Development and application of an RT‒PCR assay for the identification of the delta and omicron variants of SARS-COV-2.

The emergence of mutations in the coronavirus genome provides opportunities for occurrence new strains with higher transmissibility, severity and duration of the disease poses. In 2020, a new variant of the coronavirus SARS-COV-2 - Delta was identified in India. This genetic variant has spread rapidly and became dominant in many countries, including Russia. In November 2021, a new outbreak of COVID-19 occurred in Africa driven by a variant SARS-COV-2 named later Omicron. Both variants had increased transmissibility compared to previously encountered variants and quickly, replacing its around the world. To promptly monitor the epidemiological situation in the country, to assess the spread of dominant genetic variants of the virus and to take appropriate measures, we have developed an RT‒PCR reagent kit for the identification of Delta and Omicron by detecting a corresponding combination of major mutations. The minimum set of mutations was chosen which allows to differentiate Delta and Omicron variants, in order to increase the analysis productivity and reduce costs. Primers and LNA-modified probes were selected to detect mutations in the S gene, typical for the Delta and Omicron. Similar approach can be implemented for the rapid development of assays for differentiating important SARS-COV-2 variants or for other viruses genotyping for epidemiological surveillance or for diagnostic use in order to assist in making clinical decisions. It was demonstrated that the results of VOC Delta and Omicron detection and their typical mutations were concordant with genotyping based on WGS results for all 847 samples of SARS-CoV-2 RNA. The kit has high analytical sensitivity (1х103 copies/mL of SARS-CoV-2 RNA) for each of the detected genetic variants and possesses 100% analytic specificity for microorganism panel testing. The diagnostic sensitivity (95% confidence interval) obtained during pivotal trials was 91.1-100% for Omicron and 91.3-100% for Delta, while the diagnostic specificity with a 95% confidence interval was 92.2-100%. The use of a set of reagents in combination with sequencing of SARS-CoV-2 RNA as part of epidemiological monitoring made it possible to quickly track the dynamics of changes in Delta and Omicron prevalence in the Moscow region in the period from December 2021 to July 2022.

Spectrum of PRSS1, SPINK1, CTRC, CFTR, and CPA1 Gene Variants in Chronic Pancreatitis Patients in Russia.

The aim of the study was to define the spectrum of genetic risk factors of chronic pancreatitis (CP) development in patients living in the European part of the Russian Federation. Materials and Methods: The study group included 105 patients with CP, with the age of the disease onset under 40 years old (the average age of onset was 26.9 years). The control group consisted of 76 persons without clinical signs of pancreatitis. The diagnosis of chronic pancreatitis in patients was made on the basis of clinical manifestations and the results of laboratory and instrumental investigations. Genetic examination of patients was conducted using the next-generation sequencing (NGS) technology and included targeted sequencing of all exons and exon-intron boundaries of the PRSS1, SPINK1, CTRC, CFTR, and CPA1 genes. The genotyping of the rs61734659 locus of the PRSS2 gene was also conducted. Results: Genetic risk factors of the CP development were found in 61% of patients. Pathogenic and likely-pathogenic variants associated with the risk of CP development were identified in the following genes: CTRC (37.1% of patients), CFTR (18.1%), SPINK1 (8.6%), PRSS1 (8.6%), and CPA1 (6.7%). The frequent gene variants in Russian patients with CP were as follows: CTRC gene - c.180C>T (rs497078), c.760C>T (rs121909293), c.738_761del24 (rs746224507); cumulative odds ratio (OR) for all risk alleles was 1.848 (95% CI: 1.054-3.243); CFTR gene - c.3485G>T (rs1800120), c.1521_1523delCTT (p.Phe508del, rs113993960), and c.650A>G (rs121909046); OR=2.432 (95% CI: 1.066-5.553). In the SPINK1, PRSS1, and CPA1 genes, pathogenic variants were found only in the group of patients with CP. The frequent variants of the SPINK1 gene include c.101A>G (p.Asn34Ser, rs17107315) and c.194+2T>C (rs148954387); of the PRSS1 gene - c.86A>T (p.Asn29Ile, rs111033566); of the CPA1 gene - c.586-30C>T (rs782335525) and c.696+23_696+24delGG. The OR for the CP development for the c.180TT genotype (rs497078) CTRC according to the recessive model (TT vs. CT+CC) was 7.05 (95% CI: 0.86-263, p=0.011). In the CTRC gene, the variant c.493+49G>C (rs6679763) appeared to be benign, the c.493+51C>A (rs10803384) variant was frequently detected among both the diseased and healthy persons and did not demonstrate a protective effect. The protective factor c.571G>A (p.Gly191Arg, rs61734659) of the PRSS2 gene was detected only in the group of healthy individuals and confirmed its protective role. 12.4% of the patients with CP had risk factors in 2 or 3 genes. Conclusion: Sequencing of the coding regions of the PRSS1, SPINK1, CTRC, CFTR, and CPA1 genes allowed to identify genetic risk factors of the CP development in 61% of cases. Determining the genetic cause of CP helps to predict the disease course, perform preventive measures in the proband's relatives, and facilitate a personalized treatment of the patient in future.