A microbiota-informed pipeline for in vitro characterisation of insulinotropic properties of dairy fermentates using static EndoC-βH1 and dynamic microfluidic models

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dc.contributor.authorGarcia-Gutierrez, Enriquetaen
dc.contributor.authorPonsero, Alise J.en
dc.contributor.authorCalero, Víctoren
dc.contributor.authorSlattery, Helenen
dc.contributor.authorGonçalves, Catarinaen
dc.contributor.authorMarroquí, Lauraen
dc.contributor.authorCotter, Paul D.en
dc.contributor.funderEuropean Commissionen
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidadesen
dc.contributor.funderHORIZON EUROPE Framework Programmeen
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEnterprise Irelanden
dc.contributor.funderHorizon 2020en
dc.date.accessioned2026-09-10T11:01:24Z
dc.date.available2026-09-10T11:01:24Z
dc.date.issued2026-08-03en
dc.description.abstractDiabetes mellitus (DM), which encompasses Type 1, Type 2 and gestational diabetes, affects approximately 537 million adults, with prevalence continuing to rise. In addition to pregnancy, factors such as dietary choices, lifestyle and infections can lead to the development of DM. Given the increasing prevalence of DM, it is necessary to continue to identify approaches to control the release of insulin. Emerging evidence indicates that the gut microbiota plays a central role in mediating the metabolic effects of diet on the host, including the regulation of insulin secretion. Dietary interventions have been proven to be successful in this regard, but identifying foods and food components that influence insulin secretion is challenging due to the complexity of diet-microbiota-host interactions and the lack of fast and standardised screening tools. We have developed a novel screening framework based on the β-cell insulin response, using the human cell line EndoC-βH1 to assess candidate foods and ingredients with insulinotropic properties. As an initial proof-of-concept, we applied the framework to food ingredients, i.e., dairy-derived fermentates, which had first undergone simulated digestion followed by addition to an ex vivo colon model, allowing us to mimic the metabolic transformations taking place in the human gut. The processed colonic fermentation supernatants were then evaluated using a static and microfluidic platform, respectively, to capture dynamic insulin release profiles. Distinct fermentate compositions were associated with varying levels of insulin secretion. Our results suggest that this framework could be applied broadly to screen foods and food components for insulinotropic potential, providing an affordable approach for the development for anti-diabetic dietary applications.en
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades|PID2020-117569RA-I00; Ministerio de Ciencia, Innovación y Universidades|PID2023-147823OB-I00; Ministerio de Ciencia, Innovación y Universidades|CNS2022–135505; Ministerio de Ciencia, Innovación y Universidades|MCIN/AEI/10.13039/501100011033; Horizon 2020|847402; Science Foundation Ireland|SFI/12/RC/2273; Science Foundation Ireland|SFI/16/RC/3835 (VistaMilk); Enterprise Ireland|Food Health Ireland project;Horizon Europe|101060218|DOMINO;Horizon Europe|101084642|Co-Dieten
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid120207en
dc.identifier.citationGarcia-Gutierrez, E., Ponsero, A. J., Calero, V., Slattery, H., Gonçalves, C., Marroquí, L. and Cotter, P. D. (2026) 'A microbiota-informed pipeline for in vitro characterisation of insulinotropic properties of dairy fermentates using static EndoC-βH1 and dynamic microfluidic models', Food Research International, 120207 (12pp). https://doi.org/10.1016/j.foodres.2026.120207en
dc.identifier.doi10.1016/j.foodres.2026.120207en
dc.identifier.endpage12en
dc.identifier.issn0963-9969en
dc.identifier.journaltitleFood Research Internationalen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/19235
dc.identifier.volume242en
dc.language.isoenen
dc.publisherElsevier BVen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/Research Centres Programme/16/RC/3835/IE/VistaMilk Centre/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/Research Centres Programme/12/RC/2273/IE/Alimentary Pharmabiotic Centre (APC) - Interfacing Food & Medicine/en
dc.relation.projectinfo:eu-repo/grantAgreement/EC/HE::HORIZON-RIA/101060218/EU/Harnessing the microbial potential of fermented foods for healthy and sustainable food systems/DOMINOen
dc.relation.projectinfo:eu-repo/grantAgreement/EC/HE::HORIZON-RIA/101084642/EU/COMBATTING DIET RELATED NON-COMMUNICABLE DISEASE THROUGH ENHANCED SURVEILLANCE/CoDieten
dc.rights© 2026, the Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ ).en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectBeta cellsen
dc.subjectSCFAen
dc.subjectGut microbiotaen
dc.subjectDairy fermentatesen
dc.subjectDiabetesen
dc.subjectInsulin secretionen
dc.subjectDynamic secretionen
dc.subjectMicrofluidicsen
dc.titleA microbiota-informed pipeline for in vitro characterisation of insulinotropic properties of dairy fermentates using static EndoC-βH1 and dynamic microfluidic modelsen
dc.typeArticle (peer-reviewed)en
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