Analysis of the nuclear spectrum and karyotype charaeteristics of subjects with antinuclear antibody

ObjectiveTo investigate the positive detection rate, karyotype and distribution characteristics of antinuclear antibody(ANA) positive spectrum of ANA in different populations.

MethodsThe laboratory results of ANA in 331 subjects were collected, and the positive rate, karyotype and distribution characteristics of ANA positive spectrum were analyzed.

ResultsThe detection rate of ANA-positive and high-titer in female was higher than that in male, and the highest detection rate appeared in people aged 40-60 years.The positive detection rate of different ANA karyotypes in female was higher than that in male.The karyotypes of subjects at different ages were main nuclear granule type and cytoplasmic granule type.The positive rates of anti-scleroderma 70 and anti-Smith in male were slightly higher than those in female, and the positive rates of other ANA spectra in female were higher than those in male.The top three positive rates of ANA spectrum in female were as follows: anti-SS A, anti-centromeric protein B and anti-dsDNA antibody/anti-SS B.The positive antibodies of ANA spectrum in different age groups were slightly different, which mainly concluded anti-SS A and anti-Smith.The detection rates of ANA in autoimmune diseases ankylosing spondylitis, rheumatoid arthritis, systemic lupus erythematosus and Sjogren′s syndrome were 36.0%, 60.3%, 91.7% and 100.0%, respectively, while the detection rates of ANA among infected and healthy people were 29.4% and 14.6%.As for ANA spectrum, no specific antibodies were found in ankylosing spondylitis, rheumatoid arthritis, infected and healthy people.Anti-SS A, anti-dsDNA antibody and anti-nucleosomes showed high positive detection rates in systemic lupus erythematosus, and anti-ribonucleoprotein/anti-Smith, anti-SS A, anti-SS B and anti-PM-Scl had high positive detection rates in Sjogren′s syndrome.

ConclusionsANA karyotype and antibody spectrum have different manifestations in populations with different gender, age and diseases, among which infected and healthy people have a higher positive rate, which suggests that attention should be paid to in clinical differential diagnosis.