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Discovery of circulating proteins associated to knee radiographic osteoarthritis
KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0001-7843-2960
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2017 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 7, article id 137Article in journal (Refereed) Published
Abstract [en]

Currently there are no sufficiently sensitive biomarkers able to reflect changes in joint remodelling during osteoarthritis (OA). In this work, we took an affinity proteomic approach to profile serum samples for proteins that could serve as indicators for the diagnosis of radiographic knee OA. Antibody suspension bead arrays were applied to analyze serum samples from patients with OA (n = 273), control subjects (n = 76) and patients with rheumatoid arthritis (RA, n = 244). For verification, a focused bead array was built and applied to an independent set of serum samples from patients with OA (n = 188), control individuals (n = 83) and RA (n = 168) patients. A linear regression analysis adjusting for sex, age and body mass index (BMI) revealed that three proteins were significantly elevated (P < 0.05) in serum from OA patients compared to controls: C3, ITIH1 and S100A6. A panel consisting of these three proteins had an area under the curve of 0.82 for the classification of OA and control samples. Moreover, C3 and ITIH1 levels were also found to be significantly elevated (P < 0.05) in OA patients compared to RA patients. Upon validation in additional study sets, the alterations of these three candidate serum biomarker proteins could support the diagnosis of radiographic knee OA.

Place, publisher, year, edition, pages
Nature Publishing Group, 2017. Vol. 7, article id 137
National Category
Rheumatology and Autoimmunity
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URN: urn:nbn:se:kth:diva-205464DOI: 10.1038/s41598-017-00195-8ISI: 000396868900019PubMedID: 28273936Scopus ID: 2-s2.0-85036578428OAI: oai:DiVA.org:kth-205464DiVA, id: diva2:1097260
Available from: 2017-05-22 Created: 2017-05-22 Last updated: 2017-05-22Bibliographically approved

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Ayoglu, BurcuSchwenk, Jochen M.Nilsson, Peter

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