PREDICTIVE BIOMARKERS FOR THE DIAGNOSIS OF DIFFERENT CLINICAL FORMS OF CARDIOVASCULAR DISEASE

Authors

  • CYRILLE A. VODOUNON, LILYA A. GANEEVA,SERGEY N. ABRAMOV,BORIS B. LEGBA, YULIA VALEREVNA SKIBO, ZINAIDA I. ABRAMOVA Author

DOI:

https://doi.org/10.48047/

Keywords:

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Abstract

Cardiovascular disease is a major health problem worldwide. One of the current challenges related to its prevention is that of early diagnosis and prognosis. This study focuses on the role of anti-DNA antibody in the diagnosis of different clinical forms of cardiovascular diseases. Anti-DNA antibodies were searched in the blood serum of 57 patients with cardiovascular disease of various forms and 27 relatively healthy donors. The determination of the level of anti-DNA antibodies was conducted by enzyme immunoassay. The catalytic activity of the antibodies was studied and the product was estimated by the agarose gel electrophoresis method. The results showed that the level of anti-DNA antibodies in patients with cardiovascular disease is significantly high compared to the level of the anti-DNA antibodies of found in DRS serum. A high level of antibody to double stranded DNA was observed in 70.70% of patients with cardiovascular diseases. The results of correlational analysis showed a direct feature dependency relationship between the antibody to double stranded DNA level and the antibody to single stranded DNA level with a correlation coefficient Rs=0.65 reaching a significant level, as the test value of the statistics (6.5) exceeded its tabular value (2.0). The anti-DNA antibodies found in the serum of the different groups of patients of cardiovascular diseases exhibit catalytic activities and are able to transform the super-coiled DNA of plasmids into linear and circular DNA. There is an inverse dependence relationship between the level of antibody and the catalytic activity rate. The results obtained lead us to suggest that the antiDNA antibodies play a significant role in the etiology of different form of cardiovascular disease and could be used as a biomarker in the diagnosis and the prognosis of the different form of this disease

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Author Biography

  • CYRILLE A. VODOUNON, LILYA A. GANEEVA,SERGEY N. ABRAMOV,BORIS B. LEGBA, YULIA VALEREVNA SKIBO, ZINAIDA I. ABRAMOVA

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Published

2024-10-20