Antibiotic-Resistant Arcobacter spp. in commercial and smallholder farm animals in Asante Akim North Municipality, Ghana and Korogwe Town Council, Tanzania: a cross-sectional study.
Antimicrobial resistance
Arcobacter
Arcobacter butzleri
Arcobacter cryaerophilus
Arcobacter lanthieri
Commercial farms
Ghana
Smallholder farms
Tanzania
Journal
Gut pathogens
ISSN: 1757-4749
Titre abrégé: Gut Pathog
Pays: England
ID NLM: 101474263
Informations de publication
Date de publication:
02 Dec 2023
02 Dec 2023
Historique:
received:
27
09
2023
accepted:
21
11
2023
medline:
3
12
2023
pubmed:
3
12
2023
entrez:
2
12
2023
Statut:
epublish
Résumé
Arcobacter species are considered emerging foodborne pathogens that can potentially cause serious infections in animals and humans. This cross-sectional study determined the frequency of potentially pathogenic Arcobacter spp. in both commercial and smallholder farm animals in Ghana and Tanzania. A total of 1585 and 1047 (poultry and livestock) samples were collected in Ghana and Tanzania, respectively. Selective enrichment media, along with oxidase and Gram testing, were employed for isolation of suspected Arcobacter spp. and confirmation was done using MALDI-TOF MS. Antibiotic susceptibility was assessed through disk diffusion method and ECOFFs were generated, for interpretation, based on resulting inhibition zone diameters. The overall Arcobacter frequency was higher in Ghana (7.0%, n = 111) than in Tanzania (2.0%, n = 21). The frequency of Arcobacter in commercial farms in Ghana was 10.3% (n/N = 83/805), while in Tanzania, it was 2.8% (n/N = 12/430). Arcobacter was detected in only 3.6% (n/N = 28/780) of the samples from smallholder farms in Ghana and 1.5% (n/N = 9/617) of the samples from Tanzania. For commercial farms, in Ghana, the presence of Arcobacter was more abundant in pigs (45.1%, n/N = 37/82), followed by ducks (38.5%, n/N = 10/26) and quails (35.7%, n/N = 10/28). According to MALDI-TOF-based species identification, Arcobacter butzleri (91.6%, n/N = 121/132), Arcobacter lanthieri (6.1%, n/N = 8/132), and Arcobacter cryaerophilus (2.3%, n/N = 3/132) were the only three Arcobacter species detected at both study sites. Almost all of the Arcobacter from Ghana (98.2%, n/N = 109/111) were isolated during the rainy season. The inhibition zone diameters recorded for penicillin, ampicillin, and chloramphenicol allowed no determination of an epidemiological cut-off value. However, the results indicated a general resistance to these three antimicrobials. Multidrug resistance was noted in 57.1% (n/N = 12/21) of the Arcobacter isolates from Tanzania and 45.0% (n/N = 50/111) of those from Ghana. The type of farm (commercial or smallholder) and source of the sample (poultry or livestock) were found to be associated with multi-drug resistance. The high levels of MDR Arcobacter detected from farms in both countries call for urgent attention and comprehensive strategies to mitigate the spread of antimicrobial resistance in these pathogens.
Sections du résumé
BACKGROUND
BACKGROUND
Arcobacter species are considered emerging foodborne pathogens that can potentially cause serious infections in animals and humans. This cross-sectional study determined the frequency of potentially pathogenic Arcobacter spp. in both commercial and smallholder farm animals in Ghana and Tanzania. A total of 1585 and 1047 (poultry and livestock) samples were collected in Ghana and Tanzania, respectively. Selective enrichment media, along with oxidase and Gram testing, were employed for isolation of suspected Arcobacter spp. and confirmation was done using MALDI-TOF MS. Antibiotic susceptibility was assessed through disk diffusion method and ECOFFs were generated, for interpretation, based on resulting inhibition zone diameters.
RESULTS
RESULTS
The overall Arcobacter frequency was higher in Ghana (7.0%, n = 111) than in Tanzania (2.0%, n = 21). The frequency of Arcobacter in commercial farms in Ghana was 10.3% (n/N = 83/805), while in Tanzania, it was 2.8% (n/N = 12/430). Arcobacter was detected in only 3.6% (n/N = 28/780) of the samples from smallholder farms in Ghana and 1.5% (n/N = 9/617) of the samples from Tanzania. For commercial farms, in Ghana, the presence of Arcobacter was more abundant in pigs (45.1%, n/N = 37/82), followed by ducks (38.5%, n/N = 10/26) and quails (35.7%, n/N = 10/28). According to MALDI-TOF-based species identification, Arcobacter butzleri (91.6%, n/N = 121/132), Arcobacter lanthieri (6.1%, n/N = 8/132), and Arcobacter cryaerophilus (2.3%, n/N = 3/132) were the only three Arcobacter species detected at both study sites. Almost all of the Arcobacter from Ghana (98.2%, n/N = 109/111) were isolated during the rainy season. The inhibition zone diameters recorded for penicillin, ampicillin, and chloramphenicol allowed no determination of an epidemiological cut-off value. However, the results indicated a general resistance to these three antimicrobials. Multidrug resistance was noted in 57.1% (n/N = 12/21) of the Arcobacter isolates from Tanzania and 45.0% (n/N = 50/111) of those from Ghana. The type of farm (commercial or smallholder) and source of the sample (poultry or livestock) were found to be associated with multi-drug resistance.
CONCLUSIONS
CONCLUSIONS
The high levels of MDR Arcobacter detected from farms in both countries call for urgent attention and comprehensive strategies to mitigate the spread of antimicrobial resistance in these pathogens.
Identifiants
pubmed: 38042805
doi: 10.1186/s13099-023-00588-3
pii: 10.1186/s13099-023-00588-3
pmc: PMC10693124
doi:
Types de publication
Journal Article
Langues
eng
Pagination
63Subventions
Organisme : Deutsche Forschungsgemeinschaft
ID : 649070
Informations de copyright
© 2023. The Author(s).
Références
Int J Syst Evol Microbiol. 2021 Nov;71(11):
pubmed: 34797211
Transbound Emerg Dis. 2013 Feb;60(1):9-16
pubmed: 22280210
Lett Appl Microbiol. 2021 Feb;72(2):126-132
pubmed: 33025583
J Glob Antimicrob Resist. 2019 Mar;16:130-139
pubmed: 30611931
PLoS One. 2013;8(2):e55240
pubmed: 23405126
BMC Vet Res. 2022 Jan 3;18(1):7
pubmed: 34980101
Vet Microbiol. 2003 May 19;93(2):153-8
pubmed: 12637003
Foodborne Pathog Dis. 2019 May;16(5):352-358
pubmed: 30907631
Microb Drug Resist. 2018 Sep;24(7):915-922
pubmed: 29336679
Int J Syst Evol Microbiol. 2015 Aug;65(8):2709-2716
pubmed: 25977280
World J Microbiol Biotechnol. 2019 Sep 6;35(9):146
pubmed: 31493271
East Afr Med J. 2003 Apr;80(4):218-22
pubmed: 12918807
Front Microbiol. 2017 Jul 24;8:1406
pubmed: 28790997
Front Vet Sci. 2022 Oct 24;9:1000457
pubmed: 36353252
Iran J Microbiol. 2020 Dec;12(6):531-536
pubmed: 33613907
Gut Pathog. 2020 Jan 08;12:3
pubmed: 31921357
Pathogens. 2022 Jan 24;11(2):
pubmed: 35215086
Antibiotics (Basel). 2021 Jun 30;10(7):
pubmed: 34209451
J Environ Sci Health A Tox Hazard Subst Environ Eng. 2019;54(9):840-850
pubmed: 30964378
Vet Microbiol. 2005 Jan 31;105(2):149-54
pubmed: 15627527
Crit Rev Microbiol. 2016 May;42(3):364-83
pubmed: 25806423
Compr Rev Food Sci Food Saf. 2020 Jul;19(4):2071-2109
pubmed: 33337088
Front Cell Infect Microbiol. 2023 Jan 25;13:1094067
pubmed: 36761899
Antibiotics (Basel). 2021 Apr 16;10(4):
pubmed: 33923689
J Food Prot. 2020 Apr 1;83(4):722-728
pubmed: 31855449
Ital J Food Saf. 2019 Dec 05;8(4):7859
pubmed: 31897394
Front Microbiol. 2022 Nov 04;13:983047
pubmed: 36406391
Microb Pathog. 2021 Mar;152:104649
pubmed: 33249163
Diagn Microbiol Infect Dis. 2018 Oct;92(2):164-167
pubmed: 29884563
J Food Prot. 2011 Jan;74(1):119-21
pubmed: 21219772
Antibiotics (Basel). 2021 Mar 10;10(3):
pubmed: 33802125
Vet Q. 2017 Dec;37(1):136-161
pubmed: 28438095