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Serum-Urine Matched Metabolomics for Predicting Progression of Henoch-Schonlein Purpura Nephritis
Henoch-Schonlein purpura nephritis (HSPN) is a common glomerulonephritis secondary to Henoch-Schonlein purpura (HSP) that affects systemic metabolism. Currently, there is a rarity of biomarkers to predict the progression of HSPN. This work sought to screen metabolic markers to predict the progressio...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149729/ https://www.ncbi.nlm.nih.gov/pubmed/34055834 http://dx.doi.org/10.3389/fmed.2021.657073 |
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author | Zhang, Qian Lai, Ling-Yun Cai, Yuan-Yuan Wang, Ma-Jie Ma, Gaoxiang Qi, Lian-Wen Xue, Jun Huang, Feng-Qing |
author_facet | Zhang, Qian Lai, Ling-Yun Cai, Yuan-Yuan Wang, Ma-Jie Ma, Gaoxiang Qi, Lian-Wen Xue, Jun Huang, Feng-Qing |
author_sort | Zhang, Qian |
collection | PubMed |
description | Henoch-Schonlein purpura nephritis (HSPN) is a common glomerulonephritis secondary to Henoch-Schonlein purpura (HSP) that affects systemic metabolism. Currently, there is a rarity of biomarkers to predict the progression of HSPN. This work sought to screen metabolic markers to predict the progression of HSPN via serum-urine matched metabolomics. A total of 90 HSPN patients were enrolled, including 46 HSPN (+) patients with severe kidney damage (persistent proteinuria >0.3 g/day) and 44 HSPN (–) patients without obvious symptoms (proteinuria < 0.3 g/day). Untargeted metabolomics was determined by liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-Q/TOF-MS). A total of 38 and 50 differential metabolites were, respectively, identified in serum and urine from the comparison between HSPN (+) and HSPN (–) patients. Altered metabolic pathways in HSPN (+) mainly included glycerophospholipid metabolism, pyruvate metabolism, and citrate cycle. A panel of choline and cis-vaccenic acid gave areas under the curve of 92.69% in serum and 72.43% in urine for differential diagnosis between HSPN (+) and HSPN (–). In addition, the two metabolites showed a significant association with clinical indices of HSPN. These results suggest that serum-urine matched metabolomics comprehensively characterized the metabolic differences between HSPN (+) and HSPN (–), and choline and cis-vaccenic acid could serve as biomarkers to predict HSPN progression. |
format | Online Article Text |
id | pubmed-8149729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81497292021-05-27 Serum-Urine Matched Metabolomics for Predicting Progression of Henoch-Schonlein Purpura Nephritis Zhang, Qian Lai, Ling-Yun Cai, Yuan-Yuan Wang, Ma-Jie Ma, Gaoxiang Qi, Lian-Wen Xue, Jun Huang, Feng-Qing Front Med (Lausanne) Medicine Henoch-Schonlein purpura nephritis (HSPN) is a common glomerulonephritis secondary to Henoch-Schonlein purpura (HSP) that affects systemic metabolism. Currently, there is a rarity of biomarkers to predict the progression of HSPN. This work sought to screen metabolic markers to predict the progression of HSPN via serum-urine matched metabolomics. A total of 90 HSPN patients were enrolled, including 46 HSPN (+) patients with severe kidney damage (persistent proteinuria >0.3 g/day) and 44 HSPN (–) patients without obvious symptoms (proteinuria < 0.3 g/day). Untargeted metabolomics was determined by liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-Q/TOF-MS). A total of 38 and 50 differential metabolites were, respectively, identified in serum and urine from the comparison between HSPN (+) and HSPN (–) patients. Altered metabolic pathways in HSPN (+) mainly included glycerophospholipid metabolism, pyruvate metabolism, and citrate cycle. A panel of choline and cis-vaccenic acid gave areas under the curve of 92.69% in serum and 72.43% in urine for differential diagnosis between HSPN (+) and HSPN (–). In addition, the two metabolites showed a significant association with clinical indices of HSPN. These results suggest that serum-urine matched metabolomics comprehensively characterized the metabolic differences between HSPN (+) and HSPN (–), and choline and cis-vaccenic acid could serve as biomarkers to predict HSPN progression. Frontiers Media S.A. 2021-05-12 /pmc/articles/PMC8149729/ /pubmed/34055834 http://dx.doi.org/10.3389/fmed.2021.657073 Text en Copyright © 2021 Zhang, Lai, Cai, Wang, Ma, Qi, Xue and Huang. https://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 | Medicine Zhang, Qian Lai, Ling-Yun Cai, Yuan-Yuan Wang, Ma-Jie Ma, Gaoxiang Qi, Lian-Wen Xue, Jun Huang, Feng-Qing Serum-Urine Matched Metabolomics for Predicting Progression of Henoch-Schonlein Purpura Nephritis |
title | Serum-Urine Matched Metabolomics for Predicting Progression of Henoch-Schonlein Purpura Nephritis |
title_full | Serum-Urine Matched Metabolomics for Predicting Progression of Henoch-Schonlein Purpura Nephritis |
title_fullStr | Serum-Urine Matched Metabolomics for Predicting Progression of Henoch-Schonlein Purpura Nephritis |
title_full_unstemmed | Serum-Urine Matched Metabolomics for Predicting Progression of Henoch-Schonlein Purpura Nephritis |
title_short | Serum-Urine Matched Metabolomics for Predicting Progression of Henoch-Schonlein Purpura Nephritis |
title_sort | serum-urine matched metabolomics for predicting progression of henoch-schonlein purpura nephritis |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149729/ https://www.ncbi.nlm.nih.gov/pubmed/34055834 http://dx.doi.org/10.3389/fmed.2021.657073 |
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