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Association between abnormal plasma metabolism and brain atrophy in alcohol-dependent patients

OBJECTIVE: In this study, we aimed to characterize the plasma metabolic profiles of brain atrophy and alcohol dependence (s) and to identify the underlying pathogenesis of brain atrophy related to alcohol dependence. METHODS: We acquired the plasma samples of alcohol-dependent patients and performed...

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Autores principales: Zhang, Zheyu, Zhang, Sifang, Huang, Jianhua, Cao, Xiaoyun, Hou, Chao, Luo, Zhihong, Wang, Xiaoyan, Liu, Xuejun, Li, Qiang, Zhang, Xi, Guo, Yujun, Xiao, Huiqiong, Xie, Ting, Zhou, Xuhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792671/
https://www.ncbi.nlm.nih.gov/pubmed/36583081
http://dx.doi.org/10.3389/fnmol.2022.999938
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author Zhang, Zheyu
Zhang, Sifang
Huang, Jianhua
Cao, Xiaoyun
Hou, Chao
Luo, Zhihong
Wang, Xiaoyan
Liu, Xuejun
Li, Qiang
Zhang, Xi
Guo, Yujun
Xiao, Huiqiong
Xie, Ting
Zhou, Xuhui
author_facet Zhang, Zheyu
Zhang, Sifang
Huang, Jianhua
Cao, Xiaoyun
Hou, Chao
Luo, Zhihong
Wang, Xiaoyan
Liu, Xuejun
Li, Qiang
Zhang, Xi
Guo, Yujun
Xiao, Huiqiong
Xie, Ting
Zhou, Xuhui
author_sort Zhang, Zheyu
collection PubMed
description OBJECTIVE: In this study, we aimed to characterize the plasma metabolic profiles of brain atrophy and alcohol dependence (s) and to identify the underlying pathogenesis of brain atrophy related to alcohol dependence. METHODS: We acquired the plasma samples of alcohol-dependent patients and performed non-targeted metabolomic profiling analysis to identify alterations of key metabolites in the plasma of BA-ADPs. Machine learning algorithms and bioinformatic analysis were also used to identify predictive biomarkers and investigate their possible roles in brain atrophy related to alcohol dependence. RESULTS: A total of 26 plasma metabolites were significantly altered in the BA-ADPs group when compared with a group featuring alcohol-dependent patients without brain atrophy (NBA-ADPs). Nine of these differential metabolites were further identified as potential biomarkers for BA-ADPs. Receiver operating characteristic curves demonstrated that these potential biomarkers exhibited good sensitivity and specificity for distinguishing BA-ADPs from NBA-ADPs. Moreover, metabolic pathway analysis suggested that glycerophospholipid metabolism may be highly involved in the pathogenesis of alcohol-induced brain atrophy. CONCLUSION: This plasma metabolomic study provides a valuable resource for enhancing our understanding of alcohol-induced brain atrophy and offers potential targets for therapeutic intervention.
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spelling pubmed-97926712022-12-28 Association between abnormal plasma metabolism and brain atrophy in alcohol-dependent patients Zhang, Zheyu Zhang, Sifang Huang, Jianhua Cao, Xiaoyun Hou, Chao Luo, Zhihong Wang, Xiaoyan Liu, Xuejun Li, Qiang Zhang, Xi Guo, Yujun Xiao, Huiqiong Xie, Ting Zhou, Xuhui Front Mol Neurosci Molecular Neuroscience OBJECTIVE: In this study, we aimed to characterize the plasma metabolic profiles of brain atrophy and alcohol dependence (s) and to identify the underlying pathogenesis of brain atrophy related to alcohol dependence. METHODS: We acquired the plasma samples of alcohol-dependent patients and performed non-targeted metabolomic profiling analysis to identify alterations of key metabolites in the plasma of BA-ADPs. Machine learning algorithms and bioinformatic analysis were also used to identify predictive biomarkers and investigate their possible roles in brain atrophy related to alcohol dependence. RESULTS: A total of 26 plasma metabolites were significantly altered in the BA-ADPs group when compared with a group featuring alcohol-dependent patients without brain atrophy (NBA-ADPs). Nine of these differential metabolites were further identified as potential biomarkers for BA-ADPs. Receiver operating characteristic curves demonstrated that these potential biomarkers exhibited good sensitivity and specificity for distinguishing BA-ADPs from NBA-ADPs. Moreover, metabolic pathway analysis suggested that glycerophospholipid metabolism may be highly involved in the pathogenesis of alcohol-induced brain atrophy. CONCLUSION: This plasma metabolomic study provides a valuable resource for enhancing our understanding of alcohol-induced brain atrophy and offers potential targets for therapeutic intervention. Frontiers Media S.A. 2022-12-13 /pmc/articles/PMC9792671/ /pubmed/36583081 http://dx.doi.org/10.3389/fnmol.2022.999938 Text en Copyright © 2022 Zhang, Zhang, Huang, Cao, Hou, Luo, Wang, Liu, Li, Zhang, Guo, Xiao, Xie and Zhou. 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 Neuroscience
Zhang, Zheyu
Zhang, Sifang
Huang, Jianhua
Cao, Xiaoyun
Hou, Chao
Luo, Zhihong
Wang, Xiaoyan
Liu, Xuejun
Li, Qiang
Zhang, Xi
Guo, Yujun
Xiao, Huiqiong
Xie, Ting
Zhou, Xuhui
Association between abnormal plasma metabolism and brain atrophy in alcohol-dependent patients
title Association between abnormal plasma metabolism and brain atrophy in alcohol-dependent patients
title_full Association between abnormal plasma metabolism and brain atrophy in alcohol-dependent patients
title_fullStr Association between abnormal plasma metabolism and brain atrophy in alcohol-dependent patients
title_full_unstemmed Association between abnormal plasma metabolism and brain atrophy in alcohol-dependent patients
title_short Association between abnormal plasma metabolism and brain atrophy in alcohol-dependent patients
title_sort association between abnormal plasma metabolism and brain atrophy in alcohol-dependent patients
topic Molecular Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792671/
https://www.ncbi.nlm.nih.gov/pubmed/36583081
http://dx.doi.org/10.3389/fnmol.2022.999938
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