Literature DB >> 24328727

Beneficial effect of CLOCK gene polymorphism rs1801260 in combination with low-fat diet on insulin metabolism in the patients with metabolic syndrome.

Antonio Garcia-Rios1, Francisco Jesus Gomez-Delgado, Marta Garaulet, Juan Francisco Alcala-Diaz, Francisco Javier Delgado-Lista, Carmen Marin, Oriol Alberto Rangel-Zuñiga, Fernando Rodriguez-Cantalejo, Purificacion Gomez-Luna, Jose Maria Ordovas, Francisco Perez-Jimenez, Jose Lopez-Miranda, Pablo Perez-Martinez.   

Abstract

Genetic variation at the Circadian Locomotor Output Cycles Kaput (CLOCK) locus has been associated with lifestyle-related conditions such as obesity, metabolic syndrome (MetS) and cardiovascular diseases. In fact, it has been suggested that the disruption of the circadian system may play a causal role in manifestations of MetS. The aim of this research was to find out whether habitual consumption of a low-fat diet, compared with a Mediterranean diet enriched with olive oil, modulates the associations between common CLOCK single nucleotide polymorphisms (SNPs) (rs1801260, rs3749474 and rs4580704) and lipid and glucose-related traits among MetS patients. Plasma lipid and insulin concentrations, indexes related with insulin resistance (homeostasis model assessment of insulin resistance (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI)) and CLOCK SNPs were determined in 475 MetS subjects participating in the CORDIOPREV clinical trial (NCT00924937). Gene-diet interactions were analyzed after a year of dietary intervention (Mediterranean diet (35% fat, 22% monounsaturated fatty acids (MUFA)) versus low-fat diet (28% fat, 12% MUFA)). We found significant gene-diet interactions between rs1801260 SNP and the dietary pattern for insulin concentrations (p = 0.009), HOMA-IR (p = 0.014) and QUICKI (p = 0.028). Specifically, after 12 months of low-fat intervention, subjects who were homozygous for the major allele (TT) displayed lower plasma insulin concentrations (p = 0.032), lower insulin resistance (HOMA-IR; p = 0.027) and higher insulin sensitivity (QUICKI; p = 0.024) compared with carriers of the minor allele C (TC + CC). In contrast, in the Mediterranean intervention group a different trend was observed although no significant differences were found between CLOCK genotypes after 12 months of treatment. Our data support the notion that a chronic consumption of a healthy diet may play a contributing role in triggering glucose metabolism by interacting with the rs1801260 SNP at CLOCK gene locus in MetS patients. Due to the complex nature of gene-environment interactions, dietary adjustment in subjects with the MetS may require a personalized approach.

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Year:  2013        PMID: 24328727     DOI: 10.3109/07420528.2013.864300

Source DB:  PubMed          Journal:  Chronobiol Int        ISSN: 0742-0528            Impact factor:   2.877


  25 in total

1.  The insulin resistance phenotype (muscle or liver) interacts with the type of diet to determine changes in disposition index after 2 years of intervention: the CORDIOPREV-DIAB randomised clinical trial.

Authors:  Ruth Blanco-Rojo; Juan F Alcala-Diaz; Suzan Wopereis; Pablo Perez-Martinez; Gracia M Quintana-Navarro; Carmen Marin; Jose M Ordovas; Ben van Ommen; Francisco Perez-Jimenez; Javier Delgado-Lista; Jose Lopez-Miranda
Journal:  Diabetologia       Date:  2015-10-16       Impact factor: 10.122

2.  Interaction of an S100A9 gene variant with saturated fat and carbohydrates to modulate insulin resistance in 3 populations of different ancestries.

Authors:  Ruth Blanco-Rojo; Javier Delgado-Lista; Yu-Chi Lee; Chao-Qiang Lai; Pablo Perez-Martinez; Oriol Rangel-Zuñiga; Caren E Smith; Bertha Hidalgo; Juan F Alcala-Diaz; Francisco Gomez-Delgado; Laurence D Parnell; Donna K Arnett; Katherine L Tucker; Jose Lopez-Miranda; Jose M Ordovas
Journal:  Am J Clin Nutr       Date:  2016-07-20       Impact factor: 7.045

3.  CORonary Diet Intervention with Olive oil and cardiovascular PREVention study (the CORDIOPREV study): Rationale, methods, and baseline characteristics: A clinical trial comparing the efficacy of a Mediterranean diet rich in olive oil versus a low-fat diet on cardiovascular disease in coronary patients.

Authors:  Javier Delgado-Lista; Pablo Perez-Martinez; Antonio Garcia-Rios; Juan F Alcala-Diaz; Ana I Perez-Caballero; Francisco Gomez-Delgado; Francisco Fuentes; Gracia Quintana-Navarro; Fernando Lopez-Segura; Ana M Ortiz-Morales; Nieves Delgado-Casado; Elena M Yubero-Serrano; Antonio Camargo; Carmen Marin; Fernando Rodriguez-Cantalejo; Purificacion Gomez-Luna; Jose M Ordovas; Jose Lopez-Miranda; Francisco Perez-Jimenez
Journal:  Am Heart J       Date:  2016-04-27       Impact factor: 4.749

Review 4.  Association between genetic variants of the clock gene and obesity and sleep duration.

Authors:  Macarena Valladares; Ana María Obregón; Jean-Philippe Chaput
Journal:  J Physiol Biochem       Date:  2015-11-10       Impact factor: 4.158

5.  Nutritional Genomics of Cardiovascular Disease.

Authors:  V Saroja Voruganti
Journal:  Curr Genet Med Rep       Date:  2018-04-30

Review 6.  Circadian clocks and insulin resistance.

Authors:  Dirk Jan Stenvers; Frank A J L Scheer; Patrick Schrauwen; Susanne E la Fleur; Andries Kalsbeek
Journal:  Nat Rev Endocrinol       Date:  2019-02       Impact factor: 43.330

Review 7.  Circadian rhythms and the gut microbiota: from the metabolic syndrome to cancer.

Authors:  Faraz Bishehsari; Robin M Voigt; Ali Keshavarzian
Journal:  Nat Rev Endocrinol       Date:  2020-10-26       Impact factor: 47.564

8.  CLOCK Gene Variation Is Associated with the Incidence of Metabolic Syndrome Modulated by Monounsaturated Fatty Acids.

Authors:  Dayeon Shin; Kyung-Won Lee
Journal:  J Pers Med       Date:  2021-05-14

Review 9.  Circadian control of glucose metabolism.

Authors:  Andries Kalsbeek; Susanne la Fleur; Eric Fliers
Journal:  Mol Metab       Date:  2014-03-19       Impact factor: 7.422

Review 10.  Nutrition and the circadian system.

Authors:  Gregory D M Potter; Janet E Cade; Peter J Grant; Laura J Hardie
Journal:  Br J Nutr       Date:  2016-05-25       Impact factor: 3.718

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