello G, Cappello F, Fucarino A. Hsp60-Bearing Exosomes in Helicobacter pylori-Induced Gastric Tumorigenesis: a Pathomorphological and Therapeutical Overview. Cells. 2025;14(21). doi:10.3390/cells14211652

88. Go GE, Kang M, Hwang BK, et al. Super-resolution mapping reveals NAD⁺-delivering probiotic extracellular vesicles as nanotherapeutics for organelle protection and inflammation control. J Nanobiotechnology. 2026. doi:10.1186/s12951-026-04090-1

89. Tartaglia NR, Nicolas A, Rodovalho VR, et al. Extracellular vesicles produced by human and animal Staphylococcus aureus strains share a highly conserved core proteome. Sci Rep. 2020;10(1):8467. doi:10.1038/s41598-020-64952-y

90. Qin M, Xing L, Wen S, et al. Heterogeneity of extracellular vesicles in porcine myoblasts regulates adipocyte differentiation. Sci Rep. 2024;14(1):26077. doi:10.1038/s41598-024-77110-5

91. Silva TF, Hutchins E, Zhao W, et al. Extracellular Vesicles heterogeneity through the lens of multiomics. bioRxiv. 2024. doi:10.1101/2024.08.14.607999

92. Silva TF, Hutchins E, Zhao W, et al. Extracellular vesicle heterogeneity through the lens of multiomics. Cell Rep Med. 2025:102161. doi:10.1016/j.xcrm.2025.102161

93. Roy Chowdhury M, Massé E. New Perspectives on Crosstalks Between Bacterial Regulatory RNAs from Outer Membrane Vesicles and Eukaryotic Cells. Methods Mol Biol. 2024;2741:183–194. doi:10.1007/978-1-0716-3565-0_10

94. Marzan AL, Stewart SE. Elucidating the Role of Extracellular Vesicles in Pancreatic Cancer. Cancers. 2021;13(22). doi:10.3390/cancers13225669

95. Bi Y, Yang Y, Gan L, et al. Interactions between extracellular vesicles and hormones. Anim Biosci. 2025. doi:10.5713/ab.25.0249

96. Zhang S, Li J, Hu X, et al. Brain-derived extracellular vesicles: a promising avenue for Parkinson’s disease pathogenesis, diagnosis, and treatment. Neural Regen Res. 2025. doi:10.4103/nrr.Nrr-d-24-01262

97. Luz B, Nicolas A, Chabelskaya S, et al. Environmental Plasticity of the RNA Content of Staphylococcus aureus Extracellular Vesicles. Front Microbiol. 2021;12:634226. doi:10.3389/fmicb.2021.634226

98. Barbieri G, Maurizi L, Zini M, et al. Biophysical Features of Outer Membrane Vesicles (OMVs) from Pathogenic Escherichia coli: methodological Implications for Reproducible OMV Characterization. Antibiotics. 2026;15(2). doi:10.3390/antibiotics15020117

99. Lee S, Jo E, Lee EY, Choi D. Proteomics of extracellular vesicles derived from Lactobacillus: implications in gut immune homeostasis and therapeutic potential. Biomed Pharmacother. 2026;194:118955. doi:10.1016/j.biopha.2025.118955

100. Das S, Das S, Gupta S, Khan A, Tarafdar PK, Mallick AI. Bacterial Extracellular Vesicles (BEVs) Derived From Lactococcus lactis as Multimodal Drug Delivery Platforms. Int J Biomater. 2025;2025:3141223. doi:10.1155/ijbm/3141223

101. Park AM, Tsunoda I. Helicobacter pylori infection in the stomach induces neuroinflammation: the potential roles of bacterial outer membrane vesicles in an animal model of Alzheimer’s disease. Inflamm Regen. 2022;42(1):39. doi:10.1186/s41232-022-00224-8

102. Wei S, Peng W, Mai Y, et al. Outer membrane vesicles enhance tau phosphorylation and contribute to cognitive impairment. J Cell Physiol. 2020;235(5):4843–4855. doi:10.1002/jcp.29362

103. Liang D, Liu H, Jin R, et al. Escherichia coli triggers α-synuclein pathology in the LRRK2 transgenic mouse model of PD. Gut Microbes. 2023;15(2):2276296. doi:10.1080/19490976.2023.2276296

104. Sampson TR, Challis C, Jain N, et al. A gut bacterial amyloid promotes α-synuclein aggregation and motor impairment in mice. Elife. 2020;9. doi:10.7554/eLife.53111

105. Chen SG, Stribinskis V, Rane MJ, et al. Exposure to the Functional Bacterial Amyloid Protein Curli Enhances Alpha-Synuclein Aggregation in Aged Fischer 344 Rats and Caenorhabditis elegans. Sci Rep. 2016;6:34477. doi:10.1038/srep34477

106. Kim S, Kwon SH, Kam TI, et al. Transneuronal Propagation of Pathologic α-Synuclein from the Gut to the Brain Models Parkinson’s Disease. Neuron. 2019;103(4):627–641.e7. doi:10.1016/j.neuron.2019.05.035

107. Fizanne L, Villard A, Benabbou N, et al. Faeces-derived extracellular vesicles participate in the onset of barrier dysfunction leading to liver diseases. J Extracell Vesicles. 2023;12(2):e12303. doi:10.1002/jev2.12303

108. Luo Z, Ji Y, Zhang D, et al. Microbial DNA enrichment promotes liver steatosis and fibrosis in the course of non-alcoholic steatohepatitis. Acta Physiol. 2022;235(3):e13827. doi:10.1111/apha.13827

109. Choi Y, Kwon Y, Kim DK, et al. Gut microbe-derived extracellular vesicles induce insulin resistance, thereby impairing glucose metabolism in skeletal muscle. Sci Rep. 2015;5:15878. doi:10.1038/srep15878

110. Shi J, Ma D, Gao S, et al. Probiotic Escherichia coli Nissle 1917-derived outer membrane vesicles modulate the intestinal microbiome and host gut-liver metabolome in obese and diabetic mice. Front Microbiol. 2023;14:1219763. doi:10.3389/fmicb.2023.1219763

111. Wang N, Zhou F, Chen C, et al. Role of Outer Membrane Vesicles From Helicobacter pylori in Atherosclerosis. Front Cell Dev Biol. 2021;9:673993. doi:10.3389/fcell.2021.673993

112. Peek CT, Ford CA, Eichelberger KR, et al. Intestinal Inflammation Promotes MDL-1+ Osteoclast Precursor Expansion to Trigger Osteoclastogenesis and Bone Loss. Cell Mol Gastroenterol Hepatol. 2022;14(4):731–750. doi:10.1016/j.jcmgh.2022.07.002

113. Liu JH, Chen CY, Liu ZZ, et al. Extracellular Vesicles from Child Gut Microbiota Enter into Bone to Preserve Bone Mass and Strength. Adv Sci. 2021;8(9):2004831. doi:10.1002/advs.202004831

114. Cryan JF, O’Riordan KJ, Cowan CSM, et al. The Microbiota-Gut-Brain Axis. Physiol Rev. 2019;99(4):1877–2013. doi:10.1152/physrev.00018.2018

115. Morais LH, Schreiber HL, Mazmanian SK. The gut microbiota-brain axis in behaviour and brain disorders. Nat Rev Microbiol. 2021;19(4):241–255. doi:10.1038/s41579-020-00460-0

116. Sampson TR, Debelius JW, Thron T, et al. Gut Microbiota Regulate Motor Deficits and Neuroinflammation in a Model of Parkinson’s Disease. Cell. 2016;167(6):1469–1480.e12. doi:10.1016/j.cell.2016.11.018

117. Masters CL, Bateman R, Blennow K, Rowe CC, Sperling RA, Cummings JL. Alzheimer’s disease. Nat Rev Dis Primers. 2015;1:15056. doi:10.1038/nrdp.2015.56

118. Knopman DS, Amieva H, Petersen RC, et al. Alzheimer disease. Nat Rev Dis Primers. 2021;7(1):33. doi:10.1038/s41572-021-00269-y

119. Graff-Radford J, Yong KXX, Apostolova LG, et al. New insights into atypical Alzheimer’s disease in the era of biomarkers. Lancet Neurol. 2021;20(3):222–234. doi:10.1016/s1474-4422(20)30440-3

120. Liu X, Shen L, Wan M, Xie H, Wang Z. Peripheral extracellular vesicles in neurodegeneration: pathogenic influencers and therapeutic vehicles. J Nanobiotechnology. 2024;22(1):170. doi:10.1186/s12951-024-02428-1

121. Violi F, Cammisotto V, Bartimoccia S, Pignatelli P, Carnevale R, Nocella C. Gut-derived low-grade endotoxaemia, atherothrombosis and cardiovascular disease. Nat Rev Cardiol. 2023;20(1):24–37. doi:10.1038/s41569-022-00737-2

122. Baldwin AS. The NF-kappa B and I kappa B proteins: new discoveries and insights. Annu Rev Immunol. 1996;14:649–683. doi:10.1146/annurev.immunol.14.1.649

123. Jiang, P, Dai, Y, Hou, Y et al Artificial intelligence-assisted design, synthesis and analysis of smart biomaterials. BMEMat. 2025;3(2):e70004. doi:10.1002/bmm2.70004

124. Guo, S, Tang, H, Zhang, Y et al Recent advances in biomimetic aggregation-induced emission photosensitizers for photodynamic therapy and immunotherapy. BMEMat. 2024;2(3):e12076. doi:10.1002/bmm2.12076

125. Parajuli B, Sonobe Y, Kawanokuchi J, et al. GM-CSF increases LPS-induced production of proinflammatory mediators via upregulation of TLR4 and CD14 in murine microglia. J Neuroinflammation. 2012;9:268. doi:10.1186/1742-2094-9-268

126. Shin J, Noh JR, Choe D, et al. Ageing and rejuvenation models reveal changes in key microbial communities associated with healthy ageing. Microbiome. 2021;9(1):240. doi:10.1186/s40168-021-01189-5

127. Cai Z, Zhao Y, Zhao B. Roles of glycogen synthase kinase 3 in Alzheimer’s disease. Curr Alzheimer Res. 2012;9(7):864–879. doi:10.2174/156720512802455386

128. Calsolaro V, Edison P. Neuroinflammation in Alzheimer’s disease: current evidence and future directions. Alzheimers Dement. 2016;12(6):719–732. doi:10.1016/j.jalz.2016.02.010

129. Scheltens P, De Strooper B, Kivipelto M, et al. Alzheimer’s disease. Lancet. 2021;397(10284):1577–1590. doi:10.1016/s0140-6736(20)32205-4

130. Zheng X, Cao Z, Wang M, et al. Betulinic Acid Reduces Intestinal Inflammation and Enhances Intestinal Tight Junctions by Modulating the PPAR-γ/NF-κB Signaling Pathway in Intestinal Cells and Organoids. Nutrients. 2025;17(13). doi:10.3390/nu17132052

131. Wu CJ, Feng X, Lu M, Morimura S, Udey MC. Matriptase-mediated cleavage of EpCAM destabilizes claudins and dysregulates intestinal epithelial homeostasis. J Clin Invest. 2017;127(2):623–634. doi:10.1172/jci88428

132. Monaco A, Ovryn B, Axis J, Amsler K. The Epithelial Cell Leak Pathway. Int J Mol Sci. 2021;22(14). doi:10.3390/ijms22147677

133. Chelakkot C, Choi Y, Kim DK, et al. Akkermansia muciniphila-derived extracellular vesicles influence gut permeability through the regulation of tight junctions. Exp Mol Med. 2018;50(2):e450. doi:10.1038/emm.2017.282

134. Ashrafian F, Behrouzi A, Shahriary A, et al. Comparative study of effect of Akkermansia muciniphila and its extracellular vesicles on toll-like receptors and tight junction. Gastroenterol Hepatol Bed Bench. 2019;12(2):163–168.

135. Ashrafian F, Shahriary A, Behrouzi A, et al. Akkermansia muciniphila-Derived Extracellular Vesicles as a Mucosal Delivery Vector for Amelioration of Obesity in Mice. Front Microbiol. 2019;10:2155. doi:10.3389/fmicb.2019.02155

136. Matt SM, Allen JM, Lawson MA, Mailing LJ, Woods JA, Johnson RW. Butyrate and Dietary Soluble Fiber Improve Neuroinflammation Associated With Aging in Mice. Front Immunol. 2018;9:1832. doi:10.3389/fimmu.2018.01832

137. Braniste V, Al-Asmakh M, Kowal C, et al. The gut microbiota influences blood-brain barrier permeability in mice. Sci Transl Med. 2014;6(263):263ra158. doi:10.1126/scitranslmed.3009759

138. Lee J, d’Aigle J, Atadja L, et al. Gut Microbiota-Derived Short-Chain Fatty Acids Promote Poststroke Recovery in Aged Mice. Circ Res. 2020;127(4):453–465. doi:10.1161/circresaha.119.316448

139. Singh S, Murad MH, Fumery M, et al. Comparative efficacy and safety of biologic therapies for moderate-to-severe Crohn’s disease: a systematic review and network meta-analysis. Lancet Gastroenterol Hepatol. 2021;6(12):1002–1014. doi:10.1016/s2468-1253(21)00312-5

140. Kowalski K, Mulak A. Brain-Gut-Microbiota Axis in Alzheimer’s Disease. J Neurogastroenterol Motil. 2019;25(1):48–60. doi:10.5056/jnm18087

141. Tadin hadjina I, Zivkovic PM, Matetic A, et al. Impaired neurocognitive and psychomotor performance in patients with inflammatory bowel disease. Sci Rep. 2019;9(1):13740. doi:10.1038/s41598-019-50192-2

142. Fan W, Zhang S, Hu J, et al. Aberrant Brain Function in Active-Stage Ulcerative Colitis Patients: a Resting-State Functional MRI Study. Front Hum Neurosci. 2019;13:107. doi:10.3389/fnhum.2019.00107

143. Seo MK, Park EJ, Ko SY, Choi EW, Kim S. Therapeutic effects of kefir grain Lactobacillus-derived extracellular vesicles in mice with 2,4,6-trinitrobenzene sulfonic acid-induced inflammatory bowel disease. J Dairy Sci. 2018;101(10):8662–8671. doi:10.3168/jds.2018-15014

144. Tysnes OB, Storstein A. Epidemiology of Parkinson’s disease. J Neural Transm. 2017;124(8):901–905. doi:10.1007/s00702-017-1686-y

145. Kumar S, Goyal L, Singh S. Tremor and Rigidity in Patients with Parkinson’s Disease: emphasis on Epidemiology, Pathophysiology and Contributing Factors. CNS Neurol Disord Drug Targets. 2022;21(7):596–609. doi:10.2174/1871527320666211006142100

146. Poewe W, Seppi K, Tanner CM, et al. Parkinson disease. Nat Rev Dis Primers. 2017;3:17013. doi:10.1038/nrdp.2017.13

147. Winham SJ, Biernacka JM. Gene-environment interactions in genome-wide association studies: current approaches and new directions. J Child Psychol Psychiatr. 2013;54(10):1120–1134. doi:10.1111/jcpp.12114

148. Simon DK, Tanner CM, Brundin P. Parkinson Disease Epidemiology, Pathology, Genetics, and Pathophysiology. Clin Geriatr Med. 2020;36(1):1–12. doi:10.1016/j.cger.2019.08.002

149. Ascherio A, Schwarzschild MA. The epidemiology of Parkinson’s disease: risk factors and prevention. Lancet Neurol. 2016;15(12):1257–1272. doi:10.1016/s1474-4422(16)30230-7

150. Amatya SB, Salmi S, Kainulainen V, Karihtala P, Reunanen J. Bacterial Extracellular Vesicles in Gastrointestinal Tract Cancer: an Unexplored Territory. Cancers. 2021;13(21). doi:10.3390/cancers13215450

151. Villard A, Boursier J, Andriantsitohaina R. Bacterial and eukaryotic extracellular vesicles and nonalcoholic fatty liver disease: new players in the gut-liver axis? Am J Physiol Gastrointest Liver Physiol. 2021;320(4):G485–G495. doi:10.1152/ajpgi.00362.2020

152. Villard A, Boursier J, Andriantsitohaina R. Microbiota-derived extracellular vesicles and metabolic syndrome. Acta Physiol. 2021;231(4):e13600. doi:10.1111/apha.13600

153. de Guilhem de Lataillade A, Verchere J, Oullier T, et al. LRRK2 is reduced in Parkinson’s disease gut. Acta Neuropathol. 2021;142(3):601–603. doi:10.1007/s00401-021-02334-y

154. Barnhart MM, Chapman MR. Curli biogenesis and function. Annu Rev Microbiol. 2006;60:131–147. doi:10.1146/annurev.micro.60.080805.142106

155. Wang XJ, Ma MM, Zhou LB, et al. Autonomic ganglionic injection of α-synuclein fibrils as a model of pure autonomic failure α-synucleinopathy. Nat Commun. 2020;11(1):934. doi:10.1038/s41467-019-14189-9

156. Chen H, Zhou M, Zeng Y, et al. Biomimetic Lipopolysaccharide-Free Bacterial Outer Membrane-Functionalized Nanoparticles for Brain-Targeted Drug Delivery. Adv Sci. 2022;9(16):e2105854. doi:10.1002/advs.202105854

157. Noboa-Velástegui JA, Valdez-Vega RI, Castro-Albarran J, et al. Expression of Serum and Exosomal microRNA-34a in Subjects with Increased Fat Mass. Int J Mol Sci. 2025;27(1). doi:10.3390/ijms27010270

158. Kobayashi Y, Takahashi Y, Otera H, Higuchi Y, Takakura Y. Development of a simple labeling method using fluorescent protein fusion proteins targeting the membrane lipids of small extracellular vesicles. J Pharm Biomed Anal. 2026;272:117356. doi:10.1016/j.jpba.2026.117356

159. Wijerathna-Yapa A, Aubert D, Kulasinghe A. Integrating mass spectrometry-based multi-omic signatures of extracellular vesicles: from discovery to clinical translation. Clin Transl Immunology. 2026;15(1):e70078. doi:10.1002/cti2.70078

160. Zhang J, Zhi Y, Lu Y, Ma F. Outer membrane vesicles as a versatile nanoplatform for advanced vaccine development and immunotherapy. Front Immunol. 2026;17:1707391. doi:10.3389/fimmu.2026.1707391

161. Poudel S, Nelson DL, Yen JH, et al. Intermethod Characterization of Commercially Available Extracellular Vesicles as Reference Materials. Biomolecules. 2025;16(1). doi:10.3390/biom16010066

162. Gao J, Li Y, Zhang S, et al. Structural and Functional Characterization of EXPO-Derived Extracellular Vesicles in Plants. Adv Sci. 2026:e06163. doi:10.1002/advs.202506163

163. Yang J, Chang S, Li L, et al. Structural Insights into Cell Wall-Related Vesicle Secretion with Different Mechanisms. Plants. 2026;15(4). doi:10.3390/plants15040660

164. Younossi ZM, Golabi P, Price JK, et al. The global epidemiology of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis among patients with type 2 diabetes. Clin Gastroenterol Hepatol. 2024. doi:10.1016/j.cgh.2024.03.006

165. Younossi ZM, Kalligeros M, Henry L. Epidemiology of Metabolic Dysfunction Associated Steatotic Liver Disease. Clin Mol Hepatol. 2024. doi:10.3350/cmh.2024.0431

166. Cotter TG, Rinella M. Nonalcoholic Fatty Liver Disease 2020: the State of the Disease. Gastroenterology. 2020;158(7):1851–1864. doi:10.1053/j.gastro.2020.01.052

167. Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016;64(1):73–84. doi:10.1002/hep.28431

168. Chen TP, Lai M, Lin WY, Huang KC, Yang KC. Metabolic profiles and fibrosis of nonalcoholic fatty liver disease in the elderly: a community-based study. J Gastroenterol Hepatol. 2020;35(9):1636–1643. doi:10.1111/jgh.15073

169. Yao J, Li F, Hua X, Lu M. Lactobacillus rhamnosus-Derived Extracellular Vesicles Mitigate Nonalcoholic Fatty Liver Disease Progression Through Activation of the Apelin Signaling Pathway. FASEB j. 2026;40(4):e71581. doi:10.1096/fj.202502796RR

170. Kim AR, Kang M, Kim DY, Yemaneberhan KH, Choi D. Extracellular Vesicles in Liver Disease: redefining Diagnostic and Therapeutic Strategies. Int J Stem Cells. 2026. doi:10.15283/ijsc25052

171. Shen L. Tight junctions on the move: molecular mechanisms for epithelial barrier regulation. Ann N Y Acad Sci. 2012;1258:9–18. doi:10.1111/j.1749-6632.2012.06613.x

172. Shen L, Black ED, Witkowski ED, et al. Myosin light chain phosphorylation regulates barrier function by remodeling tight junction structure. J Cell Sci. 2006;119(Pt 10):2095–2106. doi:10.1242/jcs.02915

173. Levy M, Kolodziejczyk AA, Thaiss CA, Elinav E. Dysbiosis and the immune system. Nat Rev Immunol. 2017;17(4):219–232. doi:10.1038/nri.2017.7

174. Cani PD, Amar J, Iglesias MA, et al. Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes. 2007;56(7):1761–1772. doi:10.2337/db06-1491

175. Jin X, Yu CH, Lv GC, Li YM. Increased intestinal permeability in pathogenesis and progress of nonalcoholic steatohepatitis in rats. World J Gastroenterol. 2007;13(11):1732–1736. doi:10.3748/wjg.v13.i11.1732

176. Johnson AM, Costanzo A, Gareau MG, et al. High fat diet causes depletion of intestinal eosinophils associated with intestinal permeability. PLoS One. 2015;10(4):e0122195. doi:10.1371/journal.pone.0122195

177. Thaiss CA, Levy M, Grosheva I, et al. Hyperglycemia drives intestinal barrier dysfunction and risk for enteric infection. Science. 2018;359(6382):1376–1383. doi:10.1126/science.aar3318

178. Luo Z, Ji Y, Gao H, et al. CRIg+ Macrophages Prevent Gut Microbial DNA-Containing Extracellular Vesicle-Induced Tissue Inflammation and Insulin Resistance. Gastroenterology. 2021;160(3):863–874. doi:10.1053/j.gastro.2020.10.042

179. Helmy KY, Katschke KJ, Gorgani NN, et al. CRIg: a macrophage complement receptor required for phagocytosis of circulating pathogens. Cell. 2006;124(5):915–927. doi:10.1016/j.cell.2005.12.039

180. Gao H, Wang K, Suarez JA, et al. Gut lumen-leaked microbial DNA causes myocardial inflammation and impairs cardiac contractility in ageing mouse heart. Front Immunol. 2023;14:1216344. doi:10.3389/fimmu.2023.1216344

181. Albillos A, de Gottardi A, Rescigno M. The gut-liver axis in liver disease: pathophysiological basis for therapy. J Hepatol. 2020;72(3):558–577. doi:10.1016/j.jhep.2019.10.003

182. Schwenger KJ, Clermont-Dejean N, Allard JP. The role of the gut microbiome in chronic liver disease: the clinical evidence revised. JHEP Rep. 2019;1(3):214–226. doi:10.1016/j.jhepr.2019.04.004

183. Pang J, Xu W, Zhang X, et al. Significant positive association of endotoxemia with histological severity in 237 patients with non-alcoholic fatty liver disease. Aliment Pharmacol Ther. 2017;46(2):175–182. doi:10.1111/apt.14119

184. Rivera CA, Adegboyega P, van Rooijen N, Tagalicud A, Allman M, Wallace M. Toll-like receptor-4 signaling and Kupffer cells play pivotal roles in the pathogenesis of non-alcoholic steatohepatitis. J Hepatol. 2007;47(4):571–579. doi:10.1016/j.jhep.2007.04.019

185. Koyama Y, Brenner DA. Liver inflammation and fibrosis. J Clin Invest. 2017;127(1):55–64. doi:10.1172/jci88881

186. Schuster S, Cabrera D, Arrese M, Feldstein AE. Triggering and resolution of inflammation in NASH. Nat Rev Gastroenterol Hepatol. 2018;15(6):349–364. doi:10.1038/s41575-018-0009-6

187. Mridha AR, Wree A, Robertson AAB, et al. NLRP3 inflammasome blockade reduces liver inflammation and fibrosis in experimental NASH in mice. J Hepatol. 2017;66(5):1037–1046. doi:10.1016/j.jhep.2017.01.022

188. Hammerich L, Tacke F. Hepatic inflammatory responses in liver fibrosis. Nat Rev Gastroenterol Hepatol. 2023;20(10):633–646. doi:10.1038/s41575-023-00807-x

189. Tacke F, Puengel T, Loomba R, Friedman SL. An integrated view of anti-inflammatory and antifibrotic targets for the treatment of NASH. J Hepatol. 2023;79(2):552–566. doi:10.1016/j.jhep.2023.03.038

190. Cole JB, Florez JC. Genetics of diabetes mellitus and diabetes complications. Nat Rev Nephrol. 2020;16(7):377–390. doi:10.1038/s41581-020-0278-5

191. Jiang S, Yu T, Di D, Wang Y, Li W. Worldwide burden and trends of diabetes among people aged 70 years and older, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Diabetes Metab Res Rev. 2023;e3745. doi:10.1002/dmrr.3745

192. Bellary S, Kyrou I, Brown JE, Bailey CJ. Type 2 diabetes mellitus in older adults: clinical considerations and management. Nat Rev Endocrinol. 2021;17(9):534–548. doi:10.1038/s41574-021-00512-2

193. Yu MG, Gordin D, Fu J, Park K, Li Q, King GL. Protective Factors and the Pathogenesis of Complications in Diabetes. Endocr Rev. 2023. doi:10.1210/endrev/bnad030

194. Kalyani RR, Neumiller JJ, Maruthur NM, Wexler DJ. Diagnosis and Treatment of Type 2 Diabetes in Adults: a Review. JAMA. 2025. doi:10.1001/jama.2025.5956

195. Lu X, Xie Q, Pan X, et al. Type 2 diabetes mellitus in adults: pathogenesis, prevention and therapy. Signal Transduct Target Ther. 2024;9(1):262. doi:10.1038/s41392-024-01951-9

196. Li Y, Li J, Dullaart RPF, Moshage H. Bacterial Extracellular Vesicles in the Pathogenesis and Treatment of Liver Diseases. J Gastroenterol Hepatol. 2026. doi:10.1111/jgh.70264

197. Wellington VNA, Singh S. Role of exosomes in gastrointestinal physiology and pathophysiology. Front Immunol. 2025;16:1717977. doi:10.3389/fimmu.2025.1717977

198. Xiao M, Li X, Li J, Wu M, Zhu L. [Research progress on the mechanism and potential applications of gut microbiota-derived extracellular vesicles in ischemic stroke]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2026;43(1):216–220. Chinese. doi:10.7507/1001-5515.202506074 Norwegian

199. Everard A, Belzer C, Geurts L, et al. Cross-talk between Akkermansia muciniphila and intestinal epithelium controls diet-induced obesity. Proc Natl Acad Sci U S A. 2013;110(22):9066–9071. doi:10.1073/pnas.1219451110

200. Falk E. Pathogenesis of atherosclerosis. J Am Coll Cardiol. 2006;47(8 Suppl):C7–C12. doi:10.1016/j.jacc.2005.09.068

201. Wang JC, Bennett M. Aging and atherosclerosis: mechanisms, functional consequences, and potential therapeutics for cellular senescence. Circ Res. 2012;111(2):245–259. doi:10.1161/circresaha.111.261388

202. Song P, Rudan D, Zhu Y, et al. Global, regional, and national prevalence and risk factors for peripheral artery disease in 2015: an updated systematic review and analysis. Lancet Glob Health. 2019;7(8):e1020–e1030. doi:10.1016/s2214-109x(19)30255-4

203. Tohidpour A. CagA-mediated pathogenesis of Helicobacter pylori. Microb Pathog. 2016;93:44–55. doi:10.1016/j.micpath.2016.01.005

204. Kowalski M. Helicobacter pylori (H. pylori) infection in coronary artery disease: influence of H. pylori eradication on coronary artery lumen after percutaneous transluminal coronary angioplasty. The detection of H. pylori specific DNA in human coronary atherosclerotic plaque. J Physiol Pharmacol. 2001;52(1 Suppl 1):3–31.

205. Ali ZA, Rinze R, Douglas G, et al. Tetrahydrobiopterin determines vascular remodeling through enhanced endothelial cell survival and regeneration. Circulation. 2013;128(11 Suppl 1):S50–S58. doi:10.1161/circulationaha.112.000249

206. Jaipersad AS, Lip GY, Silverman S, Shantsila E. The role of monocytes in angiogenesis and atherosclerosis. J Am Coll Cardiol. 2014;63(1):1–11. doi:10.1016/j.jacc.2013.09.019

207. Si W, Liang H, Bugno J, et al. Lactobacillus rhamnosus GG induces cGAS/STING- dependent type I interferon and improves response to immune checkpoint blockade. Gut. 2022;71(3):521–533. doi:10.1136/gutjnl-2020-323426

208. Schnadower D, Tarr PI, Casper TC, et al. Lactobacillus rhamnosus GG versus Placebo for Acute Gastroenteritis in Children. N Engl J Med. 2018;379(21):2002–2014. doi:10.1056/NEJMoa1802598

209. Tyagi AM, Yu M, Darby TM, et al. The Microbial Metabolite Butyrate Stimulates Bone Formation via T Regulatory Cell-Mediated Regulation of WNT10B Expression. Immunity. 2018;49(6):1116–1131.e7. doi:10.1016/j.immuni.2018.10.013

210. Johnstone J, Meade M, Lauzier F, et al. Effect of Probiotics on Incident Ventilator-Associated Pneumonia in Critically Ill Patients: a Randomized Clinical Trial. JAMA. 2021;326(11):1024–1033. doi:10.1001/jama.2021.13355

211. Gisterå A, Hansson GK. The immunology of atherosclerosis. Nat Rev Nephrol. 2017;13(6):368–380. doi:10.1038/nrneph.2017.51

212. Hizir Z, Bottini S, Grandjean V, Trabucchi M, Repetto E. RNY (YRNA)-derived small RNAs regulate cell death and inflammation in monocytes/macrophages. Cell Death Dis. 2017;8(1):e2530. doi:10.1038/cddis.2016.429

213. Ghosal A. Importance of secreted bacterial RNA in bacterial-host interactions in the gut. Microb Pathog. 2017;104:161–163. doi:10.1016/j.micpath.2017.01.032

214. Chen W, Zhang S, Wu J, et al. Butyrate-producing bacteria and the gut-heart axis in atherosclerosis. Clin Chim Acta. 2020;507:236–241. doi:10.1016/j.cca.2020.04.037

215. Lin Y, Wang J, Bu F, et al. Bacterial extracellular vesicles in the initiation, progression and treatment of atherosclerosis. Gut Microbes. 2025;17(1):2452229. doi:10.1080/19490976.2025.2452229

216. Jing B, Gao Y, Wang L, et al. Probiotic membrane vesicles ameliorate atherosclerotic plaques by promoting lipid efflux and polarization of foamy macrophages. J Nanobiotechnology. 2025;23(1):296. doi:10.1186/s12951-025-03360-8

217. Zhu RR, Zhou XL, Liu YW, Xu R, Deng P, Liu ZY. Engineered endothelial cells targeting and dihydrotanshinone I loaded bacterial extracellular vesicles for atherosclerosis therapy. Bioeng Transl Med. 2025;10(6):e70074. doi:10.1002/btm2.70074

218. Foessl I, Dimai HP, Obermayer-Pietsch B. Long-term and sequential treatment for osteoporosis. Nat Rev Endocrinol. 2023;19(9):520–533. doi:10.1038/s41574-023-00866-9

219. Song S, Guo Y, Yang Y, Fu D. Advances in pathogenesis and therapeutic strategies for osteoporosis. Pharmacol Ther. 2022;237:108168. doi:10.1016/j.pharmthera.2022.108168

220. Seely KD, Kotelko CA, Douglas H, Bealer B, Brooks AE. The Human Gut Microbiota: a Key Mediator of Osteoporosis and Osteogenesis. Int J Mol Sci. 2021;22(17). doi:10.3390/ijms22179452

221. Xu Q, Li D, Chen J, et al. Crosstalk between the gut microbiota and postmenopausal osteoporosis: mechanisms and applications. Int Immunopharmacol. 2022;110:108998. doi:10.1016/j.intimp.2022.108998

222. Gagnon E, Mitchell PL, Manikpurage HD, et al. Impact of the gut microbiota and associated metabolites on cardiometabolic traits, chronic diseases and human longevity: a Mendelian randomization study. J Transl Med. 2023;21(1):60. doi:10.1186/s12967-022-03799-5

223. Lu L, Chen X, Liu Y, Yu X. Gut microbiota and bone metabolism. FASEB j. 2021;35(7):e21740. doi:10.1096/fj.202100451R

224. Zheng XQ, Wang DB, Jiang YR, Song CL. Gut microbiota and microbial metabolites for osteoporosis. Gut Microbes. 2025;17(1):2437247. doi:10.1080/19490976.2024.2437247

225. Zaiss MM, Jones RM, Schett G, Pacifici R. The gut-bone axis: how bacterial metabolites bridge the distance. J Clin Invest. 2019;129(8):3018–3028. doi:10.1172/jci128521

226. Wu F, Huang Y, Hu J, Shao Z. Mendelian randomization study of inflammatory bowel disease and bone mineral density. BMC Med. 2020;18(1):312. doi:10.1186/s12916-020-01778-5

227. Derrien M, van Passel MW, Van de bovenkamp JH, Schipper RG, de Vos WM, Dekker J. Mucin-bacterial interactions in the human oral cavity and digestive tract. Gut Microbes. 2010;1(4):254–268. doi:10.4161/gmic.1.4.12778

228. Martin P, Kelly N, Kahana B, et al. Defining successful aging: a tangible or elusive concept? Gerontologist. 2015;55(1):14–25. doi:10.1093/geront/gnu044

229. Poulain M, Pes GM, Grasland C, et al. Identification of a geographic area characterized by extreme longevity in the Sardinia island: the AKEA study. Exp Gerontol. 2004;39(9):1423–1429. doi:10.1016/j.exger.2004.06.016

230. Palmas V, Pisanu S, Madau V, et al. Gut Microbiota Markers and Dietary Habits Associated with Extreme Longevity in Healthy Sardinian Centenarians. Nutrients. 2022;14(12). doi:10.3390/nu14122436

231. Wang F, Yu T, Huang G, et al. Gut Microbiota Community and Its Assembly Associated with Age and Diet in Chinese Centenarians. J Microbiol Biotechnol. 2015;25(8):1195–1204. doi:10.4014/jmb.1410.10014

232. Wang X, Lin S, Wang L, et al. Versatility of bacterial outer membrane vesicles in regulating intestinal homeostasis. Sci Adv. 2023;9(11):eade5079. doi:10.1126/sciadv.ade5079

233. Kang CS, Ban M, Choi EJ, et al. Extracellular vesicles derived from gut microbiota, especially Akkermansia muciniphila, protect the progression of dextran sulfate sodium-induced colitis. PLoS One. 2013;8(10):e76520. doi:10.1371/journal.pone.0076520

234. Elhenawy W, Debelyy MO, Feldman MF. Preferential packing of acidic glycosidases and proteases into Bacteroides outer membrane vesicles. mBio. 2014;5(2):e00909–14. doi:10.1128/mBio.00909-14

235. Tashiro Y, Hasegawa Y, Shintani M, et al. Interaction of Bacterial Membrane Vesicles with Specific Species and Their Potential for Delivery to Target Cells. Front Microbiol. 2017;8:571. doi:10.3389/fmicb.2017.00571

236. Nakajima A, Sasaki T, Itoh K, et al. A Soluble Fiber Diet Increases Bacteroides fragilis Group Abundance and Immunoglobulin A Production in the Gut. Appl Environ Microbiol. 2020;86(13). doi:10.1128/aem.00405-20

237. Zocco MA, Ainora ME, Gasbarrini G, Gasbarrini A. Bacteroides thetaiotaomicron in the gut: molecular aspects of their interaction. Dig Liver Dis. 2007;39(8):707–712. doi:10.1016/j.dld.2007.04.003

238. Donaldson GP, Ladinsky MS, Yu KB, et al. Gut microbiota utilize immunoglobulin A for mucosal colonization. Science. 2018;360(6390):795–800. doi:10.1126/science.aaq0926

239. Maynard CL, Elson CO, Hatton RD, Weaver CT. Reciprocal interactions of the intestinal microbiota and immune system. Nature. 2012;489(7415):231–241. doi:10.1038/nature11551

240. Artis D. Epithelial-cell recognition of commensal bacteria and maintenance of immune homeostasis in the gut. Nat Rev Immunol. 2008;8(6):411–420. doi:10.1038/nri2316

241. Weis AM, Round JL. Microbiota-antibody interactions that regulate gut homeostasis. Cell Host Microbe. 2021;29(3):334–346. doi:10.1016/j.chom.2021.02.009

242. Moosavi SM, Akhavan Sepahi A, Mousavi SF, Vaziri F, Siadat SD. The effect of Faecalibacterium prausnitzii and its extracellular vesicles on the permeability of intestinal epithelial cells and expression of PPARs and ANGPTL4 in the Caco-2 cell culture model. J Diabetes Metab Disord. 2020;19(2):1061–1069. doi:10.1007/s40200-020-00605-1

243. Cheng Z, Yang L, Chu H. The role of gut microbiota, exosomes, and their interaction in the pathogenesis of ALD. J Adv Res. 2024. doi:10.1016/j.jare.2024.07.002

244. Salvioli S, Basile MS, Bencivenga L, et al. Biomarkers of aging in frailty and age-associated disorders: state of the art and future perspective. Ageing Res Rev. 2023;91:102044. doi:10.1016/j.arr.2023.102044

245. Wan S, Wang K, Huang P, et al. Mechanoelectronic stimulation of autologous extracellular vesicle biosynthesis implant for gut microbiota modulation. Nat Commun. 2024;15(1):3343. doi:10.1038/s41467-024-47710-w

246. Kaisanlahti A, Turunen J, Byts N, et al. Maternal microbiota communicates with the fetus through microbiota-derived extracellular vesicles. Microbiome. 2023;11(1):249. doi:10.1186/s40168-023-01694-9

247. Głowacka P, Oszajca K, Pudlarz A, Szemraj J, Witusik-Perkowska M. Postbiotics as Molecules Targeting Cellular Events of Aging Brain-The Role in Pathogenesis, Prophylaxis and Treatment of Neurodegenerative Diseases. Nutrients. 2024;16(14). doi:10.3390/nu16142244

248. Kaisanlahti A, Turunen J, Hekkala J, et al. Gut microbiota-derived extracellular vesicles form a distinct entity from gut microbiota. mSystems. 2025:e0031125. doi:10.1128/msystems.00311-25

249. Pei J, Zhang C, Zhang Q, et al. Probiotics alleviate chronic ethanol exposure-induced anxiety-like behavior and hippocampal neuroinflammation in male mice through gut microbiota-derived extracellular vesicles. J Nanobiotechnology. 2024;22(1):730. doi:10.1186/s12951-024-03017-y

250. Pan Q, Guo F, Huang Y, et al. Gut Microbiota Dysbiosis in Systemic Lupus Erythematosus: novel Insights into Mechanisms and Promising Therapeutic Strategies. Front Immunol. 2021;12:799788. doi:10.3389/fimmu.2021.799788

251. Yang L, Liu T, Liao Y, et al. Potential therapeutic application and mechanism of gut microbiota-derived extracellular vesicles in polycystic ovary syndrome. Biomed Pharmacother. 2024;180:117504. doi:10.1016/j.biopha.2024.117504

252. Xiong Y, Lu X, Li B, et al. Bacteroides Fragilis Transplantation Reverses Reproductive Senescence by Transporting Extracellular Vesicles Through the Gut-Ovary Axis. Adv Sci. 2025:e2409740. doi:10.1002/advs.202409740

253. Bashir B, Gulati M, Vishwas S, et al. Bridging gap in the treatment of Alzheimer’s disease via postbiotics: current practices and future prospects. Ageing Res Rev. 2025:102689. doi:10.1016/j.arr.2025.102689

254. Liang X, Dai N, Sheng K, et al. Gut bacterial extracellular vesicles: important players in regulating intestinal microenvironment. Gut Microbes. 2022;14(1):2134689. doi:10.1080/19490976.2022.2134689

255. Barathan M, Ng SL, Lokanathan Y, Ng MH, Law JX. Milk-Derived Extracellular Vesicles: a Novel Perspective on Comparative Therapeutics and Targeted Nanocarrier Application. Vaccines. 2024;12(11). doi:10.3390/vaccines12111282

256. Preußer C, Salander DJ, Szymanski W, et al. Isolation Defines Identity: functional Consequences of Extracellular Vesicle Purification Strategies. Adv Healthc Mater. 2026:e04684. doi:10.1002/adhm.202504684

257. Vaiaki EM, Falasca M. Comparative Analysis of the Minimal information for studies of extracellular vesicles Guidelines: advancements and Implications for Extracellular Vesicle Research. Semin Cancer Biol. 2024. doi:10.1016/j.semcancer.2024.04.002

258. Fu W, Yang N, Yan J, et al. Oral-Gut Microbial Crosstalk and Therapeutic Applications of Bacterial Extracellular Vesicles. Biomolecules. 2025;16(1). doi:10.3390/biom16010026

259. Zhang YW, Li RY, Wu Y, Wang P, Zhou QR, Su JC. Gut microbiota and bone aging: focusing on the gut-X axis modes. J Orthop Translat. 2026;57:101064. doi:10.1016/j.jot.2026.101064

260. Wang WT, Xin YY, Niu JQ, Jin WL. The multiorgan crosstalk network of the liver-brain axis: from molecular mechanisms to emerging therapeutic targets. Mol Aspects Med. 2026;108:101460. doi:10.1016/j.mam.2026.101460

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