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dc.contributor.authorAsensio, Eva Maria
dc.contributor.authorOrtega-Azorín, Carolina
dc.contributor.authorBarragán-Arnal, Rocío
dc.contributor.authorAlvarez-Sala, Andrea
dc.contributor.authorSorlí, José V
dc.contributor.authorPascual, Eva C.
dc.contributor.authorFernández-Carrión, Rebeca
dc.contributor.authorVillamil, Laura V.
dc.contributor.authorCorella, Dolores
dc.contributor.authorColtell, Oscar
dc.date.accessioned2023-03-23T11:09:05Z
dc.date.available2023-03-23T11:09:05Z
dc.date.issued2022
dc.identifier.citationAsensio, E.M.; Ortega-Azorín, C.; Barragán, R.; Alvarez-Sala, A.; Sorlí, J.V.; Pascual, E.C.; Fernández-Carrión, R.; Villamil, L.V.; Corella, D.; Coltell, O. Association between MicrobiomeRelated Human Genetic Variants and Fasting Plasma Glucose in a High-Cardiovascular-Risk Mediterranean Population. Medicina 2022, 58, 1238. https://doi.org/ 10.3390/medicina58091238ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/202034
dc.description.abstractBackground and Objectives: The gut microbiota has been increasingly recognized as a relevant factor associated with metabolic diseases. However, directly measuring the microbiota composition is a limiting factor for several studies. Therefore, using genetic variables as proxies for the microbiota composition is an important issue. Landmark microbiome–host genome-wide association studies (mbGWAS) have identified many SNPs associated with gut microbiota. Our aim was to analyze the association between relevant microbiome-related genetic variants (Mi-RSNPs) and fasting glucose and type 2 diabetes in a Mediterranean population, exploring the interaction with Mediterranean diet adherence. Materials and Methods: We performed a cross-sectional study in a high-cardiovascular-risk Mediterranean population (n = 1020), analyzing the association of Mi-RSNPs (from four published mbGWAS) with fasting glucose and type 2 diabetes. A single-variant approach was used for fitting fasting glucose and type 2 diabetes to a multivariable regression model. In addition, a Mendelian randomization analysis with multiple variants was performed as a sub-study. Results: We obtained several associations between Mi-RSNPs and fasting plasma glucose involving gut Gammaproteobacteria_HB, the order Rhizobiales, the genus Rumminococcus torques group, and the genus Tyzzerella as the top ranked. For type 2 diabetes, we also detected significant associations with Mi-RSNPs related to the order Rhizobiales, the family Desulfovibrionaceae, and the genus Romboutsia. In addition, some Mi-RSNPs and adherence to Mediterranean diet interactions were detected. Lastly, the formal Mendelian randomization analysis suggested combined effects. Conclusions: Although the use of Mi-RSNPs as proxies of the microbiome is still in its infancy, and although this is the first study analyzing such associations with fasting plasma glucose and type 2 diabetes in a Mediterranean population, some interesting associations, as well as modulations, with adherence to the Mediterranean diet were detected in these high-cardiovascular-risk subjects, eliciting new hypotheses.ca_CA
dc.format.extent21 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.relation.isPartOfMedicina, 2022, 58.ca_CA
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/ca_CA
dc.subjectglucoseca_CA
dc.subjectgeneticsca_CA
dc.subjectmicrobiomeca_CA
dc.subjectMendelian randomizationca_CA
dc.subjectdietca_CA
dc.subjectMediterraneanca_CA
dc.titleAssociation between Microbiome-Related Human Genetic Variants and Fasting Plasma Glucose in a High-Cardiovascular-Risk Mediterranean Populationca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.3390/medicina58091238
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://www.mdpi.com/1648-9144/58/9/1238ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameGeneralitat Valencianaca_CA
project.funder.nameInstituto de Salud Carlos IIIca_CA
project.funder.nameMinisterio de Economía y Competitividadca_CA
project.funder.nameFondo Europeo de Desarrollo Regionalca_CA
oaire.awardNumberPROMETEO 17/2017ca_CA
oaire.awardNumberPROMETEO/2021/021ca_CA
oaire.awardNumberAPOSTD/2019/136ca_CA
oaire.awardNumberAPOSTD/2020/164ca_CA
oaire.awardNumberCIBER 06/03ca_CA
oaire.awardNumberSAF2016–80532-Rca_CA
oaire.awardNumberPID2019-108858RB-I00ca_CA
oaire.awardNumberAEI 10.13039/501100011033ca_CA


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© 2022 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
Excepto si se señala otra cosa, la licencia del ítem se describe como: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).