Osteoarthritis: multitissue pathology, molecular mechanisms, clinical management, and emerging precision and regenerative therapies

Osteoarthritis (OA) is a progressive, whole-joint disorder driven by a convergence of biomechanical stress, inflammation, metabolic dysfunction, and cellular senescence. This review integrates recent advances in our understanding of the distinct yet interconnected pathological processes affecting articular cartilage, subchondral bone, synovium, infrapatellar fat pad, menisci, ligaments, and peri-articular musculature. Emerging mechanisms, such as chondrocyte ferroptosis, neurovascular remodeling, and synovial-mesenchymal reprogramming, are highlighted for their roles in disease propagation and chronic pain. We critically appraise current therapeutic modalities, including evidence-based non-pharmacological strategies, pharmacologic agents, intra-articular biologics, and surgical interventions. In parallel, we explore the promise of precision medicine, multi-omics profiling, advanced imaging biomarkers, regenerative therapies, and artificial intelligence in reshaping diagnostic and treatment paradigms. This comprehensive synthesis underscores the shift toward a mechanistic, individualized approach to OA management and identifies key translational opportunities for disease modification and early intervention.

Authors

Institutions

Publication Details

Journal
Frontiers in Pharmacology
Published
2026-01-05
DOI
https://doi.org/10.3389/fphar.2025.1697192
Citations
2
Primary Topic
Osteoarthritis Treatment and Mechanisms
Type
article
Field-Weighted Citation Impact
93.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Osteoarthritis: multitissue pathology, molecular mechanisms, clinical management, and emerging precision and regenerative therapies

Safwat Adel Abdo Moqbel, Ahmad Alhaskawi, Lina Qiu
2 citations
Frontiers in Pharmacology
Osteoarthritis Treatment and Mechanisms
93.60
article

Osteoarthritis: multitissue pathology, molecular mechanisms, clinical management, and emerging precision and regenerative therapies

Safwat Adel Abdo Moqbel, Ahmad Alhaskawi, Lina Qiu
article en
2 citations

Abstract

Osteoarthritis (OA) is a progressive, whole-joint disorder driven by a convergence of biomechanical stress, inflammation, metabolic dysfunction, and cellular senescence. This review integrates recent advances in our understanding of the distinct yet interconnected pathological processes affecting articular cartilage, subchondral bone, synovium, infrapatellar fat pad, menisci, ligaments, and peri-articular musculature. Emerging mechanisms, such as chondrocyte ferroptosis, neurovascular remodeling, and synovial-mesenchymal reprogramming, are highlighted for their roles in disease propagation and chronic pain. We critically appraise current therapeutic modalities, including evidence-based non-pharmacological strategies, pharmacologic agents, intra-articular biologics, and surgical interventions. In parallel, we explore the promise of precision medicine, multi-omics profiling, advanced imaging biomarkers, regenerative therapies, and artificial intelligence in reshaping diagnostic and treatment paradigms. This comprehensive synthesis underscores the shift toward a mechanistic, individualized approach to OA management and identifies key translational opportunities for disease modification and early intervention.

Frontiers in PharmacologyVol. 16
Second Affiliated Hospital of Zhejiang University (CN), First Affiliated Hospital Zhejiang University (CN)
Good health and well-being
Openalex Percentile: Top 0%
Osteoarthritis Treatment and Mechanisms
93.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.