Deciphering the In Vivo Metabolism of Polyethylene Glycol by a Polymeromics Approach

Polyethylene glycols (PEGs), commonly used in pharmaceutical applications, have recently been associated with potential adverse effects, highlighting the necessity for a thorough understanding of their in vivo metabolism. The inherent molecular weight polydispersity of PEGs, as polymers, poses challenges for systematic metabolic investigations. Here, we propose "polymeromics" as an innovative methodology for elucidating PEG metabolism. This approach allows for detailed molecular weight profiling and facilitates the precise identification of metabolites. In this proof-of-concept study, methoxy polyethylene glycol 2000 (mPEG2000) was employed as a model polymer. Using liquid chromatography coupled with high-resolution mass spectrometry and clustering analysis, we achieved, for the first time, a comprehensive molecular-weight-resolved characterization of the in vivo metabolism of mPEG2000. Our findings identified a range of mPEG2000 metabolites and revealed that midchain scission occurs during in vivo metabolism, with the hydroxyl radical being the primary species responsible for this cleavage. Furthermore, we elucidated the plasma kinetics, tissue distribution, and excretion profiles of mPEG2000 and its metabolites. This study introduces an innovative platform for investigating the in vivo metabolism of PEG, providing new insights into its biological fate and informing the development of safer PEGylated pharmaceuticals.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2026-02-13
DOI
https://doi.org/10.1021/acs.analchem.5c07381
Primary Topic
Poisoning and overdose treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deciphering the In Vivo Metabolism of Polyethylene Glycol by a Polymeromics Approach

Xinyi Wang, Hao Wang, Xiangjun Meng, Mingyang Zhao et al.
Analytical Chemistry
Poisoning and overdose treatments
article

Deciphering the In Vivo Metabolism of Polyethylene Glycol by a Polymeromics Approach

Xinyi Wang, Hao Wang, Xiangjun Meng, Mingyang Zhao, Jingkai Gu, Jiayi Yao
article en

Abstract

Polyethylene glycols (PEGs), commonly used in pharmaceutical applications, have recently been associated with potential adverse effects, highlighting the necessity for a thorough understanding of their in vivo metabolism. The inherent molecular weight polydispersity of PEGs, as polymers, poses challenges for systematic metabolic investigations. Here, we propose "polymeromics" as an innovative methodology for elucidating PEG metabolism. This approach allows for detailed molecular weight profiling and facilitates the precise identification of metabolites. In this proof-of-concept study, methoxy polyethylene glycol 2000 (mPEG2000) was employed as a model polymer. Using liquid chromatography coupled with high-resolution mass spectrometry and clustering analysis, we achieved, for the first time, a comprehensive molecular-weight-resolved characterization of the in vivo metabolism of mPEG2000. Our findings identified a range of mPEG2000 metabolites and revealed that midchain scission occurs during in vivo metabolism, with the hydroxyl radical being the primary species responsible for this cleavage. Furthermore, we elucidated the plasma kinetics, tissue distribution, and excretion profiles of mPEG2000 and its metabolites. This study introduces an innovative platform for investigating the in vivo metabolism of PEG, providing new insights into its biological fate and informing the development of safer PEGylated pharmaceuticals.

Analytical ChemistryVol. 98(7)
Tianjin University (CN), OSRAM (United States) (US), Jilin University (CN), China Institute of Veterinary Drug Control (CN), Jilin Medical University (CN)
Openalex Percentile: Top 59%
Poisoning and overdose treatments
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.