Clusters in Pediatric Rheumatic Diseases

Sag E., Demir S., ÖZEN S.

CURRENT RHEUMATOLOGY REPORTS, cilt.22, sa.7, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 22 Sayı: 7
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1007/s11926-020-00908-5
  • Dergi Adı: CURRENT RHEUMATOLOGY REPORTS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, EMBASE, MEDLINE, Veterinary Science Database
  • Anahtar Kelimeler: Clusters, SLE, Behcet, Adenosine deaminase 2 deficiency, ANCA-associated vasculitis, SYSTEMIC-LUPUS-ERYTHEMATOSUS, GENOME-WIDE ASSOCIATION, ADENOSINE-DEAMINASE 2, BEHCETS-DISEASE, ANTIPHOSPHOLIPID ANTIBODIES, CLASSIFICATION CRITERIA, FAMILIAL AGGREGATION, CLINICAL-FEATURES, VENOUS THROMBOSIS, LONG-TERM
  • Eskişehir Osmangazi Üniversitesi Adresli: Hayır

Özet

Purpose of the Review Rheumatic diseases usually have very diverse and complex pathophysiology resulting in different clinical phenotypes. Some certain phenotypes cluster together with a common presentation, course, and outcome. Our primary aim is to review the known disease clusters in certain rheumatological conditions. Recent Findings Cluster analysis has been reported in several rheumatic diseases, Behcet disease being the most common. Five individual clusters together with some clinical associations have been reported in Behcet patients. Certain antibody-phenotype associations and damage clusters have been reported in systemic lupus erythematosus (SLE) patients as well. Although there is no proper cluster analysis, two distinct phenotypes are evident in deficiency of ADA2 (DADA2): those with a polyarteritis nodosa-like vasculopathy and hematological involvement with pure red cell aplasia or bone marrow failure. The variants are claimed to be different regions of this gene for these 2 phenotypes. Lastly, there is a recent paper grouping ANCA-associated vasculitis according to disease phenotype and antibody associations. There are distinct clusters in certain rheumatic diseases which might help us to predict comorbidities, disease course, and treatment response.