Project description:EMG produced TPA metagenomics assembly of the PRJNA373901 data set (Novel gut-microbiota based metagenomic signature for advanced fibrosis in nonalcoholic fatty liver disease).
Project description:Nonalcoholic fatty liver disease represents a spectrum of pathology that ranges from benign steatosis to potentially-progressive steatohepatitis and affects more than 30% of US adults. Advanced NAFLD is associated with increased morbidity and mortality from cirrhosis, primary liver cancer, cardiovascular disease and extrahepatic cancers. Accurate identification of patients at risk for advanced NAFLD is challenging. The aims of this study were to define the liver gene expression patterns that distinguish mild from advanced NAFLD and to develop a gene expression profile associated with advanced NAFLD. We analyzed total RNA from 72 patients with NAFLD (40 with mild NAFLD, fibrosis stage 0-1 and 32 with advanced NAFLD, fibrosis stage 3-4) and developed a gene profile associated with advanced NAFLD. This dataset is part of the TransQST collection.
Project description:Nonalcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide. Nonalcoholic steatohepatitis (NASH), the progressive form of NAFLD, and advanced fibrosis are associated with poor outcomes but their molecular pathogenesis is not fully elucidated. Global RNA sequencing of snap frozen liver tissue from 98 patients with biopsy-proven NAFLD was performed. Unsupervised hierarchical clustering well-distinguished NASH from NAFL, and NASH patients exhibited molecular abnormalities reflecting their pathological features. Transcriptomic analysis identified multiple secreted proteins upregulated in NASH and/or advanced fibrosis
Project description:Background & Aims: Cirrhosis and liver cancer are potential outcomes of advanced nonalcoholic fatty liver disease (NAFLD). It is not clear what factors determine whether patients will develop advanced or mild NAFLD, limiting non-invasive diagnosis and treatment before clinical sequelae emerge. We investigated whether DNA methylation profiles can distinguish patients with mild disease from those with advanced NAFLD, and how these patterns are functionally related to hepatic gene expression. Methods: We collected frozen liver biopsies and clinical data from patients with biopsy-proven NAFLD (56 in the discovery cohort and 34 in the replication cohort). Samples were divided into groups based on histologic severity of fibrosis: F0?1 (mild) and F3?4 (advanced). DNA methylation profiles were determined and coupled with gene expression data from the same biopsies; differential methylation was validated in subsets of the discovery and replication cohorts. We then analyzed interactions between the methylome and transcriptome. Results: Clinical features did not differ between patients known to have mild or advanced fibrosis based on biopsy analysis. There were 69,247 differentially methylated CpG sites (76% hypomethylated, 24% hypermethylated) in patients with advanced vs mild NAFLD (P<.05). Methylation at FGFR2, MAT1A, and CASP1 was validated by bisulfite pyrosequencing and the findings were reproduced in the replication cohort. Methylation correlated with gene transcript levels for 7% of differentially methylated CpG sites, indicating that differential methylation contributes to differences in expression. In samples with advanced NAFLD, many tissue repair genes were hypomethylated and overexpressed, whereas genes in certain metabolic pathways, including 1-carbon metabolism, were hypermethylated and under-expressed. Conclusions: Functionally relevant differences in methylation can distinguish patients with advanced vs mild NAFLD. Altered methylation of genes that regulate processes such as steatohepatitis, fibrosis, and carcinogenesis indicate the role of DNA methylation in progression of NAFLD. Three technical replicates were included for quality control along with 35 mild NAFLD (33 unique samples) and 24 advanced NAFLD (23 unique sample). One sample per technical duplication was randomly included for a total of 56 NAFLD samples used for study.
Project description:Nonalcoholic steatohepatitis (NASH) and associated liver fibrosis have limited therapy options. We report a novel adiponectin-based dual agonist for adiponectin receptors 1 and 2 with a longer half-life, and show that it ameliorates NASH and liver fibrosis in mouse models.
Project description:Dysregulation of the gut microbiome has been implicated in the progression of nonalcoholic fatty liver disease (NAFLD) to advanced fibrosis and cirrhosis. To determine the diagnostic capacity of this association, stool microbiomes were compared across 163 well-characterized participants encompassing non-NAFLD controls, NAFLD-cirrhosis patients and their first-degree relatives. Interrogation of shotgun metagenomic and untargeted metabolomic profiles using the Random Forest machine learning algorithm and differential abundance analysis identified discrete metagenomic and metabolomic signatures that were similarly effective in detecting cirrhosis (diagnostic accuracy 0.91, AUC). Combining the metagenomic signature with age and serum albumin levels accurately distinguished cirrhosis in etiologically and genetically distinct cohorts from geographically separated regions. Additional inclusion of serum aspartate aminotransferase levels, which are increased in cirrhosis patients, enabled discrimination of cirrhosis from earlier stages of fibrosis. These findings demonstrate that a core set of gut microbiome species may offer universal utility as a non-invasive diagnostic test for cirrhosis.
Project description:Using a high fat diet (HFD) mouse model of nonalcoholic fatty liver disease (NAFLD) with 60% of the energy derived from fat, we determined the effects of AC261066, a RARbeta2 selective agonist, on the liver transcriptome. We analyzed disease signature pathways using our genome-wide RNA-seq data from AC260166 treated livers and show that AC261066 limits the mRNA increases of NAFLD driver genes PKLR, FASN, THRSP, and CHCHD6. Moreover, AC261066’s effects on the hepatic stellate cell (HSC) secretome signature and changes in other transcripts that contribute to fibrosis suggest that AC261066 suppresses the initiation of liver fibrosis, which characterizes NASH. Our RNA-seq data also indicate an anti-inflammatory effect of AC261066. In conclusion, based on our genome-wide analysis of the transcriptome of NAFLD, we suggest that AC261066 has potential therapeutic relevance for the prevention/treatment of NAFLD and NASH.
Project description:Immunosenescence and exhaustion are involved in the development and progression of type 2 diabetes (T2D) and metabolic liver diseases, including fatty liver, fibrosis, and cirrhosis, in humans. However, the relationships of the senescence and exhaustion of T cells with insulin resistance-associated liver diseases remain incompletely understood. To better define the relationship of T2D with nonalcoholic fatty liver disease, 59 patients with T2D were studied.
Project description:This SuperSeries is composed of the following subset Series: GSE30447: Foxa1 Reduces Lipid Accumulation in Human Hepatocytes and Is Down-regulated in Nonalcoholic Fatty Liver (HepG2 data) GSE30450: Foxa1 Reduces Lipid Accumulation in Human Hepatocytes and Is Down-regulated in Nonalcoholic Fatty Liver (hepatocytes data) Refer to individual Series
Project description:Background & Aims: Cirrhosis and liver cancer are potential outcomes of advanced nonalcoholic fatty liver disease (NAFLD). It is not clear what factors determine whether patients will develop advanced or mild NAFLD, limiting non-invasive diagnosis and treatment before clinical sequelae emerge. We investigated whether DNA methylation profiles can distinguish patients with mild disease from those with advanced NAFLD, and how these patterns are functionally related to hepatic gene expression. Methods: We collected frozen liver biopsies and clinical data from patients with biopsy-proven NAFLD (56 in the discovery cohort and 34 in the replication cohort). Samples were divided into groups based on histologic severity of fibrosis: F0?1 (mild) and F3?4 (advanced). DNA methylation profiles were determined and coupled with gene expression data from the same biopsies; differential methylation was validated in subsets of the discovery and replication cohorts. We then analyzed interactions between the methylome and transcriptome. Results: Clinical features did not differ between patients known to have mild or advanced fibrosis based on biopsy analysis. There were 69,247 differentially methylated CpG sites (76% hypomethylated, 24% hypermethylated) in patients with advanced vs mild NAFLD (P<.05). Methylation at FGFR2, MAT1A, and CASP1 was validated by bisulfite pyrosequencing and the findings were reproduced in the replication cohort. Methylation correlated with gene transcript levels for 7% of differentially methylated CpG sites, indicating that differential methylation contributes to differences in expression. In samples with advanced NAFLD, many tissue repair genes were hypomethylated and overexpressed, whereas genes in certain metabolic pathways, including 1-carbon metabolism, were hypermethylated and under-expressed. Conclusions: Functionally relevant differences in methylation can distinguish patients with advanced vs mild NAFLD. Altered methylation of genes that regulate processes such as steatohepatitis, fibrosis, and carcinogenesis indicate the role of DNA methylation in progression of NAFLD.