<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yan S</submitter><funding>Beijing Municipal Science &amp;amp; Technology Commission</funding><pagination>497</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9795602</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>20(1)</volume><pubmed_abstract>The pathogenesis of immunoglobulin G4-related disease (IgG4-RD) remains unclear. IgG4-RD often mimics other diseases, including pancreatic cancer (PC) and Sjogren's syndrome (SS), which may easily lead to misdiagnosis. This study was performed to explore the metabolite changes and potential biomarkers of IgG4-RD and other misdiagnosed diseases. Untargeted liquid chromatography-tandem mass spectrometry metabolomics profiling of plasma samples from a cohort comprising healthy controls (HCs) and patients with IgG4-RD (n = 87), PC (n = 33), and SS (n = 31) was performed. A random forest machine learning model was used to verify the relevance of the identified metabolites in the diagnosis of different diseases and the prediction of disease prognosis. The ATP-binding cassette transporter pathway</pubmed_abstract><journal>BMC medicine</journal><pubmed_title>Distinct metabolic biomarkers to distinguish IgG4-related disease from Sjogren's syndrome and pancreatic cancer and predict disease prognosis.</pubmed_title><pmcid>PMC9795602</pmcid><funding_grant_id>No. Z201100005520023</funding_grant_id><pubmed_authors>Zhang W</pubmed_authors><pubmed_authors>Peng Y</pubmed_authors><pubmed_authors>Wu Z</pubmed_authors><pubmed_authors>Li H</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Huang Y</pubmed_authors><pubmed_authors>Cheng L</pubmed_authors><pubmed_authors>Yan S</pubmed_authors><pubmed_authors>Xu H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Distinct metabolic biomarkers to distinguish IgG4-related disease from Sjogren's syndrome and pancreatic cancer and predict disease prognosis.</name><description>The pathogenesis of immunoglobulin G4-related disease (IgG4-RD) remains unclear. IgG4-RD often mimics other diseases, including pancreatic cancer (PC) and Sjogren's syndrome (SS), which may easily lead to misdiagnosis. This study was performed to explore the metabolite changes and potential biomarkers of IgG4-RD and other misdiagnosed diseases. Untargeted liquid chromatography-tandem mass spectrometry metabolomics profiling of plasma samples from a cohort comprising healthy controls (HCs) and patients with IgG4-RD (n = 87), PC (n = 33), and SS (n = 31) was performed. A random forest machine learning model was used to verify the relevance of the identified metabolites in the diagnosis of different diseases and the prediction of disease prognosis. The ATP-binding cassette transporter pathway</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2025-04-05T15:42:35.27Z</modification><creation>2024-11-06T12:42:16.693Z</creation></dates><accession>S-EPMC9795602</accession><cross_references><pubmed>36575511</pubmed><doi>10.1186/s12916-022-02700-x</doi></cross_references></HashMap>