Evidence map›Paper›PMID 40310284›Full record

Trial reportObesity (Silver Spring, Md.)2025

Differential weight-loss responses of APOA2 genotype carriers to low-carbohydrate and low-fat diets: the DIETFITS trial.

Chao-Qiang Lai, Laurence D Parnell, Sai Krupa Das, Christopher D Gardner, José M Ordovás

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Obesity (Silver Spring, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01826591 (Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.

NCT01826591 nacompletednot on this map

Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?

TypeinterventionalSponsorStanford UniversityRan2013 to 2016Enrolled609ConditionsObesity, Insulin ResistanceArmsLow-Carbohydrate Diet, Low-Fat Diet, Mobile App
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Chao-Qiang LaiUS Department of Agriculture Agricultural Research Service, Precision Nutrition Team, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-1107-8375
Laurence D ParnellUS Department of Agriculture Agricultural Research Service, Precision Nutrition Team, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA.
Sai Krupa DasPrecision Nutrition Team, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-0788-0461
Christopher D GardnerStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, California, USA.
José M OrdovásPrecision Nutrition Team, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA.

Funding

CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
A Stanford - SJSU Postdoctoral Training Program to Enhance URM TeachingK12GM088033 · NIGMS · STANFORD UNIVERSITY · PI BOOTHROYD, JOHN C · 2010 to 2016
$4.1M
Do Genotype Patterns Predict Weight Loss Success for Low Carb vs. Low Fat Diets?R01DK091831 · NIDDK · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 2012 to 2016
$3.1M
NHLBI NIH HHS 1K12GM088033NHLBI NIH HHS T32 HL007034NIDDK NIH HHS 1R01DK091831NIDDK NIH HHS R01 DK091831NIGMS NIH HHS K12 GM088033Nutrition Science Initiative (NuSI)U.S. Department of Agriculture 8050-51000-107-00D
6 · The paper itself

Abstract

objectiveThis study aimed to determine whether APOA2 genotypes and saturated fatty acid (SAT) intake affect weight-loss response to healthy low-carbohydrate (HLC) and healthy low-fat (HLF) diets.

methodsThis is a secondary analysis of the Diet Intervention Examining The Factors Interacting with Treatment Success (DIETFITS) study, a 12-month randomized clinical trial of HLC or HLF diets in 609 adults aged 18 to 50 years with BMI values between 28 and 40 kg/m

resultsParticipants with the TT APOA2 genotype lost significantly more weight consistently on an HLC diet than on an HLF diet at 3, 6, and 12 months, whereas C allele carriers lost more weight only at 3 months and not at 6 or 12 months. APOA2 genotype-by-SAT intake interaction affecting weight loss was observed only at 12 months. Among participants who did not consistently meet the SAT intake criterion, there were no significant weight-loss differences among APOA2 genotypes.

conclusionsThis study highlights the importance of evaluating genotype-diet interactions in weight-loss trials to better inform precision nutrition interventions. CLINICAL

trial registrationNCT01826591.

Indexed as

Apolipoprotein A-IIDiet, Carbohydrate-RestrictedDiet, Fat-RestrictedObesityWeight LossAdolescentAdultAllelesBody Mass IndexFemaleGenotypeHumansMaleMiddle AgedYoung AdultAPOA2 protein, humanApolipoprotein A-II

Identifiers

PMID40310284
PMCPMC12276828

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.