利奈唑啉
药代动力学
基因型
医学
治疗药物监测
药物遗传学
内科学
药理学
等位基因
曲线下面积
最小抑制浓度
肺炎链球菌
胃肠病学
生物
抗生素
微生物学
基因
遗传学
金黄色葡萄球菌
细菌
万古霉素
作者
Sarah Allegra,Antonello Di Paolo,Jessica Cusato,Giovanna Fatiguso,E. Arrigoni,Romano Danesi,Silvia Corcione,Antonio D’Avolio
出处
期刊:Therapeutic Drug Monitoring
[Ovid Technologies (Wolters Kluwer)]
日期:2018-07-04
卷期号:40 (5): 602-609
被引量:16
标识
DOI:10.1097/ftd.0000000000000536
摘要
Several factors contribute to the high variability of linezolid plasma exposure in patients. Very recently, it has been suggested that linezolid could be an ABCB1 substrate. Therefore, the present clinical study was aimed at investigating whether ABCB1 polymorphisms could predict linezolid pharmacokinetics in 27 critically ill patients.Genotypes were assessed through a real-time polymerase chain reaction allelic discrimination system, and linezolid plasma concentrations, considering trough concentration (Ctrough) and area under the time-concentration curve (AUC), were analyzed through a nonlinear mixed-effects modeling approach.A significant effect of abcb1 c.3435C>T polymorphism on linezolid clearance was found, whose values accounted for 13.19 L/h in wild-type homozygotes and 7.82 L/h in the remaining individuals. That difference was statistically significant despite the large interindividual variability (60.8%). Terminal half-life and volume of distribution values significantly differed between c.3435CC and c.3435CT/TT patients (2.78 versus 5.45 hours and 37.43 versus 46.71 L, respectively). On the contrary, a modest trend was observed for the difference in AUC and Ctrough based on c.3435C>T genotypes. Simulation according to the final model revealed that the cumulative response fraction for the AUC/MIC parameter was better for .3435CC individuals compared with individuals carrying at least one c.3435T allele with respect to methicillin-sensitive S. aureus, methicillin-resistant S. aureus, and Streptococcus pneumoniae species.The obtained results suggest the possible influence of ABCB1 in linezolid pharmacokinetics, bringing new interest for pharmacogenetic analyses in antimicrobial chemotherapy. These analyses could be incorporated in therapeutic protocols for precision medicine, including a combined use of genetic evaluation (for starting dose) and follow-up therapeutic drug monitoring.
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