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Gizaw F, Kekeba T, Teshome F, et al. Distribution and antimicrobial resistance profile of coagulase-negative staphylococci from cattle, equipment, and personnel on dairy farm and abattoir settings. Heliyon. 2020;6(3):e03606doi: 10.1016/j.heliyon.2020.e03606.
Gizaw, F., Kekeba, T., Teshome, F., Kebede, M., Abreham, T., Hayishe, H., Waktole, H., Tufa, T. B., Edao, B. M., Ayana, D., Abunna, F., Beyi, A. F., & Abdi, R. D. (2020). Distribution and antimicrobial resistance profile of coagulase-negative staphylococci from cattle, equipment, and personnel on dairy farm and abattoir settings. Heliyon, 6(3), e03606. https://doi.org/10.1016/j.heliyon.2020.e03606
Gizaw, Fikru, et al. "Distribution and antimicrobial resistance profile of coagulase-negative staphylococci from cattle, equipment, and personnel on dairy farm and abattoir settings." Heliyon vol. 6,3 (2020): e03606. doi: https://doi.org/10.1016/j.heliyon.2020.e03606
Gizaw F, Kekeba T, Teshome F, Kebede M, Abreham T, Hayishe H, Waktole H, Tufa TB, Edao BM, Ayana D, Abunna F, Beyi AF, Abdi RD. Distribution and antimicrobial resistance profile of coagulase-negative staphylococci from cattle, equipment, and personnel on dairy farm and abattoir settings. Heliyon. 2020 Mar 31;6(3):e03606. doi: 10.1016/j.heliyon.2020.e03606. eCollection 2020 Mar. PMID: 32258466; PMCID: PMC7114745.
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Heliyon. 2020 Mar 31;6(3):e03606. doi: 10.1016/j.heliyon.2020.e03606. eCollection 2020 Mar.

Distribution and antimicrobial resistance profile of coagulase-negative staphylococci from cattle, equipment, and personnel on dairy farm and abattoir settings.

Heliyon

Fikru Gizaw, Tolera Kekeba, Fikadu Teshome, Matewos Kebede, Tekeste Abreham, Halefom Hayishe, Hika Waktole, Takele Beyene Tufa, Bedaso Mammo Edao, Dinka Ayana, Fufa Abunna, Ashenafi Feyisa Beyi, Reta Duguma Abdi

Affiliations

  1. Samara University, College of Veterinary Medicine and Agriculture, P. O. Box 3015, Samara, Afar, Ethiopia.
  2. Addis Ababa University, College of Veterinary Medicine and Agriculture, P.O. Box 34, Bishoftu, Oromia, Ethiopia.
  3. Department of Biomedical Sciences, College of Veterinary Medicine, Long Island University, Greenvale, New York, 11548, USA.

PMID: 32258466 PMCID: PMC7114745 DOI: 10.1016/j.heliyon.2020.e03606

Abstract

BACKGROUND: Safe food is central to social wellbeing. Coagulase-negative staphylococci (CNS) are a threat to food safety because they may harbor multiple enterotoxins and antimicrobial resistance (AMR) genes. CNS bacteria are an emerging nosocomial pathogen in public health. CNS also cause bovine mastitis with a significant economic loss in the dairy industry and may introduce toxins to the food supply chain resulting in foodborne illnesses. However, information on CNS and their AMR status are scarce in food animal production and processing lines in Ethiopia.

METHODOLOGY: This cross-sectional study evaluated the prevalence and AMR patterns of CNS in dairy farms and abattoirs using samples (n = 1001) from udder milk, beef carcass, personnel, and different abattoir and dairy equipment across five locations of central Oromia. The CNS isolates were identified via standard microbiological protocols and evaluated using disc diffusion test against 14 antimicrobials belonging to nine different broad classes. Uni-and-multivariable logistic regressions were used to analyze the association between potential risk factors (location, sample source, and sample type) and positivity to CNS.

RESULTS: The overall prevalence of CNS in the five different geographic locations studied was 9.6% (range: 6.7-12.4%) and varied between abattoirs (11.3%) and dairy farms (8.0%). CNS were prevalent on the carcass, milk, equipment, personnel hands, and nasal samples. Of all CNS isolates, 7.1, 10.7, 7.1, 12.5, 17.9, 10.7, 12.5, 7.1, 1.8, 5.4, 1.8, and 5.4% exhibited AMR simultaneously to single, double, 3, 4, 5, 6, 7, 7, 8, 9, 10, 11, and 13 antimicrobials, respectively. Overall, the isolates displayed 51 different AMR phenotypic patterns in which 50% of the isolates exhibited quadruple-resistance simultaneously based on the nine broad antimicrobial classes tested using 14 representative antimicrobials. The prevalence of multidrug-resistant (MDR) CNS (i.e. ≥ 3 classes of antimicrobials) was significantly (p = 0.037) different between locations with 100, 57.1, 50, 86.7, and 76.9% in Addis Ababa, Adama, Assela, Bishoftu, and Holeta, respectively. However, the prevalence of MDR CNS was not significantly (p = 0.20) different between dairy farms (87.5%) and abattoirs (71.9%). We evaluated the effect of acquiring cefoxitin-resistance of the isolates on the efficacy (i.e. inhibition zone) of the rest antimicrobials using General Linear Model after adjusting geographical locations as a random effect. Isolates with cefoxitin-resistance significantly displayed resistance to eight antimicrobials of 14 tested including amoxicillin, penicillin, cloxacillin, chloramphenicol, nalidixic acid, nitrofurantoin, and tetracycline (p = 0.000), and erythromycin (p = 0.02). On the other hand, cefoxitin-resistant isolates were susceptible to gentamicin, ciprofloxacin, kanamycin, streptomycin, and sulphamethoxazone trimethoprim (p = 0.000). Thus, antimicrobials such as gentamicin and ciprofloxacin may be an alternative therapy to treat cefoxitin-resistant CNS, as 96.4% of CNS isolates were susceptible to these antimicrobials. Overall, 94.1 and 54.5% of the CNS isolates among cefoxitin-resistant and cefoxitin-susceptible, respectively, harbored resistance to 3 or more classes of antimicrobials i.e. MDR.

CONCLUSION: The overall prevalence of CNS in milk, meat, equipment, and food handlers in central Oromia was 9.6% but varied by location and sample source. Some specific niches such as equipment, hands, and nasal cavities of personnel are significant sites for the source of CNS. Most, but not all, MDR CNS isolates were cefoxitin-resistant. Overall, 78.6% of the CNS tested were MDR and 50% had resistance to four or more broad classes of antimicrobials. CNS in food animals (raw milk and meat), equipment, and food handlers can be the source of MDR to the public. Personnel safety and hygienic food handling practices are needed. In addition, further investigation into the risk factors for the transmission and mechanisms of resistance of the CNS is required for intervention.

© 2020 Published by Elsevier Ltd.

Keywords: Antibiotic resistance; Antimicrobial resistance; Bacteria; CNS; Epidemiology; Food hygiene; Food safety; Livestock; Microbial ecology of foods; Microbiology; Multidrug resistance; Prevalence; Staphylococcus

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