Back to Journals » International Journal of Nanomedicine » Volume 21
From Bench to Bedside: Multifunctional Nanoplatforms in the Fight Against Non-alcoholic Fatty Liver Disease
Authors Zhao Y, Wang L, Zhu S, Feng R, Zhang W
Received 3 January 2026
Accepted for publication 1 April 2026
Published 1 May 2026 Volume 2026:21 593450
DOI https://doi.org/10.2147/IJN.S593450
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 4
Editor who approved publication: Professor Eng San Thian
Yu Zhao,1,* Luting Wang,2,3,* Shengrui Zhu,4 Rui Feng,5 Wei Zhang1
1Geriatric Medicine Center, Department of Endocrinology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, People’s Republic of China; 2Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, People’s Republic of China; 3School of Clinical Medicine, Hangzhou Normal University, Hangzhou, Zhejiang, People’s Republic of China; 4Department of General Practice, Tiantai People’s Hospital of Zhejiang Province, Tiantai, Zhejiang, People’s Republic of China; 5Department of Interventional Medicine, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Wei Zhang, Email [email protected]
Abstract: Non-alcoholic fatty liver disease (NAFLD) affects approximately 25% of the global adult population and represents a major public health burden, characterized by disease progression from steatosis to non-alcoholic steatohepatitis (NASH), fibrosis, cirrhosis, and potentially hepatocellular carcinoma. Despite this high prevalence and serious clinical outcomes, no pharmacologic therapies are currently approved, and standard lifestyle interventions often prove ineffective. Therefore, there is a major unmet clinical need for innovative treatments. To overcome these limitations, nanomedicine has emerged as a promising approach, with multifunctional nanoplatforms (MFNs) demonstrating distinctive advantages in tackling the complex pathology of NAFLD. For instance, MFNs enable targeted liver delivery, synergistic therapeutic effects (eg, reducing hepatic lipogenesis and fibrosis), and theranostic integration, thereby minimizing rapid clearance and adverse effects associated with conventional low-molecular-weight compounds. Consequently, this review comprehensively synthesizes the latest advances in MFNs for NAFLD management, critically analyzing their design strategies (eg, nanoencapsulation of bioactive compounds for enhanced bioavailability) and mechanistic roles in ameliorating inflammation, fibrosis, and steatosis. Furthermore, it explores challenges such as optimizing organ-specific targeting and personalized applications, while outlining future research directions to accelerate clinical translation and address coexisting conditions like chronic hepatitis B infection. By bridging current knowledge gaps, this work aims to inform the development of effective nanotherapeutic strategies for NAFLD.
Keywords: non-alcoholic fatty liver disease, multifunctional nanoplatforms, synergistic therapy, theranostic nanoplatforms, clinical translation
Introduction
Non-alcoholic fatty liver disease (NAFLD) has become the most prevalent liver disease globally, affecting approximately 25% of the adult population.1 With the global obesity epidemic, the incidence of NAFLD has exhibited a significant upward trend and is closely associated with manifestations of metabolic syndrome, such as type 2 diabetes and cardiovascular diseases.2,3 The disease spectrum can progress from simple hepatic steatosis to non-alcoholic steatohepatitis (NASH), ultimately leading to end-stage liver diseases including cirrhosis and hepatocellular carcinoma.4,5 Notably, the demand for liver transplantation related to NAFLD is rapidly increasing, making it the second most important indication for transplantation after viral hepatitis.6 This epidemiological shift poses a severe challenge to public health systems, underscoring the urgent need for developing novel therapeutic strategies.2
The spectrum of NAFLD encompasses a range of stages from simple steatosis to NASH with inflammation and fibrosis.7 Although controversies exist in the academic community regarding disease terminology, such as the proposal of the new name MAFLD,8 the core pathological features consistently center around disturbances in hepatocyte lipid metabolism, oxidative stress, and inflammatory responses.9,10 Currently, the main clinical challenge lies in the absence of any formally approved pharmacological agents for NAFLD treatment,11,12 with existing interventions like lifestyle modifications exhibiting poor adherence and limited efficacy.13 More critically, approximately 20–30% of NASH patients progress to advanced fibrosis, underscoring an urgent need for therapeutic strategies that simultaneously target multiple pathological mechanisms.7,9 This unmet clinical need motivates researchers to explore innovative treatment paradigms, including nanotechnology-based approaches.14,15
Nanomedicine presents a revolutionary potential for the treatment of NAFLD. Compared to traditional small molecule drugs, nano-delivery systems offer several distinct advantages: they can protect bioactive components,16 achieve liver-targeted delivery,17 synergistically co-load multiple therapeutic agents,18 and integrate diagnostic and therapeutic functions (“theranostics”).19 Particularly, the development of biomimetic nanoplatforms, such as those featuring ROS-responsive properties, significantly enhances drug accumulation and release efficiency within fibrotic livers.18 Nanotechnology also effectively overcomes the limitation of low bioavailability associated with natural bioactive compounds (eg, ginsenoside), enabling the development of long-term and low-toxic nano-formulations of ginsenoside.20 These innovations address the critical bottlenecks of low therapeutic efficacy and significant organ toxicity observed with current drug treatments.20,21 Furthermore, nanomedicine provides the crucial technological platform needed to implement novel therapeutic strategies, including metabolic reprogramming and microbiome modulation.22,23 This multi-targeted and precise therapeutic philosophy embodied by nanomedicine is actively reshaping the overall paradigm of NAFLD management19,20 (Figure 1). Several recent reviews have explored the application of nanomedicine in NAFLD, focusing primarily on individual aspects such as the design of liver-targeted delivery systems, the use of natural product-based nanocarriers, or the potential of specific nanomaterials for anti-inflammatory or anti-fibrotic therapy. In contrast, the present review provides a comprehensive and systematic overview of multifunctional nanoplatforms (MFNs) that integrate multiple therapeutic and diagnostic functions within a single system. Specifically, we critically analyze the design strategies—including material selection, stimuli-responsive release, and biomimetic surface engineering—that enable MFNs to simultaneously address the complex pathological features of NAFLD, such as steatosis, inflammation, and fibrosis. Moreover, we extend beyond preclinical development by offering an in-depth discussion of translational challenges, including scalable manufacturing, long-term biosafety, patient heterogeneity, and innovative clinical trial paradigms. The inclusion of a comprehensive table summarizing nanomaterial-based therapies and diagnostic platforms further distinguishes this review, providing a practical reference for researchers in the field. By bridging these interdisciplinary perspectives, this review aims to inform the rational design and clinical translation of next-generation nanotherapeutics for NAFLD.
|
Figure 1 The schematic illumination of the multifunctional nanoplatforms in the fight against non-alcoholic fatty liver disease. |
Pathogenesis and Therapeutic Targets of NAFLD
Core Pathways of Hepatocyte Lipid Metabolism Dysregulation
The core pathological feature of NAFLD is abnormal lipid accumulation within hepatocytes, involving dysregulation of complex metabolic networks as shown in Figure 2. In the context of obesity and insulin resistance, the hepatic de novo lipogenesis (DNL) pathway is aberrantly activated, while fatty acid beta-oxidation is simultaneously suppressed.24,25 Sterol regulatory element-binding proteins (SREBPs), as key transcriptional regulators, drive upregulated expression of lipid synthesis-related enzymes, leading to excessive deposition of triglycerides in hepatocytes.25–27 Additionally, insulin resistance enhances peripheral adipose tissue lipolysis, flooding the liver with free fatty acids and further aggravating hepatic lipid burden.27,28 These metabolic disruptions constitute the initial pathological insult within the contemporary “multiple-hit” framework, setting the stage for subsequent inflammation and fibrosis.27,29,30 In this model, multiple parallel and interacting factors—including insulin resistance, adipose tissue dysfunction, gut-derived metabolites, and genetic susceptibility—collectively contribute to disease initiation and progression, rather than a linear sequence of discrete hits.
|
Figure 2 Pathophysiological schematic of hepatocellular carcinoma associated with non-alcoholic fatty liver disease. Reproduced with permission from Ref.31 Copyright 2022, Springer Nature. |
Gut-Liver Axis and Gut Microbiome Dysbiosis
The gut microbiome plays a pivotal role in NAFLD pathogenesis through the gut-liver axis. Dietary patterns and exposure to environmental toxins can induce gut dysbiosis, disrupting intestinal barrier function and enabling microbial products like bacterial endotoxin (LPS) to enter the liver via the portal vein.32–35 These metabolites activate Toll-like receptors (TLRs) on hepatic Kupffer cells, triggering pro-inflammatory signaling pathways.33,36,37 Crucially, gut dysbiosis disrupts bile acid metabolism, interfering with the farnesoid X receptor (FXR) signaling pathway and impairing hepatic lipid homeostasis.38–40 It has long been known that antibiotic exposure alters gut microbiota-derived metabolites,41–43 further exacerbating liver metabolic dysregulation by affecting hepatic phospholipid biosynthesis.37,44 Beyond the activation of inflammatory pathways, gut-derived metabolites directly influence hepatic lipid metabolism. For instance, short-chain fatty acids (SCFAs), produced by commensal bacteria through dietary fiber fermentation, can regulate hepatic de novo lipogenesis by modulating sterol regulatory element-binding protein (SREBP) activity. Conversely, metabolites such as secondary bile acids and lipopolysaccharide (LPS) may exacerbate lipid accumulation by impairing insulin signaling and promoting pro-inflammatory cytokine release. These interactions underscore the critical role of the gut-liver axis not only in inflammation but also in the metabolic dysregulation that defines NAFLD.
Key Regulatory Nodes in Inflammation and Fibrosis Progression
The progression from NAFLD to NASH involves a “second hit” characterized by lipotoxicity-induced inflammation and fibrosis. Excessive lipid accumulation causes endoplasmic reticulum stress and mitochondrial dysfunction, generating reactive oxygen species (ROS) that activate pro-inflammatory pathways like NF-κB and JNK.25,45,46 This inflammatory milieu activates hepatic stellate cells (HSCs), promoting extracellular matrix deposition and liver fibrosis.25,27,46 Notably, genetic factors such as 17β-hydroxysteroid dehydrogenase 13 (HSD17B13) modulate disease progression, offering insights into NAFLD heterogeneity.46–48 Insulin resistance serves as a critical amplifier of inflammatory signaling in NAFLD. Hyperinsulinemia promotes the activation of NF-κB and JNK pathways in both hepatocytes and Kupffer cells, enhancing the production of pro-inflammatory cytokines such as tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6). Moreover, insulin resistance impairs autophagy, leading to the accumulation of damaged mitochondria and sustained reactive oxygen species (ROS) production, which further perpetuates the inflammatory milieu. This vicious cycle creates a self-sustaining environment that drives the transition from simple steatosis to non-alcoholic steatohepatitis (NASH) and fibrosis.
Limitations of Current Pharmacotherapies
Despite NAFLD/NASH being the most prevalent chronic liver disease globally, no FDA-approved drugs specifically target the pathways causing NAFLD/NASH.39,49–52 Current strategies focus mainly on metabolic comorbidities: *eg*insulin sensitizers for insulin resistance or lipid-lowering agents for dyslipidemia.51,53,54 However, these approaches target single pathological facets and fail to address NAFLD’s multisystem complexity.25,55,56 Preclinical studies suggest promising therapies targeting gut microbiota (*eg*fecal microbiota transplantation) or bile acid metabolism (*eg*FXR agonists),33,39,40 yet challenges remain in translation to clinical practice: significant inter-individual variability, unclear long-term safety, and difficulties in clinical trial design due to disease heterogeneity.25,55,56 Taken together, the pathophysiology of NAFLD is now understood as a complex, multi-faceted process involving the simultaneous interplay of metabolic, inflammatory, and fibrotic pathways. The limitations of current pharmacotherapies stem largely from their single-target nature, which fails to address this integrated pathology. This underscores the urgent need for multi-targeted therapeutic strategies—such as multifunctional nanoplatforms—that can concurrently modulate lipid metabolism, resolve inflammation, and halt fibrosis progression. The subsequent sections of this review will discuss how nanotechnology offers a promising platform to achieve such integrated therapeutic effects.
Design Principles of Multifunctional Nanoplatforms
The design of multifunctional nanoplatforms for NAFLD must account for the unique pathophysiological features of the diseased liver, including enhanced vascular permeability, activated hepatic stellate cells, increased oxidative stress, and dysregulated immune cell infiltration. Unlike oncology applications where enhanced permeability and retention (EPR) effects dominate, NAFLD targeting strategies often leverage receptor upregulation on hepatocytes (eg, asialoglycoprotein receptor, LDLR), activated hepatic stellate cells (eg, PDGFRβ, integrins), or infiltrating macrophages. The following subsections outline key design principles, with emphasis on strategies that have been validated in hepatic or metabolic disease models.
Material Selection Strategies for Targeted Delivery Systems
The selection of materials for multifunctional nanoplatforms requires comprehensive consideration of biocompatibility, drug-loading capacity, and targeting specificity (Table 1). Current research employs innovative material systems, including biomimetic nanoparticles composed of platelet and erythrocyte membranes (PM&EM nanoparticles). This dual-membrane structure simultaneously endows nanoparticles with targeting capabilities for cardiac fibroblasts and collagen.16,57 For liver-targeted delivery, natural product-based systems, such as ginsenoside-albumin nanocomposites (nabCK), demonstrate excellent liver selectivity and long-term low toxicity.20,22 Additionally, chitosan-based nanoparticles self-assembled with sodium tripolyphosphate enable sustained miRNA delivery.58,59 Scalability for industrial production is also critical, as exemplified by albumin submicrospheres fabricated via coaxial electrospraying for standardized preparation.22,60
|
Table 1 List of Nanomaterial-Based Therapies for NAFLD |
For NAFLD applications, material selection must prioritize biocompatibility in the context of chronic liver disease, where pre-existing inflammation may alter nanoparticle clearance and immune responses. Natural product-based systems, such as ginsenoside-albumin nanocomposites (nabCK), have demonstrated excellent liver selectivity and long-term low toxicity specifically in NAFLD models.20,22 Similarly, chitosan-based nanoparticles have been successfully applied for sustained miRNA delivery in hepatic contexts,59,60 highlighting the translational potential of materials with established safety profiles in liver disease.
Molecular Engineering for Liver-Specific Targeting
Achieving liver-specific targeting necessitates precise molecular design strategies (Table 2). Lactose-modified albumin nanoparticles (CEL-Lac-BSA) significantly enhance hepatic targeting efficiency through asialoglycoprotein receptor-mediated endocytosis.22,82 The asialoglycoprotein receptor (ASGPR) is a C-type lectin expressed almost exclusively on hepatocytes—with approximately 500,000 binding sites per cell—that specifically recognizes and internalizes molecules bearing terminal galactose or N-acetylgalactosamine (GalNAc) residues, making it one of the most exploited targets for liver-specific drug delivery due to its high expression level, rapid internalization kinetics, and restricted extrahepatic distribution.83,84 In metabolic dysfunction-associated steatotic liver disease (MASLD), leveraging the upregulation of low-density lipoprotein receptor/very-low-density lipoprotein receptor (LDLR/VLDLR) enables the design of hepatocyte-targeted delivery systems.64,85 Recent advances include DNA-engineered methods, where surface-conjugated DNA monolayers effectively evade hepatic phagocytosis and enhance tumor targeting.86,87 Furthermore, a sympathetic nerve-focused strategy co-delivering adrenoceptor antagonists (eg, labetalol) and retinoic acid achieves precise targeting in fibrotic livers.16,20
|
Table 2 Targeting Strategies for Liver-Specific Nanoplatform Delivery |
Beyond receptor selection, quantitative targeting efficiency and off-target biodistribution remain critical considerations for NAFLD nanomedicines. The density of targeting ligands on nanoparticle surfaces directly influences cellular uptake and tissue selectivity; excessively high ligand density may promote reticuloendothelial system clearance, while insufficient density reduces target engagement. Moreover, upon systemic administration, nanoparticles inevitably interact with serum proteins to form a protein corona, which can mask targeting ligands, alter biodistribution, and trigger immune recognition. In the context of NAFLD, altered protein composition due to dyslipidemia and chronic inflammation may further modify corona formation, potentially affecting targeting fidelity. Preclinical evaluation of nanoplatforms for NAFLD should therefore include quantitative assessments of ligand density optimization, corona composition analysis using proteomics, and systematic biodistribution studies in relevant disease models to establish structure-activity relationships that guide rational design.
Stimuli-Responsive Drug-Controlled Release Technologies
Environmentally responsive nanosystems enable spatiotemporally controlled drug release at pathological sites. Glutathione (GSH)-responsive nanoplatforms achieve targeted release in activated fibroblasts within myocardial infarction regions.95,96 Reactive oxygen species (ROS)-responsive systems integrate ROS scavenging and stimulus-triggered release functions, enabling intelligent drug release in fibrotic liver microenvironments.16,97 pH-responsive platforms utilize zwitterionic aminophospholipid derivatives, which switch to positive charges under acidic conditions to facilitate CRISPR/Cas9 plasmid delivery.98,99 Temperature-responsive “aquabots” adapt to complex physiological environments for targeted catalysis and release.100,101 These smart systems significantly enhance drug accumulation and release efficiency in target tissues. While stimuli-responsive systems enhance drug accumulation at pathological sites, off-target activation remains a potential concern. For NAFLD, ROS levels are elevated not only in the liver but also systemically in metabolic syndrome, potentially leading to premature drug release. Strategies to minimize off-target effects include incorporating multiple stimuli-responsive elements (eg, ROS/pH dual-responsive) and designing systems with threshold activation levels that exceed basal physiological conditions. Comprehensive pharmacokinetic and biodistribution profiling in NAFLD models is essential to validate the specificity of these smart release systems.
Construction of Theranostic Nanoprobes
Theranostic nanoplatforms integrate diagnostic and therapeutic functions within a single system. Iron-based metal-organic frameworks (Fe-MOFs) simultaneously create iron-enriched cellular environments to induce ferroptosis while enabling photothermal therapy for multimodal treatment.102,103 Engineered exosome platforms derived from HEK-293T cells expressing specific targeting ligands achieve dual tumor-targeted imaging and therapy87,104 (Figure 3). For NAFLD management, multimodal molecular imaging-guided systems enable real-time monitoring of nanodrug distribution and liver-specific targeting via surface modifications.17,18,105 These theranostic designs provide novel technological pathways for precision medicine in NAFLD, facilitating visualized treatment monitoring and real-time efficacy assessment.85,95,96
|
Figure 3 Illustration of in situ imaging of extracellular vesicles in non-alcoholic fatty liver disease using a near-infrared fluorescent viscosity probe. (With increasing viscosity, the rotation around two carbon-carbon bonds in ND-N decreases, resulting in a large increase in fluorescence). Reproduced with permission from Ref.106 Copyright 2025, American Chemical Society. |
Collectively, the design principles outlined above must be contextualized within the specific requirements of NAFLD nanomedicine. Unlike oncology where EPR-mediated passive targeting often suffices, NAFLD nanoplatforms require active targeting strategies that account for the heterogeneous cell populations involved—hepatocytes for lipid metabolism, hepatic stellate cells for fibrosis, and Kupffer cells for inflammation. Furthermore, the chronic nature of NAFLD necessitates nanocarriers with favorable long-term safety profiles and minimal immunogenicity. Quantitative assessment of targeting efficiency, rigorous evaluation of off-target biodistribution, and careful consideration of protein corona effects are essential components of preclinical development. The following section will survey recent advances in applying these design principles to NAFLD therapy, highlighting platforms that have demonstrated efficacy in disease-relevant models.
Advances in the Application of Multifunctional Nanoplatforms for NAFLD Therapy
Lipid Metabolism-Regulating Nanoplatforms
Multifunctional nanoplatforms demonstrate significant advantages in modulating hepatocellular lipid metabolism. Studies reveal that nabCK, a nanoplatform composed of the natural compound ginsenoside CK, exhibits long-term low toxicity and liver selectivity, effectively alleviating NAFLD symptoms.20 Nanoencapsulated short-chain fatty acids (SCFAs) outperform traditional low-molecular-weight SCFAs in ameliorating fatty liver disease phenotypes, markedly reducing hepatic lipogenesis and fibrosis with negligible adverse effects.107 Furthermore, retinoid derivative-based lipid nanoparticles (LNPs) offer a novel therapeutic strategy for metabolic dysfunction-associated steatohepatitis (MASH) by enhancing mRNA overexpression in fibrotic hepatocytes.18
Quantitative preclinical data further support the efficacy of these platforms. In a high-fat diet-induced NAFLD mouse model, nabCK administration (20 mg/kg, intraperitoneal, twice weekly for 8 weeks) reduced hepatic triglyceride levels by approximately 45% compared to untreated controls, accompanied by a 50% reduction in serum alanine aminotransferase (ALT) levels.20 Nanoencapsulated short-chain fatty acids (SCFAs) delivered orally at a dose of 50 mg/kg daily for 12 weeks decreased hepatic lipid accumulation by 38% and reduced collagen deposition by 42% relative to free SCFAs.108 When comparing these platforms, lipid-based nanocarriers offer the advantage of established clinical translation pathways but may face stability challenges, whereas natural product-based systems like nabCK demonstrate superior long-term safety profiles yet require more complex manufacturing processes. The choice of platform ultimately depends on the specific therapeutic goal—lipid metabolism regulation alone versus combined anti-inflammatory or anti-fibrotic effects.
Anti-Inflammatory and Antioxidant Synergistic Nanosystems
Breakthroughs have been made in synergistic nanosystems targeting oxidative stress and inflammation in NAFLD. A macrophage-membrane-coated nanosystem co-delivering the antioxidant precursor N-acetylcysteine (NAC) and epigallocatechin gallate (EGCG) significantly enhances anti-inflammatory efficacy.16,109 As illustrated in Figure 4, a ROS-responsive and ROS-scavenging biomimetic nanoplatform enables precise co-delivery of retinoic acid (RA) and the adrenoceptor antagonist labetalol (LA), demonstrating improved drug accumulation and release in fibrotic livers.16 Additionally, a charge-reversal nanoassembly (FPPD) has been developed for NAFLD therapy. This nanoplatform reduces macrophage-mediated inflammation and hepatocyte lipid accumulation through a dual mechanism of action. Specifically, FPPD scavenges excess reactive oxygen species (ROS) and restores mitochondrial function, thereby addressing two interconnected pathological drivers of disease progression.100
|
Figure 4 Schematic illustration of the biomimetic nanoplatform leveraging adrenergic receptor blockade for enhanced treatment of NAFLD. Reproduced with permission from Ref.16 Copyright 2024, Springer Nature. |
Critical comparison of these anti-inflammatory nanosystems reveals distinct mechanistic advantages and limitations. The macrophage-membrane-coated system achieves active targeting via chemotaxis toward inflamed liver regions, resulting in a 4.5-fold increase in drug accumulation compared to uncoated nanoparticles in NASH mouse models.16,110 In contrast, the ROS-responsive biomimetic nanoplatform leverages the elevated oxidative stress environment characteristic of NAFLD, achieving stimulus-triggered drug release with an on/off ratio exceeding 8:1 under pathological ROS conditions.16,18 The charge-reversal nanoassembly (FPPD) distinguishes itself by restoring mitochondrial function—a mechanical aspect involving the normalization of mitochondrial membrane potential and reduction of mitochondrial reactive oxygen species production.100 From a mechanical engineering perspective, the deformability of these nanosystems (with elastic moduli ranging from 0.5 to 5 kPa for membrane-coated systems versus >50 kPa for rigid polymeric nanoparticles) influences their ability to traverse the sinusoidal endothelium and penetrate fibrotic tissue. Softer nanoparticles generally demonstrate enhanced extravasation and deeper penetration into inflamed liver parenchyma, a critical consideration for targeting activated hepatic stellate cells embedded within fibrotic septa.
Anti-Fibrotic Gene Delivery Platforms
Gene therapy nanoplatforms offer novel approaches for hepatic fibrosis treatment. As depicted in Figure 5, engineered lipid nanoparticles modulate G2/S-phase-related gene expression via targeted RNA therapeutics, showing potential for fibrosis reversal.18,111 Rubicon-targeted nanoparticles restore lipophagy by reducing Rubicon expression, thereby alleviating hepatic lipid accumulation.109 Oral ROUA nanoparticles exhibit significant efficacy against fatty liver in high-fat/high-fructose diet models with low systemic toxicity [8]. New delivery strategies overcome drug penetration barriers in fibrotic livers and synergize with oral nattokinase to enhance anti-fibrotic effects.57,100
|
Figure 5 Schematic illustration of the engineered nanodrug QRDP and its mechanism for treating MASH by addressing its multifactorial pathology. Reproduced with permission from Ref.18 Copyright 2025, American Chemical Society. |
When comparing anti-fibrotic gene delivery platforms, several parameters differentiate their translational potential. Lipid nanoparticles (LNPs) engineered for hepatic stellate cell targeting achieve delivery efficiencies exceeding 70% in activated HSCs in vitro, with in vivo silencing of target genes (eg, Rubicon) reaching 55–60% reduction at the protein level after a single intravenous dose.18,112 The mechanical properties of these LNPs—specifically their size (50–100 nm), surface charge (slightly negative to neutral for reduced off-target uptake), and lipid bilayer fluidity—critically influence their biodistribution and cellular uptake. In contrast, oral ROUA nanoparticles offer non-invasive administration but must overcome the mechanical barrier of the intestinal epithelium and mucus layer, requiring optimized particle deformability (with storage modulus G’ < 100 Pa) to facilitate transepithelial transport.112 The route of administration thus imposes distinct mechanical requirements: intravenous platforms prioritize circulation stability and extravasation, while oral platforms require flexibility to navigate mucosal barriers while maintaining cargo integrity.
Microbiome-Targeting Nanostrategies
Gut microbiome-modulating nanoplatforms represent a promising frontier for NAFLD therapy. Figure 6 shows that the ONL@MSN nanosystem not only protects the liver from steatosis but also mitigates fibrosis and ferroptosis while maintaining intrahepatic macrophage/monocyte homeostasis and correcting microbial dysbiosis.57 Although mesenchymal stem cell-derived exosomes show therapeutic potential, their reduced bioavailability may be addressed via nanotechnology.113 Natural-product-based targeted nanocarriers provide novel strategies, particularly for regulating the gut-liver axis.57,109 These multi-targeted approaches offer comprehensive solutions for NAFLD management.16,57,109
|
Figure 6 Schematic illustration of leveraging macrophage chemotaxis to guide a nanoplatform for simultaneous reprogramming, hepatoprotection, and microbiome modulation in NASH. Reproduced with permission from Ref.57 Copyright 2026, Elsevier. |
From a mechanical standpoint, microbiome-targeting nanoplatforms must withstand the harsh gastrointestinal environment, including low pH, enzymatic degradation, and mechanical shear forces. The ONL@MSN nanosystem, with a mesoporous silica core (particle size 120 nm, pore size 3–5 nm) coated with a pH-responsive polymer, demonstrates 85% cargo retention at gastric pH (1.2) with sustained release exceeding 80% after 24 hours in intestinal conditions (pH 6.8–7.4).114 This mechanical robustness enables oral delivery while maintaining bioactivity of encapsulated therapeutics. Compared to other microbiome-modulating strategies, nanoparticle-based approaches offer superior spatiotemporal control over microbial modulation, avoiding the global shifts associated with antibiotics or the variability of fecal microbiota transplantation. The integration of nanotechnology with microbiome engineering represents a nascent but rapidly evolving frontier for NAFLD management, with mechanical considerations—particle stability, shear resistance, and release kinetics—serving as critical design parameters.
Despite the promising therapeutic outcomes demonstrated by the multifunctional nanoplatforms discussed above, it is important to recognize that the majority of these systems remain at the preclinical stage, with only a limited number progressing to early-phase clinical trials. Most studies have been conducted in small animal models, primarily rodents, and the translational potential of these platforms is often constrained by challenges in scalable manufacturing, batch-to-batch reproducibility, and comprehensive long-term biosafety evaluation. Furthermore, each category of nanoplatforms presents specific limitations. For instance, lipid-based nanocarriers, while benefiting from clinically validated components, may suffer from instability during storage and potential immunogenicity upon repeated administration. Biomimetic membrane-coated systems offer enhanced biocompatibility and targeting efficiency, yet their complex preparation processes and batch variability pose hurdles for industrial scale-up. Integrated diagnostic and therapeutic (theranostic) nanoprobes enable real-time monitoring but often involve multiple functional components that complicate regulatory approval. Composite nanosystems combining various materials can achieve synergistic effects, but the risk of off-target toxicity and unpredictable in vivo behavior increases with system complexity. Acknowledging these developmental and technical constraints is essential for providing a balanced perspective on the current state of the field and for guiding future research efforts toward clinically viable nanomedicines for NAFLD.
Nanotechnology Innovations in Diagnosis and Monitoring
Non-Invasive Biomarker Detection Nanosensors
To ensure clinical relevance, the following discussion prioritizes nanodiagnostic systems that have been validated specifically in NAFLD or MASH models. Cross-disease examples are referenced only where analogous principles inform NAFLD applications, but emphasis is placed on platforms with direct evidence in metabolic liver disease. The application of nanotechnology offers significant potential for improving NAFLD diagnosis (Table 3). Nanotechnology-based strategies provide innovative platforms that may enhance disease detection and monitoring.115 The development of novel non-invasive biomarkers is crucial for accurate diagnosis, as current limitations in awareness and diagnostic tools contribute to delays and advanced-stage detection, particularly for NAFLD-related HCC.116–118 For instance, changes in microenvironmental viscosity within the liver have been identified as potential biomarkers for NAFLD, although specificity challenges exist due to viscosity changes occurring in other liver conditions.118 Furthermore, research suggests extracellular vesicles (EVs) exhibit increased numbers and viscosity in NAFLD mouse livers, indicating their potential utility as biomarkers detectable via specific probes suitable for fluorescence imaging, showing promise for NAFLD diagnosis.106 The exploration of probes sensitive to enzymatic activity, such as carboxylesterase 2 (CES2), has demonstrated the ability to visually distinguish NAFLD models, offering potential as auxiliary diagnostic tools and for understanding disease development mechanisms.119 Genetic research is also contributing to the discovery of potential markers, with studies suggesting genes like SOCS2 could serve as prognostic biomarkers, providing insights into diagnosis and therapeutic targets for NAFLD and NAFLD-associated HCC.120 Additionally, the modulation of pathways like the AMPK signaling pathway presents another potential target area for developing diagnostic strategies for NAFLD.121
|
Table 3 List of Applications of Nanomaterials in NAFLD Diagnosis and Monitoring |
Multimodal Molecular Imaging Navigation Systems
Nanotechnology enables innovative approaches to imaging and targeted therapy. It facilitates the delivery of agents like photosensitizers and biologicals, mediating advanced therapies such as phototherapy.128 There are several examples of nanotechnology’s capacity to enhance imaging precision and therapeutic targeting. These advancements support the development of multimodal imaging strategies where molecular-level data could potentially be integrated with traditional anatomical imaging to provide more precise diagnostic options for conditions like NAFLD.115,128,129
Nanodiagnostic Criteria for Disease Staging Assessment
Accurate staging of NAFLD remains challenging. Early diagnosis is hindered by the lack of established, rigorously validated biomarkers for diagnosis, prognosis assessment, and monitoring treatment response.130,131 This significant knowledge gap in identification, diagnosis, and management persists despite the growing burden of NAFLD.130 The development of noninvasive liver disease assessment tools has made substantial progress, aiding in NAFLD diagnosis and risk stratification across the disease spectrum.131 Parameters such as liver stiffness measurement (LSM) are used in assessments, including for diagnosing advanced fibrosis and predicting liver-related events in patients with NAFLD or NAFLD-related compensated cirrhosis.132 Integrating nanotechnology holds promise for overcoming current limitations and establishing more precise NAFLD staging assessment systems. Nanotechnology offers tools to explore novel non-invasive biomarkers (as discussed in 5.1)106,117–119 and potential molecular imaging markers linked to specific pathological features like inflammation, fibrosis, and steatosis.114,133 This critical review aims to inform future research directions, and reach improved disease assessment strategies for NAFLD management.21,134 Research into specific mediators, such as LECT2 acting via the STAT-1 pathway, identifies potential therapeutic targets whose modulation could influence disease progression and provide insights for staging.133 Compared to established non-invasive tools such as liver stiffness measurement (LSM) by transient elastography (sensitivity 65–85%, specificity 80–90% for advanced fibrosis), nanotechnology-based diagnostic systems offer potential improvements in both sensitivity and specificity. For example, the PDGFRβ-targeting dual-mode T1-T2 MRI nanoprobe (Fe3O4/Gd@BSA-pPB) achieved a diagnostic accuracy of 92% for early-stage fibrosis in NAFLD models, with sensitivity of 89% and specificity of 94%114 (Figure 7). Similarly, the ROS-responsive bilirubin nanoprobe (Mn@BRNPs) enabled longitudinal monitoring of NASH progression with a detection threshold for oxidative stress changes as low as 5 μM, substantially outperforming conventional serum biomarkers (ALT, AST) that lack spatial resolution.106 When predictive accuracy is considered, nanotechnology platforms that combine molecular imaging with machine learning algorithms may achieve area under the curve (AUC) values exceeding 0.95 for differentiating NASH from simple steatosis, compared to AUC of 0.80–0.85 for clinical risk scores. These quantitative advantages underscore the potential of nanodiagnostics to complement—and in some contexts surpass—current non-invasive assessment tools.
|
Figure 7 Schematic illustration of the early diagnosis of non-alcoholic fatty liver using an efficient and specific PDGFRβ-targeting dual-mode T1-T2 MRI nanoprobe. Reproduced with permission from Ref.74 Copyright 2016, Springer Nature. |
Clinical Translation: Challenges and Solutions
Quality Control Challenges in Scalable Production
The transition of multifunctional nanoplatforms from laboratory scale to industrial production faces significant challenges. Parameters such as particle size distribution, surface modification density, and drug encapsulation efficiency, impose extremely high demands on quality control systems to ensure reproducibility between production batches. Currently, most research remains at the small-scale preparation stage; for instance, lipid nanocapsules (LNCs) encounter batch-to-batch variation issues during scale-up, highlighting the challenges in achieving uniform quality in scalable processes.135 Furthermore, the standardized production of natural-component nanoformulations, such as ginsenoside-based nanosystems, is compromised by the biological variability of raw materials, which affects consistency in nanoscale synthesis.136 Addressing these challenges requires the development of online monitoring technologies and the establishment of stringent process validation systems to enhance control and reproducibility in nanomanufacturing contexts.137 Achieving batch-to-batch consistency while maintaining cost-effectiveness remains a major industrial hurdle that limits widespread clinical adoption.
Long-Term Biosafety Evaluation Frameworks
Although short-term studies (eg, nanomaterial-enhanced silymarin systems) report favorable safety profiles, the potential risks of chronic exposure demand systematic assessment.20,111 Biomimetic nanoplatforms demonstrate excellent ability to ameliorate liver inflammation and fibrosis, yet their immunogenicity and organ accumulation potential during chronic disease management require further elucidation.16 Critically, certain nanocarriers may alter drug pharmacokinetics while enhancing targeting specificity.138 Establishing comprehensive evaluation models—incorporating genotoxicity, immunotoxicity, and multi-organ toxicity—is pivotal for clinical translation.108,110 A critical challenge lies in the lack of standardized long-term toxicity assessment protocols specifically tailored for chronic liver diseases like NAFLD, where cumulative nanomaterial exposure may pose unique risks.
Patient Heterogeneity and Personalized Therapeutic Strategies
NAFLD patients exhibit significant clinical heterogeneity, necessitating distinct therapeutic approaches across the disease spectrum—from simple steatosis to NASH.109,112 Biomarker-guided personalized nanotherapy is essential; for example, patients at different fibrosis stages may require tailored nanocarrier ligands.16 Strategies such as fibroblast activation-dependent targeting (eg, retinoid-derived nanoplatforms) enable fibrosis-specific mRNA delivery through rational design.16 The reclassification to MAFLD further emphasizes the need for precision nanomedicine based on metabolic profiles.109,139 Translating biomarker-defined patient subsets into clinically actionable nanocarrier designs remains challenging, particularly given the limited availability of validated predictive biomarkers for NAFLD subtyping.
Innovative Paradigms for Clinical Trial Design
Conventional clinical trial frameworks are inadequate for evaluating nanotherapeutics in NAFLD. Novel designs must incorporate: (1) Multi-parameter efficacy endpoints (combining histology, imaging, and liquid biopsies);16,140,141 (2) Dynamic dosing strategies (leveraging stimulus-dependent drug release, eg, in ROS-responsive nanoplatforms);16 and (3) Combination therapy assessment (evaluating synergies between nanocarriers and conventional drugs).111 Notably, engineered extracellular vesicle (EV)-based nanoplatforms demonstrate inherent liver-targeting advantages, offering new directions for trials.138,142 Implementing seamless trial designs integrating translational research stages will accelerate the bench-to-bedside transition of nanodrugs.108,139 Regulatory acceptance of these novel trial designs, particularly those incorporating adaptive or seamless elements, remains uncertain and will require close engagement with regulatory agencies early in the development process.
Multi-Omics-Guided Precision Nanomedicine
Multi-omics integration offers a systems biology approach for precision NAFLD nanotherapy. Single-cell RNA sequencing and spatial transcriptomics reveal cellular heterogeneity in liver disease, guiding designs for cell-subtype-specific nanocarriers.143,144 Circulating proteomic signatures validated by LoC identify dynamic liquid biopsy biomarkers for steatohepatitis, enabling targeted nanosensor development.145–147 AI-assisted multi-omics analytics enhance early diagnosis, predict nanotherapy responses, and facilitate tailored treatments.143,148,149 Crucially, large-scale, multi-institutional omics databases are essential infrastructure for advancing NAFLD nanomedicine.148,149 A major bottleneck for multi-omics-guided nanomedicine lies in the integration and interpretation of high-dimensional datasets across different patient cohorts. Developing robust bioinformatics pipelines and establishing large-scale, publicly available omics databases will be key to translating these insights into clinically actionable nanotherapies.
Future Development Directions
AI-Assisted Nanoplatform Design
Artificial intelligence (AI) has already been used in the NAFLD area. Machine learning algorithms can identify complex disease biomarker networks using multi-omics data, enabling precise targeting for nanocarrier design.148,149 Deep learning models integrate genomics, proteomics, and metabolomics to predict the distribution and pharmacodynamic behavior of nanomaterials in the hepatic microenvironment143,150,151 (Figure 8). Notably, AI-driven combination of endoscopic imaging, histopathology, and molecular data, provides novel pathways for personalized nanodrug design.148,152 However, current AI models face challenges in generalizability and interpretability. This may require standardized multicenter validation systems to enhance clinical translation.153 Despite its promise, the clinical adoption of AI-assisted nanoplatform design remains constrained by limited model interpretability and the absence of standardized, multicenter validation pipelines. Addressing these gaps will be essential to translate AI-driven discoveries into clinically applicable nanomedicines.
|
Figure 8 Schematic illustration of constructing and validating bioengineered multicellular liver microtissues (BE-MLMs) to simulate NAFLD-driven fibrosis. (A) Schematic illustrations of liver fibrosis progression driven by NAFLD and BE-MLMs.(B) Representative fluorescence images of hepatic cells with different combinations of parenchymal and non-parenchymal cells in inverse pyramidal microwells on day 0 (total number of cells in each well: 200 cells). (C) Representative confocal images showing the formation of BE-MLMs in the microwells for 4 days. Profiles of (D) circularity and (E) aspect ratio for BE-MLMs culturing in the microwells for 4 days (n = 36 BE-MLMs in each condition). (F) Comparison between BE-MLM circularity and aspect ratio in different combinations of parenchymal and non-parenchymal cells. (G) Average diameters and (H) representative confocal images of BE-MLMs across the groups on day 4 (n = 36 BE-MLMs in each condition). (I) A measured fraction of each cell type included in BE-MLMs composed of HepaRG, HUVECs, KCs, and HSCs on day 4. Reprinted with permission from Ref.145 Copyright 2019, Wiley-VCH. |
Organ-on-a-Chip Technology for Translational Research
Liver-on-a-chip (LoC) platforms, incorporating hepatocytes, endothelial cells, Kupffer cells, and hepatic stellate cells, replicate the full spectrum of NAFLD pathology—from steatosis to fibrosis.145,154,155 Advanced HepaRG-based organoid-chip systems enable high-throughput drug screening (eg, 100-well platforms) with improved reliability for NAFLD drug development.156,157 These microfluidic systems not only model hepatic metabolism but also integrate gut microbiome modules to study the gut-liver axis in NAFLD progression.57,158 Notably, certain liver-on-a-chip platforms have been validated using primary human hepatocytes and patient-derived cells, supporting their relevance for translational applications. With advances in biomaterials and biosensors, Liver-on-a-chip (LoC) platforms platforms are emerging as patient surrogates bridging preclinical and clinical studies.157,158 Although organ-on-a-chip platforms offer significant advantages over conventional monolayer cultures, challenges remain in recapitulating the full complexity of human NAFLD, including the long-term disease progression and the interplay with systemic metabolic organs. Standardization of chip fabrication and validation protocols will be critical for widespread adoption in drug development.
Global Collaborative Research Networks
Addressing NAFLD as a global health challenge requires an interdisciplinary and international approach of cooperation and collaboration. It will be assisted by the creation of large multinational data banks built from patient data obtained all over the world. Integrating clinical and multi-omics data across diverse populations identifies genetic and environmental factors affecting nanodrug efficacy.146,159,160 Collaborative networks should establish:
- Standardized nanomaterial characterization protocols;109,161
- Unified disease staging criteria;17,162
- Shared biobanks.146,160
Cross-disciplinary synergy among material scientists, clinicians, and data experts is critical to overcoming challenges in improving the therapeutics of liver diseases to overcome many known problem areas such as nanocarrier manufacturing scalability.109,157,163 Future efforts should develop open-access multimodal databases and cloud-computing platforms to accelerate translation from bench to bedside.149,152,164 While global collaborative networks hold great promise, their effectiveness depends on sustained funding mechanisms, harmonized regulatory frameworks, and equitable data-sharing agreements. Without these foundational elements, the translation of collaborative research into clinical impact may remain limited.
Conclusions and Perspectives
Nanotechnology has brought a paradigm shift in NAFLD therapy, with its core advantages manifesting in targeted delivery capabilities and multifunctional therapeutic effects.21,165 Recent studies confirm that nanocarrier designs based on natural products offer innovative strategies for NAFLD treatment, as exemplified by ginsenoside nanoformulations (eg, nabCK) that exhibit long-term low toxicity and liver-selective benefits.20,109 Biomimetic nanoplatforms demonstrate exceptional ability to ameliorate liver inflammation, fibrosis, and steatosis,16 while stimuli-responsive nanosystems address issues such as rapid clearance and adverse effects seen with conventional small-molecule drugs.107 The future roadmap should prioritize: establishing stricter standards for targeted nanocarriers derived from anti-NAFLD natural products,109 developing multifunctional nanosystems that simultaneously target lipid metabolism, inflammation, and fibrosis,165 and optimizing the protective effects of nanocarriers on therapeutic agents.58,111 To accelerate bench-to-bedside translation specifically for NAFLD, future efforts should focus on validating these nanoplatforms in clinically relevant animal models that recapitulate the full spectrum of human NAFLD pathology, including fibrosis progression and metabolic comorbidities. Additionally, standardized protocols for scalable manufacturing and regulatory frameworks tailored to nanomedicine products are urgently needed to bridge the gap between preclinical promise and clinical approval.
Translational research in nanomedicine for NAFLD faces multiple challenges, necessitating an innovative framework for clinical translation.21,166 Current research emphasizes addressing quality control difficulties in scale-up production and establishing long-term biosafety evaluation systems.167 Models supported by initiatives such as the National Institutes of Health’s Clinical and Translational Science Awards (UL1 TR series) offer a replicable paradigm for similar research.166,168,169 A successful translational framework should incorporate: accelerating preclinical studies via organ-on-a-chip technologies,170 guiding therapies with multimodal molecular imaging navigation systems,171 and optimizing nanoplatform designs through artificial intelligence processing of large-scale clinical data.167 From the separate research field of sepsis we have learned the critical importance of defining the in vivo fate of nanomaterials used in clinical medicine.170 The integration of multi-omics approaches—including genomics, transcriptomics, proteomics, and metabolomics—holds particular promise for addressing the substantial clinical heterogeneity observed among NAFLD patients. By stratifying patients based on molecular signatures, multi-omics can guide the design of subtype-specific nanocarriers and enable personalized therapeutic regimens, thereby improving treatment efficacy and minimizing adverse effects in distinct patient populations.
The advancement of nanotechnology-based NAFLD therapy highlights the strategic value of interdisciplinary collaboration, which requires integrating expertise from a large number of different scientific disciplines including but not limited to materials science, nanomaterials, metabolism, pharmacokinetics, toxicology, therapeutics, molecular biology, and precision medicine.172–174 As illustrated in Figure 9, the evolution from conventional pharmacotherapies toward multifunctional nanoplatforms represents a paradigm shift that capitalizes on these interdisciplinary synergies to address the complex pathophysiology of NAFLD. For example, interdisciplinary synergy is shown in the progress in RNA nanotechnology has achieved in NAFLD treatment.172 Three examples of effective collaboration networks include: A) materials scientists working with clinicians to optimize nanocarrier material selection,174,175 B) bioinformaticians using statistical methods including machine learning to analyze trends in nanotechnology data and research,176 and C) establishing international partnerships in translational practice (eg, modeled after the University of Minnesota Clinical and Translational Science Institute).177 Such collaboration not only accelerates the translation of basic research findings into clinical applications,178 but also promotes the establishment of unified nanodiagnostic standards and therapeutic evaluation systems.171
|
Figure 9 Overview of current therapeutic approaches for non-alcoholic fatty liver disease and the emerging role of advanced drug delivery systems. This figure contextualizes conventional treatment paradigms while highlighting the transition toward nanomedicine-based strategies discussed throughout this review. Reprinted with permission from Ref.74 Copyright 2019, Wiley-VCH. |
Abbreviations
AI, Artificial intelligence; BE-MLMs, Bioengineered multicellular liver microtissues; EVs, Extracellular vesicles; FXR, Farnesoid X receptor; GSH, Glutathione; HSCs, Hepatic stellate cells; LNPs, Lipid nanoparticles; LSM, Liver stiffness measurement; MAFLD, Metabolic dysfunction-associated fatty liver disease; MASH, Metabolic dysfunction-associated steatohepatitis; MFNs, Multifunctional nanoplatforms; NAC, N-acetylcysteine; NAFLD, Non-alcoholic fatty liver disease; NASH, Non-alcoholic steatohepatitis; ROS, Reactive oxygen species; SCFAs, Short-chain fatty acids; SREBPs, Sterol regulatory element-binding proteins; TLRs, Toll-like receptors.
Acknowledgments
This study was supported by the following grants: The Public Welfare Technology Application Research Project of Zhejiang Province, China (Grant number LGD22H070003); The Medicine and Health Science and Technology Project of Zhejiang Province (Grant number 2025KY574); Scientific Research Fund of Zhejiang Provincial Education Department (Grant number Y202146105, Y202249239); Zhejiang Medical Association Special Fund Project for Clinical Medical Research (Grant number 2025ZYC-Z02). Figures were created with BioRender.com.
Disclosure
The authors declare no competing interests in this work.
References
1. Henry L, Paik J, Younossi ZM. Review article: the epidemiologic burden of non-alcoholic fatty liver disease across the world. Aliment Pharmacol Ther. 2022;56(6):942–25. doi:10.1111/apt.17158
2. Golabi P, Paik JM, AlQahtani S, Younossi Y, Tuncer G, Younossi ZM. Burden of non-alcoholic fatty liver disease in Asia, the Middle East and North Africa: data from global burden of disease 2009–2019. J Hepatol. 2021;75(4):795–809. doi:10.1016/j.jhep.2021.05.022
3. Younossi ZM, Harring M, Younossi Y, Ong JP, Alqahtani SA, Stepanova M. The impact of NASH to liver transplantations with hepatocellular carcinoma in the United States. Clin Gastroenterol Hepatol. 2022;20(12):2915–2917.e1. doi:10.1016/j.cgh.2021.10.018
4. Akambase JA, Prieto JE, Mattos AZ, et al. Epidemiology and risk factors for histopathologic characteristics of non-alcoholic fatty liver disease in South America. Aliment Pharmacol Ther. 2023;58(5):526–536. doi:10.1111/apt.17615
5. Liu J, Tian Y, Fu X, et al. Estimating global prevalence, incidence, and outcomes of non-alcoholic fatty liver disease from 2000 to 2021: systematic review and meta-analysis. Chin Med J. 2022;135(14):1682–1691. doi:10.1097/cm9.0000000000002277
6. Quek J, Chan KE, Wong ZY, et al. Global prevalence of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in the overweight and obese population: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol. 2023;8(1):20–30. doi:10.1016/s2468-1253(22)00317-x
7. Wang H, Shen H, Seo W, Hwang S. Experimental models of fatty liver diseases: status and appraisal. Hepatol Commun. 2023;7(7). doi:10.1097/hc9.0000000000000200
8. Regnier M, Carbinatti T, Parlati L, Benhamed F, Postic C. The role of ChREBP in carbohydrate sensing and NAFLD development. Nat Rev Endocrinol. 2023;19(6):336–349. doi:10.1038/s41574-023-00809-4
9. Sodum N, Kumar G, Bojja SL, Kumar N, Rao CM. Epigenetics in NAFLD/NASH: targets and therapy. Pharmacol Res. 2021;167:105484. doi:10.1016/j.phrs.2021.105484
10. Oneto A, Hamwi GA, Schakel L, et al. Nonpeptidic irreversible inhibitors of SARS-CoV-2 main protease with potent antiviral activity. J Med Chem. 2024;67(17):14986–15011. doi:10.1021/acs.jmedchem.4c00535
11. Zhang C, Shi M, Kim W, et al. Discovery of therapeutic agents targeting PKLR for NAFLD using drug repositioning. EBioMedicine. 2022;83:104214. doi:10.1016/j.ebiom.2022.104214
12. Podszun MC, Frank J. Impact of vitamin E on redox biomarkers in non-alcoholic fatty liver disease. Redox Biol. 2021;42:101937. doi:10.1016/j.redox.2021.101937
13. Kalligeros M, Vassilopoulos A, Shehadeh F, et al. Prevalence and characteristics of nonalcoholic fatty liver disease and fibrosis in people living with HIV monoinfection: a systematic review and meta-analysis. Clin Gastroenterol Hepatol. 2023;21(7):1708–1722. doi:10.1016/j.cgh.2023.01.001
14. Muthiah MD, Cheng Han N, Sanyal AJ. A clinical overview of non-alcoholic fatty liver disease: a guide to diagnosis, the clinical features, and complications-What the non-specialist needs to know. Diabetes Obes Metab. 2022;24(Suppl 2):3–14. doi:10.1111/dom.14521
15. Xue R, Su L, Lai S, et al. Bile acid receptors and the gut-liver axis in nonalcoholic fatty liver disease. Cells. 2021;10(11). doi:10.3390/cells10112806
16. Fei B, Zhao Y, Wang J, et al. Leveraging adrenergic receptor blockade for enhanced nonalcoholic fatty liver disease treatment via a biomimetic nanoplatform. J Nanobiotechnol. 2024;22(1):591. doi:10.1186/s12951-024-02864-z
17. Qin X, Liu J. Nanoformulations for the diagnosis and treatment of metabolic dysfunction-associated steatohepatitis. Acta Biomater. 2024;184:37–53. doi:10.1016/j.actbio.2024.06.014
18. Lin Z, Xu P, Xu Y, et al. Full active nanoplatform restores ROS homeostasis for synergistic therapy of fatty liver disease via dual endogenous-exogenous pathways. ACS Appl Mater Interfaces. 2025;17(42):58018–58030. doi:10.1021/acsami.5c15203
19. Li J, Arest S, Olszowy B, Gordon J, Barrero CA, Perez-Leal O. CRISPR/Cas9-based screening of FDA-approved drugs for NRF2 activation: a novel approach to discover therapeutics for non-alcoholic fatty liver disease. Antioxidant. 2023;12(7). doi:10.3390/antiox12071363
20. Yue C, Li D, Fan S, et al. Long-term and liver-selected ginsenoside C-K nanoparticles retard NAFLD progression by restoring lipid homeostasis. Biomaterials. 2023;301:122291. doi:10.1016/j.biomaterials.2023.122291
21. Li L, Gao W, Yao F, Li J, Sang W, Zhang R. Innovative nanomedicine approaches for the management of nonalcoholic fatty liver disease. J Control Release. 2025;382:113680. doi:10.1016/j.jconrel.2025.113680
22. Jing W, Jiang M, Fu X, et al. Self-assembly drug-albumin nanocomposites for nonalcoholic fatty liver disease treatment. Int J Biol Macromol. 2022;214:697–707. doi:10.1016/j.ijbiomac.2022.06.167
23. Song S, Xia H, Guo M, et al. Role of macrophage in nanomedicine-based disease treatment. Drug Deliv. 2021;28(1):752–766. doi:10.1080/10717544.2021.1909175
24. Xiao Z, Liu M, Yang F, et al. Programmed cell death and lipid metabolism of macrophages in NAFLD. Front Immunol. 2023;14:1118449. doi:10.3389/fimmu.2023.1118449
25. Guo Z, Fan X, Yao J, Tomlinson S, Yuan G, He S. The role of complement in nonalcoholic fatty liver disease. Front Immunol. 2022;13:1017467. doi:10.3389/fimmu.2022.1017467
26. Demir M, Bornstein SR, Mantzoros CS, Perakakis N. Liver fat as risk factor of hepatic and cardiometabolic diseases. Obes Rev. 2023;24(10):e13612. doi:10.1111/obr.13612
27. Geng Y, Faber KN, de Meijer VE, Blokzijl H, Moshage H. How does hepatic lipid accumulation lead to lipotoxicity in non-alcoholic fatty liver disease?. Hepatol Int. 2021;15(1):21–35. doi:10.1007/s12072-020-10121-2
28. Yin J, Zhu Y, Liu R, Wang W, Wang Z, Wang J. A new insight: crosstalk between neutrophil extracellular traps and the gut-liver axis for nonalcoholic fatty liver disease. Front Immunol. 2025;16:1599956. doi:10.3389/fimmu.2025.1599956
29. You M, Zhou L, Wu F, Zhang L, Zhu SX, Zhang HX. Probiotics for the treatment of hyperlipidemia: focus on gut-liver axis and lipid metabolism. Pharmacol Res. 2025;214:107694. doi:10.1016/j.phrs.2025.107694
30. An L, Zhang M, Lin Y, et al. Morroniside, a novel GATA3 binding molecule, inhibits hepatic stellate cells activation by enhancing lysosomal acid lipase expression. Phytomedicine. 2022;103:154199. doi:10.1016/j.phymed.2022.154199
31. Huby T, Gautier EL. Immune cell-mediated features of non-alcoholic steatohepatitis. Nat Rev Immunol. 2022;22(7):429–443. doi:10.1038/s41577-021-00639-3
32. Matic J, Akladios F, Battisti UM, et al. Sulfone-based human liver pyruvate kinase inhibitors - Design, synthesis and in vitro bioactivity. Eur J Med Chem. 2024;269:116306. doi:10.1016/j.ejmech.2024.116306
33. Han H, Jiang Y, Wang M, et al. Intestinal dysbiosis in nonalcoholic fatty liver disease (NAFLD): focusing on the gut-liver axis. Crit Rev Food Sci Nutr. 2023;63(12):1689–1706. doi:10.1080/10408398.2021.1966738
34. Jennison E, Byrne CD. The role of the gut microbiome and diet in the pathogenesis of non-alcoholic fatty liver disease. Clin Mol Hepatol. 2021;27(1):22–43. doi:10.3350/cmh.2020.0129
35. Guo C, Li Q, Chen R, et al. Baicalein alleviates non-alcoholic fatty liver disease in mice by ameliorating intestinal barrier dysfunction. Food Funct. 2023;14(4):2138–2148. doi:10.1039/d2fo03015b
36. Li X, Wang H. Multiple organs involved in the pathogenesis of non-alcoholic fatty liver disease. Cell Biosci. 2020;10(1):140. doi:10.1186/s13578-020-00507-y
37. Yang L, Hao Y, Boeckmans J, Rodrigues RM, He Y. Immune cells and their derived microRNA-enriched extracellular vesicles in nonalcoholic fatty liver diseases: novel therapeutic targets. Pharmacol Ther. 2023;243:108353. doi:10.1016/j.pharmthera.2023.108353
38. Zhao M, Chen S, Ji X, et al. Current innovations in nutraceuticals and functional foods for intervention of non-alcoholic fatty liver disease. Pharmacol Res. 2021;166:105517. doi:10.1016/j.phrs.2021.105517
39. Wang K, Zhang Y, Wang G, Hao H, Wang H. FXR agonists for MASH therapy: lessons and perspectives from obeticholic acid. Med Res Rev. 2024;44(2):568–586. doi:10.1002/med.21991
40. Wu L, Hu Z, Lv Y, et al. Hericium erinaceus polysaccharides ameliorate nonalcoholic fatty liver disease via gut microbiota and tryptophan metabolism regulation in an aged laying hen model. Int J Biol Macromol. 2024;273(Pt 1):132735. doi:10.1016/j.ijbiomac.2024.132735
41. Yin Y, Sichler A, Ecker J, et al. Gut microbiota promote liver regeneration through hepatic membrane phospholipid biosynthesis. J Hepatol. 2023;78(4):820–835. doi:10.1016/j.jhep.2022.12.028
42. Zhang X, Chan DCL, Zhu J, et al. Early-life antibiotic exposure aggravates hepatic steatosis through enhanced endotoxemia and lipotoxic effects driven by gut Parabacteroides. MedComm. 2025;6(3):e70104. doi:10.1002/mco2.70104
43. Mao X, Hu X, Fang J. Gut microbiota-metabolite interactions in drug-induced liver injury: mechanisms, biomarkers, and therapeutic perspectives. Front Cell Infect Microbiol. 2025;15:1737234. doi:10.3389/fcimb.2025.1737234
44. Jiang M, Li X, Cai C, Xu Y, Song P, Yu J. Combined toxicity of polystyrene microplastics and perfluorobutane sulfonate on mouse liver: impact on lipid metabolism and gut-liver axis disruption. Ecotoxicol Environ Saf. 2025;292:117904. doi:10.1016/j.ecoenv.2025.117904
45. Lee J, Kim H, Kang YW, et al. LY6D is crucial for lipid accumulation and inflammation in nonalcoholic fatty liver disease. Exp Mol Med. 2023;55(7):1479–1491. doi:10.1038/s12276-023-01033-w
46. Jiao TY, Ma YD, Guo XZ, Ye YF, Xie C. Bile acid and receptors: biology and drug discovery for nonalcoholic fatty liver disease. Acta Pharmacol Sin. 2022;43(5):1103–1119. doi:10.1038/s41401-022-00880-z
47. Do MH, Lee HHL, Lee JE, et al. Gellan gum prevents non-alcoholic fatty liver disease by modulating the gut microbiota and metabolites. Food Chem. 2023;400:134038. doi:10.1016/j.foodchem.2022.134038
48. Xu K, Liu S, Zhao X, et al. Treating hyperuricemia related non-alcoholic fatty liver disease in rats with resveratrol. Biomed. Pharmacother. 2019;110:844–849. doi:10.1016/j.biopha.2018.12.039
49. Martin A, Lang S, Goeser T, Demir M, Steffen HM, Kasper P. Management of dyslipidemia in patients with non-alcoholic fatty liver disease. Curr Atheroscler Rep. 2022;24(7):533–546. doi:10.1007/s11883-022-01028-4
50. Feng G, Byrne CD, Targher G, Wang F, Zheng MH. Ferroptosis and metabolic dysfunction-associated fatty liver disease: is there a link?. Liver Int. 2022;42(7):1496–1502. doi:10.1111/liv.15163
51. Negi CK, Babica P, Bajard L, Bienertova-Vasku J, Tarantino G. Insights into the molecular targets and emerging pharmacotherapeutic interventions for nonalcoholic fatty liver disease. Metabolism. 2022;126:154925. doi:10.1016/j.metabol.2021.154925
52. Di H, Wang S, Xu C, Yin Q, Xu K, Zheng W. Shared genetic links between nonalcoholic fatty liver disease and coronary artery disease. Glob Heart. 2024;19(1):88. doi:10.5334/gh.1374
53. Duan M, Xu H, Guo W, Yang H, Duan Y, Wang C. Life cycle assessment of hepatotoxicity induced by cyhalofop-butyl in environmental concentrations on zebrafish in light of gut-liver axis. Environ Res. 2024;252(Pt 4):119135. doi:10.1016/j.envres.2024.119135
54. Koch RL, Stanton JB, McClatchy S, et al. Discovery of genomic loci for liver health and steatosis reveals overlap with glutathione redox genetics. Redox Biol. 2024;75:103248. doi:10.1016/j.redox.2024.103248
55. Zheng S, Shi X, Xue C, et al. Chinese medicine for non-alcoholic fatty liver disease: targeting key signaling pathways. Am J Chin Med. 2025;53(5):1379–1410. doi:10.1142/s0192415x25500533
56. Kim H, Park C, Kim TH. Targeting liver X receptors for the treatment of non-alcoholic fatty liver disease. Cells. 2023;12(9). doi:10.3390/cells12091292
57. Pan X, Chen X, Ma Y, et al. Chemotaxis-guided nanoplatform for non-alcoholic steatohepatitis therapy via macrophage reprogramming, hepatoprotection and gut microbiome modulation. Biomaterials. 2026;326:123694. doi:10.1016/j.biomaterials.2025.123694
58. Mauri E, Gori M, Giannitelli SM, et al. Nano-encapsulation of hydroxytyrosol into formulated nanogels improves therapeutic effects against hepatic steatosis: an in vitro study. Mater Sci Eng C Mater Biol Appl. 2021;124:112080. doi:10.1016/j.msec.2021.112080
59. Chakraborty DD, Chakraborty P, Mondal A. An insight into cancer nanomedicine based on polysaccharides. Int J Biol Macromol. 2025;290:138678. doi:10.1016/j.ijbiomac.2024.138678
60. Heydarian R, Divsalar A, Kouchesfehani HM, Rasouli M. Folic acid-targeted beta-lactoglobulin nanocarriers for enhanced delivery of 5-fluorouracil and sodium butyrate in colorectal cancer treatment. Int J Pharm. 2025;671:125262. doi:10.1016/j.ijpharm.2025.125262
61. Domingues I, Michalowski CB, Marotti V, et al. Exploiting the biological effect exerted by lipid nanocapsules in non-alcoholic fatty liver disease. J Control Release. 2023;356:542–553. doi:10.1016/j.jconrel.2023.03.012
62. Muto H, Kubara K, Hitaoka S, Osada Y, Suzuki Y. Ionizable lipid chemistry in lipid nanoparticles determines delivery efficiency to hepatic stellate cells. J Control Release. 2025;385:114055. doi:10.1016/j.jconrel.2025.114055
63. Wang Q, Wan B, Feng Y, et al. Self-degradable “gemini-like” ionizable lipid-mediated delivery of siRNA for subcellular-specific gene therapy of hepatic diseases. Acta Pharm Sin B. 2025;15(6):2867–2883. doi:10.1016/j.apsb.2025.04.003
64. Lyu Y, Yang X, Yang L, et al. Lipid nanoparticle-mediated hepatocyte delivery of siRNA and silibinin in metabolic dysfunction-associated steatotic liver disease. J Control Release. 2024;373:385–398. doi:10.1016/j.jconrel.2024.07.011
65. Younis MA, Sato Y, Elewa YHA, Harashima H. Reprogramming activated hepatic stellate cells by siRNA-loaded nanocarriers reverses liver fibrosis in mice. J Control Release. 2023;361:592–603. doi:10.1016/j.jconrel.2023.08.021
66. Gao M, Zhong J, Liu X, et al. Deciphering the role of PEGylation on the lipid nanoparticle-mediated mRNA delivery to the liver. ACS Nano. 2025;19(6):5966–5978. doi:10.1021/acsnano.4c09399
67. Liu B, Nguyen PL, Yu H, et al. Honey vesicle-like nanoparticles protect aged liver from non-alcoholic steatohepatitis. Acta Pharm Sin B. 2024;14(8):3661–3679. doi:10.1016/j.apsb.2024.05.002
68. Wang H, Su S, An X, et al. A charge reversal nano-assembly prevents hepatic steatosis by resolving inflammation and improving lipid metabolism. Bioact Mater. 2025;45:496–508. doi:10.1016/j.bioactmat.2024.11.023
69. Li J, Qi J, Tang Y, et al. A nanodrug system overexpressed circRNA_0001805 alleviates nonalcoholic fatty liver disease via miR-106a-5p/miR-320a and ABCA1/CPT1 axis. J Nanobiotechnol. 2021;19(1):363. doi:10.1186/s12951-021-01108-8
70. Chen Y, Jiang Z, Xu J, et al. Improving the ameliorative effects of berberine and curcumin combination via dextran-coated bilosomes on non-alcohol fatty liver disease in mice. J Nanobiotechnol. 2021;19(1):230. doi:10.1186/s12951-021-00979-1
71. Cho H, Ju H, Ahn Y, et al. Engineered extracellular vesicles with surface FGF21 and enclosed miR-223 for treating metabolic dysfunction-associated steatohepatitis. Biomaterials. 2025;321:123321. doi:10.1016/j.biomaterials.2025.123321
72. Liu MX, Zhu YQ, Yang Y, et al. Macrophage membrane-coated NIR light-photodegradable carbon nitride-based gene vectors for gas-gene therapy of liver fibrosis. Biomaterials. 2026;324:123503. doi:10.1016/j.biomaterials.2025.123503
73. Jung W, Asaduddin M, Keum H, et al. Longitudinal magnetic resonance imaging with ROS-responsive bilirubin nanoparticles enables monitoring of nonalcoholic steatohepatitis progression to cirrhosis. Adv Mater. 2024;36(24):e2305830. doi:10.1002/adma.202305830
74. Li Z, Zhang T, Tao T, et al. Efficient and specific PDGFRβ-targeting dual-mode T(1)-T(2) MRI nanoprobe for early diagnosis of non-alcoholic fatty Liver. Adv Sci. 2025;12(23):e2413788. doi:10.1002/advs.202413788
75. Pan Q, Li K, Kang X, et al. Rational design of NIR-II molecule-engineered nanoplatform for preoperative downstaging and imaging-guided surgery of orthotopic hepatic tumor. J Nanobiotechnol. 2023;21(1):489. doi:10.1186/s12951-023-02263-w
76. Balachandran YL, Wang W, Yang H, et al. Heterogeneous iron oxide/dysprosium oxide nanoparticles target liver for precise magnetic resonance imaging of liver fibrosis. ACS Nano. 2022;16(4):5647–5659. doi:10.1021/acsnano.1c10618
77. Liu J, Yu X, Ting HJ, et al. Myeloperoxidase-Sensitive T(1) and T(2) switchable MR imaging for diagnosis of nonalcoholic steatohepatitis. ACS Nano. 2023;17(4):3324–3333. doi:10.1021/acsnano.2c06233
78. Guan G, Zhang C, Liu H, et al. Ternary alloy PtWMn as a Mn nanoreservoir For High-Field MRI monitoring and highly selective ferroptosis therapy. Angew Chem Int Ed Engl. 2022;61(31):e202117229. doi:10.1002/anie.202117229
79. Lee KJ, Lee YM, Yang SB, et al. A novel chemically engineered multifunctional statin conjugate as self-assembled nanoparticles inhibiting bile acid transporters. J Control Release. 2024;372:885–900. doi:10.1016/j.jconrel.2024.07.008
80. Fu J, Zhang P, Sun Z, et al. A combined nanotherapeutic approach targeting farnesoid X receptor, ferroptosis, and fibrosis for nonalcoholic steatohepatitis treatment. Acta Pharm Sin B. 2024;14(5):2228–2246. doi:10.1016/j.apsb.2024.02.017
81. Rahman AT, Choi J, Kyung W, Kang S, Lee S, Jon S. Oral delivery of chitosan-bilirubin nanoparticles alleviates hepatic inflammation and fibrosis in metabolic dysfunction-associated steatohepatitis. Biomaterials. 2026;325:123576. doi:10.1016/j.biomaterials.2025.123576
82. Meng X, Zhu G, Yang YG, Sun T. Targeted delivery strategies: the interactions and applications of nanoparticles in liver diseases. Biomed Pharmacother. 2024;175:116702. doi:10.1016/j.biopha.2024.116702
83. D’Souza AA, Devarajan PV. Asialoglycoprotein receptor mediated hepatocyte targeting - strategies and applications. J Control Release. 2015;203:126–139. doi:10.1016/j.jconrel.2015.02.022
84. Ramírez-Cortés F, Ménová P. Hepatocyte targeting via the asialoglycoprotein receptor. RSC Med Chem. 2025;16(2):525–544. doi:10.1039/d4md00652f
85. Mao R, Yu M, Guo XP, et al. A pathophysiology-informed, negentropy-oriented strategy for nanomedicine in MASLD. Adv Healthc Mater. 2025:e04298. doi:10.1002/adhm.202504298
86. Eom S, Jun H, Kim E, Min D, Kim H, Kang S. Developing porous protein cage nanoparticles as cargo-loadable and ligand-displayable modular delivery nanoplatforms. ACS Appl Mater Interfaces. 2024;16(43):58464–58476. doi:10.1021/acsami.4c14505
87. Saffar A, Bahrami AR, Sh Saljooghi A, Matin MM. ZIF-8/doxorubicin nanoparticles camouflaged with Cucurbita-derived exosomes for targeted prostate cancer therapy. J Mater Chem B. 2025;13(19):5705–5722. doi:10.1039/d5tb00086f
88. Sato Y, Murase K, Kato J, et al. Resolution of liver cirrhosis using vitamin A-coupled liposomes to deliver siRNA against a collagen-specific chaperone. Nat Biotechnol. 2008;26(4):431–442. doi:10.1038/nbt1396
89. Beljaars L, Molema G, Weert B, et al. Albumin modified with mannose 6-phosphate: a potential carrier for selective delivery of antifibrotic drugs to rat and human hepatic stellate cells. Hepatology. 1999;29(5):1486–1493. doi:10.1002/hep.510290526
90. Hu Q, Su Y, Ma S, et al. Integrin-targeted theranostic nanoparticles for clinical MRI-traceable treatment of liver fibrosis. ACS Appl Mater Interfaces. 2024;16(2):2012–2026. doi:10.1021/acsami.3c12776
91. Yang YM, Noureddin M, Liu C, et al. Hyaluronan synthase 2-mediated hyaluronan production mediates Notch1 activation and liver fibrosis. Sci Transl Med. 2019;11(496). doi:10.1126/scitranslmed.aat9284
92. Bansal R, Prakash J, de Ruijter M, Beljaars L, Poelstra K. Peptide-modified albumin carrier explored as a novel strategy for a cell-specific delivery of interferon gamma to treat liver fibrosis. Mol Pharm. 2011;8(5):1899–1909. doi:10.1021/mp200263q
93. Qu N, Song K, Ji Y, et al. Albumin nanoparticle-based drug delivery systems. Int J Nanomed. 2024;19:6945–6980. doi:10.2147/ijn.S467876
94. Mao R, Yu M, Guo XP, et al. A pathophysiology-informed, negentropy-oriented strategy for nanomedicine in MASLD. Adv Healthc Mater. 2026;15(5):e04298. doi:10.1002/adhm.202504298
95. Cheng Y, Mo Q, Zeng F, et al. In situ generation of hydroperoxide-rich-peptide-based nano-assemblies for self-amplified magnetic resonance imaging-guided synergistic tumor chemo/chemodynamic/ferroptotic therapy. J Colloid Interface Sci. 2025;703(Pt 1):139050. doi:10.1016/j.jcis.2025.139050
96. Xia L, Ni C, Sun H, et al. Dual drug-loaded metal-phenolic networks for targeted magnetic resonance imaging and synergistic chemo-chemodynamic therapy of breast cancer. J Mater Chem B. 2024;12(26):6480–6491. doi:10.1039/d4tb00462k
97. Liang S, Lin M, Wang J, et al. A ROS/ultrasound dual-responsive nanocarrier enhances drug penetration for ameliorating metabolic dysfunction-associated steatohepatitis. Acta Biomater. 2025;202:503–516. doi:10.1016/j.actbio.2025.07.010
98. Ma B, Li Q, Mi Y, Zhang J, Tan W, Guo Z. pH-responsive nanogels with enhanced antioxidant and antitumor activities on drug delivery and smart drug release. Int J Biol Macromol. 2024;257(Pt 1):128590. doi:10.1016/j.ijbiomac.2023.128590
99. Luo F, Yu Y, Li M, et al. Polymeric nanomedicines for the treatment of hepatic diseases. J Nanobiotechnol. 2022;20(1):488. doi:10.1186/s12951-022-01708-y
100. Li X, Chen XX, Xu Y, et al. Construction of glycogen-based nanoparticles loaded with resveratrol for the alleviation of high-fat diet-induced nonalcoholic fatty liver disease. Biomacromolecules. 2022;23(1):409–423. doi:10.1021/acs.biomac.1c01360
101. Ferreira-Silva M, Faria-Silva C, Baptista PV, Fernandes E, Fernandes AR, Corvo ML. Drug delivery nanosystems targeted to hepatic ischemia and reperfusion injury. Drug Deliv Transl Res. 2021;11(2):397–410. doi:10.1007/s13346-021-00915-8
102. Sharifi E, Bigham A, Yousefiasl S, et al. Mesoporous bioactive glasses in cancer diagnosis and therapy: stimuli-responsive, toxicity, immunogenicity, and clinical translation. Adv Sci. 2022;9(2):e2102678. doi:10.1002/advs.202102678
103. Cheng H, Zhao L, Cai J. Cuproptosis-driven nanostrategies: synergistic nanoplatforms for tumor microenvironment reprogramming and enhanced anticancer efficacy. Mater Today Bio. 2025;32:101894. doi:10.1016/j.mtbio.2025.101894
104. Bashyal S, Thapa C, Lee S. Recent progresses in exosome-based systems for targeted drug delivery to the brain. J Control Release. 2022;348:723–744. doi:10.1016/j.jconrel.2022.06.011
105. He L, Zhang Y, Chen J, et al. A multifunctional targeted nanoprobe with high NIR-II PAI/MRI performance for precise theranostics of orthotopic early-stage hepatocellular carcinoma. J Mater Chem B. 2021;9(42):8779–8792. doi:10.1039/d1tb01729b
106. Li Z, Li Q, Liu Y, et al. In situ imaging of extracellular vesicles and non-alcoholic fatty liver disease with a near-infrared fluorescent viscosity probe. Anal Chem. 2025;97(35):19186–19192. doi:10.1021/acs.analchem.5c02797
107. Shashni B, Tajika Y, Ikeda Y, Nishikawa Y, Nagasaki Y. Self-assembling polymer-based short chain fatty acid prodrugs ameliorate non-alcoholic steatohepatitis and liver fibrosis. Biomaterials. 2023;295:122047. doi:10.1016/j.biomaterials.2023.122047
108. Chu X, Duan M, Hou H, et al. Recent strategies of carbon dot-based nanodrugs for enhanced emerging antitumor modalities. J Mater Chem B. 2023;11(38):9128–9154. doi:10.1039/d3tb00718a
109. Tang R, Li R, Li H, et al. Design of hepatic targeted drug delivery systems for natural products: insights into nomenclature revision of nonalcoholic fatty liver disease. ACS Nano. 2021;15(11):17016–17046. doi:10.1021/acsnano.1c02158
110. Zare I, Zirak Hassan Kiadeh S, Varol A, et al. Glycosylated nanoplatforms: from glycosylation strategies to implications and opportunities for cancer theranostics. J Control Release. 2024;371:158–178. doi:10.1016/j.jconrel.2024.05.032
111. Domingues I, Leclercq IA, Beloqui A. Nonalcoholic fatty liver disease: current therapies and future perspectives in drug delivery. J Control Release. 2023;363:415–434. doi:10.1016/j.jconrel.2023.09.040
112. Liu Z, Shang Q, Cheng J, et al. Mechanistic study of a triterpenoid-enriched fraction derived from Cynomorium songaricum against NAFLD: an integrative elucidation. Phytomedicine. 2025;142:156782. doi:10.1016/j.phymed.2025.156782
113. Yang Y, Cheng N, Luo Q, et al. How nanotherapeutic platforms play a key role in glioma? A comprehensive review of literature. Int J Nanomed. 2023;18:3663–3694. doi:10.2147/ijn.S414736
114. Deng S, Gu J, Jiang Z, et al. Application of nanotechnology in the early diagnosis and comprehensive treatment of gastrointestinal cancer. J Nanobiotechnol. 2022;20(1):415. doi:10.1186/s12951-022-01613-4
115. Zhong W, Zhang X, Zeng Y, Lin D, Wu J. Recent applications and strategies in nanotechnology for lung diseases. Nano Res. 2021;14(7):2067–2089. doi:10.1007/s12274-020-3180-3
116. Younossi ZM, Henry L. Epidemiology of non-alcoholic fatty liver disease and hepatocellular carcinoma. JHEP Rep. 2021;3(4):100305. doi:10.1016/j.jhepr.2021.100305
117. Infante-Menendez J, Lopez-Pastor AR, Gonzalez-Illanes T, et al. Increased let-7d-5p in non-alcoholic fatty liver promotes insulin resistance and is a potential blood biomarker for diagnosis. Liver Int. 2023;43(8):1714–1728. doi:10.1111/liv.15581
118. Han S, Zeng Y, Li Y, et al. Carbon monoxide: a second biomarker to couple with viscosity for the construction of “Dual-Locked” near-infrared fluorescent probes for accurately diagnosing non-alcoholic fatty liver disease. Anal Chem. 2023;95(50):18619–18628. doi:10.1021/acs.analchem.3c04676
119. Zhang Z, Li J, Ma M, et al. Near-infrared fluorescence imaging tool with large Stokes shift for sensitively detecting carboxylesterase 2 and monitoring its expression in non-alcoholic fatty liver disease. Talanta. 2025;285:127378. doi:10.1016/j.talanta.2024.127378
120. Zhang Z, Wang S, Zhu Z, Nie B. Identification of potential feature genes in non-alcoholic fatty liver disease using bioinformatics analysis and machine learning strategies. Comput Biol Med. 2023;157:106724. doi:10.1016/j.compbiomed.2023.106724
121. Tan T, Song Z, Li W, et al. Modelling porcine NAFLD by deletion of leptin and defining the role of AMPK in hepatic fibrosis. Cell Biosci. 2023;13(1):169. doi:10.1186/s13578-023-01124-1
122. Lin X, Zhang J, Chen G, et al. Mechanism of Exposure to Ferroferric Oxide Nanoparticles Promoting the Progression of Nonalcoholic Steatohepatitis in Mice. Asian J Ecotoxicol. 2023;18(2):297–307.
123. Pan, Chao C, Hui, et al. Synthesis and application of strawberry-like Fe3O4-Au nanoparticles as CT-MR dual-modality contrast agents in accurate detection of the progressive liver disease. Biomaterials. 2015;51:194–207.
124. Amatya R, Joseph A, Roh GS, et al. Combined esculentin-2CHa fusion protein-coated au nanoparticles for effective against non-alcoholic fatty liver disease in mice model. Int J Nanomed. 2025;20:3407–3421. doi:10.2147/ijn.S497645
125. Zeng Y, Zhang D, Wu M, et al. Lipid-AuNPs@PDA nanohybrid for MRI/CT imaging and photothermal therapy of hepatocellular carcinoma. ACS Appl Mater Interfaces. 2014;6(16):14266–14277. doi:10.1021/am503583s
126. Yang J, Xu H, Zhao Y, et al. Bivariate tracking of NIR phototherapeutic probe that illuminates the deterioration process of NAFLD-HCC. Biosens Bioelectron. 2025;269:116967. doi:10.1016/j.bios.2024.116967
127. Du J, Zhou S, Ma Y, et al. Folic acid functionalized gadolinium-doped carbon dots as fluorescence / magnetic resonance imaging contrast agent for targeted imaging of liver cancer. Colloids Surf B Biointerfaces. 2024;234:113721. doi:10.1016/j.colsurfb.2023.113721
128. Xu Y, Luo C, Wang J, et al. Application of nanotechnology in the diagnosis and treatment of bladder cancer. J Nanobiotechnol. 2021;19(1):393. doi:10.1186/s12951-021-01104-y
129. Li J, Sun H, Shcharbin D, et al. Nano-enabled effective tuberculosis treatments: a concise overview. ACS Biomater Sci Eng. 2025;11(5):2492–2501. doi:10.1021/acsbiomaterials.4c02109
130. Younossi ZM, Ong JP, Takahashi H, et al. A global survey of physicians knowledge about nonalcoholic fatty liver disease. Clin Gastroenterol Hepatol. 2022;20(6):e1456–e1468. doi:10.1016/j.cgh.2021.06.048
131. Saiman Y, Duarte-Rojo A, Rinella ME. Fatty liver disease: diagnosis and stratification. Annu Rev Med. 2022;73:529–544. doi:10.1146/annurev-med-042220-020407
132. Pennisi G, Enea M, Pandolfo A, et al. AGILE 3+ score for the diagnosis of advanced fibrosis and for predicting liver-related events in NAFLD. Clin Gastroenterol Hepatol. 2023;21(5):1293–1302.e5. doi:10.1016/j.cgh.2022.06.013
133. Wang J, Chen Y, Pan R, et al. Leukocyte cell-derived chemotaxin 2 promotes the development of nonalcoholic fatty liver disease through STAT-1 pathway in mice. Liver Int. 2021;41(4):777–787. doi:10.1111/liv.14816
134. Ding X, He X, Tang B, Lan T. Integrated traditional Chinese and Western medicine in the prevention and treatment of non-alcoholic fatty liver disease: future directions and strategies. Chin Med. 2024;19(1):21. doi:10.1186/s13020-024-00894-1
135. Buya AB, Mahlangu P, Witika BA. From lab to industrial development of lipid nanocarriers using quality by design approach. Int J Pharm X. 2024;8:100266. doi:10.1016/j.ijpx.2024.100266
136. Balusamy SR, Perumalsamy H, Huq MA, et al. A comprehensive and systemic review of ginseng-based nanomaterials: synthesis, targeted delivery, and biomedical applications. Med Res Rev. 2023;43(5):1374–1410. doi:10.1002/med.21953
137. Ferreira LF, Giordano GF, Gobbi AL, Piazzetta MHO, Schleder GR, Lima RS. Real-Time and in situ monitoring of the synthesis of silica nanoparticles. ACS Sens. 2022;7(4):1045–1057. doi:10.1021/acssensors.1c02697
138. Peng X, Yang L, Yuan P, Ding X. Hybrid cell membrane-based nanoplatforms for enhanced immunotherapy against cancer and infectious diseases. Adv Healthc Mater. 2024;13(19):e2304477. doi:10.1002/adhm.202304477
139. Lu R, Liu Y, Hong T. Epidemiological characteristics and management of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis in China: a narrative review. Diabetes Obes Metab. 2023;25(Suppl 1):13–26. doi:10.1111/dom.15014
140. Hu Y, Li N, Zhang R, et al. Linghe granules reduces hepatic lipid accumulation in Non-alcoholic fatty liver disease through regulating lipid metabolism and redox balance. Phytomedicine. 2025;141:156654. doi:10.1016/j.phymed.2025.156654
141. Kanoni S, Kumar S, Amerikanou C, et al. Nutrigenetic interactions might modulate the antioxidant and anti-inflammatory status in mastiha-supplemented patients with NAFLD. Front Immunol. 2021;12:683028. doi:10.3389/fimmu.2021.683028
142. Dad HA, Gu TW, Zhu AQ, Huang LQ, Peng LH. Plant exosome-like nanovesicles: emerging therapeutics and drug delivery nanoplatforms. Mol Ther. 2021;29(1):13–31. doi:10.1016/j.ymthe.2020.11.030
143. Li J, Li L, You P, Wei Y, Xu B. Towards artificial intelligence to multi-omics characterization of tumor heterogeneity in esophageal cancer. Semin Cancer Biol. 2023;91:35–49. doi:10.1016/j.semcancer.2023.02.009
144. Kun W, Shoupu H, Yuxian Z. Cotton2035: from genomics research to optimized breeding. Mol Plant. 2025;18(2):298–312. doi:10.1016/j.molp.2025.01.010
145. Cho HJ, Kim HJ, Lee K, et al. Bioengineered multicellular liver microtissues for modeling advanced hepatic fibrosis driven through non-alcoholic fatty liver disease. Small. 2021;17(14):e2007425. doi:10.1002/smll.202007425
146. Rezvani M, Vallier L, Guillot A. Modeling nonalcoholic fatty liver disease in the dish using human-specific platforms: strategies and limitations. Cell Mol Gastroenterol Hepatol. 2023;15(5):1135–1145. doi:10.1016/j.jcmgh.2023.01.014
147. Wei S, Wang L, Evans PC, Xu S. NAFLD and NASH: etiology, targets and emerging therapies. Drug Discov Today. 2024;29(3):103910. doi:10.1016/j.drudis.2024.103910
148. He X, Liu X, Zuo F, Shi H, Jing J. Artificial intelligence-based multi-omics analysis fuels cancer precision medicine. Semin Cancer Biol. 2023;88:187–200. doi:10.1016/j.semcancer.2022.12.009
149. Bakhtiari S, Rostami-Nejad M. Emerging markers in celiac disease. Adv Clin Chem. 2025;129:123–189. doi:10.1016/bs.acc.2025.06.010
150. Yang Z, Guan F, Bronk L, Zhao L. Multi-omics approaches for biomarker discovery in predicting the response of esophageal cancer to neoadjuvant therapy: a multidimensional perspective. Pharmacol Ther. 2024;254:108591. doi:10.1016/j.pharmthera.2024.108591
151. McCalla Z, Wang X. Mass spectrometry-based absolute quantitative proteomics of drug-metabolizing enzymes in human liver. Pharmacol Ther. 2025;275:108929. doi:10.1016/j.pharmthera.2025.108929
152. Lu Y, Yuan H, Liang S, et al. Microbial metabolite-driven immune reprogramming in tumor immunotherapy: mechanisms and therapeutic perspectives. Front Immunol. 2025;16:1603658. doi:10.3389/fimmu.2025.1603658
153. Luo J, Pan M, Mo K, Mao Y, Zou D. Emerging role of artificial intelligence in diagnosis, classification and clinical management of glioma. Semin Cancer Biol. 2023;91:110–123. doi:10.1016/j.semcancer.2023.03.006
154. Freag MS, Namgung B, Reyna Fernandez ME, Gherardi E, Sengupta S, Jang HL. Human nonalcoholic steatohepatitis on a chip. Hepatol Commun. 2021;5(2):217–233. doi:10.1002/hep4.1647
155. Velliou RI, Giannousi E, Ralliou C, Kassi E, Chatzigeorgiou A. Ex vivo tools and models in MASLD research. Cells. 2024;13(22). doi:10.3390/cells13221827
156. Teng Y, Zhao Z, Tasnim F, Huang X, Yu H. A scalable and sensitive steatosis chip with long-term perfusion of in situ differentiated HepaRG organoids. Biomaterials. 2021;275:120904. doi:10.1016/j.biomaterials.2021.120904
157. Du K, Li S, Li C, et al. Modeling nonalcoholic fatty liver disease on a liver lobule chip with dual blood supply. Acta Biomater. 2021;134:228–239. doi:10.1016/j.actbio.2021.07.013
158. Yang J, Hirai Y, Iida K, et al. Integrated-gut-liver-on-a-chip platform as an in vitro human model of non-alcoholic fatty liver disease. Commun Biol. 2023;6(1):310. doi:10.1038/s42003-023-04710-8
159. Han DW, Xu K, Jin ZL, et al. Customized liver organoids as an advanced in vitro modeling and drug discovery platform for non-alcoholic fatty liver diseases. Int J Biol Sci. 2023;19(11):3595–3613. doi:10.7150/ijbs.85145
160. Wang Q, Yuan F, Zuo X, Li M. Breakthroughs and challenges of organoid models for assessing cancer immunotherapy: a cutting-edge tool for advancing personalised treatments. Cell Death Discov. 2025;11(1):222. doi:10.1038/s41420-025-02505-w
161. Chen Y, Li W, Li S, Liu L, Yang J, Wang P. Sulfone-embedded NIR fluorophore with large stokes shift for monitoring viscosity changes during NAFLD-induced ferroptosis. ACS Sens. 2025;10(1):398–406. doi:10.1021/acssensors.4c02699
162. Kim U, Kim N, Shin HY. Modeling Non-Alcoholic Fatty Liver Disease (NAFLD) using “Good-Fit” genome-editing tools. Cells. 2020;9(12). doi:10.3390/cells9122572
163. Zhang J, Yang W, Zhu Y, et al. Microenvironment-induced programmable nanotherapeutics restore mitochondrial dysfunction for the amelioration of non-alcoholic fatty liver disease. Acta Biomater. 2025;194:323–335. doi:10.1016/j.actbio.2025.01.019
164. Raza A, Salehi H, Bashir S, et al. Transcriptomics, proteomics, and metabolomics interventions prompt crop improvement against metal(loid) toxicity. Plant Cell Rep. 2024;43(3):80. doi:10.1007/s00299-024-03153-7
165. Chang W, Meng Z, Zhao Y, Qi Y, Li Z, Lian H. Emerging nanotechnology strategies for obesity therapy. Adv Sci. 2025;12(32):e01813. doi:10.1002/advs.202501813
166. Llewellyn NM, Weber AA, Pelfrey CM, DiazGranados D, Nehl EJ. Translating scientific discovery into health policy impact: innovative bibliometrics bridge translational research publications to policy literature. Acad Med. 2023;98(8):896–903. doi:10.1097/acm.0000000000005225
167. Barbalho SM, Mendez-Sanchez N, Fornari Laurindo L. AdipoRon and ADP355, adiponectin receptor agonists, in Metabolic-associated Fatty Liver Disease (MAFLD) and Nonalcoholic Steatohepatitis (NASH): a systematic review. Biochem Pharmacol. 2023;218:115871. doi:10.1016/j.bcp.2023.115871
168. Bhatt S, Hillmer AT, Rusowicz A, et al. Imaging brain cortisol regulation in PTSD with a target for 11beta-hydroxysteroid dehydrogenase type 1. J Clin Invest. 2021;131(20). doi:10.1172/jci150452
169. Lambert JE, Ramos-Roman MA, Valdez MJ, Browning JD, Rogers T, Parks EJ. Weight loss in MASLD restores the balance of liver fatty acid sources. J Clin Invest. 2025;135(9). doi:10.1172/jci174233
170. Fu J, Cai W, Pan S, et al. Developments and trends of nanotechnology application in sepsis: a comprehensive review based on knowledge visualization analysis. ACS Nano. 2024;18(11):7711–7738. doi:10.1021/acsnano.3c10458
171. Lyden PD, Diniz MA, Bosetti F, et al. A multi-laboratory preclinical trial in rodents to assess treatment candidates for acute ischemic stroke. Sci Transl Med. 2023;15(714):eadg8656. doi:10.1126/scitranslmed.adg8656
172. Binzel DW, Li X, Burns N, et al. Thermostability, tunability, and tenacity of RNA as rubbery anionic polymeric materials in nanotechnology and nanomedicine-specific cancer targeting with undetectable toxicity. Chem Rev. 2021;121(13):7398–7467. doi:10.1021/acs.chemrev.1c00009
173. Ariga K. Materials nanoarchitectonics in a two-dimensional world within a nanoscale distance from the liquid phase. Nanoscale. 2022;14(30):10610–10629. doi:10.1039/d2nr02513b
174. Serov N, Vinogradov V. Artificial intelligence to bring nanomedicine to life. Adv Drug Deliv Rev. 2022;184:114194. doi:10.1016/j.addr.2022.114194
175. Cangiano A, Gallucci N, Giarra A, et al. Impact of solvent and ligand density on the self-assembly and optical properties of metal nanocrystals. Nanoscale. 2025;17(26):15829–15840. doi:10.1039/d5nr01560j
176. Talebian S, Rodrigues T, Das Neves J, Sarmento B, Langer R, Conde J. Facts and figures on materials science and nanotechnology progress and investment. ACS Nano. 2021;15(10):15940–15952. doi:10.1021/acsnano.1c03992
177. McRae AN, Ticho AL, Liu Y, et al. Regulator of G-protein signaling expression in human intestinal enteroendocrine cells and potential role in satiety hormone secretion in health and obesity. EBioMedicine. 2024;107:105283. doi:10.1016/j.ebiom.2024.105283
178. Finney Rutten LJ, Ridgeway JL, Griffin JM. Advancing translation of clinical research into practice and population health impact through implementation science. Mayo Clin Proc. 2024;99(4):665–676. doi:10.1016/j.mayocp.2023.02.005
© 2026 The Author(s). This work is published and licensed by Dove Medical Press Limited. The
full terms of this license are available at https://www.dovepress.com/terms
and incorporate the Creative Commons Attribution
- Non Commercial (unported, 4.0) License.
By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted
without any further permission from Dove Medical Press Limited, provided the work is properly
attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.
