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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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Autores principales: Zhang, Qiong, Yin, Xiaofeng, Wang, Haifang, Wu, Xing, Li, Xin, Li, Yao, Zhang, Xiaohe, Fu, Chen, Li, Haixia, Qiu, Yurong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509220/
https://www.ncbi.nlm.nih.gov/pubmed/31130958
http://dx.doi.org/10.3389/fimmu.2019.00976
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author Zhang, Qiong
Yin, Xiaofeng
Wang, Haifang
Wu, Xing
Li, Xin
Li, Yao
Zhang, Xiaohe
Fu, Chen
Li, Haixia
Qiu, Yurong
author_facet Zhang, Qiong
Yin, Xiaofeng
Wang, Haifang
Wu, Xing
Li, Xin
Li, Yao
Zhang, Xiaohe
Fu, Chen
Li, Haixia
Qiu, Yurong
author_sort Zhang, Qiong
collection PubMed
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 pubmed-65092202019-05-24 Fecal Metabolomics and Potential Biomarkers for Systemic Lupus Erythematosus Zhang, Qiong Yin, Xiaofeng Wang, Haifang Wu, Xing Li, Xin Li, Yao Zhang, Xiaohe Fu, Chen Li, Haixia Qiu, Yurong Front Immunol Immunology 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. Frontiers Media S.A. 2019-05-03 /pmc/articles/PMC6509220/ /pubmed/31130958 http://dx.doi.org/10.3389/fimmu.2019.00976 Text en Copyright © 2019 Zhang, Yin, Wang, Wu, Li, Li, Zhang, Fu, Li and Qiu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Zhang, Qiong
Yin, Xiaofeng
Wang, Haifang
Wu, Xing
Li, Xin
Li, Yao
Zhang, Xiaohe
Fu, Chen
Li, Haixia
Qiu, Yurong
Fecal Metabolomics and Potential Biomarkers for Systemic Lupus Erythematosus
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 Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509220/
https://www.ncbi.nlm.nih.gov/pubmed/31130958
http://dx.doi.org/10.3389/fimmu.2019.00976
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