Pharmacokinetic Comparability Assessment of Tixagevimab and Cilgavimab Developed for COVID-19 Prevention and Treatment Using Standard Exposure Metrics and Partial Area Under the Curve

BACKGROUND AND OBJECTIVE: AZD7442 is a combination of extended half-life monoclonal antibodies (mAbs; tixagevimab and cilgavimab), developed to neutralize SARS-CoV-2. This open-label Phase 1 study compared pharmacokinetics (PK) of three AZD7442 formulations in which component mAbs were (1) co-formulated versus separately formulated and (2) derived from clonal cell line or cell pool material when separately formulated. METHODS: ) were used for PK comparability assessment between treatments (A vs B, B vs C and A vs C). A post hoc analysis using partial area under the curve (pAUC) was also conducted. RESULTS: GMR (0.7933) was slightly below the pre-defined threshold of 0.8000. Low immunogenicity and acceptable safety profiles were observed across treatments. CONCLUSIONS: Pharmacokinetic comparability of tixagevimab, cilgavimab and AZD7442 was demonstrated between the different treatments based on analyses using traditional bioequivalence metrics or pAUCs. Partial AUC could serve as an exposure metric when evaluating PK comparability for extended half-life mAbs. TRIAL REGISTRY: Clinical trials registration number: ClinicalTrials.gov NCT05166421.

Authors

Institutions

Publication Details

Journal
Clinical Pharmacokinetics
Published
2026-03-31
DOI
https://doi.org/10.1007/s40262-026-01631-7
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pharmacokinetic Comparability Assessment of Tixagevimab and Cilgavimab Developed for COVID-19 Prevention and Treatment Using Standard Exposure Metrics and Partial Area Under the Curve

Antonella N. Tullio, Vitalina Dzutseva, Cecil Chi-Keung Chen, Roberta Baronio et al.
Clinical Pharmacokinetics
Computational Drug Discovery Methods
article

Pharmacokinetic Comparability Assessment of Tixagevimab and Cilgavimab Developed for COVID-19 Prevention and Treatment Using Standard Exposure Metrics and Partial Area Under the Curve

Antonella N. Tullio, Vitalina Dzutseva, Cecil Chi-Keung Chen, Roberta Baronio, Lauren A. Hirao, Taylor S. Cohen, Lee-Jah Chang, M.R.J. Gibbs, Alexandre Kiazand, Huixia Zhang, Weifeng Tang, Samuel Sadow
article en

Abstract

BACKGROUND AND OBJECTIVE: AZD7442 is a combination of extended half-life monoclonal antibodies (mAbs; tixagevimab and cilgavimab), developed to neutralize SARS-CoV-2. This open-label Phase 1 study compared pharmacokinetics (PK) of three AZD7442 formulations in which component mAbs were (1) co-formulated versus separately formulated and (2) derived from clonal cell line or cell pool material when separately formulated. METHODS: ) were used for PK comparability assessment between treatments (A vs B, B vs C and A vs C). A post hoc analysis using partial area under the curve (pAUC) was also conducted. RESULTS: GMR (0.7933) was slightly below the pre-defined threshold of 0.8000. Low immunogenicity and acceptable safety profiles were observed across treatments. CONCLUSIONS: Pharmacokinetic comparability of tixagevimab, cilgavimab and AZD7442 was demonstrated between the different treatments based on analyses using traditional bioequivalence metrics or pAUCs. Partial AUC could serve as an exposure metric when evaluating PK comparability for extended half-life mAbs. TRIAL REGISTRY: Clinical trials registration number: ClinicalTrials.gov NCT05166421.

Clinical Pharmacokinetics
AstraZeneca (Australia) (AU), AstraZeneca (France) (FR), AstraZeneca (Poland) (PL), AstraZeneca (Finland) (FI), AstraZeneca (United States) (US), National Patient Safety Foundation (US)
AstraZeneca
Good health and well-being
Openalex Percentile: Top 25%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.