Evidence map›Paper›PMID 29879519›Full record

ArticleJournal of controlled release : official journal of the Controlled Release Society2018

A minimal physiologically based pharmacokinetic model that predicts anti-PEG IgG-mediated clearance of PEGylated drugs in human and mouse.

M D McSweeney, T Wessler, L S L Price, E C Ciociola, L B Herity, J A Piscitelli, W C Zamboni, M G Forest, Y Cao, S K Lai

Abstract read
In one paragraph

Article in Journal of controlled release : official journal of the Controlled Release Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

48 citing papers in PubMed, 79 citations in OpenAlex.

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  16. Nanotherapeutics in Kidney Disease: Innovations, Challenges, and Future Directions.Journal of the American Society of Nephrology : JASN · 2025
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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

10 authors at 1 institution in 1 country.

M D McSweeneyDivision of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA. Electronic address: morgan_mcsweeney@unc.edu.
T WesslerDepartment of Mathematics, University of North Carolina, Chapel Hill, NC, USA. Electronic address: wessler@live.unc.edu.
L S L PriceDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA. Electronic address: lslprice@email.unc.edu.
E C CiociolaDivision of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA. Electronic address: lciociol@live.unc.edu.
L B HerityDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA. Electronic address: herity@email.unc.edu.
J A PiscitelliDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA. Electronic address: joseph_piscitelli@unc.edu.
W C ZamboniDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA. Electronic address: zamboni@email.unc.edu.
M G ForestDepartment of Mathematics, University of North Carolina, Chapel Hill, NC, USA. Electronic address: forest@unc.edu.
Y CaoDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA. Electronic address: yanguang@unc.edu.
S K LaiDivision of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA; UNC/NCSU Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, USA; Department of Microbiology and Immunology, School of Medicine, University of North Carolina, Chapel Hill, NC, USA. Electronic address: lai@unc.edu.
University of North Carolina at Chapel Hill · US

Funding

CAROLINA CANCER NANOTECHNOLOGY TRAINING PROGRAM (C-CNTP)T32CA196589 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Gaorav P. Gupta, ALEXANDER V KABANOV · 2015 to 2026
$4.5M
Overcoming anti-PEG immunity to restore prolonged circulation and efficacy of PEGylated therapeuticsR01HL141934 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LAI, SAMUEL, ZAMBONI, WILLIAM C · 2018 to 2021
$2.7M
Optimizing antibody-based therapy through a system platform of pharmacokinetics-pharmacodynamics-immunodynamicsR35GM119661 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CAO, YANGUANG · 2016 to 2020
$2.1M
Prevalence and characteristics of anti-PEG antibodies in humansR21EB017938 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LAI, SAMUEL · 2014 to 2015
$413k
NCI NIH HHS T32 CA196589NHLBI NIH HHS R01 HL141934NIBIB NIH HHS R21 EB017938NIGMS NIH HHS R35 GM119661
6 · The paper itself

Abstract

Circulating antibodies that specifically bind polyethylene glycol (PEG), a polymer routinely used in protein and nanoparticle therapeutics, have been associated with reduced efficacy and increased adverse reactions to some PEGylated therapeutics. In addition to acute induction of anti-PEG antibodies (APA) by PEGylated drugs, typically low but detectable levels of APA are also found in up to 70% of the general population. Despite the broad implications of APA, the dynamics of APA-mediated clearance of PEGylated drugs, and why many patients continue to respond to PEGylated drugs despite the presence of pre-existing APA, remains not well understood. Here, we developed a minimal physiologically based pharmacokinetic (mPBPK) model that incorporates various properties of APA and PEGylated drugs. Our mPBPK model reproduced clinical PK data of APA-mediated accelerated blood clearance of pegloticase, as well as APA-dependent elimination of PEGyated liposomes in mice. Our model predicts that the prolonged circulation of PEGylated drugs will be compromised only at APA concentrations greater than ~500 ng/mL, providing a quantitative explanation to why the effects of APA on PEGylated treatments appear to be limited in most patients. This mPBPK model is readily adaptable to other PEGylated drugs and particles to predict the precise levels of APA that could render them ineffective, providing a powerful tool to support the development and interpretation of preclinical and clinical studies of various PEGylated therapeutics.

Indexed as

AnimalsAntibodies, Anti-IdiotypicHumansImmunoglobulin GMiceMice, Inbred BALB CModels, BiologicalPolyethylene GlycolsUrate OxidaseAntibodies, Anti-Idiotypicanti-IgGImmunoglobulin GPegloticasePolyethylene GlycolsUrate OxidaseADAAnti-drug antibodiesAnti-PEG antibodiesPBPKPEGPolyethylene glycol

Identifiers

PMID29879519
PMCPMC6087483
OpenAlexW2807286787

What OpenQuestion holds

Textmetadata
LicenceTDM
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.