Ali Mobasheri1,2,3,4,5, Willem Evert van Spil2,6, Emma Budd2,3, Ilona Uzieliene5, Eiva Bernotiene5, Anne-Christine Bay-Jensen1,2,7, Jonathan Larkin2,8, Marc C Levesque2,9, Oreste Gualillo10, Yves Henrotin1,2,11,12. 1. The D-BOARD FP7 Consortium. 2. The APPROACH IMI Consortium. 3. Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey. 4. Arthritis Research UK Centre for Sport, Exercise and Osteoarthritis, Queen's Medical Centre, Nottingham, UK. 5. Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania. 6. Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands. 7. Rheumatology, Biomarkers and Research, Nordic Bioscience A/S, Herlev, Denmark. 8. C3 DPU, Immunoinflammation Therapeutic Area, GlaxoSmithKline, King of Prussia, USA. 9. AbbVie Cambridge Research Center, Cambridge, Massachusetts, USA. 10. SERGAS (Servizo Galego de Saude) and IDIS (Instituto de Investigación Sanitaria de Santiago), Research Laboratory 9, The NEIRID Lab (Neuroendocrine Interactions in Rheumatology and Inflammatory Diseases), Santiago University Clinical Hospital, Santiago de Compostela, Spain. 11. Bone and Cartilage Research Unit, Arthropôle Liege, University of Liège, Liège. 12. Physical Therapy and Rehabilitation Department, Princess Paola Hospital, Vivalia, Marche-en-Famenne, Belgium.
Abstract
PURPOSE OF REVIEW: This review focuses on the molecular taxonomy of osteoarthritis from the perspective of molecular biomarkers. We discuss how wet biochemical markers may be used to understand disease pathogenesis and progression and define molecular endotypes of osteoarthritis and how these correspond to clinical phenotypes. RECENT FINDINGS: Emerging evidence suggests that osteoarthritis is a heterogeneous and multifaceted disease with multiple causes, molecular endotypes and corresponding clinical phenotypes. Biomarkers may be employed as tools for patient stratification in clinical trials, enhanced disease management in the primary care centres of the future and for directing more rational and targeted osteoarthritis drug development. Proximal molecular biomarkers (e.g synovial fluid) are more likely to distinguish between molecular endotypes because there is less interference from systemic sources of biomarker noise, including comorbidities. SUMMARY: In this review, we have focused on the molecular biomarkers of four distinct osteoarthritis subtypes including inflammatory, subchondral bone remodelling, metabolic syndrome and senescent age-related endotypes, which have corresponding phenotypes. Progress in the field of osteoarthritis endotype and phenotype research requires a better understanding of molecular biomarkers that may be used in conjunction with imaging, pain and functional assessments for the design of more effective, stratified and individualized osteoarthritis treatments.
PURPOSE OF REVIEW: This review focuses on the molecular taxonomy of osteoarthritis from the perspective of molecular biomarkers. We discuss how wet biochemical markers may be used to understand disease pathogenesis and progression and define molecular endotypes of osteoarthritis and how these correspond to clinical phenotypes. RECENT FINDINGS: Emerging evidence suggests that osteoarthritis is a heterogeneous and multifaceted disease with multiple causes, molecular endotypes and corresponding clinical phenotypes. Biomarkers may be employed as tools for patient stratification in clinical trials, enhanced disease management in the primary care centres of the future and for directing more rational and targeted osteoarthritis drug development. Proximal molecular biomarkers (e.g synovial fluid) are more likely to distinguish between molecular endotypes because there is less interference from systemic sources of biomarker noise, including comorbidities. SUMMARY: In this review, we have focused on the molecular biomarkers of four distinct osteoarthritis subtypes including inflammatory, subchondral bone remodelling, metabolic syndrome and senescent age-related endotypes, which have corresponding phenotypes. Progress in the field of osteoarthritis endotype and phenotype research requires a better understanding of molecular biomarkers that may be used in conjunction with imaging, pain and functional assessments for the design of more effective, stratified and individualized osteoarthritis treatments.
Authors: Anusha Ratneswaran; Jason S Rockel; Daniel Antflek; John J Matelski; Konstantin Shestopaloff; Mohit Kapoor; Heather Baltzer Journal: Front Immunol Date: 2022-01-20 Impact factor: 7.561
Authors: Amanda E Nelson; Thomas H Keefe; Todd A Schwartz; Leigh F Callahan; Richard F Loeser; Yvonne M Golightly; Liubov Arbeeva; J S Marron Journal: PLoS One Date: 2022-05-24 Impact factor: 3.752