Predictive Value of Specific Cytokines for Lethal Covid-19 Outcome

In our study, we aimed to evaluate the significance of specific cytokines in blood plasma as predictive markers of COVID-associated mortality. Materials and methods. In plasma samples of 29 patients with PCR-confirmed COVID-19 we measured the concentrations of 47 molecules. These molecules included: interleukins and selected pro-inflammatory cytokines (IL-1alpha, IL-1beta, IL-2, IL-3, IL-4, IL-5, IL-6, IL-7, IL-9, IL-12 (p40), IL-12 (p70), IL-13, IL-15, IL-17A/CTLA8, IL-17-E/IL-25, IL-17F, IL-18, IL-22, IL-27, IFNalpha2, IFNgamma, TNFalpha, TNFbeta/Lymphotoxin-alpha(LTA));chemokines (CCL2/MCP-1, CCL3/MIP-1alpha, CCL4/MIP-1beta, CCL7/MCP-3, CCL11/Eotaxin, CCL22/MDC, CXCL1/GROalpha, CXCL8/IL-8, CXCL9/MIG, CXCL10/IP-10, CX3CL1/Fractalkine);anti-inflammatory cytokines (IL-1Ra, IL-10);growth factors (EGF, FGF-2/FGF-basic, Flt-3 Ligand, G-CSF, M-CSF, GM-CSF, PDGF-AA, PDGFAB/BB, TGFalpha, VEGF-A);and sCD40L. We used multiplex analysis based on xMAP technology (Luminex, USA) using Luminex MagPix. As controls, we used plasma samples of 20 healthy individuals. Based on the results, we applied Receiver Operating Characteristic (ROC) analysis and Area Under Curve (AUC) values to compare two different predictive tests and to choose the optimal division point for disease outcome (survivors/non-survivors). To find optimal biomarker combinations, we as used cytokines concentrations as dependent variables to grow a regression tree using JMP 16 Software.Results. Out of 47 studied cytokines/chemokines/growth factors, we picked four pro-inflammatory cytokines as having high significance in evaluation of COVID-19 outcome: IL-6, IL-8, IL-15, and IL-18. Based on the results received, we assume that the highest significance in terms of predicting the outcome of acute COVID-19 belongs to IL-6 and IL-18. Conclusion. Analyzing concentrations of IL-6 and IL-18 before administering treatment may prove valuable in terms of outcome prognosis. Copyright © Arsentieva N.A. et al., 2022.

Predictive Value of Specific Cytokines for Lethal Covid-19 Outcome

In our study, we aimed to evaluate the significance of specific cytokines in blood plasma as predictive markers of COVID-associated mortality. Materials and methods. In plasma samples of 29 patients with PCR-confirmed COVID-19 we measured the concentrations of 47 molecules. These molecules included: interleukins and selected pro-inflammatory cytokines (IL-1alpha, IL-1beta, IL-2, IL-3, IL-4, IL-5, IL-6, IL-7, IL-9, IL-12 (p40), IL-12 (p70), IL-13, IL-15, IL-17A/CTLA8, IL-17-E/IL-25, IL-17F, IL-18, IL-22, IL-27, IFNalpha2, IFNgamma, TNFalpha, TNFbeta/Lymphotoxin-alpha(LTA));chemokines (CCL2/MCP-1, CCL3/MIP-1alpha, CCL4/MIP-1beta, CCL7/MCP-3, CCL11/Eotaxin, CCL22/MDC, CXCL1/GROalpha, CXCL8/IL-8, CXCL9/MIG, CXCL10/IP-10, CX3CL1/Fractalkine);anti-inflammatory cytokines (IL-1Ra, IL-10);growth factors (EGF, FGF-2/FGF-basic, Flt-3 Ligand, G-CSF, M-CSF, GM-CSF, PDGF-AA, PDGFAB/BB, TGFalpha, VEGF-A);and sCD40L. We used multiplex analysis based on xMAP technology (Luminex, USA) using Luminex MagPix. As controls, we used plasma samples of 20 healthy individuals. Based on the results, we applied Receiver Operating Characteristic (ROC) analysis and Area Under Curve (AUC) values to compare two different predictive tests and to choose the optimal division point for disease outcome (survivors/non-survivors). To find optimal biomarker combinations, we as used cytokines concentrations as dependent variables to grow a regression tree using JMP 16 Software.Results. Out of 47 studied cytokines/chemokines/growth factors, we picked four pro-inflammatory cytokines as having high significance in evaluation of COVID-19 outcome: IL-6, IL-8, IL-15, and IL-18. Based on the results received, we assume that the highest significance in terms of predicting the outcome of acute COVID-19 belongs to IL-6 and IL-18. Conclusion. Analyzing concentrations of IL-6 and IL-18 before administering treatment may prove valuable in terms of outcome prognosis. Copyright © Arsentieva N.A. et al., 2022.

Distribution patterns of HLA-A*, B*, DRB1* allele groups among persons who underwent COVID-19

The main histocompatibility complex – HLA system (Human Leukocyte Antigens) is among the most important genetic factors determining response of humans to infectious agents. The key role that HLA molecules play in immune response is to present the pathogen-derived peptides. Enormous molecular variability of HLA alleles in human populations have attracted close attention and became the basis for numerous studies aimed at evaluating the role of HLA genotypes for individual features of immune response to COVID-19, the new infection caused by SARS-CoV-2 β-coronavirus. Many studies have focused on search of specific alleles associated with both susceptibility and resistance to this disease. Separate HLA patterns were reported already. These patterns may be either universal to several populations, or rather peculiar, since distribution of HLA genes is different for various populations, depending on the living conditions, including specific protection from environmental pathogens. Therefore, it is evident that individual effects of HLA genotype upon occurrence and course of SARS-CoV-2 infection should be performed in comparison with the HLA distribution among the residents of appropriate region. The objective of this study was to compare the distribution of HLA-A*, B*, DRB1* allele groups, and to analyze the frequencies of HLA-AB-DRB1 haplotypes in subjects with COVID-19 (n = 138), compared with the control group presented by residents of the North-Western Russia (n = 1456). The most significant differences between COVID-19 patients compared with a group from control population were revealed for the groups of HLA-A* alleles: the frequencies of HLA-A*02 and HLA-A*26 were significantly reduced (39.86% versus 51.72%, χ2 = 7,58, and 4.35% versus 9.07%, χ2 = 4.17, respectively). At the same time, the frequency of HLA-A*29 was increased more than 2-fold (5.80% versus 2.47%, χ2 = 4.03). This finding suggests that the allele groups A*02 and A*26 are associated with reduced likelihood of the disease, while A*29, is an apparent factor predisposing for susceptibility to the disease. It was found that occurrence of definite HLA haplotypes, including the A*02 allele group, is less common in persons who have undergone COVID-19, and are ranged at the 4th, 7th and 10th positions in frequency, while in the population control group such HLA haplotypes took the 3rd, 4th, 7th and 8th places. Further evaluation of the HLA gene polymorphism will allow to understand the predetermined immunogenetic basis for susceptibility, as well as clinical severity of COVID-19.

COVID-19 infection in patients with primary immunodeficiencies

The article presents data on the features of COVID-19 infection in patients with primary immunodeficiencies (PIDs) in the Russian Federation, obtained through the National association of experts in PID (NAEPID) registry. Materials and methods: from March 1, 2020 to October 15, 2020, 15 cases of close intrafamilial contact between PIDs patients and COVID-19 patients without reliable infection of the first and 23 cases of COVID-19 infection in PIDs patients were reported. Results: 6/23 infected people had asymptomatic course of infection, 9/23 patients - mild form, 8/23 -moderate form of disease, one patient had a severe course with a fatal outcome. 19/23 patients were under 18 years of age, which corresponds with the age data of the national Russia PID registry. Conclusion: perhaps this age composition partially explains the milder course of COVID-19 in PIDs patients compared to the European data. Other possible reasons for a milder course may be the lower pathogenicity of the coronavirus strain circulating in the Russian Federation. В статье представлены данные об особенностях течения COVID-19 у пациентов с первичными иммунодефицитами (ПИД) в РФ, собранные с помощью регистра Национальной ассоциации экспертов в области ПИД (НАЭПИД). Материалы и методы исследования: всего с 1 марта 2020 г. по 15 октября 2020 г. было репортировано 15 случаев тесного внутрисемейного контакта между пациентами с ПИД и больными COVID-19 без достоверного инфицирования первых и 23 случая инфицирования COVID-19 у пациентов с ПИД. Результаты: 6/23 инфицированных перенесли инфекцию бессимптомно, 9/23 - в легкой, 8/23 - в среднетяжелой форме, у одного пациента - тяжелое течение с летальным исходом. 19/23 пациентов были младше 18 лет, что коррелирует с данными национального регистра ПИД в РФ. Заключение: возможно, такое возрастное распределение частично объясняет более легкое течение COVID-19 у пациентов с ПИД по сравнению с европейскими данными. Другими возможными причинами, обусловливающими более легкое течение, могут быть меньшая патогенность штамма коронавируса, циркулирующего на территории РФ.

Herd immunity to SARS-CoV-2 among the population in Saint-Petersburg during the COVID-19 epidemic

The first case of COVID-19 was diagnosed in St. Petersburg on March 2, 2020;the period of increase in the incidence lasted for 10 weeks, the maximum rates were recorded in mid-May, and subsequently there was a statistically significant decrease in the incidence. Objective: to determine the level and structure of community immunity to SARS-CoV-2 among the population of St. Petersburg during the period of intensive spread of COVID-19. Materials and methods. Selection of volunteers for the study was carried out through interviewing and randomization. The exclusion criterion was active COVID-19 infection at the time of the survey. 2713 people aged 1 to 70 years and above were examined for the presence of specific antibodies to SARS-CoV-2. Antibodies were detected by enzyme immunoassay. Results and discussion. Studies have shown that in St. Petersburg, in the active phase of COVID-19 epidemic, there was a moderate seroprevalence to SARS-CoV-2, which amounted to 26 %, against the background of a high frequency (84.5 %) of asymptomatic infection in seropositive individuals who did not have a history of COVID-19 disease, positive PCR result and ARI symptoms on the day of examination. The maximum indicators of herd immunity were established in children 1–6 years old (31.1 %), 7–13 years old (37.7 %) and people over 70 years old (30.4 %). Differences in the level of seroprevalence in the age groups of 18–49 years are statistically significant. The highest level of seroprevalence was found among the unemployed (29.7 %), healthcare workers (27.1 %), education sector (26.4 %) and business sector personnel (25 %). In convalescents, COVID-19 antibodies are produced in 75 % of cases. In individuals with positive result of PCR analysis carried out earlier, antibodies are detected in 70 % of the cases. The results of the study of herd immunity to SARS-CoV-2 are essential to forecast the development of the epidemiological situation, as well as to plan measures for specific and non-specific prevention of COVID-19. © 2020 Russian Research Anti-Plague Institute. All rights reserved.