<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Shearer J</submitter><funding>Partenariat Canadien Contre Le Cancer</funding><funding>Alberta Health</funding><funding>Alberta Cancer Foundation</funding><funding>Mitacs</funding><funding>European Commission</funding><funding>Funda??o para a Ci?ncia e a Tecnologia</funding><funding>Alberta Health Services</funding><funding>Canadian Institutes of Health Research</funding><pagination>991-1001</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11040554</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7(4)</volume><pubmed_abstract>Human gut microbiota are recognized as critical players in both metabolic disease and drug metabolism. However, medication-microbiota interactions in cardiometabolic diseases are not well understood. To gain a comprehensive understanding of how medication intake impacts the gut microbiota, we investigated the association of microbial structure with the use of single or multiple medications in a cohort of 134 middle-aged adults diagnosed with cardiometabolic disease, recruited from Alberta's Tomorrow Project. Predominant cardiometabolic prescription medication classes (12 total) were included in our analysis. Multivariate Association with Linear Model (&lt;i>MaAsLin2&lt;/i>) was employed and results were corrected for age, BMI, sex, and diet to evaluate the relationship between microbial features and single- or multimedication use. Highly individualized microbiota profiles were observed across participants, and increasing medication use was negatively correlated with α-diversity. A total of 46 associations were identified between microbial composition and single medications, exemplified by the depletion of &lt;i>Akkermansia muciniphila&lt;/i> by β-blockers and statins, and the enrichment of &lt;i>Escherichia&lt;/i>/&lt;i>Shigella&lt;/i> and depletion of &lt;i>Bacteroides xylanisolvens&lt;/i> by metformin. Metagenomics prediction further indicated alterations in microbial functions associated with single medications such as the depletion of enzymes involved in energy metabolism encoded by &lt;i>Eggerthella lenta&lt;/i> due to β-blocker use. Specific dual medication combinations also had profound impacts, including the depletion of &lt;i>Romboutsia&lt;/i> and &lt;i>Butyriciocccus&lt;/i> by statin plus metformin. Together, these results show reductions in bacterial diversity as well as species and microbial functional potential associated with both single- and multimedication use in cardiometabolic disease.</pubmed_abstract><journal>ACS pharmacology &amp; translational science</journal><pubmed_title>Microbial Features Linked to Medication Strategies in Cardiometabolic Disease Management.</pubmed_title><pmcid>PMC11040554</pmcid><funding_grant_id>2816ERA13E</funding_grant_id><funding_grant_id>2816ERA14E</funding_grant_id><funding_grant_id>150364</funding_grant_id><pubmed_authors>Shen-Tu G</pubmed_authors><pubmed_authors>Laudes M</pubmed_authors><pubmed_authors>Shearer J</pubmed_authors><pubmed_authors>Shah S</pubmed_authors><pubmed_authors>Schlicht K</pubmed_authors><pubmed_authors>Mu C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Microbial Features Linked to Medication Strategies in Cardiometabolic Disease Management.</name><description>Human gut microbiota are recognized as critical players in both metabolic disease and drug metabolism. However, medication-microbiota interactions in cardiometabolic diseases are not well understood. To gain a comprehensive understanding of how medication intake impacts the gut microbiota, we investigated the association of microbial structure with the use of single or multiple medications in a cohort of 134 middle-aged adults diagnosed with cardiometabolic disease, recruited from Alberta's Tomorrow Project. Predominant cardiometabolic prescription medication classes (12 total) were included in our analysis. Multivariate Association with Linear Model (&lt;i>MaAsLin2&lt;/i>) was employed and results were corrected for age, BMI, sex, and diet to evaluate the relationship between microbial features and single- or multimedication use. Highly individualized microbiota profiles were observed across participants, and increasing medication use was negatively correlated with α-diversity. A total of 46 associations were identified between microbial composition and single medications, exemplified by the depletion of &lt;i>Akkermansia muciniphila&lt;/i> by β-blockers and statins, and the enrichment of &lt;i>Escherichia&lt;/i>/&lt;i>Shigella&lt;/i> and depletion of &lt;i>Bacteroides xylanisolvens&lt;/i> by metformin. Metagenomics prediction further indicated alterations in microbial functions associated with single medications such as the depletion of enzymes involved in energy metabolism encoded by &lt;i>Eggerthella lenta&lt;/i> due to β-blocker use. Specific dual medication combinations also had profound impacts, including the depletion of &lt;i>Romboutsia&lt;/i> and &lt;i>Butyriciocccus&lt;/i> by statin plus metformin. Together, these results show reductions in bacterial diversity as well as species and microbial functional potential associated with both single- and multimedication use in cardiometabolic disease.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Apr</publication><modification>2026-06-01T22:52:06.769Z</modification><creation>2025-04-05T11:34:18.317Z</creation></dates><accession>S-EPMC11040554</accession><cross_references><pubmed>38665607</pubmed><doi>10.1021/acsptsci.3c00261</doi></cross_references></HashMap>