Molecular PsychiatryMicrobiologyPeer-reviewed journal article
Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression
Amanda Hazel DilmoreiD, Rayus KuplickiiD, Daniel L. McDonaldiD, Megha Kumar, Mehrbod EstakiiD, Nicholas D. YoungblutiD, Alexander TyakhtiD, Gail L. AckermanniD, Colette BlachiD, Siamak MahmoudianDehkordiiD, Boadie Waid DunlopiD, Sudeepa BhattacharyyaiD, Salvador Martin GuinjoaniD, Pooja R. MandaviyaiD, Ruth E. LeyiD, Rima Kaddurah‐DaoukiD, Martin P. PaulusiD, Rob D. KnightiD
Abstract
This study investigated the relationship between gut microbiota and neuropsychiatric disorders (NPDs), specifically anxiety disorder (ANXD) and/or major depressive disorder (MDD), as defined by DSM-IV or V criteria. The study also examined the influence of medication use, particularly antidepressants and/or anxiolytics, classified through the Anatomical Therapeutic Chemical (ATC) Classification System, on the gut microbiota. Both 16S rRNA gene amplicon sequencing and shallow shotgun sequencing were performed on DNA extracted from 666 fecal samples from the Tulsa-1000 and NeuroMAP CoBRE cohorts. The results highlight the significant influence of medication use; antidepressant use is associated with significant differences in gut microbiota beta diversity and has a larger effect size than NPD diagnosis. Next, specific microbes were associated with ANXD and MDD, highlighting their potential for non-pharmacological intervention. Finally, the study demonstrated the capability of Random Forest classifiers to predict diagnoses of NPD and medication use from microbial profiles, suggesting a promising direction for the use of gut microbiota as biomarkers for NPD. The findings suggest that future research on the gut microbiotas role in NPD and its interactions with pharmacological treatments are needed.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: drug response / drug discovery
- approach: statistical model
- Citations
- 23
- FWCI
- 5.23
- Field percentile
- top 3%
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