Department of Pharmacy, School of Pharmacy, University of Washington, 1959 NE Pacific St. H375, Box 357630, Seattle, WA, 98195, USA.
Janssen Research and Development, Raritan, NJ, USA.
Pharm Res. 2023 Nov;40(11):2597-2606. doi: 10.1007/s11095-023-03594-x. Epub 2023 Sep 13.
Dose modification of renally secreted drugs in patients with chronic kidney disease (CKD) has relied on serum creatinine concentration as a biomarker to estimate glomerular filtration (GFR) under the assumption that filtration and secretion decline in parallel. A discrepancy between actual renal clearance and predicted renal clearance based on GFR alone is observed in severe CKD patients with tenofovir, a compound secreted by renal OAT1/3. Uremic solutes that inhibit OAT1/3 may play a role in this divergence.
To examine the impact of transporter inhibition by uremic solutes on tenofovir renal clearance, we determined the inhibitory potential of uremic solutes hippuric acid, indoxyl sulfate, and p-cresol sulfate. The inhibition parameters (IC) were incorporated into a previously validated mechanistic kidney model; simulated renal clearance and plasma PK profile were compared to data from clinical studies.
Without the incorporation of uremic solute inhibition, the PBPK model failed to capture the observed data with an absolute average fold error (AAFE) > 2. However, when the inhibition of renal uptake transporters and uptake transporters in the slow distribution tissues were included, the AAFE value was within the pre-defined twofold model acceptance criterion, demonstrating successful model extrapolation to CKD patients.
A PBPK model that incorporates inhibition by uremic solutes has potential to better predict renal clearance and systemic disposition of secreted drugs in patients with CKD. Ongoing research is warranted to determine if the model can be expanded to include other OAT1/3 substrate drugs and to evaluate how these findings can be translated to clinical guidance for drug selection and dose optimization in patients with CKD.
在慢性肾脏病(CKD)患者中,对肾分泌药物进行剂量调整依赖于血清肌酐浓度作为生物标志物,以估计肾小球滤过率(GFR),假设滤过和分泌呈平行下降。在接受肾 OAT1/3 分泌的替诺福韦等化合物的严重 CKD 患者中,观察到实际肾清除率与基于 GFR 预测的肾清除率之间存在差异。可能抑制 OAT1/3 的尿毒症溶质在这种差异中起作用。
为了研究尿毒症溶质对替诺福韦肾清除率的转运体抑制作用的影响,我们测定了尿毒症溶质马尿酸、吲哚硫酸和对甲酚硫酸盐对替诺福韦肾清除率的抑制潜力。抑制参数(IC)被纳入到之前验证的机制肾脏模型中;模拟的肾清除率和血浆 PK 曲线与临床研究数据进行比较。
如果不考虑尿毒症溶质抑制作用,PKBP 模型无法捕捉到观察到的数据,绝对平均折叠误差(AAFE)>2。然而,当包括肾摄取转运体和缓慢分布组织中的摄取转运体的抑制作用时,AAFE 值在预定义的两倍模型接受标准内,表明模型成功外推至 CKD 患者。
纳入尿毒症溶质抑制作用的 PBPK 模型有可能更好地预测 CKD 患者分泌药物的肾清除率和全身分布。需要进行进一步的研究,以确定该模型是否可以扩展到包括其他 OAT1/3 底物药物,并评估这些发现如何转化为 CKD 患者药物选择和剂量优化的临床指导。