Recently research has been published from Korea Samsung
Research Institute using PolyVivo (AK07, www.polyscitech.com) to form
nanoparticles for delivery of resveratrol, which suppresses cancer cell
metabolism, as a chemotherapeutic medicine. Read more: Jung, Kyung-Ho, Jin Hee
Lee, Jin Won Park, Cung Hoa Thien Quach, Seung-Hwan Moon, Young Seok Cho, and
Kyung-Han Lee. "Resveratrol-loaded polymeric nanoparticles suppress
glucose metabolism and tumor growth in vitro and in vivo." International
Journal of Pharmaceutics (2014). http://www.sciencedirect.com/science/article/pii/S0378517314008643
“Abstract: Resveratrol (RSV) is a natural phenol
with promising anti-tumor activities, but its use for in vivo cancer treatment
is limited by low aqueous solubility and poor stability. In this study, we
prepared RSV-loaded polyethylene glycol–polylactic acid (PEG–PLA; M.W.
5000-5000) polymer nanoparticles (NPs) for improved stability and controlled
delivery, and investigated its metabolic and anti-tumor effect in vitro and in
vivo. CT26 colon cancer cells displayed significantly reduced cell number to
5.6% and colony forming capacity to 6.3% of controls by 72 h treatment with 40
and 20 μM of RSV-NP, respectively. Flow cytometry and western blots
demonstrated increased apoptotic cell death, and 18F FDG uptake and reactive
oxygen species was significantly reduced by RSV-NP. All of these effects were
comparable to or greater in potency compared to free RSV. When RSV-NP was
intravenously administered to CT26 tumor bearing mice, there was a reduction of
18F FDG uptake on PET/CT by day 4. Longer treatment led to retardation of tumor
growth accompanied by an improvement in survival compared to empty NP-injected
controls. These results demonstrate that the in vitro and in vivo metabolic and
anti-tumor effects of RSV is preserved by PEG–PLA NP loading, and provide an
encouraging outlook on the potential of polymeric NPs as an effective method to
deliver RSV for cancer therapy. Keywords: Resveratrol; PEG–PLA; Glucose
metabolism; Anticancer effect”
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