In Vivo Quantitative Detection of PEGylated Macromolecules by Magnetic Resonance Spectroscopy

ABSTRACT Large poly(ethylene) glycol (PEG) chains are often conjugated to proteins or biomolecules to inhibit proteolytic degradation, mask immunogenic response, reduce clearance rates, and improve biodistribution of therapeutics, vaccines, drug delivery systems, and gene therapy formulations. The PEG macromolecular chain can also be used as a noninvasive reporter to track biologics in vivo by magnetic resonance spectroscopy (MRS). Rapid internal dynamics of PEG render the transverse 1 H spin relaxation time to be comparable to water (~0.5 s) and amenable to imaging through traditional pulsed field gradient techniques. While water signal grossly exceeds that of PEG it is possible to filter 1 H MRS signal of PEGylated conjugates through one of two ways—(1) stimulated echo acquisition mode (STEAM) MRS, which leverages huge differences in the diffusion of water versus PEGylated constructs, and (2) 13 C‐edited 1 H MRS of fully 13 C‐enriched PEGylated constructs. Here, we compare both approaches. A 15 kDa 13 C‐enriched PEG chain was prepared alone, conjugated to bovine serum‐albumin (BSA), and incorporated into a 52‐nm‐diameter PEG‐poly(lactic acid) (PLA) nanoparticle. These three PEG constructs were then separately monitored in real time by 13 C‐edited 1 H MRS, after introducing them into rat animal models intravenously. A 13 C‐editing scheme was employed to monitor 1 H MRS PEG signal in the vasculature via a radiofrequency coil placed around the tail. An observed two‐component decay of the PEG signal is attributed to perfusion and early equilibration (alpha phase) and slow clearance (beta phase). 13 C‐PEG alone, 13 C‐PEG‐BSA, and 13 C‐PEG–PLA nanoparticles exhibited half‐lives of 38.6 min, 23.4 h, and 11.9 h, respectively. The relatively rapid clearance rates associated with the PEG–PLA nanoparticles is expected to arise from enzymatic degradation of the PLA chain. Using STEAM‐based editing schemes, we then evaluated sensitivity and water suppression in diffusion‐edited 1 H MRS for ( 12 C)‐PEGylated BSA contrasting 2‐, 20‐, and 40‐kDa PEG chains, in imaging phantom samples. Larger molecular weight PEG chains (i.e., 40 kDa) proved far superior to smaller PEG chain reporters due to reduced inhomogeneities and longer T 2 , upon employing either a 13 C‐HQMC filter or a STEAM‐based diffusion filter.

Authors

Institutions

Publication Details

Journal
NMR in Biomedicine
Published
2026-06-26
DOI
https://doi.org/10.1002/nbm.70345
Primary Topic
Nanoparticle-Based Drug Delivery
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

In Vivo Quantitative Detection of PEGylated Macromolecules by Magnetic Resonance Spectroscopy

Advait Hasabnis, Joanna Long, R. Scott Prosser, Daniel P. Downes et al.
NMR in Biomedicine
Nanoparticle-Based Drug Delivery
article

In Vivo Quantitative Detection of PEGylated Macromolecules by Magnetic Resonance Spectroscopy

Advait Hasabnis, Joanna Long, R. Scott Prosser, Daniel P. Downes, Yi‐Chia Su, Huadong Zeng, Rohan Alvares
article en

Abstract

ABSTRACT Large poly(ethylene) glycol (PEG) chains are often conjugated to proteins or biomolecules to inhibit proteolytic degradation, mask immunogenic response, reduce clearance rates, and improve biodistribution of therapeutics, vaccines, drug delivery systems, and gene therapy formulations. The PEG macromolecular chain can also be used as a noninvasive reporter to track biologics in vivo by magnetic resonance spectroscopy (MRS). Rapid internal dynamics of PEG render the transverse 1 H spin relaxation time to be comparable to water (~0.5 s) and amenable to imaging through traditional pulsed field gradient techniques. While water signal grossly exceeds that of PEG it is possible to filter 1 H MRS signal of PEGylated conjugates through one of two ways—(1) stimulated echo acquisition mode (STEAM) MRS, which leverages huge differences in the diffusion of water versus PEGylated constructs, and (2) 13 C‐edited 1 H MRS of fully 13 C‐enriched PEGylated constructs. Here, we compare both approaches. A 15 kDa 13 C‐enriched PEG chain was prepared alone, conjugated to bovine serum‐albumin (BSA), and incorporated into a 52‐nm‐diameter PEG‐poly(lactic acid) (PLA) nanoparticle. These three PEG constructs were then separately monitored in real time by 13 C‐edited 1 H MRS, after introducing them into rat animal models intravenously. A 13 C‐editing scheme was employed to monitor 1 H MRS PEG signal in the vasculature via a radiofrequency coil placed around the tail. An observed two‐component decay of the PEG signal is attributed to perfusion and early equilibration (alpha phase) and slow clearance (beta phase). 13 C‐PEG alone, 13 C‐PEG‐BSA, and 13 C‐PEG–PLA nanoparticles exhibited half‐lives of 38.6 min, 23.4 h, and 11.9 h, respectively. The relatively rapid clearance rates associated with the PEG–PLA nanoparticles is expected to arise from enzymatic degradation of the PLA chain. Using STEAM‐based editing schemes, we then evaluated sensitivity and water suppression in diffusion‐edited 1 H MRS for ( 12 C)‐PEGylated BSA contrasting 2‐, 20‐, and 40‐kDa PEG chains, in imaging phantom samples. Larger molecular weight PEG chains (i.e., 40 kDa) proved far superior to smaller PEG chain reporters due to reduced inhomogeneities and longer T 2 , upon employing either a 13 C‐HQMC filter or a STEAM‐based diffusion filter.

NMR in BiomedicineVol. 39(8)
University of Toronto (CA), University of Florida (US), National High Magnetic Field Laboratory (US)
Natural Sciences and Engineering Research Council of Canada
Clean water and sanitation
Openalex Percentile: Top 13%
Nanoparticle-Based Drug Delivery
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.