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Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder

Major depressive disorder (MDD) is among the most prevalent mental disorders worldwide. Factors causing the pathogenesis of MDD include gut microbiota (GM), which interacts with the host through the gut–brain axis. In previous studies of GM in MDD patients, 16S rRNA sequencing was used, which provid...

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Autores principales: Kovtun, Alexey S., Averina, Olga V., Angelova, Irina Y., Yunes, Roman A., Zorkina, Yana A., Morozova, Anna Y., Pavlichenko, Alexey V., Syunyakov, Timur S., Karpenko, Olga A., Kostyuk, George P., Danilenko, Valery N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496097/
https://www.ncbi.nlm.nih.gov/pubmed/36140263
http://dx.doi.org/10.3390/biomedicines10092162
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author Kovtun, Alexey S.
Averina, Olga V.
Angelova, Irina Y.
Yunes, Roman A.
Zorkina, Yana A.
Morozova, Anna Y.
Pavlichenko, Alexey V.
Syunyakov, Timur S.
Karpenko, Olga A.
Kostyuk, George P.
Danilenko, Valery N.
author_facet Kovtun, Alexey S.
Averina, Olga V.
Angelova, Irina Y.
Yunes, Roman A.
Zorkina, Yana A.
Morozova, Anna Y.
Pavlichenko, Alexey V.
Syunyakov, Timur S.
Karpenko, Olga A.
Kostyuk, George P.
Danilenko, Valery N.
author_sort Kovtun, Alexey S.
collection PubMed
description Major depressive disorder (MDD) is among the most prevalent mental disorders worldwide. Factors causing the pathogenesis of MDD include gut microbiota (GM), which interacts with the host through the gut–brain axis. In previous studies of GM in MDD patients, 16S rRNA sequencing was used, which provided information about composition but not about function. In our study, we analyzed whole metagenome sequencing data to assess changes in both the composition and functional profile of GM. We looked at the GM of 36 MDD patients, compared with that of 38 healthy volunteers. Comparative taxonomic analysis showed decreased abundances of Faecalibacterium prausnitzii, Roseburia hominis, and Roseburia intestinalis, and elevated abundances of Escherichia coli and Ruthenibacterium lactatiformans in the GM of MDD patients. We observed decreased levels of bacterial genes encoding key enzymes involved in the production of arginine, asparagine, glutamate, glutamine, melatonin, acetic, butyric and conjugated linoleic acids, and spermidine in MDD patients. These genes produced signature pairs with Faecalibacterium prausntizii and correlated with decreased levels of this species in the GM of MDD patients. These results show the potential impact of the identified biomarker bacteria and their metabolites on the pathogenesis of MDD, and should be confirmed in future metabolomic studies.
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spelling pubmed-94960972022-09-23 Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder Kovtun, Alexey S. Averina, Olga V. Angelova, Irina Y. Yunes, Roman A. Zorkina, Yana A. Morozova, Anna Y. Pavlichenko, Alexey V. Syunyakov, Timur S. Karpenko, Olga A. Kostyuk, George P. Danilenko, Valery N. Biomedicines Article Major depressive disorder (MDD) is among the most prevalent mental disorders worldwide. Factors causing the pathogenesis of MDD include gut microbiota (GM), which interacts with the host through the gut–brain axis. In previous studies of GM in MDD patients, 16S rRNA sequencing was used, which provided information about composition but not about function. In our study, we analyzed whole metagenome sequencing data to assess changes in both the composition and functional profile of GM. We looked at the GM of 36 MDD patients, compared with that of 38 healthy volunteers. Comparative taxonomic analysis showed decreased abundances of Faecalibacterium prausnitzii, Roseburia hominis, and Roseburia intestinalis, and elevated abundances of Escherichia coli and Ruthenibacterium lactatiformans in the GM of MDD patients. We observed decreased levels of bacterial genes encoding key enzymes involved in the production of arginine, asparagine, glutamate, glutamine, melatonin, acetic, butyric and conjugated linoleic acids, and spermidine in MDD patients. These genes produced signature pairs with Faecalibacterium prausntizii and correlated with decreased levels of this species in the GM of MDD patients. These results show the potential impact of the identified biomarker bacteria and their metabolites on the pathogenesis of MDD, and should be confirmed in future metabolomic studies. MDPI 2022-09-02 /pmc/articles/PMC9496097/ /pubmed/36140263 http://dx.doi.org/10.3390/biomedicines10092162 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kovtun, Alexey S.
Averina, Olga V.
Angelova, Irina Y.
Yunes, Roman A.
Zorkina, Yana A.
Morozova, Anna Y.
Pavlichenko, Alexey V.
Syunyakov, Timur S.
Karpenko, Olga A.
Kostyuk, George P.
Danilenko, Valery N.
Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder
title Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder
title_full Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder
title_fullStr Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder
title_full_unstemmed Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder
title_short Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder
title_sort alterations of the composition and neurometabolic profile of human gut microbiota in major depressive disorder
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496097/
https://www.ncbi.nlm.nih.gov/pubmed/36140263
http://dx.doi.org/10.3390/biomedicines10092162
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