Nonalcoholic Steatohepatitis Group Research Articles

Association between paravertebral muscle radiological parameter alterations and non-alcoholic fatty liver disease.

To assess changes in laboratory indices, paravertebral muscle (PVM) fat infiltration and multi b-value DWI parameters and their potential correlation with NAFLD. This retrospective analysis included 178 patients with histopathologically confirmed NAFLD, incluiding 76 with non-alcoholic steatohepatitis (NASH). Differences in PVM fat infiltration ratio (FIR), DWI parameters, and laboratory indices were compared between two groups. The correlation between FIR and NAFLD activity score (NAS) was also analysed. Binary logistic regression was used to identify the independent risk factors for NASH. The clinical utility of PVM fat infiltration, DWI parameters, and laboratory indices for diagnosing NASH in patients with NAFLD was evaluated using receiver operating characteristic (ROC) curves. The FIRs at the L2 and L3 levels were significantly higher in the with NASH group than those in the without NASH group. The heterogeneity index (α) and perfusion fraction (f) values at the L3 level of PVM were lower in the with NASH group. Moreover, the FIR at the L3 level was positively correlated with NAS. FIR at the L3 level was an independent risk factor for NASH along with alanine aminotransferase level. The area under the ROC curve (AUC) using L3 level PVM radiological parameters and laboratory indices for diagnosing NASH in patients with NAFLD was significantly higher than that using the degree of PVM fat infiltration, DWI parameters, or laboratory indices alone. Radiological parameters of the PVM were correlated with NAFLD. An integrated curve combining PVM radiological parameters may help distinguish NASH from NAFLD, thereby offering novel insights into the diagnosis of NASH.

Amino acid metabolomics and machine learning for assessment of post-hepatectomy liver regeneration

ObjectiveAmino acid (AA) metabolism plays a vital role in liver regeneration. However, its measuring utility for post-hepatectomy liver regeneration under different conditions remains unclear. We aimed to combine machine learning (ML) models with AA metabolomics to assess liver regeneration in health and non-alcoholic steatohepatitis (NASH).MethodsThe liver index (liver weight/body weight) was calculated following 70% hepatectomy in healthy and NASH mice. The serum levels of 39 amino acids were measured using ultra-high performance liquid chromatography–tandem mass spectrometry analysis. We used orthogonal partial least squares discriminant analysis to determine differential AAs and disturbed metabolic pathways during liver regeneration. The SHapley Additive exPlanations algorithm was performed to identify potential AA signatures, and five ML models including least absolute shrinkage and selection operator, random forest, K-nearest neighbor (KNN), support vector regression, and extreme gradient boosting were utilized to assess the liver index.ResultsEleven and twenty-two differential AAs were identified in the healthy and NASH groups, respectively. Among these metabolites, arginine and proline metabolism were commonly disturbed metabolic pathways related to liver regeneration in both groups. Five AA signatures were identified, including hydroxylysine, L-serine, 3-methylhistidine, L-tyrosine, and homocitrulline in healthy group, and L-arginine, 2-aminobutyric acid, sarcosine, beta-alanine, and L-cysteine in NASH group. The KNN model demonstrated the best evaluation performance with mean absolute error, root mean square error, and coefficient of determination values of 0.0037, 0.0047, 0.79 and 0.0028, 0.0034, 0.71 for the healthy and NASH groups, respectively.ConclusionThe KNN model based on five AA signatures performed best, which suggests that it may be a valuable tool for assessing post-hepatectomy liver regeneration in health and NASH.

Serum miR‑29 is increased in mice with early liver fibrosis.

Non-alcoholic steatohepatitis (NASH) is a fatty liver disease that is not caused by alcohol consumption and is characterized by fatty degeneration, inflammation and hepatocellular damage. Therefore, predicting future fibrosis is critical in the early stages of NASH to prevent disease progression. The present study examined histological changes in the liver as well as microRNA (miR/miRNA) expression changes in the liver and serum of NASH mice model to identify potential biomarker candidates that could predict early fibrosis. This study used 6-week-old C57BL/6NJcl male mice and fed the control with a standard solid diet (CE-2) for breeding and propagation and NASH groups with a high-fat diet [choline-deficient high-fat and 0.1% (w/v) methionine supplemented diet], respectively. Agilent Technologies miRNA microarray was used to investigate microRNA expression in the liver and serum. Hematoxylin and eosin staining of the livers of the NASH group mice during the second week of feeding revealed fatty degeneration, balloon-like degeneration and inflammatory cell infiltration, confirming that the mice were in a state of NASH. The livers of the NASH group mice at 6 weeks of feeding showed fibrosis. Microarray analysis revealed that miRNAs were upregulated and 47 miRNAs were downregulated in the liver of the NASH group. Pathway analysis using OmicsNet predicted miR-29 to target collagen genes. Furthermore, miR-29 was downregulated in the livers of NASH-induced mice but upregulated in serum. These findings suggested that lower miR-29 expression in NASH-induced liver would increase collagen expression and fibrosis. Early liver fibrosis suggests that miR-29 leaks from the liver into the bloodstream, and elevated serum miR-29 levels may be a predictive biomarker for early liver fibrosis.

Inflammatory Protein Signatures as Predictive Disease-Specific Markers for Non-Alcoholic Steatohepatitis (NASH).

Non-alcoholic fatty liver disease (NAFLD) is the most prevalent chronic disease worldwide, consisting of a broad spectrum of diseases such as simple steatosis (NAFL), non-alcoholic steatohepatitis (NASH), fibrosis, cirrhosis, and hepatocellular carcinoma. Hepatic inflammation plays a key role in the pathophysiology of NAFLD. Inflammatory mediators such as cytokines and chemokines are considered as contributing factors to NAFLD development and progression. In the present study, we aimed to investigate the inflammatory protein signatures as predictive disease-specific markers for non-alcoholic fatty liver disease (NAFLD). This cross-sectional study included healthy control (n = 64), NAFL (n = 109), and NASH (n = 60) human subjects. Serum concentrations of various cytokines and chemokines were evaluated using sensitive multiplex assays. We used principal component analysis (PCoA) to reveal distinct differences in the levels of cytokines and chemokines between each of the study groups. Further, a random forest classification model was developed to identify the panel of markers that could predict diseases. The protein-protein network analysis was performed to determine the various signaling pathways associated with the disease-specific panel of markers. Serum concentrations of TNF-α, IL-1β, IL-1ra, G-CSF, PDGF-BB, MCP-1, MIP-1a, MIP-1b, RANTES, eotaxin, IL-8 and IP-10 were significantly increased in NASH group as compared to control group. Furthermore, serum concentrations of IL-9 and IL-13 were significantly lower in the NASH group, whereas IL-2 levels were significantly decreased in the NAFL group when compared to the control group. PCoA results demonstrated statistically significant differences in cytokines and chemokines between each of the study groups (PERMANOVA p = 0.001; R2 = 0.102). RANTES, IL-1ra, MIP-1b, IL-2, and G-CSF could differentiate the NAFL group from the controls; G-CSF, IL-1ra, TNF-α, RANTES, and IL-9 could differentiate the NASH group from the controls; and G-CSF, IL-9, IL-13, eotaxin, and TNF- α could differentiate the NASH group from the NAFL group. Our protein-protein network revealed that these markers are involved in cytokine-cytokine receptor interaction, Th1 and Th2 cell differentiation, TNF, chemokine, JAK/STAT, P13K/Akt, TLR, NOD-like receptor, NF-kB, and adipocytokine signaling pathways which might be responsible for disease pathogenesis.Our study findings revealed a set of distinct cytokine and chemokine markers and they might be considered as biomarkers in distinguishing NASH from NAFL. Future multicentre studies with larger sample size are recommended to determine the potential utility of these panels of markers.

From gut to liver: unveiling the differences of intestinal microbiota in NAFL and NASH patients.

Non-alcoholic fatty liver disease (NAFLD) is increasingly recognized for its global prevalence and potential progression to more severe liver diseases such as non-alcoholic steatohepatitis (NASH). The gut microbiota plays a pivotal role in the pathogenesis of NAFLD, yet the detailed characteristics and ecological alterations of gut microbial communities during the progression from non-alcoholic fatty liver (NAFL) to NASH remain poorly understood. Methods: In this study, we conducted a comparative analysis of gut microbiota composition in individuals with NAFL and NASH to elucidate differences and characteristics. We utilized 16S rRNA sequencing to compare the intestinal gut microbiota among a healthy control group (65 cases), NAFL group (64 cases), and NASH group (53 cases). Random forest machine learning and database validation methods were employed to analyze the data. Results: Our findings indicate a significant decrease in the diversity of intestinal flora during the progression of NAFLD (p < 0.05). At the phylum level, high abundances of Bacteroidetes and Fusobacteria were observed in both NAFL and NASH patients, whereas Firmicutes were less abundant. At the genus level, a significant decrease in Prevotella expression was seen in the NAFL group (AUC 0.738), whereas an increase in the combination of Megamonas and Fusobacterium was noted in the NASH group (AUC 0.769). Furthermore, KEGG pathway analysis highlighted significant disturbances in various types of glucose metabolism pathways in the NASH group compared to the NAFL group, as well as notably compromised flavonoid and flavonol biosynthesis functions. The study uncovers distinct microbiota characteristics and microecological changes within the gut during the transition from NAFL to NASH, providing insights that could facilitate the discovery of novel biomarkers and therapeutic targets for NAFLD.

Expression of immune related genes and possible regulatory mechanisms in different stages of non-alcoholic fatty liver disease.

Non-alcoholic fatty liver disease (NAFLD), which includes simple steatosis (SS) and non-alcoholic steatohepatitis (NASH), is a significant contributor to liver disease on a global scale. The change of immunity-related genes (IRGs) expression level leads to different immune infiltrations. However, the expression of IRGs and possible regulatory mechanisms involved in NAFLD remain unclear. The objective of our research is to investigate crucial genes linked to the development of NAFLD and the transition from SS to NASH. Dataset GSE89632, which includes healthy controls, SS patients, and NASH patients, was obtained using the GEO database. To examine the correlation between sets of genes and clinical characteristics, we employed weighted gene co-expression network analysis (WGCNA) and differential expression analysis. Hub genes were extracted using a network of protein-protein interactions (PPI) and three different machine learning algorithms. To validate the findings, another dataset that is publicly accessible and mice that were subjected to a high-fat diet (HFD) or MCD diet were utilized. Furthermore, the ESTIMATE algorithm and ssGSEA were employed to investigate the immune landscape in the normal versus SS group and SS versus NASH group, additionally, the relationship between immune infiltration and the expression of hub genes was also examined. A total of 28 immune related key genes were selected. Most of these genes expressed reverse patterns in the initial and progressive stages of NAFLD. GO and KEGG analyses showed that they were focused on the cytokine related pathways and immune cell activation and chemotaxis. After screening by various algorithms, we obtained two hub genes, including JUN and CCL20. Validation of these findings was confirmed by analyzing gene expression patterns in both the validation dataset and the mouse model. Ultimately, two hub genes were discovered to have a significant correlation with the infiltration of immune cells. We proposed that there were dynamic changes in the expression levels of IRGs in different stages of NAFLD disease, which led to different immune landscapes in SS and NASH. The findings of our research could serve as a guide for the accurate management of various phases of NAFLD.

The relationship and diagnostic efficacy of N-terminal propeptide type III collagen in pathological changes associated with non-alcoholic steatohepatitis.

This study delves into the role of N-terminal propeptide type III collagen (PIIINP) in the diagnosis and management of liver pathological changes associated with non-alcoholic steatohepatitis (NASH). We collected baseline information, pathological data, and serum PIIINP levels of 168 patients diagnosed with non-alcoholic fatty liver disease (NAFLD) via ultrasound imaging in our hospital. Based on the non-alcoholic fatty liver disease activity score (NAS), patients with different NAFLD patterns were divided into a Definite NASH group and a Not/borderline group. Differences in PIIINP levels and pathological features between the two groups were compared and analyzed. The diagnostic value of PIIINP for NASH was evaluated using the receiver operating characteristic (ROC) curve. Patients with NASH exhibited significantly higher values of homeostatic model assessment for insulin resistance (HOMA-IR), fibrosis biomarker fibrosis-4 (FIB-4), aminotransferase-to-platelet ratio index (APRI), and serum PIIINP levels than those classified as Not/borderline. A marked increase in the serum concentrations of PIIINP was observed with the severity of fatty degeneration, lobular inflammation, and hepatocellular ballooning. The AUC of PIIINP for diagnosing definite NASH was 0.766 (95% CI: 0.694, 0.839), APRI was 0.634 (95% CI: 0.549, 0.718), and FIB-4 was 0.621 (95% CI: 0.534, 0.708). The AUC of PIIINP for diagnosing definite NASH was significantly higher than that of APRI and FIB-4 (all p<0.05). Utilizing the predetermined threshold values for diagnostic parameters, the PIIINP measure demonstrated a sensitivity of 71.6% and a specificity of 73.6% in diagnosing definitive NASH when its value exceeded 7.72 ng/dL. This yielded a Youden index of 0.45. Similarly, when the APRI measure exceeded 0.21, it exhibited a sensitivity of 60.5% and a specificity of 63.2%, resulting in a Youden index of 0.24. Moreover, when the FIB-4 index surpassed 0.26, it showed a sensitivity of 46.9% and a specificity of 79.3%, culminating in a Youden index of 0.26. NASH patients in this study exhibited significantly elevated PIIINP serum levels, which were closely associated with hepatocyte pathological changes. PIIINP demonstrated superior competence in diagnosing NASH than APRI and FIB-4 and thus offers a viable alternative for the clinical diagnosis of NASH.

Sequential ultrasound molecular imaging for noninvasive identification and assessment of non-alcoholic steatohepatitis in mouse models

Background and objectiveNoninvasive non-alcoholic steatohepatitis (NASH) assessment is a clinical challenge to the management of non-alcoholic fatty liver disease. We aim to develop diagnostic models based on sequential ultrasound molecular imaging (USMI) for the noninvasive identification of NASH in mouse models. MethodsAnimal experiments were approved by the Animal Ethics Committee of South China Agricultural University. Forty-nine C57BL/6 mice were divided into normal control, non-alcoholic fatty liver, NASH, and hepatitis groups. Sequential USMI was implemented using CD36-targeted microbubbles (MBs-CD36) and intercellular adhesion molecule-1 (ICAM-1)-targeted microbubbles (MBs-ICAM-1) to visualize hepatic steatosis and inflammation. The targeting signal of USMI was quantified as the normalized intensity difference (NID) with the destruction-replenishment method. Correlation analysis was conducted between the NID-MBs-CD36 and pathological steatosis score and between the NID-MBs-ICAM-1 and pathological inflammation score. Finally, diagnostic models combining NID-MBs-CD36 with NID-MBs-ICAM-1 were established for NASH diagnosis. ResultsMBs-CD36 and MBs-ICAM-1 were successfully prepared and used for sequential USMI in all mice. NID-MBs-CD36 values increased with the progression of steatosis, while NID-MBs-ICAM-1 values increased in parallel with the progression of inflammation. A strong positive correlation was identified between NID-MBs-CD36 and pathological steatosis grade (rs = 0.9078, P < 0.0001) and between NID-MBs-ICAM-1 and pathological inflammation grade (rs = 0.9071, P < 0.0001). Among various sequential USMI-based diagnostic models, the serial testing model showed high diagnostic performance in detecting NASH, with 95% sensitivity, 97% specificity, 95% positive predictive values, 97% negative predictive values, and 96% accuracy. ConclusionsSequential USMI using MBs-CD36 and MBs-ICAM-1 allows noninvasive grading of hepatic steatosis and inflammation. Sequential USMI-based diagnostic models hold great potential in the noninvasive identification of NASH.

Involvement of essential trace elements in the pathogenesis of hepatitis C virus‑related chronic liver disease and nonalcoholic steatohepatitis.

Essential trace elements are involved in the pathogenesis of chronic liver disease (CLD), which causes hepatic inflammation, steatosis and fibrosis. The present study investigated the roles of essential trace elements in the pathogenesis of hepatitis C virus-related CLD (CLD-C) and nonalcoholic steatohepatitis (NASH), and compared the levels of these trace elements between the two groups. Serum zinc (Zn), selenium (Se), copper (Cu) and ferritin levels were measured in patients with CLD-C (n=66) and NASH (n=26). Subsequently, the correlations between the levels of these essential trace elements in patient sera and the biochemical or pathological parameters of patients with CLD-C and NASH were determined. The results demonstrated that the serum ferritin levels were significantly correlated with serum alanine aminotransferase levels in both the CLD-C and NASH groups. In both groups, the serum Zn and Se levels were significantly associated with serum albumin levels, and inversely associated with the stages of hepatic fibrosis. Furthermore, serum ferritin levels were positively associated, and serum Zn levels were inversely correlated with the grades of hepatic steatosis in patients with CLD-C, whereas serum Se levels were closely associated with the grades of hepatic steatosis only in patients with NASH. In both groups, serum ferritin levels were positively correlated, and serum Zn levels were inversely correlated with homeostasis model for the assessment of insulin resistance (HOMA-IR) values, and serum Se was negatively correlated with the HOMA-IR values in patients with CLD-C only. In conclusion, these results indicated that the involvement of essential trace elements in insulin resistance and hepatic steatosis may differ slightly between patients with CLD-C and those with NASH.

Abstract 12321: Discordant Association of Nonalcoholic Fatty Liver Disease With Lipoprotein(a) and Markers of Atherogenic Dyslipidemia

Background: Nonalcoholic fatty liver disease (NAFLD) is associated with atherogenic dyslipidemia and an increased risk of cardiovascular events. Previous studies have suggested a paradoxical inverse relationship between NAFLD severity and Lp(a) level, an independent cardiovascular risk factor. However, contemporary data in patients with biopsy-proven NAFLD in the U.S. are lacking. Hypothesis: NAFLD severity on liver biopsy has a discordant association with Lp(a) and other markers of atherogenic dyslipidemia. Methods: Lp(a), traditional lipid profile, apolipoproteins, and nuclear magnetic resonance-based lipoprotein particle concentration were measured in 151 patients with NAFLD. Levels were compared between those with nonalcoholic fatty liver (NAFL) on histology and non-alcoholic steatohepatitis (NASH), the clinically aggressive NAFLD variant. Results: Median age was 55 [48, 62] years, 67% of patients were women, 83% were White, 43% had NAFL, and 57% had NASH. Demographic characteristics were similar among those with NAFL and NASH. Triglyceride level was higher and High-Density Lipoprotein-cholesterol (HDL-C) was lower among those with NASH as compared with NAFL. Circulating concentration of two key markers of atherogenic dyslipidemia, Apolipoprotein-B (apoB) and Low-Density Lipoprotein particle concentration (LDL-P) was 9% and 17% higher in the NASH group as compared with NAFL, respectively. Contrastingly, Lp(a) concentration was 50% lower in NASH relative to NAFL group (Figure). Hepatocyte ballooning, lobular inflammation, and fibrosis on histology were inversely associated with Lp(a) concentration, while steatosis severity was not. Conclusions: NAFLD severity has a discordant association with Lp(a) and markers of atherogenic dyslipidemia. The mechanistic basis of this relationship may have implications for prognosticating cardiovascular disease risk and determining the safety of targeted Lp(a) lowering in patients with NAFLD.

Metabonomics Application on Screening Serum Biomarkers of Golden Hamsters with Nonalcoholic Steatohepatitis Induced by High-Fat Diet.

Nonalcoholic steatohepatitis (NASH) is a common liver injury which will develop into advanced fibrosis and cirrhosis. This study was designed to identify the different serum metabolites of NASH hamsters and predict the diagnosis biomarkers for NASH. Golden hamsters were randomly divided into a control group that received a normal diet and a NASH group that received a high-fat diet (HFD). After 12 weeks of feeding, the body and liver weight of the hamsters were monitored. Serum biochemical parameters and liver histopathological changes were analyzed. Moreover, an untargeted metabolomics analysis based on a GCTOF/ MS system was performed to identify the serum differential metabolites between the NASH and control groups. The liver weight was increased in the NASH group, accompanied by significantly higher levels of serum TC, TG, ALT, AST, LDL-C, and lower HDL-C. HE, Masson, and oil red O staining showed the hepatocyte structure destroyed, lipid droplets accumulated, and fibers proliferated in the NASH group. Furthermore, 63 differential metabolites were identified by metabolomic analysis. Lipids and fatty acids were significantly up-regulated in the NASH group. The top 9 differential metabolites included cholesterol, methyl phosphate, taurine, alpha-tocopherol, aspartic acid, etc. Metabolites were mainly involved in amino acid metabolism (glycine, cysteine, taurine), spermine, fatty acid biosynthesis, urea cycle, bile acid metabolism pathways, etc. Conclusion: Metabonomics analysis identified 63 differential metabolites in the serum of NASH hamsters; among them, lipids and fatty acids had a key role and may be used as biomarkers for the early diagnosis of NASH.

Discordant association of nonalcoholic fatty liver disease with lipoprotein(a) and markers of atherogenic dyslipidemia

Nonalcoholic fatty liver disease (NAFLD) is associated with atherogenic dyslipidemia and an increased risk of cardiovascular events. Previous studies have suggested an inverse relationship between NAFLD severity and lipoprotein(a) [Lp(a)] level, but contemporary data from the U.S. are lacking. Lp(a), lipid profile, apolipoproteins, and nuclear magnetic resonance-based lipoprotein particle concentrations were measured in 151 patients with biopsy-proven NAFLD. Levels were compared between those with nonalcoholic fatty liver (NAFL) on histology and non-alcoholic steatohepatitis (NASH). Median age was 55 [48, 62] years, 67% of patients were women, 83% were White, 43% had NAFL, and 57% had NASH. Triglyceride level was higher and high-density lipoprotein-cholesterol (HDL-C) was lower among those with NASH as compared with NAFL. Circulating apolipoprotein-B (ApoB) and low-density lipoprotein particle concentration (LDL-P) were 9% and 17% higher in the NASH group as compared with NAFL, respectively. Contrastingly, Lp(a) concentration was 50% lower in NASH relative to NAFL group. Hepatocyte ballooning, lobular inflammation, and fibrosis on histology were inversely associated with Lp(a) concentration. NAFLD severity has a discordant association with Lp(a) and other markers of atherogenic dyslipidemia. This relationship may have implications for prognosticating cardiovascular disease risk in patients with NAFLD.

In the Diagnosis of Liver Fibrosis Developing in Nonalcoholic Fatty Liver Patients; Could Serum Fetuin A Be a Candidate Biomarker

Previous studies have reported in the literature that fetuin A, released from the liver, may be a useful serum biomarker in the diagnosis of nonalcoholic fatty liver disease (NAFLD). However, results are not consistent in predicting nonalcoholic steatohepatitis (NASH) and fibrosis, which are indicative of progressive NAFLD patients. The aim of this study was to investigate the importance of serum fetuin A in detecting NASH and fibrosis, which are determinants of morbidity, in patients with liver biopsy-proven NAFLD. This observational case-control study included 40 NAFLD patients diagnosed by liver biopsy and 25 healthy volunteer controls. The demographic characteristics of the patients and healthy volunteers were recorded, biochemical tests were done, and the serum fetuin A levels of the participants were determined by the enzyme-linked immunosorbent assay method. Serum fetuin A levels were significantly higher in both the nonalcoholic fatty liver (NAFL) (608.30 μg/mL; p&lt;0.001) and NAFLD (536.58 μg/mL; p=0.008) groups compared to the control group (345.07 μg/mL). However, no significant difference was detected in the NASH group (417.06 μg/mL; p=0.740). When patients with and without fibrosis were compared, the mean serum fetuin A levels of patients with fibrosis were significantly lower (708 μg/mL and 380 μg/mL, respectively; p&lt;0.001). When receiver operating characteristic (ROC) analysis was performed, the best cut-off point for patients with fibrosis was 510.98 μg/mL with 94.7% sensitivity and 66.7% specificity (p&lt;0.001). Serum fetuin A may be a useful biomarker in the diagnosis of NAFLD patients and in predicting liver fibrosis.

MicroRNA-582-3p knockdown alleviates non-alcoholic steatohepatitis by altering the gut microbiota composition and moderating TMBIM1.

The gut dysbiosis correlates with non-alcoholic steatohepatitis (NASH), involving the moderation of miRNAs. This study was aimed to investigate the correlation between gut microbiota and miR-582-3p in patients with non-alcoholic steatohepatitis (NASH) and to explore the possible regulation of miR-582-3p in the function of the activated hepatic stellate cells (HSCs). GSE69670 and GSE14435 datasets were analyzed by GEO2R. Plasma and fecal samples were obtained from the subjects, non-steatosis (n = 35), simple steatosis (n = 35), and NASH (n = 35). The variations in intestinal microbiota in the non-steatosis and NASH groups were analyzed using 16S rRNA sequencing. The expression of miR-582-3p among the groups was detected using RT-qPCR. Correlations between top-changed intestinal microbiota and miR-582-3p expression were analyzed using the Pearson correlation coefficient. Target gene identification was performed by prediction and dual-luciferase reporter assay. The effect of miR-582-3p on the cell function of TGF-β1-induced HSCs was assessed in vitro. miR-582-3p was the common differentially expressed miRNA between GSE69670 and GSE14435. miR-582-3p was upregulated in NASH patients' plasma, as well as in TGF-β1-induced LX-2 cells. The non-steatosis and NASH groups showed significantly different intestinal microbiota distribution. miR-582-3p was positively correlated with specific microbiota populations. TMBIM1 was a target gene for miR-582-3p. Knockdown of miR-582-3p suppressed HSC proliferation and myofibroblast markers' expression but induced cell apoptosis, via TMBIM1. This present study suggests that miR-582-3p promotes the progression of NASH. Knockdown of miR-582-3p may alleviate NASH by altering the gut microbiota composition and moderating TMBIM1.

Identification of metabolic biomarkers associated with nonalcoholic fatty liver disease

BackgroundNonalcoholic fatty liver disease (NAFLD) is the most common liver disease. Metabolism-related genes significantly influence the onset and progression of the disease. Hence, it is necessary to screen metabolism-related biomarkers for the diagnosis and treatment of NAFLD patients.MethodsGSE48452, GSE63067, and GSE89632 datasets including nonalcoholic steatohepatitis (NASH) and healthy controls (HC) analyzed in this study were retrieved from the Gene Expression Omnibus (GEO) database. First, differentially expressed genes (DEGs) between NASH and HC samples were obtained. Next, metabolism-related DEGs (MR-DEGs) were identified by overlapping DEGs and metabolism-related genes (MRG). Further, a protein–protein interaction (PPI) network was developed to show the interaction among MR-DEGs. Subsequently, the “Least absolute shrinkage and selection operator regression” and “Random Forest” algorithms were used to screen metabolism-related genes (MRGs) in patients with NAFLD. Next, immune cell infiltration and gene set enrichment analyses (GSEA) were performed on these metabolism-related genes. Finally, the expression of metabolism-related gene was determined at the transcription level.ResultsFirst, 129 DEGs related to NAFLD development were identified among patients with nonalcoholic steatohepatitis (NASH) and healthy control. Next, 18 MR-DEGs were identified using the Venn diagram. Subsequently, four genes, including AMDHD1, FMO1, LPL, and P4HA1, were identified using machine learning algorithms. Moreover, a regulatory network consisting of four genes, 25 microRNAs (miRNAs), and 41 transcription factors (TFs) was constructed. Finally, a significant increase in FMO1 and LPL expression levels and a decrease in AMDHD1 and P4HA1 expression levels were observed in patients in the NASH group compared to the HC group.ConclusionMetabolism-related genes associated with NAFLD were identified, containing AMDHD1, FMO1, LPL, and P4HA1, which provide insights into diagnosing and treating patients with NAFLD.

Role of Activin A as a Novel Marker for Diagnosis and Evaluation of Nonalchoholic Fatty Liver Disease

Abstract Background Nonalcoholic fatty liver disease (NAFLD) is a disease gaining increasing interest worldwide. It ranges from simple nonalcoholic steatosis to nonalcoholic steatohepatitis (NASH), is characterized by steatosis, inflammation and fibrosis, and may lead to liver cirrhosis and hepatocellular carcinoma. Nonalcoholic fatty liver disease shares common pathogenetic mechanisms with other components of the insulin resistance or metabolic syndrome, with adipokines playing a crucial role. Aim of the Work Recent studies suggest that activin A, a member of the transforming growth factor (TGF) superfamily, is involved in the pathogenesis of liver disorders. We sought to explore its possible role in non-alcoholic fatty liver disease (NAFLD). Patients and Methods This study is a comparative case control study. This study was carried out at outpatient’s clinics of internal medicine department of Ain Shams University. Target population Group 1: Including 35 patients with NAS (steatosis) with exclusion criteria of intake of hepatotoxic drugs. Group 2: Including 35 patients with fatty liver and elevated liver enzymes (NASH). Group 3: Including 20 patients as a control group. Results There was high statistically significant difference between the studied groups as regard weight and BMI. In the Steatosis group the mean Liver size was 13.97 (±1.29 SD) with range (1216) cm, all the patients (100%) had enlarged- echogenic liver. In the NASH group the mean Liver size was 13.71 (±1.36 SD) with range (12-16) cm, all the patients (100%) had enlarged-echogenic liver. In the control group the mean Liver size was 9.85 (±1.5 SD) with range (8-12) cm, all the patients (100%) had Normal liver. There was high statistically significant difference between the studied groups as regard liver size. There was high statistically significant difference between the studied groups as regard ALT, AST, total and direct bilirubin, plts count and activin A, significant difference between the studied groups as regard Albumin. There was high statistically significant difference between the studied groups as regard APRI score, FIB-4. There was high correlation between Activin A and BMI, APRI score, FIB-4 and liver size with high significance (p &amp;lt; 0.001). Using Activin A. it was shown that above 858.5, it can discriminate between NAFLD and nonNAFLD with level of sensitivity 100% and specificity 100%. Conclusion Serum activin A showed a trend towards progressive increase from controls, to SS and NASH patients, but the significance was lost after adjustment for measures of adiposity. Activin A was not independently associated with NASH or any specific hepatic lesion within NAFLD patients. Prospective studies are needed to confirm the hypothesis raised herein, before mechanistic studies attempt to elucidate mechanism and prove causality.

Clinical characteristics in patients with non-alcoholic steatohepatitis in Japan: a case–control study using a 5-year large-scale claims database

ObjectivesTo examine the clinical characteristics of patients with non-alcoholic steatohepatitis (NASH) and associated comorbidities.DesignA case–control study using the national health insurance and the long-term elderly health insurance claims database.SettingEligible patients...

Impact of fibrosis on liver-related event incidence in nonalcoholic fatty liver disease: A multicenter observational study.

There are few reports on the prognosis of liver-related events in Japanese patients with nonalcoholic fatty liver disease (NAFLD). We undertook an observational study to compare the prognosis between fibrotic and nonfibrotic groups in Japanese NAFLD patients. Prognosis in 393 NAFLD patients who underwent liver biopsy between April 2013 and April 2015 at multiple centers were investigated. The time to onset of liver-related events, cardiovascular events, development of extrahepatic cancers, and death were compared between the pathologically fibrotic nonalcoholic steatohepatitis (NASH) group and nonalcoholic fatty liver (NAFL)+nonfibrotic NASH group. A similar analysis was carried out based on the fibrotic classification diagnosed using four noninvasive fibrosis prediction models. The mean age and body mass index at the time of liver biopsy was 55.7years old and 28.04kg/m2 , respectively The cumulative incidence of liver-related events at 1080days after liver biopsy was 5.79% in the pathologically fibrotic NASH group and 0% in the NAFL+nonfibrotic NASH group, with a significant difference (p=0.0334). The cumulative incidence of liver-related events was significantly higher in the positive group for the prediction model than in the negative group in all four models (all p values were <0.0001). There was no significant difference between the pathologically fibrotic NASH group and NAFL+nonfibrotic NASH group in terms of cumulative incidence of cardiovascular events, development of extrahepatic cancers, and death. The incidence of liver-related events was significantly higher in the fibrotic NASH group than that of the NAFL+nonfibrotic NASH group in Japanese NAFLD patients.

Effect of Kinins on the Hepatic Oxidative Stress in Mice Treated with a Methionine-Choline Deficient Diet.

Non-alcoholic fatty liver is the leading cause of hepatic disease worldwide and ranges from simple steatosis to non-alcoholic steatohepatitis (NASH) due to cell injury, oxidative stress, and apoptosis. The kinins' role in the liver has been studied in experimental fibrosis, partial hepatectomy, and ischemia-reperfusion and is related to cell death and regeneration. We investigated its role in experimental NASH induced by a methionine-choline deficient diet for 4 weeks. After that, liver perfusion was performed, and bradykinin (BK) or des-Arg9-BK was infused. Cell death was evaluated by cathepsin-B and caspase-3 activity and oxidative stress by catalase (CAT), glutathione S-transferase, and superoxide dismutase (SOD) activities, as well as malondialdehyde and carbonylated proteins. In control livers, DABK increased CAT activity, which was reversed by antagonist DALBK. In the NASH group, kinins tend to decrease antioxidant activity, with SOD activity being significantly reduced by BK and DABK. Malondialdehyde levels increased in all NASH groups, but carbonylated protein did not. DABK significantly decreased cathepsin-B in the NASH group, while caspase-3 was increased by BK in control animals. Our results suggest that B1R and/or B2R activation did not induce oxidative stress but affected the antioxidant system, reducing SOD in the NASH group.

Biomarkers of Type IV Collagen Turnover Reflect Disease Activity in Patients with Early-Stage Non-Alcoholic Fatty Liver (NAFL).

Identification of progressive liver disease necessitates the finding of novel non-invasive methods to identify and monitor patients in need of early intervention. Investigating patients with early-liver injury may help identify unique biomarkers. Early-liver injury is characterized by remodeling of the hepatocyte basement membrane (BM) of the extracellular matrix. Thus, we quantified biomarkers targeting two distinct neo-epitopes of the major BM collagen, type IV collagen (PRO-C4 and C4M), in patients spanning the non-alcoholic fatty liver disease (NAFLD) spectrum. We evaluated PRO-C4 and C4M in a cross-sectional study with 97 patients with NAFLD confirmed on histology. Serological levels of PRO-C4 and C4M were quantified using validated competitive enzyme-linked immunosorbent assays (ELISA). Using the fatty liver inhibition of progression (FLIP) algorithm, we stratified patients into two groups: non-alcoholic fatty liver (NAFL) and non-alcoholic steatohepatitis (NASH). Biomarker levels were investigated in the two groups in patients stratified by the NAFLD activity score (NAS). In both groups, biomarker measurements were analyzed in relation to histological scorings of steatosis, inflammation, ballooning, and fibrosis. Patients had a body mass index (BMI) of 30.9 ± 5.6 kg/m2, age of 53 ± 13 years and a NAS range of 1-8. Upon stratification by FLIP, the NASH patients had higher platelets, ALT, and AST levels than the NAFL group. Both PRO-C4 (p = 0.0125) and C4M (p = 0.003) increased with increasing NAS solely within the NAFL group; however, a large variability was present in the NASH group. Furthermore, both markers were significantly associated with lobular inflammation (p = 0.020 and p = 0.048) and steatosis (p = 0.004 and p = 0.015) in patients with NAFL. This study found that type IV collagen turnover increased with the increase in NAS in patients with NAFL; however, this was not the case in patients with NASH. These findings support the assessments of the BM turnover using biomarkers in patients with early-disease development. These biomarkers may be used to track specific processes involved in the early pathobiology of NAFL.