Literature DB >> 21640052

The potential roles for novel biomarkers in rheumatoid arthritis assessment.

P J Mease1.   

Abstract

Comprehensive management of rheumatoid arthritis (RA) requires regular monitoring of disease activity, functional status, and structural damage to facilitate optimal patient outcomes. Tight control strategies have been successfully used in other diseases including diabetes and hypertension. Tight control requires frequent disease activity measurements in order to tailor treatment for individual patients, resulting in improved patient outcomes. Current monitoring measures used in clinical practice are largely driven by subjective evaluation of signs and symptoms, which are critical but limited by assessor variability and may not reflect true biological change in a timely manner. Research suggests that novel biomarkers may provide quantitative, objective assessments of disease activity and structural damage risk in RA, which are not captured by current measures. The simultaneous use of multiple biomarkers in a single test algorithm may provide a more comprehensive quantitative representation of the overall complex heterogeneous biology of RA. This article reviews the current management strategies for monitoring RA and the potential impact that multi-biomarker assays may have on RA assessment, which may further improve clinical outcomes.

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Year:  2011        PMID: 21640052

Source DB:  PubMed          Journal:  Clin Exp Rheumatol        ISSN: 0392-856X            Impact factor:   4.473


  7 in total

1.  Baseline serum interleukin-34 levels independently predict radiographic progression in patients with rheumatoid arthritis.

Authors:  Sung Hae Chang; Byoong Yong Choi; Jungbum Choi; Jong Jin Yoo; You-Jung Ha; Hyon Joung Cho; Eun Ha Kang; Yeong Wook Song; Yun Jong Lee
Journal:  Rheumatol Int       Date:  2014-06-11       Impact factor: 2.631

Review 2.  Alarmins: awaiting a clinical response.

Authors:  James K Chan; Johannes Roth; Joost J Oppenheim; Kevin J Tracey; Thomas Vogl; Marc Feldmann; Nicole Horwood; Jagdeep Nanchahal
Journal:  J Clin Invest       Date:  2012-08-01       Impact factor: 14.808

3.  Establishing serological classification tree model in rheumatoid arthritis using combination of MALDI-TOF-MS and magnetic beads.

Authors:  Zhang Yan; Hu Chaojun; Deng Chuiwen; Leng Xiaomei; Zhang Xin; Li Yongzhe; Zhang Fengchun
Journal:  Clin Exp Med       Date:  2013-11-30       Impact factor: 3.984

4.  Performance of a multi-biomarker score measuring rheumatoid arthritis disease activity in the CAMERA tight control study.

Authors:  Marije F Bakker; Guy Cavet; Johannes Wg Jacobs; Johannes W J Bijlsma; Douglas J Haney; Yijing Shen; Lyndal K Hesterberg; Dustin R Smith; Michael Centola; Joel A G van Roon; Floris P J G Lafeber; Paco M J Welsing
Journal:  Ann Rheum Dis       Date:  2012-05-17       Impact factor: 19.103

5.  Efficacy and safety of mavrilimumab in subjects with rheumatoid arthritis.

Authors:  Gerd R Burmester; Michael E Weinblatt; Iain B McInnes; Duncan Porter; Olga Barbarash; Mykola Vatutin; Istvan Szombati; Ehsanollah Esfandiari; Matthew A Sleeman; Christopher D Kane; Guy Cavet; Bing Wang; Alex Godwood; Fabio Magrini
Journal:  Ann Rheum Dis       Date:  2012-12-12       Impact factor: 19.103

6.  Low serum levels of myeloid progenitor inhibitory factor-1 predict good response to methotrexate in rheumatoid arthritis.

Authors:  Varun Dhir; Amit Sandhu; Nidhi Gupta; Veena Dhawan; Shefali Sharma; Aman Sharma
Journal:  ISRN Inflamm       Date:  2013-12-24

7.  Development of a multi-biomarker disease activity test for rheumatoid arthritis.

Authors:  Michael Centola; Guy Cavet; Yijing Shen; Saroja Ramanujan; Nicholas Knowlton; Kathryn A Swan; Mary Turner; Chris Sutton; Dustin R Smith; Douglas J Haney; David Chernoff; Lyndal K Hesterberg; John P Carulli; Peter C Taylor; Nancy A Shadick; Michael E Weinblatt; Jeffrey R Curtis
Journal:  PLoS One       Date:  2013-04-09       Impact factor: 3.240

  7 in total

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