Evidence map›Paper›PMID 24675006›Full record

ArticleNutrition, metabolism, and cardiovascular diseases : NMCD2014

PPARα gene polymorphisms modulate the association between physical activity and cardiometabolic risk.

I Halder, J Champlin, L Sheu, B H Goodpaster, S B Manuck, R E Ferrell, M F Muldoon

Abstract read
In one paragraph

Article in Nutrition, metabolism, and cardiovascular diseases : NMCD, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Advances in exercise, fitness, and performance genomics in 2014.Medicine and science in sports and exercise · 2015
    Review
  4. Article
  5. 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

7 authors at 1 institution in 1 country.

I HalderHeart and Vascular Institute, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: halderi@upmc.edu.
J ChamplinHeart and Vascular Institute, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
L SheuDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
B H GoodpasterHeart and Vascular Institute, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
S B ManuckDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
R E FerrellDepartment of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA.
M F MuldoonHeart and Vascular Institute, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
University of Pittsburgh · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Substrates of Threat and Reward Sensitivity and CVD RiskP01HL040962 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ERICKSON, KIRK I · 1988 to 2022
$31.1M
SKELETAL MUSCLE FREE FATTY ACID UPTAKE AND OXIDATION IN OBESITYP30DK046204 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JAKICIC, JOHN M · 1992 to 2009
$7.9M
Biobehavioral Genetics of CVD RiskR00HL094767 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HALDER, INDRANI · 2011 to 2013
$734k
Distress, Fish Oil, Inflammation, and Heart DiseaseR21HL081282 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MULDOON, MATTHEW F · 2005 to 2006
$220k
NCATS NIH HHS UL1 TR000005NHLBI NIH HHS P01 HL040962NHLBI NIH HHS P01 HL40962NHLBI NIH HHS R00 HL094767NHLBI NIH HHS R21 HL081282NIDDK NIH HHS DK046204NIDDK NIH HHS P30 DK046204
6 · The paper itself

Abstract

BACKGROUND AND

aimsHabitual physical activity is understood to help prevent type 2 diabetes and atherosclerotic cardiovascular disease via beneficial effects on both metabolism and the vascular system. However, individuals do not have uniform cardiometabolic responses to physical activity. Here we explore the extent to which variation in the proliferator-activated receptor-alpha (PPARα) gene, which modulates carbohydrate and lipid metabolism, vascular function, and inflammation, predicts the overall cardiometabolic risk (CMR) profile of individuals engaging in various levels of physical activity. METHODS AND

results917 unrelated, community volunteers (52% female, of Non-Hispanic European ancestry) aged 30-54 years, participated in the cross-sectional study. Subjects were genotyped for 5 single nucleotide polymorphisms in the PPARα gene, from which common haplotypes were defined. A continuous measure of CMR was calculated as an aggregate of 5 traditional risk factors: waist circumference, resting blood pressure, fasting serum triglycerides, HDL-cholesterol and glucose. Regression models were used to examine the main and interactive effects of physical activity and genetic variation on CMR. One common PPARα haplotype (H-23) was associated with a higher CMR. This association was moderated by daily physical activity (B = -0.11, SE = 0.053, t = -2.05, P = 0.04). Increased physical activity was associated with a steeper reduction of CMR in persons carrying the otherwise detrimental H-23 haplotype.

conclusionsVariations in the PPARα gene appear to magnify the cardiometabolic benefits of habitual physical activity.

Indexed as

Motor ActivityPolymorphism, Single NucleotideAdultCardiovascular DiseasesCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHaplotypesHumansMaleMiddle AgedPPAR alphaRisk FactorsWaist CircumferencePPAR alphaCardiometabolic riskGene-by-physical activity interactionMetabolic syndromePhysical activity

Identifiers

PMID24675006
PMCPMC4050124
OpenAlexW1974708876

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.