Evidence map›Paper›PMID 41940026›Full record

ArticleFrontiers in physiology2026

Cross-bridge model-based quantification of muscle metabolite alterations leading to fatigue during all-out knee extension exercise.

John I Hendry, Muhammet Enes Erol, Gwenael Layec, Edward P Debold, Anders Wallqvist, Venkat R Pannala

Abstract read
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Article in Frontiers in physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

John I HendryDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Defense Health Agency Research & Development, Medical Research and Development Command, Fort Detrick, MD, United States.
Muhammet Enes ErolDepartment of Kinesiology, University of Massachusetts, Amherst, MA, United States.
Gwenael LayecDepartment of Kinesiology, University of Massachusetts, Amherst, MA, United States.
Edward P DeboldDepartment of Kinesiology, University of Massachusetts, Amherst, MA, United States.
Anders WallqvistDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Defense Health Agency Research & Development, Medical Research and Development Command, Fort Detrick, MD, United States.
Venkat R PannalaDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Defense Health Agency Research & Development, Medical Research and Development Command, Fort Detrick, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intense physical exercise is associated with high energy demands and muscle metabolite changes that affect force generation, leading to muscle fatigue. Although these changes are well characterized in humans, their contribution to muscle fatigue is not clearly understood. Furthermore, we lack experimental methodologies for a systems-level exploration of these changes that occur during intense exercise to understand the mechanisms behind muscle fatigue development. In this study, we updated our previously developed human skeletal muscle model to include new proton-binding mechanisms and adapted it to study fatigue development during an intense all-out knee extension exercise. We contextualized and parameterized the updated model to simulate muscle force generation and muscle metabolite alterations, using motor unit recruitment data obtained from human subjects performing an all-out knee extension exercise. Our model predictions showed that nullifying the observed decline in motor unit recruitment during all-out exercise was not sufficient to stop fatigue development, as the force recovered only by 13%, and suggested that other factors may play a role. We found that the accumulation of inorganic phosphate (P

Indexed as

cross-bridge cycleinorganic phosphateknee extensionprotonsskeletal muscle fatigue

Identifiers

PMID41940026
PMCPMC13046550

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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.