ArticleCPT: pharmacometrics & systems pharmacology2026
Autosomal Dominant Tubulointerstitial Kidney Disease Clinical Trial Simulator: Case Reports of Model-Informed Drug Development.
Article in CPT: pharmacometrics & systems pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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10 authors.
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Abstract
Autosomal Dominant Tubulointerstitial Kidney Disease (ADTKD) is the third most common inherited monogenic kidney disorder. Mutations in UMOD and MUC1 account for most cases, with the disease characterized by progressive eGFR decline leading to kidney failure. No disease-modifying therapies exist, and transplantation is the only current option. Designing trials for ADTKD is hampered by small patient numbers, variable progression rates, and uncertainty around optimal endpoints. Building on natural history data from Wake Forest School of Medicine, nonlinear mixed-effects models were developed to describe eGFR decline in UMOD and MUC1 variants. These models formed the foundation for a web-based clinical trial simulation (CTS) tool (https://app.cop.ufl.edu/adtkd/) built in R Shiny. The tool allows users to define trial populations, configure design parameters, and estimate statistical power by simulating placebo vs. assumed treatment arms. Drug effects were modeled as percentage changes in key parameters of the developed disease progression models describing individual-level eGFR trajectory over age: DPT
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