Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Dec;30(4):201-211.
doi: 10.12793/tcp.2022.30.e20. Epub 2022 Dec 21.

Predicting the systemic exposure and lung concentration of nafamostat using physiologically-based pharmacokinetic modeling

Affiliations

Predicting the systemic exposure and lung concentration of nafamostat using physiologically-based pharmacokinetic modeling

Hyeon-Cheol Jeong et al. Transl Clin Pharmacol. 2022 Dec.

Abstract

Nafamostat has been actively studied for its neuroprotective activity and effect on various indications, such as coronavirus disease 2019 (COVID-19). Nafamostat has low water solubility at a specific pH and is rapidly metabolized in the blood. Therefore, it is administered only intravenously, and its distribution is not well known. The main purposes of this study are to predict and evaluate the pharmacokinetic (PK) profiles of nafamostat in a virtual healthy population under various dosing regimens. The most important parameters were assessed using a physiologically based pharmacokinetic (PBPK) approach and global sensitivity analysis with the Sobol sensitivity analysis. A PBPK model was constructed using the SimCYP® simulator. Data regarding the in vitro metabolism and clinical studies were extracted from the literature to assess the predicted results. The model was verified using the arithmetic mean maximum concentration (Cmax), the area under the curve from 0 to the last time point (AUC0-t), and AUC from 0 to infinity (AUC0-∞) ratio (predicted/observed), which were included in the 2-fold range. The simulation results suggested that the 2 dosing regimens for the treatment of COVID-19 used in the case reports could maintain the proposed effective concentration for inhibiting severe acute respiratory syndrome coronavirus 2 entry into the plasma and lung tissue. Global sensitivity analysis indicated that hematocrit, plasma half-life, and microsomal protein levels significantly influenced the systematic exposure prediction of nafamostat. Therefore, the PBPK modeling approach is valuable in predicting the PK profile and designing an appropriate dosage regimen.

Keywords: COVID-19; Nafamostat; Pharmacokinetics; SimCYP.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest: - Authors: Nothing to declare - Reviewers: Nothing to declare - Editors: Nothing to declare

Figures

Figure 1
Figure 1. The observed black circle and predicted (n = 1,000, blue solid line) time-plasma concentration profiles after single intravenous infusion of (A) 10 mg, (B) 20 mg, and (C) 40 mg nafamostat. The grey dotted line represents the 5th and 95th percentile.
Figure 2
Figure 2. The predicted time-plasma and lung concentration profiles after intravenous infusion of (A-C) 200 mg/24 h and (D-F) 4.8 mg/kg/24 h nafamostat for 13 days. The grey dotted line represents 5th and 95th percentile, and blue area represents proposed therapeutic range (30–240 nM).
Figure 3
Figure 3. The first order (black bar) and total order (grey bar) sensitivity indices for (A) area under the curve, (B) maximum concentration, and (C) systemic clearance. The error bar denotes the standard deviation.
Ptp, partition coefficient of tissue:plasma; fu, unbound fraction; HLM, human liver microsome; HLC, human liver cytosol; Vmax, maximum velocity of an enzymatic reaction; Km, Michaelis constant; CLint, intrinsic clearance; CLR, renal clearance; B/P, blood-to-plasma partition coefficient; GFR, glomerular filtration rate; CPPGL, cytosolic protein per gram of liver.

Similar articles

Cited by

References

    1. Fuwa M, Kageyama M, Ohashi K, Sasaoka M, Sato R, Tanaka M, et al. Nafamostat and sepimostat identified as novel neuroprotective agents via NR2B N-methyl-D-aspartate receptor antagonism using a rat retinal excitotoxicity model. Sci Rep. 2019;9:20409. - PMC - PubMed
    1. Hirota M, Shimosegawa T, Kitamura K, Takeda K, Takeyama Y, Mayumi T, et al. Continuous regional arterial infusion versus intravenous administration of the protease inhibitor nafamostat mesilate for predicted severe acute pancreatitis: a multicenter, randomized, open-label, phase 2 trial. J Gastroenterol. 2020;55:342–352. - PMC - PubMed
    1. Cao YG, Chen YC, Hao K, Zhang M, Liu XQ. An in vivo approach for globally estimating the drug flow between blood and tissue for nafamostat mesilate: the main hydrolysis site determination in human. Biol Pharm Bull. 2008;31:1985–1989. - PubMed
    1. Aoyama T, Okutome T, Nakayama T, Yaegashi T, Matsui R, Nunomura S, et al. Synthesis and structure-activity study of protease inhibitors. IV. Amidinonaphthols and related acyl derivatives. Chem Pharm Bull (Tokyo) 1985;33:1458–1471. - PubMed
    1. Yamaori S, Fujiyama N, Kushihara M, Funahashi T, Kimura T, Yamamoto I, et al. Involvement of human blood arylesterases and liver microsomal carboxylesterases in nafamostat hydrolysis. Drug Metab Pharmacokinet. 2006;21:147–155. - PubMed

LinkOut - more resources