1887
Volume 2022 Number 3
  • ISSN: 1999-7086
  • EISSN: 1999-7094

Abstract

On January 30, 2020, the World Health Organization (WHO) declared the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, also called coronavirus disease 2019 (COVID-19) a pandemic after its emergence in Wuhan, China, in December 2019. In this study, we aimed to evaluate the potential of interleukin-6 (IL-6) and D-dimer serum levels and genotypes of rs5186 (A1166C) in the gene as potential prognostic markers for COVID-19 disease outcome in Iraq. This cross-sectional study was conducted with 100 Iraqi adults of both sexes, aged 21–81 years, and recently diagnosed with COVID-19. The participants of this study were admitted to Al-Al-Kindy Teaching Hospital and Ibn Al-Qiph in Baghdad City from February 01, 2020, to May 01, 2020. Patients with COVID-19 were divided into two categories; those who recovered and were discharged and those who were admitted to the intensive care unit (ICU)/died. Ethical concerns were considered in accordance with the consent form provided by the Iraqi Ministry of Health for the purpose of collecting samples. Interleukin-6 (IL-6) levels in the patients’ serum samples were estimated using the Sandwich-Enzyme Linked Sorbent Assay (ELISA) method with horseradish peroxidase (HRP) conjugated antibody specific for IL-6. D-dimer was estimated in the serum samples using antigen-antibody (anti-human D-dimer antibodies) reaction. Genotyping of rs5186 (A1166C) in the angiotensin II receptor type 1 gene in the cohort study was determined using an allele-specific PCR approach. D-dimer serum levels (1.55 μg/mL) was significantly ( <  0.001) higher in patients admitted to the ICU or those who died compared with those (0.2 μg/mL) of patients who recovered and were discharged. The IL-6 levels in patients admitted to the ICU or those who died and in patients who recovered and were discharged were 12.31 and 11.65 pg/mL, respectively, without significant difference ( > 0.05). The frequency of AC+CC genotypes of rs5186 (A1166C) in the in patients who were admitted to the ICU or those who died was 30.43%, higher than that of patients who recovered and were discharged (11.69%) with a significant difference (Odds ratio [OR] = 3.31, 95% confidence interval [CI] = 1.07–10.21,  = 0.038). Analysis of allele distribution revealed a higher frequency of the A allele among patients who recovered and were discharged (93.51% versus 82.61%) than among those who were admitted to the ICU or those who died with a significant difference (OR = 3.03, 95% CI = 1.12–8.21,  = 0.029). D-dimer may be a prognostic biomarker for poor COVID-19 disease outcomes. The genotype AC+CC of rs5186 (A1166C) in the seems to be a risk factor and may be a prognostic factor for poor COVID-19 disease outcomes. However, a bigger sample size is highly recommended in prospective studies for better assessment of the potential of IL-6, D-dimer, and genotyping of rs5186 (A1166C) in the gene as prognostic biomarkers for COVID-19 disease outcome.

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2022-06-16
2024-04-24
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References

  1. Zhou P, Yang X-L, Wang X-G, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020;:579:270–3. PMID:32015507.
    [Google Scholar]
  2. Guan W-J, Ni Z-Y, Hu Y, Liang W-H, Ou C-Q, He J-X, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;:382:1708–20. PMID:32109013.
    [Google Scholar]
  3. Wool GD, Miller JL. The impact of COVID-19 disease on platelets and coagulation. Pathobiology. 2021;:88:15–27.
    [Google Scholar]
  4. Querol-Ribelles JM, Tenias JM, Grau E, Querol-Borras JM, Climent JL, Gomez E, et al. Plasma d-dimer levels correlate with outcomes in patients with community-acquired pneumonia. Chest. 2004;:126:1087–92. PMID:15486368.
    [Google Scholar]
  5. Yao Y, Cao J, Wang Q, Shi Q, Liu K, Luo Z, et al. D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study. J Intensive Care. 2020;:8:49. PMID:32665858.
    [Google Scholar]
  6. Fragkou PC, Belhadi D, Peiffer-Smadja N, Moschopoulos CD, Lescure FX, Janocha H, et al. Review of trials currently testing treatment and prevention of COVID-19. Clin Microbiol Infect. 2020;:26:988–98.
    [Google Scholar]
  7. Harrison C. Focus shifts to antibody cocktails for COVID-19 cytokine storm. Nat Biotechnol. 2020;:38:905–8. doi: 10.1038/s41587-020-0634-9..
    [Google Scholar]
  8. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;:395:497–506. PMID:31986264.
    [Google Scholar]
  9. Ye Q, Wang B, Mao J. The pathogenesis and treatment of the ‘cytokine storm’ in COVID-19. J Infect. 2020;:80:607–13.
    [Google Scholar]
  10. Rocio LG, Alberto UR, Paloma T, Maria LL, Angel RF, Laura N, et al. Interleukin-6-based mortality risk model for hospitalised COVID-19 patients. J Allergy Clin Immunol. 2020;:146:799–807.
    [Google Scholar]
  11. Izmailova O, Shlykova O, Vatsenko A, Ivashchenko D, Dudchenko M, Koval T, Kaidashev I. Allele ? (rs5186) of at1r is associated with the severity of COVID-19 in the Ukrainian population. Infection, Genetics and Evolution. 2022;:98:105227. doi: 10.1016/j.meegid.2022.105227..
    [Google Scholar]
  12. Alexandre J, Cracowski J-L, Richard V, Bouhanick B, Drugs, COVID-19’ working group of the French Society of Pharmacology, Therapeutics. Renin-angiotensin-aldosterone system and COVID-19 infection. Ann. Endocrinol (Paris). 2020; 81:(2–3):63–7, doi: 10.1016/j.ando.2020.04.005..
    [Google Scholar]
  13. Li XC, Zhang J, Zhuo JL. The vasoprotective axes of the renin-angiotensin system: Physiological relevance and therapeutic implications in cardiovascular, hypertensive and kidney diseases. Pharmacol Res. 2017; 125:(Pt A):21–38.
    [Google Scholar]
  14. McLachlan CS. The angiotensin-converting enzyme 2 (ACE2) receptor in the prevention and treatment of COVID-19 are distinctly different paradigms. Clin Hypertens. 2020;:26:14.
    [Google Scholar]
  15. Choi HG, Wee JH, Kim SY, Kim J-H, Il Kim H, Park J-Y, et al. Association between asthma and clinical mortality/morbidity in COVID-19 patients using clinical epidemiologic data from Korean Disease Control and Prevention. Allergy. 2021: 76:(3):921–4.
    [Google Scholar]
  16. Borobia AM, Carcas AJ, Arnalich F, Álvarez-Sala R, Monserrat Villatoro J, Quintana M, et al. A cohort of patients with COVID-19 in a major teaching hospital in Europe. J Clin Med. 2020;:9:1–10.
    [Google Scholar]
  17. Poudel A, Poudel Y, Adhikari A, Aryal BB, Dangol D, Bajracharya T, et al. D-dimer as a biomarker for assessment of COVID-19 prognosis: D-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with COVID-19. PLoS ONE. 2021; 16:(8):e0256744.
    [Google Scholar]
  18. [18] Zhang L, Yan X, Fan Q, et al. D-dimer levels on admission to predict in-hospital mortality in patients with Covid-19. J Thromb Haemost. 2020; 18:(6):1324–9.
    [Google Scholar]
  19. Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al., China Medical Treatment Expert Group for C. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;:382:1708–20. doi: 10.1056/NEJMoa2002032..
    [Google Scholar]
  20. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;:395:1054–62.
    [Google Scholar]
  21. Naymagon L, Zubizarreta N, Feld J, van Gerwen M, Alsen M, Thibaud S, et al. Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19. Thromb Res. 2020;:196:99–105. PMID:32853982.
    [Google Scholar]
  22. Levi M, van der Poll T. Coagulation and sepsis. Thromb Res. 2017;:149:38–44.
    [Google Scholar]
  23. Gupta N, Zhao YY, Evans CE. The stimulation of thrombosis by hypoxia. Thromb Res. 2019;:181:77–83.
    [Google Scholar]
  24. Barbar S, Noventa F, Rossetto V, Ferrari A, Brandolin B, Perlati M, et al. A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score. J Thromb Haemost. 2010;:8:2450–7.
    [Google Scholar]
  25. Han H, Ma Q, Li C, Liu R, Zhao L, Wang W, et al. Profiling serum cytokines in COVID-19 patients reveals IL-6 and IL-10 are disease severity predictors. Emerg Microbes Infect. 2020;:9:1123–30.
    [Google Scholar]
  26. Santa Cruz A, Mendes-Frias A, Oliveira AI, Dias L, Matos AR, Carvalho A, et al. Interleukin-6 is a biomarker for the development of fatal severe acute respiratory syndrome coronavirus 2 pneumonia. Front Immunol. 2021;:12:613422. doi: 10.3389/fimmu.2021.613422..
    [Google Scholar]
  27. Files DC, Gibbs KW, Schaich CL, Collins SP, Gwathmey TM, Casey JD, et al. A pilot study to assess the circulating renin-angiotensin system in COVID-19 acute respiratory failure. Am J Phys Lung Cell Mol Phys. 2021; 321:(1):L213–L218.
    [Google Scholar]
  28. Kaidashev I, Shlykova O, Izmailova O, Torubara O, Yushchenko Ya, Tyshkovska T, et al. Host gene variability and SARS-CoV-2 infection: A review article. Heliyon. 2021; 7:(8):e07863.
    [Google Scholar]
  29. Haas U, Sczakiel G, Laufer SD. MicroRNA-mediated regulation of gene expression is affected by disease-associated SNPs within the 3’-UTR via altered RNA structure. RNA Biol. 2012; 9:(6):924–37.
    [Google Scholar]
  30. Martin MM, Buckenberger JA, Jiang J, Malana GE, Nuovo GJ, Chotani M, et al. The human angiotensin II type 1 receptor +1166 A/C polymorphism attenuates microRNA-155 binding. J Biol Chem. 2007; 282:(33):24262–9.
    [Google Scholar]
  31. Ceolotto G, Papparella I, Bortoluzzi A, Strapazzon G, Ragazzo F, Bratti P, et al. Interplay between miR-155, AT1R A1166C polymorphism, and AT1R expression in young untreated hypertensives. Am J Hypertens. 2011; 24:(2):241–6.
    [Google Scholar]
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  • Article Type: Research Article
Keyword(s): COVID-19D-dimer; rs5186 (A1166C) in AGTR1 gene and interleukin-6
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