Literature DB >> 20060947

Proteomics role in the search for improved diagnosis, prognosis and treatment of osteoarthritis.

C Ruiz-Romero1, F J Blanco.   

Abstract

OBJECTIVE: Osteoarthritis (OA) is the most common rheumatic pathology. It is related to aging and is characterized primarily by cartilage degradation. Despite its high prevalence, the diagnostic methods currently available are limited and lack sensitivity. The focus of this review is the application of proteomic technologies in the search of new biomarkers for improved diagnosis, prognosis and treatment of OA.
METHODS: This review focuses on the utilization of proteomics in OA biomarker research to enable early diagnosis, improved prognosis and the application of tailored treatments.
RESULTS: New diagnostic tests for OA are urgently needed and would also promote the development of alternative therapeutic strategies. Considering that OA involves different tissues and complex biological processes, the most promising diagnostic approach would be the study of combinations of biomarkers. New experimental approaches for the identification and validation of OA biomarkers have recently emerged and include proteomic technologies. These techniques allow the simultaneous analysis of multiple markers and become a very powerful tool for both biomarker discovery and validation.
CONCLUSIONS: Improvements in proteomics technology will undoubtedly lead to advances in characterizing new OA biomarkers and developing alternative therapies. Even so, further work is required to enhance the performance and reproducibility of proteomics tools before they can be routinely used in clinical trials and practice. 2010 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 20060947     DOI: 10.1016/j.joca.2009.11.012

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  27 in total

1.  Osteoarthritis: Metabolomic characterization of metabolic phenotypes in OA.

Authors:  Francisco J Blanco; Cristina Ruiz-Romero
Journal:  Nat Rev Rheumatol       Date:  2012-02-07       Impact factor: 20.543

2.  Proteomic analysis of synovial fluid as an analytical tool to detect candidate biomarkers for knee osteoarthritis.

Authors:  Weixiong Liao; Zhongli Li; Hao Zhang; Ji Li; Ketao Wang; Yimeng Yang
Journal:  Int J Clin Exp Pathol       Date:  2015-09-01

Review 3.  Call for standardized definitions of osteoarthritis and risk stratification for clinical trials and clinical use.

Authors:  V B Kraus; F J Blanco; M Englund; M A Karsdal; L S Lohmander
Journal:  Osteoarthritis Cartilage       Date:  2015-04-09       Impact factor: 6.576

4.  Protein Levels and Microstructural Changes in Localized Regions of Early Cartilage Degeneration Compared with Adjacent Intact Cartilage.

Authors:  Bincy Jacob; Mia Jüllig; Martin Middleditch; Leo Payne; Neil Broom; Vijayalekshmi Sarojini; Ashvin Thambyah
Journal:  Cartilage       Date:  2018-11-28       Impact factor: 4.634

5.  Proteomic analysis of synovial fluid from the osteoarthritic knee: comparison with transcriptome analyses of joint tissues.

Authors:  Susan Y Ritter; Roopashree Subbaiah; Gurkan Bebek; James Crish; Carla R Scanzello; Bryan Krastins; David Sarracino; Mary F Lopez; Mary K Crow; Thomas Aigner; Mary B Goldring; Steven R Goldring; David M Lee; Reuben Gobezie; Antonios O Aliprantis
Journal:  Arthritis Rheum       Date:  2013-04

Review 6.  Towards the identification of early stage osteoarthritis.

Authors:  Alberto Migliore; Umberto Massafra
Journal:  Clin Cases Miner Bone Metab       Date:  2014-05

7.  Sequential depletion of human serum for the search of osteoarthritis biomarkers.

Authors:  Carolina Fernández-Costa; Valentina Calamia; Patricia Fernández-Puente; José-Luis Capelo-Martínez; Cristina Ruiz-Romero; Francisco J Blanco
Journal:  Proteome Sci       Date:  2012-09-12       Impact factor: 2.480

8.  Potential plasma biomarkers for progression of knee osteoarthritis using glycoproteomic analysis coupled with a 2D-LC-MALDI system.

Authors:  Isao Fukuda; Takeshi Ishihara; Shigeki Ohmachi; Ikue Sakikawa; Atsushi Morita; Minoru Ikeda; Shoji Yamane; Tomoko Toyosaki-Maeda; Yoshihiko Takinami; Hiroyuki Okamoto; Yoshito Numata; Naoshi Fukui
Journal:  Proteome Sci       Date:  2012-06-06       Impact factor: 2.480

9.  MiRNA-132 regulates the development of osteoarthritis in correlation with the modulation of PTEN/PI3K/AKT signaling.

Authors:  Wei Zhang; Chengfang Hu; Chi Zhang; Congfeng Luo; Biao Zhong; Xiaowei Yu
Journal:  BMC Geriatr       Date:  2021-03-10       Impact factor: 3.921

10.  Identification of proteins from interstitium of trapezius muscle in women with chronic myalgia using microdialysis in combination with proteomics.

Authors:  Patrik Olausson; Björn Gerdle; Nazdar Ghafouri; Britt Larsson; Bijar Ghafouri
Journal:  PLoS One       Date:  2012-12-27       Impact factor: 3.240

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