Can HLA-G predict disease course in rheumatoid arthritis patients?. (December 2013)
- Record Type:
- Journal Article
- Title:
- Can HLA-G predict disease course in rheumatoid arthritis patients?. (December 2013)
- Main Title:
- Can HLA-G predict disease course in rheumatoid arthritis patients?
- Authors:
- Rizzo, Roberta
Bortolotti, Daria
Baricordi, Olavio R
Farina, Ilaria
Padovan, Melissa
Govoni, Marcello - Abstract:
- Rheumatoid arthritis remains a major clinical problem, with many patients having persistent systemic inflammatory disease, resulting in progressive erosive joint damage and high levels of disability. The goal of rheumatoid arthritis therapy has shifted to initiate treatment early and aggressively to achieve remission, or low disease activity as quickly as possible. To achieve this 'treat-to-target' concept, it is necessary to identify new biomarkers for disease progression and treatment follow-up, and to identify new therapeutic targets. The focus of this review is to summarize current research regarding the expression of HLA-G molecules in rheumatoid arthritis and the possible implications for the future management of the disease.
- Is Part Of:
- International journal of clinical rheumatology. Volume 8:Number 6(2013)
- Journal:
- International journal of clinical rheumatology
- Issue:
- Volume 8:Number 6(2013)
- Issue Display:
- Volume 8, Issue 6 (2013)
- Year:
- 2013
- Volume:
- 8
- Issue:
- 6
- Issue Sort Value:
- 2013-0008-0006-0000
- Page Start:
- 627
- Page End:
- 638
- Publication Date:
- 2013-12
- Subjects:
- biomarker -- disease-modifying antirheumatic drugs -- early arthrtitis -- HLA-G -- rheumatoid arthritis
Rheumatology -- Periodicals
616.723005 - Journal URLs:
- https://www.openaccessjournals.com/journals/clinical-rheumatology-archive.html ↗
http://www.futuremedicine.com/loi/ijr ↗ - DOI:
- 10.2217/ijr.13.61 ↗
- Languages:
- English
- ISSNs:
- 1758-4272
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.172168
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- 17984.xml