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Attention Score in Context
| Title |
Genetic variations of cholesteryl ester transfer protein and diet interactions in relation to lipid profiles and coronary heart disease: a systematic review
|
|---|---|
| Published in |
Nutrition & Metabolism, December 2017
|
| DOI | 10.1186/s12986-017-0231-1 |
| Pubmed ID | |
| Authors |
Parvin Mirmiran, Zohre Esfandiar, Firoozeh Hosseini-Esfahani, Gelareh Koochakpoor, Maryam S. Daneshpour, Bahar Sedaghati-Khayat, Fereidoun Azizi |
| Abstract |
Data on diet-genotype interactions in the prevention or treatment of dyslipidemia have increased remarkably. This systematic review aimed to assess nutrigenetic studies regarding the modulating effect of diet on cholesteryl ester transfer protein (CETP) polymorphisms in relation to metabolic traits. Data were collected through studies published between 2000 and SEP. 2016 using five electronic databases. The quality of eligible studies was assessed using a 12-item quality checklist, derived from the STrengthening the REporting of Genetic Association Studies (STREGA) statement. CETP variants that had associations with lipid profiles in previous studies were extracted for drawing of the linkage disequilibrium (LD) plot. Among CETP variants, the rs9989419 best represented this genome wide association signal across all populations, based on LD r2 estimates from 1000 genomes references. In the 23 found eligible studies (clinical trials and observational), the TaqIB and I405V polymorphisms were the two most intensively studied. Two studies reported the effect of interaction between rs3764261 and diet on lipid levels. Regarding the rs708272 (Taq1B), individuals with the B1 risk allele showed better responses to dietary interventions than those with B2B2 genotype, whereas with I405V, inconsistent results have been reported. Modest alcohol consumption was associated with decreased risk of coronary heart disease among B2 carriers of rs708272. It is concluded that variations in the CETP gene may modulate the effects of dietary components on metabolic traits. These results have been controversial, indicating complex polygenic factors in metabolic response to diet and lack of uniformity in the study conditions and designs. |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 18% |
| Researcher | 5 | 11% |
| Student > Ph. D. Student | 3 | 7% |
| Lecturer | 2 | 4% |
| Professor | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 20 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 24% |
| Agricultural and Biological Sciences | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Nursing and Health Professions | 2 | 4% |
| Sports and Recreations | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 24 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 December 2017.
All research outputs
#20,459,801
of 23,016,919 outputs
Outputs from Nutrition & Metabolism
#853
of 950 outputs
Outputs of similar age
#375,003
of 439,773 outputs
Outputs of similar age from Nutrition & Metabolism
#14
of 16 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 950 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 1st percentile – i.e., 1% 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 439,773 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.