Laboratory Medicine ›› 2018, Vol. 33 ›› Issue (7): 604-607.DOI: 10.3969/j.issn.1673-8640.2018.07.006

• Orginal Article • Previous Articles     Next Articles

Cluster analysis of serum anti-nuclear antibody profile in 164 subjects with nuclear speckled pattern

LUO Wenbin, WANG Yekai, YU Qian, LIN Qilong()   

  1. Clinical Laboratory Center,Zhoushan Hospital,Zhoushan 316000,Zhejiang,China
  • Received:2017-08-05 Online:2018-07-30 Published:2018-07-27

Abstract:

Objective To analyze the difference of anti-nuclear antibody (ANA) in subjects with nuclear speckled pattern by cluster analysis. Methods Serum samples were collected from 164 subjects with nuclear speckled pattern. Indirect immunofluorescence (IIF) and immunoblotting were used to determine ANA and ANA profile. Anti-cyclic citrullinated peptide (CCP)antibody,liver function,renal function,rheumatoid factor (RF),immunoglobulin,complement and routine blood test indicators were determined. Results The 164 subjects with nuclear speckled pattern were classified,and 3 clusters were identified by cluster analysis. Cluster A (120 cases) was characterized by high positive rates of antibodies against SS-A,Ro-52 and SS-B. Cluster B (21 cases) was characterized by a high positive rate of antibody against U1-RNP. Cluster C (23 cases) was characterized by high positive rates of antibodies against Sm,ribosome P protein, double-stranded DNA(ds-DNA), nucleosome and histone. The positive rate of anti-CCP antibody of Cluster B was higher than those of Cluster A and Cluster C (P<0.01). Cluster C had higher levels of creatinine(Cr),immunoglobulin G (IgG) and globulin (GLB),and Cluster C had lower level of white blood cell (WBC) than those of Cluster A and Cluster B (P<0.01). Conclusions The study on cluster patterns of serum ANA profile in nuclear speckled pattern positive subjects is helpful for improving the determination rate of autoimmune diseases(AID) and timely-symptomatic treatment.

Key words: Anti-nuclear antibody, Speckled pattern, Cluster analysis

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