Blood microbiota and metabolomic signature of major depression before and after antidepressant treatment: a prospective case-control study.
Adult
Antidepressive Agents
/ pharmacology
Bacteria
/ classification
Blood
/ drug effects
Brain-Gut Axis
/ drug effects
Carbohydrate Metabolism
/ drug effects
Case-Control Studies
Depressive Disorder, Major
/ blood
Dysbiosis
/ blood
Female
Gastrointestinal Microbiome
/ drug effects
Humans
Lipid Metabolism
/ drug effects
Male
Metabolome
/ drug effects
Microbiota
/ drug effects
Journal
Journal of psychiatry & neuroscience : JPN
ISSN: 1488-2434
Titre abrégé: J Psychiatry Neurosci
Pays: Canada
ID NLM: 9107859
Informations de publication
Date de publication:
19 05 2021
19 05 2021
Historique:
entrez:
19
5
2021
pubmed:
20
5
2021
medline:
27
1
2022
Statut:
epublish
Résumé
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. 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. 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. 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. 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.
Sections du résumé
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.
Identifiants
pubmed: 34008933
doi: 10.1503/jpn.200159
pmc: PMC8327971
doi:
Substances chimiques
Antidepressive Agents
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
E358-E368Informations de copyright
© 2021 CMA Joule Inc. or its licensors.
Déclaration de conflit d'intérêts
D. David serves as a consultant for and receives compensation from Lundbeck. G. Perlemuter reports grants and personal fees from Servier (IRIS); personal fees and non-financial support from Gilead; personal fees from Bicodex, Pileje, Elsevier Masson, Flammarion and Solar; and non-financial support from Abbvie, all outside the submitted work. No other competing interests declared.
Références
FEMS Microbiol Rev. 2015 Jul;39(4):567-91
pubmed: 25940667
Lancet. 2015 Aug 22;386(9995):743-800
pubmed: 26063472
Nat Rev Gastroenterol Hepatol. 2017 Feb;14(2):69-70
pubmed: 28053341
Transfusion. 2016 May;56(5):1138-47
pubmed: 26865079
Nord J Psychiatry. 2020 May - Jul;74(5):346-351
pubmed: 31961248
J Neurol Neurosurg Psychiatry. 1960 Feb;23:56-62
pubmed: 14399272
Psychosom Med. 2011 Feb-Mar;73(2):114-26
pubmed: 21257974
Nat Med. 2016 Jun;22(6):586-97
pubmed: 27158906
Neurobiol Dis. 2020 Dec;146:105136
pubmed: 33080337
Aliment Pharmacol Ther. 2018 Nov;48(9):961-974
pubmed: 30144108
Nat Commun. 2019 Jun 20;10(1):2719
pubmed: 31222023
Nutrients. 2016 Aug 06;8(8):
pubmed: 27509521
Clin Mol Hepatol. 2018 Jun;24(2):100-107
pubmed: 29268595
Lancet. 2012 Dec 15;380(9859):2163-96
pubmed: 23245607
Nat Rev Neurosci. 2016 Aug;17(8):497-511
pubmed: 27277867
J Psychiatr Res. 2016 Nov;82:109-18
pubmed: 27491067
Brain Behav Immun. 2015 Aug;48:186-94
pubmed: 25882912
Endocrine. 2016 Aug;53(2):543-50
pubmed: 27106800
Am J Psychiatry. 2020 Oct 1;177(10):974-990
pubmed: 32731813
Nat Metab. 2020 Mar;2(3):233-242
pubmed: 32694777
Gut. 2001 May;48(5):630-6
pubmed: 11302959
Hepatology. 2018 Apr;67(4):1284-1302
pubmed: 29083504
Mol Psychiatry. 2016 Jun;21(6):786-96
pubmed: 27067014
Sci Rep. 2018 Mar 19;8(1):4822
pubmed: 29555983
Mol Psychiatry. 2013 Jun;18(6):666-73
pubmed: 22688187
Front Cell Infect Microbiol. 2019 May 08;9:148
pubmed: 31139578
Mol Psychiatry. 2014 Aug;19(8):910-4
pubmed: 24296976
Hepatology. 2016 Dec;64(6):2015-2027
pubmed: 27639192
Neuropharmacology. 2016 Apr;103:122-33
pubmed: 26686392
Transl Psychiatry. 2018 Jul 10;8(1):130
pubmed: 29991685
J Affect Disord. 2012 Dec 1;141(1):55-62
pubmed: 22410503
Microbiology (Reading). 2015 Jul;161(7):1297-1312
pubmed: 25814039
Am J Psychiatry. 2006 Jan;163(1):28-40
pubmed: 16390886
Nat Microbiol. 2019 Apr;4(4):623-632
pubmed: 30718848
World Psychiatry. 2015 Oct;14(3):366-7
pubmed: 26407797
Int J Psychiatry Clin Pract. 2021 Mar;25(1):49-55
pubmed: 32757874
Gut. 2020 Jul;69(7):1362-1363
pubmed: 31203205
J Affect Disord. 2020 Apr 1;266:37-42
pubmed: 32056901
Hepatology. 2018 Apr;67(4):1207-1209
pubmed: 29083499
Acta Neuropsychiatr. 2016 Jun;28(3):173-8
pubmed: 26512905