| Title |
A Study of Liposomal Formulations to Improve the Delivery of Aquated Cisplatin to a Multidrug Resistant Tumor
|
|---|---|
| Published in |
Pharmaceutical Research, May 2015
|
| DOI | 10.1007/s11095-015-1702-6 |
| Pubmed ID | |
| Authors |
Yucheng Zhao, Jonathan P. May, I-Wen Chen, Elijus Undzys, Shyh-Dar Li |
| Abstract |
This study was aimed at exploring the use of liposomes to deliver aquated cisplatin (ACP), a metabolite of CDDP, with increased potency and toxicity. Three liposomal formulations were compared for delivery of ACP to a multidrug resistant tumor. Three different liposomes (DMPC, DPPC and DSPC as the main lipid components) were loaded with ACP by the thin-film hydration method. In vitro drug release was assessed over 72 h at 37°C in PBS. The pharmacokinetics of free CDDP and the three ACP liposomes was determined using ICP-AES and their efficacy against EMT6-AR1 multidrug resistant murine breast tumor was compared. The DSPC formulation, composed of a C18 acyl chain lipid, exhibited the slowest drug release (~2%) after 72 h at 37°C, compared to the other two formulations with decreased carbon chain lengths (C16 and C14; 7 and 25% release respectively). The pharmacokinetic profile was improved with all liposomal formulations relative to free CDDP, with clearance reduced by 500-fold for DSPC, 200-fold for DPPC and 130-fold for DMPC. The DSPC formulation displayed the highest drug accumulation in the tumor with 2-fold, 3-fold and 100-fold increases compared to DPPC, DMPC and free CDDP respectively. The DSPC formulation significantly inhibited the EMT6-AR1 tumor growth by ~90%, while the other formulations displayed no statistically significant improved activity compared to saline. These results suggest that the DSPC liposomal formulation is a promising formulation for MDR tumor therapy over DMPC and DPPC formulations and free drug. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 15% |
| Student > Bachelor | 3 | 15% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Master | 2 | 10% |
| Other | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 9 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 4 | 20% |
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 June 2016.
All research outputs
#20,298,249
of 22,835,198 outputs
Outputs from Pharmaceutical Research
#2,646
of 2,857 outputs
Outputs of similar age
#222,085
of 264,400 outputs
Outputs of similar age from Pharmaceutical Research
#22
of 24 outputs
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