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Circulating cell-free DNA, peripheral lymphocyte subsets alterations and neutrophil lymphocyte ratio in assessment of COVID-19 severity
Author(s) -
Reham Hammad,
Mona A. Eldosoky,
Shaimaa Fouad,
Abd-Elaleem Abd-Elaleem Elgendy,
Amany M Tawfeik,
Mohamed Alboraie,
Mariam Fathy Abdelmaksoud
Publication year - 2021
Publication title -
innate immunity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.921
H-Index - 69
eISSN - 1753-4267
pISSN - 1753-4259
DOI - 10.1177/1753425921995577
Subject(s) - lymphocyte , cell free fetal dna , flow cytometry , medicine , immunology , covid-19 , peripheral blood lymphocyte , gastroenterology , biology , genetics , disease , pregnancy , fetus , prenatal diagnosis , infectious disease (medical specialty)
Cell destruction results in plasma accumulation of cell-free DNA (cfDNA). Dynamic changes in circulating lymphocytes are features of COVID-19. We aimed to investigate if cfDNA level can serve in stratification of COVID-19 patients, and if cfDNA level is associated with alterations in lymphocyte subsets and neutrophil-to-lymphocyte ratio (NLR). This cross-sectional comparative study enrolled 64 SARS-CoV-2-positive patients. Patients were subdivided to severe and non-severe groups. Plasma cfDNA concentration was determined by real-time quantitative PCR. Lymphocyte subsets were assessed by flow cytometry. There was significant increase in cfDNA among severe cases when compared with non-severe cases. cfDNA showed positive correlation with NLR and inverse correlation with T cell percentage. cfDNA positively correlated with ferritin and C-reactive protein. The output data of performed ROC curves to differentiate severe from non-severe cases revealed that cfDNA at cut-off ≥17.31 ng/µl and AUC of 0.96 yielded (93%) sensitivity and (73%) specificity. In summary, excessive release of cfDNA can serve as sensitive COVID-19 severity predictor. There is an association between cfDNA up-regulation and NLR up-regulation and T cell percentage down-regulation. cfDNA level can be used in stratification and personalized monitoring strategies in COVID-19 patients.

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