The Influence of OAT1 Density and Functionality on Indoxyl Sulfate Transport in the Human Proximal Tubule: An Integrated Computational and In Vitro Study

• Published in: Toxins Vol. 13; no. 10; p. 674
• Main Authors: King, Jasia, Mihaila, Silvia M, Ahmed, Sabbir, Truckenmüller, Roman, Giselbrecht, Stefan, Masereeuw, Rosalinde, Carlier, Aurélie
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 22.09.2021; MDPI
• Subjects: Active transport; Albumin; albumin conformational changes; Albumins; Albumins - metabolism; Biological Transport; Cell membranes; Computer applications; Computer Simulation; Density; Dialysate; Dialysis; End-stage renal disease; Epithelial cells; Epithelium; Experiments; Hemodialysis; Humans; Indican - metabolism; indoxyl sulfate; Influence; Kidney diseases; Kidney Tubules, Proximal - physiology; Kidneys; kinetic modeling; Mathematical models; Membrane Transport Proteins - physiology; Organic Anion Transport Protein 1 - physiology; organic anionic transporter; Physiology; Proteins; Simulation; Sulfates; Toxins; Toxins, Biological - metabolism; Uremia - metabolism; uremic toxins; albumin conformational changes; uremic toxins; indoxyl sulfate; kinetic modeling; organic anionic transporter
• ISSN: 2072-6651; 2072-6651
• 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.