Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1154708 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:While technological advancements have improved our understanding of fibrogenesis, identifying advanced fibrosis in the general population remains challenging due to clinical heterogeneity influenced by underlying causes, comorbidities, and lifestyle factors. A systems-level characterization of metabolic and signaling dysregulation could effectively capture the signatures driving liver fibrosis across different etiologies. In this study, we utilized a data-driven multi-omics approach, encompassing liver transcriptomics and plasma proteomics, to thoroughly characterize patients across the pathological spectrum, from early-stage fibrosis to cirrhosis and associated HCC.
2025-01-19 | GSE276114 | GEO
Project description:The aim of this study is to compare mild and advanced liver fibrosis gene expression profiling and to identify novel markers of fibrosis progression. By transcriptome analysis with a cDNA array virtually covering every transcript in liver, we compared transcript levels in mild (F1 Metavir score) and advanced (F4 Metavir score) fibrosis. A stringent selection identified a list of 16 transcripts which completely separated the 2 groups of patients (8 F1 and 8 F4). We report that dysregulations at the transcriptional level do exist between mild fibrosis (F1) and advanced fibrosis (F4). Keywords: fibrosis stage-dependent analysis Fibrosis samples were analyzed for 16 patients : 8 mild fibrosis (F1-1 to F1-8) and 8 advanced fibrosis (F4-1 to F4-8). All data in the current study were obtained from 3 separate hybridizations per RNA sample.
2008-05-24 | E-GEOD-11536 | biostudies-arrayexpress
Project description:The aim of this study is to compare mild and advanced liver fibrosis gene expression profiling and to identify novel markers of fibrosis progression. By transcriptome analysis with a cDNA array virtually covering every transcript in liver, we compared transcript levels in mild (F1 Metavir score) and advanced (F4 Metavir score) fibrosis. A stringent selection identified a list of 16 transcripts which completely separated the 2 groups of patients (8 F1 and 8 F4). We report that dysregulations at the transcriptional level do exist between mild fibrosis (F1) and advanced fibrosis (F4). Keywords: fibrosis stage-dependent analysis
2008-05-24 | GSE11536 | GEO
Project description:Advanced hepatic fibrosis, driven by the activation of hepatic stellate cells (HSCs), affects millions world-wide and is the strongest predictor of mortality in non-alcoholic steatohepatitis (NASH), yet there are no approved anti-fibrotic therapies. To identify novel anti-fibrotic drug targets, we integrated progressive transcriptomic and morphological responses that accompany HSC activation in advanced disease using single nuclear RNA sequencing and tissue clearing in a robust, murine NASH model. In advanced fibrosis, an autocrine HSC signaling circuit emerges that is comprised of 68 receptor-ligand interactions conserved between murine and human NASH. These predicted interactions are supported by the parallel appearance of markedly increased direct stellate cell-cell contacts in murine NASH. As proof of principle, pharmacological inhibition of one such autocrine interaction, NTRK3-NTF3, inhibits human HSC activation in culture and reverses advanced murine NASH-fibrosis in vivo. We have uncovered a novel repertoire of previously uncharacterized anti-fibrotic drug targets underlying advanced fibrosis in vivo. The findings suggest a novel therapeutic paradigm in which stage-specific therapies could yield enhanced anti-fibrotic efficacy in patients with advanced fibrosis.
2022-10-21 | GSE212837 | GEO
Project description:Background: Schistosoma japonicum (S. japonicum) is a parasitic flatworm that is the aetiological agent of human schistosomiasis, an important cause of hepatic fibrosis. Schistosomiasis-induced hepatic fibrosis is a consequence of the highly fibrogenic nature of egg-induced granulomatuous lesions, the main pathogenic factor of schistosomiasis. Although global awareness of the association between schistosomiasis-indued hepatic fibrosis and s. japonicum infection is increasing, little is known about the molecular differences associated with rapid progression to schistosomiasis in cirrhotic patients. Methods: We systematically used data-independent acquisition (DIA)-based liquid chromatography-mass spectrometry to identify differentially expressed proteins in serum samples from patients with advanced S. japonicum-induced hepatic fibrosis. Results: On the basis of our analysis, we identified 1,144 proteins, among which 66 were differentially expressed between the healthy control and SHF-F2 groups and 214 were differentially expressed between the SHF-F2 and SHF-F4 groups (up- or downregulation of at least 1.5-fold in serum samples). Furthermore, our results indicated that two selected proteins (C1QA and CFD) are potential biomarkers for distinguishing patients with SHF-F2 and SHF-F4 resulting from S. japonicum infection. Conclusions: This report is the first to provide a global proteomic profile of serum samples from patients with advanced S. japonicum-induced hepatic fibrosis. C1QA and CFD are potentially diagnostic markers for patients with SHF-F2 and SHF-F4 resulting from S. japonicum infection, although further large-scale studies are needed. Our DIA-based quantitative proteomic analysis revealed molecular differences among individuals with different stages of advanced S. japonicum-induced hepatic fibrosis and might provide fundamental information for further detailed investigations.
2022-09-06 | PXD025224 | Pride
Project description:Non-alcoholic steatohepatitis (NASH) is a serious health challenge affecting millions worldwide, and research advances are restricted by the limited availability of preclinical models recapitulating the complex disease etiology and hepatic histopathology. Uniquely, the diet induced guinea pig model develops NASH with fibrosis resembling human histopathology however, no data is available depicting the guinea pig NASH transcriptome. We provide the first high throughput sequencing results on guinea pig NASH with advanced fibrosis. Transcriptomic profiles in guinea pig NASH clearly separated from controls, and pathways involved in fibrosis, inflammation and lipid metabolism were all highly regulated.
2021-10-06 | GSE158168 | GEO
Project description:Background/Aim: We investigated alterations in the expression of serum exosomal miRNAs with the progression of liver fibrosis and evaluated their clinical applicability as biomarkers. Methods: This study prospectively enrolled 71 patients who underwent liver biopsy at an academic hospital in Korea. Exosomes were extracted from serum samples, followed by next-generation sequencing (NGS) of miRNAs and targeted real-time quantitative polymerase chain reaction. A model was derived to discriminate advanced fibrosis based on miRNA levels and the performance of this model was evaluated. Validation of the effect of miRNA on liver fibrosis in vitro was followed. Methods: This study prospectively enrolled 71 patients who underwent liver biopsy at an academic hospital in Korea. Exosomes were extracted from serum samples, followed by next-generation sequencing (NGS) of miRNAs and targeted real-time quantitative polymerase chain reaction. A model was derived to discriminate advanced fibrosis based on miRNA levels and the performance of this model was evaluated. Validation of the effect of miRNA on liver fibrosis in vitro was followed. Results: NGS data revealed that exosomal miR-660-5p, miR-125a-5p, and miR-122 expression were changed significantly with the progression of liver fibrosis, of which miR-122 exhibited high read counts enough to be used as a biomarker. The level of exosomal miR-122 decreased as the pathologic fibrosis grade progressed and patients with biopsy-proven advanced fibrosis had significantly lower levels of exosomal miR-122 (P < 0.001) than those without advanced fibrosis. Exosomal miR-122 exhibited a fair performance in discriminating advanced fibrosis especially in combination with fibrosis-4 score and transient elastography. In a subgroup of patients with a non-viral etiology of liver disease, the performance of exosomal miR-122 as a biomarker was greatly improved. Inhibition of miR-122 expression increased the proliferation of the human hepatic stellate cell line, LX-2, and upregulated the expression of various fibrosis related proteins. Conclusion: Exosomal miR-122 may serve as a useful non-invasive biomarker for liver fibrosis, especially in patients with non-viral etiologies of chronic liver disease.
2021-07-15 | GSE179961 | GEO
Project description:To determine gene signatures associated with advanced liver fibrosis, we undertook RNA-sequencing of liver biopsies from patients presenting with different aetiologies (HCV or FLD) and fibrosis stages (n=69 patients). This dataset is part of the TransQST collection.
2018-07-28 | E-MTAB-6863 | biostudies-arrayexpress
Project description:Transcriptomic profiling of guinea pigs with NASH and advanced fibrosis
| PRJNA664197 | ENA
Project description:This study describes the survival outcomes of advanced stage breast, colorectal, ovarian and pancreatic cancer patients receiving advanced integrative oncology (AIO) treatment at participating North American integrative oncology clinics. This study also aims to describe the integrative treatments recommended by naturopathic doctors (NDs) for these participants alongside their conventional care treatments. Sub-studies will evaluate health-related quality of life, cost of cancer care, and qualitative experience of care in a subset of Canadian participants.
| 2193841 | ecrin-mdr-crc