Hunter P R, George R C, Griffiths J W
Public Health Laboratory, City Hospital, Chester CH2, England.
Antimicrob Agents Chemother. 1990 Sep;34(9):1769-72. doi: 10.1128/AAC.34.9.1769.
Antimicrobial MIC data were obtained for 96 strains of Staphylococcus haemolyticus and the following 11 antimicrobial agents: methicillin, gentamicin, rifampin, fusidic acid, ciprofloxacin, vancomycin, teicoplanin; three experimental glycopeptides, MDL 62,873, MDL 62,208, and MDL 62,224; and an experimental lipoglycopeptide, ramoplanin. Resistance to methicillin and gentamicin was present in over 50% of the strains, although resistance to the other agents was present in less than 10%. It is shown how application of mathematical modeling techniques can add to the understanding of such MIC data. MICs of methicillin and gentamicin were highly correlated, suggesting that evolutionary pressures for development of resistance to these agents were similar. The structural relationships among the glycopeptides were accurately reflected in their spatial relationships within the model. MICs of ramoplanin were negatively correlated with MICs of some other antimicrobial agents, particularly gentamicin, suggesting that this agent is more active against gentamicin-resistant strains. Methicillin-resistant strains were more tightly clustered than were methicillin-susceptible strains, suggesting that methicillin-resistant strains were more closely related to each other than were methicillin-susceptible strains. Mathematical modeling techniques enable more detailed analysis of MIC data.
对96株溶血葡萄球菌以及以下11种抗菌药物测定了抗菌最低抑菌浓度（MIC）数据：甲氧西林、庆大霉素、利福平、夫西地酸、环丙沙星、万古霉素、替考拉宁；三种实验性糖肽类药物MDL 62,873、MDL 62,208和MDL 62,224；以及一种实验性脂糖肽类药物雷莫拉宁。超过50%的菌株对甲氧西林和庆大霉素耐药，不过对其他药物的耐药率低于10%。本文展示了数学建模技术的应用如何能增进对此类MIC数据的理解。甲氧西林和庆大霉素的MIC高度相关，这表明对这些药物产生耐药性的进化压力相似。糖肽类药物之间的结构关系在模型中的空间关系中得到了准确反映。雷莫拉宁的MIC与其他一些抗菌药物的MIC呈负相关，特别是与庆大霉素，这表明该药物对庆大霉素耐药菌株更具活性。耐甲氧西林菌株比甲氧西林敏感菌株聚类更紧密，这表明耐甲氧西林菌株之间的亲缘关系比甲氧西林敏感菌株之间更密切。数学建模技术能够对MIC数据进行更详细的分析。
