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Identification and characterization of two consistent osteoarthritis subtypes by transcriptome and clinical data integration

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Identification and characterization of two consistent osteoarthritis subtypes by transcriptome and clinical data integration

Rheumatology Oxford Journal

Fecha de publicación: 4 de septiembre de 2020

DOI: https://doi.org/10.1093/rheumatology/keaa391

Autores: Rodrigo Coutinho de Almeida, Ahmed Mahfouz, Hailiang Mei, Evelyn Houtman, Wouter den Hollander, Jamie Soul, Eka Suchiman, Nico Lakenberg, Jennifer Meessen, Kasper Huetink, Rob G H H Nelissen, Yolande F M Ramos, Marcel Reinders, Ingrid Meulenbelt

Background: To identify OA subtypes based on cartilage transcriptomic data in cartilage tissue and characterize their underlying pathophysiological processes and/or clinically relevant characteristics. Methods: This study includes n = 66 primary OA patients (41 knees and 25 hips), who underwent a joint replacement surgery, from which macroscopically unaffected (preserved, n = 56) and lesioned (n = 45) OA articular cartilage were collected [Research Arthritis and Articular Cartilage (RAAK) study]. Unsupervised hierarchical clustering analysis on preserved cartilage transcriptome followed by clinical data integration was performed. Protein–protein interaction (PPI) followed by pathway enrichment analysis were done for genes significant differentially expressed between subgroups with interactions in the PPI network.

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