“…Encouraged by these findings, recent studies have focused on the identification of new markers, more specifically addressing early diagnosis, and the development of new targets for disease modifying drugs. 5,[11][12][13] Furthermore, biomarkers may also be a means to predict disease progression and optimize individual treatments. 14,15 Abbreviations: ASPN, asporin; AUGN, augurin; Col, collagen; pN Col III, N-propeptide collagen type III; CILP1, cartilage intermediate layer protein 1; CILP2, cartilage intermediate layer protein 2; CHAD, chondroadherin; COMP, cartilage oligomeric matrix protein; CHADL, chondroadherin link protein; CSPG2, versican core protein; COBA2, collagen alpha-2 (XI) chain; DERM, dermatopontin; ECM, extracellular martix; FMOD, fibromodulin; Fx, fracture; FINC, fibronectin; GAGs, glycosaminoglycans; HPLN, hyaluronan and PG link protein; HTRA1, serine protease HTRA1; LC, liquid chromatography; LUM, lumican; MS, mass spectrometry; MRM, multiple reaction monitoring; MATN1, matrilin-1; MATN3, matrilin-3; MIME, mimecan; MGP, matrix Gla protein; OA, osteoarthritis; OMD, osteomodulin; OSTP, osteopontin; PGs, proteoglycans; PGCA, aggrecan core protein; PGS1, biglycan; PGS2, decorin; PRG4, lubricin; PRELP, prolargin; PGBM, basement membrane specific heparin sulfate PG core protein; TSP1, thrombospondin-1; TSP4, thrombospondin-4; SLRPs, small leucine rich repeat proteoglycans; TENA, tenascin-C; TENX, tenascin-X; TGF-b, Transforming growth factor-beta Patrik The aim of this study was to explore candidate proteins in early events of osteoarthritic cartilage which may predict development of OA.…”