Close
Help




JOURNAL

Biomarker Insights

Identification of Potential Prognostic Markers for Knee Osteoarthritis by Serum Proteomic Analysis

Submit a Paper


Biomarker Insights 2013:8 85-95

Original Research

Published on 29 Jul 2013

DOI: 10.4137/BMI.S11966


Further metadata provided in PDF



Sign up for email alerts to receive notifications of new articles published in Biomarker Insights

Abstract

Background: As osteoarthritis (OA) is a highly heterogeneous disease in terms of progression, establishment of prognostic biomarkers would be highly beneficial for treatment. The present study was performed to identify novel biomarkers capable of predicting the progression of knee OA.

Methods: A total of 69 plasma samples (OA patients undergoing radiographic progression, n = 25; nonprogression, n = 33; healthy donors, n = 11) were analyzed by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS), and ion peaks of interest were identified by liquid chromatography and matrix-assisted laser desorption/ionization (MALDI)-TOF MS. The identities of these proteins were further validated by immunoprecipitation combined with SELDI-TOF MS analysis.

Results: SELDI-TOF MS analysis indicated that the intensities of 3 ion peaks differed significantly between progressors and nonprogressors. Subsequent analyses indicated that these peaks corresponded to apolipoprotein C-I, C-III, and an N-terminal truncated form of transthyretin, respectively. The identities of these proteins were confirmed by the loss of ion peaks in SELDI-TOF MS spectra by immunoprecipitation using specific antibodies for the respective proteins.

Conclusions: Three potential biomarkers were identified whose serum levels differed significantly between OA progressors and nonprogressors. These biomarkers are expected to be prognostic biomarkers for knee OA and to facilitate the development of novel disease-modifying treatments for OA.



Downloads

PDF  (923.30 KB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

BibTex citation   (BIBDESK, LATEX)

XML

PMC HTML


Sharing


What Your Colleagues Say About Biomarker Insights
testimonial_image
I have had a great experience with submitting my cancer prognosis study to Biomarker Insights. The comments from reviewers and associate editor are high quality and insightful. Congratulations and keep up the good work.
Dr Yi Hong Zhou (University of California, Irvine, CA, USA)
More Testimonials

Quick Links


New article and journal news notification services
Email Alerts RSS Feeds
Facebook Google+ Twitter
Pinterest Tumblr YouTube