[en] [en] OBJECTIVE: To assess the longitudinal stability of biomarker-based molecular endotypes of knee osteoarthritis (KOA) participants from APPROACH and to evaluate the consistency of findings in an independent KOA population.
METHODS: Nineteen biomarkers were measured longitudinally in 295 KOA participants from the APPROACH cohort. K-means clustering was used to identify the structural damage, inflammation, and low tissue turnover endotypes at the six-, 12-, and 24-month follow-ups. Endotype stability was defined as having the same independent endotype assignment longitudinally for patients with complete data (n = 226). Clinical and biochemical characteristics were compared between participants with longitudinally stable and unstable endotypes. The presence and longitudinal stability of the endotypes were evaluated in a different KOA population from the placebo arm of the oral salmon calcitonin trials.
RESULTS: An average overall longitudinal endotype stability of 55% (Fleiss' Kappa of 0.53; 95% confidence interval [CI]: 0.46, 0.60) was demonstrated. An average stability of 59% (range: 54-59%) was observed for the structural damage endotype (Fleiss' Kappa 0.52; 95% CI: 0.45, 0.60), 54% (52-56%) for the inflammatory (Fleiss' Kappa 0.61; 95% CI: 0.53, 0.68), and 50% (49-52%) for the low tissue turnover endotype (Fleiss' Kappa 0.46; 95% CI: 0.39, 0.54). Participants with longitudinally unstable endotypes exhibited molecular properties of more than one endotype, which were detectable already at the first visit.
CONCLUSIONS: Our study showed for the first time that more than half of KOA participants exhibited a longitudinally stable endotype, highlighting the applicability of biomarker-based endotyping in a clinical trial setting.
Disciplines :
Rheumatology
Author, co-author :
Hannani, Monica T; Nordic Bioscience, Herlev, Denmark, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. Electronic address: mth@nordicbio.com
Thudium, Christian S; Nordic Bioscience, Herlev, Denmark. Electronic address: cst@nordicbio.com
Gellhorn, Alfred C; GlaxoSmithKline USA, Philadelphia, PA, USA. Electronic address: alfred.c.gellhorn@gsk.com
Larkin, Jonathan; Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland, SynOA Therapeutics, Philadelphia, PA, USA. Electronic address: jonathan.2.larkin@gmail.com
Ladel, Christoph ; CHL4special, Darmstadt, Germany. Electronic address: christoph.ladel@gmail.com
Struglics, André ; Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Orthopaedics, Lund, Sweden. Electronic address: andre.struglics@med.lu.se
Uebelhoer, Melanie; Artialis SA, Liège, Belgium. Electronic address: melanie.uebelhoer@artialis.com
Henrotin, Yves ; Université de Liège - ULiège > Département des Sciences de l'activité physique et de la réadaptation > Pathologie générale et physiopathologie - Techniques particulières de kinésithérapie
Blanco, Francisco J; Instituto de Investigación Biomédica de A Coruña, Grupo de Investigación de Reumatología (GIR), Centro de Investigacion de Ciencias Avanzadas, Departamento de Fisioterapia, Medicina y Ciencias Biomedicas, Universidade da Coruña, Coruña, Spain. Electronic address: fblagar@sergas.es
Haugen, Ida K; Center for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway. Electronic address: ida.k.haugen@gmail.com
Kloppenburg, Margreet ; Department of Rheumatology, Leiden University Medical Center, Leiden, the Netherlands, Department of Rheumatology, Zuyderland Medical Center, Heerlen, the Netherlands. Electronic address: g.kloppenburg@lumc.nl
Berenbaum, Francis ; Sorbonne University, INSERM CRSA, AP-HP Saint-Antoine Hospital, Paris, France. Electronic address: francis.berenbaum@aphp.fr
Mobasheri, Ali ; Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Bacardit, Jaume ; School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom. Electronic address: jaume.bacardit@newcastle.ac.uk
Mobasheri, A., Kapoor, M., Ali, S.A., Lang, A., Madry, H., The future of deep phenotyping in osteoarthritis: How can high throughput omics technologies advance our understanding of the cellular and molecular taxonomy of the disease?. Osteoarthr Cartil Open, 3(4), 2021, 100144, 10.1016/j.ocarto.2021.100144.
Luo, Y., Samuels, J., Krasnokutsky, S., Byrjalsen, I., Kraus, V.B., He, Y., et al. A low cartilage formation and repair endotype predicts radiographic progression of symptomatic knee osteoarthritis. J Orthop Traumatol 22:10 (2021), 123–131, 10.1186/s10195-021-00572-0.
Meulenbelt, I., Kloppenburg, M., Kroon, H.M., Houwing-Duistermaat, J.J., Garnero, P., Hellio-, Le, Graverand, M.P., et al. Clusters of biochemical markers are associated with radiographic subtypes of osteoarthritis (OA) in subject with familial OA at multiple sites. The GARP study. Osteoarthritis Cartilage 15:4 (2007), 379–385, 10.1016/j.joca.2006.09.007.
Lötvall, J., Akdis, C.A., Bacharier, L.B., Bjermer, L., Casale, T.B., Custovic, A., et al. Asthma endotypes: a new approach to classification of disease entities within the asthma syndrome. J Allergy Clin Immunol 127:2 (2011), 355–360, 10.1016/j.jaci.2010.11.037.
Kraus, V.B., Collins, J.E., Hargrove, D., Losina, E., Nevitt, M., Katz, J.N., et al. Predictive validity of biochemical biomarkers in knee osteoarthritis: data from the FNIH OA Biomarkers Consortium. Ann Rheum Dis 76:1 (2017), 186–195, 10.1136/annrheumdis-2016-209252.
van Helvoort, E.M., van Spil, W.E., Jansen, M.P., Welsing, P.M.J., Kloppenburg, M., Loef, M., et al. Cohort profile: The Applied Public-Private Research enabling OsteoArthritis Clinical Headway (IMI-APPROACH) study: a 2-year, European, cohort study to describe, validate and predict phenotypes of osteoarthritis using clinical, imaging and biochemical markers. BMJ Open, 10(7), 2020, e035101, 10.1136/bmjopen-2019-035101.
Angelini, F., Widera, P., Mobasheri, A., Blair, J., Struglics, A., Uebelhoer, M., et al. Osteoarthritis endotype discovery via clustering of biochemical marker data. Ann Rheum Dis 81 (2022), 666–675, 10.1136/annrheumdis-2021-221763.
van Helvoort, E.M., Jansen, M.P., Marijnissen, A.C.A., Kloppenburg, M., Blanco, F.J., Haugen, I.K., et al. Predicted and actual 2-year structural and pain progression in the IMI-APPROACH knee osteoarthritis cohort. Rheumatology 62 (2022), 147–157, 10.1093/rheumatology/keac292.
Leeming, D.J., Alexandersen, P., Karsdal, M.A., Qvist, P., Schaller, S., Tankó, L.B., An update on biomarkers of bone turnover and their utility in biomedical research and clinical practice. Eur J Clin Pharmacol 62:10 (2006), 781–792, 10.1007/s00228-006-0174-3.
Schlemmer, A., Hassager, C., Acute fasting diminishes the circadian rhythm of biochemical markers of bone resorption. Eur J Endocrinol 140:4 (1999), 332–337, 10.1530/eje.0.1400332.
Hannani, M.T., Thudium, C.S., Karsdal, M.A., Mobasheri, A., Uebelhoer, M., Larkin, J., et al. From biochemical markers to molecular endotypes of osteoarthritis: a review on validated biomarkers. Expert Rev Mol Diagn 24:1–2 (2024), 23–38, 10.1080/14737159.2024.2315282.
Leeming, D.J., Larsen, D.V., Zhang, C., Hi, Y., Veidal, S.S., Nielsen, R.H., et al. Enzyme-linked immunosorbent serum assays (ELISAs) for rat and human N-terminal pro-peptide of collagen type I (PINP) – Assessment of corresponding epitopes. Clin Biochem 43:15 (2010), 1249–1256, 10.1016/j.clinbiochem.2010.07.025.
Leeming, D.J., Nielsen, M.J., Dai, Y., Veidal, S.S., Vassiliadis, E., Zhang, C., et al. Enzyme-linked immunosorbent serum assay specific for the 7S domain of collagen type IV (P4NP 7S): a marker related to the extracellular matrix remodeling during liver fibrogenesis. Hepatol Res 42:5 (2012), 482–493, 10.1111/j.1872-034X.2011.00946.x.
Vassiliadis, E., Oliveira, C.P., Alvares-da-Silva, M.R., Zhang, C., Carrilho, F.J., Stefano, J.T., et al. Circulating levels of citrullinated and MMP-degraded vimentin (VICM) in liver fibrosis related pathology. Am J Transl Res 4:4 (2012), 403–414.
Chin, S., Collins, J.E., Clustering methods in rheumatic and musculoskeletal disease research: an educational guide to best research practices. J Rheumatol, 51(11), 2024, 10.3899/jrheum.2024-0519.
Costantino, F., Aegerter, P., Schett, G., De Craemer, A.S., Molto, A., Van den Bosch, F., et al. Cluster analysis in early axial spondyloarthritis predicts poor outcome in the presence of peripheral articular manifestations. Rheumatology 61 (2022), 3289–3298, 10.1093/rheumatology/keab873.
Wasserstein, R.L., Schirm, A.L., Lazar, N.A., Moving to a World Beyond “p < 0.05”. Am Stat 73:sup1 (2019), 1–19, 10.1080/00031305.2019.1583913.
Karsdal, M.A., Byrjalsen, I., Alexandersen, P., Bihlet, A., Andersen, J.R., Riis, B.J., et al. Treatment of symptomatic knee osteoarthritis with oral salmon calcitonin: results from two phase 3 trials. Osteoarthritis Cartilage 23:4 (2015), 532–543, 10.1016/j.joca.2014.12.019.
Mobasheri, A., Saarakkala, S., Finnilä, M., Karsdal, M.A., Bay-Jensen, A.C., van Spil, W.E., Recent advances in understanding the phenotypes of osteoarthritis. F1000Research, 8, 2019, 2091, 10.12688/f1000research.20575.1.
Loza, M.J., Djukanovic, R., Chung, K.F., Horowitz, D., Ma, K., Branigan, P., et al. Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study. Respir Res, 17, 2016, 165, 10.1186/s12931-016-0482-9.
Alex, R.M., Sofer, T., Azarbarzin, A., Vena, D., Gell, L.K., Wellman, A., et al. Within-night repeatability and long-term consistency of sleep apnea endotypes: the multi-ethnic study of atherosclerosis and osteoporotic fractures in men study. Sleep, 45(9), 2022, zsac129.
Bax, E., Nguyen, C., Custers, R.J., van Egmond, N., Arbabi, V., Rayegan, H., et al. Effects of knee flexion on minimal joint space width increase in knee osteoarthritis patients in the IMI-APPROACH cohort (Abstract). Osteoarthritis Cartilage 32:6 (2024), 804–805, 10.1016/j.joca.2024.03.069.
Mobasheri, A., Van Spil, W.E., Budd, E., Uzieliene, I., Bernotiene, E., Bay-Jensen, A.C., et al. Molecular taxonomy of osteoarthritis for patient stratification, disease management and drug development: Biochemical markers associated with emerging clinical phenotypes and molecular endotypes. Curr Opin Rheumatol 31:1 (2019), 80–89, 10.1097/BOR.0000000000000567.
Bezdek, J.C., Ehrlich, R., Full, W., FCM: The fuzzy c-means clustering algorithm. Comput Geosci 10:2–3 (1984), 191–203, 10.1016/0098-3004(84)90020-7.
Eckstein, F., Wirth, W., Putz, R., Sexual dimorphism in articular tissue anatomy – key to understanding sex differences in osteoarthritis?. Osteoarthritis Cartilage 32:9 (2024), 1019–1031, 10.1016/j.joca.2024.05.014.
Haraden, C.A., Huebner, J.L., Hsueh, M.F., Li, Y.J., Kraus, V.B., Synovial fluid biomarkers associated with osteoarthritis severity reflect macrophage and neutrophil related inflammation. Arthritis Res Ther, 21, 2019, 146, 10.1186/s13075-019-1923-x.
Werdyani, S., Liu, M., Zhang, H., Sun, G., Furey, A., Randell, E.W., et al. Endotypes of primary osteoarthritis identified by plasma metabolomics analysis. Rheumatology 60 (2021), 2735–2744, 10.1093/rheumatology/keaa693.