Te Dorsthorst D T A, Verweij P E, Meis J F G M, Punt N C, Mouton J W
Department of Medical Microbiology and Infectious Diseases, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands.
Antimicrob Agents Chemother. 2002 Mar;46(3):702-7. doi: 10.1128/AAC.46.3.702-707.2002.
Although the fractional inhibitory concentration (FIC) index is most frequently used to define or to describe drug interactions, it has some important disadvantages when used for drugs against filamentous fungi. This includes observer bias in the determination of the MIC and no agreement on the endpoints (MIC-0, MIC-1, or MIC-2 [> or = 95, > or = 75, and > or = 50% growth inhibition, respectively]) when studying drug combinations. Furthermore, statistical analysis and comparisons are troublesome. The use of a spectrophotometric method to determine the effect of drug combinations yields quantitative data and permits the use of model fits to the whole response surface. We applied the response surface model described by Greco et al. (W. R. Greco, G. Bravo, and J. C. Parsons, Pharmacol. Rev. 47:331-385, 1995) to determine the interaction coefficient alpha (ICalpha) using a program developed for that purpose and compared the results with FIC indices. The susceptibilities of amphotericin B (AM), itraconazole (IT), and terbinafine (TB) were tested either alone or in combination against 10 IT-susceptible (IT-S) and 5 IT-resistant (IT-R) clinical strains of Aspergillus fumigatus using a modified checkerboard microdilution method that employs the dye MTT [3-(4,5-dimethyl-2-thiazyl)2,5-diphenyl-2H-tetrazolium bromide]. Growth in each well was determined by a spectrophotometer. FIC indices were determined and ICalpha values were estimated for each organism strain combination, and the latter included error estimates. Depending on the MIC endpoint used, the FIC index ranged from 1.016 to 2.077 for AM-IT, from 0.544 to 1.767 for AM-TB, and from 0.656 to 0.740 for IT-TB for the IT-S strains. For the IT-R strains the FIC index ranged from 0.308 to 1.767 for AM-IT, from 0.512 to 1.646 for AM-TB, and from 0.403 to 0.497 for IT-TB. The results indicate that the degree of interaction is not only determined by the agents themselves but also by the choice of the endpoint. Estimates of the ICalpha values showed more consistent results. Although the absolute FIC indices were difficult to interpret, there was a good correlation with the results obtained using the ICalpha values. The combination of AM with either IT or TB was antagonistic in vitro, whereas the combination of IT and TB was synergistic in vitro for both IT-S and IT-R strains. The use of response surface modeling to determine the interaction of drugs against filamentous fungi is promising, and more consistent results are obtained by this method than by using FIC indices.
尽管分数抑菌浓度(FIC)指数最常用于定义或描述药物相互作用,但在用于抗丝状真菌的药物时,它存在一些重要缺点。这包括在MIC测定中的观察者偏差,以及在研究药物组合时对于终点(MIC-0、MIC-1或MIC-2[分别为≥95%、≥75%和≥50%生长抑制])没有达成一致。此外,统计分析和比较也很麻烦。使用分光光度法测定药物组合的效果可产生定量数据,并允许对整个反应表面进行模型拟合。我们应用了Greco等人(W. R. Greco、G. Bravo和J. C. Parsons,Pharmacol. Rev. 47:331-385,1995)描述的反应表面模型,使用为此目的开发的程序来确定相互作用系数α(ICα),并将结果与FIC指数进行比较。使用改良的棋盘微量稀释法,采用染料MTT[3-(4,5-二甲基-2-噻唑基)-2,5-二苯基-2H-四氮唑溴盐],单独或联合测试两性霉素B(AM)、伊曲康唑(IT)和特比萘芬(TB)对10株伊曲康唑敏感(IT-S)和5株伊曲康唑耐药(IT-R)的烟曲霉临床菌株的敏感性。通过分光光度计测定每个孔中的生长情况。确定每种菌株组合的FIC指数并估计ICα值,后者包括误差估计。根据所使用的MIC终点不同,对于IT-S菌株,AM-IT组合的FIC指数范围为1.016至2.077,AM-TB组合为0.544至1.767,IT-TB组合为0.656至0.740。对于IT-R菌株,AM-IT组合的FIC指数范围为0.308至1.767,AM-TB组合为0.512至1.646,IT-TB组合为0.403至0.497。结果表明,相互作用的程度不仅由药物本身决定,还由终点的选择决定。ICα值的估计显示出更一致的结果。尽管绝对FIC指数难以解释,但与使用ICα值获得的结果有良好的相关性。AM与IT或TB的组合在体外具有拮抗作用,而IT和TB的组合在体外对IT-S和IT-R菌株均具有协同作用。使用反应表面模型来确定抗丝状真菌药物的相互作用很有前景,并且通过这种方法获得的数据比使用FIC指数更一致。