Signatures of disease progression in knee osteoarthritis: insights from an integrated multi-scale modeling approach, a proof of concept

• DOI: 10.3389/fbioe.2023.1214693
• Publication Date: 2023-07-27T17:44:55Z
• Authors: Ikram Mohout; Seyed Ali Elahi; Amir Esrafilian; Bryce A. Killen; Rami K. Korhonen; Sabine Verschueren; Ilse Jonkers
• Keywords: Gait cycle; Degeneration (medical); Demographics

Introduction: Knee osteoarthritis (KOA) is characterized by articular cartilage degeneration. It has been widely accepted that the mechanical joint environment plays a significant role in onset and progression of this disease. In silico models have used to study interplay between loading degeneration, hereby relying mainly on two key mechanoregulatory factors indicative collagen degradation proteoglycans depletion. These are strain fibril direction (SFD) maximum shear (MSS) respectively. Methods: study, multi-scale modeling approach was based synergy musculoskeletal finite element evaluate SFD MSS. strains were evaluated during gait subject-specific analysis data collected at baseline (before 2-year follow-up) for healthy progressive early-stage KOA subject with similar demographics. Results: The results show both MSS allowed distinguishing subject, showing 2 years follow-up, instance peak contact force as well stance phase cycle. At phase, found be more elevated patient median being 0.82% higher lateral 0.4% medial compartment tibial compared subject. Similarly, MSS, 3.6% 0.7% Based these intersubject differences, we additionally able identify risk progression. Conclusion/discussion: We confirmed potential biomarkers discriminate patients disease Future studies should sensitivity calculated workflow larger control cohorts.