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Anti-PEG Single-Chain Variable-Fragment Antibody-Assisted In Vivo Process Decoding of PEGylated Nanomedicines
Feng Pan1,2, Qingyuan Xu3,4, Kaisong Tian1
1Department of Pharmacology, School of Basic Medical Sciences and Department of Pharmacy, Shanghai Pudong Hospital, Fudan University, Shanghai200032, P. R. China.
A new anti-polyethylene glycol (PEG) antibody method quantifies drug forms in vivo. This tool maps PEGylated liposomal doxorubicin (sLip/Dox) distribution and release, revealing cellular uptake as key to nanomedicine performance.
Area of Science:
- Nanomedicine
- Pharmacokinetics
- Biotechnology
Background:
- Clinical nanomedicine translation is limited by poor understanding of in vivo drug behavior.
- Quantifying encapsulated versus free drug forms in tissues and cells is a critical challenge.
- Polyethylene glycol (PEG) is widely used to improve nanomedicine circulation time.
Purpose of the Study:
- To develop a method for quantifying encapsulated and free drug forms in vivo.
- To map the in vivo process of PEGylated liposomal doxorubicin (sLip/Dox) at high resolution.
- To understand the factors determining sLip/Dox in vivo performance.
Main Methods:
- Development of a versatile anti-PEG single-chain variable-fragment antibody (PEG-scFv) method.
- Quantitative measurement of encapsulated and free drug forms in biofluids (interstitial fluid, cytoplasm).
- In vivo pharmacokinetic profiling of sLip/Dox in bloodstream, liver, and tumor tissues.
Main Results:
- Doxorubicin remained >99% encapsulated in the bloodstream.
- In the liver, drug was mostly interstitial (>80% encapsulated) but released intracellularly in Kupffer cells.
- In tumors, drug access to cells was limited, with most drug remaining interstitial and encapsulated; intracellular release occurred gradually.
Conclusions:
- Cellular internalization rates are critical for the in vivo performance of sLip/Dox, which releases drugs intracellularly.
- The PEG-scFv method provides a broadly applicable tool for dissecting nanomedicine in vivo processes.
- This approach can guide rational nanotherapeutic design and establish dose-effect relationships.
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