Literature DB >> 12645617

Application of a novel protein biochip technology for detection and identification of rheumatoid arthritis biomarkers in synovial fluid.

Takafumi Uchida1, Ai Fukawa, Mai Uchida, Kyosuke Fujita, Kenji Saito.   

Abstract

We compared protein profiles of the synovial fluid of patients with rheumatoid arthritis and osteoarthritis by using surface-enhanced laser desorption/ionization mass spectrometry technology. With this approach, we identified a protein expressed specifically in the synovial fluid of the patients with rheumatoid arthritis. During the investigation, we found several reproducible and discriminatory biomarker candidates for distinction between rheumatoid arthritis and osteoarthritis. Among these candidates, a 10 850 Da protein peak was the clearest example of a single signal found specifically in the rheumatoid arthritis samples. This candidate was purified using a size-exclusion spin column followed by gel electrophoresis and subsequently identified by peptide mapping and post-source decay (PSD) analysis. The results clearly indicate that the protein is myeloid-related protein 8, which was verified by the enzyme immunoassay. It is known that the myeloid-related protein 8 level in serum and synovial fluid is related to disease activity in juvenile rheumatoid arthritis. The results suggest that the ProteinChip platform is useful to detect and identify protein biomarkers expressed specifically in diseases or in some stage of diseases.

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Year:  2002        PMID: 12645617     DOI: 10.1021/pr025531w

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  17 in total

Review 1.  A generic research paradigm for identification and validation of early molecular diagnostics and new therapeutics in common disorders.

Authors:  Keith D Coon; Travis L Dunckley; Dietrich A Stephan
Journal:  Mol Diagn Ther       Date:  2007       Impact factor: 4.074

2.  Analysis of synovial fluid in knee joint of osteoarthritis:5 proteome patterns of joint inflammation based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Authors:  Xiaohua Pan; Liling Huang; Jiakai Chen; Yong Dai; Xiaofen Chen
Journal:  Int Orthop       Date:  2011-04-21       Impact factor: 3.075

3.  Establishing Classification Tree Models in Rheumatoid Arthritis Using Combination of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry and Magnetic Beads.

Authors:  Dan Ma; Nana Liang; Liyun Zhang
Journal:  Front Med (Lausanne)       Date:  2021-02-24

Review 4.  Calprotectin in rheumatic diseases.

Authors:  Francesca Ometto; Lara Friso; Davide Astorri; Costantino Botsios; Bernd Raffeiner; Leonardo Punzi; Andrea Doria
Journal:  Exp Biol Med (Maywood)       Date:  2016-01-01

5.  Discovery of serum protein biomarkers in rheumatoid arthritis using MALDI-TOF-MS combined with magnetic beads.

Authors:  Xiaoxue Zhang; Zhaolin Yuan; Bo Shen; Min Zhu; Chibo Liu; Wei Xu
Journal:  Clin Exp Med       Date:  2011-09-16       Impact factor: 3.984

Review 6.  Human body fluid proteome analysis.

Authors:  Shen Hu; Joseph A Loo; David T Wong
Journal:  Proteomics       Date:  2006-12       Impact factor: 3.984

7.  Calprotectin (a major leucocyte protein) is strongly and independently correlated with joint inflammation and damage in rheumatoid arthritis.

Authors:  Hilde Berner Hammer; Sigrid Odegard; Magne K Fagerhol; Robert Landewé; Désirée van der Heijde; Till Uhlig; Petter Mowinckel; Tore K Kvien
Journal:  Ann Rheum Dis       Date:  2007-01-18       Impact factor: 19.103

8.  Apolipoprotein A-I and platelet factor 4 are biomarkers for infliximab response in rheumatoid arthritis.

Authors:  C Trocmé; H Marotte; A Baillet; B Pallot-Prades; J Garin; L Grange; P Miossec; J Tebib; F Berger; M J Nissen; R Juvin; F Morel; P Gaudin
Journal:  Ann Rheum Dis       Date:  2008-07-29       Impact factor: 19.103

9.  A Contra Capture Protein Array Platform for Studying Post-translationally Modified (PTM) Auto-antigenomes.

Authors:  Kailash Karthikeyan; Kristi Barker; Yanyang Tang; Peter Kahn; Peter Wiktor; Al Brunner; Vinicius Knabben; Bharath Takulapalli; Jane Buckner; Gerald Nepom; Joshua LaBaer; Ji Qiu
Journal:  Mol Cell Proteomics       Date:  2016-05-02       Impact factor: 5.911

10.  Application for proteomic techniques in studying osteoarthritis: a review.

Authors:  Myriam Gharbi; Michelle Deberg; Yves Henrotin
Journal:  Front Physiol       Date:  2011-12-02       Impact factor: 4.566

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