Metabolic Disturbances in Adult-Onset Still's Disease Evaluated Using Liquid Chromatography/Mass Spectrometry-Based Metabolomic Analysis

被引:10
作者
Chen, Der-Yuan [1 ,2 ,3 ,4 ,5 ]
Chen, Yi-Ming [1 ,2 ,3 ,4 ]
Chien, Han-Ju [6 ]
Lin, Chi-Chen [3 ,4 ]
Hsieh, Chia-Wei [2 ,3 ,4 ]
Chen, Hsin-Hua [1 ,2 ,3 ,4 ]
Hung, Wei-Ting [1 ,2 ]
Lai, Chien-Chen [3 ,4 ,6 ]
机构
[1] Natl Yang Ming Univ, Fac Med, Taipei, Taiwan
[2] Taichung Vet Gen Hosp, Div Allergy Immunol & Rheumatol, Taichung, Taiwan
[3] Natl Chung Hsing Univ, PhD Program Translat Med, Taichung, Taiwan
[4] Natl Chung Hsing Univ, Rong Hsing Res Ctr Translat Med, Taichung, Taiwan
[5] Chung Shan Med Univ, Inst Biochem Microbiol & Immunol, Taichung, Taiwan
[6] Natl Chung Hsing Univ, Inst Mol Biol, Taichung, Taiwan
关键词
RHEUMATIC-DISEASES; CYTOKINE PROFILES; PERIPHERAL-BLOOD; ASSOCIATION; MS; MANIFESTATIONS; INTERLEUKIN-18; INFLAMMATION; METHODOLOGY; ACTIVATION;
D O I
10.1371/journal.pone.0168147
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Objective Liquid chromatography/mass spectrometry (LC/MS)-based comprehensive analysis of metabolic profiles with metabolomics approach has potential diagnostic and predictive implications. However, no metabolomics data have been reported in adult-onset Still's disease (AOSD). This study investigated the metabolomic profiles in AOSD patients and examined their association with clinical characteristics and disease outcome. Methods Serum metabolite profiles were determined on 32 AOSD patients and 30 healthy controls (HC) using ultra-performance liquid chromatography (UPLC)/MS analysis, and the differentially expressed metabolites were quantified using multiple reactions monitoring (MRM)/MS analysis in 44 patients and 42 HC. Pure standards were utilized to confirm the presence of the differentially expressed metabolites. Results Eighteen differentially expressed metabolites were identified in AOSD patents using LC/MS-based analysis, of which 13 metabolites were validated by MRM/MS analysis. Among them, serum levels of lysoPC(18: 2), urocanic acid and indole were significantly lower, and L-phenylalanine levels were significantly higher in AOSD patients compared with HC. Moreover, serum levels of lysoPC(18: 2), PhePhe, uridine, taurine, L-threonine, and (R)-3-Hydroxy-hexadecanoic acid were significantly correlated with disease activity scores (all p<0.05) in AOSD patients. A different clustering of metabolites was associated with a different disease outcome, with significantly lower levels of isovalerylsarcosine observed in patients with chronic articular pattern (median, 77.0AU/ml) compared with monocyclic (341.5AU/ml, p<0.01) or polycyclic systemic pattern (168.0AU/ml, p<0.05). Conclusion Thirteen differentially expressed metabolites identified and validated in AOSD patients were shown to be involved in five metabolic pathways. Significant associations of metabolic profiles with disease activity and outcome of AOSD suggest their involvement in AOSD pathogenesis.
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页数:16
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