Fecal Metabolomics and Potential Biomarkers for Systemic Lupus Erythematosus

The role of metabolomics in autoimmune diseases has been a rapidly expanding area in researches over the last decade, while its pathophysiologic impact on systemic lupus erythematosus (SLE) remains poorly elucidated. In this study, we analyzed the metabolic profiling of fecal samples from SLE patien...

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Main Authors: Qiong Zhang, Xiaofeng Yin, Haifang Wang, Xing Wu, Xin Li, Yao Li, Xiaohe Zhang, Chen Fu, Haixia Li, Yurong Qiu
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fimmu.2019.00976/full
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author Qiong Zhang
Xiaofeng Yin
Haifang Wang
Xing Wu
Xin Li
Yao Li
Xiaohe Zhang
Chen Fu
Haixia Li
Yurong Qiu
Yurong Qiu
author_facet Qiong Zhang
Xiaofeng Yin
Haifang Wang
Xing Wu
Xin Li
Yao Li
Xiaohe Zhang
Chen Fu
Haixia Li
Yurong Qiu
Yurong Qiu
author_sort Qiong Zhang
collection DOAJ
description The role of metabolomics in autoimmune diseases has been a rapidly expanding area in researches over the last decade, while its pathophysiologic impact on systemic lupus erythematosus (SLE) remains poorly elucidated. In this study, we analyzed the metabolic profiling of fecal samples from SLE patients and healthy controls based on ultra-high-performance liquid chromatography equipped with mass spectrometry for exploring the potential biomarkers of SLE. The results showed that 23 differential metabolites and 5 perturbed pathways were identified between the two groups, including aminoacyl-tRNA biosynthesis, thiamine metabolism, nitrogen metabolism, tryptophan metabolism, and cyanoamino acid metabolism. In addition, logistic regression and ROC analysis were used to establish a diagnostic model for distinguishing SLE patients from healthy controls. The combined model of fecal PG 27:2 and proline achieved an area under the ROC curve of 0.846, and had a good diagnostic efficacy. In the present study, we analyzed the correlations between fecal metabolic perturbations and SLE pathogenesis. In summary, we firstly illustrate the comprehensive metabolic profiles of feces in SLE patients, suggesting that the fecal metabolites could be used as the potential non-invasive biomarkers for SLE.
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spelling doaj.art-7b64e7350a464bd481e3da271b3fbf782022-12-21T23:35:51ZengFrontiers Media S.A.Frontiers in Immunology1664-32242019-05-011010.3389/fimmu.2019.00976451090Fecal Metabolomics and Potential Biomarkers for Systemic Lupus ErythematosusQiong Zhang0Xiaofeng Yin1Haifang Wang2Xing Wu3Xin Li4Yao Li5Xiaohe Zhang6Chen Fu7Haixia Li8Yurong Qiu9Yurong Qiu10Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaLongsee Biomedical Corporation, Guangzhou, ChinaLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaHuayin Medical Laboratory Center Co., Ltd., Guangzhou, ChinaThe role of metabolomics in autoimmune diseases has been a rapidly expanding area in researches over the last decade, while its pathophysiologic impact on systemic lupus erythematosus (SLE) remains poorly elucidated. In this study, we analyzed the metabolic profiling of fecal samples from SLE patients and healthy controls based on ultra-high-performance liquid chromatography equipped with mass spectrometry for exploring the potential biomarkers of SLE. The results showed that 23 differential metabolites and 5 perturbed pathways were identified between the two groups, including aminoacyl-tRNA biosynthesis, thiamine metabolism, nitrogen metabolism, tryptophan metabolism, and cyanoamino acid metabolism. In addition, logistic regression and ROC analysis were used to establish a diagnostic model for distinguishing SLE patients from healthy controls. The combined model of fecal PG 27:2 and proline achieved an area under the ROC curve of 0.846, and had a good diagnostic efficacy. In the present study, we analyzed the correlations between fecal metabolic perturbations and SLE pathogenesis. In summary, we firstly illustrate the comprehensive metabolic profiles of feces in SLE patients, suggesting that the fecal metabolites could be used as the potential non-invasive biomarkers for SLE.https://www.frontiersin.org/article/10.3389/fimmu.2019.00976/fullfecesmetabolomicsbiomarkersystemic lupus erythematosusliquid chromatographymass spectrometry
spellingShingle Qiong Zhang
Xiaofeng Yin
Haifang Wang
Xing Wu
Xin Li
Yao Li
Xiaohe Zhang
Chen Fu
Haixia Li
Yurong Qiu
Yurong Qiu
Fecal Metabolomics and Potential Biomarkers for Systemic Lupus Erythematosus
Frontiers in Immunology
feces
metabolomics
biomarker
systemic lupus erythematosus
liquid chromatography
mass spectrometry
title Fecal Metabolomics and Potential Biomarkers for Systemic Lupus Erythematosus
title_full Fecal Metabolomics and Potential Biomarkers for Systemic Lupus Erythematosus
title_fullStr Fecal Metabolomics and Potential Biomarkers for Systemic Lupus Erythematosus
title_full_unstemmed Fecal Metabolomics and Potential Biomarkers for Systemic Lupus Erythematosus
title_short Fecal Metabolomics and Potential Biomarkers for Systemic Lupus Erythematosus
title_sort fecal metabolomics and potential biomarkers for systemic lupus erythematosus
topic feces
metabolomics
biomarker
systemic lupus erythematosus
liquid chromatography
mass spectrometry
url https://www.frontiersin.org/article/10.3389/fimmu.2019.00976/full
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