Prevalence and genotypes distribution of virus hepatitis B and hepatitis delta virus in chronic liver diseases in Kazakhstan.

BACKGROUND: The geographical distribution of hepatitis B virus (HBV) and hepatitis D virus (HDV) genotypes is uneven and has its own clinical and organizational implications for health systems. Despite the introduction of vaccination and successful antiviral therapy the prevalence of chronic hepatitis B (with or without delta agent) increased over the past 5 years. This study aimed for the first time to investigate the molecular epidemiology of HBV and HDV in Kazakhstan. METHODS: Total 834 chronic hepatitis B (with or without delta agent) patients were included to the study from November 2017 to June 2019. The material was collected from the regional hepatological сenters from 13 cities of Kazakhstan. Genotyping of HBV/HDV isolates was carried out using phylogenetic analysis of null-binary sequences of Kazakhstani isolates, in comparison with the reference sequences. Nucleotide sequence alignment was performed using the ClustalW algorithm, the "neighbor-joining" method was used for the construction of phylogenetic trees and subsequent analysis. RESULTS: Overall 341 samples were PCR-positive and genotyped for HBV. Comparison and phylogenetic analysis of nucleotide sequences of HBV isolates showed that they were represented by genotypes HBV-D (95.9%), HBV-A (3.5%) and HBV-C (0.6%). At the same time, the identity of the nucleotide sequences of Kazakhstani isolates were: HBV-D (95-100%); HBV-A (97.2-100%) and HBV-C (99%). 256 samples were PCR positive and genotyped for HDV, all of them belonged to genotype 1. CONCLUSION: This study describes for the first time the molecular epidemiology of HBV and HDV in Kazakhstan. The data obtained expand the knowledge of the global epidemiology of viruses; have potential implications for public health policy and for further clinical research on chronic hepatitis in Kazakhstan. TRIAL REGISTRATION: ClinicalTrials.gov NCT05095181 (registered on 27/10/2021).

Pediatric Extracranial Germ Cell Tumors: Expression of microRNA.

BACKGROUND: Germ cell tumors (GCTs) may occur from the neonatal period to late adulthood, characterized by extensive clinical and pathologic heterogeneity. MicroRNAs are a family of small noncoding RNAs that regulate a wide array of biological processes including carcinogenesis. MicroRNAs may be used for many purposes in clinical diagnostics. Numerous studies have proven the diagnostic value of microRNA371-373 and microRNA302/367 expression in malignant GCT. The diagnostic value of microRNA375 is disputable, because while its value is confirmed by some research data, there are still others denying it. METHODS: The results of our own research on the relative expression of 10 microRNAs, including microRNA375, associated with GCT in the tumor tissues of 84 children and adolescents are presented. RESULTS: In our research, overexpression of microRNA 371-373, 302/367 detected in the group of malignant GCT subtypes. Statistically significant expression of microRNA375 have been defined not only in the group of malignant GCT subtypes, but also in the group of immature teratomas. Among malignant GCTs, high expression of microRNA375 is specific for yolk sac tumors. In the group of seminomas, embryonic carcinomas, and mature teratomas expression of microRNA375 was observed imperceptible, even so the results were statistically insignificant. CONCLUSION: Expression of microRNA 371-373, 302/367 is representative of malignant GCT subtypes. Statistically significant and high expression of microRNA375 attributable for yolk sac tumors and immature teratomas.

In silico Prediction of miRNA Interactions With Candidate Atherosclerosis Gene mRNAs.

The involvement of genes and miRNAs in the development of atherosclerosis is a challenging problem discussed in recent publications. It is necessary to establish which miRNAs affect the expression of candidate genes. We used known candidate atherosclerosis genes to predict associations. The quantitative characteristics of interactions of miRNAs with mRNA candidate genes were determined using the program, which identifies the localization of miRNA binding sites in mRNA, the free energy interaction of miRNA with mRNA. In mRNAs of GAS6 and NFE2L2 candidate genes, binding sites of 21 miRNAs and of 15 miRNAs, respectively, were identified. In IRS2 mRNA binding sites of 25 miRNAs were located in a cluster of 41 nt. In ADRB3, CD36, FASLG, FLT1, PLA2G7, and PPARGC1A mRNAs, clusters of miR-466, ID00436.3p-miR, and ID01030.3p-miR BS were identified. The organization of overlapping miRNA binding sites in clusters led to their compaction and caused competition among the miRNAs. The binding of 53 miRNAs to the mRNAs of 14 candidate genes with free energy interactions greater than -130 kJ/mole was determined. The miR-619-5p was fully complementary to ADAM17 and CD36 mRNAs, ID01593.5p-miR to ANGPTL4 mRNA, ID01935.5p-miR to NFE2L2, and miR-5096 to IL18 mRNA. Associations of miRNAs and candidate atherosclerosis genes are proposed for the early diagnosis of this disease.