UPLC-MS based plasma metabolomics and lipidomics reveal alterations associated with IgG4-related disease. (20th December 2020)

• Record Type: Journal Article
• 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
• Is Part Of: Rheumatology. Volume 60:Number 7(2021)
• Page Start: 3252
• Page End: 3261
• Publication Date: 2020-12-20
• Subjects: IgG4-related disease -- metabolomics -- lipidomics -- UPLC-MS -- biomarkers; Rheumatism -- Periodicals; Rheumatology -- Periodicals; 616.723005
• DOI: 10.1093/rheumatology/keaa775
• Languages: English
• ISSNs: 1462-0324

Abstract

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.