Evidence map›Paper›PMID 32274554›Full record

Trial reportEuropean journal of nutrition2021

Distinct genetic subtypes of adiposity and glycemic changes in response to weight-loss diet intervention: the POUNDS Lost trial.

Yuhang Chen, Tao Zhou, Dianjianyi Sun, Xiang Li, Hao Ma, Zhaoxia Liang, Yoriko Heianza, Xiaofang Pei, George A Bray, Frank M Sacks and 1 more

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in European journal of nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00072995 (Preventing Overweight Using Novel Dietary Strategies), which is not on this map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 21% 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.

NCT00072995 nacompletednot on this map

Preventing Overweight Using Novel Dietary Strategies (Pounds Lost)

TypeinterventionalSponsorBrigham and Women's HospitalRan2003 to 2007Enrolled811ConditionsCardiovascular Diseases, Heart Diseases, ObesityArmsFour Diets Differing in Macronutrient Composition, Diets Low in Saturated Fat
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
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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

11 authors at 4 institutions in 2 countries.

Yuhang ChenDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, USA.
Tao ZhouDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, USA.
Dianjianyi SunDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, USA.
Xiang LiDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, USA.
Hao MaDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, USA.
Zhaoxia LiangDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, USA.
Yoriko HeianzaDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, USA.
Xiaofang PeiDepartment of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, Sichuan, China.
George A BrayPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
Frank M SacksDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Lu QiDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, USA. lqi1@tulane.edu.ORCID http://orcid.org/0000-0002-8041-7791
Tulane University · USHarvard University · USPennington Biomedical Research Center · USSichuan 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
Nutrigenetics and Nutrigenomics for Precision Weight-Loss Diet InterventionsR01DK115679 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI Lu Qi · 2018 to 2026
$5.3M
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
Dissecting the impact of forced displacement on Type Two DiabetesR21TW010790 · FIC · LEBANESE AMERICAN UNIVERSITY · PI QI, LU, ZALLOUA, PIERRE · 2018 to 2019
$308k
ROLE OF NEUROPEPTIDES IN CORNARY VASOCONSTRICTIONF32HL007300 · NHLBI · EMORY UNIVERSITY · PI STACK, ROBERT K · 1986 to 1986
–
American Heart Association 0730094NChina Scholarship Council 201706240060FIC NIH HHS R21 TW010790NHLBI NIH HHS HL071981, HL034594, HL126024NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL071981NHLBI NIH HHS R21 HL126024NIDDK NIH HHS DK091718, DK100383, DK078616, DK115679NIDDK NIH HHS P30 DK046200NIDDK NIH HHS R01 DK078616NIDDK NIH HHS R01 DK091718NIDDK NIH HHS R01 DK100383NIDDK NIH HHS R01 DK115679NIDDK NIH HHS U01 DK078616NIDDK NIH HHS UM1 DK078616United States - Israel Binational Science Foundation 2011036
6 · The paper itself

Abstract

purposeObesity is a heterogeneous condition and distinct adiposity subtypes may differentially affect type 2 diabetes risk. We assessed relations between genetically determined subtypes of adiposity and changes in glycemic traits in a dietary intervention trial.

methodsThe four genetic subtypes of adiposity including waist-hip ratio-increase only (WHRonly+), body mass index-increase only (BMIonly+), WHR-increase and BMI-increase (BMI+WHR+), and WHR-decrease and BMI-increase (BMI+WHR-) were assessed by polygenetic scores (PGSs), calculated based on 159 single nucleotide polymorphisms related to BMI and/or WHR. We examined the associations between the four PGSs and changes in fasting glucose, insulin, β-cell function (HOMA-B) and insulin resistance (HOMA-IR) in 692 overweight participants (84% white Americans) who were randomly assigned to one of four weight-loss diets in a 2-year intervention trial.

resultsHigher BMI+WHR-PGS was associated with a greater decrease in 2-year changes in waist circumference in white participants (P = 0.002). We also found significant interactions between WHRonly+PGS and dietary protein in 2-year changes in fasting glucose and HOMA-B (P = 0.0007 and < 0.0001, respectively). When consuming an average-protein diet, participants with higher WHRonly+PGS showed less increased fasting glucose (β = - 0.46, P = 0.006) and less reduction in HOMA-B (β = 0.02, P = 0.005) compared with lower WHRonly+PGS. Conversely, eating high-protein diet was associated with less decreased HOMA-B among individuals with lower than higher WHRonly+PGS (β = - 0.02, P = 0.006).

conclusionsDistinct genetically determined adiposity subtypes may differentially modify the effects of weight-loss diets on improving glucose metabolism in white Americans. This trial was registered at clinicaltrials.gov as NCT00072995.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceAdiposityBody Mass IndexDiet, ReducingHumansObesityWeight LossAdiposity subtypesBody mass indexGene–diet interactionGlycemic traitsPolygenetic scoreWaist–hip ratio

Identifiers

PMID32274554
PMCPMC7959583
OpenAlexW3015811582

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Registered trials

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.