Discovery of an autoantibody signature for the early diagnosis of knee osteoarthritis: data from the Osteoarthritis Initiative

Abstract

ObjectiveTo find autoantibodies (AAbs) in serum that could be useful to predict incidence of radiographic knee osteoarthritis (KOA).DesignA Nucleic-acid Programmable Protein Arrays (NAPPA) platform was used to screen AAbs against 2125 human proteins in sera at baseline from participants free of radiographic KOA belonging to the incidence and non-exposed subcohorts of the Osteoarthritis Initiative (OAI) who developed or not, radiographic KOA during a follow-up period of 96 months. NAPPA-ELISA were performed to analyse reactivity against methionine adenosyltransferase two beta (MAT2β) and verify the results in 327 participants from the same subcohorts. The association of MAT2β-AAb levels with KOA incidence was assessed by combining several robust biostatistics analysis (logistic regression, Receiver Operating Characteristic and Kaplan-Meier curves). The proposed prognostic model was replicated in samples from the progression subcohort of the OAI.ResultsIn the screening phase, six AAbs were found significantly different at baseline in samples from incident compared with non-incident participants. In the verification phase, high levels of MAT2β-AAb were significantly associated with the future incidence of KOA and with an earlier development of the disease. The incorporation of this AAb in a clinical model for the prognosis of incident radiographic KOA significantly improved the identification/classification of patients who will develop the disorder. The usefulness of the model to predict radiographic KOA was confirmed on a different OAI subcohort.ConclusionsThe measurement of AAbs against MAT2β in serum might be highly useful to improve the prediction of OA development, and also to estimate the time to incidence.

Retrospective Study of Rehabilitation Exercise Combined with Extracorporeal Shock Wave Therapy for Knee Osteoarthritis

“…KOA is one of the most common progressive and degenerative bone and joint diseases. At present, the etiology and pathogenesis are unknown, and its occurrence and development are related to factors such as weight, lifestyle, age, sex, and genetics [ 22 , 23 ]. Due to the long course of KOA and serious symptoms, there is no effective treatment.…”

“…Due to the long course of KOA and serious symptoms, there is no effective treatment. The International Society for the Study of Osteoarthritis (IAA) guidelines suggest that relieving joint pain and stiffness should be the primary goal of KOA treatment [ 22 , 23 ]. Therefore, the main challenge faced by clinicians is finding effective treatments to reduce joint pain and stiffness.…”

Osteoarthritis year in review 2020: biology

“…Still, Camacho-Encina and co-workers described the discovery of a signature of six autoantibodies that associated with future disease incidence [5]. Autoantibodies against methionine adenosyltransferase 2 subunit beta were further validated as discriminating marker.…”

Image Texture Analysis for Medical Image Mining: A Comparative Study Direct to Osteoarthritis Classification using Knee X-ray Image

“…Texture plays as one of the most important properties in images as it shows the arrangement of pixels in objects to analyze. Therefore, the texture is one of the useful solutions in medical image processing for diagnosis and detection of OA in a clinical setting [6], [7]. In [4], the research focused on the RoI of tibia texture for the analysis of OA.…”