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UPLC-MS based plasma metabolomics and lipidomics reveal alterations associated with IgG4-related disease.

Authors :
Gong, Yiyi
Zhang, Panpan
Liu, Zheng
Li, Jieqiong
Lu, Hui
Wang, Yujie
Qiu, Bintao
Wang, Mu
Fei, Yunyun
Chen, Hua
Peng, Linyi
Li, Jing
Zhou, Jiaxin
Shi, Qun
Zhang, Xuan
Shen, Min
Zeng, Xiaofeng
Zhang, Fengchun
Zhang, Wen
Source :
Rheumatology. Jul2021, Vol. 60 Issue 7, p3252-3261. 10p.
Publication Year :
2021

Abstract

Objective The pathogenesis of IgG4-related disease (IgG4-RD) remains unclear. Metabolomic profiling of IgG4-RD patients offers an opportunity to identify novel pathophysiological targets and biomarkers. This study aims to identify potential plasma biomarkers associated with IgG4-RD. Methods Thirty newly diagnosed IgG4-RD patients, age-matched healthy controls and post-treated IgG4-RD patients were enrolled. Patients' clinical data, laboratory parameters and plasma were collected. Plasma was measured for ultraperformance liquid chromatography-tandem mass spectrometry based metabolomics and lipidomics profiling. Multivariate and univariate statistical analyses were conducted to identify potential biomarkers. The receiver operating characteristic and the correlations between biomarkers and clinical parameters were investigated. Results The plasma metabolites are altered among healthy controls, newly diagnosed IgG4-RD and post-treated IgG4-RD groups. Of the identified features, eight metabolites were significantly perturbed in the IgG4-RD group, including glyceric acid 1,3-biphosphate (1,3-BPG), uridine triphosphate (UTP), uridine diphosphate glucose (UDP-Glc) or uridine diphosphate galactose (UDP-Gal), lysophospholipids, linoleic acid derivatives and ceramides. Receiver operating characteristic analysis indicated that UTP, UDP-Glc/UDP-Gal and LysoPC (18:1) had high sensitivity and specificity in diagnosis of IgG4-RD. A Pearson correlation analysis showed that 1,3-BPG and UTP were strongly correlated with clinical parameters. Conclusion IgG4-RD patients have a unique plasma metabolomic profile compared with healthy controls. Our study suggested that metabolomic profiling may provide important insights into pathophysiology and testable biomarkers for diagnosis of IgG4-RD. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14620324
Volume :
60
Issue :
7
Database :
Academic Search Index
Journal :
Rheumatology
Publication Type :
Academic Journal
Accession number :
151354270
Full Text :
https://doi.org/10.1093/rheumatology/keaa775