Literature DB >> 23289938

Genomic signatures of a global fitness index in a multi-ethnic cohort of women.

Evadnie Rampersaud1, Lubov Nathanson, Jeffrey Farmer, Karyn Meshbane, Richard L Belton, Amy Dressen, Michael Cuccaro, Anthony Musto, Sylvia Daunert, Sapna Deo, Natasha Hudson, Jeffery M Vance, David Seo, Armando Mendez, Derek M Dykxhoorn, Margaret A Pericak-Vance, Pascal J Goldschmidt-Clermont.   

Abstract

The rates of obesity and sedentary lifestyle are on a dramatic incline, with associated detrimental health effects among women in particular. Although exercise prescriptions are useful for overcoming these problems, success can be hampered by differential responsiveness among individuals in cardiovascular fitness indices (i.e. improvements in strength, lipids, VO(2) max). Genomic factors appear to play an important role in determining this inter-individual variation. We performed microarray analyses on mRNA in whole blood from 60 sedentary women from a multi-ethnic cohort who underwent 12 weeks of exercise, to identify gene subsets that were differentially expressed between individuals who experienced the greatest and least improvements in fitness. We identified 43 transcripts in 39 unique genes (FDR<10%; FC>1.5) whose expression increased the most in "high" versus "low" pre-menopausal female responders. These 39 genes were enriched in six biological pathways, including oxidative phosphorylation (p = 8.08 × 10(-3)). Several of the 39 genes (i.e. TIGD7, UQCRH, PSMA6, WDR12, TFB2M, USP15) have previously reported associations with fitness-related phenotypes. In summary, we identified gene signatures based on mRNA analysis that define responsiveness to exercise in a largely minority-based female cohort. Importantly, this study validates several genes/pathways previously associated with exercise responsiveness and extends these findings with additional novel genes.
© 2013 Blackwell Publishing Ltd/University College London.

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Year:  2013        PMID: 23289938     DOI: 10.1111/ahg.12006

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  4 in total

1.  Time trajectories in the transcriptomic response to exercise - a meta-analysis.

Authors:  David Amar; Malene E Lindholm; Jessica Norrbom; Matthew T Wheeler; Manuel A Rivas; Euan A Ashley
Journal:  Nat Commun       Date:  2021-06-09       Impact factor: 14.919

2.  Relationship of resting heart rate and physical activity with insulin sensitivity in a population-based survey.

Authors:  Andrew Grandinetti; David Mki Liu; Joseph Keawe'aimoku Kaholokula
Journal:  J Diabetes Metab Disord       Date:  2015-05-06

3.  Exercise Capacity and Response to Training Quantitative Trait Loci in a NZW X 129S1 Intercross and Combined Cross Analysis of Inbred Mouse Strains.

Authors:  Michael P Massett; Joshua J Avila; Seung Kyum Kim
Journal:  PLoS One       Date:  2015-12-28       Impact factor: 3.240

4.  Correlation of resting heart rate with anthropometric factors and serum biomarkers in a population-based study: Fasa PERSIAN cohort study.

Authors:  Yashar Goorakani; Massih Sedigh Rahimabadi; Azizallah Dehghan; Maryam Kazemi; Mahsa Rostami Chijan; Mostafa Bijani; Hadi Raeisi Shahraki; Ali Davoodi; Mojtaba Farjam; Reza Homayounfar
Journal:  BMC Cardiovasc Disord       Date:  2020-07-06       Impact factor: 2.298

  4 in total

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