Dynamic pharyngeal carriage of Neisseria species in healthy population.

Carriage Commensal Neisseria Neisseria spp. Neisseria subflava rplF

Journal

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
ISSN: 1567-7257
Titre abrégé: Infect Genet Evol
Pays: Netherlands
ID NLM: 101084138

Informations de publication

Date de publication:
23 Oct 2024
Historique:
received: 03 07 2024
revised: 10 10 2024
accepted: 21 10 2024
medline: 26 10 2024
pubmed: 26 10 2024
entrez: 25 10 2024
Statut: aheadofprint

Résumé

Considering the significant role of commensal Neisseria carried in the pharynx on the variation of N.meningitidis and the acquisition of its resistance genes, understanding the true Neisseria population colonizing the human pharynx is of great significance. In this study, we carried out a five-month continuous survey of oropharyngeal carriage in a certain healthy population to reveal the long-term carriage status of different Neisseria species. Totally, 419 Neisseria strains were isolated from 203 out of 205 pharyngeal swabs of 49 participants. Using combined methods (MALDI-TOF-MS, rplF sequencing and genome sequencing), the isolates were identified as N.subflava (n = 290), N.mucosa (n = 52), N.oralis (n = 8), N.elongata group (n = 6) and non-species-confirmed (n = 63). N.subflava was isolated from all individuals and 168 swabs (81.95 %). N.mucosa, N.oralis, N.elongata and non-species-confirmed were isolated from 25 (45), 6 (7), 4 (5) and 20 (53) individuals (swabs) respectively. It was common that multiple Neisseria spp. or multiple clones of one species were isolated from a single sample. An identical strain could be isolated frequently from a single person within five months. These results indicate that Neisseria spp. and N.subflava are ubiquitous in human pharynx and both have diverse population; we should pay more attention to them when studying N.meningitidis or other respiratory pathogens; robust and handy method for identifying Neisseria species remains to be developed.

Identifiants

pubmed: 39454929
pii: S1567-1348(24)00135-7
doi: 10.1016/j.meegid.2024.105684
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105684

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declared that they have no conflicts of interest to this work.

Auteurs

Xiaoying Shan (X)

Jinan Center for Disease Control and Prevention, Jinan City, Shandong Province, PR China.

Shuang Chen (S)

Changchun University of Chinese Medicine, Changchun City, Jilin Province, PR China.

Aiying Bai (A)

Jinan Center for Disease Control and Prevention, Jinan City, Shandong Province, PR China.

Yuwen Shi (Y)

Jinan Center for Disease Control and Prevention, Jinan City, Shandong Province, PR China.

Xuanli Song (X)

Jinan Center for Disease Control and Prevention, Jinan City, Shandong Province, PR China.

Xiaoyu Yin (X)

Jinan Center for Disease Control and Prevention, Jinan City, Shandong Province, PR China.

Chunhong Duan (C)

Children's Hospital Affiliated to Shandong University, Jinan City, Shandong Province, PR China.

Jinglei Tang (J)

Jinan Laiwu center for Disease Control and Prevention, Jinan City, Shandong Province, PR China.

Xian Xia (X)

Hubei Key Laboratory of Edible Wild Plants Conservation & Utilization, Hubei Engineering Research Center of Characteristic Wild Vegetable Breeding and Comprehensive Utilization Technology, Hubei Normal University, Huangshi City, Hubei Province, PR China.

Lanzheng Liu (L)

Jinan Center for Disease Control and Prevention, Jinan City, Shandong Province, PR China. Electronic address: jinanliu2005@126.com.

Bingqing Zhu (B)

Hubei Key Laboratory of Edible Wild Plants Conservation & Utilization, Hubei Engineering Research Center of Characteristic Wild Vegetable Breeding and Comprehensive Utilization Technology, Hubei Normal University, Huangshi City, Hubei Province, PR China. Electronic address: zbqzhu@126.com.

Classifications MeSH