Galvez Carla, Boza Pía, González Mariluz, Hormazabal Catalina, Encina Marlene, Azócar Manuel, Castañeda Luis E, Rojo Angélica, Ceballos María Luisa, Krall Paola
Unidad de Nefrología, Hospital Luis Calvo Mackenna, Santiago de Chile, Chile.
Laboratorio Clínico, Hospital Luis Calvo Mackenna, Santiago de Chile, Chile.
Front Pharmacol. 2023 Mar 14;14:1044050. doi: 10.3389/fphar.2023.1044050. eCollection 2023.
Kidney transplantation (KTx) requires immunosuppressive drugs such as Tacrolimus (TAC) which is mainly metabolized by CYP3A5. TAC is routinely monitored by trough levels (C) although it has not shown to be a reliable marker. The area-under-curve (AUC) is a more realistic measure of drug exposure, but sampling is challenging in pediatric patients. Limited-sampling strategies (LSS) have been developed to estimate AUC. Herein, we aimed to determine AUC and genotype in Chilean pediatric kidney recipients using extended-release TAC, to evaluate different LSS-AUC formulas and dose requirements. We analyzed pediatric kidney recipients using different extended-release TAC brands to determine their trapezoidal AUC and genotypes (SNP rs776746). Daily TAC dose (TAC-D mg/kg) and AUC normalized by dose were compared between CYP3A5 expressors (*1/*1 and *1/*3) and non-expressors (*3/3). We evaluated the single and combined time-points to identify the best LSS-AUC model. We compared the performance of this model with two pediatric LSS-AUC equations for clinical validation. Fifty-one pharmacokinetic profiles were obtained from kidney recipients (age 13.1 ± 2.9 years). When normalizing AUC by TAC-D significant differences were found between CYP3A5 expressors and non-expressors (1701.9 vs. 2718.1 ngh/mL/mg/kg, < 0.05). C had a poor fit with AUC ( = 0.5011). The model which included C, C and C, showed the best performance to predict LSS-AUC ( = 0.8765) and yielded the lowest precision error (7.1% ± 6.4%) with the lowest fraction (9.8%) of deviated AUC, in comparison to other LSS equations. Estimation of LSS-AUC with 3 time-points is an advisable and clinically useful option for pediatric kidney recipients using extended-release TAC to provide better guidance of decisions if toxicity or drug inefficacy is suspected. The different genotypes associated with variable dose requirements reinforce considering genotyping before KTx. Further multi-centric studies with admixed cohorts are needed to determine the short- and long-term clinical benefits.
肾移植(KTx)需要使用免疫抑制药物,如主要由CYP3A5代谢的他克莫司(TAC)。尽管TAC的谷浓度(C)并非可靠的标志物,但临床上仍常规监测该指标。曲线下面积(AUC)是衡量药物暴露更实际的指标,但在儿科患者中采样具有挑战性。已开发出有限采样策略(LSS)来估算AUC。在此,我们旨在确定智利儿科肾移植受者使用缓释TAC后的AUC和基因型,评估不同的LSS-AUC公式及剂量需求。我们分析了使用不同缓释TAC品牌的儿科肾移植受者,以确定其梯形AUC和基因型(单核苷酸多态性rs776746)。比较了CYP3A5表达者(*1/1和1/*3)与非表达者(*3/3)之间的每日TAC剂量(TAC-D,mg/kg)和经剂量标准化的AUC。我们评估了单个和组合时间点,以确定最佳的LSS-AUC模型。我们将该模型的性能与两个儿科LSS-AUC方程进行比较以进行临床验证。从肾移植受者(年龄13.1±2.9岁)获得了51份药代动力学资料。当用TAC-D对AUC进行标准化时,发现CYP3A5表达者与非表达者之间存在显著差异(1701.9对2718.1 ngh/mL/mg/kg,P<0.05)。C与AUC的拟合度较差(r = 0.5011)。包含C0、C1和C2的模型在预测LSS-AUC方面表现最佳(r = 0.8765),与其他LSS方程相比,其精度误差最低(7.1%±6.4%),偏差AUC的比例最低(9.8%)。对于使用缓释TAC的儿科肾移植受者,采用3个时间点估算LSS-AUC是一种可取且具有临床实用性的选择,若怀疑有毒性或药物无效,可为决策提供更好的指导。与不同剂量需求相关的不同基因型强化了在肾移植前进行基因分型的必要性。需要进一步开展多中心混合队列研究以确定短期和长期的临床获益。