ArticleCurrent microbiology2010
Characterization of virulence factors and genetic background of Staphylococcus aureus isolated from Peking University People's Hospital between 2005 and 2009.
Article in Current microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 24 citations in OpenAlex.
- Review
- Molecular and Anti-Microbial Resistance (AMR) Profiling of Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2021Article
- Review
- High frequency of exfoliative toxin genes amongIranian journal of microbiology · 2018Article
- Distribution of tsst-1 and mecA Genes in Staphylococcus aureus Isolated From Clinical Specimens.Jundishapur journal of microbiology · 2016Article
- Molecular and phenotypic characterization of methicillin-resistant Staphylococcus aureus isolates from a tertiary hospital in the Philippines.Tropical medicine and health · 2016Article
- Article
- Involvement of methicillin-susceptible Staphylococcus aureus related to sequence type 25 and harboring pvl genes in a case of carotid cavernous fistula after community-associated sepsis.Journal of clinical microbiology · 2012Article
- Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to investigate both the genetic features of MRSA strains and the occurrence of virulence factors produced by Staphylococcus aureus strains isolated from Peking University People's Hospital in Beijing, China, between 2005 and 2009. A total of 179 S. aureus strains were isolated, 139 of which were MRSA. The MRSA strains were characterized epidemiologically by SCCmec typing, spa typing and agr typing, then were classified into different genetic groups. The prevalence of genes coding for 14 exotoxins and eight adhesion factors among the S. aureus samples was assessed via polymerase chain reaction. Cluster analysis based on virulence factors-encoding gene content was performed to divide the MRSA isolates into valid clusters. Correspondence analysis was done to analyze the correlation between virulence factors clusters and genetic groups. JCSC1716-agrI-t030 (67.6%), SCCmec-IIIA-agrI-t030 (14.4%), SCCmec-IIIA-agrI-t037 (8.6%) and SCCmecII-agrII-t002 (2.2%) were four predominant MRSA clones. PVL was positive only in MSSA strains, there were at least three superantigenic toxins in our HA-MRSA clones, the prevalence of 16 virulence factors genes (sea, seb, sec, sed, seg, sei, sej, pvl, lukE-lukD, eta, bbp, can, ebp, clfA, fib, fnbB) in MRSA and MSSA was found to be significantly different from MSSA (P < 0.05). Results of correspondence analysis among clusters based on virulence factors genes and groups based on genetic typing illustrated not only the correspondence relationship between groups and clusters overall (P < 0.001), but also the genetic diversity of MRSA strains with respect to virulence factors genes.
Indexed as
Identifiers
What 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.