Prediction of Human Plasma Concentration-time Profiles of Monoclonal Antibodies from Monkey Data by a Species-invariant Time Method
Abstract
We have previously reported that human total body clearance (CL) and steady-state volume of distribution (Vss) of monoclonal antibodies (mAbs) could be predicted reasonably well from monkey data alone using simple allometry with scaling exponents of 0.79 and 1.12 (for soluble targets), and 0.96 and 1.00 (for membrane-bound targets). In the present study, to predict the plasma concentration-time profiles of mAbs in humans, we employed simple dose-normalization and species-invariant time methods (elementary Dedrick plot and complex Dedrick plot), based on the monkey data and the scaling exponents we previously determined. The results demonstrated that the species-invariant time methods were able to provide higher accuracy of prediction than simple dose-normalization, regardless of the type of target antigens (soluble or membrane-bound). The accuracy between elementary Dedrick plot and complex Dedrick plot was nearly equivalent. The predicted human CL and Vss using species-invariant time methods were within mostly 2-fold differences from the observed values. The prediction not only of pharmacokinetic (PK) parameters but also of the plasma concentration-time profile in humans can serve as guidelines for better planning of clinical studies on mAbs.
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Two general approaches for antibodies with linear PK are commonly used to project mAb PK in humans.
“two general approaches for antibodies with linear PK are commonly used.”
From Tutorial on monoclonal antibody pharmacokinetics and its considerations in early development (2018) · cites this paper as [65]
The practice of projecting mAb PK in humans is well established.
“The practice of projecting mAb PK in humans is well established,63, 64, 65, 66, 67”
From Tutorial on monoclonal antibody pharmacokinetics and its considerations in early development (2018) · cites this paper as [65]
The species-invariant time method was reported to have better predictions than simplified allometry for both membrane-bound and soluble targets.
“The species‐invariant time method was reported to have better predictions than simplified allometry for both membrane‐bound and soluble targets.65”
From Tutorial on monoclonal antibody pharmacokinetics and its considerations in early development (2018) · cites this paper as [65]
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- Authors
- Oitate, M., Nakayama, S., Ito, T., Kurihara, A., Okudaira, N., & Izumi, T.
- Affiliations
- Daiichi-Sankyo (Japan) (JP)
- Corresponding author
- Oitate, Masataka
- Venue
- Drug Metabolism and Pharmacokinetics
- Published
- 2012
- Volume
- 27
- Issue
- 3
- Pages
- 354-359
- ISSN
- 1347-4367 (ISSN-L)
- OpenAlex
- W2029197822
- Cited by
- 35
- References
- 8
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 1 · 2022: 2 · 2021: 6 · 2020: 4 · 2019: 2 · 2018: 4 · 2017: 1 · 2015: 5 · 2014: 1 · 2013: 4 · 2012: 1
- FWCI
- 1.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Drug Metabolism and Pharmacokinetics (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
- Life Sciences › Immunology and Microbiology › Immunology › Biosimilars and Bioanalytical Methods
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pharmaceutical studies and practices
- Keywords
- monoclonal antibodies, plasma concentration-time curve, pharmacokinetic prediction, allometric scaling, body clearance, dose normalization, clinical trial design
- MeSH terms
- Animals, Antibodies, Monoclonal, Antigens, Pan troglodytes, Dose-Response Relationship, Drug, Half-Life, Humans, Macaca fascicularis, Macaca mulatta, Metabolic Clearance Rate, Models, Biological, Recombinant Fusion Proteins, Solubility, Species Specificity, Antibodies, Monoclonal, Murine-Derived, Antibodies, Monoclonal, Humanized
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