ArticleScientific reports2017
Serum Metabolomics Analysis Reveals a Distinct Metabolic Profile of Patients with Primary Biliary Cholangitis.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Machine Learning Predicts Treatment Response and Prognostic Pathways From Whole-Blood Transcriptome in Primary Biliary Cholangitis.Liver international : official journal of the International Association for the Study of the Liver · 2026Article
- Univariate- and machine learning-based plasma metabolite signature differentiates PSC-IBD from IBD and is predicted to be driven by gut microbial changes.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Differential metabolomic signatures in plasma and urine under mild and moderate hypothermia during cardiopulmonary bypass.Scientific reports · 2025Article
- Unraveling the gut-liver axis in autoimmune liver disease overlap syndrome: A multi-omics perspective.World journal of gastroenterology · 2025Article
- 1,400 genetically predicted plasma metabolites in relation to risk of primary biliary cholangitis: a bi-directional, two-sample Mendelian randomization analysis.Clinical and experimental hepatology · 2025Article
- Identification of secretory protein related biomarkers for primary biliary cholangitis based on machine learning and experimental validation.Open life sciences · 2025Article
- Association between diabetes mellitus and primary biliary cholangitis: a two-sample Mendelian randomization study.Frontiers in endocrinology · 2024Article
- Risk Stratification in Primary Biliary Cholangitis.Journal of clinical medicine · 2023Review
- Metabolite Alterations in Autoimmune Diseases: A Systematic Review of Metabolomics Studies.Metabolites · 2023Review
- Plasma lipidomics of primary biliary cholangitis and its comparison with Sjögren's syndrome.Frontiers in immunology · 2023Article
- The metabolomics of a protein kinase C delta (PKCδ) knock-out mouse model.Metabolomics : Official journal of the Metabolomic Society · 2022Article
- Serum metabolic profiling of targeted bile acids reveals potentially novel biomarkers for primary biliary cholangitis and autoimmune hepatitis.World journal of gastroenterology · 2022Article
- Fecal metabolomic profiles: A comparative study of patients with colorectal cancerWorld journal of gastroenterology · 2021Article
- Integration of global metabolomics and lipidomics approaches reveals the molecular mechanisms and the potential biomarkers for postoperative recurrence in early-stage cholangiocarcinoma.Cancer & metabolism · 2021Article
- Article
- Short-chain fatty acid and fecal microbiota profiles are linked to fibrosis in primary biliary cholangitis.FEMS microbiology letters · 2021Article
- Serum metabolome and targeted bile acid profiling reveals potential novel biomarkers for drug-induced liver injury.Medicine · 2019Observational
- NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice.Metabolomics : Official journal of the Metabolomic Society · 2019Article
- Targeted Metabolomic Analysis of Serum Fatty Acids for the Prediction of Autoimmune Diseases.Frontiers in molecular biosciences · 2019Article
- Fecal Metabolomics and Potential Biomarkers for Systemic Lupus Erythematosus.Frontiers in immunology · 2019Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Primary biliary cholangitis (PBC) is a chronic autoimmune liver disease associated with profound metabolic changes. The purpose of this study was to identify a distinctive metabolic signature from the training set with 29 PBC patients, 30 hepatitis B virus (HBV)-caused cirrhosis (HBC) and 41 healthy controls, and to validate the applicability and stability of the distinctive model from the validation set with 21 PBC patients, 7 autoimmune hepatitis (AIH) and 9 HBC. The sera were investigated using high resolution nuclear magnetic resonance (NMR) and the datasets were analyzed pairwise using pattern recognition methods. 45 distinguishable metabolites were identified and 15 metabolic pathways were reprogrammed. The altered metabolic pathways were associated with glucose, fatty acid and amino acid metabolites. Logistic regression and ROC analysis were used to establish a diagnostic model with the equated (p) = -12.22-3.46*log(4-hydroxyproline) + 6.62*log(3-hydroxyisovalerate) - 2.44*log(citraconate) - 3.80*log(pyruvate). The area under the curve (AUC) of the optimized model was 0.937 (95% confidence interval (CI): 0.868-0.976) in the training set and 0.890 (95% CI: 0.743-0.969) in the validation set. These results not only revealed the potential pathogenesis of PBC, but also provided a feasible diagnostic tool for PBC populations through detection of serum metabolites.
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