﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Tabriz University of Medical Sciences</PublisherName>
      <JournalTitle>Advanced Pharmaceutical Bulletin</JournalTitle>
      <Issn>2228-5881</Issn>
      <Volume>16</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month>09</Month>
        <DAY>30</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Enhancing Apoptosis in Glioblastoma Through Hybrid Nanoparticle-Mediated Resveratrol Delivery: In Vitro Cytotoxicity and in Vivo Pharmacokinetic Study</ArticleTitle>
    <FirstPage>573</FirstPage>
    <LastPage>582</LastPage>
    <ELocationID EIdType="doi">10.34172/apb.46117</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Swati Devendra</FirstName>
        <LastName>Raysing</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-2114-8560</Identifier>
      </Author>
      <Author>
        <FirstName>Ashish Prakash</FirstName>
        <LastName>Gorle</LastName>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/apb.46117</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2025</Year>
        <Month>08</Month>
        <Day>02</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2026</Year>
        <Month>03</Month>
        <Day>21</Day>
      </PubDate>
    </History>
    <Abstract>Introduction: Glioblastoma multiforme (GBM) is the most prevalent malignant primary brain tumor of the central nervous system (CNS), with limited therapeutic success due to challenges such as the blood-brain barrier and poor drug bioavailability. Resveratrol (RSV), a natural polyphenol with known anticancer activity, shows promise against GBM but suffers from low systemic absorption and limited brain targeting. This study investigates the therapeutic potential of RSV-loaded lipopolymeric hybrid nanoparticles (RSV-LPHNs) as a novel delivery platform to enhance RSV’s efficacy in GBM treatment. Methods: This study evaluated the anticancer and targeting efficiency of RSV-LPHNs through a series of in vitro and in vivo assays. The potential of RSV-LPHNs against GBM was investigated by assessing Cellular Apoptosis, ROS Estimation, cell cycle kinetics, MMP Estimation with Flow Cytometry- U87 and DNA Fragmentation Assay. Furthermore, in vivo pharmacokinetic studies in rat were performed followed by brain distribution study. Results: In U87 glioblastoma cells, RSV-LPHNs induced apoptosis via increased reactive oxygen species (ROS) production and disrupted mitochondrial membrane potential (MMP), confirmed by flow cytometry. In vivo pharmacokinetic studies in rats showed that RSV-LPHNs achieved a significantly higher AUC (0–∞) (94.58 µg•h/mL) compared to plain RSV (10.68 µg•h/mL), resulting in a 3.77-fold improvement in relative bioavailability. Brain distribution studies demonstrated a notable increase in brain AUC, from 7.11 to 47.20 µg•h/mL, indicating a 2.28-fold enhancement in brain. Conclusion: By improving RSV’s cellular uptake, apoptotic effect, and brain delivery, RSV-LPHNs may represent a viable and effective neurotherapeutic platform for combating glioblastoma multiforme.  </Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Resveratrol</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Cytotoxicity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Cellular apoptosis</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">ROS estimation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Cell cycle kinetics</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">MMP estimation</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>