Genetic pattern of the COVID-19 course and reinfection

Cover Page


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

A new coronavirus infection (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) broke out at the end of 2019 in Wuhan (China). The disease has become a global pandemic and claimed more than 6 million lives after spreading rapidly around the world. Issues related to the complicated course of COVID-19 mechanisms continue to be the subject of active study. It is known that morbidity and mortality increase dramatically with increasing age and concomitant diseases, including obesity, diabetes, cancer, and cardiovascular diseases. Although most infected people recover, even young and otherwise healthy patients can get sick with this disease. In this regard, an urgent task is to search for specific genetic factors that can explain the predisposition of people to infection and the development of a severe COVID-19 form. Human genetic determinants can provide the scientific basis for disease prediction and the development of personalized therapies to counteract the epidemic. In addition, cases of repeated infection with SARS-CoV-2 are increasingly being registered, which occurs 1–6 months after initial infection on average and depends on the virus genome structure. Studies conducted on sequencing viral genomes have shown that some patients were re-infected with the same strain of coronavirus, while others were different. This, in turn, causes researchers concerns about the effectiveness of immunity after infection and vaccine reliability. The genetic characteristics of a person and a virus commonly determine the tendency for reinfection. It is difficult to determine the true COVID-19 reinfection prevalence, which is explained by the low detectability of asymptomatic reinfection and the fact that many patients with a mild course of the disease were not tested at an early stage of the pandemic. Therefore, the true prevalence of reinfection with COVID-19 does not reflect the current reality. There are many more cases of reinfection than are described in the literature. In this regard, the true contribution of a virus’ genetic features to reinfection of COVID-19 can be determined only after population studies, and when developing immunization programs against a COVID-19, it is necessary to take into account the prevalence of reinfection in the population.

Full Text

Restricted Access

About the authors

Olga V. Krusko

Military Innovative Technopolis «ERA»

Email: panarinaolya08@mail.ru
ORCID iD: 0000-0001-9111-7914
SPIN-code: 4702-6002

Candidate of Biological Sciences

Russian Federation, Anapa

Evgenia A. Novikova

Scientific Centre for Family Health and Human Reproduction Problems

Author for correspondence.
Email: europe411@mail.ru
ORCID iD: 0000-0002-9353-7928
SPIN-code: 8473-7941

Research Assistant

Russian Federation, Irkutsk

Pyotr K. Potapov

Military Innovative Technopolis «ERA»

Email: forwardspb@mail.ru
SPIN-code: 5979-4490

Candidate of Medical Sciences

Russian Federation, Anapa

Alla G. Petrova

Scientific Centre for Family Health and Human Reproduction Problems

Email: rudial75@gmail.com
ORCID iD: 0000-0002-7965-8061
SPIN-code: 3962-5093

Doctor of Medical Sciences, Professor

Russian Federation, Irkutsk

References

  1. Zaykovskaya AV, Gladysheva AV, Kartashov MYu, et al. In vitro study of biological properties of SARS-CoV-2 coronavirus strains related to various genetic variants. Problems of Particularly Dangerous Infections. 2022;(1):94–100. (In Russ.). doi: 10.21055/0370-1069-2022-1-94-100
  2. Moskalev AV, Gumilevskiy BY, Apchel VY, Cygan VN. Old new coronavirus. Bulletin of the Russian Military Medical Academy. 2020;22(2):182–188. (In Russ.). doi: 10.17816/brmma50070
  3. Zhou F, Yu T, Du R, 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(10229):1054–1062. doi: 10.1016/S0140-6736(20)30566-3
  4. Li X, Xu S, Yu M, et al. Risk factors for severity and mortality in adult COVID-19 inpatients in Wuhan. J Allergy Clin Immunol. 2020;146(1):110–118. doi: 10.1016/j.jaci.2020.04.006
  5. Ellinghaus D, Degenhardt F, Bujanda L, et al. Genomewide association study of severe with respiratory failure. N Eng J Med. 2020;383(16):1522–1534. doi: 10.1056/NEJMoa2020283
  6. Orlova EA, Ogarkov OB, Khromova PA, et al. SNP rs657152 is not associated with the level of viral load in COVID-19 or the probability of disease in the population of Caucasians in Eastern Siberia. Russ J Genet. 2021;57(8):982–984. doi: 10.1134/S1022795421080093
  7. Pairo-Castineira E, Clohisey S, Klaric L, et al. Genetic mechanisms of critical illness in COVID-19. Nature. 2021;591:92–98. doi: 10.1038/s41586-020-03065-y
  8. Fink-Baldauf IM, Stuart WD, Brewington JJ, et al. CRISPRi links COVID-19 GWAS loci to LZTFL1 and RAVER1. EBioMedicine. 2022;75:103806. doi: 10.1016/j.ebiom.2021.103806
  9. COVID-19 Host Genetics Initiative. Mapping the human genetic architecture of COVID-19. Nature. 2021;600(7889):472–477. doi: 10.1038/s41586-021-03767-x
  10. Chamnanphon M, Pongpanich M, Suttichet TB, et al. Host genetic factors of COVID-19 susceptibility and disease severity in a Thai population. J Hum Genet. 2022;67(5):295–301. doi: 10.1038/s10038-021-01009-6
  11. Kwok AJ, Mentzer A, Knight JC. Host genetics and infectious disease: new tools, insights and translational opportunities. Nature reviews. Genetics. 2021;22(3):137–153. doi: 10.1038/s41576-020-00297-6
  12. Novelli A, Andreani M, Biancolella M, et al. HLA allele frequencies and susceptibility to COVID-19 in a group of 99 Italian patients. Human leukocyte antigens. 2020;96(5):610–614. doi: 10.1111/tan.14047
  13. Nguyen A, David JK, Maden SK, et al. Human leukocyte antigen susceptibility map for severe acute respiratory syndrome coronavirus 2. J Virol. 2020;94(13):e00510–e00520. doi: 10.1128/JVI.00510-20
  14. Pretti MAM, Galvani RG, Vieira GF, et al. Class I HLA allele predicted restricted antigenic coverages for spike and nucleocapsid proteins are associated with deaths related to COVID-19. Front Immunol. 2020;11:565730. doi: 10.3389/fimmu.2020.565730
  15. Mohammadpour S, Torshizi Esfahani A, Halaji M, et al. An updated review of the association of host genetic factors with susceptibility and resistance to COVID-19. J Cell Physiol. 2021;236(1):49–54. doi: 10.1002/jcp.29868
  16. Shkurnikov M, Nersisyan S, Jankevic T, et al. Association of HLA class I genotypes with severity of coronavirus disease-19. Front Immunol. 2021;12:641900. doi: 10.3389/fimmu.2021.641900
  17. Debnath M, Banerjee M, Berk M. Genetic gateways to COVID-19 infection: Implications for risk, severity, and outcomes. FASEB J. 2020;34(7):8787–8795. doi: 10.1096/fj.202001115R
  18. Kiyotani K, Toyoshima Y, Nemoto K, Nakamura Y. Bioinformatic prediction of potential T cell epitopes for SARS-Cov-2. J Hum Genet. 2020;65(7):569–575. doi: 10.1038/s10038-020-0771-5
  19. Hou Y, Zhao J, Martin W, et al. New insights into genetic susceptibility of COVID-19: an ACE2 and TMPRSS2 polymorphism analysis. BMC medicine. 2020;18:216. doi: 10.1186/s12916-020-01673-z
  20. Senapati S, Kumar S, Singh AK, et al. Assessment of risk conferred by coding and regulatory variations of TMPRSS2 and CD26 in susceptibility to SARS-CoV-2 infection in human. J Genet. 2020;99(1):53. doi: 10.1007/s12041-020-01217-7
  21. Saad H, Jabotian K, Sakr C, et al. The role of angiotensin converting enzyme 1 insertion/deletion genetic polymorphism in the risk and severity of COVID-19 infection. Front Med (Lausanne). 2021;8:798571. doi: 10.3389/fmed.2021.798571
  22. Irham LM, Chou W-H, Calkins MJ, et al. Genetic variants that influence SARS-CoV-2 receptor TMPRSS2 expression among population cohorts from multiple continents. Biochem Biophys Res Commun. 2020;529(2):263–269. doi: 10.1016/j.bbrc.2020.05.179
  23. Shikov AE, Barbitoff YA, Glotov AS, et al. Analysis of the spectrum of ACE2 variation suggests a possible influence of rare and common variants on susceptibility to COVID-19 and Severity of outcome. Front Genet. 2020;11:551220. doi: 10.3389/fgene.2020.551220
  24. Cui C, Huang C, Zhou W, et al. AGTR2, one possible novel key gene for the entry of SARS-CoV-2 into human cells. IEEE/ACM Trans Comput Biol Bioinform. 2021;18(4):1230–1233. doi: 10.1109/TCBB.2020.3009099
  25. Bullerdiek J. COVID-19 challenging cell biology. Protoplasma. 2020;257(3):619–620. doi: 10.1007/s00709-020-01506-z
  26. Andolfo I, Russo R, Lasorsa VA, et al. Common variants at 21q22.3 locus influence MX1 and TMPRSS2 gene expression and susceptibility to severe COVID-19. iScience. 2021;24(4):103322. doi: 10.1016/j.isci.2021.102322
  27. Moskalev AV, Gumilevsky BY, Apchel AV, Tsygan VN. Modern view on the role of pattern-recognition receptors and signaling pathways in the development of innate immunity in viral infections. Bulletin of the Russian Military Medical Academy. 2022;24(2):381–389. (In Russ.). doi: 10.17816/brmma91018
  28. Made CI, Simons A, Schuurs-Hoeijmakers J, et al. Presence of genetic variants among young men with severe COVID-19. JAMA. 2020;324(7):663–673. doi: 10.1001/jama.2020.13719
  29. Zhao X, Sehgal M, Hou Z, et al. Identification of residues controlling restriction versus enhancing activities of IFITM proteins on entry of human coronaviruses. J Virol. 2018;92(6):e01535–e01517. doi: 10.1128/JVI.01535-17
  30. Zhang Y, Qin L, Zhao Y, et al. Interferon-induced transmembrane protein-3 genetic variant rs12252-C is associated with disease severity in COVID-19. J Infect Dis. 2020;222(1):34–37. doi: 10.1093/infdis/jiaa224
  31. Kim YC, Jeong BH. Strong correlation between the case fatality rate of COVID-19 and the rs6598045 single nucleotide polymorphism (SNP) of the interferon-induced transmembrane protein 3 (IFITM3) gene at the population-level. Genes (Basel). 2020;12(1):42. doi: 10.3390/genes12010042
  32. Fricke-Galindo I, Falfán-Valencia R. Genetics insight for COVID-19 susceptibility and severity: a review. Front Immunol. 2021;12:622176. doi: 10.3389/fimmu.2021.622176
  33. Shishimorov IN, Magnitskaya OV, Ponomareva YuV. Genetic predictors of severity and efficacy of COVID-19 pharmacotherapy. Pharmacy and Pharmacology. 2021;9(3):174–184. (In Russ.). doi: 10.19163/2307-9266-2021-9-3-174-184
  34. Saleh A, Sultan A, Elashry MA, et al. Association of TNF-α G-308 a promoter polymorphism with the course and outcome of COVID-19 patients. Immunol Invest. 2022;51(3):546–557. doi: 10.1080/08820139.2020.1851709
  35. Al-Jaf SMA, Niranji SS, Ali HN, Mohammed OA. Association of Apolipoprotein e polymorphism with SARS-CoV-2 infection. J Mol Epidemiol Evol Genet Infect Dis. 2021;95:105043. doi: 10.1016/j.meegid.2021.105043
  36. Kuo CL, Pilling LC, Atkins JL, et al. APOE e4 genotype predicts severe COVID-19 in the UK Biobank Community Cohort. J Gerontol – Biol Sci Med Sci. 2020;75(11):2231–2232. doi: 10.1093/gerona/glaa131
  37. Posadas-Sánchez R, Sánchez-Muñoz F, Guzmán-Martín CA, et al. Dipeptidylpeptidase-4 levels and DPP4 gene polymorphisms in patients with COVID-19. Association with disease and with severity. Life Sci. 2021;276:119410. doi: 10.1016/j.lfs.2021.119410
  38. Kolyubaeva SN, Kondratenko AA, Alkhazhe K, et al. Investigation of HLA-DRB1 and IL28 gene polymorphism in patients with varying severity of COVID-19 infection. Genes and cells. 2021;16(3):86–90. (In Russ.). doi: 10.23868/202110012
  39. Kryukov EV, Trishkin DV, Salukhov VV, et al. A prospective multicenter randomized study state of humoral immunity after a new coronavirus infection (COVID-19) of a mild or asymptomatic course. Annals of the Russian Academy of Medical Sciences. 2021;76(4):361–367. (In Russ.). doi: 10.15690/vramn1582
  40. Yan Y, Liu B, Ding H, et al. Characterizing COVID-19 severity, epidemiology and SARS-CoV-2 genotypes in a regional business hub of China. J Infect. 2021;82(2):282–327. doi: 10.1016/j.jinf.2020.08.031
  41. Nikonova AA, Faizuloev EB, Gracheva AV, et al. Genetic diversity and evolution of the biological features of the pandemic SARS-CoV-2. Acta Naturae. 2021;13(3):77–89. (In Russ.). doi: 10.32607/actanaturae.11337
  42. Hamed SM, Elkhatib WF, Khairalla AS, Noreddin AM. Global dynamics of SARS-CoV-2 clades and their relation to COVID-19 epidemiology. Sci Rep. 2021;11(1):8435. doi: 10.1038/s41598-021-87713-x
  43. van Dorp L, Richard D, Tan CCS, et al. No evidence for increased transmissibility from recurrent mutations in SARS-CoV-2. Nat Commun. 2020;11(1):5986. doi: 10.1038/s41467-020-19818-2
  44. Wang QX, Huang KC, Qi L, et al. No infectious risk of COVID-19 patients with long-term fecal 2019-nCoV nucleic acid positive. Eur Rev Med Pharmacol Sci. 2020;24:5772–5777. doi: 10.26355/eurrev_202005_21370
  45. Azam M, Sulistiana R, Ratnawati M, et al. Recurrent SARS-CoV-2 RNA positivity after COVID-19: a systematic review and meta-analysis. Sci Rep. 2020;10(1):20692. doi: 10.1038/s41598-020-77739-y
  46. Carfì A, Bernabei R, Landi F. Persistent symptoms in patients after acute COVID-19. JAMA. 2020;324(6):603–605. doi: 10.1001/jama.2020.12603
  47. Moskaleva EV, Petrova AG, Rychkova LV, et al. Indicators of the immune status in children after a new coronavirus infection. Acta Biomedica Scientifica. 2021;6(2):58–62. (In Russ.). doi: 10.29413/ABS.2021-6.2.6.
  48. Novikova EA, Petrova AG, Moskaleva EV, et al. Retrospective of international serological studies on the formation and dynamics of the humoral immune response to SARS-CoV-2: from 2020 to 2021. Acta Biomedica Scientifica. 2021;6(2):47–57. (In Russ.). doi: 10.29413/ABS.2021-6.2.5
  49. Stokel-Walker C. What we know about covid-19 reinfection so far. BMJ. 2021;372:n99. doi: 10.1136/bmj.n99
  50. Bao L, Deng W, Gao H, et al. Reinfection could not occur in SARS-CoV-2 infected rhesus macaques. BioRxiv. 2020:990226. doi: 10.1101/2020.03.13.990226
  51. Karthik K, Senthilkumar TMA, Udhayavel S, Raj GD. Role of antibody-dependent enhancement (ADE) in the virulence of SARS- CoV- 2 and its mitigation strategies for the development of vaccines and immunotherapies to counter COVID-19. Hum Vaccines Immunother. 2020;16(12):3055–3060. doi: 10.1080/21645515.2020.1796425
  52. Wang J, Kaperak C, Sato T, Sakuraba A. COVID-19 reinfection: a rapid systematic review of case reports and case series. J Invest Med. 2021;69(6):1253–1255. doi: 10.1136/jim-2021-001853
  53. Colson P, Finaud M, Levy N, et al. Evidence of SARS-CoV-2 re-infection with a different genotype. J Infect. 2021;82(4):84–123. doi: 10.1016/j.jinf.2020.11.011

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2022 Eco-Vector



СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ПИ № ФС 77 - 77762 от 10.02.2020.


This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies