CoChat
Sign Up
Cited by 7Antimicrobial Resistance in StaphylococcusInfections and bacterial resistanceAntibiotic Use and Resistance

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Molecular epidemiology and antibiotic resistance of staphylococci other than Staphylococcus aureus in children in Cape Town, South Africa

Open access
Ocloo, Remous, Newton-Foot, Mae, Ziebuhr, Wilma, Whitelaw, Andrew Christopher·2023·Frontiers in Microbiology
DOI 10.3389/fmicb.2023.1239666PMC PMC10437061
Open this paper in CoChat — free account

Abstract

Introduction: Staphylococci other than Staphylococcus aureus (SOSA) have emerged as significant pathogens in healthcare settings, particularly among patients with indwelling devices and immunocompromised individuals. Staphylococcus epidermidis, Staphylococcus haemolyticus and Staphylococcus hominis are the most common commensal SOSA species and are implicated in infections such as endocarditis and bacteremia. SOSA infections in neonates and children have been reported globally. Recent increases in antibiotic resistance and virulence among SOSA strains in clinical settings have highlighted the need to describe the reservoirs of SOSA to enable monitoring of these emerging pathogens. Methods: Stool samples were collected from 150 healthy children from Cape Town communities between 2017 and 2020. Staphylococci were isolated, identified using mass-spectrometry, and antimicrobial susceptibility testing and Illumina whole genome sequencing were performed. Results: Among the participants, 50 (33.3%) were colonized by SOSA, with S. haemolyticus (n = 38; 25.3%) being the most common, followed by S. hominis (n = 5; 3.3%) and Mammalicoccus sciuri (n = 5; 3.3%). Out of the 77 initially isolated S. haemolyticus strains, 23 were identified as Staphylococcus borealis through whole genome sequencing. All S. haemolyticus isolates (n = 49) were methicillin resistant, with 65.3% (n = 32) harbouring mecA. In S. haemolyticus, SCC mec type VIII(4A) was detected in 42.0% of ST9 isolates while non-mecA methicillin resistant S. haemolyticus isolates were mostly ST49 (41.1%). Additionally, 16 (50.0%) S. haemolyticus strains contained non-typeable SCC mec elements. Discussion: High rates of methicillin resistance were identified among colonizing SOSA in Cape Town, increasing the risk of transmission to clinical settings. This study also identified a new species, S. borealis, for the first time in Africa.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fmicb.2023.1239666

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. 2020, Performance standards for Antimicrobial Susceptibility Testing

Cited by

Sorted by citations

Related

Metadata

Authors
Ocloo, R., Newton-Foot, M., Ziebuhr, W., & Whitelaw, A. C.
Affiliations
  • Stellenbosch University (ZA)
  • National Health Laboratory Service (ZA)
  • University of Würzburg (DE)
Corresponding author
Ocloo, Remous
ORCID
Venue
Frontiers in Microbiology
Publisher
Frontiers Media SA
Published
2023-08-02
Volume
14
Pages
1239666-1239666
ISSN
1664-302X (ISSN-L)
DOI
10.3389/fmicb.2023.1239666
PMC
PMC10437061
OpenAlex
W4385576939
Cited by
7
References
30
Citations by year
2026: 2 · 2025: 3 · 2024: 2
FWCI
1.45
Type
journal article
Language
en
Open access
Licence
Locations
  • Frontiers in Microbiology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Online Publication Service of Würzburg University (Würzburg University) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Deutsche Forschungsgemeinschaft (ZI665/3–1)
  • Bundesministerium für Bildung und Forschung (01KI2009E)
  • Harry Crossley Foundation
Topics
  • Health Sciences › Medicine › Infectious Diseases › Antimicrobial Resistance in Staphylococcus
  • Health Sciences › Medicine › Microbiology (medical) › Infections and bacterial resistance
  • Health Sciences › Medicine › Infectious Diseases › Antibiotic Use and Resistance
Keywords
Staphylococcus haemolyticus, Staphylococcus hominis, Staphylococcus epidermidis, methicillin resistance, mecA gene, SCCmec typing, molecular epidemiology, intestinal colonization, antimicrobial resistance, Cape Town

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review