Literature DB >> 32439397

Plasma metabolomics study of Vogt-Koyanagi-Harada disease identifies potential diagnostic biomarkers.

Lin Chen1, Rui Chang1, Su Pan1, Jing Xu1, Qingfeng Cao1, Guannan Su1, Chunjiang Zhou1, Aize Kijlstra2, Peizeng Yang3.   

Abstract

Vogt-Koyanagi-Harada (VKH) disease is a common type of uveitis in China, but the diagnosis criteria of VKH disease is controversial. The aim of this study was to investigate potential diagnostic plasma biomarkers for VKH disease. A case-control study including 55 VKH patients (28 active patients and 27 inactive VKH patients) and 30 healthy controls in a tertiary referral center was performed. The metabolic phenotype of VKH patients showed a significant difference compared to healthy controls. Fifteen differentially expressed metabolites (DEMs) were identified between active VKH patients and healthy controls and nine DEMs were found between inactive VKH patients and healthy controls after controlling variable importance in the projection (VIP) value > 1 and false discovery rate (FDR) < 0.05. D-mannose, stearic acid and L-lysine were shown to be potential diagnostic biomarkers which can discriminate active VKH patients from healthy controls with a diagnostic performance with AUC = 0.965, 0.936 and 0.910 respectively in independent diagnosis and an AUC = 0.999 when combined. Sarcosine was recognized as an independent potential biomarker which could distinguish inactive VKH patients from healthy controls. This study reveals a significant difference of plasma metabolic phenotype and identifies diagnostic biomarkers for VKH disease. Changes in the metabolic profile may provide clues towards the pathophysiology of VKH disease.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Diagnostic biomarkers; Plasma metabolomics; VKH disease

Year:  2020        PMID: 32439397     DOI: 10.1016/j.exer.2020.108070

Source DB:  PubMed          Journal:  Exp Eye Res        ISSN: 0014-4835            Impact factor:   3.467


  4 in total

1.  Identification of Urine Metabolic Biomarkers for Vogt-Koyanagi-Harada Disease.

Authors:  Rui Chang; Ying Zhu; Jing Xu; Lin Chen; Guannan Su; Aize Kijlstra; Peizeng Yang
Journal:  Front Cell Dev Biol       Date:  2021-02-25

2.  Serum Metabolomic Profiling of Patients with Non-Infectious Uveitis.

Authors:  Hiroyuki Shimizu; Yoshihiko Usui; Masaki Asakage; Naoya Nezu; Ryo Wakita; Kinya Tsubota; Masahiro Sugimoto; Hiroshi Goto
Journal:  J Clin Med       Date:  2020-12-06       Impact factor: 4.241

3.  Tissue-based metabolomics reveals metabolic signatures and major metabolic pathways of gastric cancer with help of transcriptomic data from TCGA.

Authors:  Yaqin Wang; Wenchao Chen; Kun Li; Gang Wu; Wei Zhang; Peizhi Ma; Siqi Feng
Journal:  Biosci Rep       Date:  2021-10-29       Impact factor: 3.840

4.  Serum Metabolic Profiling of Late-Pregnant Women With Antenatal Depressive Symptoms.

Authors:  Qiang Mao; Tian Tian; Jing Chen; Xunyi Guo; Xueli Zhang; Tao Zou
Journal:  Front Psychiatry       Date:  2021-07-08       Impact factor: 4.157

  4 in total

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