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      Bone-targeting nanoparticle to co-deliver decitabine and arsenic trioxide for effective therapy of myelodysplastic syndrome with low systemic toxicity

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      Journal of Controlled Release
      Elsevier BV

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          Abstract

          <p class="first" id="P1">Myelodysplastic syndromes (MDS) are a diverse group of bone marrow disorders and clonal hematopoietic stem cell disorders characterized by abnormal blood cells, or reduced peripheral blood cell count. Recent clinical studies on combination therapy of decitabine (DAC) and arsenic trioxide (ATO) have demonstrated synergy on MDS treatment, but the treatment can cause significant side effects to patients. In addition, both drugs have to be administered on a daily basis due to their short half-lives. In addressing key issues of reducing toxic side effects and improving pharmacokinetic profiles of the therapeutic agents, we have developed a new formulation by co-packaging DAC and ATO into alendronate-conjugated bone-targeting nanoparticles (BTNPs). Our pharmacokinetic studies revealed that intravenously administered BTNPs increased circulation time up to 3 days. Biodistribution analysis showed that the BTNP facilitated DAC and ATO accumulation in the bone, which is 6.7 and 7.9 times more than untargeted NP. Finally, MDS mouse model treated with BTNPs showed better restoration of complete blood count to normal level, and significantly longer median survival as compared to free drugs or untargeted NPs treatment. Our results support bone-targeted co-delivery of DAC and ATO for effective treatment of MDS. </p><p id="P2"> <div class="figure-container so-text-align-c"> <img alt="" class="figure" src="/document_file/56e45883-8db5-4c91-82a8-cce128fd2ed8/PubMedCentral/image/nihms914843u1.jpg"/> </div> </p>

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          Author and article information

          Journal
          Journal of Controlled Release
          Journal of Controlled Release
          Elsevier BV
          01683659
          December 2017
          December 2017
          : 268
          : 92-101
          Article
          10.1016/j.jconrel.2017.10.012
          5722672
          29042320
          96609710-c41f-4b52-9294-074a42ed638b
          © 2017

          https://www.elsevier.com/tdm/userlicense/1.0/

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