New connections of medication use and polypharmacy with the gut microbiota composition and functional potential in a large populationShow others and affiliations
2024 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 14, no 1, article id 23723Article in journal (Refereed) Published
Abstract [en]
Medication can affect the gut microbiota composition and function. The aim of this study was to investigate connections between use of common non-antibiotic medicines and the gut microbiota composition and function in a large Swedish cohort (N = 2223). Use of 67 medications and polypharmacy (≥ 5 medications), based on self-reported and prescription registry data, were associated with the relative abundance of 881 gut metagenomic species (> 5% prevalence) and 103 gut metabolic modules (GMMs). Altogether, 97 associations of 26 medications with 40 species and of four medications with five GMMs were observed (false discovery rate < 5%). Several earlier findings were replicated like the positive associations of proton pump inhibitors (PPIs) with numerous oral species, and those of metformin with Escherichia species and with lactate consumption I and arginine degradation II. Several new associations were observed between, among others, use of antidepressants, beta-blockers, nonsteroidal anti-inflammatory drugs and calcium channel blockers, and specific species. Polypharmacy was positively associated with Enterococcus faecalis, Bacteroides uniformis, Rothia mucilaginosa, Escherichia coli and Limosilactobacillus vaginalis, and with 13 GMMs. We confirmed several previous findings and identified numerous new associations between use of medications/polypharmacy and the gut microbiota composition and functional potential. Further studies are needed to confirm the new findings.
Place, publisher, year, edition, pages
Nature Publishing Group, 2024. Vol. 14, no 1, article id 23723
Keywords [en]
Gut metabolic modules, Gut microbiota, Medications, Polypharmacy, Population cohort, Shotgun metagenomics
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:mau:diva-71722DOI: 10.1038/s41598-024-71571-4ISI: 001337092300112PubMedID: 39390025Scopus ID: 2-s2.0-85206055085OAI: oai:DiVA.org:mau-71722DiVA, id: diva2:1907420
2024-10-222024-10-222024-11-08Bibliographically approved