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. 2024 Apr 9:15:1380912.
doi: 10.3389/fmicb.2024.1380912. eCollection 2024.

Improving precision management of anxiety disorders: a Mendelian randomization study targeting specific gut microbiota and associated metabolites

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Improving precision management of anxiety disorders: a Mendelian randomization study targeting specific gut microbiota and associated metabolites

Ming-Min Xu et al. Front Microbiol. .

Abstract

Background: There is growing evidence of associations between the gut microbiota and anxiety disorders, where changes in gut microbiotas may affect brain function and behavior via the microbiota-gut-brain axis. However, population-level studies offering a higher level of evidence for causality are lacking. Our aim was to investigate the specific gut microbiota and associated metabolites that are closely related to anxiety disorders to provide mechanistic insights and novel management perspectives for anxiety disorders.

Method: This study used summary-level data from publicly available Genome-Wide Association Studies (GWAS) for 119 bacterial genera and the phenotype "All anxiety disorders" to reveal the causal effects of gut microbiota on anxiety disorders and identify specific bacterial genera associated with anxiety disorders. A two-sample, bidirectional Mendelian randomization (MR) design was deployed, followed by comprehensive sensitivity analyses to validate the robustness of results. We further conducted multivariable MR (MVMR) analysis to investigate the potential impact of neurotransmitter-associated metabolites, bacteria-associated dietary patterns, drug use or alcohol consumption, and lifestyle factors such as smoking and physical activity on the observed associations.

Results: Bidirectional MR analysis identified three bacterial genera causally related to anxiety disorders: the genus Eubacterium nodatum group and genus Ruminococcaceae UCG011 were protective, while the genus Ruminococcaceae UCG011 was associated with an increased risk of anxiety disorders. Further MVMR suggested that a metabolite-dependent mechanism, primarily driven by tryptophan, tyrosine, phenylalanine, glycine and cortisol, which is consistent with previous research findings, probably played a significant role in mediating the effects of these bacterial genera to anxiety disorders. Furthermore, modifying dietary pattern such as salt, sugar and processed meat intake, and adjusting smoking state and physical activity levels, appears to be the effective approaches for targeting specific gut microbiota to manage anxiety disorders.

Conclusion: Our findings offer potential avenues for developing precise and effective management approaches for anxiety disorders by targeting specific gut microbiota and associated metabolites.

Keywords: Mendelian randomization; anxiety disorders; causal effects; gut microbiota and associated metabolites; management approaches.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
The flow chart of the study design. (A) Two-sample, bidirectional Mendelian randomization (MR) analysis; (B) multivariable MR (MVMR) analysis. SNPs: single nucleotide polymorphisms; IVs, instrumental variables; 5-HT, hydroxytryptamine; GABA: γ-aminobutyric acid.
Figure 2
Figure 2
Leave-one-out plots and scatter plots for the causal effects of identified bacterial genera on the anxiety disorders. MR, Mendelian randomization; SNP, single nucleotide polymorphism; MR Egger, MR-Egger regression.

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Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Natural Science Foundation of China (82205270 and 82104983), Guangdong Basic and Applied Basic Research Foundation (2020A1515110571), Scientific Research Program by Traditional Chinese Medicine Bureau of Guangdong Province, China (20201103), Medical Scientific Program of Guangdong Province (A2021071), and the Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine (202102010014), the Huang Zhendong Research Fund for Traditional Chinese Medicine of Jinan University (201911).

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