Preprint
Review

Beta-Lactamase Resistance Genes in Enterobacteriaceae from Nigeria

Submitted:

27 August 2020

Posted:

28 August 2020

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Abstract
This review was carried out to identify different beta-lactamase resistance genes reported in published literature from Nigeria and to determine the proportion estimates of the important beta-lactamase resistance genes in Nigeria. Sixty-three (63) articles were included in this review based on the eligibility criteria. All the beta-lactamases reported were detected from the Gram-negative bacteria, most especially from Enterobacteriaceae (n=53). Thirty-six different beta-lactamase genes have been reported from Nigeria. These genes belong to the narrow-spectrum, AmpC, extended-spectrum, and carbapenemase beta-lactamase resistance genes. Eight (8) genes (blaDHA, blaCTXM-1, blaCTXM-14, blaGES-1, blaVEB-1, blaOXA-1, blaOXA-2, and blaTEM-1) were shared between animals and humans, 5 genes (blaSHV-1, blaSHV-2, blaSHV-11, blaSHV-12, and blaNDM-1) were common to both humans and environment while none of the genes was unique to both animals and environment. Four genes including blaCMY, blaTEM-1, blaAmpC, and internationally pandemic blaCTXM-15 gene were unique to animals, humans, and the environment. No carbapenemase gene was reported from animals yet. The pooled proportion estimate of ESBL genes in Nigeria was 31% (95% CI: 26-36%, P<0.0001), while the estimate of blaCTXM-15 gene in Nigeria was 46% (95% CI: 36-57%, P<0.0001). The proportion estimate of AmpC genes was 32% (95% CI: 11-52%, P<0.001), while the estimate for carbapenemases was 8% (95% CI: 5-12%, P<0.001). This study has provided information on the beta-lactamases distribution in Nigeria. This is necessary for a better understanding of molecular epidemiology of clinically important beta-lactamases especially the extended-spectrum beta-lactamases and carbapenemases in Nigeria.
Keywords: 
Antimicrobial resistance; Beta-lactamase gene; Nigeria; Review
Subject: 
Biology and Life Sciences  -   Immunology and Microbiology
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.

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