A circadian rhythm-related MTNR1B genetic variant modulates the effect of weight-loss diets on changes in adiposity and body composition: the ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-03-07

AUTHORS

Leticia Goni, Dianjianyi Sun, Yoriko Heianza, Tiange Wang, Tao Huang, J. Alfredo Martínez, Xiaoyun Shang, George A. Bray, Steven R. Smith, Frank M. Sacks, Lu Qi

ABSTRACT

PURPOSE: A common variant of the melatonin receptor 1B (MTNR1B) gene has been related to increased signaling of melatonin, a hormone previously associated with body fatness mainly through effects on energy metabolism. We examined whether the MTNR1B variant affects changes of body fatness and composition in response to a dietary weight loss intervention. METHODS: The MTNR1B rs10830963 variant was genotyped for 722 overweight and obese individuals, who were randomly assigned to one of four diets varying in macronutrient composition. Anthropometric and body composition measurements (DXA scan) were collected at baseline and at 6 and 24 months of follow-up. RESULTS: Statistically significant interactions were observed between the MTNR1B genotype and low-/high-fat diet on changes in weight, body mass index (BMI), waist circumference (WC) and total body fat (p interaction = 0.01, 0.02, 0.002 and 0.04, respectively), at 6 months of dietary intervention. In the low-fat diet group, increasing number of the sleep disruption-related G allele was significantly associated with a decrease in weight (p = 0.004), BMI (p = 0.005) and WC (p = 0.001). In the high-fat diet group, carrying the G allele was positively associated with changes in body fat (p = 0.03). At 2 years, the associations remained statistically significant for changes in body weight (p = 0.02), BMI (p = 0.02) and WC (p = 0.048) in the low-fat diet group, although the gene-diet interaction became less significant. CONCLUSIONS: The results suggest that carriers of the G allele of the MTNR1B rs10830963 may have a greater improvement in body adiposity and fat distribution when eating a low-fat diet. More... »

PAGES

1-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00394-018-1660-y

DOI

http://dx.doi.org/10.1007/s00394-018-1660-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101376210

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29516223


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Download the RDF metadata as:  json-ld nt turtle xml License info

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00394-018-1660-y'


 

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292 schema:name Department of Nutrition, Food Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Navarra, Spain
293 Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, Pamplona, Navarra, Spain
294 rdf:type schema:Organization
295 https://www.grid.ac/institutes/grid.64337.35 schema:alternateName Louisiana State University
296 schema:name Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
297 rdf:type schema:Organization
 




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