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dc.contributor.authorSorlí, José V
dc.contributor.authorBarragán-Arnal, Rocío
dc.contributor.authorColtell, Oscar
dc.contributor.authorPortolés, Olga
dc.contributor.authorPascual, Eva C.
dc.contributor.authorCAROLINA, ORTEGA-AZORÍN
dc.contributor.authorGonzález, José I.
dc.contributor.authorEstruch, Ramon
dc.contributor.authorSaiz, Carmen
dc.contributor.authorPérez-Fidalgo, J. Alejandro
dc.contributor.authorOrdovas, Jose
dc.contributor.authorCorella, Dolores
dc.date.accessioned2021-12-03T08:41:45Z
dc.date.available2021-12-03T08:41:45Z
dc.date.issued2020-11-01
dc.identifier.citationSorlí, J.V.; Barragán, R.; Coltell, O.; Portolés, O.; Pascual, E.C.; Ortega-Azorín, C.; González, J.I.; Estruch, R.; Saiz, C.; Pérez-Fidalgo, A.; Ordovas, J.M.; Corella, D. Chronological Age Interacts with the Circadian Melatonin Receptor 1B Gene Variation, Determining Fasting Glucose Concentrations in Mediterranean Populations. Additional Analyses on Type-2 Diabetes Risk. Nutrients 2020, 12, 3323. https://doi.org/10.3390/nu12113323
dc.identifier.issn2072-6643
dc.identifier.urihttp://hdl.handle.net/10234/195997
dc.description.abstractGene-age interactions have not been systematically investigated on metabolic phenotypes and this modulation will be key for a better understanding of the temporal regulation in nutrigenomics. Taking into account that aging is typically associated with both impairment of the circadian system and a decrease in melatonin secretion, we focused on the melatonin receptor 1B (MTNR1B)-rs10830963 C>G variant that has been associated with fasting glucose concentrations, gestational diabetes, and type-2 diabetes. Therefore, our main aim was to investigate whether the association between the MTNR1B-rs10830963 polymorphism and fasting glucose is age dependent. Our secondary aims were to analyze the polymorphism association with type-2 diabetes and explore the gene-pregnancies interactions on the later type-2 diabetes risk. Three Mediterranean cohorts (n = 2823) were analyzed. First, a cross-sectional study in the discovery cohort consisting of 1378 participants (aged 18 to 80 years; mean age 41 years) from the general population was carried out. To validate and extend the results, two replication cohorts consisting of elderly individuals were studied. In the discovery cohort, we observed a strong gene-age interaction (p = 0.001), determining fasting glucose in such a way that the increasing effect of the risk G-allele was much greater in young (p = 5.9 × 10−10) than in elderly participants (p = 0.805). Consistently, the association of the MTNR1B-rs10830963 polymorphism with fasting glucose concentrations in the two replication cohorts (mean age over 65 years) did not reach statistical significance (p > 0.05 for both). However, in the elderly cohorts, significant associations between the polymorphism and type-2 diabetes at baseline were found. Moreover, in one of the cohorts, we obtained a statistically significant interaction between the MTNR1B polymorphism and the number of pregnancies, retrospectively assessed, on the type-2 diabetes risk. In conclusion, the association of the MTNR1B-rs10830963 polymorphism with fasting glucose is age-dependent, having a greater effect in younger people. However, in elderly subjects, associations of the polymorphism with type-2 diabetes were observed and our exploratory analysis suggested a modulatory effect of the number of past pregnancies on the future type-2 diabetes genetic risk.
dc.format.extent20 p.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherMDPI
dc.relation.isPartOfNutrients Vol.12, Núm.11, Pág.1-20, Article Núm.3323
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/
dc.subjectmelatonin receptor
dc.subjectfasting glucose
dc.subjecttype-2 diabetes
dc.subjectMTNR1B polymorphism
dc.subjectage-interaction
dc.subjectheterogeneity
dc.subjectMediterranean population
dc.titleChronological age interacts with the circadian melatonin receptor 1b gene variation, determining fasting glucose concentrations in mediterranean populations. Additional analyses on type-2 diabetes risk
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.3390/nu12113323
dc.relation.projectIDPROMETEO2017/017
dc.relation.projectIDAPOSTD/2019/136
dc.relation.projectID538/U/2016
dc.relation.projectIDCIBER 06/03
dc.relation.projectIDPI06/1326
dc.relation.projectIDPI13/00728
dc.relation.projectIDPI16/00366
dc.relation.projectIDPI19/00781
dc.relation.projectIDSAF2016–80532-R
dc.relation.projectIDP1–1B2013–54
dc.relation.projectIDCOGRUP/2016/06
dc.relation.projectID8050–51000-098-00D
dc.rights.licenseCreative Commons - Attribution (BY)
dc.type.versioninfo:eu-repo/semantics/publishedVersion
project.funder.nameGeneralitat Valenciana
project.funder.nameFundació La Marató de TV3
project.funder.nameInstituto de Salud Carlos III
project.funder.nameMinisterio de Economía y Competitividad- Fondo Europeo de Desarrollo Regional (FEDER)
project.funder.nameUniversitat Jaume I
project.funder.namePremis Rei Jaume I d'investigació mèdica 2018
project.funder.nameUS Department of Agriculture


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