Urinary Metabolomics Study of Patients with Gout Using Gas Chromatography-Mass Spectrometry
Joint Authors
Wen, Chengping
Li, Qianqian
Wei, Shuangshuang
Wu, Dehong
Zhou, Jia
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Objectives.
Gout is a common type of inflammatory arthritis.
The aim of this study was to detect urinary metabolic changes in gout patients which may contribute to understanding the pathological mechanism of gout and discovering potential metabolite markers.
Methods.
Urine samples from 35 gout patients and 29 healthy volunteers were analyzed by gas chromatography–mass spectrometry (GC–MS).
Orthogonal partial least-squares discriminant analysis (OPLS-DA) was performed to screen differential metabolites between two groups, and the variable importance for projection (VIP) values and Student’s t-test results were combined to define the significant metabolic changes caused by gout.
Further, binary logistic regression analysis was performed to establish a model to distinguish gout patients from healthy people, and receiver operating characteristic (ROC) curve was made to evaluate the potential for diagnosis of gout.
Result.
A total of 30 characteristic metabolites were significantly different between gout patients and controls, mainly including amino acids, carbohydrates, organic acids, and their derivatives, associated with perturbations in purine nucleotide synthesis, amino acid metabolism, purine metabolism, lipid metabolism, carbohydrate metabolism, and tricarboxylic acid cycle.
Binary logistic regression and ROC curve analysis showed the combination of urate and isoxanthopterin can effectively discriminate the gout patients from controls with the area under the curve (AUC) of 0.879.
Conclusion.
Thus, the urinary metabolomics study is an efficient tool for a better understanding of the metabolic changes of gout, which may support the clinical diagnosis and pathological mechanism study of gout.
American Psychological Association (APA)
Li, Qianqian& Wei, Shuangshuang& Wu, Dehong& Wen, Chengping& Zhou, Jia. 2018. Urinary Metabolomics Study of Patients with Gout Using Gas Chromatography-Mass Spectrometry. BioMed Research International،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1125825
Modern Language Association (MLA)
Li, Qianqian…[et al.]. Urinary Metabolomics Study of Patients with Gout Using Gas Chromatography-Mass Spectrometry. BioMed Research International No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1125825
American Medical Association (AMA)
Li, Qianqian& Wei, Shuangshuang& Wu, Dehong& Wen, Chengping& Zhou, Jia. Urinary Metabolomics Study of Patients with Gout Using Gas Chromatography-Mass Spectrometry. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1125825
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1125825