Evidence map›Paper›PMID 36576937›Full record

ArticlePloS one2022

Whole genome sequence analysis of Neisseria meningitidis strains circulating in Kazakhstan, 2017-2018.

Alexandr Shevtsov, Zabida Aushakhmetova, Asylulan Amirgazin, Olga Khegay, Dinara Kamalova, Bibiaisha Sanakulova, Askar Abdaliyev, Dinagul Bayesheva, Aliya Seidullayeva, Yerlan Ramankulov and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 50% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Molecular characterization of Neisseria meningitidis isolates from healthy individuals in Meigu County, Sichuan Province, 2021-2024.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Alexandr ShevtsovNational Center for Biotechnology, Astana, Kazakhstan.ORCID 0000-0002-0307-1053
Zabida AushakhmetovaNational Centre of expertise CSEC MN RK, Astana, Kazakhstan.
Asylulan AmirgazinNational Center for Biotechnology, Astana, Kazakhstan.
Olga KhegayNational Centre of expertise CSEC MN RK, Astana, Kazakhstan.
Dinara KamalovaNational Center for Biotechnology, Astana, Kazakhstan.
Bibiaisha SanakulovaNational Centre of expertise CSEC MN RK, Astana, Kazakhstan.
Askar AbdaliyevNational Centre of expertise CSEC MN RK, Astana, Kazakhstan.
Dinagul BayeshevaMedical University Astana, Astana, Kazakhstan.
Aliya SeidullayevaMedical University Astana, Astana, Kazakhstan.
Yerlan RamankulovNational Center for Biotechnology, Astana, Kazakhstan.
Alexandr ShustovNational Center for Biotechnology, Astana, Kazakhstan.
Gilles VergnaudCEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, Gif-sur-Yvette, France.ORCID 0000-0003-0913-194X
National Center for Biotechnology · KZAstana Medical University · KZCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neisseria meningitidis (meningococcus) is a cosmopolitan bacterium that is often found in the upper respiratory tract of asymptomatic humans. However, N. meningitidis also causes meningeal inflammation and/or sepsis in humans with a periodic resurgence in incidence and high mortality rates. The pathogen is highly diverse genetically and antigenically, so that genotyping is considered important for vaccine matching to circulating strains. Annual incidence of meningococcal disease in Kazakhstan ranges between 0.2 and 2.5 cases per 100 thousand population. In total, 78 strains of N. meningitidis were isolated from clinical patients and contact persons during the years 2017-2018 in Kazakhstan. Of these, 41 strains including four from the patients and 37 from contacts, were sequenced using Illumina MiSeq. In silico typing was completed using the Neisseria pipeline 1.2 on the Galaxy Workflow Management System and PubMLST. Whole genome SNP (single nucleotide polymorphisms) trees were built using BioNumerics 8. Seven-gene multilocus sequence typing (MLST) identified ten sequence types (ST), two of which have not been previously described (ST-16025; ST-16027). ST-16025 was detected in two patients with invasive meningococcal disease in 2017 and 2018 in Akmola region and 16 contacts in 2017 in Turkistan region. This prevalent type ST-16025 demonstrates considerable intertypic diversity as it consists of three subcomplexes with a distance of more than 2000 SNPs. Invasive and carrier strains belong to different serogroups (MenB and MenC), PorA and FetA_VR. Two invasive strains were MenB, one MenC and one MenW (Hajj lineage). The strains from the contact persons were: MenC (n = 18), cnl (n = 9), MenY (n = 7), MenW (n = 1), MenB (n = 1) and one unidentifiable. Different numbers of alleles were present: 12, 11, 7, and 7 alleles for PorA, FetA, fHbp, and NHBA, respectively. This study is the first report of the genetic diversity of N. meningitidis strains in Kazakhstan. Despite limitations with the studied sample size, important conclusions can be drawn based on data produced. This study provides evidence for regulatory authorities with regard to changing routine diagnostic protocols to increase the collecting of samples for WGS.

Indexed as

Meningococcal InfectionsMeningococcal VaccinesNeisseria meningitidisAntigens, BacterialHumansKazakhstanMultilocus Sequence TypingSerogroupAntigens, BacterialMeningococcal Vaccines

Identifiers

PMID36576937
PMCPMC9797059
OpenAlexW4313203693

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.