Abstract

Background: Systemic sclerosis (SSc) is a chronic autoimmune illness, which is consider by three main features: Sclerotic changes in the skin and internal organs, Vasculopathy of small blood vessels, Particular autoantibodies (1). The most important autoantibodies appeared significantly in SSc patients are anti-topoisomerase I autoantibody (Scl-70), anti-centromere autoantibody (ACA), and anti-RNA polymerase III autoantibody (RNAP3) (2). Anti-centromere antibodies (ACA) are infrequent in rheumatic conditions and in healthy persons but occur commonly in limited systemic sclerosis (CREST syndrome), and rarely appeared in the diffuse form of systemic sclerosis (3). Anti-Ro/SSA and antiLa/SSB, antibodies directed against Ro/La ribonucleoprotein complexes, can serve as a diagnostic hallmark of autoimmune disease specially Sjogren’s syndrome (4). Materials and methods: This study was carried out during the period from the middle of November 2015 until the end of November 2016 in Baghdad city. The sample of this study was divided into two groups : Forty systemic sclerosis patients: Those patients were treated at Rheumatology department in Baghdad teaching hospital in Baghdad city as well as Forty healthy control subjects, age matched with no signs and symptoms of any systemic diseases. Results: The serum anti-SSA in SSc patient was significant increased as well as the salivary anti-SSA in SSc patient was highly significantly increased than in the control subjects by using t-test. The present study found that there no statically difference in salivary ACA, anti-SSB and serum anti-SSB while serum ACA was significantly increased. Conclusions: autoantibodies play a role in pathogenesis of SSc patients represented by increased serum (ACA and anti-SSA) that it considered reliable indicator for SSc patients while unpredicted marker in saliva except anti-SSA. Anti-La/SSB is unreliable marker in both serum and saliva SSc patients. The presence of Anti-Ro/SSA antibodies in serum and saliva of SSc patient has been predictive marker for SSc overlapped Sjogren’s syndrome.

Highlights

  • Systemic sclerosis (SSc) is a chronic multiorgan complex autoimmune disease that causing the own tissue strike dawn by body’s immune system; SSc was classified into two main types, according to the extent of skin involvement [5]. 1

  • Raynaud phenomenon (RP) is a feature included in SSc criteria if distinguished from other disease associated with RP, but because SSc without RP is so infrequent, RP increased statistical value to these criteria [7]

  • This study carried out during the period from the middle of November 2015 until the end of November 2016 in Baghdad city, the sample of this study divided into two groups: 1- Forty systemic sclerosis patients: Those patients treated at Rheumatology department in Bagdad teaching hospital in Baghdad city. 2- Forty healthy control subjects, age matched with no signs and symptoms of any systemic diseases

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Summary

Introduction

Systemic sclerosis (SSc) is a chronic multiorgan complex autoimmune disease that causing the own tissue strike dawn by body’s immune system; SSc was classified into two main types, according to the extent of skin involvement [5]. 1. Systemic sclerosis (SSc) is a chronic autoimmune illness, which is consider by three main features: Sclerotic changes in the skin and internal organs, Vasculopathy of small blood vessels, Particular autoantibodies [1]. Anti-centromere antibodies (ACA) are infrequent in rheumatic conditions and in healthy persons but occur commonly in limited systemic sclerosis (CREST syndrome), and rarely appeared in the diffuse form of systemic sclerosis [3]. Conclusions: autoantibodies play a role in pathogenesis of SSc patients represented by increased serum (ACA and anti-SSA) that it considered reliable indicator for SSc patients while unpredicted marker in saliva except anti-SSA. The presence of Anti-Ro/SSA antibodies in serum and saliva of SSc patient has been predictive marker for SSc overlapped Sjogren’s syndrome. ACA, anti-SSA and anti-SSB. . (J Bagh Coll Dentistry 2018; 30(3): 17-20)

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