Evidence map›Paper›PMID 37661925›Full record

ArticlePhysiological genomics2023

Omics-driven investigation of the biology underlying intrinsic submaximal working capacity and its trainability.

Monalisa Hota, Jacob L Barber, Jonathan J Ruiz-Ramie, Charles S Schwartz, Do Thuy Uyen Ha Lam, Prashant Rao, Michael Y Mi, Daniel H Katz, Jeremy M Robbins, Clary B Clish and 4 more

Abstract read
In one paragraph

Article in Physiological genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

8 citing papers in PubMed.

  1. Trial
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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

14 authors.

Monalisa HotaCentre for Computational Biology, Duke-National University of Singapore Medical School, Singapore, Singapore.
Jacob L BarberDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States.
Jonathan J Ruiz-RamieDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States.
Charles S SchwartzDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States.
Do Thuy Uyen Ha LamCentre for Computational Biology, Duke-National University of Singapore Medical School, Singapore, Singapore.ORCID 0000-0001-9308-0924
Prashant RaoDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States.
Michael Y MiDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States.ORCID 0000-0001-8031-8948
Daniel H KatzDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States.
Jeremy M RobbinsDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States.
Clary B ClishMetabolomics Platform, Broad Institute, Boston, Massachusetts, United States.ORCID 0000-0001-8259-9245
Robert E GersztenDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States.
Mark A SarzynskiDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States.ORCID 0000-0001-6705-0668
Sujoy GhoshCentre for Computational Biology, Duke-National University of Singapore Medical School, Singapore, Singapore.ORCID 0000-0002-7601-165X
Claude BouchardHuman Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States.ORCID 0000-0002-0048-491X

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI David Eugene Alexander · 2012 to 2026
$69.1M
South Carolina IDeA Networks of Biomedical Research (SC INBRE V)P20GM103499 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI EDIE C GOLDSMITH · 2012 to 2026
$61.0M
Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI COMPRETTA, CAROLINE E. · 2016 to 2025
$38.2M
A Biochemical Roadmap of Exercise Signaling - Pilot Project for MoTrPAC ConsortiumU24DK112340 · NIDDK · BROAD INSTITUTE, INC. · PI STEVEN A CARR, Clary B Clish · 2017 to 2026
$16.2M
MULTIDISCIPLINARY RESEARCH TRAINING IN CARDIOLOGYT32HL007208 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Patrick Thomas Ellinor, David E Sosnovik · 1985 to 2026
$16.1M
Metabolomic predictors of insulin resistance and diabetesR01DK081572 · NIDDK · VANDERBILT UNIVERSITY · PI CLISH, CLARY B, GERSZTEN, ROBERT E · 2008 to 2025
$9.3M
Mentoring Obesity and Diabetes Research in LouisianaP20GM103528 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI GETTYS, THOMAS W · 2012 to 2015
$8.8M
HERITAGE STUDY: GENETICS, EXERCISE &RISK FACTORSR01HL045670 · NHLBI · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI RANKINEN, TUOMO · 1992 to 2010
$6.8M
Transgenics CoreP30GM118430 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI MYNATT, RANDALL LEE · 2016 to 2020
$5.8M
Multidisciplinary Training Program in Cardiovascular EpidemiologyT32HL125232 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Matthew G. Nayor, Vanessa Xanthakis · 2016 to 2026
$5.0M
Molecular Basis of Exercise-induced Changes in HDL FunctionR01HL146462 · NHLBI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI SARZYNSKI, MARK ANDREW · 2019 to 2023
$3.6M
Ensuring the cultural relevance of Dietary Guidelines diet patterns among African Americans: Increasing dietary quality and reducing type 2 diabetes riskR01DK128057 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI TURNER-MCGRIEVY, GABRIELLE MICHELLE · 2021 to 2025
$3.4M
NHLBI NIH HHS K23 HL150327NHLBI NIH HHS K23 HL164980NHLBI NIH HHS R01 HL045670NHLBI NIH HHS R01 HL047317NHLBI NIH HHS R01 HL047323NHLBI NIH HHS R01 HL047327NHLBI NIH HHS R01 HL146462NHLBI NIH HHS T32 HL007208NHLBI NIH HHS T32 HL125232NIDDK NIH HHS R01 DK081572NIDDK NIH HHS R01 DK128057NIDDK NIH HHS U24 DK112340NIGMS NIH HHS P20 GM103499NIGMS NIH HHS P20 GM103528NIGMS NIH HHS P30 GM118430NIGMS NIH HHS U54 GM104940NIGMS NIH HHS U54 GM115428NINR NIH HHS R01 NR019628
6 · The paper itself

Abstract

Submaximal exercise capacity is an indicator of cardiorespiratory fitness with clinical and public health implications. Submaximal exercise capacity and its response to exercise programs are characterized by heritability levels of about 40%. Using physical working capacity (power output) at a heart rate of 150 beats/min (PWC150) as an indicator of submaximal exercise capacity in subjects of the HERITAGE Family Study, we have undertaken multi-omics and in silico explorations of the underlying biology of PWC150 and its response to 20 wk of endurance training. Our goal was to illuminate the biological processes and identify panels of genes associated with human variability in intrinsic PWC150 (iPWC150) and its trainability (dPWC150). Our bioinformatics approach was based on a combination of genome-wide association, skeletal muscle gene expression, and plasma proteomics and metabolomics experiments. Genes, proteins, and metabolites showing significant associations with iPWC150 or dPWC150 were further queried for the enrichment of biological pathways. We compared genotype-phenotype associations of emerging candidate genes with reported functional consequences of gene knockouts in mouse models. We investigated the associations between DNA variants and multiple muscle and cardiovascular phenotypes measured in HERITAGE subjects. Two panels of prioritized genes of biological relevance to iPWC150 (13 genes) and dPWC150 (6 genes) were identified, supporting the hypothesis that genes and pathways associated with iPWC150 are different from those underlying dPWC150. Finally, the functions of these genes and pathways suggested that human variation in submaximal exercise capacity is mainly driven by skeletal muscle morphology and metabolism and red blood cell oxygen-carrying capacity.

Indexed as

ExerciseGenome-Wide Association StudyAnimalsBiologyGenomeHumansMiceOxygen ConsumptionPhenotypePhysical Endurancecardiorespiratory fitnessgenomicsmetabolomicsproteomicstranscriptomics

Identifiers

PMID37661925
PMCPMC11178266

What Socratic holds

Textmetadata
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 Socratic graph.