Evidence map›Paper›PMID 27113490›Full record

Trial reportInternational journal of obesity (2005)2016

Genetic variation of fasting glucose and changes in glycemia in response to 2-year weight-loss diet intervention: the POUNDS LOST trial.

T Wang, T Huang, Y Zheng, J Rood, G A Bray, F M Sacks, L Qi

Open access · greenAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in International journal of obesity (2005), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  16. Gene-Diet Interaction and Precision Nutrition in Obesity.International journal of molecular sciences · 2017
    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 5 institutions in 2 countries.

T WangDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
T HuangDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Y ZhengDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
J RoodPennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA, USA.
G A BrayPennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA, USA.
F M SacksDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
L QiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Harvard University · USBrigham and Women's Hospital · USLouisiana State University System · USPennington Biomedical Research Center · USShanghai Jiao Tong University · CN

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI GREENBERG, ANDREW S, PERISSI, VALENTINA · 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
Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
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
TOPMed Omics of Type 2 Diabetes and Quantitative TraitsUM1DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MANNING, ALISA KNODLE · 2021 to 2025
$3.8M
Rare Sequence Variation and Diabetes Quantitative TraitsU01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2015 to 2019
$3.6M
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 R01 HL034594NHLBI NIH HHS R01 HL071981NHLBI NIH HHS R21 HL126024NIDDK NIH HHS P30 DK046200NIDDK NIH HHS R01 DK078616NIDDK NIH HHS R01 DK091718NIDDK NIH HHS R01 DK100383NIDDK NIH HHS U01 DK078616NIDDK NIH HHS UM1 DK078616
6 · The paper itself

Abstract

objectiveWeight-loss intervention through diet modification has been widely used to improve obesity-related hyperglycemia; however, little is known about whether genetic variation modifies the intervention effect. We examined the interaction between weight-loss diets and genetic variation of fasting glucose on changes in glycemic traits in a dietary intervention trial. RESEARCH DESIGN AND

methodsThe Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial is a randomized, controlled 2-year weight-loss trial. We assessed overall genetic variation of fasting glucose by calculating a genetic risk score (GRS) based on 14 fasting glucose-associated single nucleotide polymorphisms, and examined the progression in fasting glucose and insulin levels, and insulin resistance and insulin sensitivity in 733 adults from this trial.

resultsThe GRS was associated with 6-month changes in fasting glucose (P<0.001), fasting insulin (P=0.042), homeostasis model assessment of insulin resistance (HOMA-IR, P=0.009) and insulin sensitivity (HOMA-S, P=0.043). We observed significant interaction between the GRS and dietary fat on 6-month changes in fasting glucose, HOMA-IR and HOMA-S after multivariable adjustment (P-interaction=0.007, 0.045 and 0.028, respectively). After further adjustment for weight loss, the interaction remained significant on change in fasting glucose (P=0.015). In the high-fat diet group, participants in the highest GRS tertile showed increased fasting glucose, whereas participants in the lowest tertile showed decreased fasting glucose (P-trend <0.001); in contrast, the genetic association was not significant in the low-fat diet group (P-trend=0.087).

conclusionsOur data suggest that participants with a higher genetic risk may benefit more by eating a low-fat diet to improve glucose metabolism.

Indexed as

Diet, ReducingGenetic VariationAdultAgedBlood GlucoseFastingFemaleGlycated HemoglobinGlycemic IndexHumansInsulinInsulin ResistanceMaleMiddle AgedObesityPolymorphism, Single NucleotideBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanInsulin

Identifiers

PMID27113490
PMCPMC4935586
OpenAlexW2329047482

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.