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C677T gene polymorphism of MTHFR and metabolic syndrome: response to dietary intervention

Overview of attention for article published in Journal of Translational Medicine, November 2014
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
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Title
C677T gene polymorphism of MTHFR and metabolic syndrome: response to dietary intervention
Published in
Journal of Translational Medicine, November 2014
DOI 10.1186/s12967-014-0329-4
Pubmed ID
Authors

Laura Di Renzo, Luigi Tonino Marsella, Francesca Sarlo, Laura Soldati, Santo Gratteri, Ludovico Abenavoli, Antonino De Lorenzo

Abstract

BackgroundMethylenetetrahydrofolate reductase (MTHFR) gene polymorphisms were found associated with body mass index (BMI)-defined obesity and lean mass.The aim of our study was to examine the role of the C677T MTHFR gene polymorphism in the response to diet in the management of metabolic syndrome. We investigated the body composition and metabolic factor changes after an hysocaloric balanced diet (HBD), in Italian obese women affected by metabolic syndrome (MS).MethodsForty four obese women affected by MS were eligible for the study. A HBD for 12 weeks was assigned. Study participation included a complete screening for dietary habits, anthropometry, body composition, blood biochemical markers and C677T MTHFR polymorphism genotyping. The study has been registrated by ClinicalTrials.gov Id: NCT01890070.ResultsThe highest number of responders to HBD nutritional intervention were T(¿) carriers (p¿¿¿0.05). In the 81% of the total population a loss of Total Body Lean was observed. A significative loss (p¿¿¿0.05) of Total Body Lean was observed in the 47% of T(¿) carriers and in the 53% of T(+) carriers. Diastolic and systolic blood pressure, and waist circumference were reduced (p¿¿¿0.05). The prevalence of MS parameters decreased by 84% for systolic and diastolic blood pressure; 79,5% for HDL cholesterol, 82% for fasting glucose and 77% for triglycerides.ConclusionsMTHFR genetic variations analysis would be an innovative tool for the nutritional assessment. Our data provide the basis for personalized dietary recommendations based on the individual¿s genetic makeup and nutritional status.Trial registrationThe study has been registrated by ClinicalTrials.gov Id: NCT01890070.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 22%
Student > Ph. D. Student 13 20%
Student > Bachelor 11 17%
Researcher 8 13%
Student > Postgraduate 3 5%
Other 8 13%
Unknown 7 11%
Readers by discipline Count As %
Medicine and Dentistry 17 27%
Nursing and Health Professions 11 17%
Biochemistry, Genetics and Molecular Biology 11 17%
Agricultural and Biological Sciences 6 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 6 9%
Unknown 11 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 April 2015.
All research outputs
#6,146,194
of 10,768,289 outputs
Outputs from Journal of Translational Medicine
#1,143
of 2,161 outputs
Outputs of similar age
#114,333
of 249,381 outputs
Outputs of similar age from Journal of Translational Medicine
#40
of 72 outputs
Altmetric has tracked 10,768,289 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,161 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 249,381 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.