Cited by 55Antibiotic Resistance in BacteriaAntibiotic Use and ResistanceInfections and bacterial resistance

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.

Detection of diverse carbapenem and multidrug resistance genes and high-risk strain types among carbapenem non-susceptible clinical isolates of target gram-negative bacteria in Kenya

Open access

Abstract

Carbapenem-resistant gram-negative bacteria are an increasingly significant clinical threat globally. This risk may be underestimated in Kenya as only four carbapenemase genes in three bacterial species have been described. The study aimed to understand the antibiotic resistance profiles, genes, sequence types, and distribution of carbapenem-resistant gram-negative bacteria from patients in six hospitals across five Kenyan counties by bacterial culture, antibiotic susceptibility testing, and whole-genome sequence analysis. Forty-eight, non-duplicate, carbapenem non-susceptible, clinical isolates were identified across the five counties (predominantly in Nairobi and Kisii): twenty-seven Acinetobacter baumannii, fourteen Pseudomonas aeruginosa, three Escherichia coli, two Enterobacter cloacae, and two Klebsiella pneumoniae. All isolates were non-susceptible to β-lactam drugs with variable susceptibility to tigecycline (66%), minocycline (52.9%), tetracycline (29.4%), and levofloxacin (22.9%). Thirteen P. aeruginosa isolates were resistant to all antibiotics tested. Eleven carbapenemase genes were identified: blaNDM-1, blaOXA-23, -58, -66, -69, and -91 in A. baumannii (STs 1, 2, 164 and a novel ST1475), blaNDM-1 in E. cloacae (STs 25,182), blaNDM-1, blaVIM-1and -6, blaOXA-50 in P. aeruginosa (STs 316, 357, 654, and1203), blaOXA-181, blaNDM-1 in K. pneumoniae (STs 147 and 219), and blaNDM-5 in E. coli (ST164). Five A. baumannii isolates had two carbapenemases, blaNDM-1, and either blaOXA-23 (4) or blaOXA-58 (1). AmpC genes were detected in A. baumannii (blaADC-25), E. cloacae (blaDHA-1 and blaACT-6, 16), and K. pneumoniae (bla CMY). Significant multiple-drug resistant genes were the pan-aminoglycoside resistance16srRNA methyltransferase arm A, rmt B, rmt C, and rmt F genes. This study is the first to report blaOXA-420, -58, -181, VIM-6, and blaNDM-5 in Kenyan isolates. High-risk STs of A. baumannii (ST1475, ST2), E. cloacae ST182, K. pneumoniae ST147, P. aeruginosa (ST357, 654), and E. coli ST167, ST648 were identified which present considerable therapeutic danger. The study recommends urgent carbapenem use regulation and containment of high-risk carbapenem-resistant bacteria.

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 · 10.1371/journal.pone.0246937

Cites

71 of 71 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig 1 The geographical distribution of the carbapenem non-susceptible gram-negative bacteria and carbapenemase genes in five Kenyan counties. The map of Kenya with the study counties highlighted. The pie charts indicate the distribution of bacterial species, carbapenemase genes identified and the number of each isolate type detected. This custom map was generated in-house using the ArcGIS software Version 10.3.1 (Environmental Systems Research Institute, Red-lands, CA, USA).
Fig 1 The geographical distribution of the carbapenem non-susceptible gram-negative bacteria and carbapenemase genes in five Kenyan counties. The map of Kenya with the study counties highlighted. The pie charts indicate the distribution of bacterial species, carbapenemase genes identified and the number of each isolate type detected. This custom map was generated in-house using the ArcGIS software Version 10.3.1 (Environmental Systems Research Institute, Red-lands, CA, USA).CC BY · PubMed Central

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

Research works printed but not linked: 2

  1. World Health Organization, 2014, Antimicrobial Resistance: Global Report on Surveillance
  2. KJS Mukaya, 2018, Antimicrobial Resistance Profile and Genetic Profiling of Pseudomonas aeruginosa Strains Obtained from Different Inpatient Wards at Kenyatta National Hospital, IOSR Journal of Pharmacy and Biological Sciences (IOSR-JPBS), 13

Cited by

Sorted by citations

See all 55

Metadata

Authors
Musila, L., Kyany’a, C., Maybank, R., Stam, J., Oundo, V., & Sang, W.
Affiliations
  • United States Army Medical Research Directorate - Africa (KE)
  • Walter Reed Army Institute of Research (US)
Corresponding author
Musila, Lillian
Venue
PLOS ONE
Published
2021-02-22
Volume
16
Issue
2
Pages
e0246937
ISSN
1932-6203 (ISSN-L)
OpenAlex
W3132704259
Cited by
55
References
71
Citations by year
2026: 4 · 2025: 8 · 2024: 9 · 2023: 11 · 2022: 18 · 2021: 5
FWCI
3.41
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Armed Forces Health Surveillance Branch (PROMIS ID 20160270153 FY17)
Topics
  • Health Sciences › Medicine › Microbiology (medical) › Antibiotic Resistance in Bacteria
  • Health Sciences › Medicine › Infectious Diseases › Antibiotic Use and Resistance
  • Health Sciences › Medicine › Microbiology (medical) › Infections and bacterial resistance
Keywords
carbapenem resistance, carbapenemase genes, multidrug resistance, Acinetobacter baumannii, Pseudomonas aeruginosa, Escherichia coli, Enterobacter cloacae, Klebsiella pneumoniae, NDM-1, OXA-23, OXA-58, VIM-1, AmpC beta-lactamase, sequence types, antimicrobial resistance surveillance, Kenya, clinical isolates, whole genome sequencing, tigecycline
MeSH terms
Anti-Bacterial Agents, Genes, Bacterial, Gram-Negative Bacteria, Humans, Kenya, Carbapenems, Gram-Negative Bacterial Infections, Genes, MDR, Drug Resistance, Bacterial

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