Joanna Granica
Research Subjects
Research Interests
Joanna Granica has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
- Maxim Solomadin
International Center for Vaccinology, Kazakh National Agrarian Research University (KazNARU), Kazakhstan
2 shared publications - Vyacheslav Beloussov
Molecular Genetic Laboratory TreeGene, Almaty 050008, Kazakhstan
2 shared publications - Aidos Bolatov
Shenzhen University Medical School, Shenzhen University, Shenzhen, China
1 shared publication - Balzhan Abzhaparova
National Scientific Center for Surgery named after A.N. Syzganov
1 shared publication - Bibigul Ilyassova
JSC “National Scientific center of Surgery named after A.N.Syzganov”, Almaty, Kazakhstan
1 shared publication - Bolatbek Baimakhanov
Department of General Surgery, Syzganov National Scientific Center of Surgery, Almaty 050004, Kazakhstan
1 shared publication
Latest Publications
- Open Access
- 14 August 2023
- Published by Springer Nature in BMC Infectious Diseases
- Vol. 23 (1) , 1-7
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).
- 14 August 2023
- Published by Springer Nature in BMC Infectious Diseases
- Vol. 23 (1) , 1-7
Open AccessPrevalence 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).
- Open Access
- 24 November 2022
- Published by MDPI AG in Microorganisms
- Vol. 10 (12) , 2327
Next Generation Sequencing Approaches to Characterize the Respiratory Tract Virome
The COVID-19 pandemic and heightened perception of the risk of emerging viral infections have boosted the efforts to better understand the virome or complete repertoire of viruses in health and disease, with a focus on infectious respiratory diseases. Next-generation sequencing (NGS) is widely used to study microorganisms, allowing the elucidation of bacteria and viruses inhabiting different body systems and identifying new pathogens. However, NGS studies suffer from a lack of standardization, in particular, due to various methodological approaches and no single format for processing the results. Here, we review the main methodological approaches and key stages for studies of the human virome, with an emphasis on virome changes during acute respiratory viral infection, with applications for clinical diagnostics and epidemiologic analyses.
- 24 November 2022
- Published by MDPI AG in Microorganisms
- Vol. 10 (12) , 2327
Open AccessNext Generation Sequencing Approaches to Characterize the Respiratory Tract Virome
The COVID-19 pandemic and heightened perception of the risk of emerging viral infections have boosted the efforts to better understand the virome or complete repertoire of viruses in health and disease, with a focus on infectious respiratory diseases. Next-generation sequencing (NGS) is widely used to study microorganisms, allowing the elucidation of bacteria and viruses inhabiting different body systems and identifying new pathogens. However, NGS studies suffer from a lack of standardization, in particular, due to various methodological approaches and no single format for processing the results. Here, we review the main methodological approaches and key stages for studies of the human virome, with an emphasis on virome changes during acute respiratory viral infection, with applications for clinical diagnostics and epidemiologic analyses.