Developing an Inhaled NEU1 Inhibitor for Cystic Fibrosis via Pharmacokinetic and Biophysical Modeling
Yousra Hassan Alsaad Almeshale, Abdulelah Hassan Almeshali, Omar Alsaddique, Noura Jandali, Nadeen Garaween, and Bin Hu

TL;DR
This study develops a combined pharmacokinetic, pharmacodynamic, and biophysical model to evaluate inhaled NEU1 inhibitors for cystic fibrosis, predicting improved lung function and mucus clearance.
Contribution
It introduces an integrated modeling framework that links inhaled drug kinetics with mucus rheology and lung function outcomes in CF.
Findings
Peak drug levels achieved IC50 coverage for 10 hours daily
Predicted mucus viscosity reduced by 25-28%
Estimated FEV1 improvement of +0.13 liters
Abstract
Background: Cystic fibrosis (CF) airway mucus exhibits reduced mucin sialylation, increasing viscosity and impairing mucociliary clearance (MCC). NEU1 inhibition has been proposed to restore MCC, but its quantitative pharmacokinetic and rheological effects, particularly with inhaled delivery, remain uncharacterized. Objective: To develop an integrated pharmacokinetic/pharmacodynamic (PK/PD) and biophysical model to assess the efficacy of an inhaled NEU1 inhibitor. Methods: Empirical and preclinical NEU1 inhibition data were combined with inhalation PK/PD modeling and a biophysical viscosity framework linking mucin sialylation and extracellular DNA. Synthetic cohort simulations (N = 200) were reconciled with empirical PK benchmarks using Latin hypercube parameter sampling. Cross-validation, hold-out testing, and causal inference methods (inverse probability of treatment weighting and…
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