ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2022
Genomic surveillance of Neisseria meningitidis serogroup W in Portugal from 2003 to 2019.
Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Genomic and evolutionary insights into a novelMicrobial genomics · 2026Article
- Epidemiology and genetic diversity of invasive Neisseria meningitidis strains circulating in Portugal from 2003 to 2020.International microbiology : the official journal of the Spanish Society for Microbiology · 2024Article
- Comprehensive Genome Analysis ofInternational journal of molecular sciences · 2022Article
- Analysis on the Development and Influence of National Fitness Environment on Youth Basketball Coordination and Mental Health.Journal of environmental and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, a change in the epidemiology of meningococcal disease caused by Neisseria meningitidis serogroup W (MenW) has been observed worldwide, with the emergence of new sublineages associated with a higher rate of fatal cases. The present study intends to describe the epidemiology of invasive meningococcal disease (IMD) due to MenW in Portugal between 2003 and 2019, and to genetically characterize population structure. Despite MenW has a low incidence in Portugal, having almost disappeared from 2008 to 2015, since 2016, the number of MenW cases has been steadily increasing at a rate of ~ twofold per year, with more than 80% of the characterized isolates belonging to clonal complex 11 (cc11). Core-genome phylogeny of 25 Portuguese (PT) MenW isolates showed a strain clustering mainly either with the Original UK or the UK 2013 sublineages. Our study also reported for the first time the presence of distinct prophages with a notable overrepresentation of an ~ 32-35-kb PS_1-like prophage found in MenW cc11 genomes. The presence of the PS_1-like prophage in almost all 4723 cc11 genomes selected from Neisseria PubMLST database regardless of the capsular group they belong to suggests an ancestral acquisition of this mobile element prior to capsular switching events. Overall, by mimicking the scenario observed worldwide, this study reinforces the importance of a close monitoring of MenW disease, especially from cc11, in order to promptly adapt the vaccination plan for IMD control in Portugal. Moreover, future studies are needed to understand the putative contribution of prophages to fitness and virulence of PT MenW strains.
Indexed as
Identifiers
34787749What OpenQuestion holds
Registered trials
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.