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ORIGINAL RESEARCH article
Front. Microbiol.
Sec. Food Microbiology
Volume 16 - 2025 |
doi: 10.3389/fmicb.2025.1500007
Resistance in the Microbial Ecology of Raw Milk: Critical Public Health Implications
Provisionally accepted- 1 Silesian University of Technology, Gliwice, Poland
- 2 Lady Reading Hospital Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan
- 3 Khyber Girls Medical College Peshawar, Pakistan, Peshawar, Khyber Pakhtunkhwa, Pakistan
Introduction: Antibiotic resistance (AMR) poses a significant global public health threat, with raw milk emerging as a potential vector for resistant pathogens. In Khyber Pakhtunkhwa (KP), Pakistan, where regulatory oversight is limited, the prevalence of antimicrobial-resistant bacteria in raw milk remains understudied.Methods: We analyzed raw milk samples from high-risk districts in KP, Pakistan, identifying microbial species and assessing their antibiotic resistance profiles. Bacterial isolates were identified through standard microbiological methods, and antibiotic resistance was determined using disk diffusion assays.Results: Escherichia coli was the most prevalent bacterial species, accounting for 70% of isolates, followed by Shigella (41.66%) and Staphylococcus aureus (40.83%). Resistance patterns revealed alarming levels of multidrug resistance (MDR), particularly among S. aureus, with 55.2% of strains resistant to six or more antibiotics. Additionally, 75.1% of E. coli isolates were resistant to commonly used antibiotics such as Amoxicillin (22.66%) and Doxycycline (40%).Discussion: These findings challenge the perception of moderate antibiotic resistance in the region and highlight the escalating threat posed by antibiotic-resistant pathogens in raw milk. The results emphasize the need for improved food safety regulations, enhanced surveillance systems, and community awareness campaigns to mitigate public health risks. This study underscores the broader implications of antimicrobial
Keywords: antibiotic resistance, raw milk, Public Health, microbial ecology, Food Safety
Received: 22 Sep 2024; Accepted: 13 Jan 2025.
Copyright: © 2025 Khan, Khan and Pari. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ruby Khan, Silesian University of Technology, Gliwice, Poland
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