Literature DB >> 17968891

Comparative proteomic characterization of articular cartilage tissue from normal donors and patients with osteoarthritis.

Jiang Wu1, Wei Liu, Amanda Bemis, Eunice Wang, Yongchang Qiu, Elisabeth A Morris, Carl R Flannery, Zhiyong Yang.   

Abstract

OBJECTIVE: To identify potential molecular mediators and biomarkers for osteoarthritis (OA), through comparative proteomic analysis of articular cartilage tissue obtained from normal donors without OA (n = 7) and patients with OA (n = 7).
METHODS: The proteomic analyses comprised extraction of soluble proteins from cartilage, separation of the protein mixtures by sodium dodecyl sulfate-polyacrylamide gel electrophoresis followed by in-gel digestion, and subsequent nano-liquid chromatography-tandem mass spectrometry analysis in conjunction with a database search for protein identification and semiquantitation.
RESULTS: A total of 814 distinct proteins were identified with high confidence from 14 samples; 420 of these proteins were detected with > or = 3 unique peptides in at least 4 samples from the same group. Using stringent criteria, 59 proteins were found to be differentially expressed in OA cartilage. Gene Ontology and Ingenuity pathway analysis tools were used to characterize these proteins into functional categories. One of the up-regulated proteins, HtrA1, a serine protease, was detected at high levels in cartilage.
CONCLUSION: Altered protein expression in the disease state is associated with many aspects of the pathogenesis of OA, such as increased proteolysis, lipid metabolism, immune response, and decreased signal transduction. To our knowledge, this is the first time that a large portion of these proteins and their expression patterns were identified in cartilage, thus providing new insights for finding novel pathologic mediators and biomarkers of OA.

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Year:  2007        PMID: 17968891     DOI: 10.1002/art.22876

Source DB:  PubMed          Journal:  Arthritis Rheum        ISSN: 0004-3591


  58 in total

1.  Quantitative proteomic analysis of eight cartilaginous tissues reveals characteristic differences as well as similarities between subgroups.

Authors:  Patrik Önnerfjord; Areej Khabut; Finn P Reinholt; Olle Svensson; Dick Heinegård
Journal:  J Biol Chem       Date:  2012-04-09       Impact factor: 5.157

2.  Quantitative proteomic profiling of muscle type-dependent and age-dependent protein carbonylation in rat skeletal muscle mitochondria.

Authors:  Juan Feng; Hongwei Xie; Danni L Meany; Ladora V Thompson; Edgar A Arriaga; Timothy J Griffin
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-11       Impact factor: 6.053

3.  Proteomic Analysis of Connexin 43 Reveals Novel Interactors Related to Osteoarthritis.

Authors:  Raquel Gago-Fuentes; Patricia Fernández-Puente; Diego Megias; Paula Carpintero-Fernández; Jesus Mateos; Benigno Acea; Eduardo Fonseca; Francisco Javier Blanco; Maria Dolores Mayan
Journal:  Mol Cell Proteomics       Date:  2015-04-22       Impact factor: 5.911

Review 4.  Access to immunology through the Gene Ontology.

Authors:  Ruth C Lovering; Evelyn B Camon; Judith A Blake; Alexander D Diehl
Journal:  Immunology       Date:  2008-10       Impact factor: 7.397

Review 5.  Osteoarthritis as a disease of the cartilage pericellular matrix.

Authors:  Farshid Guilak; Robert J Nims; Amanda Dicks; Chia-Lung Wu; Ingrid Meulenbelt
Journal:  Matrix Biol       Date:  2018-05-22       Impact factor: 11.583

6.  Migfilin's elimination from osteoarthritic chondrocytes further promotes the osteoarthritic phenotype via β-catenin upregulation.

Authors:  Vasiliki Gkretsi; Vassilis Papanikolaou; Stephanie Dubos; Ioanna Papathanasiou; Nikolina Giotopoulou; Vaia Valiakou; Chuanyue Wu; Konstantinos N Malizos; Aspasia Tsezou
Journal:  Biochem Biophys Res Commun       Date:  2012-12-10       Impact factor: 3.575

Review 7.  Defining the extracellular matrix using proteomics.

Authors:  Adam Byron; Jonathan D Humphries; Martin J Humphries
Journal:  Int J Exp Pathol       Date:  2013-02-19       Impact factor: 1.925

8.  Network medicine analysis of chondrocyte proteins towards new treatments of osteoarthritis.

Authors:  Jose C Nacher; Benjamin Keith; Jean-Marc Schwartz
Journal:  Proc Biol Sci       Date:  2014-01-15       Impact factor: 5.349

Review 9.  Metabolic syndrome meets osteoarthritis.

Authors:  Qi Zhuo; Wei Yang; Jiying Chen; Yan Wang
Journal:  Nat Rev Rheumatol       Date:  2012-08-21       Impact factor: 20.543

10.  S100A8 and S100A9 in experimental osteoarthritis.

Authors:  Hala Zreiqat; Daniele Belluoccio; Margaret M Smith; Richard Wilson; Lynn A Rowley; Katie Jones; Yogambha Ramaswamy; Thomas Vogl; Johannes Roth; John F Bateman; Christopher B Little
Journal:  Arthritis Res Ther       Date:  2010-01-27       Impact factor: 5.156

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