Association of polymorphic variants in human genome with the COVID-2019 severity and post-COVID syndrome development

Background/Objectives: Despite intensive research of the novel coronavirus SARS-CoV-2 and COVID-2019 caused by it, factors affecting the severity of the disease remains poorly understood. Clinical manifestations of COVID-2019 may vary from asymptomatic form to pneumonia, acute respiratory distress syndrome (ARDS) and multiorgan failure. Features of individual genetic landscape of patients can play an important role in development of the pathological process of COVID-19. In this regard the purpose of this study was to investigate the influence of polymorphic variants in genes (ADD1, CAT, IL17F, IL23R, NOS3, IFNL3, IL6, F2, F13A1, ITGB3, HIF1A, MMP12, VEGFA), associated with cardiovascular, respiratory and autoimmune pathologies, on the severity of COVID-19 and post-COVID syndrome in patients from Russia. Method(s): The study included 200 patients recovered from COVID-19. Two groups of patients were formed in accordance with clinical manifestations: with mild and moderate forms of the disease. The polymorphic variants were analysed with real-time PCR using commercial kits (Syntol). Result(s): 13 SNPs (rs4961;rs1001179;rs612242;rs11209026;rs2070744;rs8099917;rs1800795;rs1799963;rs5985;rs5918;rs11549465;rs652438;rs699947) were genotyped and comparative analysis of allele frequency distribution was carried out in two groups of patients recovered from COVID-2019. Conclusion(s): Identification of polymorphic variants in genome associated with severity of pathological processes in patients infected with SARS-CoV-2 can contribute to the identification of individuals with an increased risk of severe infection process and can also serve as a basis for developing personalized therapeutic approaches to the treatment of post-COVID syndrome.

Plasma cytokine profile in patients with severe COVID-19

Background/Objectives: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing coronavirus disease (COVID-19) enters the lung tissue through exocytosis, leading to the release of a large amount of pro-inflammatory cytokines called 'cytokine storm'. The aim was to provide more insight into relationship between plasma cytokines profile and fatal outcome of COVID-19. Method(s): Plasma cytokines (IL-17F,GM-CSF,IFNg,IL-10,CCL20/ MIP3a,IL-12P70,IL-13, IL-15,IL-17A,IL-22,IL-9,IL-1b,IL-33,IL-2,IL-21,IL-4,IL-23,IL-5,IL-6,IL-17E/IL-25,IL-27,IL-31,TNFa,TNFb,IL-28A) were detected in 30 patients with severe COVID-19 by a Luminex assay system with Milliplex Human Th17 Magnetic Premix 25 Plex Kit (HT17MG-14K-PX-25, Merk-Millipore, USA) according to the instructions. Patients were followed up for 30 days since admission to intensive care. 18 patients died and 12 patients survived during the period of observation. The control group comprised 10 individuals who had never been diagnosed with COVID-19. Result(s): IL-10 and CCL20/MIP3a plasma levels were elevated in non-survivors patients with COVID-19 compared to controls (p = 0.0027, p = 0.012, respectively). IL-15, IL-6, IL-27 plasma levels were higher in survivors with COVID-19 compared to controls (p = 0.049, p = 0.026, p = 0.00032, respectively). Interestingly, IL-15, IL-27 plasma levels were increased in non-survivors with COVID-19 compared to controls and survivors with severe COVID-19 (IL-15: p = 0.00098, p = 0.00014, respectively;IL-27: p = 0.011, p < 0.0001, respectively). Receiver operating characteristic (ROC) analysis has been conducted for IL-15 and IL-27. Cut-off value was estimated as 25.50 pg/ml for IL-15 and 1.51 pg/ml for IL-27. Conclusion(s): Our study demonstrated a more pronounced immune response in non-surviving patients with severe COVID-19. IL-15, IL-27 could be considered as a sensitive biomarker of the fatal outcome from COVID-19.

Bimekizumab safety in patients with moderate-to-severe plaque psoriasis: Analysis of pooled data from up to three years of treatment in Phase 2 and 3 clinical trials

Background: Bimekizumab (BKZ) is a monoclonal IgG1 antibody used in the treatment of psoriasis which selectively inhibits interleukin (IL)-17F in addition to IL-17A.1,2 Data pooled over two years have indicated that BKZ is generally well-tolerated.3 We report three-year BKZ pooled safety data in patients with moderate-to-severe plaque psoriasis. Method(s): Safety data were evaluated for all patients who received one or more dose BKZ in four Phase 3 trials (BE SURE [NCT03412747], BE VIVID [NCT03370133], BE READY [NCT03410992], and their ongoing open-label extension BE BRIGHT open-label extension [NCT03598790;data cut-off : 10/23/2021]) and four Phase 2 trials (BE ABLE 1 [NCT02905006], BE ABLE 2 [NCT03010527], PS0016 [NCT03025542], PS0018 [NCT03230292]). Safety data were evaluated separately for patients receiving BKZ dosed 320mg every four weeks (Q4W) or every eight weeks (Q8W). Exposureadjusted incidence rates (EAIRs) for treatmentemergent adverse events (TEAEs) are the incidence of new cases per 100 patient-years (PY). Result(s): Total BKZ exposure was 4,245.3 PY (N=1,789) across Phase 2/3 trials, and 3,876.4 PY (N=1,495) in Phase 3 trials. TEAEs occurred at a rate of 186.1 across Phase 2/3 trials, serious TEAEs at 5.6, and TEAEs leading to discontinuation at 3.5. Eighteen deaths occurred (0.4/100 PY), all unrelated to study treatment except one (relationship unknown). TEAEs occurred less frequently in Q8W- than Q4W-treated patients in Phase 3 trials. Consistent with previous reports, most common TEAEs (EAIR) in Phase 2/3 trials were nasopharyngitis (15.3), oral candidiasis (10.2), and upper respiratory tract infection (7.1).3 EAIR of serious infections was 1.2. Most frequently reported were serious coronavirus infections (0.2). There were no cases of active tuberculosis. EAIR of oral candidiasis was 10.2, decreased vs two-year data (12.6),3 and was less common with BKZ Q8W vs Q4W. The vast majority of oral candidiasis events were mild or moderate (99.4%);none were serious. EAIRs of hepatic events (4.0) and elevated liver enzymes (3.4) were decreased vs. two-year data (4.3 and 3.6, respectively).3 EAIRs for inflammatory bowel disease (0.1), adjudicated major adverse cardiac events (0.6), and adjudicated suicidal ideation and behavior (0.1) were low. EAIRs for other safety topics of interest were also low and were similar to or lower than two-year EAIRs.3 Conclusion(s): BKZ was well-tolerated over three years. No safety signals were identified;EAIRs of TEAEs did not increase compared with data from two years.3.

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.