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Prevalence of Antibiotic Residues in Pork in Kenya and the Potential of Using Gross Pathological Lesions as a Risk-Based Approach to Predict Residues in Meat

The human population is growing and urbanising. These factors are driving the demand for animal-sourced proteins. The rising demand is favouring livestock intensification, a process that frequently relies on antibiotics for growth promotion, treatment and prevention of diseases. Antibiotic use in li...

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Autores principales: Bor, Nicholas, Seguino, Alessandro, Sentamu, Derrick Noah, Chepyatich, Dorcas, Akoko, James M., Muinde, Patrick, Thomas, Lian F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10044564/
https://www.ncbi.nlm.nih.gov/pubmed/36978359
http://dx.doi.org/10.3390/antibiotics12030492
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author Bor, Nicholas
Seguino, Alessandro
Sentamu, Derrick Noah
Chepyatich, Dorcas
Akoko, James M.
Muinde, Patrick
Thomas, Lian F.
author_facet Bor, Nicholas
Seguino, Alessandro
Sentamu, Derrick Noah
Chepyatich, Dorcas
Akoko, James M.
Muinde, Patrick
Thomas, Lian F.
author_sort Bor, Nicholas
collection PubMed
description The human population is growing and urbanising. These factors are driving the demand for animal-sourced proteins. The rising demand is favouring livestock intensification, a process that frequently relies on antibiotics for growth promotion, treatment and prevention of diseases. Antibiotic use in livestock production requires strict adherence to the recommended withdrawal periods. In Kenya, the risk of residues in meat is particularly high due to lack of legislation requiring testing for antibiotic residues in meat destined for the local market. We examined pig carcasses for gross pathological lesions and collected pork samples for antibiotic residue testing. Our aim was to determine if a risk-based approach to residue surveillance may be adopted by looking for an association between lesions and presence of residues. In total, 387 pork samples were tested for antibiotic residues using the Premi(®)Test micro-inhibition kit. The prevalence of antibiotic residues was 41.26% (95% CI, 34.53–48.45%). A logistic regression model found no significant associations between gross pathological lesions and the presence of antibiotic residues. We recommend that the regulating authorities strongly consider routine testing of carcasses for antibiotic residues to protect meat consumers. Future studies should research on farming practices contributing to the high prevalence of residues.
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spelling pubmed-100445642023-03-29 Prevalence of Antibiotic Residues in Pork in Kenya and the Potential of Using Gross Pathological Lesions as a Risk-Based Approach to Predict Residues in Meat Bor, Nicholas Seguino, Alessandro Sentamu, Derrick Noah Chepyatich, Dorcas Akoko, James M. Muinde, Patrick Thomas, Lian F. Antibiotics (Basel) Article The human population is growing and urbanising. These factors are driving the demand for animal-sourced proteins. The rising demand is favouring livestock intensification, a process that frequently relies on antibiotics for growth promotion, treatment and prevention of diseases. Antibiotic use in livestock production requires strict adherence to the recommended withdrawal periods. In Kenya, the risk of residues in meat is particularly high due to lack of legislation requiring testing for antibiotic residues in meat destined for the local market. We examined pig carcasses for gross pathological lesions and collected pork samples for antibiotic residue testing. Our aim was to determine if a risk-based approach to residue surveillance may be adopted by looking for an association between lesions and presence of residues. In total, 387 pork samples were tested for antibiotic residues using the Premi(®)Test micro-inhibition kit. The prevalence of antibiotic residues was 41.26% (95% CI, 34.53–48.45%). A logistic regression model found no significant associations between gross pathological lesions and the presence of antibiotic residues. We recommend that the regulating authorities strongly consider routine testing of carcasses for antibiotic residues to protect meat consumers. Future studies should research on farming practices contributing to the high prevalence of residues. MDPI 2023-03-01 /pmc/articles/PMC10044564/ /pubmed/36978359 http://dx.doi.org/10.3390/antibiotics12030492 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bor, Nicholas
Seguino, Alessandro
Sentamu, Derrick Noah
Chepyatich, Dorcas
Akoko, James M.
Muinde, Patrick
Thomas, Lian F.
Prevalence of Antibiotic Residues in Pork in Kenya and the Potential of Using Gross Pathological Lesions as a Risk-Based Approach to Predict Residues in Meat
title Prevalence of Antibiotic Residues in Pork in Kenya and the Potential of Using Gross Pathological Lesions as a Risk-Based Approach to Predict Residues in Meat
title_full Prevalence of Antibiotic Residues in Pork in Kenya and the Potential of Using Gross Pathological Lesions as a Risk-Based Approach to Predict Residues in Meat
title_fullStr Prevalence of Antibiotic Residues in Pork in Kenya and the Potential of Using Gross Pathological Lesions as a Risk-Based Approach to Predict Residues in Meat
title_full_unstemmed Prevalence of Antibiotic Residues in Pork in Kenya and the Potential of Using Gross Pathological Lesions as a Risk-Based Approach to Predict Residues in Meat
title_short Prevalence of Antibiotic Residues in Pork in Kenya and the Potential of Using Gross Pathological Lesions as a Risk-Based Approach to Predict Residues in Meat
title_sort prevalence of antibiotic residues in pork in kenya and the potential of using gross pathological lesions as a risk-based approach to predict residues in meat
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10044564/
https://www.ncbi.nlm.nih.gov/pubmed/36978359
http://dx.doi.org/10.3390/antibiotics12030492
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