Wassenaar Trudy M, Silley Peter
Molecular Microbiology and Genomics Consultants, Zotzenheim, Germany.
Anim Health Res Rev. 2008 Dec;9(2):177-86. doi: 10.1017/S1466252308001539.
The relative contribution of veterinary and human clinical treatments to the selection of antimicrobial resistance in zoonotic pathogens remains controversial. In this review, we consider bacterial pathogens that differ in host specificity and address their resistance profiles: pathogens that only occur in the human host, pathogens that are specific to particular food-producing animals and pathogens that occur in both host types. Compared with those pathogens restricted to a single animal host, pathogens found in both human and animal hosts appear to have higher incidences of resistance. However, the most urgent and severe resistance problems occur with pathogens exclusively infecting humans. Differences exist in the available genetic repertoire of a bacterial species and these are reflected in the observed resistance patterns; it is important to note that different bacterial species do not automatically result in similarly resistant populations when they undergo comparable selection in different host species. Thus, within a bacterial species, prevalence of resistance can differ between populations isolated from different hosts. For some species, fluctuations in dominant subpopulations, for instance particular serotypes, can be the most important factor determining resistance. The frequently expressed opinion that veterinary use of antimicrobials is at the heart of many resistance problems may be an oversimplification of the complex forces at play.
兽医临床治疗和人类临床治疗在人畜共患病原体抗菌药物耐药性选择中所起的相对作用仍存在争议。在本综述中,我们考虑了宿主特异性不同的细菌病原体,并探讨了它们的耐药情况:仅存在于人类宿主中的病原体、特定于某些食用动物的病原体以及存在于两种宿主类型中的病原体。与那些局限于单一动物宿主的病原体相比,在人类和动物宿主中均能发现的病原体似乎具有更高的耐药发生率。然而,最紧迫和严重的耐药问题发生在专门感染人类的病原体中。一个细菌物种的可用基因库存在差异,这些差异反映在观察到的耐药模式中;需要注意的是,当不同细菌物种在不同宿主物种中经历类似的选择时,它们不会自动产生具有相似耐药性的群体。因此,在一个细菌物种内,从不同宿主分离出的群体之间的耐药流行情况可能会有所不同。对于某些物种而言,优势亚群体(例如特定血清型)的波动可能是决定耐药性的最重要因素。认为兽用抗菌药物是许多耐药问题核心的这种常见观点,可能过于简化了其中复杂的影响因素。