CLOCK gene variation is associated with incidence of type-2 diabetes and cardiovascular diseases in type-2 diabetic subjects: dietary modulation in the PREDIMED randomized trial. Issue 1 (December 2016)
- Record Type:
- Journal Article
- Title:
- CLOCK gene variation is associated with incidence of type-2 diabetes and cardiovascular diseases in type-2 diabetic subjects: dietary modulation in the PREDIMED randomized trial. Issue 1 (December 2016)
- Main Title:
- CLOCK gene variation is associated with incidence of type-2 diabetes and cardiovascular diseases in type-2 diabetic subjects: dietary modulation in the PREDIMED randomized trial
- Authors:
- Corella, Dolores
Asensio, Eva.
Coltell, Oscar
Sorlí, José
Estruch, Ramón
Martínez-González, Miguel
Salas-Salvadó, Jordi
Castañer, Olga
Arós, Fernando
Lapetra, José
Serra-Majem, Lluís
Gómez-Gracia, Enrique
Ortega-Azorín, Carolina
Fiol, Miquel
Espino, Javier
Díaz-López, Andrés
Fitó, Montserrat
Ros, Emilio
Ordovás, José - Abstract:
- Abstract Background Circadian rhythms regulate key biological processes influencing metabolic pathways. Disregulation is associated with type 2 diabetes (T2D) and cardiovascular diseases (CVD). Circadian rhythms are generated by a transcriptional autoregulatory feedback loop involving core clock genes.CLOCK (circadian locomotor output cycles protein kaput), one of those core genes, is known to regulate glucose metabolism in rodent models. Cross-sectional studies in humans have reported associations between this locus and obesity, plasma glucose, hypertension and T2D prevalence, supporting its role in cardiovascular risk. However, no longitudinal study has investigated the association betweenCLOCK gene variation and T2D or CVD incidence. Moreover, although in a previous work we detected a gene-diet interaction between theCLOCK -rs4580704 (C > G) single nucleotide polymorphism (SNP) and monounsaturated (MUFA) intake on insulin resistance, no interventional study has analyzed gene-diet interactions on T2D or CVD outcomes. Methods We analyzed the association between theCLOCK -rs4580704 SNP and incidence of T2D and CVD longitudinally in 7098 PREDIMED trial (ISRCTN35739639) participants after a median 4.8-year follow-up. We also examined modulation by Mediterranean diet (MedDiet) intervention (high in MUFA) on these associations. Results We observed a significant association between theCLOCK -rs4580704 SNP and T2D incidence in n = 3671 non-T2D PREDIMED participants, with variantAbstract Background Circadian rhythms regulate key biological processes influencing metabolic pathways. Disregulation is associated with type 2 diabetes (T2D) and cardiovascular diseases (CVD). Circadian rhythms are generated by a transcriptional autoregulatory feedback loop involving core clock genes.CLOCK (circadian locomotor output cycles protein kaput), one of those core genes, is known to regulate glucose metabolism in rodent models. Cross-sectional studies in humans have reported associations between this locus and obesity, plasma glucose, hypertension and T2D prevalence, supporting its role in cardiovascular risk. However, no longitudinal study has investigated the association betweenCLOCK gene variation and T2D or CVD incidence. Moreover, although in a previous work we detected a gene-diet interaction between theCLOCK -rs4580704 (C > G) single nucleotide polymorphism (SNP) and monounsaturated (MUFA) intake on insulin resistance, no interventional study has analyzed gene-diet interactions on T2D or CVD outcomes. Methods We analyzed the association between theCLOCK -rs4580704 SNP and incidence of T2D and CVD longitudinally in 7098 PREDIMED trial (ISRCTN35739639) participants after a median 4.8-year follow-up. We also examined modulation by Mediterranean diet (MedDiet) intervention (high in MUFA) on these associations. Results We observed a significant association between theCLOCK -rs4580704 SNP and T2D incidence in n = 3671 non-T2D PREDIMED participants, with variant allele (G) carriers showing decreased incidence (dominant model) compared with CC homozygotes (HR: 0.69; 95 % CI 0.54–0.87; P = 0.002). This protection was more significant in the MedDiet intervention group (HR: 0.58; 95 % CI 0.43–0.78; P < 0.001) than in the control group (HR: 0.95; 95 % CI 0.63–1.44; P = 0.818). Moreover, we detected a statistically significant interaction (P = 0.018) betweenCLOCK -rs4580704 SNP and T2D status on stroke. Thus, only in T2D subjects wasCLOCK -rs4580704 SNP associated with stroke risk, G-carriers having decreased risk (HR: 0.61; 95 % CI 0.40–0.94; P = 0.024 versus CC) in the multivariable-adjusted model. Conclusions In agreement with our previous results showing a protective effect of the G-allele against hyperglycemia, we extended our findings by reporting a novel association with lower T2D incidence and also suggesting a dietary modulation. Moreover, we report for the first time an association between aCLOCK polymorphism and stroke in T2D subjects, suggesting that core clock genes may significantly contribute to increased CVD risk in T2D. … (more)
- Is Part Of:
- Cardiovascular diabetology. Volume 15:Issue 1(2016)
- Journal:
- Cardiovascular diabetology
- Issue:
- Volume 15:Issue 1(2016)
- Issue Display:
- Volume 15, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 15
- Issue:
- 1
- Issue Sort Value:
- 2016-0015-0001-0000
- Page Start:
- 1
- Page End:
- 12
- Publication Date:
- 2016-12
- Subjects:
- CLOCK gene -- Diabetes -- Cardiovascular diseases -- Stroke -- Mediterranean diet
Diabetes -- Complications -- Periodicals
Cardiovascular system -- Diseases -- Complications -- Periodicals
Cardiovascular system -- Diseases -- Prevention -- Periodicals
616.462 - Journal URLs:
- http://www.biomedcentral.com/1475-2840 ↗
http://www.cardiab.com/ ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=107 ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s12933-015-0327-8 ↗
- Languages:
- English
- ISSNs:
- 1475-2840
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9998.xml