Evidence map›Paper›PMID 35068187›Full record

ArticleAmerican journal of physiology. Endocrinology and metabolism2022

Skeletal muscle transcriptome response to a bout of endurance exercise in physically active and sedentary older adults.

Aliza B Rubenstein, J Matthew Hinkley, Venugopalan D Nair, German Nudelman, Robert A Standley, Fanchao Yi, GongXin Yu, Todd A Trappe, Marcas M Bamman, Scott W Trappe and 6 more

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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  12. Frailty in Pulmonary Hypertension: A Multidimensional Comorbidity.Annals of the American Thoracic Society · 2025
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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

16 authors at 4 institutions in 1 country.

Aliza B RubensteinDepartment of Neurology, Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York.
J Matthew HinkleyAdventHealth Translational Research Institute, Orlando, Florida.
Venugopalan D NairDepartment of Neurology, Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York.
German NudelmanDepartment of Neurology, Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York.
Robert A StandleyAdventHealth Translational Research Institute, Orlando, Florida.
Fanchao YiAdventHealth Translational Research Institute, Orlando, Florida.
GongXin YuAdventHealth Translational Research Institute, Orlando, Florida.
Todd A TrappeHuman Performance Laboratory, Ball State University, Indianapolis, Indiana.
Marcas M BammanDepartment of Cell, Developmental, and Integrative Biology, UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-5017-5453
Scott W TrappeHuman Performance Laboratory, Ball State University, Indianapolis, Indiana.ORCID 0000-0002-6438-431X
Lauren M SparksAdventHealth Translational Research Institute, Orlando, Florida.
Bret H GoodpasterAdventHealth Translational Research Institute, Orlando, Florida.
Rick B VegaAdventHealth Translational Research Institute, Orlando, Florida.
Stuart C SealfonDepartment of Neurology, Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York.
Elena ZaslavskyDepartment of Neurology, Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York.
Paul M CoenAdventHealth Translational Research Institute, Orlando, Florida.ORCID 0000-0002-2805-2115
Translational Research Institute for Metabolism and Diabetes · USIcahn School of Medicine at Mount Sinai · USBall State University · USUniversity of Alabama at Birmingham · US

Funding

Skeletal Muscle Health with Aging and Life-Long ExerciseR01AG038576 · NIA · BALL STATE UNIVERSITY · PI TRAPPE, SCOTT · 2011 to 2015
$1.7M
Ceramide Mediated Oxidative Stress in Muscle Loss with Aging and DisuseK01AG044437 · NIA · ADVENTHEALTH ORLANDO · PI COEN, PAUL MARTIN · 2013 to 2016
$508k
NIA NIH HHS K01 AG044437NIA NIH HHS R01 AG038576
6 · The paper itself

Abstract

Age-related declines in cardiorespiratory fitness and physical function are mitigated by regular endurance exercise in older adults. This may be due, in part, to changes in the transcriptional program of skeletal muscle following repeated bouts of exercise. However, the impact of chronic exercise training on the transcriptional response to an acute bout of endurance exercise has not been clearly determined. Here, we characterized baseline differences in muscle transcriptome and exercise-induced response in older adults who were active/endurance trained or sedentary. RNA-sequencing was performed on vastus lateralis biopsy specimens obtained before, immediately after, and 3 h following a bout of endurance exercise (40 min of cycling at 60%-70% of heart rate reserve). Using a recently developed bioinformatics approach, we found that transcript signatures related to type I myofibers, mitochondria, and endothelial cells were higher in active/endurance-trained adults and were associated with key phenotypic features including V̇o

Indexed as

Physical EnduranceTranscriptomeAgedEndothelial CellsExerciseHumansMuscle, Skeletalcardiorespiratory fitnessendothelial cellmitochondriaRNA-seq

Identifiers

PMID35068187
PMCPMC8897039
OpenAlexW4206981306

What OpenQuestion 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 OpenQuestion graph.