Evidence map›Paper›PMID 21386805›Full record

ArticleInternational journal of obesity (2005)2012

Apolipoprotein A-II polymorphism: relationships to behavioural and hormonal mediators of obesity.

C E Smith, J M Ordovás, C Sánchez-Moreno, Y-C Lee, M Garaulet

2 registry-linked trialsOpen access · bronzeAbstract readMulticenter Study
In one paragraph

Article in International journal of obesity (2005), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 27% 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.

NCT02829619 recruitingnot on this map

Meal Timing, Genetics and Weight Loss in a Mediterranean Population

TypeobservationalSponsorUniversidad de MurciaRan2008 to 2032Enrolled5,788ConditionsObesity
NCT03452787 completednot on this mapstarted 2017, after this paper: background citation

Meta Analysis of Epigenomic and Metabolomic Signatures of APOA2 Gene by Saturated Fat

TypeobservationalSponsorTufts UniversityRan2017 to 2017Enrolled602ConditionsBody Mass IndexArmsNone, cohort studies
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Genotype-informed nutrition counselling in clinical practice.BMJ nutrition, prevention & health · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. The importance of gene-environment interactions in human obesity.Clinical science (London, England : 1979) · 2016
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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 at 3 institutions in 2 countries.

C E SmithJean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University School of Medicine, Boston, MA, USA.
J M Ordovás
C Sánchez-Moreno
Y-C Lee
M Garaulet
Jean Mayer Human Nutrition Research Center on Aging · USUniversidad de Murcia · ESTufts University · US

Funding

Center for Research/Nutrition &Health among the ElderlyP01AG023394 · NIA · TUFTS UNIVERSITY BOSTON · PI TUCKER, KATHERINE L · 2003 to 2007
$8.1M
GENE/DIET EFFECTS ON PLASMA LIPOPROTEIN LEVELSR01HL054776 · NHLBI · TUFTS UNIVERSITY BOSTON · PI ORDOVAS, JOSE M. · 1996 to 2010
$2.6M
PAT PROTEINS: GENE-DIET INTERACTIONS OBESITY RISK AND HEALTHR01DK075030 · NIDDK · TUFTS UNIVERSITY BOSTON · PI ORDOVAS, JOSE M. · 2007 to 2009
$989k
NHLBI NIH HHS HL54776NHLBI NIH HHS R01 HL054776NIA NIH HHS 5P01AG023394-02NIA NIH HHS P01 AG023394NIDDK NIH HHS R01 DK075030NIMHD NIH HHS L60 MD003562PHS HHS K075030
6 · The paper itself

Abstract

backgroundThe interaction between apolipoprotein A-II (APOA2) m265 genotype and saturated fat for obesity traits has been more extensively demonstrated than for any other locus, but behavioural and hormonal mechanisms underlying this relationship are unexplored. In this study, we evaluated relationships between APOA2 and obesity risk with particular focus on patterns of eating and ghrelin, a hormonal regulator of food intake.

designCross-sectional study. SUBJECTS: Overweight and obese subjects (n=1225) were evaluated at baseline in five weight loss clinics in southeastern Spain.

methodsBehavioural data were assessed using a checklist of weight loss obstacles. Logistic regression models were fitted to estimate the risk of a specific behaviour associated with APOA2 genotype. Relationships between APOA2 genotype and saturated fat intakes for anthropometric traits and plasma ghrelin were evaluated by analysis of variance. To construct categorical variables to evaluate interactions, saturated fat intake was dichotomized into high and low according to the population median intake or as tertiles.

resultsHomozygous minor (CC) subjects were more likely to exhibit behaviours that impede weight loss ('Do you skip meals', odds ratio (OR)=2.09, P=0.008) and less likely to exhibit the protective behaviour of 'Do you plan meals in advance' (OR=0.64, P=0.034). Plasma ghrelin for CC subjects consuming low saturated fat was lower compared with (1) CC subjects consuming high saturated fat, (2) TT+TC carriers consuming low saturated fat and (3) TT+TC carriers consuming high saturated fat (all P<0.05).

conclusionsAPOA2 m265 genotype may be associated with eating behaviours and dietary modulation of plasma ghrelin. Expansion of knowledge of APOA2 and obesity to include modulation of specific behaviours and hormonal mediators not only broadens understanding of gene-diet interactions, but also facilitates the pragmatic, future goal of developing dietary guidelines based on genotype.

Indexed as

Feeding BehaviorAdultAnalysis of VarianceApolipoprotein A-IIBody Mass IndexCross-Sectional StudiesDietary FatsDiet RecordsEatingFemaleGenotypeGhrelinHumansLeptinLogistic ModelsMaleApolipoprotein A-IIDietary FatsGhrelinLeptin

Identifiers

PMID21386805
PMCPMC3146593
OpenAlexW1968146013

What OpenQuestion 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 OpenQuestion graph.