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  Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression

Dimore, A., Kuplicki, R., McDonald, D., Kumar, M., Estaki, M., Youngblut, N., et al. (2025). Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression. Molecular Psychiatry, Epub ahead. doi:10.1038/s41380-024-02857-2.

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Dimore, AH, Autor
Kuplicki, R, Autor
McDonald, D, Autor
Kumar, M, Autor
Estaki, M, Autor
Youngblut, N1, Autor                 
Tyakht, A1, 2, Autor                 
Ackermann, G, Autor
Blach, C, Autor
MahmoudianDehkordi, S, Autor
Dunlop, BW, Autor
Bhattacharyya, S, Autor
Guinjoan, S, Autor
Mandaviya, P, Autor
Ley, RE1, Autor                 
Kaddaruh-Dauok, R, Autor
Paulus, MP, Autor
Knight, R, Autor
Alzheimer Gut Microbiome Project Consortium, Autor
Affiliations:
1Department Microbiome Science, Max Planck Institute for Biology Tübingen, Max Planck Society, ou_3371684              
2Mobile Genetic Elements in the Gut Microbiome of Human Populations Group, Department Microbiome Science, Max Planck Institute for Biology Tübingen, Max Planck Society, ou_3507721              

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 Zusammenfassung: 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 Diagnostic and Statistical Manual of Mental Disorders (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 (16S) and shallow shotgun sequencing (WGS) were performed on DNA extracted from 666 fecal samples from the Tulsa-1000 and Neurocomputational Mechanisms of Affiliation and Personality Study Center for Biomedical Research Excellence (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. Though the effect sizes were larger in females than males, similar trends emerged for both sexes. These findings encourage future research on the gut microbiota's role in NPD and its interactions with pharmacological treatments.

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 Datum: 2025-01
 Publikationsstatus: Online veröffentlicht
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 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1038/s41380-024-02857-2
PMID: 39794490
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Titel: Molecular Psychiatry
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: Houndmills, Hampshire, UK : Stockton Press
Seiten: - Band / Heft: Epub ahead Artikelnummer: - Start- / Endseite: - Identifikator: ISSN: 1359-4184
CoNE: https://pure.mpg.de/cone/journals/resource/954925619131