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Unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults

The prevalence of age-related cognitive disorders/dementia is increasing, and effective prevention and treatment interventions are lacking due to an incomplete understanding of aging neuropathophysiology. Emerging evidence suggests that abnormalities in gut microbiome are linked with age-related cog...

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Autores principales: Chaudhari, Diptaraj S., Jain, Shalini, Yata, Vinod K., Mishra, Sidharth P., Kumar, Ambuj, Fraser, Amoy, Kociolek, Judyta, Dangiolo, Mariana, Smith, Amanda, Golden, Adam, Masternak, Michal M., Holland, Peter, Agronin, Marc, White-Williams, Cynthia, Arikawa, Andrea Y., Labyak, Corinne A., Yadav, Hariom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643725/
https://www.ncbi.nlm.nih.gov/pubmed/37213047
http://dx.doi.org/10.1007/s11357-023-00799-1
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author Chaudhari, Diptaraj S.
Jain, Shalini
Yata, Vinod K.
Mishra, Sidharth P.
Kumar, Ambuj
Fraser, Amoy
Kociolek, Judyta
Dangiolo, Mariana
Smith, Amanda
Golden, Adam
Masternak, Michal M.
Holland, Peter
Agronin, Marc
White-Williams, Cynthia
Arikawa, Andrea Y.
Labyak, Corinne A.
Yadav, Hariom
author_facet Chaudhari, Diptaraj S.
Jain, Shalini
Yata, Vinod K.
Mishra, Sidharth P.
Kumar, Ambuj
Fraser, Amoy
Kociolek, Judyta
Dangiolo, Mariana
Smith, Amanda
Golden, Adam
Masternak, Michal M.
Holland, Peter
Agronin, Marc
White-Williams, Cynthia
Arikawa, Andrea Y.
Labyak, Corinne A.
Yadav, Hariom
author_sort Chaudhari, Diptaraj S.
collection PubMed
description The prevalence of age-related cognitive disorders/dementia is increasing, and effective prevention and treatment interventions are lacking due to an incomplete understanding of aging neuropathophysiology. Emerging evidence suggests that abnormalities in gut microbiome are linked with age-related cognitive decline and getting acceptance as one of the pillars of the Geroscience hypothesis. However, the potential clinical importance of gut microbiome abnormalities in predicting the risk of cognitive decline in older adults is unclear. Till now the majority of clinical studies were done using 16S rRNA sequencing which only accounts for analyzing bacterial abundance, while lacking an understanding of other crucial microbial kingdoms, such as viruses, fungi, archaea, and the functional profiling of the microbiome community. Utilizing data and samples of older adults with mild cognitive impairment (MCI; n = 23) and cognitively healthy controls (n = 25). Our whole-genome metagenomic sequencing revealed that the gut of older adults with MCI harbors a less diverse microbiome with a specific increase in total viruses and a decrease in bacterial abundance compared with controls. The virome, bacteriome, and microbial metabolic signatures were significantly distinct in subjects with MCI versus controls. Selected bacteriome signatures show high predictive potential of cognitive dysfunction than virome signatures while combining virome and metabolic signatures with bacteriome boosts the prediction power. Altogether, the results from our pilot study indicate that trans-kingdom microbiome signatures are significantly distinct in MCI gut compared with controls and may have utility for predicting the risk of developing cognitive decline and dementia- debilitating public health problems in older adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11357-023-00799-1.
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spelling pubmed-106437252023-11-15 Unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults Chaudhari, Diptaraj S. Jain, Shalini Yata, Vinod K. Mishra, Sidharth P. Kumar, Ambuj Fraser, Amoy Kociolek, Judyta Dangiolo, Mariana Smith, Amanda Golden, Adam Masternak, Michal M. Holland, Peter Agronin, Marc White-Williams, Cynthia Arikawa, Andrea Y. Labyak, Corinne A. Yadav, Hariom GeroScience Original Article The prevalence of age-related cognitive disorders/dementia is increasing, and effective prevention and treatment interventions are lacking due to an incomplete understanding of aging neuropathophysiology. Emerging evidence suggests that abnormalities in gut microbiome are linked with age-related cognitive decline and getting acceptance as one of the pillars of the Geroscience hypothesis. However, the potential clinical importance of gut microbiome abnormalities in predicting the risk of cognitive decline in older adults is unclear. Till now the majority of clinical studies were done using 16S rRNA sequencing which only accounts for analyzing bacterial abundance, while lacking an understanding of other crucial microbial kingdoms, such as viruses, fungi, archaea, and the functional profiling of the microbiome community. Utilizing data and samples of older adults with mild cognitive impairment (MCI; n = 23) and cognitively healthy controls (n = 25). Our whole-genome metagenomic sequencing revealed that the gut of older adults with MCI harbors a less diverse microbiome with a specific increase in total viruses and a decrease in bacterial abundance compared with controls. The virome, bacteriome, and microbial metabolic signatures were significantly distinct in subjects with MCI versus controls. Selected bacteriome signatures show high predictive potential of cognitive dysfunction than virome signatures while combining virome and metabolic signatures with bacteriome boosts the prediction power. Altogether, the results from our pilot study indicate that trans-kingdom microbiome signatures are significantly distinct in MCI gut compared with controls and may have utility for predicting the risk of developing cognitive decline and dementia- debilitating public health problems in older adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11357-023-00799-1. Springer International Publishing 2023-05-22 /pmc/articles/PMC10643725/ /pubmed/37213047 http://dx.doi.org/10.1007/s11357-023-00799-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Chaudhari, Diptaraj S.
Jain, Shalini
Yata, Vinod K.
Mishra, Sidharth P.
Kumar, Ambuj
Fraser, Amoy
Kociolek, Judyta
Dangiolo, Mariana
Smith, Amanda
Golden, Adam
Masternak, Michal M.
Holland, Peter
Agronin, Marc
White-Williams, Cynthia
Arikawa, Andrea Y.
Labyak, Corinne A.
Yadav, Hariom
Unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults
title Unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults
title_full Unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults
title_fullStr Unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults
title_full_unstemmed Unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults
title_short Unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults
title_sort unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643725/
https://www.ncbi.nlm.nih.gov/pubmed/37213047
http://dx.doi.org/10.1007/s11357-023-00799-1
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