Titre
Systematic review and meta-analysis of integrated studies on antimicrobial resistance genes in Africa-A One Health perspective.
Type
article
Institution
Externe
Périodique
Auteur(s)
Escher, N.A.
Auteure/Auteur
Muhummed, A.M.
Auteure/Auteur
Hattendorf, J.
Auteure/Auteur
Vonaesch, P.
Auteure/Auteur
Zinsstag, J.
Auteure/Auteur
Liens vers les personnes
ISSN
1365-3156
Statut éditorial
Publié
Date de publication
2021-10
Volume
26
Numéro
10
Première page
1153
Dernière page/numéro d’article
1163
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't ; Systematic Review
Publication Status: ppublish
Publication Status: ppublish
Résumé
Increasing antimicrobial resistance (AMR) raises serious health and financial concerns. However, the main drivers of the emergence, spread and subsequent colonisation of resistant bacterial strains between humans, animals and the environment are still poorly understood.
The aim of this review was to identify molecular studies on AMR in One Health settings in Africa and to determine the prevalence of antimicrobial resistance genes in humans, animals and the environment. Due to the very low number of studies including environmental samples, the meta-analysis only includes data obtained from animals and humans.
The PubMed, Web of Science and Scopus databases were searched, identifying 10 464 publications on AMR in Africa from January 1st, 2000 until June 1st, 2020. Inclusion criteria were: (i) Integrated studies assessing AMR simultaneously in an animal-human, animal-environment, human-environment or animal-human-environment context, (ii) Genotypic characterisation of AMR and (iii) temporal and spatial relationship between samples from humans and animals. Statistical random-effects model meta-analysis was performed.
Overall, 18 studies met our eligibility criteria and were included in this review. Six studies investigated Escherichia coli and Salmonella spp. (N = 6). The most prevalent AMR genes in animals included sul1 (36.2%), sul2 (32.0%), tetA (31.5%), strB (30.8%) and blaTEM (30.0%), whereas sul2 (42.4%), tetA (42.0%), strB (34.9%), blaTEM (28.8%) and sul1 (27.8%) were most prevalent in humans. We observed no clear pattern for a higher prevalence in either the animal or the human reservoir.
To date, data on AMR in a One Health perspective in Africa are scarce. Prospective and longitudinal studies using an integrated One Health approach assessing the environment, animals and humans at the same time are needed to better understand the main drivers of AMR sharing in Africa.
The aim of this review was to identify molecular studies on AMR in One Health settings in Africa and to determine the prevalence of antimicrobial resistance genes in humans, animals and the environment. Due to the very low number of studies including environmental samples, the meta-analysis only includes data obtained from animals and humans.
The PubMed, Web of Science and Scopus databases were searched, identifying 10 464 publications on AMR in Africa from January 1st, 2000 until June 1st, 2020. Inclusion criteria were: (i) Integrated studies assessing AMR simultaneously in an animal-human, animal-environment, human-environment or animal-human-environment context, (ii) Genotypic characterisation of AMR and (iii) temporal and spatial relationship between samples from humans and animals. Statistical random-effects model meta-analysis was performed.
Overall, 18 studies met our eligibility criteria and were included in this review. Six studies investigated Escherichia coli and Salmonella spp. (N = 6). The most prevalent AMR genes in animals included sul1 (36.2%), sul2 (32.0%), tetA (31.5%), strB (30.8%) and blaTEM (30.0%), whereas sul2 (42.4%), tetA (42.0%), strB (34.9%), blaTEM (28.8%) and sul1 (27.8%) were most prevalent in humans. We observed no clear pattern for a higher prevalence in either the animal or the human reservoir.
To date, data on AMR in a One Health perspective in Africa are scarce. Prospective and longitudinal studies using an integrated One Health approach assessing the environment, animals and humans at the same time are needed to better understand the main drivers of AMR sharing in Africa.
PID Serval
serval:BIB_1538F8F549E3
PMID
URL éditeur
Date de création
2022-08-12T13:26:17.141Z
Date de création dans IRIS
2025-05-20T14:17:21Z