Authors
Sourov Mondal, Pratima Chaudhary, Pragya Yadav, Payal Gupta, Biswajit Maiti, Hironobu Watanabe, Masami Kamigaito, Biswajit Ray, Partha Pratim Manna
Published in
Journal of materials chemistry. B. Sep 28, 2026. Epub Sep 28, 2026.
Abstract
Developing efficient and stable amphiphilic polymeric nanocarriers faces challenges, including the trade-off between nano-particle size, drug loading capacity, cellular uptake efficiency, as well as the overall cytotoxicity. In this context, the synthesis of well-defined diblock or triblock copolymers via controlled radical polymerization techniques, which often involve multiple steps and poor scalability, has become a widely adopted approach for designing polymeric nanostructures with tailored properties. This study presents a facile strategy for preparing a series of random copolymer systems via reversible addition-fragmentation chain transfer (RAFT) polymerization and demonstrates their excellent performance as nano-drug carriers. First, a homopolymer of a newly synthesized monomer, namely, N-n-propyl-N-(3-(isopropylamino)-3-oxopropyl)acrylamide (M3), was synthesized, followed by the preparation of a series of random copolymers of this monomer with the macromonomer poly(ethylene glycol) methyl ether acrylate (PEGA, Mn = 480) having variable compositions. By systematic variation of PEGA, the lower critical solution temperature (LCST) of the random copolymer poly(M3-ra-PEGA) at only 17 mol% reached 34 °C, which is below the physiological temperature. Doxorubicin (DOX) was loaded into the micelles of this copolymer with a drug loading content (DLC) of 9% and a drug loading efficiency (DLE) of 45%. The DOX-loaded random copolymer demonstrated significant tumoricidal potential against Dalton's lymphoma (DL) tumor cells with dose-dependent reduction in cell viability, direct cytotoxicity and long-term growth inhibition upon treatment. The DOX-loaded copolymer significantly protected the DL tumor-bearing animals by enhancing their life span, reducing the tumor volume and preventing metastasis.
PMID:
42803620
Bibliographic data and abstract were imported from PubMed on 28 Sep 2026.
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