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Blood microbiota and metabolomic signature of major depression before and after antidepressant treatment: a prospective case–control study

BACKGROUND: The microbiota interacts with the brain through the gut–brain axis, and a distinct dysbiosis may lead to major depressive episodes. Bacteria can pass through the gut barrier and be found in the blood. Using a multiomic approach, we investigated whether a distinct blood microbiome and met...

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Autores principales: Ciocan, Dragos, Cassard, Anne-Marie, Becquemont, Laurent, Verstuyft, Céline, Voican, Cosmin Sebastian, El Asmar, Khalil, Colle, Romain, David, Denis, Trabado, Séverine, Feve, Bruno, Chanson, Philippe, Perlemuter, Gabriel, Corruble, Emmanuelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: CMA Joule Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327971/
https://www.ncbi.nlm.nih.gov/pubmed/34008933
http://dx.doi.org/10.1503/jpn.200159
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author Ciocan, Dragos
Cassard, Anne-Marie
Becquemont, Laurent
Verstuyft, Céline
Voican, Cosmin Sebastian
El Asmar, Khalil
Colle, Romain
David, Denis
Trabado, Séverine
Feve, Bruno
Chanson, Philippe
Perlemuter, Gabriel
Corruble, Emmanuelle
author_facet Ciocan, Dragos
Cassard, Anne-Marie
Becquemont, Laurent
Verstuyft, Céline
Voican, Cosmin Sebastian
El Asmar, Khalil
Colle, Romain
David, Denis
Trabado, Séverine
Feve, Bruno
Chanson, Philippe
Perlemuter, Gabriel
Corruble, Emmanuelle
author_sort Ciocan, Dragos
collection PubMed
description BACKGROUND: The microbiota interacts with the brain through the gut–brain axis, and a distinct dysbiosis may lead to major depressive episodes. Bacteria can pass through the gut barrier and be found in the blood. Using a multiomic approach, we investigated whether a distinct blood microbiome and metabolome was associated with major depressive episodes, and how it was modulated by treatment. METHODS: In this case–control multiomic study, we analyzed the blood microbiome composition, inferred bacterial functions and metabolomic profile of 56 patients experiencing a current major depressive episode and 56 matched healthy controls, before and after treatment, using 16S rDNA sequencing and liquid chromatography coupled to tandem mass spectrometry. RESULTS: The baseline blood microbiome in patients with a major depressive episode was distinct from that of healthy controls (patients with a major depressive episode had a higher proportion of Janthinobacterium and lower levels of Neisseria) and changed after antidepressant treatment. Predicted microbiome functions confirmed by metabolomic profiling showed that patients who were experiencing a major depressive episode had alterations in the cyanoamino acid pathway at baseline. High baseline levels of Firmicutes and low proportions of Bosea and Tetrasphaera were associated with response to antidepressant treatment. Based on inferred baseline metagenomic profiles, bacterial pathways that were significantly associated with treatment response were related to xenobiotics, amino acids, and lipid and carbohydrate metabolism, including tryptophan and drug metabolism. Metabolomic analyses showed that plasma tryptophan levels are independently associated with response to antidepressant treatment. LIMITATIONS: Our study has some limitations, including a lack of information on blood microbiome origin and the lack of a validation cohort to confirm our results. CONCLUSION: Patients with depression have a distinct blood microbiome and metabolomic signature that changes after treatment. Dysbiosis could be a new therapeutic target and prognostic tool for the treatment of patients who are experiencing a major depressive episode.
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spelling pubmed-83279712021-08-06 Blood microbiota and metabolomic signature of major depression before and after antidepressant treatment: a prospective case–control study Ciocan, Dragos Cassard, Anne-Marie Becquemont, Laurent Verstuyft, Céline Voican, Cosmin Sebastian El Asmar, Khalil Colle, Romain David, Denis Trabado, Séverine Feve, Bruno Chanson, Philippe Perlemuter, Gabriel Corruble, Emmanuelle J Psychiatry Neurosci Research Paper BACKGROUND: The microbiota interacts with the brain through the gut–brain axis, and a distinct dysbiosis may lead to major depressive episodes. Bacteria can pass through the gut barrier and be found in the blood. Using a multiomic approach, we investigated whether a distinct blood microbiome and metabolome was associated with major depressive episodes, and how it was modulated by treatment. METHODS: In this case–control multiomic study, we analyzed the blood microbiome composition, inferred bacterial functions and metabolomic profile of 56 patients experiencing a current major depressive episode and 56 matched healthy controls, before and after treatment, using 16S rDNA sequencing and liquid chromatography coupled to tandem mass spectrometry. RESULTS: The baseline blood microbiome in patients with a major depressive episode was distinct from that of healthy controls (patients with a major depressive episode had a higher proportion of Janthinobacterium and lower levels of Neisseria) and changed after antidepressant treatment. Predicted microbiome functions confirmed by metabolomic profiling showed that patients who were experiencing a major depressive episode had alterations in the cyanoamino acid pathway at baseline. High baseline levels of Firmicutes and low proportions of Bosea and Tetrasphaera were associated with response to antidepressant treatment. Based on inferred baseline metagenomic profiles, bacterial pathways that were significantly associated with treatment response were related to xenobiotics, amino acids, and lipid and carbohydrate metabolism, including tryptophan and drug metabolism. Metabolomic analyses showed that plasma tryptophan levels are independently associated with response to antidepressant treatment. LIMITATIONS: Our study has some limitations, including a lack of information on blood microbiome origin and the lack of a validation cohort to confirm our results. CONCLUSION: Patients with depression have a distinct blood microbiome and metabolomic signature that changes after treatment. Dysbiosis could be a new therapeutic target and prognostic tool for the treatment of patients who are experiencing a major depressive episode. CMA Joule Inc. 2021-05 /pmc/articles/PMC8327971/ /pubmed/34008933 http://dx.doi.org/10.1503/jpn.200159 Text en © 2021 CMA Joule Inc. or its licensors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY-NC-ND 4.0) licence, which permits use, distribution and reproduction in any medium, provided that the original publication is properly cited, the use is noncommercial (i.e., research or educational use), and no modifications or adaptations are made. See: https://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Research Paper
Ciocan, Dragos
Cassard, Anne-Marie
Becquemont, Laurent
Verstuyft, Céline
Voican, Cosmin Sebastian
El Asmar, Khalil
Colle, Romain
David, Denis
Trabado, Séverine
Feve, Bruno
Chanson, Philippe
Perlemuter, Gabriel
Corruble, Emmanuelle
Blood microbiota and metabolomic signature of major depression before and after antidepressant treatment: a prospective case–control study
title Blood microbiota and metabolomic signature of major depression before and after antidepressant treatment: a prospective case–control study
title_full Blood microbiota and metabolomic signature of major depression before and after antidepressant treatment: a prospective case–control study
title_fullStr Blood microbiota and metabolomic signature of major depression before and after antidepressant treatment: a prospective case–control study
title_full_unstemmed Blood microbiota and metabolomic signature of major depression before and after antidepressant treatment: a prospective case–control study
title_short Blood microbiota and metabolomic signature of major depression before and after antidepressant treatment: a prospective case–control study
title_sort blood microbiota and metabolomic signature of major depression before and after antidepressant treatment: a prospective case–control study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327971/
https://www.ncbi.nlm.nih.gov/pubmed/34008933
http://dx.doi.org/10.1503/jpn.200159
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