Alterations in Metabolome and Microbiome Associated with an Early Stress Stage in Male Wistar Rats: A Multi-Omics Approach.

animal model biomarker chronic unpredictable mild stress early stress energy disruption metabolome microbiome

Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
29 Nov 2021
Historique:
received: 29 10 2021
revised: 22 11 2021
accepted: 23 11 2021
entrez: 10 12 2021
pubmed: 11 12 2021
medline: 13 1 2022
Statut: epublish

Résumé

Stress disorders have dramatically increased in recent decades becoming the most prevalent psychiatric disorder in the United States and Europe. However, the diagnosis of stress disorders is currently based on symptom checklist and psychological questionnaires, thus making the identification of candidate biomarkers necessary to gain better insights into this pathology and its related metabolic alterations. Regarding the identification of potential biomarkers, omic profiling and metabolic footprint arise as promising approaches to recognize early biochemical changes in such disease and provide opportunities for the development of integrative candidate biomarkers. Here, we studied plasma and urine metabolites together with metagenomics in a 3 days Chronic Unpredictable Mild Stress (3d CUMS) animal approach that aims to focus on the early stress period of a well-established depression model. The multi-omics integration showed a profile composed by a signature of eight plasma metabolites, six urine metabolites and five microbes. Specifically, threonic acid, malic acid, alpha-ketoglutarate, succinic acid and cholesterol were proposed as key metabolites that could serve as key potential biomarkers in plasma metabolome of early stages of stress. Such findings targeted the threonic acid metabolism and the tricarboxylic acid (TCA) cycle as important pathways in early stress. Additionally, an increase in opportunistic microbes as virus of the

Identifiants

pubmed: 34884735
pii: ijms222312931
doi: 10.3390/ijms222312931
pmc: PMC8657954
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Julia Hernandez-Baixauli (J)

Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204 Reus, Spain.

Pere Puigbò (P)

Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204 Reus, Spain.
Department of Biochemistry and Biotechnology, Universitat Rovira i Virgili, 43007 Tarragona, Spain.
Department of Biology, University of Turku, 20014 Turku, Finland.

Nerea Abasolo (N)

Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, 43204 Reus, Spain.

Hector Palacios-Jordan (H)

Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, 43204 Reus, Spain.

Elisabet Foguet-Romero (E)

Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, 43204 Reus, Spain.

David Suñol (D)

Eurecat, Centre Tecnològic de Catalunya, Digital Health, 08005 Barcelona, Spain.

Mar Galofré (M)

Eurecat, Centre Tecnològic de Catalunya, Digital Health, 08005 Barcelona, Spain.

Antoni Caimari (A)

Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204 Reus, Spain.

Laura Baselga-Escudero (L)

Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204 Reus, Spain.

Josep M Del Bas (JMD)

Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204 Reus, Spain.

Miquel Mulero (M)

Department of Biochemistry and Biotechnology, Universitat Rovira i Virgili, 43007 Tarragona, Spain.
Nutrigenomics Research Group, Department of Biochemistry and Biotechnology, Universitat Rovira i Virgili, 43007 Tarragona, Spain.

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Classifications MeSH