Evidence map›Paper›PMID 31694531›Full record

ArticleBMC microbiology2019

Phenotypic and genotypic characterization of clinical Staphylococcus aureus isolates from Kenya.

Cecilia Kyany'a, Justin Nyasinga, Daniel Matano, Valerie Oundo, Simon Wacira, Willie Sang, Lillian Musila

Abstract readMulticenter Study
In one paragraph

Article in BMC microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
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  8. Antimicrobial resistance and clonality ofFrontiers in microbiology · 2023
    Article
  9. Characteristics ofPathogens (Basel, Switzerland) · 2022
    Article
  10. Multi-Drug ResistantAntibiotics (Basel, Switzerland) · 2022
    Article
  11. Molecular Characteristics and Antibiotic Resistance ofPathogens (Basel, Switzerland) · 2022
    Article
  12. Genomic Analysis and Antimicrobial Components of M7, anJournal of fungi (Basel, Switzerland) · 2022
    Article
  13. Article
  14. Comparative genomics of dairy-associatedFrontiers in microbiology · 2022
    Article
  15. Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Cecilia Kyany'aKenya Medical Research Institute, P. O. Box 54840-00200, Nairobi, Kenya.
Justin NyasingaTechnical University of Kenya, P.O. Box 52428-00200, Nairobi, Kenya.
Daniel MatanoKenya Medical Research Institute, P. O. Box 54840-00200, Nairobi, Kenya.
Valerie OundoKenya Medical Research Institute, P. O. Box 54840-00200, Nairobi, Kenya.
Simon WaciraKenya Medical Research Institute, P. O. Box 54840-00200, Nairobi, Kenya.
Willie SangKenya Medical Research Institute, P. O. Box 54840-00200, Nairobi, Kenya.
Lillian MusilaKenya Medical Research Institute, P. O. Box 54840-00200, Nairobi, Kenya. Lillian.musila@usamru-k.org.ORCID 0000-0003-1418-6523

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increase and spread of virulent-outbreak associated, methicillin and vancomycin resistant (MRSA/VRSA) Staphylococcus aureus require a better understanding of the resistance and virulence patterns of circulating and emerging strains globally. This study sought to establish the resistance phenotype, and strains of 32 non-duplicate clinical MRSA and MSSA S. aureus isolates from four Kenyan hospitals, identify their resistance and virulence genes and determine the genetic relationships of MRSA with global strains.

methodsAntimicrobial susceptibility profiles were determined on a Vitek 2, genomic DNA sequenced on an Illumina Miseq and isolates typed in-silico. Resistance and virulence genes were identified using ARIBA and phylogenies generated using RAxML.

resultsThe MRSA isolates were 100% susceptible to vancomycin, teicoplanin, linezolid, and tigecycline. Nine distinct CC, 12 ST and 15 spa types including the novel t17826 and STs (4705, 4707) were identified with CC8 and CC152 predominating. MRSA isolates distributed across 3 CCs; CC5-ST39 (1), CC8 - ST241 (4), a novel CC8-ST4705 (1), ST8 (1) and CC152 (1). There was > 90% phenotype-genotype concordance with key resistance genes identified only among MRSA isolates: gyrA, rpoB, and parC mutations, mecA, ant (4')-lb, aph (3')-IIIa, ermA, sat-4, fusA, mphC and msrA. Kenyan MRSA isolates were genetically diverse and most closely related to Tanzanian and UK isolates. There was a significant correlation between map, hlgA, selk, selq and cap8d virulence genes and severe infections.

conclusionThe findings showed a heterogeneous S. aureus population with novel strain types. Though limited by the low number of isolates, this study begins to fill gaps and expand our knowledge of S. aureus epidemiology while uncovering interesting patterns of distribution of strain types which should be further explored. Although last-line treatments are still effective, the potential for outbreaks of both virulent and resistant strains remain, requiring sustained surveillance of S. aureus populations.

Indexed as

Anti-Bacterial AgentsDrug Resistance, Multiple, BacterialGenotypeHumansKenyaMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsPhenotypePhylogenySequence Analysis, DNAStaphylococcal InfectionsStaphylococcus aureusVirulence FactorsAnti-Bacterial AgentsVirulence FactorsGenomeKenyaMRSAMSSAResistanceVirulence

Identifiers

PMID31694531
PMCPMC6836327

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.