Serum Metabolomics Signatures Associated With Ankylosing Spondylitis and TNF Inhibitor Therapy

Ankylosing spondylitis (AS) is a type of spondyloarthropathies, the diagnosis of which is often delayed. The lack of early diagnosis tools often delays the institution of appropriate therapy. This study aimed to investigate the systemic metabolic shifts associated with AS and TNF inhibitors treatmen...

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Main Authors: Jiayong Ou, Min Xiao, Yefei Huang, Liudan Tu, Zena Chen, Shuangyan Cao, Qiujing Wei, Jieruo Gu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2021.630791/full
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spelling doaj-cb4b7f7d2fef4bd798a492d6a24c30482021-02-19T06:19:10ZengFrontiers Media S.A.Frontiers in Immunology1664-32242021-02-011210.3389/fimmu.2021.630791630791Serum Metabolomics Signatures Associated With Ankylosing Spondylitis and TNF Inhibitor TherapyJiayong OuMin XiaoYefei HuangLiudan TuZena ChenShuangyan CaoQiujing WeiJieruo GuAnkylosing spondylitis (AS) is a type of spondyloarthropathies, the diagnosis of which is often delayed. The lack of early diagnosis tools often delays the institution of appropriate therapy. This study aimed to investigate the systemic metabolic shifts associated with AS and TNF inhibitors treatment. Additionally, we aimed to define reliable serum biomarkers for the diagnosis. We employed an untargeted technique, ultra-performance liquid chromatography-mass spectroscopy (LC-MS), to analyze the serum metabolome of 32 AS individuals before and after 24-week TNF inhibitors treatment, as well as 40 health controls (HCs). Multivariate and univariate statistical analyses were used to profile the differential metabolites associated with AS and TNF inhibitors. A diagnostic panel was established with the least absolute shrinkage and selection operator (LASSO). The pathway analysis was also conducted. A total of 55 significantly differential metabolites were detected. We generated a diagnostic panel comprising five metabolites (L-glutamate, arachidonic acid, L-phenylalanine, PC (18:1(9Z)/18:1(9Z)), 1-palmitoylglycerol), capable of distinguishing HCs from AS with a high AUC of 0.998, (95%CI: 0.992–1.000). TNF inhibitors treatment could restore the equilibrium of 21 metabolites. The most involved pathways in AS were amino acid biosynthesis, glycolysis, glutaminolysis, fatty acids biosynthesis and choline metabolism. This study characterized the serum metabolomics signatures of AS and TNF inhibitor therapy. We developed a five-metabolites-based panel serving as a diagnostic tool to separate patients from HCs. This serum metabolomics study yielded new knowledge about the AS pathogenesis and the systemic effects of TNF inhibitors.https://www.frontiersin.org/articles/10.3389/fimmu.2021.630791/fullankylosing spondylitismetabolomics (OMICS)TNF inhibitorliquid chromatography-mass spectroscopybiomarker
collection DOAJ
language English
format Article
sources DOAJ
author Jiayong Ou
Min Xiao
Yefei Huang
Liudan Tu
Zena Chen
Shuangyan Cao
Qiujing Wei
Jieruo Gu
spellingShingle Jiayong Ou
Min Xiao
Yefei Huang
Liudan Tu
Zena Chen
Shuangyan Cao
Qiujing Wei
Jieruo Gu
Serum Metabolomics Signatures Associated With Ankylosing Spondylitis and TNF Inhibitor Therapy
Frontiers in Immunology
ankylosing spondylitis
metabolomics (OMICS)
TNF inhibitor
liquid chromatography-mass spectroscopy
biomarker
author_facet Jiayong Ou
Min Xiao
Yefei Huang
Liudan Tu
Zena Chen
Shuangyan Cao
Qiujing Wei
Jieruo Gu
author_sort Jiayong Ou
title Serum Metabolomics Signatures Associated With Ankylosing Spondylitis and TNF Inhibitor Therapy
title_short Serum Metabolomics Signatures Associated With Ankylosing Spondylitis and TNF Inhibitor Therapy
title_full Serum Metabolomics Signatures Associated With Ankylosing Spondylitis and TNF Inhibitor Therapy
title_fullStr Serum Metabolomics Signatures Associated With Ankylosing Spondylitis and TNF Inhibitor Therapy
title_full_unstemmed Serum Metabolomics Signatures Associated With Ankylosing Spondylitis and TNF Inhibitor Therapy
title_sort serum metabolomics signatures associated with ankylosing spondylitis and tnf inhibitor therapy
publisher Frontiers Media S.A.
series Frontiers in Immunology
issn 1664-3224
publishDate 2021-02-01
description Ankylosing spondylitis (AS) is a type of spondyloarthropathies, the diagnosis of which is often delayed. The lack of early diagnosis tools often delays the institution of appropriate therapy. This study aimed to investigate the systemic metabolic shifts associated with AS and TNF inhibitors treatment. Additionally, we aimed to define reliable serum biomarkers for the diagnosis. We employed an untargeted technique, ultra-performance liquid chromatography-mass spectroscopy (LC-MS), to analyze the serum metabolome of 32 AS individuals before and after 24-week TNF inhibitors treatment, as well as 40 health controls (HCs). Multivariate and univariate statistical analyses were used to profile the differential metabolites associated with AS and TNF inhibitors. A diagnostic panel was established with the least absolute shrinkage and selection operator (LASSO). The pathway analysis was also conducted. A total of 55 significantly differential metabolites were detected. We generated a diagnostic panel comprising five metabolites (L-glutamate, arachidonic acid, L-phenylalanine, PC (18:1(9Z)/18:1(9Z)), 1-palmitoylglycerol), capable of distinguishing HCs from AS with a high AUC of 0.998, (95%CI: 0.992–1.000). TNF inhibitors treatment could restore the equilibrium of 21 metabolites. The most involved pathways in AS were amino acid biosynthesis, glycolysis, glutaminolysis, fatty acids biosynthesis and choline metabolism. This study characterized the serum metabolomics signatures of AS and TNF inhibitor therapy. We developed a five-metabolites-based panel serving as a diagnostic tool to separate patients from HCs. This serum metabolomics study yielded new knowledge about the AS pathogenesis and the systemic effects of TNF inhibitors.
topic ankylosing spondylitis
metabolomics (OMICS)
TNF inhibitor
liquid chromatography-mass spectroscopy
biomarker
url https://www.frontiersin.org/articles/10.3389/fimmu.2021.630791/full
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