INFLUENCE OF COVID-19 AND VACCINATION AGAINST SARS-COV-2 ON THE COURSE OF ONCOHEMATOLOGICAL DISEASES. 3. ROLE OF INFLAMMATION AND THE EFFECT OF CYTOKINE STORM
DOI:
https://doi.org/10.15407/oncology.2025.01.067Keywords:
COVID-19, SARS-CoV-2, chemokines, interleukins, IL-2, IL-6, IL-8, IL-10, TNF-alpha, vaccination against SARS-CoV-2Abstract
Summary. Aim: to assess the impact of the cytokine storm, what is typical for the course of COVID-19, on vaccination against the SARS-COV-2 virus in patients with chronic lymphocytic leukemia (CLL). The results of bioinformatic analysis, using the DisGeNET database and algorithm showed that, in addition to ACE2, also IL10, C-reactive protein (CRP), ACE, AGT, IL1B and CXCL10 are highly associated with this disease. Bioinformatic analysis, using the FunCoup algorithm showed an association with COVID-19 disease of the cytokine IL6. Using qPCR, we showed that relative expression levels of IL2 slightly, but significantly increases in the blood of CLL patients in case of COVID-19 disease. Vaccination does not affect the IL2 levels. A similar relationship was found for TNFA (TNF-alpha). However, in this case, the level of cytokine increases also during vaccination, although in the presence of COVID-19 the effect of vaccination is leveled. The relative expression of IL10 is slightly reduced during vaccination, but significantly increased in the presence of COVID-19, and for IL6 and IL8 — slightly increased after vaccination, but decreased when patients with COVID-19 were vaccinated. Thus, vaccination of CLL patients against the SARS-CoV-2 virus does not lead to the desired results and does not give an advantage to vaccinated individuals in terms of the course of the COVID-19 disease.
References
Kovalevska LM, Shcherbina VM, Kryachok IA, et al. Influence of COVID-19 and vaccination against SARS-COV-2 on the course of oncohematological diseases. Part I. genetic characteristics of SARS-COV-2 variants upon the three waves of the pandemic in Ukraine. Oncology 2024; 26(3): 216–21. https://doi.org/10.15407/oncology.2024.03.216. (in Ukrainian)
Kovalevska LM, Shcherbina VM, Kryachok IA, et al. Influence of COVID19 and Vaccination Against SARS-COV-2 on the Course of Oncohematological Diseases. Part II. Pattern of ACE2 Receptor Expression and the Influence of SARS-COV-2 on Infl tion. Oncology 2024; 26(4): 301–6. https://doi.org/10.15407/oncology.2024.04.301. (in Ukrainian)
Pinero J, Sauch J, Sanz F, et al. The DisGeNET cytoscape app: Exploring and visualizing disease genomics data. Com- put Struct Biotechnol J 2021; 19: 2960–7. https://doi.org/ 10.1016/j.csbj.2021.05.015.
Uhlen M, Fagerberg L, Hallstrom BM, et al. Proteomics. Tissue-based map of the human proteome. Science 2015; 347 (6220): 1260419. https://doi.org/10.1126/science. 1260419.
Uhlen M, Zhang C, Lee S, et al. A pathology atlas of the human cancer transcriptome. Science 2017; 357(6352): eaan2507. https://doi.org/10.1126/science.aan2507.
Ogata H, Goto S, Sato K, et al. KEGG: Kyoto Encyclope- dia of Genes and Genomes. Nucleic Acids Res 1999; 27 (1): 29–34. https://doi.org/10.1093/nar/27.1.29.
Alexeyenko A, Sonnhammer EL. Global networks of func- tional coupling in eukaryotes from comprehensive data integration. Genome Res 2009; 19(6): 1107–16. https:// doi.org/10.1101/gr.087528.108.
Schmitt T, Ogris C, Sonnhammer EL. FunCoup 3.0: database of genome-wide functional coupling networks. Nucleic Acids Res 2014; 42 (Database issue): D380–88. https:// doi.org/10.1093/nar/gkt984.