The predicting value of circular DNA particles of T- and B-cell receptors for the dismal acute period outcomes and the disease severity of COVID-19 infection

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The pandemic of the new coronavirus infection COVID-19, caused by the SARS-CoV-2 virus, continues to be a serious problem for the entire global community. Currently, most patients experience mild COVID-19, with only about 20% of those infected requiring hospitalization. The severe course of COVID-19 is most often associated with damage to the patient’s bronchopulmonary system by the virus and serious abnormalities, including damage to the air-hematological barrier, systemic inflammation, dysfunction of the immune system and the addition of secondary infections. Severe disease and poor outcome in hospitalized patients with COVID-19 may be associated with lymphopenia in combination with neutrophilia. Restoring the number of lymphocytes is important to improve the prognosis of the patient’s outcome. Patients with COVID-19 experience an immune imbalance where systemic inflammation and dysfunction of circulating T and B cells lead to more severe disease. TREC/KREC analysis can characterize the function of the central organs of the immune system and its relationship with clinical and laboratory data. Decreased TREC/KREC levels were observed in patients with unfavorable disease outcomes compared to patients with favorable disease outcomes. Additionally, a higher neutrophil to lymphocyte ratio was found. Levels of TREC and KREC in the blood negatively correlate with the neutrophil-lymphocyte ratio. Thus, the TREC/KREC assay is a potential prognostic marker for assessing the severity and outcome of COVID-19.

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作者简介

Tatiana Elistratova

Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky

Email: 2410454@mail.ru
ORCID iD: 0000-0003-1969-5482
SPIN 代码: 2080-0068

ассистент кафедры инфекционных болезней и эпидемиологии с курсом ПО 

俄罗斯联邦, Krasnoyarsk

Elena Tikhonova

Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky

Email: 2410454@mail.ru
ORCID iD: 0000-0001-6466-9609
SPIN 代码: 8376-7373

д.м.н., профессор, заведующая кафедрой инфекционных болезней и эпидемиологии с курсом ПО 

俄罗斯联邦, Krasnoyarsk

Andrey Savchenko

Krasnoyarsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences of the «Research Institute of Medical Problems of the North»

Email: 2410454@mail.ru
ORCID iD: 0000-0001-5829-672X
SPIN 代码: 3132-8260

д.м.н., профессор, заведующий лабораторией клеточно-молекулярной физиологии и патологии 

俄罗斯联邦, Krasnoyarsk

Alexander Borisov

Krasnoyarsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences of the «Research Institute of Medical Problems of the North»

编辑信件的主要联系方式.
Email: 2410454@mail.ru
ORCID iD: 0000-0002-9026-2615
SPIN 代码: 9570-2254

к.м.н., ведущий научный сотрудник лаборатории клеточно-молекулярной физиологии и патологии 

俄罗斯联邦, Krasnoyarsk

参考

  1. Щелканов М.Ю., Попова А.Ю., Дедков В.Г. и др. История изучения и современная классификация коронавирусов (Nidovirales: Coronaviridae). Инфекция и иммунитет. 2020; 10(2):221-246. doi: 10.15789/2220-7619-HOI-1412.
  2. Leao J.C., Gusmao T.P.L., Zarzar A.M. et al. Coronaviridae-Old friends, new enemy! Oral Dis. 2022; 28(Suppl. 1):858-866. doi: 10.1111/odi.13447.
  3. Львов Д.К., Альховский С.В., Колобухина Л.В. и др. Этиология эпидемической вспышки COVID-19 в г. Ухань (провинция Хубэй, Китайская Народная Республика), ассоциированной с вирусом 2019-nCoV (Nidovirales, Coronaviridae, Coronavirinae, Betacoronavirus, подрод Sarbecovirus): уроки эпидемии SARS-CoV. Вопросы вирусологии. 2020; 65(1):6-15. https://doi.org/10.36233/0507-4088-2020-65-1-6-15.
  4. Mehyar N. Coronaviruses SARS-CoV, MERS-CoV, and SARS-CoV-2 helicase inhibitors: a systematic review of invitro studies. J. Virus Erad. 2023; 9(2):100327. doi: 10.1016/j.jve.2023.100327.
  5. Tang G., Liu Z., Chen D. Human coronaviruses: Origin, host and receptor. J. Clin. Virol. 2022; 155:105246. doi: 10.1016/j.jcv.2022.105246.
  6. Cui J., Li F., Shi Z.L. Origin and evolution of pathogenic coronaviruses. Nat. Rev. Microbiol. 2019; 17(3):181-192. doi: 10.1038/s41579-018-0118-9.
  7. Wu F., Zhao S., Yu B. et al. A new coronavirus associated with human respiratory disease in China. Nature. 2020; 579(7798):265-269. doi: 10.1038/s41586-020-2008-3.
  8. Habibzadeh S., Hashemzadeh N., Baradaran H. et al. COVID-19: From the Molecular Mechanisms to Treatment. Tanaffos. 2022; 21(2):113-131. PMID: 36879738.
  9. Tay M.Z., Poh C.M., Rénia L. et al. The trinity of COVID-19: immunity, inflammation and intervention. Nat. Rev Immunol. 2020 Jun;20(6):363-374. doi: 10.1038/s41577-020-0311-8.
  10. Wu Z., McGoogan J.M. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020; 323(13):1239-1242. doi: 10.1001/jama.2020.2648.
  11. Liu Y., Ye Q. The Key Site Variation and Immune Challenges in SARS-CoV-2 Evolution. Vaccines (Basel). 2023; 11(9):1472. doi: 10.3390/vaccines11091472.
  12. Mazzoni A., Salvati L., Maggi L. et al. Impaired immune cell cytotoxicity in severe COVID-19 is IL-6 dependent. J. Clin. Invest. 2020; 130(9):4694-4703. doi: 10.1172/JCI138554.
  13. Ruiz-Aravena M., McKee C., Gamble A. et al. Ecology, evolution and spillover of coronaviruses from bats. Nat. Rev. Microbiol. 2022; 20(5):299-314. doi: 10.1038/s41579-021-00652-2.
  14. Костинов М.П., Маркелова Е.В., Свитич О.А., Полищук В.Б. Иммунные механизмы SARS-CoV-2 и потенциальные препараты для профилактики и лечения COVID-19. Пульмонология. 2020;30(5):700-708. https://doi.org/10.18093/0869-0189-2020-30-5-700-708.
  15. Liu Q., Xu K., Wang X., Wang W. From SARS to COVID-19: What lessons have we learned? J. Infect. Public Health. 2020; 13(11):1611-1618. doi: 10.1016/j.jiph.2020.08.001.
  16. Wu Z., McGoogan J.M. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020; 323(13):1239-1242. doi: 10.1001/jama.2020.2648.
  17. Andrews H.S., Herman J.D., Gandhi R.T. Treatments for COVID-19. Annu. Rev. Med. 2023; Sep 18. doi: 10.1146/annurev-med-052422-020316.
  18. Chang L., Yan Y., Wang L. Coronavirus Disease 2019: Coronaviruses and Blood Safety. Transfus. Med. Rev. 2020; 34(2):75-80. doi: 10.1016/j.tmrv.2020.02.003.
  19. Kratzer B., Schlax L.C., Gattinger P. et al. Combined assessment of S- and N-specific IL-2 and IL-13 secretion and CD69 neo-expression for discrimination of post-infection and post-vaccination cellular SARS-CoV-2-specific immune response. Allergy. 2022; 77(11):3408-3425. doi: 10.1111/all.15406.
  20. Niu Z., Li X., Gao Y et al. Evaluation of Immunogenicity and Clinical Protection of SARS-CoV-2 S1 and N Antigens in Syrian Golden Hamster. Vaccines (Basel). 2022; 10(12):1996. doi: 10.3390/vaccines10121996.
  21. Kandeel M., Yamamoto M., Tani H. et al. Discovery of New Fusion Inhibitor Peptides against SARS-CoV-2 by Targeting the Spike S2 Subunit. Biomol Ther (Seoul). 2021; 29(3):282-289. doi: 10.4062/biomolther.2020.201.
  22. Khairkhah N., Bolhassani A., Agi E. et al. Immunological investigation of a multiepitope peptide vaccine candidate based on main proteins of SARS-CoV-2 pathogen. PLoS One. 2022; 17(6):e0268251. doi: 10.1371/journal.pone.0268251.
  23. Khadzhieva M.B., Kalinina E.V., Larin S.S. et al. TREC/KREC Levels in Young COVID-19 Patients. Diagnostics (Basel). 2021; 11(8):1486. doi: 10.3390/diagnostics11081486.
  24. Lim K.H., Wang L., Eunice D. et al. TLR4 sensitizes plasmacytoid dendritic cells for antiviral response against SARS-CoV-2 coronavirus. J. Leukoc. Biol. 2023; Sep 25:qiad111. doi: 10.1093/jleuko/qiad111.
  25. Zhu Q., Xu Y., Wang T., Xie F. Innate and adaptive immune response in SARS-CoV-2 infection-Current perspectives. Front Immunol. 2022; 13:1053437. doi: 10.3389/fimmu.2022.1053437.
  26. Brown B., Ojha V., Fricke I. et al. Innate and Adaptive Immunity during SARS-CoV-2 Infection: Biomolecular Cellular Markers and Mechanisms. Vaccines (Basel). 2023; 11(2):408. doi: 10.3390/vaccines11020408.
  27. Petrone L., Sette A., de Vries R.D., Goletti D. The Importance of Measuring SARS-CoV-2-Specific T-Cell Responses in an Ongoing Pandemic. Pathogens. 2023; 12(7):862. doi: 10.3390/pathogens12070862.
  28. Liatsos G.D. SARS-CoV-2 induced liver injury: Incidence, risk factors, impact on COVID-19 severity and prognosis in different population groups. World J. Gastroenterol. 2023; 29(16):2397-2432. doi: 10.3748/wjg.v29.i16.2397.
  29. Yuan C., Ma Z., Xie J. et al. The role of cell death in SARS-CoV-2 infection. Signal Transduct. Target Ther. 2023; 8(1):357. doi: 10.1038/s41392-023-01580-8.
  30. Frank M.G., Fleshner M., Maier S.F. Exploring the immunogenic properties of SARS-CoV-2 structural proteins: PAMP:TLR signaling in the mediation of the neuroinflammatory and neurologic sequelae of COVID-19. Brain Behav. Immun. 2023; 111:259-269. doi: 10.1016/j.bbi.2023.04.009.
  31. Frank M.G., Nguyen K.H., Ball J.B. et al. SARS-CoV-2 spike S1 subunit induces neuroinflammatory, microglial and behavioral sickness responses: Evidence of PAMP-like properties. Brain Behav. Immun. 2022; 100:267-277. doi: 10.1016/j.bbi.2021.12.007.
  32. Gu W., Gan H., Ma Y. et al. The molecular mechanism of SARS-CoV-2 evading host antiviral innate immunity. Virol. J. 2022; 19(1):49. doi: 10.1186/s12985-022-01783-5.
  33. Wei W.C., Tsai K.C., Liaw C.C. et al. NRICM101 ameliorates SARS-CoV-2-S1-induced pulmonary injury in K18-hACE2 mice model. Front. Pharmacol. 2023; 14:1125414. doi: 10.3389/fphar.2023.1125414.
  34. Борисов А.Г., Савченко А.А., Кудрявцев И.В. Особенности иммунного реагирования при вирусных инфекциях. Инфекция и иммунитет. 2015; 5(2):148-156. http://dx.doi.org/10.15789/2220-7619-2015-2-148-156.
  35. Борисов А.Г., Савченко А.А., Тихонова Е.П. Современные методы лечения вирусного гепатита C. Красноярск: Версона, 2017. 74 с. http://agborisov.com/knigi/Sovremennye%20metody%20lecheniya%20virusnogo%20gepatita%20s.pdf.
  36. Козлов В.А., Тихонова Е.П., Савченко А.А. и др. Клиническая имунология. Практическое пособие для инфекционистов.
  37. Филатов О.Ю., Назаров В.А. Образраспознающие рецепторы врожденного иммунитета и их роль в иммунотерапии (обзор). Патогенез. 2020; 18(4):4-15. https://doi.org/https://doi.org/10.25557/2310-0435.2020.04.4-15.
  38. Vanderbeke L., Van Mol P., Van Herck Y et al. Monocyte-driven atypical cytokine storm and aberrant neutrophil activation as key mediators of COVID-19 disease severity. Nat. Commun. 2021; 12(1):4117. doi: 10.1038/s41467-021-24360-w.
  39. Wang T., Hu Y., Dusi S. et al. “Open Sesame” to the complexity of pattern recognition receptors of myeloid-derived suppressor cells in cancer. Front. Immunol. 2023; 14:1130060. doi: 10.3389/fimmu.2023.1130060.
  40. Di Vito C., Calcaterra F., Coianiz N. et al. Natural Killer Cells in SARS-CoV-2: Pathophysiology and Therapeutic Implications. Front. Immunol. 2022; 13:888248. doi: 10.3389/fimmu.2022.888248.
  41. Su S., Chen R., Zhang S. et al. Immune system changes in those with hypertension when infected with SARS-CoV-2. Cell Immunol. 2022; 378:104562. doi: 10.1016/j.cellimm.2022.104562.
  42. Liapis I., Baritaki S. COVID-19 vs. Cancer Immunosurveillance: A Game of Thrones within an Inflamed Microenviroment. Cancers (Basel). 2022; 14(17):4330. doi: 10.3390/cancers14174330.
  43. Wang J., Li D., Tang B. et al. The clinical and immunological characteristics of COVID-19 patients with delayed SARS-CoV-2 virus clearance. Immun. Inflamm. Dis. 2023; 11(9):e999. doi: 10.1002/iid3.999.
  44. Tarique M., Suhail M., Naz H. et al. Where do T cell subsets stand in SARS-CoV-2 infection: an update. Front. Cell. Infect. Microbiol. 2022; 12:964265. doi: 10.3389/fcimb.2022.964265.
  45. Wang Y., Gao T., Li W. et al. Engineered clinical-grade mesenchymal stromal cells combating SARS-CoV-2 omicron variants by secreting effective neutralizing antibodies. Cell. Biosci. 2023; 13(1):160. doi: 10.1186/s13578-023-01099-z.
  46. Rotulo G.A., Ceglie G., Candino A. et al. The Clinical Course of SARS-CoV-2 Infection in Patients With Autoimmune Neutropenia: A Retrospective Case Series Study. Pediatr. Infect. Dis. J. 2023; Sep 22. doi: 10.1097/INF.0000000000004093.
  47. Weissert R. Nervous system-related tropism of SARS-CoV-2 and autoimmunity in COVID-19 infection. Eur. J. Immunol. 2023; Sep 21:e2250230. doi: 10.1002/eji.202250230.
  48. Mosavat A., Mirhosseini A., Shariati A. et al. SARS-CoV-2 infection and increasing autoimmune disorders among ICU-hospitalized COVID-19 patients. Int. J. Rheum. Dis. 2023; Aug 14. doi: 10.1111/1756-185X.14875.
  49. Rosazza C., Alagna L., Bandera A. et al. Severity of SARS-CoV-2 infection in a hospital population: a clinical comparison across age groups. Ital. J. Pediatr. 2023; 49(1):135. doi: 10.1186/s13052-023-01485-w.
  50. Sperotto F., Gutiérrez-Sacristán A., Makwana S. et al. Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium. EClinicalMedicine. 2023; 64:102212. doi: 10.1016/j.eclinm.2023.102212.
  51. Augustin M., Stecher M., Wüstenberg H. et al. 15-month post-COVID syndrome in outpatients: Attributes, risk factors, outcomes, and vaccination status - longitudinal, observational, case-control study. Front. Immunol. 2023; 14:1226622. doi: 10.3389/fimmu.2023.1226622.
  52. Savchenko A.A., Kudryavtsev I.V., Isakov D.V. et al. Recombinant Human Interleukin-2 Corrects NK Cell Phenotype and Functional Activity in Patients with Post-COVID Syndrome. Pharmaceuticals (Basel). 2023; 16(4):537. doi: 10.3390/ph16040537.
  53. Froňková E., Klocperk A., Svatoň M. et al. The TREC/KREC assay for the diagnosis and monitoring of patients with DiGeorge syndrome. PLoS One. 2014; 9(12):e114514. doi: 10.1371/journal.pone.0114514.
  54. Khadzhieva M.B., Kalinina E.V., Larin S.S. et al. TREC/KREC Levels in Young COVID-19 Patients. Diagnostics (Basel). 2021; 11(8):1486. doi: 10.3390/diagnostics11081486.
  55. Savchenko A.A., Tikhonova E., Kudryavtsev I. et al. TREC/KREC Levels and T and B Lymphocyte Subpopulations in COVID-19 Patients at Different Stages of the Disease. Viruses. 2022; 14(3):646. doi: 10.3390/v14030646.
  56. Korsunskiy I., Blyuss O., Gordukova M. et al. TREC and KREC Levels as a Predictors of Lymphocyte Subpopulations Measured by Flow Cytometry. Front. Physiol. 2019; 1877. doi: 10.3389/fphys.2018.01877.

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