Evidence map›Paper›PMID 42412243›Full record

ArticleBiomechanics and modeling in mechanobiology2026

Effect of muscle atrophy on fracture healing: insights from a tibial musculoskeletal-finite element model.

Qianjun Ding, Lunjian Li, Lihai Zhang

Abstract read
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Article in Biomechanics and modeling in mechanobiology, 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Qianjun DingDepartment of Infrastructure Engineering, The University of Melbourne, Parkville, VIC, 3010, Australia.
Lunjian LiDepartment of Infrastructure Engineering, The University of Melbourne, Parkville, VIC, 3010, Australia. lunjian.li.1@unimelb.edu.au.
Lihai ZhangDepartment of Infrastructure Engineering, The University of Melbourne, Parkville, VIC, 3010, Australia. lihzhang@unimelb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with tibial fractures often suffer from muscle atrophy due to aging and postoperative immobility. However, much less is known about how atrophic muscle conditions interact with the microenvironment and influence fracture healing outcomes. To this end, this study developed an atrophy-adjusted tibial fracture musculoskeletal model to simulate physiological loadings on the fractured tibia associated with partial weight-bearing (PWB) walking rehabilitation, incorporating various degrees of muscle atrophy and clinically observed muscle deformation at fracture callus. An anatomically muscle-informed tibial fracture healing model, integrating muscle load distributions onto the insertion surface of the bone geometry, was then used to predict dynamic mesenchymal stem cell differentiations and deviatoric strains during gait. The effects of PWB% and rehabilitation walking speed on healing outcomes in patients with various levels of muscle atrophy were systematically evaluated. The results show that the muscle loadings and knee contact forces substantially decline with the increased level of muscle atrophy. Directly using musculoskeletal simulations without accounting for patient-specific muscle atrophy could overstate temporal fluctuations of healing trajectories, leading to overestimation in the risk of fracture non-union and unsuccessful angiogenesis. Besides, the tolerance of PWB% level and rehabilitation walking speed varies according to different levels of muscle atrophy. Our results can recommend PWB walking protocols to enhance endochondral ossification, while controlling the risk of vessel rupture. The study highlights the impact of muscle atrophy on the early healing process, aiming to assist physiotherapists and orthopedic surgeons in prescribing personalized rehabilitation protocols based on patient-specific muscle conditions.

Indexed as

Finite Element AnalysisFracture HealingModels, BiologicalMuscular AtrophyTibiaTibial FracturesBiomechanical PhenomenaComputer SimulationHumansPartial Weight-BearingWalkingWeight-BearingFinite element analysisFracture healingMuscle atrophyMusculoskeletal modelingPartial weight-bearing

Identifiers

PMID42412243
PMCPMC13342410

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LicenceCC BY
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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.