Distribution of serogroups and sequence types in disease-associated and carrier strains of<i>Neisseria meningitidis</i>isolated in China between 2003 and 2008

Zhou, Haijian; Gao, Yuan; Xu, Li; Li, M; Li, Q; Li, Y; Xiao, Liang; Luo, Heng; Kan, Biao; Xu, Jianguo; Shao, Zhujun

doi:10.1017/s0950268811001865

Cited by 35 publications

(40 citation statements)

References 38 publications

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“…The approach we developed can be applied to many bacterial species. For example, in Neisseria meningitidis, a subpopulation referred to as the ST4821 complex causes about 300 human infections annually in China (48,49), and a genome sequencing-based scheme would be highly beneficial. Our core genome sequence typing system provides a timely implementation of strain identification and classification using high-throughput NGS genome data, facilitating the application of genome data to the fields of clinical medicine, epidemiology, and surveillance.…”

Section: Discussionmentioning

confidence: 99%

Minimum Core Genome Sequence Typing of Bacterial Pathogens: a Unified Approach for Clinical and Public Health Microbiology

et al. 2013

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Bacterial pathogens impose a heavy health burden worldwide. In the new era of high-throughput sequencing and online bioinformatics, real-time genome typing of infecting agents, and in particular those with potential severe clinical outcomes, holds promise for guiding clinical care to limit the detrimental effects of infections and to prevent potential local or global outbreaks. Here, we sequenced and compared 85 isolates of Streptococcus suis, a zoonotic human and swine pathogen, wherein we analyzed 32 recognized serotypes and 75 sequence types representing the diversity of the species and the human clinical isolates with high public health significance. We found that 1,077 of the 2,469 genes are shared by all isolates. Excluding 201 common but mobile genes, 876 genes were defined as the minimum core genome (MCG) of the species. Of 190,894 single-nucleotide polymorphisms (SNPs) identified, 58,501 were located in the MCG genes and were referred to as MCG SNPs. A population structure analysis of these MCG SNPs classified the 85 isolates into seven MCG groups, of which MCG group 1 includes all isolates from human infections and outbreaks. Our MCG typing system for S. suis provided a clear separation of groups containing human-associated isolates from those containing animal-associated isolates. It also separated the group containing outbreak isolates, including those causing life-threatening streptococcal toxic shock-like syndrome, from sporadic or less severe meningitis or bacteremia-only isolates. The typing system facilitates the application of genome data to the fields of clinical medicine and epidemiology and to the surveillance of S. suis. The MCG groups may also be used as the taxonomical units of S. suis to define bacterial subpopulations with the potential to cause severe clinical infections and large-scale outbreaks.

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Section: Discussionmentioning

confidence: 99%

Minimum Core Genome Sequence Typing of Bacterial Pathogens: a Unified Approach for Clinical and Public Health Microbiology

et al. 2013

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“…Serogroup C meningococcal disease quickly became endemic in the Anhui Province, with ST–4821 the dominant lineage. This lineage rapidly spread nationwide causing several meningococcal disease outbreaks in 2004–2005 [12,13]. In response to these outbreaks, meningococcal group A and C polysaccharide vaccines were subsequently used for routine immunization.…”

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confidence: 99%

Burden of Neisseria meningitidis infections in China: a systematic review and meta–analysis

Zhang

Dong

Guo

et al. 2016

Journal of Global Health

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BackgroundNeisseria meningitidis is a leading cause of bacterial meningitis and septicemia in children and young adults worldwide. The disease burden associated with N. meningitidis infections has not been systematically assessed in China. Therefore, we undertook this study to determine the burden of meningococcal disease in China.MethodWe performed a systematic review and meta–analysis of articles on N. meningitidis incidence, carriage, seroprevalence and mortality rates in China by searching the Chinese BioMedical Database (CBM), China National Knowledge Infrastructure (CNKI), Wanfang database and PubMed for publications from January 2005 to Aug 2015.ResultsIn total, 50 articles were included in our analysis. The overall incidence of meningococcal disease and associated mortality were estimated to be 1.84 (95% confidence interval (CI) 0.91–3.37) per 100 000 persons per year and 0.33 (95% CI 0.12–0.86) per 100 000 persons per year, respectively. N. meningitidis carriage rate among the healthy population was estimated to be 2.7% (95% CI 2.0–3.5%). Prevalence of antibodies against N. meningitidis serogroup A and C were estimated to be 77.3% (95% CI 72.4%–81.6%) and 33.5% (95% CI 27.0%–40.8%), respectively. No studies were found for serogroup specific disease burden.ConclusionsThe overall incidence of meningococcal disease in China is low. The lower seroprevalence of serogroup C within the population suggests that it may pose a greater risk for meningococcal disease outbreak than serogroup A. The lack of data on serogroup disease burden by age groups suggests the implementation of laboratory based meningococcal surveillance systems are urgently needed in China.

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“…No widespread epidemics of cerebrospinal meningitis and no N. meningitidis –associated deaths have occurred in Anhui since bivalent meningococcal vaccines against serogroups A and C were first used in 2003 ( 4 ). During 2011–2013, however, 15 infections caused by N. meningitidis serogroup W135 ST11, which belongs to a hyperinvasive lineage ( 5 ), were reported in Hefei, Anhui Province.…”

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Neisseria meningitidisSerogroup W135 Sequence Type 11, Anhui Province, China, 2011–2013

Hu¹,

Zhang²,

Li³

et al. 2014

Emerg. Infect. Dis.

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Distribution of serogroups and sequence types in disease-associated and carrier strains ofNeisseria meningitidisisolated in China between 2003 and 2008

Cited by 35 publications

References 38 publications

Minimum Core Genome Sequence Typing of Bacterial Pathogens: a Unified Approach for Clinical and Public Health Microbiology

Minimum Core Genome Sequence Typing of Bacterial Pathogens: a Unified Approach for Clinical and Public Health Microbiology

Burden of Neisseria meningitidis infections in China: a systematic review and meta–analysis

Neisseria meningitidisSerogroup W135 Sequence Type 11, Anhui Province, China, 2011–2013

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