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A multi-omics analysis for prediction of neurocognitive disorders risk among the elderly in Macao. Clinical and Translational Medicine
Yan Han1; Xingping Quan1; Yaochen Chuang2; Qiaoxing Liang3; Yang Li4; Zhen Yuan1; Ying Bian1; Lai Wei3; JiWang5; Yonghua Zhao1
2022-06
Source PublicationClinical and Translational Medicine
Volume12Pages:e909
Abstract

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 andNCDs, but the biological characteristics of the vulnerable group predispose toNCDs 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 ofMacao. Intervention with them may be effective therapeutic approaches forNCDs, and the underlying mechanisms merit further exploration.

KeywordExosomes Gut Microbiota Multi-omics Neurocognitive Disorders
Indexed BySCIE
Language英語English
Funding ProjectThe correlated study between the differentiation of Chinese medical �onstitution-Disease-Syndrome�and characteristics of gut microbiota and metabolomics in Macao elderly with cognitive dysfunction
Fulltext Access
Document TypeJournal article
CollectionInstitute of Chinese Medical Sciences
Faculty of Health Sciences
Corresponding AuthorYonghua Zhao
Affiliation1.University of Macau
2.KiangWu Nursing College of Macau
3.Sun Yat-sen University
4.Shenzhen People’s Hospital
5.Beijing University of Chinese Medicine
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yan Han,Xingping Quan,Yaochen Chuang,et al. A multi-omics analysis for prediction of neurocognitive disorders risk among the elderly in Macao. Clinical and Translational Medicine[J]. Clinical and Translational Medicine,2022,12:e909.
APA Yan Han,Xingping Quan,Yaochen Chuang,Qiaoxing Liang,Yang Li,Zhen Yuan,Ying Bian,Lai Wei,JiWang,&Yonghua Zhao.(2022).A multi-omics analysis for prediction of neurocognitive disorders risk among the elderly in Macao. Clinical and Translational Medicine.Clinical and Translational Medicine,12,e909.
MLA Yan Han,et al."A multi-omics analysis for prediction of neurocognitive disorders risk among the elderly in Macao. Clinical and Translational Medicine".Clinical and Translational Medicine 12(2022):e909.
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