Evidence map›Paper›PMID 40720691›Full record

ReviewComprehensive Physiology2025

The Impact of Exercise Capacity on Complex Neuromuscular Adaptations: A Narrative Review Based on a Rat Model System Selectively Bred for Low and High Response to Training.

Vinicius Guzzoni, Upasana Shrestha, Nicholas J Kesler, Aditya Acharya, Samantha J McKee, Tatiana Sousa Cunha, Dulce Elena Casarini, Steven T Haller, David J Kennedy, Steven L Britton and 1 more

Abstract readReview
In one paragraph

Review in Comprehensive Physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
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

11 authors.

Vinicius GuzzoniDepartment of Medicine, School of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.ORCID 0000-0003-1024-5952
Upasana ShresthaDepartment of Medicine, The University of Toledo College of Medicine and Life Sciences, Toledo, Ohio, USA.
Nicholas J KeslerDepartment of Physiology and Pharmacology, The University of Toledo College of Medicine and Life Sciences, Toledo, Ohio, USA.
Aditya AcharyaDepartment of Medicine, The University of Toledo College of Medicine and Life Sciences, Toledo, Ohio, USA.
Samantha J McKeeDepartment of Physiology and Pharmacology, The University of Toledo College of Medicine and Life Sciences, Toledo, Ohio, USA.
Tatiana Sousa CunhaInstitute of Science and Technology, Department of Science and Technology, Federal University of São Paulo (UNIFESP), São José dos Campos, Brazil.ORCID 0000-0001-9070-1414
Dulce Elena CasariniDepartment of Medicine, Nephrology Division, School of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, São Paulo, Brazil.ORCID 0000-0003-1912-4292
Steven T HallerDepartment of Medicine, The University of Toledo College of Medicine and Life Sciences, Toledo, Ohio, USA.
David J KennedyDepartment of Medicine, The University of Toledo College of Medicine and Life Sciences, Toledo, Ohio, USA.ORCID 0000-0001-5265-0142
Steven L BrittonDepartment of Anesthesiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-6919-6342
Lauren Gerard KochDepartment of Physiology and Pharmacology, The University of Toledo College of Medicine and Life Sciences, Toledo, Ohio, USA.ORCID 0000-0002-2019-5939

Funding

The synergistic effects of climate and anthropogenic drivers on toxic cyanobacterial bloomsP01ES028939 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Gregory James Dick, David Joseph Kennedy · 2018 to 2026
$3.7M
Resource for Rat Genetic Models of Aerobic CapacityP40OD021331 · OD · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI KOCH, LAUREN GERARD · 2015 to 2019
$1.9M
Harmful Algal Bloom Research Initiative (HABRI) funded by the Ohio Department of Higher Education, the National Institutes of Health (NIH) under award number P01ES028939National Science Foundation OCE-1840715NIEHS NIH HHS P01 ES028939NIH HHS P40 OD021331
6 · The paper itself

Abstract

There is scientific evidence that supports the association between aerobic exercise capacity and the risk of developing complex metabolic diseases. The factors that determine aerobic capacity can be categorized into two groups: intrinsic and extrinsic components. While exercise capacity is influenced by both the intrinsic fitness levels of an organism and the extrinsic factors that emerge during training, physiological adaptations to exercise training can differ significantly among individuals. The interplay between intrinsic and acquired exercise capacities represents an obstacle to recognizing the exact mechanisms connecting aerobic exercise capacity and human health. Despite robust clinical associations between disease and a sedentary state or condition, the precise causative links between aerobic exercise capacity and disease susceptibility are yet to be fully uncovered. To provide clues into the intricacies of poor aerobic metabolism in an exercise-resistant phenotype, over two decades ago a novel rat model system was developed through two-way artificial selection and raised the question of whether large genetic differences in training responsiveness would bring about aberrant systemic disorders and closely regulate the risk factors in health and diseases. Genetically heterogeneous outbred (N/NIH) rats were used as a founder population to develop contrasting animal models of high versus low intrinsic running capacity (HCR vs. LCR) and high versus low responsiveness to endurance training (HRT vs. LRT). The underlying hypothesis was that variation in capacity for energy transfer is the central mechanistic determinant of the divide between complex disease and health. The use of the outbred, genetically heterogeneous rat models for exercise capacity aims to capture the genetic complexity of complex diseases and mimic the diversity of exercise traits among humans. Accumulating evidence indicates that epigenetic markers may facilitate the transmission of effects from exercise and diet to subsequent generations, implying that both exercise and diet have transgenerational effects on health and fitness. The process of selective breeding based on the acquired change in maximal running distance achieved during a treadmill-running tests before and after 8 weeks of training generated rat models of high response to training (HRT) and low response to training (LRT). In an untrained state, both LRT and HRT rats exhibit comparable levels of exercise capacity and show no major differences in cardiorespiratory fitness (maximal oxygen consumption, VO

Indexed as

Adaptation, PhysiologicalExercise ToleranceMuscle, SkeletalPhysical Conditioning, AnimalAnimalsHumansRatsaerobic exercisecentral nervous systemexercise‐resistant phenotypeintrinsic running capacityskeletal muscle

Identifiers

PMID40720691
PMCPMC12303563

What OpenQuestion holds

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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.