School of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2QL, UK.
School of Biosciences, University of Nottingham, Loughborough, LE12 5RD, UK.
Bull Math Biol. 2021 Mar 1;83(4):36. doi: 10.1007/s11538-021-00865-9.
The ecological and human health impact of antibiotic use and the related antimicrobial resistance (AMR) in animal husbandry is poorly understood. In many countries, there has been considerable pressure to reduce overall antibiotic use in agriculture or to cease or minimise use of human critical antibiotics. However, a more nuanced approach would consider the differential impact of use of different antibiotic classes; for example, it is not known whether reduced use of bacteriostatic or bacteriolytic classes of antibiotics would be of greater value. We have developed an ordinary differential equation model to investigate the effects of farm practice on the spread and persistence of AMR in the dairy slurry tank environment. We model the chemical fate of bacteriolytic and bacteriostatic antibiotics within the slurry and their effect on a population of bacteria, which are capable of resistance to both types of antibiotic. Through our analysis, we find that changing the rate at which a slurry tank is emptied may delay the proliferation of multidrug-resistant bacteria by up to five years depending on conditions. This finding has implications for farming practice and the policies that influence waste management practices. We also find that, within our model, the development of multidrug resistance is particularly sensitive to the use of bacteriolytic antibiotics, rather than bacteriostatic antibiotics, and this may be cause for controlling the usage of bacteriolytic antibiotics in agriculture.
抗生素在畜牧业中的使用及其相关的抗菌药物耐药性(AMR)对生态和人类健康的影响尚未被充分了解。在许多国家,人们一直面临着相当大的压力,要求减少农业领域的抗生素总体使用量,或者停止或尽量减少人类关键抗生素的使用。然而,一种更为细致入微的方法将考虑不同抗生素类别使用的差异影响;例如,尚不清楚减少使用抑菌或杀菌类抗生素是否会更有价值。我们开发了一个常微分方程模型,以研究农场实践对奶牛粪浆罐环境中 AMR 传播和持续存在的影响。我们对粪浆中杀菌和抑菌抗生素的化学命运及其对能够抵抗这两种类型抗生素的细菌种群的影响进行了建模。通过分析,我们发现,根据具体情况,改变粪浆罐排空的速度可能会将多药耐药菌的增殖延迟多达五年。这一发现对农业实践和影响废物管理实践的政策具有重要意义。我们还发现,在我们的模型中,多药耐药性的发展对杀菌抗生素的使用特别敏感,而不是抑菌抗生素的使用,这可能是控制农业中杀菌抗生素使用的原因。