Evidence map›Paper›PMID 41250115›Full record

ArticleBMC sports science, medicine & rehabilitation2025

Musculoskeletal modelling sequentially integrated with stress simulation reveals asymmetrical knee loading and ligament stress during long-distance running.

Zixiang Gao, Liangliang Xiang, Hanhui Jiang, Qichang Mei, Gusztáv Fekete, Julien S Baker, Yaodong Gu

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Article in BMC sports science, medicine & rehabilitation, 2025. 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

7 authors.

Zixiang GaoDepartment of Radiology, Ningbo No. 2 Hospital, Ningbo, 315010, China.
Liangliang XiangKTH MoveAbility Lab, Department of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, SE-100 44, Sweden.
Hanhui JiangFaculty of Sports Science, Ningbo University, Ningbo, 315211, China.
Qichang MeiFaculty of Sports Science, Ningbo University, Ningbo, 315211, China.
Gusztáv FeketeVehicle Industry Research Center, Széchenyi István University, Győr, 9026, Hungary.
Julien S BakerDepartment of Sport, Physical Education and Health, Hong Kong Baptist University, 999077, Hong Kong, China.
Yaodong GuFaculty of Sports Science, Ningbo University, Ningbo, 315211, China. guyaodong@hotmail.com.

Funding

Key R&D Program of Zhejiang Province 2021C03130Zhejiang Province Science Fund for Distinguished Young Scholars R22A021199
6 · The paper itself

Abstract

backgroundUnderstanding the internal load characteristics of the knee joint is essential for investigating unilateral knee injuries associated with running. This study examined the differences in the location and magnitude of von Mises stress in the internal structures of bilateral knee joints during the stance phase of gait following 10 km running at submaximal speeds.

methodsA healthy male recreational runner participated in this study. We employed a synergistic approach, integrating subject-specific knee joint angles, reaction forces, and moments derived from musculoskeletal modeling to inform and drive the finite element (FE) modeling of running. This methodology ensured a detailed and accurate representation of knee joint mechanics. The peak stresses of the bilateral knee menisci, tibial cartilage, and five main ligaments were quantified using a FE model during the stance phase.

resultsThe meniscus, tibial cartilage, anterior (ACL), posterior cruciate ligament (PCL), medial (MCL), lateral collateral ligament (LCL) and experienced larger loads in the non-dominant limb across most phases of stance. Additionally, fatigue elevated the peak loading on the non-dominant limb's ACL, PCL, and LCL during the gait stance phase but diminished the load on these ligaments in the dominant knee joint. For Patellar ligament (PL), the non-dominant side showed maximal stress at initial contact, while the dominant side dominated during the remaining stance phases.

conclusionsThis proof-of-concept substantially enhances our understanding of the impact of running-induced fatigue on bilateral knee loading. It provides a detailed analysis of factors leading to unilateral knee overload during extended running. These insights are essential in formulating targeted strategies to reduce injury risks.

Indexed as

Finite element modelingKneeLimb dominanceOverloading injuriesRunning

Identifiers

PMID41250115
PMCPMC12625068

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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.