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High-Coverage Serum Metabolomics Reveals Metabolic Pathway Dysregulation in Diabetic Retinopathy: A Propensity Score-Matched Study

Background: Diabetic retinopathy (DR) is a major diabetes-related disease linked to metabolism. However, the cognition of metabolic pathway alterations in DR remains scarce. We aimed to corroborate alterations of metabolic pathways identified in prior studies and investigate novel metabolic dysregul...

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Autores principales: Guo, Chengnan, Jiang, Depeng, Xu, Yixi, Peng, Fang, Zhao, Shuzhen, Li, Huihui, Jin, Dongzhen, Xu, Xin, Xia, Zhezheng, Che, Mingzhu, Lai, Mengyuan, Huang, Ruogu, Wang, Hui, Zheng, Chao, Mao, Guangyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970305/
https://www.ncbi.nlm.nih.gov/pubmed/35372500
http://dx.doi.org/10.3389/fmolb.2022.822647
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author Guo, Chengnan
Jiang, Depeng
Xu, Yixi
Peng, Fang
Zhao, Shuzhen
Li, Huihui
Jin, Dongzhen
Xu, Xin
Xia, Zhezheng
Che, Mingzhu
Lai, Mengyuan
Huang, Ruogu
Wang, Hui
Zheng, Chao
Mao, Guangyun
author_facet Guo, Chengnan
Jiang, Depeng
Xu, Yixi
Peng, Fang
Zhao, Shuzhen
Li, Huihui
Jin, Dongzhen
Xu, Xin
Xia, Zhezheng
Che, Mingzhu
Lai, Mengyuan
Huang, Ruogu
Wang, Hui
Zheng, Chao
Mao, Guangyun
author_sort Guo, Chengnan
collection PubMed
description Background: Diabetic retinopathy (DR) is a major diabetes-related disease linked to metabolism. However, the cognition of metabolic pathway alterations in DR remains scarce. We aimed to corroborate alterations of metabolic pathways identified in prior studies and investigate novel metabolic dysregulations that may lead to new prevention and treatment strategies for DR. Methods: In this case-control study, we tested 613 serum metabolites in 69 pairs of type 2 diabetic patients (T2DM) with DR and propensity score-matched T2DM without DR via ultra-performance liquid chromatography-tandem mass spectrometry system. Metabolic pathway dysregulation in DR was thoroughly investigated by metabolic pathway analysis, chemical similarity enrichment analysis (ChemRICH), and integrated pathway analysis. The associations of ChemRICH-screened key metabolites with DR were further estimated with restricted cubic spline analyses. Results: A total of 89 differentially expressed metabolites were identified by paired univariate analysis and partial least squares discriminant analysis. We corroborated biosynthesis of unsaturated fatty acids, glycine, serine and threonine metabolism, glutamate and cysteine-related pathways, and nucleotide-related pathways were significantly perturbed in DR, which were identified in prior studies. We also found some novel metabolic alterations associated with DR, including the disturbance of thiamine metabolism and tryptophan metabolism, decreased trehalose, and increased choline and indole derivatives in DR. Conclusions: The results suggest that the metabolism disorder in DR can be better understood through integrating multiple biological knowledge databases. The progression of DR is associated with the disturbance of thiamine metabolism and tryptophan metabolism, decreased trehalose, and increased choline and indole derivatives.
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spelling pubmed-89703052022-04-01 High-Coverage Serum Metabolomics Reveals Metabolic Pathway Dysregulation in Diabetic Retinopathy: A Propensity Score-Matched Study Guo, Chengnan Jiang, Depeng Xu, Yixi Peng, Fang Zhao, Shuzhen Li, Huihui Jin, Dongzhen Xu, Xin Xia, Zhezheng Che, Mingzhu Lai, Mengyuan Huang, Ruogu Wang, Hui Zheng, Chao Mao, Guangyun Front Mol Biosci Molecular Biosciences Background: Diabetic retinopathy (DR) is a major diabetes-related disease linked to metabolism. However, the cognition of metabolic pathway alterations in DR remains scarce. We aimed to corroborate alterations of metabolic pathways identified in prior studies and investigate novel metabolic dysregulations that may lead to new prevention and treatment strategies for DR. Methods: In this case-control study, we tested 613 serum metabolites in 69 pairs of type 2 diabetic patients (T2DM) with DR and propensity score-matched T2DM without DR via ultra-performance liquid chromatography-tandem mass spectrometry system. Metabolic pathway dysregulation in DR was thoroughly investigated by metabolic pathway analysis, chemical similarity enrichment analysis (ChemRICH), and integrated pathway analysis. The associations of ChemRICH-screened key metabolites with DR were further estimated with restricted cubic spline analyses. Results: A total of 89 differentially expressed metabolites were identified by paired univariate analysis and partial least squares discriminant analysis. We corroborated biosynthesis of unsaturated fatty acids, glycine, serine and threonine metabolism, glutamate and cysteine-related pathways, and nucleotide-related pathways were significantly perturbed in DR, which were identified in prior studies. We also found some novel metabolic alterations associated with DR, including the disturbance of thiamine metabolism and tryptophan metabolism, decreased trehalose, and increased choline and indole derivatives in DR. Conclusions: The results suggest that the metabolism disorder in DR can be better understood through integrating multiple biological knowledge databases. The progression of DR is associated with the disturbance of thiamine metabolism and tryptophan metabolism, decreased trehalose, and increased choline and indole derivatives. Frontiers Media S.A. 2022-03-17 /pmc/articles/PMC8970305/ /pubmed/35372500 http://dx.doi.org/10.3389/fmolb.2022.822647 Text en Copyright © 2022 Guo, Jiang, Xu, Peng, Zhao, Li, Jin, Xu, Xia, Che, Lai, Huang, Wang, Zheng and Mao. 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 Molecular Biosciences
Guo, Chengnan
Jiang, Depeng
Xu, Yixi
Peng, Fang
Zhao, Shuzhen
Li, Huihui
Jin, Dongzhen
Xu, Xin
Xia, Zhezheng
Che, Mingzhu
Lai, Mengyuan
Huang, Ruogu
Wang, Hui
Zheng, Chao
Mao, Guangyun
High-Coverage Serum Metabolomics Reveals Metabolic Pathway Dysregulation in Diabetic Retinopathy: A Propensity Score-Matched Study
title High-Coverage Serum Metabolomics Reveals Metabolic Pathway Dysregulation in Diabetic Retinopathy: A Propensity Score-Matched Study
title_full High-Coverage Serum Metabolomics Reveals Metabolic Pathway Dysregulation in Diabetic Retinopathy: A Propensity Score-Matched Study
title_fullStr High-Coverage Serum Metabolomics Reveals Metabolic Pathway Dysregulation in Diabetic Retinopathy: A Propensity Score-Matched Study
title_full_unstemmed High-Coverage Serum Metabolomics Reveals Metabolic Pathway Dysregulation in Diabetic Retinopathy: A Propensity Score-Matched Study
title_short High-Coverage Serum Metabolomics Reveals Metabolic Pathway Dysregulation in Diabetic Retinopathy: A Propensity Score-Matched Study
title_sort high-coverage serum metabolomics reveals metabolic pathway dysregulation in diabetic retinopathy: a propensity score-matched study
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970305/
https://www.ncbi.nlm.nih.gov/pubmed/35372500
http://dx.doi.org/10.3389/fmolb.2022.822647
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