Influence of mental health medication on microbiota in the elderly population in the Valencian region.

16S rRNA gene sequencing aging gut-brain axis mental health disorders metagenomics microbiota tryptophan

Journal

Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977

Informations de publication

Date de publication:
2023
Historique:
received: 09 11 2022
accepted: 13 02 2023
medline: 4 4 2023
entrez: 3 4 2023
pubmed: 4 4 2023
Statut: epublish

Résumé

Spain has an aging population; 19.93% of the Spanish population is over 65. Aging is accompanied by several health issues, including mental health disorders and changes in the gut microbiota. The gut-brain axis is a bidirectional network linking the central nervous system with gastrointestinal tract functions, and therefore, the gut microbiota can influence an individual's mental health. Furthermore, aging-related physiological changes affect the gut microbiota, with differences in taxa and their associated metabolic functions between younger and older people. Here, we took a case-control approach to study the interplay between gut microbiota and mental health of elderly people. Fecal and saliva samples from 101 healthy volunteers over 65 were collected, of which 28 (EE|MH group) reported using antidepressants or medication for anxiety or insomnia at the time of sampling. The rest of the volunteers (EE|NOMH group) were the control group. 16S rRNA gene sequencing and metagenomic sequencing were applied to determine the differences between intestinal and oral microbiota. Significant differences in genera were found, specifically eight in the gut microbiota, and five in the oral microbiota. Functional analysis of fecal samples showed differences in five orthologous genes related to tryptophan metabolism, the precursor of serotonin and melatonin, and in six categories related to serine metabolism, a precursor of tryptophan. Moreover, we found 29 metabolic pathways with significant inter-group differences, including pathways regulating longevity, the dopaminergic synapse, the serotoninergic synapse, and two amino acids.

Identifiants

pubmed: 37007475
doi: 10.3389/fmicb.2023.1094071
pmc: PMC10062206
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1094071

Informations de copyright

Copyright © 2023 Pesantes, Barberá, Pérez-Rocher, Artacho, Vargas, Moya and Ruiz-Ruiz.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Nicole Pesantes (N)

Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), València, Spain.
Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBEResp), Madrid, Spain.

Ana Barberá (A)

Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), València, Spain.

Benjamí Pérez-Rocher (B)

Instituto de Biología Integrativa de Sistemas (I2Sysbio), CSIC-Universitat de València, València, Spain.

Alejandro Artacho (A)

Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), València, Spain.

Sergio Luís Vargas (SL)

Programa de Microbiología y Micología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile.

Andrés Moya (A)

Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), València, Spain.
Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBEResp), Madrid, Spain.
Instituto de Biología Integrativa de Sistemas (I2Sysbio), CSIC-Universitat de València, València, Spain.

Susana Ruiz-Ruiz (S)

Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), València, Spain.
Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBEResp), Madrid, Spain.

Classifications MeSH