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Open AccessArticle

Evaluation and Optimization of Antibiotics Resistance Profile against Clostridium perfringens from Buffalo and Cattle in Pakistan

1
State Key Laboratory of Veterinary Etiological Biology of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
2
Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou University, Yangzhou 225009, China
3
Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs/Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China
4
Department of Plant Pathology, University of Agriculture, Faisalabad 38000, Pakistan
5
Department of Veterinary Medicine, University of Veterinary and Animal Sciences, Outfall Road, Lahore 54000, Pakistan
*
Author to whom correspondence should be addressed.
Equally contributed as the first author.
Antibiotics 2021, 10(1), 59; https://doi.org/10.3390/antibiotics10010059
Received: 22 November 2020 / Revised: 30 December 2020 / Accepted: 4 January 2021 / Published: 8 January 2021
(This article belongs to the Special Issue Usage of Antibiotic in Agriculture and Animal Farming)
Clostridium perfringens is a serious threat to successful bovine farming. It causes severe damage to the buffalo and cattle health causing a drastic reduction in milk and meat production. In Pakistan, C. perfringens is a constant threat, and for its management, antibiotics are mostly used. Most bovine farmers use a single antibiotic to suppress the bacterial infection which in turn, increases the antimicrobial resistance (AMR) against the particular antibiotic. To reduce the resistance, the administration of multiple antibiotics in their standard doses at different times can be a possible remedy to manage the AMR and reduce their viability. This study aims to evaluate the effect of 11 commonly used antibiotics at their standard concentrations for inhibiting 33 strains of C. perfringens from five districts of Punjab province in Pakistan. Based on the zone of inhibition, ciprofloxacin, ampicillin, and cefotaxime (CAC) at their standard concentrations effectively inhibited the bacterium. These antibiotics showed appropriate significance statistically, i.e., correlation, Chi-square test, and cluster analysis. Optimization of these antibiotics using response surface methodology (RSM) revealed that the selected antibiotics from medium to high range not only reduce the bacterial propagation but also their population up to a considerable extent. Hence, the health of milk- and meat-producing large animals could be improved, which will be cost-effective and less harmful to the animal, human health, and the environment. Moreover, optimized administration of the selected antibiotics would reduce the impact of drug-resistant superbugs. View Full-Text
Keywords: Clostridium perfringens; ciprofloxacin; ampicillin; cefotaxime; optimization; response surface methodology Clostridium perfringens; ciprofloxacin; ampicillin; cefotaxime; optimization; response surface methodology
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MDPI and ACS Style

Khan, M.U.Z.; Humza, M.; Yang, S.; Iqbal, M.Z.; Xu, X.; Cai, J. Evaluation and Optimization of Antibiotics Resistance Profile against Clostridium perfringens from Buffalo and Cattle in Pakistan. Antibiotics 2021, 10, 59. https://doi.org/10.3390/antibiotics10010059

AMA Style

Khan MUZ, Humza M, Yang S, Iqbal MZ, Xu X, Cai J. Evaluation and Optimization of Antibiotics Resistance Profile against Clostridium perfringens from Buffalo and Cattle in Pakistan. Antibiotics. 2021; 10(1):59. https://doi.org/10.3390/antibiotics10010059

Chicago/Turabian Style

Khan, Muhammad U.Z.; Humza, Muhammad; Yang, Shunli; Iqbal, Muhammad Z.; Xu, Xiao; Cai, Jianping. 2021. "Evaluation and Optimization of Antibiotics Resistance Profile against Clostridium perfringens from Buffalo and Cattle in Pakistan" Antibiotics 10, no. 1: 59. https://doi.org/10.3390/antibiotics10010059

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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