Evidence map›Paper›PMID 27234805›Full record

ReviewThe Journal of physiology2017

Genomic and transcriptomic predictors of response levels to endurance exercise training.

Mark A Sarzynski, Sujoy Ghosh, Claude Bouchard

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The Journal of physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05772910 (Viability of an Educational Program for Lifestyle Changes and an Algorithm for the Derivation of Exercise Programs in Older People at Risk of Dependency at Primary Care.), which is not on this map. Cited by 64 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 7 pooled it
–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.

NCT05772910 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Viability of an Educational Program for Lifestyle Changes and an Algorithm for the Derivation of Exercise Programs in Older People at Risk of Dependency at Primary Care.

TypeinterventionalSponsorUniversity of CadizRan2024 to 2026Enrolled110ConditionsFrailty, Disability Physical, Old Age, AtrophyArmsEDUcation, EXERcise, EDU-EXER, CONtrol
3 · Its place in the literature

Who cites it

64 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  4. Standard Deviation of Individual Response for VOSports medicine (Auckland, N.Z.) · 2024
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4 more citing papers are in PubMed but not listed here.

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

3 authors.

Mark A SarzynskiDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Sujoy GhoshCardiovascular and Metabolic Disorders Program and Centre for Computational Biology, Duke-NUS Medical School, Singapore.
Claude BouchardHuman Genomics Laboratory, Pennington Biomedical Research Centre, Baton Rouge, LA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting the responsiveness to regular exercise is a topic of great relevance due to its potential role in personalized exercise medicine applications. The present review focuses on cardiorespiratory fitness (commonly measured by maximal oxygen uptake, V̇O2 max ), a trait with wide-ranging impact on health and performance indicators. Gains in V̇O2 max demonstrate large inter-individual variation even in response to standardized exercise training programmes. The estimated ΔVO2 max heritability of 47% suggests that genomic-based predictors alone are insufficient to account for the total trainability variance. Candidate gene and genome-wide linkage studies have not significantly contributed to our understanding of the molecular basis of trainability. A genome-wide association study suggested that V̇O2 max trainability is influenced by multiple genes of small effects, but these findings still await rigorous replication. Valuable evidence, however, has been obtained by combining skeletal muscle transcript abundance profiles with common DNA variants for the prediction of the V̇O2 max response to exercise training. Although the physiological determinants of V̇O2 max measured at a given time are largely enunciated, what is poorly understood are the details of tissue-specific molecular mechanisms that limit V̇O2 max and related signalling pathways in response to exercise training. Bioinformatics explorations based on thousands of variants have been used to interrogate pathways and systems instead of single variants and genes, and the main findings, along with those from exercise experimental studies, have been summarized here in a working model of V̇O2 max trainability.

Indexed as

ExercisePolymorphism, Single NucleotideTranscriptomeHumansPhysical EnduranceQuantitative Trait Loci

Identifiers

PMID27234805
PMCPMC5407970

What OpenQuestion holds

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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.