CHARACTERISTIC OF N. MENINGITIDIS STRAINS CIRCULATED IN NUR-SULTAN FROM 2010 TO 2020
Introduction. The epidemiology of meningococcal infection can change unpredictably, and the type of Neisseria meningitidis isolates play a crucial role for the surveillance of invasive meningococcus.
Purpose of the study. Conduct a molecular epidemiological study and determine the genetic characteristics of N. meningitidis strains that exist in Nur-Sultan city.
Methods. The investigation is based on the meningococcal infection registered cases in Nur-Sultan for the period 2010–2020. For characterization, Neisseria meningitidis isolates were collected from cerebrospinal fluid and blood from children. N. meningitidis isolates (n = 120) from patients were genotyped using multilocus sequence typing (MLST) and sequencing of the porB, porA, fetA, fHbp, and penA genes. Serotyping was performed using the latex agglutination method. Antimicrobial susceptibility was determined using a disk diffusion method and tested for antibiotic susceptibility using multilocus sequence typing (MLST). Statistical treatment of clinical and laboratory data was calculated using the program SPSS IBM Statistics 20. Age of different lines performed with the help of the Mann-Whitney U. test.
Results. Thus, the analysis of case histories of patients treated with a diagnosis of meningococcal meningitis in the Multidisciplinary City Children's Hospital No. 3, Nur-Sultan for 2010-2020, showed the highest proportion of detection among serogroups "A" -59.2% (n = 71), in second place "B" - 24.2% (n = 29), in third place - "C" - 10.8% (n = 13) and a low rate in serogroups "W135" -4.2% (n = 5) and "29E" - 1.7% (n = 2). The results of genome-wide analysis of N.meningitidis were deposited in the international Genbank database at the following numbers: SRX7002979, SRX7002980, SRX7002981, SRX7002982 (PubMLST, https: // www.ncbi.nlm.nih.gov / sra / term).
Conclusions. Genome-wide analysis made a significant contribution to the detailed molecular characterization of N. meningitidis isolates that were isolated in Kazakhstan over a 10-year period. Allowed to determine the level of genetic discrepancy between isolates obtained in Kazakhstan and other countries. Genetic phylogeny of complete genomes has revealed the geographical circulation of serotypes and strains, as well as cases of transmission between countries.
Aliya Zh. Seidullayeva1,2, https://orcid.org/0000-0002-0073-4405
Dinagul A. Bayesheva1,2, https://orcid.org/0000-0001-6843-9712
Bayan R. Turdalina 1,2, https://orcid.org/0000-0001-5672-7370
Alyona V. Altynbekova1,2, https://orcid.org/0000-0002-4407-4525
Аiym М. Turarova1,
Asset Zh. Daniyarov3, https://orcid.org/0000-0003-3886-718X
Ulykbek E. Kairov3, https://orcid.org/0000-0001-8511-8064
Samat S. Kozhakhmetov3,4, https://orcid.org/0000-0001-9668-0327
1 NJSC ”Medical University Astana”, Nur-Sultan, Republic of Kazakhstan;
2 Multidisciplinary City Children's Hospital № 3, Nur-Sultan, Republic of Kazakhstan;
3 National Laboratory Astanа, Nazarbayev University, Nur-Sultan, Republic of Kazakhstan;
4 ArtScience Innovative Center, Nur-Sultan, Republic of Kazakhstan.
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4. Ahmed M.M., Nour M.A.K., Soheir S.M. Detection of Neisseria meningitidis DNA in blood samples using direct-PCR test. Egyptian pharmaceutical journal. 2013. 1(1): р. 115-119.
5. Batista R.S., Gomes A.P., Gazineo J.L.D., Miguel P.S.P., Santana L.A. Geller L.O.M. Meningococcal disease, a clinical and epidemiological review. Asian Pacific Journal of Tropical Medicine. 2017. 10(11): P. 1019-1029.
6. Bolger A.M., Lohse M., Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014. 30(15): p. 2114-2120.
7. Bratcher H.B., Corton C., Jolley K.A., Parkhill J., Maiden M.C.J. A gene-by-gene population genomics platform: de novo assembly, annotation and genealogical analysis of 108 representative Neisseria meningitidis genomes. BMC Genomics. 2014. 15(1): P. 1138.
8. Huson D.H., Bryant D. Application of phylogenetic networks in evolutionary studies. Mol Biol Evol. 2006. 23(2): P. 254-67.
9. Jolley K.A., Bray J.E., Maiden M.C.J. Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications. Wellcome open research. 2018. 3: P. 124-124.
10. Kambiré D., Soeters H.M. Ouédraogo-Traoré R., Medah I., Sangare L. Nationwide Trends in Bacterial Meningitis before the Introduction of 13-Valent Pneumococcal Conjugate Vaccine-Burkina Faso, 2011-2013. PloS one. 20. 11(11): p. e0166384-e0166384.
11. Kim H.-J., Fay M.P., Feuer E.J., Midthune D.N. Permutation tests for joinpoint regression with applications to cancer rates. Statistics in Medicine. 2000. 19(3): P. 335-351.
12. Kim K.S. Acute bacterial meningitis in infants and children. Lancet Infect Dis. 2010. Vol. 10. P. 32-42.
13. Levy C., de La Rocque F., Cohen R. Epidemiology of pediatric bacterial meningitis in France. Med Mal Infect. 2009.39. P. 419–431.
14. Martin N.G., Sadarangani M., Pollard A.J., Goldacre M.J. Hospital admission rates for meningitis and septicaemia caused by Haemophilus influenzae, Neisseria meningitidis, and Streptococcus pneumoniae in children in England overfive decades: a population-based observational study. Lancet Infect Dis. 2014. 14. P. 397-405.
15. Mueller J.E. Conjugate vaccine introduction in the African meningitis belt:meeting surveillance objectives. Tropical Medicine and International Health. 2013. Vol. 18. 1. P. 58–64.
16. Paireau J., Chen A., Broutin H., Grenfell B., Basta N.E. Seasonal dynamics of bacterial meningitis: a time-series analysis. Lancet Glob Health. 2016 Jun; 4(6): e370–e377.
17. WHO., Global burden of disease estimates. Geneva: World Health Organization, 2016. 01.09.2020.
18. Yazdankhah S.P., Kriz P., Tzanakaki G. Kalmusova J., Musilek M., Alvestad T., Jolley K.A., Wilson D.J., McCarthy N.D., Caugant D.A., Maiden M.C.J. Distribution of serogroups and genotypes among disease-associated and carried isolates of Neisseria meningitidis from the Czech Republic, Greece, and Norway. J Clin Microbiol. 2014. 42. P. 5146–5153.
19. Zerbino D.R., Birney E. Velvet: Algorithms for de novo short read assembly using de Bruijn graphs. Genome Research. 2008. 18(5): P. 821-829.
20. Zhang Y., Wei D., Guo X., Han M., Yuan L. Kyaw H.M. Burden of Neisseria meningitidis infections in China: a systematic review and meta-analysis. Journal of global health. 2016. 6(2): P. 020409-020409.
21. Zouheir Y., Atany T., Boudebouch N. Emergence and spread of resistant N. meningitidis implicated in invasive meningococcal diseases during the past decade (2008–2017). The Journal of Antibiotics. 2019. Vol. 72. P. 185–188.
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Seidullayeva A.Zh., Bayesheva D.A., Turdalina B.R. , Altynbekova A.V., Turarova А.М., Daniyarov A.Zh., Kairov U.E., Kozhakhmetov S.S. Characteristic of N. Meningitidis strains circulated in Nur-Sultan from 2010 to 2020 // Nauka i Zdravookhranenie [Science & Healthcare]. 2020, (Vol.22) 6, pp. 26-34. doi 10.34689/SH.2020.22.6.004Related publications:
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