Evidence map›Paper›PMID 25761503›Full record

Trial reportThe Journal of nutrition2015

Dietary Fat Modifies the Effects of FTO Genotype on Changes in Insulin Sensitivity.

Yan Zheng, Tao Huang, Xiaomin Zhang, Jennifer Rood, George A Bray, Frank M Sacks, Lu Qi

Abstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The Journal of nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Nutrigenetics-personalized nutrition in obesity and cardiovascular diseases.International journal of obesity supplements · 2020
    Review
  16. The Role of Nutrition in the Prevention and Intervention of Type 2 Diabetes.Frontiers in bioengineering and biotechnology · 2020
    Review
  17. Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Yan ZhengDepartment of Nutrition, Harvard School of Public Health, Boston, MA;
Tao HuangDepartment of Nutrition, Harvard School of Public Health, Boston, MA;
Xiaomin ZhangDepartment of Occupational and Environmental Health and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China;
Jennifer RoodPennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA; and.
George A BrayPennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA; and.
Frank M SacksDepartment of Nutrition, Harvard School of Public Health, Boston, MA;
Lu QiDepartment of Nutrition, Harvard School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA nhlqi@channing.harvard.edu.
Harvard University · USPennington Biomedical Research Center · USBrigham and Women's Hospital · USHuazhong University of Science and Technology · CN

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI HU, FRANK B · 1992 to 2021
$25.0M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Genetic Markers of CHD in Type 2 DiabetesR01HL071981 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI QI, LU · 2003 to 2012
$4.9M
Obesity Genes, Energy Regulation in Response to Weight-Loss DietsR01DK091718 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2012 to 2021
$4.5M
Weight-Loss Diet Intervention on Cardiometabolic Factors of Gut MicrobiotaR01DK100383 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2014 to 2024
$4.2M
Genome-wide interactions with diet patterns on long-term weight changeR21HL126024 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2015 to 2016
$421k
NHLBI NIH HHS HL034594NHLBI NIH HHS HL071981NHLBI NIH HHS HL126024NHLBI NIH HHS R21 HL126024NIDDK NIH HHS DK091718NIDDK NIH HHS DK100383NIDDK NIH HHS DK46200NIDDK NIH HHS P30 DK046200NIDDK NIH HHS R01 DK100383
6 · The paper itself

Abstract

backgroundThe common variants in the fat mass and obesity-associated (FTO) gene have been associated with obesity and insulin resistance. Recently, studies also linked FTO variants with macronutrient intakes.

objectiveWe aimed to investigate whether diet interventions varying in macronutrients modified the effects of FTO genotypes on changes in insulin resistance.

methodsWe genotyped FTO variants rs1558902 and rs9939609 and measured insulin resistance in fasting plasma samples at baseline and at 6-mo and 2-y visits in 743 overweight or obese adults (aged 30-70 y, 60% women) from a randomized weight-loss dietary interventional trial, the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial. We assessed interactions between FTO variants and intakes of dietary fat and protein in relation to change in body weight and insulin resistance using generalized estimating equation models.

resultsWe found significant interactions between rs1558902 and dietary fat on changes in homeostasis model assessment of insulin resistance (HOMA-IR) and insulin (P = 0.003 and 0.004, respectively). Each risk allele (A) of rs1558902 showed a trend to be related to a 0.05-unit less reduction in both log(insulin) and log(HOMA-IR) among the participants assigned to low-fat diets (both P = 0.06), but this was not significantly related to reduction in those assigned to high-fat diets (both P > 0.1) during the 2-y period of intervention. Our data showed that the association between rs9939609 and changes in insulin resistance was not modified by diet macronutrient intakes.

conclusionsOur results show that carriers of the risk alleles of rs1558902 benefit differently in improving insulin sensitivity by consuming high-fat weight-loss diets rather than low-fat diets. Still, given our data, we acknowledge it is difficult to determine whether fat or carbohydrate contributed to the observed associations.

Indexed as

Diet, Fat-RestrictedDiet, High-FatInsulin ResistancePolymorphism, Single NucleotideAdultAgedAlpha-Ketoglutarate-Dependent Dioxygenase FTOBody Mass IndexDietary ProteinsDiet, ReducingFemaleFollow-Up StudiesGenetic Association StudiesGenetic Predisposition to DiseaseHeterozygoteHumansAlpha-Ketoglutarate-Dependent Dioxygenase FTODietary ProteinsFTO protein, humanProteinsdiabetesdietary interventionFTOgene-diet interactioninsulin resistance

Identifiers

PMID25761503
PMCPMC4408741
OpenAlexW2145645444

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.