Evidence map›Paper›PMID 38691205›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2024

Translational two-pore PBPK model to characterize whole-body disposition of different-size endogenous and exogenous proteins.

Shufang Liu, Yingyi Li, Zhe Li, Shengjia Wu, John M Harrold, Dhaval K Shah

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Therapeutic Spp1 silencing in TREM2Nature cardiovascular research · 2026
    Article
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  4. Review
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Shufang LiuDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, 455 Pharmacy Building, Buffalo, NY, 14214-8033, USA. shufangl@buffalo.edu.
Yingyi LiDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, 455 Pharmacy Building, Buffalo, NY, 14214-8033, USA.
Zhe LiDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, 455 Pharmacy Building, Buffalo, NY, 14214-8033, USA.
Shengjia WuDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, 455 Pharmacy Building, Buffalo, NY, 14214-8033, USA.
John M HarroldPharmacometrics & Systems Pharmacology, Pfizer Inc, South San Francisco, CA, USA.
Dhaval K ShahDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, 455 Pharmacy Building, Buffalo, NY, 14214-8033, USA. dshah4@buffalo.edu.
University at Buffalo, State University of New York · USPfizer (United States) · US

Funding

Enhancement of ADC selectivity by inverse targeting: Mechanistic studies and optimizationR01CA256928 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BALTHASAR, JOSEPH P · 2021 to 2025
$1.8M
Pharmacokinetic strategies to increase monoclonal antibody uptake, distribution, and efficacy for treatment of solid tumorsR01CA246785 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BALTHASAR, JOSEPH P, SHAH, DHAVAL K · 2020 to 2024
$1.8M
Pharmacokinetic / Pharmacodynamic Optimization of ADC Therapy for Acute Myeloid LeukemiaR01CA275967 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Joseph P Balthasar, Dhaval K Shah · 2023 to 2026
$1.7M
Translational Systems Pharmacokinetic Models of Novel Anticancer BiologicsR01GM114179 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI SHAH, DHAVAL K · 2015 to 2019
$1.7M
Proposal for Administrative supplement to Purchase NanoSight ProR01GM146097 · NIGMS · UNIVERSITY OF ALABAMA IN TUSCALOOSA · PI Ravikumar N Majeti, Dhaval K Shah · 2023 to 2026
$1.6M
Modulation of antigen pharmacokinetics with pH dependent antibodyR21AI138195 · NIAID · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PARK, SHELDON · 2018 to 2019
$425k
National Institute of Allergy and Infectious Diseases AI138195NCI NIH HHS R01 CA246785NCI NIH HHS R01CA246785, R01CA256928, and R01CA275967NCI NIH HHS R01 CA256928NCI NIH HHS R01 CA275967NIAID NIH HHS R21 AI138195NIGMS NIH HHS GM114179, GM146097NIGMS NIH HHS R01 GM114179NIGMS NIH HHS R01 GM146097
6 · The paper itself

Abstract

Two-pore physiologically based pharmacokinetic (PBPK) modeling has demonstrated its potential in describing the pharmacokinetics (PK) of different-size proteins. However, all existing two-pore models lack either diverse proteins for validation or interspecies extrapolation. To fill the gap, here we have developed and optimized a translational two-pore PBPK model that can characterize plasma and tissue disposition of different-size proteins in mice, rats, monkeys, and humans. Datasets used for model development include more than 15 types of proteins: IgG (150 kDa), F(ab)2 (100 kDa), minibody (80 kDa), Fc-containing proteins (205, 200, 110, 105, 92, 84, 81, 65, or 60 kDa), albumin conjugate (85.7 kDa), albumin (67 kDa), Fab (50 kDa), diabody (50 kDa), scFv (27 kDa), dAb2 (23.5 kDa), proteins with an albumin-binding domain (26, 23.5, 22, 16, 14, or 13 kDa), nanobody (13 kDa), and other proteins (110, 65, or 60 kDa). The PBPK model incorporates: (i) molecular weight (MW)-dependent extravasation through large and small pores via diffusion and filtration, (ii) MW-dependent renal filtration, (iii) endosomal FcRn-mediated protection from catabolism for IgG and albumin-related modalities, and (iv) competition for FcRn binding from endogenous IgG and albumin. The finalized model can well characterize PK of most of these proteins, with area under the curve predicted within two-fold error. The model also provides insights into contribution of renal filtration and lysosomal degradation towards total elimination of proteins, and contribution of paracellular convection/diffusion and transcytosis towards extravasation. The PBPK model presented here represents a cross-modality, cross-species platform that can be used for development of novel biologics.

Indexed as

Models, BiologicalAnimalsHumansMaleMiceMolecular WeightProteinsRatsTissue DistributionProteinsAlbuminAntibody fragmentsMonoclonal antibodyPhysiologically based pharmacokinetic (PBPK) modelingProtein therapeuticsTwo-pore theory

Identifiers

PMID38691205
OpenAlexW4396546540

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.