Systematic review and meta-analysis of integrated studies on antimicrobial resistance genes in Africa-A One Health perspective.

Nora A Escher, Abdifatah M Muhummed, Jan Hattendorf, Pascale Vonaesch, Jakob Zinsstag
Author Information
  1. Nora A Escher: Swiss Tropical and Public Health Institute, Basel, Switzerland.
  2. Abdifatah M Muhummed: Swiss Tropical and Public Health Institute, Basel, Switzerland.
  3. Jan Hattendorf: Swiss Tropical and Public Health Institute, Basel, Switzerland.
  4. Pascale Vonaesch: Swiss Tropical and Public Health Institute, Basel, Switzerland.
  5. Jakob Zinsstag: Swiss Tropical and Public Health Institute, Basel, Switzerland.

Abstract

BACKGROUND: 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.
OBJECTIVE: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSION: 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.

Keywords

References

  1. Microbiome. 2016 Oct 7;4(1):54 [PMID: 27717408]
  2. BMJ. 2017 Sep 5;358:j2687 [PMID: 28874365]
  3. Infect Ecol Epidemiol. 2016 May 18;6:31055 [PMID: 27197617]
  4. Int J Antimicrob Agents. 2012 Apr;39(4):305-10 [PMID: 22325120]
  5. Pathogens. 2020 May 08;9(5): [PMID: 32397188]
  6. Science. 2012 Aug 31;337(6098):1107-11 [PMID: 22936781]
  7. Front Microbiol. 2019 May 31;10:1114 [PMID: 31214130]
  8. Trop Med Infect Dis. 2019 Jan 29;4(1): [PMID: 30700019]
  9. Appl Environ Microbiol. 2016 Oct 27;82(22):6672-6681 [PMID: 27613679]
  10. J Med Microbiol. 2013 Apr;62(Pt 4):499-513 [PMID: 23329317]
  11. Proc Biol Sci. 2018 Apr 11;285(1876): [PMID: 29643217]
  12. Nature. 2016 May 11;533(7602):212-6 [PMID: 27172044]
  13. J Natl Cancer Inst. 1959 Apr;22(4):719-48 [PMID: 13655060]
  14. Nature. 2011 Oct 30;480(7376):241-4 [PMID: 22037308]
  15. Nat Rev Microbiol. 2007 Mar;5(3):175-86 [PMID: 17277795]
  16. Vet Microbiol. 2020 Jan;240:108539 [PMID: 31902492]
  17. Nat Commun. 2013;4:2151 [PMID: 23877117]
  18. Clin Infect Dis. 2016 Aug 1;63(3):310-8 [PMID: 27143671]
  19. ISME J. 2015 Nov;9(11):2490-502 [PMID: 25918831]
  20. Appl Environ Microbiol. 2012 May;78(10):3668-73 [PMID: 22407683]
  21. PLoS One. 2020 May 29;15(5):e0231852 [PMID: 32469885]
  22. J Antimicrob Chemother. 2018 May 1;73(5):1121-1137 [PMID: 29370371]
  23. Philos Trans R Soc Lond B Biol Sci. 2015 Jun 5;370(1670):20140083 [PMID: 25918441]
  24. J Lab Clin Med. 2002 Sep;140(3):135-41 [PMID: 12271270]
  25. Microb Genom. 2019 Jul;5(7): [PMID: 31107206]
  26. Lancet Infect Dis. 2019 Jan;19(1):4-6 [PMID: 30409682]
  27. Trop Med Int Health. 2021 Oct;26(10):1153-1163 [PMID: 34139031]
  28. Eur J Clin Microbiol Infect Dis. 2016 Feb;35(2):227-34 [PMID: 26634353]
  29. Clin Infect Dis. 2018 Mar 5;66(6):963-969 [PMID: 29346620]

MeSH Term

Africa
Animals
Anti-Bacterial Agents
Bacteria
Bacterial Infections
Drug Resistance, Bacterial
Humans
One Health

Chemicals

Anti-Bacterial Agents

Word Cloud

Created with Highcharts 10.0.0AMRhumansanimalsstudiesOneHealthAfricaantimicrobialresistanceenvironmentreviewmeta-analysisgenes0%8%maindriversprevalencesamplesdata1stcriteriaassessingincludedprevalentsul1sul2tetAstrB30blaTEM42perspectiveintegratedBACKGROUND:IncreasingraisesserioushealthfinancialconcernsHoweveremergencespreadsubsequentcolonisationresistantbacterialstrainsstillpoorlyunderstoodOBJECTIVE:aimidentifymolecularsettingsdetermineDuelownumberincludingenvironmentalincludesobtainedMETHODS:PubMedWebScienceScopusdatabasessearchedidentifying10 464publicationsJanuary2000June2020Inclusionwere:Integratedsimultaneouslyanimal-humananimal-environmenthuman-environmentanimal-human-environmentcontextiiGenotypiccharacterisationiiitemporalspatialrelationshipStatisticalrandom-effectsmodelperformedRESULTS:Overall18meteligibilitySixinvestigatedEscherichiacoliSalmonellasppN = 6362%32315%whereas4%349%2827observedclearpatternhighereitheranimalhumanreservoirCONCLUSION:datescarceProspectivelongitudinalusingapproachtimeneededbetterunderstandsharingSystematicAfrica-Asystematic

Similar Articles

Cited By (15)