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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-9191869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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