Population Pharmacokinetic–Pharmacodynamic Modeling of Inotersen, an Antisense Oligonucleotide for Treatment of Patients with Hereditary Transthyretin Amyloidosis

Autor: Jon W Collins, Scott P. Henry, Richard S. Geary, Brett P. Monia, Elizabeth J. Ackermann, Shannon Hall, Yanfeng Wang, Rosie Z. Yu
Rok vydání: 2020
Předmět:
Male
0301 basic medicine
Oligonucleotides
Gene Expression
inotersen
Biochemistry
Gastroenterology
Body Mass Index
chemistry.chemical_compound
0302 clinical medicine
Drug Discovery
Prealbumin
Drug Dosage Calculations
hereditary TTR amyloidosis
Aged
80 and over

education.field_of_study
biology
Alanine Transaminase
Middle Aged
Original Papers
Neuroprotective Agents
030220 oncology & carcinogenesis
Molecular Medicine
Female
RNA Interference
pharmacokinetics
Glomerular Filtration Rate
Adult
oligonucleotide
medicine.medical_specialty
Bilirubin
antisense
Population
Renal function
03 medical and health sciences
Pharmacokinetics
Internal medicine
pharmacodynamics
Genetics
medicine
Humans
education
Molecular Biology
Serum Albumin
Aged
Amyloid Neuropathies
Familial

Models
Statistical

business.industry
Confidence interval
Transthyretin
030104 developmental biology
chemistry
Case-Control Studies
Pharmacodynamics
Mutation
Lean body mass
biology.protein
business
Zdroj: Nucleic Acid Therapeutics
ISSN: 2159-3345
2159-3337
DOI: 10.1089/nat.2019.0822
Popis: A population pharmacokinetic (PK) and pharmacodynamic (PD) model was developed for inotersen to evaluate exposure–response relationships and to optimize therapeutic dosing regimen in patients with hereditary transthyretin (TTR) amyloidosis polyneuropathy (hATTR-PN). Inotersen PK and TTR level (PD) data were composed of one Phase 1 study in healthy subjects, one Phase 2/3 study in hATTR patients, and its one open-label extension study. Effects of intrinsic and extrinsic factors (covariates) on PK and PK/PD of inotersen were evaluated using a full model approach. Inotersen PK was characterized by a two-compartment model with elimination from the central compartment. The population PK analysis identified disease status and lean body mass (LBM) as significant covariates for inotersen PK. Nonetheless, the contribution of disease status and LBM on PK was small, as the difference in clearance (CL/F) was 11.1% between healthy subjects and patients with hATTR-PN and 38% between the lowest and highest LBM quartiles of the patient population. Age, race, sex, baseline renal function estimated glomerular filtration rate, and hepatic function markers (baseline albumin, bilirubin, and alanine aminotransferase values) were not statistically significant covariates affecting inotersen PK. An inhibitory effect indirect-response model (inhibition of TTR production) was used to describe the drug effect on TTR-time profiles, with baseline TTR included as a covariate. The overall population Imax and IC50, together with 95% confidence interval, was estimated to be 0.913 (0.899–0.925) and 9.07 (8.08–10.1) ng/mL, respectively. V30M mutation showed no effect on the estimated IC50 value for hATTR patients. The final population PK and PK/PD model was used to simulate four different treatment regimens. The population PK/PD model developed well described the PK and PD of inotersen in patients with hATTR-PN and has been used for label recommendation and trial simulations.
Databáze: OpenAIRE