http://dx.doi.org/10.1021/pr400415a">
 

Document Type

Journal Article

Authors

Miao Jiang, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences
Tianlu Chen, Center for Translational Medicine, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Hui Feng, Guanghua Integrative Medicine Hospital, Institute of Arthritis Research, Shanghai Academy of Chinese Medical Sciences
Yinan Zhang, Center for Translational Medicine, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Li Li, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences
Aihua Zhao, Center for Translational Medicine, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Xuyan Niu, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences
Fei Liang, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences
Minzhi Wang, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences
Junping Zhan, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences
Cheng Lu, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences
Xiaojuan He, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences
Lianbo Xiao, Guanghua Integrative Medicine Hospital, Institute of Arthritis Research, Shanghai Academy of Chinese Medical Sciences
Wei Jia, Center for Translational Medicine, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Aiping Lu, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical SciencesFollow

Department/Unit

School of Chinese Medicine

Title

Serum metabolic signatures of four types of human arthritis

Language

English

Abstract

Similar symptoms of the different types of arthritis have continued to confound the clinical diagnosis and represent a clinical dilemma making treatment choices with a more personalized or generalized approach. Here we report a mass spectrometry-based metabolic phenotyping study to identify the global metabolic defects associated with arthritis as well as metabolic signatures of four major types of arthritis - rheumatoid arthritis (n = 27), osteoarthritis (n = 27), ankylosing spondylitis (n = 27), and gout (n = 33) - compared with healthy control subjects (n = 60). A total of 196 metabolites were identified from serum samples using a combined gas chromatography coupled with time-of-flight mass spectrometry (GC-TOF MS) and ultraperformance liquid chromatography quadrupole-time-of-flight mass spectrometry (UPLC-QTOF MS). A global metabolic profile is identified from all arthritic patients, suggesting that there are common metabolic defects resulting from joint inflammation and lesion. Meanwhile, differentially expressed serum metabolites are identified constituting an unique metabolic signature of each type of arthritis that can be used as biomarkers for diagnosis and patient stratification. The results highlight the applicability of metabonomic phenotyping as a novel diagnostic tool for arthritis complementary to existing clinical modalities. © 2013 American Chemical Society.

Keywords

ankylosing spondylitis, gouty arthritis, metabonomics, osteoarthritis, rheumatoid arthritis

Publication Date

2013

Source Publication Title

Journal of Proteome Research

Volume

12

Issue

8

Start Page

3769

End Page

3779

Publisher

American Chemical Society

ISSN (print)

15353893

ISSN (electronic)

15353907

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