Transcriptomic profiling of a multiethnic pediatric NAFLD cohort reveals genes and pathways associated with disease

Identification of plasma biomarkers for non-invasive diagnosis of hepatitis B cirrhosis

Hepatitis B virus (HBV) infection represents a major public health challenge due to its potential progression to liver cirrhosis and hepatocellular carcinoma, underscoring the importance of early diagnosis for effective management. This study aimed to identify plasma biomarkers for the non-invasive diagnosis of hepatitis B cirrhosis (HBC). We employed quantitative proteomic analysis via liquid chromatography-tandem mass spectrometry on plasma samples from 27 individuals, including 13 patients with HBC and 14 with chronic hepatitis B (CHB). Bioinformatics analysis of 963 identified proteins revealed 234 differential expressed proteins, comprising 115 upregulated and 119 downregulated proteins. Four candidate biomarkers-CHI3L1, IGFBP1, SHBG, and TIMP2-were subsequently selected and validated using ELISA in a cohort of 158 patients, all demonstrating elevated levels in HBC patients. The four-biomarker panel (4MP) demonstrated superior diagnostic performance, achieving an area under the curve (AUC) of 0.902 for distinguishing HBC from CHB. For differentiating decompensated HBC from CHB, the 4MP achieved an AUC of 0.993, with a sensitivity of 93.75 % and specificity of 98.73 %. Mostly, the 4MP also performed well in identifying severe HBC from non-severe HBC, achieving an AUC of 0.911, with a sensitivity of 81.25% and specificity of 93.65%. In conclusion, this study identifies four novel plasma biomarkers for HBC, highlighting their potential to enhance non-invasive diagnostic strategies for monitoring HBC progression.

Proteomic signatures for fibrosis in MASLD: a biopsy-proven dual-cohort study

OBJECTIVES

Predicting disease progression in metabolic dysfunction-associated steatotic liver disease (MASLD) is challenging, and current non-invasive tests (NITs) lack the precision to replace liver biopsy. This study aimed to identify plasma biomarkers for different stages of fibrosis using affinity-based proteomics in two biopsy-proven cohorts. The primary objective was to identify biomarkers capable of distinguishing between low-to-no fibrosis (F0-1) and significant fibrosis (F2-4) in MASLD.

MATERIALS AND METHODS

Participants in the discovery cohort were recruited from Uppsala University Hospital and Swedish CArdioPulmonary bioImage Study (SCAPIS), while the validation cohort was included from Linköping University Hospital. All participants diagnosed with MASLD underwent liver biopsy and were categorized by fibrosis stage (F0-1 or F2-4). A total of 276 plasma proteins were analyzed using Olink® panels, with biomarkers identified through ordinal logistic regression, random forest (RF) analysis and the Boruta algorithm.

RESULTS

The discovery cohort included 60 participants, with 60% having fibrosis stage F0-1 and 40% having F2-4. The validation cohort had 59 participants, of whom 35 had fibrosis stage F0-1 (59.3%) and 24 had stage F2-4 (40.7%). Five biomarkers were significantly associated with fibrosis stage in the discovery cohort, with four confirmed in the validation cohort. A model combining angiotensin converting enzyme-2 (ACE2), hepatocyte growth factor (HGF) and insulin-like growth factor-binding protein-7 (IGFBP-7) demonstrated strong predictive performance for significant fibrosis (c-statistics 0.82-0.83), outperforming fibrosis-4 (FIB-4) (c-statistics 0.61-0.72).

CONCLUSIONS

A biomarker model including ACE2, HGF and IGFBP7 shows promise in distinguishing between low-stage and significant fibrosis.

Disrupted host-microbiota crosstalk promotes nonalcoholic fatty liver disease progression by impaired mitophagy

The intricate interplay between host genes and intrahepatic microbes is vital in shaping the hepatic microenvironment. This study aims to elucidate how host-microbiota interactions contribute to the progression of nonalcoholic fatty liver disease (NAFLD). Hepatic gene and microbial profiles were analyzed from 570 samples across five cohorts, including 72 control, 124 nonalcoholic fatty liver (NAFL), 143 Borderline, and 231 nonalcoholic steatohepatitis (NASH) samples. Least absolute shrinkage and selection operator penalized regression and sparse canonical correlation analysis were utilized to identify host-microbiota interactions and their function. Validation was performed using a bulk transcriptomic data set comprising 1,332 samples and a single-cell transcriptomic data set of seven samples. We observed stage-specific gene expression changes of disrupting energy metabolism and immune responses, alongside microbial shifts shaping the NAFLD microenvironment. Additionally, we identified 5,537, 1,937, 1,485, and 2,933 host-microbiota interactions in control, NAFL, Borderline, and NASH samples, respectively. Escherichia coli and Actinomyces naeslundii dominated the interaction network in control but were replaced by Sphingomonadales and Sphingomonadaceae in disease stages from NAFL, preceding the transcriptomic tipping point observed in Borderline. In NASH, interactions significantly weakened, accompanied by the loss of mutualistic interactions between bacteria such as Bacillales, Ralstonia insidiosa, Sphingomonadaceae, and host mitophagy genes including SQSTM1, OPTN, and BNIP3L. Single-cell data sets confirmed these interactions were co-localized in macrophages and monocytes in control, which shifted to hepatocytes and endothelial cells in NAFLD. Shifts in host-microbial interaction signal early microenvironment changes. Disturbed host-microbiota interactions impacting mitophagy can trigger a pro-inflammatory hepatic microenvironment, potentially driving disease progression.IMPORTANCEThis study integrated multiple cohorts to uncover fundamental and generalizable signals in the progression of nonalcoholic fatty liver disease. Key changes in both liver gene expression and microbiota were identified across disease stages, with microbial composition and interactions with host offering earlier insights into microenvironmental changes. Notably, host-microbiota interactions related to mitophagy, crucial in early stages, were destroyed in nonalcoholic steatohepatitis. This disruption may contribute to the worsening inflammation and disease progression.

Carboxylesterase 2A gene knockout or enzyme inhibition alleviates steatohepatitis in rats by regulating PPARγ and endoplasmic reticulum stress

Metabolic dysfunction associated steatotic liver disease (MASLD) is a widespread liver disease that progresses from simple steatosis to severe steatohepatitis stage. Despite the recognized importance of carboxylesterase 2 (CES2) in hepatic lipid metabolism, the role of CES2 in hepatic inflammation remains unclear. The rat genome encodes six Ces2 genes and Ces2a shows high expression in the liver and intestine. Lipid metabolism, inflammation, fibrosis, and endoplasmic reticulum (ER) stress were investigated in Ces2a knockout (KO) rats. KO rats showed spontaneous liver lipid accumulation due to increased lipogenesis and reduced fatty acid oxidation. Non-targeted lipidomic analysis revealed enhanced lysophosphatidylcholines (LPCs) and phosphatidylcholines (PCs) in KO rats and increased concentrations of ligands, thus activating the expression of PPARγ. Although there was simple lipid accumulation in the liver of KO rats, Ces2a deficiency showed a significant protective effect against LPS and diet-induced hepatic steatohepatitis by inhibiting ER stress regulated by PPARγ activation. In line with this, treatment with tanshinone IIA, a CES2 inhibitor, significantly alleviated the progression of steatohepatitis induced by the MCD diet. In conclusion, the increased PPARγ expression in Ces2a deficiency may counteract liver inflammation and ER stress despite the presence of simple steatosis. Therefore, CES2 inhibition represents a potential therapeutic approach for steatohepatitis.

Feasibility of Serum Galectin-1 as a Diagnostic Biomarker for Metabolic Dysfunction-Associated Steatotic Liver Disease: A Study on a Segment of the Chinese Population Using Convenience Sampling

Background/Objectives: Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is commonly considered as a hepatic manifestation of metabolic syndrome, posing considerable public health and economic challenges due to its high prevalence. This study investigates the diagnostic potential of serum galectin-1 levels in MASLD patients. Methods: A total of 128 participants were analyzed for this study, comprising 68 healthy controls and 60 MASLD patients. The hepatic steatosis index (HSI) and fatty liver index (FLI) were calculated to evaluate the liver steatosis. Serum galectin-1 levels were measured using an enzyme-linked immunosorbent assay. We additionally conducted a comparative analysis of galectin-1 mRNA and protein expression levels in the liver tissue between the mouse models of MASLD, including ob/ob mice (n = 6), high-fat diet-fed C57 mice (n = 6), and the control group (n = 6). Results: Average serum galectin-1 levels significantly differed between groups, with lower values in the controls (p < 0.01). The frequency of MASLD increased with higher quartiles of galectin-1 levels (p < 0.01). The correlation analysis showed a positive relationship between serum galectin-1 and both HSI and FLI (p < 0.01). The multivariate logistic regression indicated that elevated galectin-1 was associated with an increased risk of MASLD (p < 0.01), yielding an area under the receiver operating characteristic curve for predicting MASLD at 0.745 (95% CI: 0.662-0.829). Hepatic galectin-1 levels were also elevated in the MASLD mouse model at both transcript and protein levels (p < 0.01). Conclusions: Serum galectin-1 can be used as a potential biomarker to help diagnose MASLD.

Web of Science-Based Visualization of Metabolic Dysfunction-Associated Fatty Liver Disease in Pediatric and Adolescent Populations: A Bibliometric Study

Background and Aims

The prevalence of metabolism-associated fatty liver disease (MAFLD) in children is on the rise. This study employs visualization and analysis to evaluate the research implications, current advancements, and emerging trends in pediatric MAFLD, with the aim of elucidating its pathogenesis and informing the development of clinical treatment strategies.

Methods

Using visualization software, we conducted a visual analysis and mapping of the journal distribution, leading institutions, prominent authors, annual publication trends, and keyword frequencies among the 1179 scholarly articles retrieved from the Web of Science Core Collection for this study.

Results

The overall publication volume demonstrated an upward trend, with a total of 200 journals, contributions from 63 countries, 882 research institutions, and 5605 authors involved, including 84 who were identified as core authors. The main research team is led by Nobili, Valerio. The main research institutions are concentrated in Italy, the United States, and China. A total of 473 keywords were included, and the keywords with high frequency and medium centricity are insulin resistance, metabolic syndrome, children, steatohepatitis, adolescents, hepatic steatosis, nash, obesity, diagnosis, and fibrosis, which resulted in six keyword clusters.

Conclusion

MAFLD represents a significant public health concern. Research on children and adolescents with MAFLD continues to attract high interest. Noninvasive diagnostic methods, pathogenesis (intestinal microbiota research), disease prediction (gene research) are current research hotspots.

Integrative Analyses of Genes of Pediatric Non-alcoholic Fatty Liver Disease Associated with Energy Metabolism

BACKGROUND

Pediatric non-alcoholic fatty liver disease (NAFLD) is a chronic steatosis of the liver associated with energy metabolism in children and adolescents, failure to intervene promptly can elevate the risk of developing hepatocellular carcinoma. Therefore, this study aimed to understand the underlying mechanism of pediatric NAFLD and investigate potential biomarkers and therapeutic targets.

METHODS

We investigated genes using the GSE185051 data set related to energy metabolism from the GeneCards database, constructed protein-protein interaction network, identified hub genes and established networks representing interactions between these hub genes and miRNA, RNA-binding proteins, transcription factors, and drugs. Subsequently, we performed Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis, Gene Set Enrichment Analysis (GSEA), and immune infiltration analysis.

RESULTS

Our analysis identified 9 hub genes through the PPI network. The target molecules were identified through the interaction network between hub genes and miRNAs, RNA-binding proteins, transcription factors, and drugs. GO analysis revealed that hub genes were associated with oxidative stress responses and other pathways. KEGG analysis highlighted their involvement in pathways such as insulin resistance, among others. GSEA revealed that hub genes were highly enriched in pathways related to Omega-9 fatty acid synthesis, among others. Immune infiltration analysis suggested that mast cells and T follicular helper cells play significant roles in the pathogenesis of NAFLD.

CONCLUSION

We identified the hub genes in pediatric NAFLD closely related to energy metabolism. These findings offer the potential for identifying potential novel diagnostic biomarkers, and establishing therapeutic targets for pediatric NAFLD.

Spatial Transcriptomics Reveals the Transcriptomic Signatures in a Mouse Model of Pediatric Metabolic Dysfunction-Associated Steatohepatitis

Metabolic dysfunction-associated steatohepatitis (MASH) is considered the progressive form of metabolic dysfunction-associated steatotic liver disease, which is the leading cause of chronic liver disease in children. However, the pathogenesis of pediatric MASH remains poorly understood because of the lack of animal models. In this study, a mouse model of pediatric MASH was developed and its hepatic transcriptomic profile was characterized using spatial transcriptomics technology. C57BL/6J mice were fed a Western diet (WD) along with weekly injections of carbon tetrachloride (CCl4) from the age of 3 weeks and lasting up to 8 weeks. After 5 weeks of feeding, WD + CCl4-treated mice showed significant liver injury without the development of insulin resistance. Histologically, WD + CCl4 induced key features of type 2 MASH, the most common type observed in children, characterized by liver steatosis, portal inflammation, and portal fibrosis. Spatial transcriptomics analysis of liver tissues indicated that cluster 0 in the mouse from the WD + CCl4 group was enriched in pathways associated with lipid metabolism. Further investigation revealed that cytochrome p450 2E1 was the top marker gene of cluster 0, and its expression was increased in the periportal area of mice from the WD + CCl4 group. These findings suggest that this mouse model of pediatric MASH mirrors the histologic features of human MASH, and the up-regulation of cytochrome p450 2E1 may be linked to the disease pathogenesis.

Multiple Machine Learning Identifies Key Gene PHLDA1 Suppressing NAFLD Progression

Non-alcoholic fatty liver disease (NAFLD) poses a serious global health threat, with its progression mechanisms not yet fully understood. While several molecular markers for NAFLD have been developed in recent years, a lack of robust evidence hampers their clinical application. Therefore, identifying novel and potent biomarkers would directly aid in the prediction, prevention, and personalized treatment of NAFLD. We downloaded NAFLD-related datasets from the Gene Expression Omnibus (GEO). Differential expression analysis and functional analysis were initially conducted. Subsequently, Weighted Gene Co-expression Network Analysis (WGCNA) and multiple machine learning strategies were employed to screen and identify key genes, and the diagnostic value was assessed using Receiver Operating Characteristic (ROC) analysis. We then explored the relationship between genes and immune cells using transcriptome data and single-cell RNA sequencing (scRNA-seq) data. Finally, we validated our findings in cell and mouse NAFLD models. We obtained 23 overlapping differentially expressed genes (DEGs) across three NAFLD datasets. Enrichment analysis revealed that DEGs were associated with Apoptosis, Parathyroid hormone synthesis, secretion and action, Colorectal cancer, p53 signaling pathway, and Biosynthesis of unsaturated fatty acids. After employing machine learning strategies, we identified one gene, pleckstrin homology like domain family A member 1 (PHLDA1), downregulated in NAFLD and showing high diagnostic accuracy. CIBERSORT analysis revealed significant associations of PHLDA1 with various immune cells. Single-cell data analysis demonstrated downregulation of PHLDA1 in NAFLD, with PHLDA1 exhibiting a significant negative correlation with macrophages. Furthermore, we found PHLDA1 to be downregulated in an in vitro hepatic steatosis cell model, and overexpression of PHLDA1 significantly reduced lipid accumulation, as well as the expression of key molecules involved in hepatic lipogenesis and fatty acid uptake, such as FASN, SCD-1, and CD36. Additionally, gene set enrichment analysis (GSEA) pathway enrichment analysis suggested that PHLDA1 may influence NAFLD progression through pathways such as Cytokine Cytokine Receptor Interaction, Ecm Receptor Interaction, Parkinson's Disease, and Ribosome pathways. Our conclusions were further validated in a mouse model of NAFLD. Our study reveals that PHLDA1 inhibits the progression of NAFLD, as overexpression of PHLDA1 significantly reduces lipid accumulation in cells and markedly decreases the expression of key molecules involved in liver lipogenesis and fatty acid uptake. Therefore, PHLDA1 may emerge as a novel potential target for future prediction, diagnosis, and targeted prevention of NAFLD.

Development of a novel non-invasive biomarker panel for hepatic fibrosis in MASLD

Accurate non-invasive biomarkers to diagnose metabolic dysfunction-associated steatotic liver disease (MASLD)-related fibrosis are urgently needed. This study applies a translational approach to develop a blood-based biomarker panel for fibrosis detection in MASLD. A molecular gene expression signature identified from a diet-induced MASLD mouse model (LDLr-/-.Leiden) is translated into human blood-based biomarkers based on liver biopsy transcriptomic profiles and protein levels in MASLD patient serum samples. The resulting biomarker panel consists of IGFBP7, SSc5D and Sema4D. LightGBM modeling using this panel demonstrates high accuracy in predicting MASLD fibrosis stage (F0/F1: AUC = 0.82; F2: AUC = 0.89; F3/F4: AUC = 0.87), which is replicated in an independent validation cohort. The overall accuracy of the model outperforms predictions by the existing markers Fib-4, APRI and FibroScan. In conclusion, here we show a disease mechanism-related blood-based biomarker panel with three biomarkers which is able to identify MASLD patients with mild or advanced hepatic fibrosis with high accuracy.

Depletion of Igfbp7 alleviates zebrafish NAFLD progression through inhibiting hepatic ferroptosis

AIMS

The global increased expression of Insulin-like growth factor binding protein 7 (IGFBP7) has been detected in non-alcoholic fatty liver disease (NAFLD) patients, however, its roles in NAFLD and the mechanism remain largely unclear. The goal of this study is to investigate the effect and mechanism of Igfbp7 using a zebrafish NAFLD model.

MAIN METHODS

The igfbp7-/- null zebrafish mutant and the Igfbp7 liver overexpressed (LOE) transgenic zebrafish based on Gal4/UAS system were generated by CRISPR/Cas9 and Tol2 transgenic technique, respectively. The zebrafish NAFLD models in wildtypes, igfbp7-/- mutants and Igfbp7 LOE fishes have been established by high-fat diet feeding. The Igfbp7 dynamic expression and its effects on NAFLD progression have been detected and analyzed in both human NAFLD patients and zebrafish models. And the potential mechanism has been investigated through transcriptome analysis and subsequent detection and verification.

KEY FINDINGS

High Igfbp7 levels in NASH and fibrosis stages have been detected in liver tissues of both human NAFLD patients and zebrafish models. Depletion of Igfbp7 significantly alleviated liver steatosis, inflammation, and fibrosis, whereas liver specific Igfbp7 overexpression dramatically exacerbated liver fibrosis in zebrafish NAFLD model. The hepatic iron deposition, lipid peroxidation products, and ferroptosis-related index were also significantly reduced at the NASH stage in the absence of Igfbp7. Igfbp7 promotes NAFLD progression through regulating ferroptosis, and Ncoa4-mediated ferritinophagy may be the pathway of Igfbp7-regulated ferroptosis.

SIGNIFICANCE

Igfbp7 is confirmed as an important regulator in NAFLD progression. Depleting Igfbp7 effectively alleviates zebrafish NAFLD progression by inhibiting hepatic ferroptosis, suggesting a novel potential target for NAFLD treatment.

Cross-species analysis of differential transcript usage in humans and chickens with fatty liver disease

Background and Aim

Fatty liver disease is a common condition, characterized by excess fat accumulation in the liver. It can contribute to more severe liver-related health issues, making it a critical concern in avian and human medicine. Apart from modifying the gene expression of liver cells, the disease also alters the expression of specific transcript isoforms, which might serve as new biological markers for both species. This study aimed to identify cross-species genes displaying differential expressions in their transcript isoforms in humans and chickens with fatty liver disease.

Materials and Methods

We performed differential gene expression and differential transcript usage (DTU) analyses on messenger RNA datasets from the livers of both chickens and humans with fatty liver disease. Using appropriate cross-species gene identification methods, we reviewed the acquired candidate genes and their transcript isoforms to determine their potential role in fatty liver disease's pathogenesis.

Results

We identified seven genes - ALG5, BRD7, DIABLO, RSU1, SFXN5, STIMATE, TJP3, and VDAC2 - and their corresponding transcript isoforms as potential candidates (false discovery rate ≤0.05). Our findings showed that these genes most likely contribute to fatty disease development and progression.

Conclusion

This study successfully identified novel human-chicken DTU genes in fatty liver disease. Further research is encouraged to verify the functions and regulations of these transcript isoforms as potential diagnostic markers for fatty liver disease in humans and chickens.

Maternal Western diet is associated with distinct preclinical pediatric NAFLD phenotypes in juvenile nonhuman primate offspring

Pediatric NAFLD has distinct and variable pathology, yet causation remains unclear. We have shown that maternal Western-style diet (mWSD) compared with maternal chow diet (CD) consumption in nonhuman primates produces hepatic injury and steatosis in fetal offspring. Here, we define the role of mWSD and postweaning Western-style diet (pwWSD) exposures on molecular mechanisms linked to NAFLD development in a cohort of 3-year-old juvenile nonhuman primates offspring exposed to maternal CD or mWSD followed by CD or Western-style diet after weaning. We used histologic, transcriptomic, and metabolomic analyses to identify hepatic pathways regulating NAFLD. Offspring exposed to mWSD showed increased hepatic periportal collagen deposition but unchanged hepatic triglyceride levels and body weight. mWSD was associated with a downregulation of gene expression pathways underlying HNF4α activity and protein, and downregulation of antioxidant signaling, mitochondrial biogenesis, and PPAR signaling pathways. In offspring exposed to both mWSD and pwWSD, liver RNA profiles showed upregulation of pathways promoting fibrosis and endoplasmic reticulum stress and increased BiP protein expression with pwWSD. pwWSD increased acylcarnitines and decreased anti-inflammatory fatty acids, which was more pronounced when coupled with mWSD exposure. Further, mWSD shifted liver metabolites towards decreased purine catabolism in favor of synthesis, suggesting a mitochondrial DNA repair response. Our findings demonstrate that 3-year-old offspring exposed to mWSD but weaned to a CD have periportal collagen deposition, with transcriptional and metabolic pathways underlying hepatic oxidative stress, compromised mitochondrial lipid sensing, and decreased antioxidant response. Exposure to pwWSD worsens these phenotypes, triggers endoplasmic reticulum stress, and increases fibrosis. Overall, mWSD exposure is associated with altered expression of candidate genes and metabolites related to NAFLD that persist in juvenile offspring preceding clinical presentation of NAFLD.

Association between iron metabolism and non-alcoholic fatty liver disease: results from the National Health and Nutrition Examination Survey (NHANES 2017-2018) and a controlled animal study

BACKGROUND

Iron metabolism may be involved in the pathogenesis of the non-alcoholic fatty liver disease (NAFLD). The relationship between iron metabolism and NAFLD has not been clearly established. This study aimed to clarify the relationship between biomarkers of iron metabolism and NAFLD.

METHODS

Based on the National Health and Nutrition Examination Survey (NHANES), restricted cubic spline models and multivariable logistic regression were used to examine the association between iron metabolism [serum iron (SI), serum ferritin (SF), transferrin saturation (TSAT), and soluble transferrin receptor (sTfR)] and the risk for NAFLD. In addition, stratified subgroup analysis was performed for the association between TSAT and NAFLD. Moreover, serum TSAT levels were determined in male mice with NAFLD. The expression of hepcidin and ferroportin, vital regulators of iron metabolism, were analyzed in the livers of mice by quantitative real-time PCR (qRT-PCR) and patients with NAFLD by microarray collected from the GEO data repository.

RESULTS

Patients with NAFLD showed decreased SI, SF, and TSAT levels and increased STfR levels based on the NHANES. After adjusting for confounding factors, TSAT was significantly negatively correlated with NAFLD. Of note, the relationship between TSAT and NAFLD differed in the four subgroups of age, sex, race, and BMI (P for interaction < 0.05). Consistently, mice with NAFLD exhibited decreased serum TSAT levels. Decreased hepcidin and increased ferroportin gene expression were observed in the livers of patients and mice with NAFLD.

CONCLUSION

Serum TSAT levels and hepatic hepcidin expression were decreased in both patients and mice with NAFLD. Among multiple biomarkers of iron metabolism, lower TSAT levels were significantly associated with a higher risk of NAFLD in the U.S. general population. These findings might provide new ideas for the prediction, diagnosis, and mechanistic exploration of NAFLD.

Chemotactic cytokines secreted from Kupffer cells contribute to the sex-dependent susceptibility to non-alcoholic fatty liver diseases in mice

AIMS

The global prevalence of non-alcoholic fatty liver disease (NAFLD) has rapidly increased over the last decade due to an elevated occurrence of metabolic syndromes. Importantly, the prevalence and severity of NAFLD is higher in men than in women. Therefore, in the present study we endeavored to identify the mechanistic disparity between male and female mice.

MAIN METHODS

Global gene transcriptomics analysis was done with the high-fat diet (HFD)-induced NAFLD model of male, female, and ovariectomized (OVX) female mice. The expression of CCL2, CXCL2, and CXCL10 in mRNA level and serum protein level was done by qPCR and ELISA each. Immunohistochemistry staining was used to observe hepatic immune cell infiltration. To analyzing portion of immune cells, flow cytometry was done with isolated liver cells from HFD-fed male and female mice. Primary mouse liver cells were isolated from male and female mice for in vitro studies.

KEY FINDINGS

We identified sex differences in inflammatory chemokines, CCL2, CXCL2, and CXCL10, with the expression of these chemokines enhanced in male and OVX, but not in female, mice after HFD feeding. Resident Kupffer cells (KCs) were identified as the major source of production of CCL2, CXCL2, and CXCL10 in the mouse NAFLD model. Notably, KCs obtained from male mice expressed higher levels of chemokines than those from female mice, indicating that KCs may mediate the sex discrepancy in NAFLD progression.

SIGNIFICANCE

Our findings offer new insights into the pathology of sex-specific differences in NAFLD, involving chemokines and KCs.