The present study found that axial knee kinematics could serve as important biomarkers of an ACLr, potentially representing a modifiable feature for osteoarthritis treatment and prevention. These findings demonstrate the feasibility of early knee osteoarthritis detection using biomechanical biomarkers, providing preliminary evidence for the use of wearable sensors outside clinical settings and underscoring the possibilities for at-home monitoring.

Translation of biological insights from preclinical studies to human disease is a pressing challenge in biomedical research, including in osteoarthritis. Translatable Components Regression (TransComp-R) is a computational framework previously used to identify biological pathways predictive of human disease conditions. We aimed to evaluate the translatability of two common murine models of post-traumatic osteoarthritis – surgical destabilization of the medial meniscus (DMM) and noninvasive anterior cruciate ligament rupture (ACLR) – to transcriptomics cartilage data from human osteoarthritis studies.

Translation of biological insights from preclinical studies to human disease is a pressing challenge in biomedical research, including in osteoarthritis. Translatable Components Regression (TransComp-R) is a computational framework previously used to identify biological pathways predictive of human disease conditions. We aimed to evaluate the translatability of two common murine models of post-traumatic osteoarthritis – surgical destabilization of the medial meniscus (DMM) and noninvasive anterior cruciate ligament rupture (ACLR) – to transcriptomics cartilage data from human osteoarthritis studies.

Assistant ProfessorDepartment of Mechanical EngineeringSouth Dakota State UniversityGraduate Degree, University: PhD in Materials Science and Engineer...

Research and Development Scientist and Engineer, Department of Orthopaedic SurgeryStanford University, Stanford CA, PI Dr. Constance ChuUndergraduate ...

Functional recovery after total knee arthroplasty (TKA) varies widely among individuals, and traditional assessments often fail to detect subtle chang...

Female athletes are at a significantly greater risk of anterior cruciate ligament injury when compared to males. The cause of this is multifactorial, due to interactions of extrinsic, anatomic, genetic, hormonal, and neuromuscular factors. Careful preoperative consideration of the patient’s anatomy, biomechanics, and goals is crucial when discussing graft type and adjunct procedures. Female athletes are also significantly less likely to return to sport than males, often due to fear of re-injury and/or distrust of their knee. To optimize success in female athletes, it is important to take a multidisciplinary approach, address modifiable risk factors, and provide holistic support.

Publication date: Available online 1 November 2025