ArticlePloS one2022
Transcriptomic profiling of blood from autoimmune hepatitis patients reveals potential mechanisms with implications for management.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 5 citations in OpenAlex.
- Evolving Trends in Autoimmune Hepatitis Research: A Bibliometric Analysis From 2004 to 2024.Journal of cellular and molecular medicine · 2026Article
- Autoimmune Hepatitis: A Review of Molecular Mechanisms and Research Gaps in African Populations.Biology · 2026Review
- Unmet needs in autoimmune liver diseases.Current opinion in immunology · 2025Review
- Multi-omics-driven biomarker discovery in autoimmune diseases: a comprehensive review.Frontiers in immunology · 2025Review
- Article
- Manganese Exacerbates ConA-Induced Liver Inflammation via the cGAS-STING Signaling Pathway.Inflammation · 2024Article
- Early monocyte response following local ablation in hepatocellular carcinoma.Frontiers in oncology · 2022Article
- Artificial intelligence for precision medicine in autoimmune liver disease.Frontiers in immunology · 2022Review
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autoimmune hepatitis (AIH) is a poorly understood, chronic disease, for which corticosteroids are still the mainstay of therapy and most patients undergo liver biopsy to obtain a diagnosis. We aimed to determine if there was a transcriptomic signature of AIH in the peripheral blood and investigate underlying biologic pathways revealed by gene expression analysis. Whole blood RNA from 75 AIH patients and 25 healthy volunteers was extracted and sequenced. Differential gene expression analysis revealed 249 genes that were significantly differentially expressed in AIH patients compared to controls. Using a random forest algorithm, we determined that less than 10 genes were sufficient to differentiate the two groups in our cohort. Interferon signaling was more active in AIH samples compared to controls, regardless of treatment status. Pegivirus sequences were detected in five AIH samples and 1 healthy sample. The gene expression data and clinical metadata were used to determine 12 genes that were significantly associated with advanced fibrosis in AIH. AIH patients with a partial response to therapy demonstrated decreased evidence of a CD8+ T cell gene expression signal. These findings represent progress in understanding a disease in need of better tests, therapies, and biomarkers.
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Registered trials
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