Journal of Hepatology

Background & Aims: Immune-mediated liver injury from immune checkpoint inhibitors (ILICI) is a major immune-related adverse event that limits cancer immunotherapy, yet its tissue-level immunobiology is poorly defined and its management is largely extrapolated from autoimmune hepatitis (AIH). We previously identified a tri-cellular CD8+ T cell-macrophage-hepatocyte injury niche in a murine model of ILICI; here, we tested whether this niche is recapitulated in human disease. Methods: We applied imaging mass cytometry with a 32-marker panel to liver biopsies from patients with ILICI (n = 12), AIH as a disease comparator (n = 14), and healthy controls (n = 2), profiling approximately 297,000 single cells across 144 regions of interest with spatially resolved detection of apoptosis (cleaved caspase-3, cC3) and pyroptosis (cleaved gasdermin D, cGSDMD). Results: We detected histiocyte-rich granulomas in ILICI consisting of macrophages and CD8+ T cells, including activated memory-effector subsets. Permutation-based spatial analysis identified CD8+ T cell-macrophage co-localization as the most frequent significant interaction in ILICI, organizing into integrated innate-adaptive cellular neighborhoods that concentrated cC3- and cGSDMD-positive cells. Descriptively, this contrasted with AIH, in which immune cells and stroma were more spatially compartmentalized. CD8+ T-cell and macrophage densities correlated with Ishak necroinflammation scores, jaundice, and granuloma formation. Conclusions: These findings provide the first single-cell spatial proteomic characterization of human ILICI in situ; they recapitulate the tri-cellular CD8-macrophage-hepatocyte niche we previously defined in a murine model and characterize ILICI as a spatially organized innate-adaptive inflammatory process, nominating myeloid signaling and CD8-macrophage interactions as candidate liver-directed targets to uncouple hepatotoxicity from anti-tumor immunity.

Nuclear bile acid (BA) signaling plays a central role in liver homeostasis and represents a major therapeutic axis in fibrotic liver diseases. The farnesoid X receptor (FXR), a master nuclear effector of BA signaling, is expressed in several liver-resident cell types, suggesting that it may regulate distinct biological programs beyond the hepatocyte (HC) compartment. Using complementary pharmacological, genetic, and computational approaches across in vitro, ex vivo, and in vivo models of mouse and human origin, we investigated the role of hepatic stellate cell (HSC) FXR (FXRHSC) in both unchallenged and injured livers, which has remained controversial. FXR is robustly expressed in both HCs and HSCs with distinct isoform distributions, and these isoforms exhibited differential capacities to activate gene expression in an HSC context. We found that the potent selective FXR agonist tropifexor triggers a transcriptional program reminiscent of that observed after partial hepatectomy and associated with HC proliferation. This cell cycle-related response was also observed in HSCs and did not require intestinal FXR expression. An HSC-specific response to tropifexor was observed for several genes, including members of the glutathione-S-transferase (GST) family or Scube1. FXRHSC was sufficient to observe the anti-fibrotic effects of tropifexor in precision-cut liver slices, an ex-vivo model of fibrosis. Finally, we identified the regulation of the chemerin-encoding gene Rarres2 as a relevant example of FXRHSC-dependent control of hepatic intercellular communication. Together, these findings identify FXRHSC as an important contributor to hepatic adaptation and therapeutic response to BA analogs and confirmed HSCs as a significant site of nuclear bile acid signaling in liver biology.

Background & AimsCurrent nucleos(t)ide analogs efficiently suppress hepatitis B virus (HBV) replication but have limited effects on viral transcription from covalently closed circular DNA (cccDNA) and integrated HBV DNA. We aimed to identify clinically applicable compounds that directly inhibit HBV transcription by screening FDA-approved drugs. Approach & ResultsScreening of 1,470 FDA-approved compounds using an HBV enhancer I/X promoter reporter system identified vorapaxar and aripiprazole as potent inhibitors of viral promoter activity. Both compounds suppressed HBV replication in HBV-producing cells, HBV-infected HepG2-hNTCP cells, and primary human hepatocytes. Aripiprazole reduced hepatocyte nuclear factor 4 (HNF4) protein levels through an ERK/JNK-dependent pathway and inhibited HBV core promoter activity, whereas vorapaxar acted independently of HNF4. Both compounds suppressed enhancer I/X promoter activity through inhibition of STAT3 signaling. Vorapaxar inhibited PAR-1-mediated SRC, EGFR, and STAT3 activation, while aripiprazole suppressed SRC-STAT3 signaling independently of EGFR. PAR-1 activation enhanced HBV transcription, whereas PAR-1 knockdown reduced promoter activity and viral RNA expression. Both compounds also reduced HBV replication in human liver chimeric mice at clinically relevant exposure levels without apparent severe toxicity. ConclusionsVorapaxar and aripiprazole suppress HBV transcription and replication through distinct host signaling pathways. These findings identify PAR-1-STAT3 signaling as a previously unrecognized regulator of HBV transcription and suggest that host-targeting approaches may complement current therapies by suppressing viral gene expression from both cccDNA and integrated HBV DNA. Impact and implicationsCurrent nucleos(t)ide analogues effectively suppress HBV reverse transcription but have limited effects on viral transcription from cccDNA and integrated HBV DNA, highlighting the need for therapies targeting viral gene expression. We identify PAR-1- STAT3 signaling as a previously unrecognized regulator of HBV transcription and demonstrate that two clinically approved drugs, vorapaxar and aripiprazole, suppress HBV replication through distinct host signaling pathways. These findings are relevant to researchers developing host-targeting antivirals and to clinicians seeking complementary therapeutic strategies beyond current nucleos(t)ide analogue therapy. Although further clinical validation and combination studies are required, our results provide a rationale for repurposing approved drugs and for developing transcription-targeting therapies that may complement existing treatments for chronic hepatitis B. HighlightsO_LIVorapaxar and aripiprazole suppress HBV through distinct host pathways. C_LIO_LIBoth drugs inhibit HBV replication in vitro and in humanized liver mice. C_LIO_LIPAR-1 inhibition reduces HBV transcription by blocking SRC/EGFR/STAT3 signaling. C_LIO_LIPAR-1-STAT3 signaling is a novel regulator of HBV transcription. C_LIO_LIHost-targeting antiviral therapy complements current HBV treatment. C_LI

Alpha-1 antitrypsin deficiency (AATD) caused by the Z variant leads to hepatic accumulation of misfolded AAT polymers and liver disease. Although proteotoxic stress is well established, its impact on lipid metabolism, mitochondrial function, and organelle homeostasis remains incompletely understood. The effects of Z-AAT accumulation were investigated in Z-HepG2 cells and 3D patient-derived ZZ hepatic organoids through protein aggregation, lipid storage, mitochondrial structure and function, peroxisomal dynamics, and comprehensive transcriptomic and proteomic analyses. Z-AAT expression led to intracellular polymer accumulation and reduced secretion, together with lipid accumulation, mitochondrial structural abnormalities, increased mitochondrial number but impaired respiratory capacity. Metabolic profiling revealed reduced oxidative phosphorylation and partial reliance on glucose metabolism. Peroxisomes displayed increased mass, consistent with altered lipid handling. Multi-omics analysis demonstrated widespread transcriptional and proteomic reprogramming related to protein synthesis, lipid metabolism, and mitochondrial function. Proteomic analysis confirmed proteotoxic stress-induced mitochondrial dysfunction, impaired lipid handling, and activation of stress response, inflammatory and vesicular trafficking pathways. Importantly, lipid supplementation elicited adaptive mitochondrial transcriptional responses in control cells, whereas Z-HepG2 cells showed a blunted response to lipid challenge. In conclusion, Z-AAT accumulation disrupts hepatic lipid processing and impaired mitochondrial and peroxisomal homeostasis, producing diminished metabolic flexibility likely contributing to AATD-associated liver disease.

Background: Metabolic adaptation is a recognized feature of therapeutic resistance in hepatocellular carcinoma (HCC), but it is unclear whether transcriptional states exposed during acquired resistance are restricted to drug adaptation or reflect broader aggressive tumor biology. We tested whether metabolic programs derived from a lenvatinib-resistance model identify a clinically adverse transcriptional state in an independent HCC patient cohort. Methods: The discovery framework was based on GSE186191, comprising parental and acquired lenvatinib-resistant Hep3B and Huh7 cells. A pre-specified 33-gene lipid-source ledger served as a biological anchor, and three discovery-derived programs, MYC Targets V2, mTORC1 Signaling, and Fatty Acid Metabolism, were frozen before patient-level evaluation. In TCGA-LIHC, single-sample enrichment scores for the three programs were population-standardized and summed to generate an integrated metabolic score. Overall survival was assessed by Kaplan-Meier and Cox analyses. Whole-transcriptome differences between high- and low-score tumors were characterized by preranked gene set enrichment analysis (GSEA). Results: The survival cohort comprised 282 patients (118 deaths), with 141 patients in each median-defined score group. High-score patients had shorter overall survival (log-rank P=0.000419). The continuous score was associated with mortality in univariable analysis (HR 1.86, 95% CI 1.33-2.61; P=0.000293) and in the frozen model adjusted for age, sex, and stage indicators (HR 1.93, 95% CI 1.35-2.76; P=0.000350; n=277). In 327 primary tumors, Fatty Acid Metabolism was strongly depleted in high-score tumors (NES -2.06; FDR<0.001). MYC Targets V2 (NES 1.18; FDR=0.232) and mTORC1 Signaling (NES 1.11; FDR=0.229) showed positive directional enrichment without FDR significance. Conclusions: A lenvatinib-resistance-derived transcriptional program is associated with an adverse-survival state in HCC. The strongest patient-level pathway feature is depletion of canonical fatty-acid metabolism, accompanied by directional MYC/mTORC1 features rather than statistically established pathway activation. These findings support a testable model of metabolic identity remodeling but do not establish causality or clinical prediction of lenvatinib response.

Background: To date, no precision oncology approach has been established for HCC. Despite the diverse underlying causes, HCC development exhibits a uniform pathophysiology characterised by chronic hyper-proliferation, resulting from hepatocyte apoptosis and compensatory liver regeneration. This chronic hyper-proliferative pressure, termed regeneration stress, drives genomic instability during HCC onset, yet its therapeutic potential remains poorly explored. This study aimed to identify targetable vulnerabilities tied to regeneration stress and establish clinically applicable markers for treatment stratification. Methods: Weighted gene co-expression network analysis (WGCNA) was applied on external bulk RNA-seq datasets to define a LIVer REgeneration Stress Signature (LIVRESS). The signature was functionally validated using HCC patient-derived organoids (HCC-Org), and vulnerabilities were mapped using mid-throughput drug screening, single-molecule and single-cell assays, and multi-omic integration. Results: High LIVRESS scores, characterised by enrichment in replication, mitotic and DNA damage repair pathways, identified a subset of HCC patients with aggressive disease and poorer survival across aetiologies. HCC-Org with high LIVRESS scores displayed exquisite sensitivity to multiple inhibitors of the checkpoint kinase ATR. Although HCC-Org models exhibited a baseline reduction in replication fork speed, sensitivity to ATR inhibitor (ATRi) was decoupled from replication fork dynamics and rather linked to intrinsic mitotic instability. ATR inhibition triggers mitotic failure and apoptosis in LIVRESSHigh HCC-Org. This killing effect was significantly potentiated by combining ATRi with PARPi or WEE1i. Multi-omic integration identified KPNA2 as a surrogate biomarker of ATRi sensitivity. Conclusion: Our findings demonstrate that a subset of HCC-Org, characterised by high liver regeneration-associated stress, is vulnerable to ATRi-based therapies. By focusing on a comprehensive regenerative stress model, we establish a framework to stratify HCC patients and implement biomarker-driven, ATR-based therapies for HCC patients with advanced disease. Impact and implications: Regeneration stress is a key factor that drives genomic instability in HCC, providing a basis for the LIVRESS to identify patients dependent on ATR-mediated checkpoints. These findings reveal a conceptual shift for researchers and trialists: ATRi efficacy is decoupled from replication fork dynamics and instead leverages mitotic fragility. Practically, the LIVRESS and its IHC surrogate marker (KPNA2) offer a scalable roadmap for physicians to improve patient stratification in ATRi-based precision oncology trials. While requiring prospective validation, these results pave the way toward biomarker-driven therapies for advanced HCC.

Background Alcohol-associated liver disease (ALD) has emerged as a major cause of chronic liver disease and liver-related mortality in China. This study aimed to project the future burden of ALD in Chinese adults from 2020 to 2050, including prevalence of ALD, number of alcoholic steatohepatitis (ASH) cases, incident hepatocellular carcinoma (HCC) cases, liver transplantation (LT) demand, liver-related deaths, and disability-adjusted life years (DALYs). Methods We developed an agent-based state-transition microsimulation model with yearly cycles and a lifetime horizon. The model simulated 5,678,912 representative Chinese adults (mean age 36.2 years, 51.2% male). Health states included no steatosis, alcohol-associated steatotic liver, ASH, fibrosis stages F0-F4, decompensated cirrhosis, HCC, LT, and liver-related death. Model inputs were derived from the China Kadoorie Biobank, Global Burden of Disease Study 2021, China's national surveys, published meta-analyses, and transplant registry data. Projections incorporated demographic shifts, alcohol consumption trends, and calibrated transition probabilities. Uncertainty was assessed via 1,000 Monte Carlo simulations generating 95% uncertainty intervals. Results ALD prevalence was projected to increase from 4.8% (55 million individuals) in 2020 to 8.5% (94 million individuals) by 2050. ASH cases rose from approximately 18 million to 20 million. Annual incident HCC cases nearly doubled from 20,500 in 2020-2025 to 45,200 by 2046-2050. LT demand quadrupled from 2,300 to 9,800 cases. Liver-related deaths increased from 50,000 in 2020 to 85,000 in 2050, while DALYs rose from 1.5 million to 2.6 million. Conclusions In the absence of strengthened alcohol control policies, ALD will impose a substantial and growing burden on China's health system by 2050, with marked increases in HCC incidence, LT demand, and liver-related mortality.

Background: The rising burden of metabolic dysfunction-associated steatotic liver disease (MASLD)-associated hepatocellular carcinoma (HCC) underscores the need for innovative therapeutic strategies. Methods: We integrated RNA-seq fusion detection, immunopeptidomics, and proteogenomics to systematically prioritize tumor-specific neoantigen candidates arising from gene fusions in MASLD-HCC. Results: We elucidated a landscape of private, clonally expressed fusions, and identified a previously unrecognized class of predicted phosphorylated fusion-neoepitopes. Cross-tumor proteomic analysis revealed that these phospho-motifs are present across malignancies, providing a broader context for their biological relevance. Importantly, fusion-positive tumors display immunosuppressive microenvironments, highlighting the need for future therapeutic strategies that combine fusion-targeted immunotherapy with approaches that overcome T-cell dysfunction. Conclusions: This study establishes a discovery pipeline and publicly available resource for fusion-derived phospho-neoepitopes in MASLD-HCC. The identified candidates provide a prioritized framework to guide and accelerate rigorous functional immunogenicity testing for future clinical validation.

Metabolic dysfunction-associated steatotic liver disease (MASLD), the leading cause of chronic liver pathologies worldwide, represents a growing clinical burden. Its diagnosis remains reliant on liver biopsy that limits early detection and the ability to capture molecular changes across disease progression. A systematic understanding of stage-dependent gene expression changes is essential to identify biomarkers and effectively characterize disease mechanisms. Therefore recent studies provided databases for searching genes as well as prediction of multi-gene signatures for disease progression. However, there is still a need for interactive and comprehensive meta-analysis of datasets of MASLD patients with available histological metadata. Herein, we performed a meta-analysis of RNA-seq datasets using NAFLD Activity Score (NAS; n = 897) and fibrosis stage (n = 856) upon conducting pairwise comparisons across histological stages and identified differentially expressed genes associated with disease progression. Most importantly, we provide our findings via a dedicated web server, the MASLD-META NETWORK (https://masld.scilicium.com), enabling users to interactively explore meta-analysis results across diverse network modalities. In addition, we characterized gene expression dynamics across increasing disease stages to identify consistent progression-associated pathways using Louvain clustering. Network-based parameters such as centrality in combination with meta-analysis scores further highlighted central genes and pathways implicated in disease mechanisms. Accordingly, MASLD-META NETWORK enabled an integrative reassessment of recently published gene signatures, identifying COL1A1, COL3A1, THBS2, FBLN5, and PDGFA as the most central genes, and SULF2, MMP14, IL32, GPNMB, and COL3A1 as candidate markers of earlier transcriptional alterations. Network analysis of MASLD associated biological modules further identified LAMA2 and LAMA3 as previously unrecognized central candidate targets.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major cause of chronic liver disease, with weight loss as the pivotal therapeutic strategy. However, the metabolic and molecular adaptations underlying rapid weight loss remain incompletely defined. In this pilot study, women with obesity and MASLD but without diabetes consumed a very low-calorie diet (VLCD) for 8 weeks. Clinical parameters, hepatic steatosis measured by controlled attenuation parameter (CAP), circulating metabolites, and microRNAs (miRs) were assessed before and after the dietary intervention. Integrated correlation and hierarchical clustering analyses were performed to identify molecular networks associated with clinical improvement. VLCD was well tolerated, resulting in significant weight loss (~11%) with ~80% adherence. Significant improvements in metabolic parameters were observed, including fat mass, waist circumference, blood pressure, insulinemia, HOMA-IR, HbA1c, and triglycerides, with unchanged liver enzymes. Hepatic steatosis decreased markedly, as indicated by a reduction in CAP, while stiffness remained unchanged. Metabolomic profiling revealed elevated ketone bodies and broad reductions in amino acid levels, consistent with enhanced fatty acid oxidation and a catabolic metabolic state. Correlation analysis identified distinct metabolite signatures associated with hepatic steatosis, with changes in CAP positively associated with changes in amino acids and inversely associated with changes in ketone bodies and tricarboxylic acid cycle intermediates. Circulating miRs underwent selective rather than global remodeling, with only a limited subset showing strong associations with clinical parameters, including CAP and HOMA-IR. Specifically, VLCD altered the circulating levels of miR-148a-3p, miR-140-3p, miR-10b-5p, and miR-345-5p. Integration of metabolomic and miR datasets identified coordinated metabolite-miR modules involving glucose metabolism, branched-chain amino acid catabolism, mitochondrial metabolism, purine metabolism, microbial metabolites, and cellular redox pathways. These findings demonstrate that improvement in hepatic steatosis during VLCD-induced weight loss is accompanied by coordinated remodeling of circulating metabolite-miR networks. Integrated multi-omics analysis identifies candidate molecular signatures associated with metabolic adaptation and highlights circulating miR-metabolite modules as potential biomarkers of therapeutic response in MASLD.

More than two million deaths annually are attributed to liver-related conditions, making primary human hepatocytes (PHH) an invaluable in vitro model for studying liver pathophysiology and the molecular mechanisms underlying hepatic diseases. However, because PHH do not proliferate in culture, CRISPR gene editing has been highly inefficient. Here, we report lipofection- and lentivirus-mediated protocols for CRISPR-Cas9 delivery in mouse-passaged primary human hepatocytes (mpPHH), a system that enables PHH expansion in liver-humanized mice. We achieve robust gene editing efficiencies exceeding 90% in mpPHH while maintaining cell viability. We demonstrate the utility of these protocols by disrupting CYP3A4 to impair xenobiotic metabolism and by showing that edited mpPHH efficiently engraft and expand in mice, generating liver-humanized animals. We establish the feasibility of arrayed CRISPR screening in mpPHH using an 85-gene screen to identify host factors influencing hepatitis B virus (HBV) infection, and validate key findings in humanized mice by targeting the HBV entry receptor SLC10A1 (NTCP), which reduced viral infection in vivo. Our methodology enables scalable genetic manipulation of mpPHH, opening new avenues for HBV research and liver disease modeling.

Background: Focal liver lesions (FLLs) encompass a wide spectrum of benign and malignant pathologies, and accurate diagnosis is essential for appropriate management. Although advances in imaging have improved lesion characterization, histopathologic assessment remains the diagnostic gold standard for indeterminate lesions. Data on the histopathologic spectrum and diagnostic utility of ultrasound-guided percutaneous liver biopsy (US-PLB) in sub-Saharan Africa (SSA) are limited. This study aimed to characterize the histopathologic findings of US-PLB performed for FLLs at a tertiary referral center in SSA and to identify factors associated with hepatocellular carcinoma (HCC). Methods: We conducted a retrospective observational study of adult patients ([&ge;]18 years) who underwent US-PLB for FLL between January 2021 and December 2024 at Adera Medical and Surgical Center. Patients with indeterminate pathology results, incomplete records, biopsies performed for diffuse liver disease, or lesions classified as LI-RADS 1, 2, or 5 were excluded. Demographic, clinical, laboratory, imaging, histopathologic, and outcome data were extracted from medical records. Descriptive statistics were used to summarize patient characteristics and histopathologic diagnoses. Logistic regression analysis was performed to identify factors associated with HCC. Results: A total of 119 were included in the final analysis. The median age was 56 years (IQR 45-65), and 59.7% were male. No major biopsy-related complications were reported. HCC was the most common histopathologic diagnosis, accounting for 42.9% of cases, followed by secondary metastatic tumors (15.9%) and regenerative nodules (15.9%). Other diagnoses included chronic hepatitis (8.4%), cholangiocarcinoma (5.9%), and hepatic abscess (3.4%). Hepatitis B virus (HBV) and hepatitis C virus (HCV) infections were present in 14.3% and 12.4% of patients, respectively. On multivariate analysis, HBV infection (AOR 7.85, 95% CI 1.45-42.60; p=0.017), HCV infection (AOR 9.03, 95% CI 1.41-57.76; p=0.020), and larger tumor size (AOR 1.27, 95% CI 1.11-1.46; p<0.01) were significantly associated with HCC. Conclusion: Ultrasound-guided percutaneous liver biopsy demonstrated a favorable safety profile for the evaluation of FLL. HCC was the predominant histopathologic diagnosis, reflecting the substantial burden of primary liver cancer in this setting. Chronic viral hepatitis and larger tumor size were significantly associated with HCC. These findings support the continued role of US-PLB in the diagnostic evaluation of indeterminate focal liver lesions and underscores the importance of viral hepatitis prevention, surveillance, and early detection strategies in sub-Saharan Africa.

Background & Aims: Fatigue is a central symptom of chronic liver disease (CLD), substantially impacting health-related quality of life (HRQoL). This study aimed to further understand CLD symptomatology, including fatigue, and its impact on HRQoL from a patient perspective. Methods: Abbott Global Assessment of Patients unmet needs (aGAP) was a multinational, cross-sectional survey in adults with compensated CLD in China, India and Mexico, conducted between July and November 2024. Adult participants who self-reported that they had physician-diagnosed CLD and were experiencing fatigue completed a quantitative survey to assess symptom burden and included three HRQoL patient-reported outcome (PRO) questionnaires (Patient-Reported Outcomes Measurement Information System [PROMIS]-29+2, Work Productivity and Activity Impairment - Specific Health Problem version 2.0 [WPAI: SHP], Multidimensional Fatigue Inventory [MFI]). Results: Overall, 505 participants (China: 200; Mexico: 105; India: 200) completed the study. Participants reported that their CLD-related fatigue sometimes, often or always affected their self-esteem/confidence (45.1%) and ability to maintain or acquire new employment (38.6%). Most participants reported moderate (51.3%) or serious (26.9%) fatigue, with 33.5% experiencing fatigue every day or almost every day. Many participants felt their social life was negatively impacted by their fatigue (47.3%) and that there were related financial difficulties (53.9%). Use of validated PRO tools demonstrated severe fatigue (MFI: overall mean [SD] 13.9 [3.4] general fatigue and 13.4 [3.6] physical fatigue) as well as substantial levels of work and activity impairment (WPAI: SHP overall mean [SD] 53.0 [26.4]) and high levels of anxiety, pain interference, depression and sleep interference (PROMIS T-scores [&ge;]54). Conclusions: Fatigue has a substantial impact on HRQoL among adults with CLD across several countries, highlighting a global unmet need for targeted interventions to effectively identify and manage the condition.

Background Non-alcoholic fatty liver disease (NAFLD) has become a common metabolic disorder in paediatric age groups and is a major contributor to the burden of health economics. However, there is a lack of comprehensive data on the prevalence of this condition among children. Methods English language literature published from inception until April 2025 was searched from the electronic databases, i.e., PubMed/Medline, Scopus, Embase, and CINAHL. Original data published in any form that reported NAFLD prevalence among children and/or adolescents in India were included. The subgroup analysis of prevalence was done based on the risk category, i.e., average risk group and high risk group (obesity or overweight, metabolic syndrome, etc.). The prevalence estimates were pooled using the random-effects model. Results A total of 11 studies (six in high-risk populations and 5 in the average-risk general population) comprising data from 3512 individuals were found eligible and were included. The overall pooled estimate of NAFLD prevalence among the children and adolescents was 35.4% (95% CI: 19.7% to 52.9%) with very high heterogeneity(I2=99.0%). The pooled prevalence of NAFLD among average/low risk children and adolescents was 10.7% (95%CI: 5.2% to 20.5%) with high heterogeneity across the studies (I2= 96.6%, p=0.001) whereas the pooled prevalence of NAFLD in high risk overweight/obese children and adolescents was found to be 59.7% (95% CI:55.2% to 64.1%) with moderate heterogeneity across the studies (I2=50.90%; H2=2.04; Q (5) = 10.03; p=0.07) Conclusion This systematic review demonstrates that non-alcoholic fatty liver disease (NAFLD) poses a growing health concern among Indian children and adolescents, as 1 out of 3 children/adolescents is suffering from it, with a disproportionately high burden observed in those who are overweight or obese.

The liver is organized into tightly regulated zones with distinct metabolic functions but zonation erodes with age. Cellular senescence contributes to aging and liver diseases, however, its impact on aging biology is ill-defined. As part of The Cellular Senescence Network Consortium, we used multiple spatial transcriptomics approaches (GeoMx, Visium, CosMx) with snRNA-seq to profile senescence signatures, zonation markers, and metabolic pathways in livers from wild-type (WT) mice of multiple ages. We observed a loss of canonical zone signatures in aged mouse livers characterized by "expansion" of midlobular (zone 2) marker gene expression, accompanied by diminished expression of zone 3 marker genes by middle-age (18 months), indicative of loss of cell identity. Multiple analytic approaches identified distinct age-, zone- and sex-specific senescence signatures, which were significantly associated with zonation markers changes. This was recapitulated in Ercc1 mutant models of accelerated senescence, supporting a causal role of senescent cells in liver aging. A "no-zone" hepatocyte-like cluster expanded with age and with the strongest Senescence-Associated Secretory Phenotype (SASP) profile. Gene expression profiles from senescent hepatocytes implicate decreased WNT signaling and increased BMP as contributing to age-related loss of zonation. Together, these data elucidate the role of senescent cells in driving aging biology in non-diseased liver through disruption of cell:cell signaling and the loss of metabolic and cell identity gene expression necessary for hepatocyte function.

Background. Type 2 diabetes (T2D) and coronary artery disease (CAD) frequently co-occur, yet the biological pathways that jointly determine risk remain incompletely understood. Most genetic studies have examined shared risk from a single-disease perspective, limiting insight into the mechanisms that generate discordant risk between conditions. Methods. We applied PLACO to multi-ancestry GWAS data of T2D and CAD to identify shared loci, prioritising shared causal signals using colocalisation. Shared variants were clustered by their associations with 77 cardiometabolic traits, and cluster-specific genetic risk scores (GRS) were tested for association with 17 clinical biomarkers and 1,254 binary outcomes in 378,772 UK Biobank (UKB) participants. Two-sample Mendelian randomisation (MR) was used to test the causal role of liver fat. Results. We identified 149 loci shared between T2D and CAD; most novel loci had discordant effects (35 of 42), in contrast to the predominantly concordant signals reported previously. Clustering 187 independent shared variants revealed seven mechanistic clusters, three of them centred on liver fat and defined by discordant T2D?CAD effects. Enrichment analyses and cluster-GRS associations in UKB highlight associations between higher liver fat and T2D risk with a cardioprotective lipid profile and reduced CAD risk. Genetically higher liver fat increased T2D risk but lowered CAD risk in MR analyses; partitioning liver fat instruments by their effect on ApoB-containing lipoproteins indicates that the CAD effects are determined more by effects of circulating ApoB rather than liver fat itself. Conclusions. Liver fat largely sets the direction of T2D risk, whereas the fate of that lipid, retained in the liver with low circulating ApoB or exported as ApoB-containing lipoproteins, sets the direction of CAD risk. This liver-centric partitioning provides a mechanistic framework for the discordant cardiometabolic effects of hepatic lipid and lipid-lowering pathways, with implications for precision prevention.

Obesity is a global epidemic characterized by metabolic dysfunction, with white adipose tissue playing a pivotal role in these processes. Noncoding RNAs, such as long non-coding RNAs (lncRNAs) and short non-coding RNAs (e.g., microRNAs), have been identified as an emerging class of regulatory molecules that can influence metabolic function. Here, the Dleu2/miR-15a/16-1 cluster (known as 13q14-Minimal Deleted Region, i.e., MDR), which encodes the lncRNA Dleu2 and miR-15a/16-1, a previously unrecognized player in metabolic function, is shown to contribute to obesity and insulin resistance. Using a combination of phenotypic and molecular approaches, this study establishes that MDR governs metabolic regulation for the first time. In a nutshell, this study identifies a new role of a lncRNA-miRNA cluster, previously implicated exclusively in cancer, in the regulation of obesity, thereby extending its biological significance beyond oncology. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=184 SRC="FIGDIR/small/745519v1_ufig1.gif" ALT="Figure 1"> View larger version (68K): org.highwire.dtl.DTLVardef@424a1borg.highwire.dtl.DTLVardef@f6e3eorg.highwire.dtl.DTLVardef@10ebf0borg.highwire.dtl.DTLVardef@120803c_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIDeletion of MDR contributes to obesity, insulin resistance, and impaired energy metabolism C_LIO_LILoss of MDR reduces circulating adiponectin levels, indicating metabolic dysfunction C_LIO_LIMDR regulates satiety signaling in visceral adipose tissue and increases serum leptin levels C_LIO_LIMDR modulates several unrecognized new transcriptional regulators in obesity C_LIO_LIFirst evidence to establish the metabolic role of MDR beyond cancer biology C_LI

Excessive alcohol intake is frequently associated with hypertriglyceridemia, a condition that increases the risk of severe complications including acute pancreatitis and cardiovascular disease. The very low-density lipoprotein (VLDL) receptor (VLDLR) promotes uptake of apoE-containing VLDL particles by peripheral tissues and plays an important role in maintaining plasma triglyceride (TG) homeostasis. Brown adipose tissue (BAT) is a major metabolic organ that contributes to circulating lipid clearance during thermogenic activation. It was reported that cold-induced thermogenesis upregulates VLDLR expression in BAT and reduces plasma TG via VLDL uptake. However, whether BAT VLDLR-mediated VLDL uptake regulates alcohol-induced hypertriglyceridemia remains unknown. Here, we generated BAT-specific fatty acid synthase (FASN) knockout mice (FASNBKO) and subjected them to binge and acute-on-chronic alcohol feeding paradigms. We found that BAT FASN deficiency enhanced thermogenic function and promoted VLDL uptake, resulting in attenuation of alcohol-induced elevations in plasma TG. Consistent with these findings, pharmacological inhibition of FASN by TVB3664 treatment in differentiated brown adipocytes (bADs) increased thermogenic gene expression and VLDL uptake under both control and alcohol-exposed conditions. In addition, FASNBKO mice were protected from alcohol-induced hepatic steatosis, which was accompanied by increased hepatic AMP-activated-protein kinase (AMPK) activation and enhanced {beta}-oxidation. Furthermore, FASNBKO mice exhibited upregulated FGF21 mRNA expression in the BAT and elevated circulating FGF21 levels. Similarly, TVB3664-treated differentiated bADs showed higher FGF21 expression and increased FGF21 content in culture medium. Taken together, these findings identify the important role of brown adipocyte FASN in regulating thermogenic function and TG homeostasis during alcohol exposure and suggest that enhancing thermogenic lipid utilization in BAT may represent a potential therapeutic strategy for mitigating alcohol-associated increases in plasma TG and hepatic fat accumulation.

Background and AimsPregnancy requires dynamic, stage-specific adaptations in maternal liver metabolism and growth to sustain fetal development while preserving systemic homeostasis. Estrogen signaling, which significantly increases during pregnancy, is primarily mediated in hepatocytes by estrogen receptor (ER). Although hepatic ER regulates female liver metabolism under non-pregnant conditions, its role in pregnancy-induced hepatic remodeling remains unclear. MethodsWe studied non-pregnant and pregnant control and liver-specific ER knockout (LERKO) mice across gestational stages using longitudinal physiological measurements, liver transcriptomics, targeted metabolomics, histological assessment of cell proliferation, and metabolic phenotyping. ResultsIn control mice, pregnancy elicited sequential hepatic remodeling characterized by early induction of cell-cycle programs, a mid-gestational peak in hepatocyte proliferation with transient suppression of selected metabolic pathways, and late reactivation of specific metabolic programs. Chronic hepatic ER deficiency alters this temporal pattern. LERKO livers showed premature activation of proliferative and anabolic transcriptional programs, changes in amino acid- and fatty acid-related metabolic pathways, and altered temporal regulation of AKT-mTORC1-related signaling. At mid-gestation, LERKO mice displayed reduced hepatocyte proliferation, altered expression of metabolic and insulin-related genes, blunted gestational glucose adaptation without overt evidence of systemic insulin resistance, and changes in the light/dark-phase metabolic patterns. ConclusionsThese findings suggest that hepatic ER is required for the appropriate stage-specific coupling of liver growth, metabolic remodeling, and insulin-responsive signaling during pregnancy. Its loss is associated with gestational hepatic maladaptation and systemic metabolic phenotypes, providing a framework for investigating estrogen-dependent mechanisms underlying pregnancy-associated metabolic and liver disorders. HighlightsHepatic ER is required for stage-specific liver remodeling during pregnancy. Loss of hepatic ER alters temporal coupling of liver growth and metabolism. LERKO mice show early changes in amino acid- and fatty acid-related pathways. Hepatic ER loss reduces proliferation and alters gestational glucose adaptation. Hepatic ER loss is associated with altered light/dark-phase metabolic organization. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=80 SRC="FIGDIR/small/743939v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@d52bborg.highwire.dtl.DTLVardef@b27511org.highwire.dtl.DTLVardef@23b286org.highwire.dtl.DTLVardef@19d9314_HPS_FORMAT_FIGEXP M_FIG C_FIG

BACKGROUND: Increased left ventricular mass (LVM) at a single time point after heart transplantation (HT) predicts future adverse outcomes. However, dynamic changes in LVM could have better biological relevance and reflect adverse graft remodeling (AGR). The prognostic significance of such serial changes has not been studied. METHODS: Using an automated, electronic health record-based institutional data infrastructure, we studied 439 HT recipients with 5,563 LVM measurements. Separate Bayesian joint models estimated the simultaneous associations of current LVM and its instantaneous rate of change with graft dysfunction (GD) and mortality. A joint-model-derived remodeling score combining patient-specific deviations in LVM and slope was dichotomized to define AGR and non-AGR groups. A mixed-effects analysis of all clinical variables was performed to assess associations with LVM both between and within patients. An independent cohort of 35 patients with 79 surveillance-biopsy RNA-sequencing samples was used to examine early stress-responsive pathways associated with the remodeling score. RESULTS: LVM declined by approximately 7 g/year after transplantation, with regression attenuating over time. Sixty patients (13.7%) had GD, and 75 (17.1%) died. Higher LVM was associated with subsequent GD (hazard ratio [HR] per 10 g, 1.14; 95% credible interval [CrI], 1.02-1.28) and mortality (HR, 1.10; 95% CrI, 1.02-1.19). A more positive LVM slope was associated with GD (HR per 1 g/year, 1.21; 95% CrI, 1.06-1.42) and with cardiac allograft vasculopathy (CAV) grade 2 or 3 (HR, 1.39; 95% Crl, 1.02-1.96). LVM regressed more slowly in the AGR group (-5.8 vs -8.4 g/year), with higher GD (21.0% vs 6.4%) and mortality (24.2% vs 10.0%). Time-updated GD was associated with subsequent death (HR, 8.12; 95% Confidence Interval [CI], 4.67-14.14). Transcriptomic analysis showed enrichment of interferon-mediated signaling and vascular endothelial activation with higher remodeling scores, whereas lower scores were associated with mitochondrial and metabolic processes, ribosome biogenesis, and pathways related to tissue repair and stress responses. CONCLUSIONS: AGR is an easily accessible imaging biomarker that reflects the changes in the allograft in response to various stressors and predicts future adverse outcomes. Discovery of molecular mechanisms of AGR could lead to novel therapies to protect the allograft from chronic rejection.