Literature DB >> 25939520

Biomarkers for diagnosis, monitoring of progression, and treatment responses in ankylosing spondylitis and axial spondyloarthritis.

John D Reveille1.   

Abstract

With the growing awareness of the impact of chronic back pain and axial spondyloarthritis and recent breakthroughs in genetics and the development of novel treatments which may impact best on early disease, the need for markers that can facilitate early diagnosis and profiling those individuals at the highest risk for a bad outcome has never been greater. The genetic basis of ankylosing spondylitis has been considerably advanced, and HLA-B27 testing has a role in the diagnosis. Knowledge is still incomplete of the rest of the genetic contribution to disease susceptibility, and it is likely premature to use extensive genetic testing (other than HLA-B27) for diagnosis. Serum and plasma biomarkers have been examined extensively in assessing disease activity, treatment response, and as predictors or radiographic severity. For assessing disease activity, other than C-reactive protein and erythrocyte sedimentation rate, the most work has been in examining cytokines (particularly interleukin 17 and 23), matrix metalloproteinase (MMP) markers (particularly MMP3). For assessing those at the highest risk for radiographic progression, biomarkers of bony metabolism, cartilage and connective tissue degradation products, and adipokines have been most extensively assessed. The problem is that no individual biomarkers has been reproducibly shown to assess disease activity or predict outcome, and this area still remains an unmet need, of relevance to industry stakeholders, to regulatory bodies, to the healthcare system, to academic investigators, and finally to patients and providers.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25939520      PMCID: PMC4488904          DOI: 10.1007/s10067-015-2949-3

Source DB:  PubMed          Journal:  Clin Rheumatol        ISSN: 0770-3198            Impact factor:   2.980


  75 in total

1.  Serum MMP-3 level as a biomarker for monitoring and predicting response to etanercept treatment in ankylosing spondylitis.

Authors:  Suzanne Arends; Eveline van der Veer; Henk Groen; Pieternella M Houtman; Tim L T A Jansen; Martha K Leijsma; Johan Bijzet; Pieter C Limburg; Cees G M Kallenberg; Anneke Spoorenberg; Elisabeth Brouwer
Journal:  J Rheumatol       Date:  2011-06-01       Impact factor: 4.666

2.  High level of functional dickkopf-1 predicts protection from syndesmophyte formation in patients with ankylosing spondylitis.

Authors:  Gisela Ruiz Heiland; Heiner Appel; Denis Poddubnyy; Jochen Zwerina; Axel Hueber; Hildrun Haibel; Xenofon Baraliakos; Joachim Listing; Martin Rudwaleit; Georg Schett; Joachim Sieper
Journal:  Ann Rheum Dis       Date:  2011-12-20       Impact factor: 19.103

3.  Serum levels of IL-33 is increased in patients with ankylosing spondylitis.

Authors:  Guo-Wei Han; Li-Wen Zeng; Chun-Xiang Liang; Bai-Ling Cheng; Bing-Sheng Yu; Hao-Miao Li; Fang Fang Zeng; Shao-Yu Liu
Journal:  Clin Rheumatol       Date:  2011-10-04       Impact factor: 2.980

4.  Association between Th-17 cytokine profile and clinical features in patients with spondyloarthritis.

Authors:  C Romero-Sanchez; Diego A Jaimes; J Londoño; J De Avila; Jaime E Castellanos; Juan M Bello; W Bautista; R Valle-Oñate
Journal:  Clin Exp Rheumatol       Date:  2011-10-31       Impact factor: 4.473

5.  Increased serum IL-17 and IL-23 in the patient with ankylosing spondylitis.

Authors:  Yang Mei; Faming Pan; Jing Gao; Rui Ge; Zhenhua Duan; Zhen Zeng; Fangfang Liao; Guo Xia; Sheng Wang; Shengqian Xu; Jianhua Xu; Li Zhang; Dongqing Ye
Journal:  Clin Rheumatol       Date:  2010-12-17       Impact factor: 2.980

6.  Increased plasma levels of IL-21 and IL-23 in spondyloarthritis are not associated with clinical and MRI findings.

Authors:  Thomas Andersen; Tue Kruse Rasmussen; Malene Hvid; Christian Kanstrup Holm; Karen Jong-Nyo Berenth Madsen; Anne Grethe Jurik; Marianne Hokland; Kristian Stengaard-Pedersen; Berit Schiøttz-Christensen; Bent Deleuran
Journal:  Rheumatol Int       Date:  2010-11-30       Impact factor: 2.631

7.  ASDAS, BASDAI and different treatment responses and their relation to biomarkers of inflammation, cartilage and bone turnover in patients with axial spondyloarthritis treated with TNFα inhibitors.

Authors:  Susanne Juhl Pedersen; Inge Juul Sørensen; Patrick Garnero; Julia Sidenius Johansen; Ole Rintek Madsen; Niels Tvede; Michael Sejer Hansen; Gorm Thamsborg; Lis Smedegaard Andersen; Ole Majgaard; Anne Gitte Loft; Jon Erlendsson; Karsten Asmussen; Anne Grethe Jurik; Jakob Møller; Maria Hasselquist; Dorrit Mikkelsen; Thomas Skjødt; Robert Lambert; Annette Hansen; Mikkel Østergaard
Journal:  Ann Rheum Dis       Date:  2011-05-08       Impact factor: 19.103

8.  Comparison of a high sensitivity and standard C reactive protein measurement in patients with ankylosing spondylitis and non-radiographic axial spondyloarthritis.

Authors:  D A Poddubnyy; M Rudwaleit; J Listing; J Braun; J Sieper
Journal:  Ann Rheum Dis       Date:  2010-05-24       Impact factor: 19.103

9.  Soluble receptor activator of nuclear factor-kappaB ligand (RANKL) and osteoprotegerin in ankylosing spondylitis: OPG is associated with poor physical mobility and reflects systemic inflammation.

Authors:  Chun-Hsiung Chen; Hung-An Chen; Hsien-Tzung Liao; Chin-Hsiu Liu; Chang-Youh Tsai; Chung-Tei Chou
Journal:  Clin Rheumatol       Date:  2010-08-06       Impact factor: 2.980

10.  ASDAS, a highly discriminatory ASAS-endorsed disease activity score in patients with ankylosing spondylitis.

Authors:  D van der Heijde; E Lie; T K Kvien; J Sieper; F Van den Bosch; J Listing; J Braun; R Landewé
Journal:  Ann Rheum Dis       Date:  2008-12-05       Impact factor: 19.103

View more
  34 in total

Review 1.  Unmet Needs in Axial Spondyloarthritis.

Authors:  Ennio Lubrano; Antonia De Socio; Fabio Massimo Perrotta
Journal:  Clin Rev Allergy Immunol       Date:  2018-12       Impact factor: 8.667

Review 2.  Secukinumab: a promising therapeutic option in spondyloarthritis.

Authors:  Hernan Maldonado-Ficco; Rodolfo Perez-Alamino; José A Maldonado-Cocco
Journal:  Clin Rheumatol       Date:  2016-07-20       Impact factor: 2.980

3.  Serum amino acid metabolic profiles of ankylosing spondylitis by targeted metabolomics analysis.

Authors:  Yong Zhou; Xi Zhang; Rui Chen; Su Han; Yishu Liu; Xuefeng Liu; Ming Gao; Chundong Yang; Daifeng Lu; Beibei Sun; Hao Chen
Journal:  Clin Rheumatol       Date:  2020-03-04       Impact factor: 2.980

4.  Posttraumatic stress disorder and correlates of disease activity among veterans with ankylosing spondylitis.

Authors:  Jean Liew; J Lucas Williams; Steven Dobscha; Jennifer L Barton
Journal:  Rheumatol Int       Date:  2017-08-24       Impact factor: 2.631

Review 5.  Role of Human Leukocyte Antigens (HLA) in Autoimmune Diseases.

Authors:  Gergely Bodis; Victoria Toth; Andreas Schwarting
Journal:  Rheumatol Ther       Date:  2018-03-07

6.  Potential risk factors for reactive arthritis and persistence of symptoms at 2 years: a case-control study with longitudinal follow-up.

Authors:  Helga Raquel Garcia Ferrer; Alexander Azan; Isa Iraheta; Joan Von Feldt; Luis R Espinoza; Julia Manasson; Jose U Scher; Abraham Garcia Kutzbach; Alexis Ogdie
Journal:  Clin Rheumatol       Date:  2017-11-14       Impact factor: 2.980

7.  Serum biomarkers for Modic changes in patients with chronic low back pain.

Authors:  Jaro Karppinen; Katri Koivisto; Jukka Ketola; Marianne Haapea; Markus Paananen; Karl-Heinz Herzig; Mauro Alini; Jeffrey Lotz; Stefan Dudli; Dino Samartzis; Juha Risteli; Marja-Leena Majuri; Harri Alenius; Eero Kyllönen; Jyri Järvinen; Jaakko Niinimäki; Sibylle Grad
Journal:  Eur Spine J       Date:  2021-01-09       Impact factor: 3.134

Review 8.  Activation of mTOR (mechanistic target of rapamycin) in rheumatic diseases.

Authors:  Andras Perl
Journal:  Nat Rev Rheumatol       Date:  2015-12-24       Impact factor: 20.543

9.  Gait as predictor of physical function in axial spondyloarthritis: the prospective longitudinal FOLOMI (Function, Locomotion, Measurement, Inflammation) study protocol.

Authors:  Julie Soulard; Nicolas Vuillerme; Philippe Gaudin; Laurent Grange; Athan Baillet; Jean-Luc Cracowski; Robert Juvin; Jacques Vaillant
Journal:  Rheumatol Int       Date:  2019-08-07       Impact factor: 2.631

10.  I-BET151 inhibits expression of RANKL, OPG, MMP3 and MMP9 in ankylosing spondylitis in vivo and in vitro.

Authors:  Jianping Fan; Jian Zhao; Jie Shao; Xianzhao Wei; Xiaodong Zhu; Ming Li
Journal:  Exp Ther Med       Date:  2017-08-25       Impact factor: 2.447

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.