Smith David L, Harris Anthony D, Johnson Judith A, Silbergeld Ellen K, Morris J Glenn
Department of Epidemiology and Preventive Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Proc Natl Acad Sci U S A. 2002 Apr 30;99(9):6434-9. doi: 10.1073/pnas.082188899. Epub 2002 Apr 23.
Antibiotic use is known to promote the development of antibiotic resistance, but substantial controversy exists about the impact of agricultural antibiotic use (AAU) on the subsequent emergence of antibiotic-resistant bacteria among humans. AAU for animal growth promotion or for treatment or control of animal diseases generates reservoirs of antibiotic-resistant (AR) bacteria that contaminate animal food products. Mathematical models are an important tool for understanding the potential medical consequences of this increased exposure. We have developed a mathematical model to evaluate factors affecting the prevalence of human commensal AR bacteria that cause opportunistic infections (e.g., enterococci). Our analysis suggests that AAU hastens the appearance of AR bacteria in humans. Our model indicates that the greatest impact occurs very early in the emergence of resistance, when AR bacteria are rare, possibly below the detection limits of current surveillance methods.
抗生素的使用会促进抗生素耐药性的发展,然而,关于农业中抗生素的使用(AAU)对人类随后出现的抗生素耐药菌的影响,存在大量争议。用于促进动物生长或治疗或控制动物疾病的AAU会产生污染动物食品的抗生素耐药(AR)菌库。数学模型是理解这种增加的暴露所带来的潜在医学后果的重要工具。我们开发了一个数学模型来评估影响引起机会性感染的人类共生AR菌(如肠球菌)流行率的因素。我们的分析表明,AAU会加速AR菌在人类中的出现。我们的模型表明,最大的影响发生在耐药性出现的早期,此时AR菌很少,可能低于当前监测方法的检测限。