Publication:
Gut microbiota modulation in GLP-1RA and SGLT-2i therapy: clinical implications and mechanistic insights in Type 2 diabetes

dc.contributor.coauthorOrtiz, Alberto
dc.contributor.coauthorFouque, Denis
dc.contributor.departmentSchool of Medicine
dc.contributor.kuauthorKanbay, Mehmet
dc.contributor.kuauthorAl-Shiab, Rama
dc.contributor.kuauthorShah, Ermeena
dc.contributor.kuauthorÖzbek, Laşin
dc.contributor.kuauthorGüldan, Mustafa
dc.contributor.schoolcollegeinstituteSCHOOL OF MEDICINE
dc.date.accessioned2026-01-16T08:46:09Z
dc.date.available2026-01-16
dc.date.issued2025
dc.description.abstractGlucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT-2is) have been shown to provide extra-glycemic advantages, such as cardiovascular and renal protection, in the treatment of type 2 diabetic mellitus (T2DM). Recent data points to the possibility that gut microbiota modification may contribute to their beneficial impact. This review examines changes in microbial composition, metabolite synthesis (such as short-chain fatty acids (SCFA), bile acids, and endotoxins), and their systemic implications by integrating clinical and preclinical data on the interactions between various drug types and the gut microbiota. GLP-1RAs may favor certain taxa that synthesize SCFA and Akkermansia muciniphila. This may improve insulin sensitivity and lower inflammation. Likewise, SGLT-2is may favor a eubiotic state, which is associated with better renal and metabolic outcomes. We also discuss the use of baseline microbial profiles to predict therapy responses in a microbiota-informed precision medicine approach. Larger human investigations are required to explore causality and therapeutic efficacy, as mechanistic insights are still limited despite early encouraging findings. This narrative review synthesizes both clinical and preclinical data identified through PubMed, Scopus, Web of Science, Embase, and Google Scholar up to May 2025. Personalized holistic T2DM therapy plans that integrate both host and microbial pathways may be made possible by gut microbiota studies.
dc.description.fulltextYes
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessGreen OA
dc.description.openaccessGold OA
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.doi10.1093/ckj/sfaf351
dc.identifier.eissn2048-8513
dc.identifier.embargoNo
dc.identifier.issn2048-8505
dc.identifier.issue12
dc.identifier.pubmed41409228
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-105025558404
dc.identifier.urihttps://doi.org/10.1093/ckj/sfaf351
dc.identifier.urihttps://hdl.handle.net/20.500.14288/32074
dc.identifier.volume18
dc.identifier.wos001639117700001
dc.keywordsGLP-1 receptor agonists
dc.keywordsGut microbiota
dc.keywordsSGLT-2 inhibitors
dc.keywordsType 2 diabetes
dc.language.isoeng
dc.publisherOxford University Press
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofClinical Kidney Journal
dc.relation.openaccessYes
dc.rightsCC BY-NC-ND (Attribution-NonCommercial-NoDerivs)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectUrology & Nephrology
dc.titleGut microbiota modulation in GLP-1RA and SGLT-2i therapy: clinical implications and mechanistic insights in Type 2 diabetes
dc.typeReview
dspace.entity.typePublication
person.familyNameKanbay
person.familyNameAl-Shiab
person.familyNameShah
person.familyNameÖzbek
person.familyNameGüldan
person.givenNameMehmet
person.givenNameRama
person.givenNameErmeena
person.givenNameLaşin
person.givenNameMustafa
relation.isOrgUnitOfPublicationd02929e1-2a70-44f0-ae17-7819f587bedd
relation.isOrgUnitOfPublication.latestForDiscoveryd02929e1-2a70-44f0-ae17-7819f587bedd
relation.isParentOrgUnitOfPublication17f2dc8e-6e54-4fa8-b5e0-d6415123a93e
relation.isParentOrgUnitOfPublication.latestForDiscovery17f2dc8e-6e54-4fa8-b5e0-d6415123a93e

Files