Ekaterina Egorova, Russian Federation

Presenter of 1 Presentation

POPULATION GENETIC STRUCTURE, SEROTYPE DISTRIBUTION AND ANTIBIOTIC RESISTANCE OF STREPTOCOCCUS PNEUMONIAE ISOLATES COLLECTED IN MOSCOW IN 2011-2015 (ID 446)

Abstract

Background

The invasive pneumococcal disease remains one of the leading causes of morbidity and mortality worldwide. In this study, we investigated high-resolution population genetic structure of S. pneumoniae isolates in Moscow, using the genomic definition of pneumococcal lineages (Global Pneumococcal Sequence Clusters (GPSCs)), serotypes and antimicrobial resistance patterns.

Methods

Eighty-seven pneumococcal isolates were recovered from cerebrospinal fluid and nasopharyngeal swabs of patients with meningitis and upper respiratory tract infections, ages one to 93 years in Moscow between 2011-2015. The serotypes and multilocus sequence types (MLSTs) were derived from whole-genome sequencing data using ARIBA and MLSTcheck. GPSCs were assigned by popPUNK. Antibiotic susceptibility was predicted based on genotypes.

Results

Sixty-seven sequence types identified in the collection belonged to 39 clonal complexes (CCs) and 10 singletons. Overall, 42 GPSCs were identified. The two prevalent lineages were GPSC1 (CC320) and GPSC7 (CC437). Twenty-two serotypes were found and their associated GPSCs are shown in Figure 1. The major GPSC contributing to multidrug resistance was GPSC1, which expressed 19F/19A serotypes (Figure 2).

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Conclusions

The pneumococcal collection showed high diversity in population structure. Ongoing surveillance is needed to monitor the dynamics of the pneumococcal population in Russia following the introduction of PCV13 immunization in 2014.

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Author Of 2 Presentations

POPULATION GENETIC STRUCTURE, SEROTYPE DISTRIBUTION AND ANTIBIOTIC RESISTANCE OF STREPTOCOCCUS PNEUMONIAE ISOLATES COLLECTED IN MOSCOW IN 2011-2015 (ID 446)

Abstract

Background

The invasive pneumococcal disease remains one of the leading causes of morbidity and mortality worldwide. In this study, we investigated high-resolution population genetic structure of S. pneumoniae isolates in Moscow, using the genomic definition of pneumococcal lineages (Global Pneumococcal Sequence Clusters (GPSCs)), serotypes and antimicrobial resistance patterns.

Methods

Eighty-seven pneumococcal isolates were recovered from cerebrospinal fluid and nasopharyngeal swabs of patients with meningitis and upper respiratory tract infections, ages one to 93 years in Moscow between 2011-2015. The serotypes and multilocus sequence types (MLSTs) were derived from whole-genome sequencing data using ARIBA and MLSTcheck. GPSCs were assigned by popPUNK. Antibiotic susceptibility was predicted based on genotypes.

Results

Sixty-seven sequence types identified in the collection belonged to 39 clonal complexes (CCs) and 10 singletons. Overall, 42 GPSCs were identified. The two prevalent lineages were GPSC1 (CC320) and GPSC7 (CC437). Twenty-two serotypes were found and their associated GPSCs are shown in Figure 1. The major GPSC contributing to multidrug resistance was GPSC1, which expressed 19F/19A serotypes (Figure 2).

figure1toronto 20.01.10.jpg

figure2 toronto 2020.png

Conclusions

The pneumococcal collection showed high diversity in population structure. Ongoing surveillance is needed to monitor the dynamics of the pneumococcal population in Russia following the introduction of PCV13 immunization in 2014.

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SEROTYPE CHARACTERIZATION OF STREPTOCOCCUS PNEUMONIAE IDENTIFIED IN MENINGITIS CASES IN SEVERAL ASIAN AND EUROPEAN COUNTRIES (ID 896)

Abstract

Background

We examined the serotype distribution patterns of pneumococcal meningitis in the following countries: Ukraine, Belarus, Azerbaijan, Armenia, Georgia and Uzbekistan. The study was performed within the program for Invasive Bacterial Diseases Sentinel Surveillance implemented in the region by WHO Regional Office for Europe.

Methods

Cerebrospinal fluid samples (CSFs) were collected from patients with suspected meningitis at sentinel hospitals within 2007 – 2017. S. pneumoniae serogroups/serotypes in positive CSFs were determined using qPCR and mPCR. Overall, 2980 CSFs from patients aged under 5 years were tested.

Results

173 (5, 8%) CSFs were positive for S. pneumoniae. Pneumococcal serotypes/serogroups were determined in 77,5% (134) of positive CSFs, 22,5% were not-typeable. 27 serotypes/serogroups were identified. Serotypes 6A/B (17,3%), 14 (15,6%), 19F (13%), 23F (5,8%), 18A/B/C (4,6%), were the most prevalent, followed by others with a prevalence of 2% and less (9V/9A, 4, 6C/6D, 24A/B/F,19A, 5, 3, 1, 23A, 20, 2, 13, 31, 8, 7F/7A, 7C/7B/40, 22F/22A, 21, 15B/15C, 12F/12A/12B/44/46, 11A/11D, 16F).

Conclusions

The proportion of vaccine serotypes amounts to 60, 5% for PCV10 and 64,1% for PCV13, suggesting that the introduction of the conjugate vaccine is feasible and justifiable. Ongoing surveillance is needed to monitor the dynamics of serotype distribution following the introduction of PCVs.

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