ArticleClinical and translational medicine2022
A multi-omics analysis for the prediction of neurocognitive disorders risk among the elderly in Macao.
Article in Clinical and translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 23 citations in OpenAlex.
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- The usefulness of microbiome profiling for geriatric patients with neuropsychiatric conditions: a scoping review.Translational psychiatry · 2025Article
- The gut-brain axis underlying hepatic encephalopathy in liver cirrhosis.Nature medicine · 2025Article
- Oolong tea attenuates neuroinflammation by modulating the microbiota-gut-brain axis in a rat model of autism.Frontiers in nutrition · 2025Article
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- Extracellular Vesicles: A Crucial Player in the Intestinal Microenvironment and Beyond.International journal of molecular sciences · 2024Review
- The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders.Microbiome · 2024Article
- Identification of the serum metabolomic profile for acute ischemic preconditioning in athletes.Frontiers in physiology · 2024Article
- The Biomarkers in Extreme Longevity: Insights Gained from Metabolomics and Proteomics.International journal of medical sciences · 2024Review
- Microbiota from Alzheimer's patients induce deficits in cognition and hippocampal neurogenesis.Brain : a journal of neurology · 2023Article
- Ruminococcus gnavus: friend or foe for human health.FEMS microbiology reviews · 2023Review
- The role of the gut-microbiome-brain axis in metabolic remodeling amongst children with cerebral palsy and epilepsy.Frontiers in neurology · 2023Article
- A multi-omics analysis for the prediction of neurocognitive disorders risk among the elderly in Macao.Clinical and translational medicine · 2022Article
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Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDue 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.
methodsMulti-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.
resultsCompared 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.
conclusionsThe 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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