Evidence mapPaperPMID 41977345Full record

ArticleInternational journal of molecular sciences2026

Gut Microbiome Signatures Distinguish Susceptibility from Disease Development in Type 2 Diabetes.

Chen Ifrach, Ruth Levy-Turgeman, Amir Szitenberg, Inbar Kesten, Milena Pitashny, Nomy Levin-Iaina, Yael Segev, Yoram Yagil

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Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Chen IfrachLaboratory for Molecular Medicine, Barzilai University Medical Center, Ashkelon 78278, Israel.ORCID 0000-0002-0898-1320
Ruth Levy-TurgemanLaboratory for Molecular Medicine, Barzilai University Medical Center, Ashkelon 78278, Israel.
Amir SzitenbergThe Mantoux Bioinformatics Institute of the Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot 7632706, Israel.ORCID 0000-0002-7309-2845
Inbar KestenClinical and Research Microbiome Center, Rambam Health Care Campus, Haifa 3109601, Israel.
Milena PitashnyClinical and Research Microbiome Center, Rambam Health Care Campus, Haifa 3109601, Israel.
Nomy Levin-IainaLaboratory for Molecular Medicine, Barzilai University Medical Center, Ashkelon 78278, Israel.
Yael SegevFaculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheba 8410501, Israel.
Yoram YagilLaboratory for Molecular Medicine, Barzilai University Medical Center, Ashkelon 78278, Israel.ORCID 0000-0001-6777-050X

Funding

Institutional funds N/A
6 · The paper itself

Abstract

Individuals may be prone or resistant to the development of type 2 diabetes. The basis for susceptibility is in part genetic, but environmental factors are likely to come into play. The gut microbiome stands at the interface of genetics and the host microenvironment. Its role in mediating susceptibility to diabetes, however, has not been resolved. Here we investigated whether the gut microbial composition contributes to susceptibility to diabetes, as distinct from disease development. We hypothesized that distinct microbial signatures modulate sensitivity or resistance to a diabetogenic diet (DD) and that separate signatures are linked to disease development. To test this hypothesis, we studied the Cohen diabetic rat model, comprising a diabetes-sensitive strain (CDs/y) and a diabetes-resistant strain (CDr/y). When exposed to DD, diabetes develops in CDs/y but not in CDr/y rats; on a regular diet (RD), both strains remain metabolically normal. To establish the contribution of the gut microbiome to susceptibility, we studied the fecal microbial composition in young, metabolically healthy CDs/y and CDr/y rats, using 16S rRNA gene sequencing, measures of α- and β-diversity, and differential taxonomic abundance. We found distinct, strain-specific gut microbiota profiles that differentiated diabetes-sensitive from -resistant animals, indicating an association between microbial composition and susceptibility. To test causality, we co-housed sensitive and resistant animals to allow passive microbial cross-transfer and fed the animals with DD. Co-housing led to partial convergence of microbial communities and significantly attenuated the diabetic phenotype in CDs/y rats, supporting a contributory and causal role for the gut microbiome in modulating sensitivity to diabetes. The resistance phenotype, on the other hand, remained unchanged. To distinguish between the contribution of the gut microbiome to susceptibility to diabetes as opposed to the development of the disease, we studied the gut microbial profiles across strains after feeding with DD or RD and the development of diabetes in CDs/y but not in CDr/y. We found distinct taxonomic signatures that differentiated diabetic from non-diabetic animals. These findings demonstrate that the gut microbiome contributes to susceptibility to diabetes with separate pathways from those linked to the development of diabetes and may represent an important modifiable determinant of diabetes risk and a target for early intervention.

Indexed as

Diabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2Gastrointestinal MicrobiomeAnimalsDisease Models, AnimalDisease SusceptibilityFecesMaleRatsRNA, Ribosomal, 16SRNA, Ribosomal, 16SCohen diabetic ratdiabetesdisease developmentgenusmicrobiomerat modelssusceptibility

Identifiers

PMID41977345
PMCPMC13073554

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.