MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands.
Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Universiteitsweg 99, 3584 CG Utrecht, The Netherlands.
Toxins (Basel). 2021 Sep 22;13(10):674. doi: 10.3390/toxins13100674.
Research has shown that traditional dialysis is an insufficient long-term therapy for patients suffering from end-stage kidney disease due to the high retention of uremic toxins in the blood as a result of the absence of the active transport functionality of the proximal tubule (PT). The PT's function is defined by the epithelial membrane transporters, which have an integral role in toxin clearance. However, the intricate PT transporter-toxin interactions are not fully explored, and it is challenging to decouple their effects in toxin removal in vitro. Computational models are necessary to unravel and quantify the toxin-transporter interactions and develop an alternative therapy to dialysis. This includes the bioartificial kidney, where the hollow dialysis fibers are covered with kidney epithelial cells. In this integrated experimental-computational study, we developed a PT computational model that focuses on indoxyl sulfate (IS) transport by organic anionic transporter 1 (OAT1), capturing the transporter density in detail along the basolateral cell membrane as well as the activity of the transporter and the inward boundary flux. The unknown parameter values of the OAT1 density (1.15×107 transporters µm-2), IS uptake (1.75×10-5 µM-1 s-1), and dissociation (4.18×10-4 s-1) were fitted and validated with experimental LC-MS/MS time-series data of the IS concentration. The computational model was expanded to incorporate albumin conformational changes present in uremic patients. The results suggest that IS removal in the physiological model was influenced mainly by transporter density and IS dissociation rate from OAT1 and not by the initial albumin concentration. While in uremic conditions considering albumin conformational changes, the rate-limiting factors were the transporter density and IS uptake rate, which were followed closely by the albumin-binding rate and IS dissociation rate. In summary, the results of this study provide an exciting avenue to help understand the toxin-transporter complexities in the PT and make better-informed decisions on bioartificial kidney designs and the underlining transporter-related issues in uremic patients.
研究表明,由于近端肾小管 (PT) 缺乏主动转运功能,血液中尿毒症毒素的高保留率导致传统透析对终末期肾病患者是一种不足够的长期治疗方法。PT 的功能由上皮膜转运蛋白定义,这些转运蛋白在毒素清除中起着重要作用。然而,PT 转运蛋白-毒素的相互作用尚未完全被探索,并且在体外分离它们在毒素去除中的作用具有挑战性。计算模型对于阐明和量化毒素-转运蛋白的相互作用以及开发替代透析的治疗方法是必要的。这包括生物人工肾脏,其中空心透析纤维被肾上皮细胞覆盖。在这项综合实验计算研究中,我们开发了一个专注于对氨基马尿酸盐 (IS) 转运的 PT 计算模型,通过有机阴离子转运蛋白 1 (OAT1),详细捕捉基底外侧细胞膜上的转运蛋白密度以及转运蛋白的活性和内向边界通量。OAT1 密度(1.15×107 个转运体 μm-2)、IS 摄取(1.75×10-5 μM-1 s-1)和解离(4.18×10-4 s-1)的未知参数值通过 IS 浓度的实验 LC-MS/MS 时间序列数据进行拟合和验证。该计算模型扩展到纳入尿毒症患者中存在的白蛋白构象变化。结果表明,生理模型中 IS 的去除主要受转运蛋白密度和 OAT1 上 IS 的解离速率影响,而不受初始白蛋白浓度的影响。而在考虑尿毒症条件下白蛋白构象变化时,限速因素是转运蛋白密度和 IS 的摄取速率,其次是白蛋白结合速率和 IS 的解离速率。总之,这项研究的结果为帮助理解 PT 中毒素-转运蛋白的复杂性提供了令人兴奋的途径,并为生物人工肾脏设计和尿毒症患者中潜在的转运蛋白相关问题做出更好的决策提供了信息。