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. 2024 Sep 24;25(19):10293.
doi: 10.3390/ijms251910293.

DNA Damage in Moderate and Severe COVID-19 Cases: Relation to Demographic, Clinical, and Laboratory Parameters

Affiliations

DNA Damage in Moderate and Severe COVID-19 Cases: Relation to Demographic, Clinical, and Laboratory Parameters

Tigran Harutyunyan et al. Int J Mol Sci. .

Abstract

The ability of the SARS-CoV-2 virus to cause DNA damage in infected humans requires its study as a potential indicator of COVID-19 progression. DNA damage was studied in leukocytes of 65 COVID-19 patients stratified by sex, age, and disease severity in relation to demographic, clinical, and laboratory parameters. In a combined group of COVID-19 patients, DNA damage was shown to be elevated compared to controls (12.44% vs. 5.09%, p < 0.05). Severe cases showed higher DNA damage than moderate cases (14.66% vs. 10.65%, p < 0.05), and males displayed more damage than females (13.45% vs. 8.15%, p < 0.05). DNA damage is also correlated with international normalized ratio (INR) (r = 0.471, p < 0.001) and creatinine (r = 0.326, p < 0.05). In addition to DNA damage, severe COVID-19 is associated with age, C-reactive protein (CRP), and creatinine. Receiver operating characteristic analysis identified age, INR, creatinine, DNA damage, and CRP as significant predictors of disease severity, with cut-off values of 72.50 years, 1.46 s, 78.0 µmol/L, 9.72%, and 50.0 mg/L, respectively. The results show that DNA damage correlates with commonly accepted COVID-19 risk factors. These findings underscore the potential of DNA damage as a biomarker for COVID-19 severity, suggesting its inclusion in prognostic assessments to facilitate early intervention and improve patient outcomes.

Keywords: COVID-19; DNA damage; SARS-CoV-2 virus; comet assay.

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Conflict of interest statement

The authors declare no conflicts of interest. The funders had no role in the design of this study, in the collection, analysis, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

Figures

Figure 1
Figure 1
% DNA in tail in leukocytes of healthy controls and COVID-19 patients. (a) % DNA in tail in leukocytes of control and COVID-19 patient groups. (b) % DNA in tail in leukocytes of male and female subgroups of healthy control and COVID-19 patients. Examples of DNA comets obtained by comet assay in peripheral blood leukocytes of (c) a healthy control subject and (d) a COVID-19 patient. The values are given as means ± SE = standard error. * p < 0.05—significant difference compared to control; a p < 0.05—significant difference compared to control in males; b p < 0.05—significant difference compared to control in females; # p < 0.05—significant difference compared to female patients.
Figure 2
Figure 2
% DNA in tail in leukocytes of male and female patients with moderate and severe COVID-19. (a) % DNA in tail in leukocytes of moderate and severe COVID-19 patient groups. (b) % DNA in tail in leukocytes of male and female subgroups of patients with moderate and severe COVID-19. The values are given as means ± SE. * p < 0.05—significant difference compared to moderate patients; a p < 0.05—significant difference compared to moderate female patients; b p < 0.05—significant difference between severe and moderate female patients.
Figure 3
Figure 3
% DNA in tail in leukocytes of adults (under 65 years) and elderly (65 years or older) patients with moderate and severe COVID-19. The values are given as means ± SE. a p < 0.05—significant difference compared to moderate patients under 65 years; b p < 0.05—significant difference compared to moderate patients over 65 years.
Figure 4
Figure 4
ROC curve analyses for distinguishing moderate from severe groups of COVID-19. ROC curves and AUC values for the (a) total group of patients, (b) male and (c) female patients, (d) under 65-year-old, and (e) over 65-year-old patients. Figures were obtained using SRplot [available at: http://www.bioinformatics.com.cn/srplot (accessed on 5 August 2024)].

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