AFRODITI KOURAKI Afroditi.Kouraki1@nottingham.ac.uk
Research Fellow
Reproducible microbiome composition signatures of anxiety and depressive symptoms
Kouraki, Afroditi; Kelly, Anthony; Vijay, Amrita; Gohir, Sameer; Astbury, Stuart; Georgopoulos, Vasileios; Millar, Bonnie; Walsh, David Andrew; Ferguson, Eamonn; Menni, Cristina; Valdes, Ana M
Authors
Anthony Kelly
AMRITA VIJAY Amrita.Vijay@nottingham.ac.uk
Research Fellow
Sameer Gohir
STUART ASTBURY STUART.ASTBURY@NOTTINGHAM.AC.UK
Senior Research Fellow
Dr VASILEIOS GEORGOPOULOS VASILEIOS.GEORGOPOULOS@NOTTINGHAM.AC.UK
Research Fellow
Bonnie Millar
David Andrew Walsh
EAMONN FERGUSON eamonn.ferguson@nottingham.ac.uk
Professor of Health Psychology
Cristina Menni
Professor ANA VALDES Ana.Valdes@nottingham.ac.uk
Professor of Molecular & Genetic Epidemiology
Abstract
The gut microbiome is a significant contributor to mental health, with growing evidence linking its composition to anxiety and depressive disorders. Gut microbiome composition is associated with signs of anxiety and depression both in clinically diagnosed mood disorders and subclinically in the general population and may be influenced by dietary fibre intake and the presence of chronic pain. We provide an update of current evidence on the role of gut microbiome composition in depressive and anxiety disorders or symptoms by reviewing available studies. Analysing data from three independent cohorts (osteoarthritis 1 (OA1); n=46, osteoarthritis 2 (OA2); n=58, and healthy controls (CON); n=67), we identified microbial composition signatures of anxiety and depressive symptoms at genus level and cross-validated our findings performing meta-analyses of our results with results from previously published studies. The genera Bifidobacterium (fixed-effect beta (95% CI) = -0.22 (-0.34, -0.10), p = 3.90e-04) and Lachnospiraceae NK4A136 group (fixed-effect beta (95% CI) = -0.09 (-0.13, -0.05), p = 2.53e-06) were found to be the best predictors of anxiety and depressive symptoms, respectively, across our three cohorts and published literature taking into account demographic and lifestyle covariates, such as fibre intake. The association with anxiety was robust in accounting for heterogeneity between cohorts and supports previous observations of the potential prophylactic effect of Bifidobacterium against anxiety symptoms.
Citation
Kouraki, A., Kelly, A., Vijay, A., Gohir, S., Astbury, S., Georgopoulos, V., …Valdes, A. M. (2023). Reproducible microbiome composition signatures of anxiety and depressive symptoms. Computational and Structural Biotechnology Journal, 21, 5326-5336. https://doi.org/10.1016/j.csbj.2023.10.035
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 17, 2023 |
Online Publication Date | Oct 18, 2023 |
Publication Date | Jan 1, 2023 |
Deposit Date | Oct 24, 2023 |
Publicly Available Date | Oct 31, 2023 |
Journal | Computational and Structural Biotechnology Journal |
Electronic ISSN | 2001-0370 |
Publisher | Research Network of Computational and Structural Biotechnology |
Peer Reviewed | Peer Reviewed |
Volume | 21 |
Pages | 5326-5336 |
DOI | https://doi.org/10.1016/j.csbj.2023.10.035 |
Keywords | Anxiety symptoms; Depressive symptoms; Gut microbiota; Fibre; Chronic pain; Meta-analysis |
Public URL | https://nottingham-repository.worktribe.com/output/26261917 |
Publisher URL | https://www.csbj.org/article/S2001-0370(23)00391-4/fulltext |
Related Public URLs | https://www.sciencedirect.com/science/article/pii/S2001037023003914 |
Additional Information | This article is maintained by: Elsevier; Article Title: Reproducible microbiome composition signatures of anxiety and depressive symptoms; Journal Title: Computational and Structural Biotechnology Journal; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.csbj.2023.10.035; Content Type: article; Copyright: © 2023 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. |
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Copyright Statement
© 2023 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology
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