Literature DB >> 35641718

Antimicrobial usage and associated residues and resistance emergence in smallholder beef cattle production systems in Nigeria: A One Health challenge.

Nma Bida Alhaji1,2, Ismail Ayoade Odetokun3, Andrew Musa Adamu4, Abubakar Hassan5, Mohammed Kabiru Lawan6, Folorunso Oludayo Fasina7.   

Abstract

Livestock intensification has facilitated antimicrobial use (AMU) with consequent antimicrobial resistance (AMR) development. We assessed AMU in beef farms, pathways for residues and resistance dissemination to humans, risk status, residues identification, and drivers for antimicrobial residues and resistance emergence in beef cattle production systems. A cross-sectional survey was conducted in randomly selected beef farms of Northern Nigeria, between 2018 and 2019. Traffic Light model and Disc Diffusion Test were used to assess risk status and determined residues, respectively. Data was analyzed using descriptive statistics and logistic regression models at 95% confidence level. About 92% (n = 608) farmers participated. The majority of farmers managing intensive (78.9%) and semi-intensive (76.6%) farms did not follow antimicrobial dosage instructions. Also, 72.4% and 83.9% of the farmers on intensive and semi-intensive systems, respectively, did not observed withdrawal periods after AMU. Furthermore, 71.5% farmers in intensive and 53.2% in semi-intensive farms used antimicrobials as growth promoters. Antimicrobials frequently used include tetracyclines, sulfonamides and penicillin. Antimicrobial residues and resistance dissemination pathways from beef herds were: consumption of contaminated meat with residues (p = 0.007); contacts with contaminated cattle and fomites (p < 0.001); and contaminated manure and aerosols in farm environment (p = 0.003). Significant drivers of residues and resistance emergence were antimicrobial misuse and overuse (OR = 2.72; 95% CI:1.93-3.83), non-enforcement of laws (OR = 2.98; 95% CI:2.11-4.21), poor education and expertise (OR = 1.52; 95% CI:1.09-2.12), and husbandry management system (OR = 10.24; 95% CI:6.75-15.54). The majority of intensive (63.6%) and semi-intensive (57.63%) farm systems belonged to Class 3 (Red risk) status. Antimicrobial residues were detected in 48.4% intensively and 34.4% semi-intensively managed farms. The study revealed poor practices of AMU in beef cattle production. Many factors were found to influenced antimicrobial residues and resistance occurrence and dissemination. A 'One Health' approach mitigation with adequate sanitation, hygiene, and good biosecurity measures will assure food safety, public and environmental health.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Antimicrobial residues; Antimicrobial resistance; Antimicrobial use; Beef animals; Food safety; One Health

Year:  2022        PMID: 35641718     DOI: 10.1007/s11259-022-09944-1

Source DB:  PubMed          Journal:  Vet Res Commun        ISSN: 0165-7380            Impact factor:   2.459


  17 in total

Review 1.  Origins and evolution of antibiotic resistance.

Authors:  Julian Davies; Dorothy Davies
Journal:  Microbiol Mol Biol Rev       Date:  2010-09       Impact factor: 11.056

2.  Effects of In-Feed Chlortetracycline Prophylaxis in Beef Cattle on Animal Health and Antimicrobial-Resistant Escherichia coli.

Authors:  Getahun E Agga; John W Schmidt; Terrance M Arthur
Journal:  Appl Environ Microbiol       Date:  2016-11-21       Impact factor: 4.792

Review 3.  Antibiotic-resistant bacteria: a challenge for the food industry.

Authors:  Rosa Capita; Carlos Alonso-Calleja
Journal:  Crit Rev Food Sci Nutr       Date:  2013       Impact factor: 11.176

Review 4.  Multidrug-resistant pathogens in the food supply.

Authors:  Marjorie E Doyle
Journal:  Foodborne Pathog Dis       Date:  2015-01-26       Impact factor: 3.171

5.  A register-based study on associations between vaccination, antimicrobial use and productivity in conventional Danish finisher pig herds during 2011 to 2014.

Authors:  Amanda Brinch Kruse; Charlotte Sonne Kristensen; Liza Rosenbaum Nielsen; Lis Alban
Journal:  Prev Vet Med       Date:  2019-01-18       Impact factor: 2.670

6.  Antimicrobials usage assessments in commercial poultry and local birds in North-central Nigeria: Associated pathways and factors for resistance emergence and spread.

Authors:  N B Alhaji; A E Haruna; B Muhammad; M K Lawan; T O Isola
Journal:  Prev Vet Med       Date:  2018-04-05       Impact factor: 2.670

Review 7.  Role of antimicrobial selective pressure and secondary factors on antimicrobial resistance prevalence in Escherichia coli from food-producing animals in Japan.

Authors:  Kazuki Harada; Tetsuo Asai
Journal:  J Biomed Biotechnol       Date:  2010-06-02

Review 8.  Antimicrobial usage and resistance in beef production.

Authors:  Andrew Cameron; Tim A McAllister
Journal:  J Anim Sci Biotechnol       Date:  2016-12-12

9.  Antimicrobial usage by pastoralists in food animals in North-central Nigeria: The associated socio-cultural drivers for antimicrobials misuse and public health implications.

Authors:  Nma Bida Alhaji; Tajudeen Opeyemi Isola
Journal:  One Health       Date:  2018-11-09

10.  Towards a bottom-up understanding of antimicrobial use and resistance on the farm: A knowledge, attitudes, and practices survey across livestock systems in five African countries.

Authors:  Mark A Caudell; Alejandro Dorado-Garcia; Suzanne Eckford; Chris Creese; Denis K Byarugaba; Kofi Afakye; Tamara Chansa-Kabali; Folorunso O Fasina; Emmanuel Kabali; Stella Kiambi; Tabitha Kimani; Geoffrey Mainda; Peter E Mangesho; Francis Chimpangu; Kululeko Dube; Bashiru Boi Kikimoto; Eric Koka; Tendai Mugara; Bachana Rubegwa; Samuel Swiswa
Journal:  PLoS One       Date:  2020-01-24       Impact factor: 3.240

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