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A multi‐omics analysis for the prediction of neurocognitive disorders risk among the elderly in Macao

BACKGROUND: Due to the increasing ageing population, neurocognitive disorders (NCDs) have been a global public health issue, and its prevention and early diagnosis are crucial. Our previous study demonstrated that there is a significant correlation between specific populations and NCDs, but the biol...

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Autores principales: Han, Yan, Quan, Xingping, Chuang, Yaochen, Liang, Qiaoxing, Li, Yang, Yuan, Zhen, Bian, Ying, Wei, Lai, Wang, Ji, Zhao, Yonghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191869/
https://www.ncbi.nlm.nih.gov/pubmed/35696554
http://dx.doi.org/10.1002/ctm2.909
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author Han, Yan
Quan, Xingping
Chuang, Yaochen
Liang, Qiaoxing
Li, Yang
Yuan, Zhen
Bian, Ying
Wei, Lai
Wang, Ji
Zhao, Yonghua
author_facet Han, Yan
Quan, Xingping
Chuang, Yaochen
Liang, Qiaoxing
Li, Yang
Yuan, Zhen
Bian, Ying
Wei, Lai
Wang, Ji
Zhao, Yonghua
author_sort Han, Yan
collection PubMed
description BACKGROUND: Due to the increasing ageing population, neurocognitive disorders (NCDs) have been a global public health issue, and its prevention and early diagnosis are crucial. Our previous study demonstrated that there is a significant correlation between specific populations and NCDs, but the biological characteristics of the vulnerable group predispose to NCDs are unclear. The purpose of this study is to investigate the predictors for the vulnerable group by a multi‐omics analysis. METHODS: Multi‐omics approaches, including metagenomics, metabolomic and proteomic, were used to detect gut microbiota, faecal metabolites and urine exosome of 8 normal controls and 13 vulnerable elders after a rigorous screening of 400 elders in Macao. The multi‐omics data were analysed using R and Bioconductor. The two‐sided Wilcoxon's rank‐sum test, Kruskal–Wallis rank sum test and the linear discriminant analysis effective size were applied to investigate characterized features. Moreover, a 2‐year follow‐up was conducted to evaluate cognitive function change of the elderly. RESULTS: Compared with the control elders, the metagenomics of gut microbiota showed that Ruminococcus gnavus, Lachnospira eligens, Escherichia coli and Desulfovibrio piger were increased significantly in the vulnerable group. Carboxylates, like alpha‐ketoglutaric acid and d‐saccharic acid, and levels of vitamins had obvious differences in the faecal metabolites. There was a distinct decrease in the expression of eukaryotic translation initiation factor 2 subunit 1 (eIF2α) and amine oxidase A (MAO‐A) according to the proteomic results of the urine exosomes. Moreover, the compound annual growth rate of neurocognitive scores was notably decreased in vulnerable elders. CONCLUSIONS: The multi‐omics characteristics of disturbed glyoxylate and dicarboxylate metabolism (bacteria), vitamin digestion and absorption and tricarboxylic acid cycle in vulnerable elders can serve as predictors of NCDs risk among the elderly of Macao. Intervention with them may be effective therapeutic approaches for NCDs, and the underlying mechanisms merit further exploration.
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spelling pubmed-91918692022-06-21 A multi‐omics analysis for the prediction of neurocognitive disorders risk among the elderly in Macao Han, Yan Quan, Xingping Chuang, Yaochen Liang, Qiaoxing Li, Yang Yuan, Zhen Bian, Ying Wei, Lai Wang, Ji Zhao, Yonghua Clin Transl Med Research Articles BACKGROUND: Due to the increasing ageing population, neurocognitive disorders (NCDs) have been a global public health issue, and its prevention and early diagnosis are crucial. Our previous study demonstrated that there is a significant correlation between specific populations and NCDs, but the biological characteristics of the vulnerable group predispose to NCDs are unclear. The purpose of this study is to investigate the predictors for the vulnerable group by a multi‐omics analysis. METHODS: Multi‐omics approaches, including metagenomics, metabolomic and proteomic, were used to detect gut microbiota, faecal metabolites and urine exosome of 8 normal controls and 13 vulnerable elders after a rigorous screening of 400 elders in Macao. The multi‐omics data were analysed using R and Bioconductor. The two‐sided Wilcoxon's rank‐sum test, Kruskal–Wallis rank sum test and the linear discriminant analysis effective size were applied to investigate characterized features. Moreover, a 2‐year follow‐up was conducted to evaluate cognitive function change of the elderly. RESULTS: Compared with the control elders, the metagenomics of gut microbiota showed that Ruminococcus gnavus, Lachnospira eligens, Escherichia coli and Desulfovibrio piger were increased significantly in the vulnerable group. Carboxylates, like alpha‐ketoglutaric acid and d‐saccharic acid, and levels of vitamins had obvious differences in the faecal metabolites. There was a distinct decrease in the expression of eukaryotic translation initiation factor 2 subunit 1 (eIF2α) and amine oxidase A (MAO‐A) according to the proteomic results of the urine exosomes. Moreover, the compound annual growth rate of neurocognitive scores was notably decreased in vulnerable elders. CONCLUSIONS: The multi‐omics characteristics of disturbed glyoxylate and dicarboxylate metabolism (bacteria), vitamin digestion and absorption and tricarboxylic acid cycle in vulnerable elders can serve as predictors of NCDs risk among the elderly of Macao. Intervention with them may be effective therapeutic approaches for NCDs, and the underlying mechanisms merit further exploration. John Wiley and Sons Inc. 2022-06-13 /pmc/articles/PMC9191869/ /pubmed/35696554 http://dx.doi.org/10.1002/ctm2.909 Text en © 2022 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Han, Yan
Quan, Xingping
Chuang, Yaochen
Liang, Qiaoxing
Li, Yang
Yuan, Zhen
Bian, Ying
Wei, Lai
Wang, Ji
Zhao, Yonghua
A multi‐omics analysis for the prediction of neurocognitive disorders risk among the elderly in Macao
title A multi‐omics analysis for the prediction of neurocognitive disorders risk among the elderly in Macao
title_full A multi‐omics analysis for the prediction of neurocognitive disorders risk among the elderly in Macao
title_fullStr A multi‐omics analysis for the prediction of neurocognitive disorders risk among the elderly in Macao
title_full_unstemmed A multi‐omics analysis for the prediction of neurocognitive disorders risk among the elderly in Macao
title_short A multi‐omics analysis for the prediction of neurocognitive disorders risk among the elderly in Macao
title_sort multi‐omics analysis for the prediction of neurocognitive disorders risk among the elderly in macao
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191869/
https://www.ncbi.nlm.nih.gov/pubmed/35696554
http://dx.doi.org/10.1002/ctm2.909
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