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1.
J Drug Target ; 21(5): 427-34, 2013 May.
Article in English | MEDLINE | ID: mdl-23350808

ABSTRACT

BACKGROUND: The use of mesoporous silica for cancer targeting is increasing rapidly. The association between rigid model of nanoparticles such as mesoporous silica and biological compounds with affinity for oncological diseases is a very promising drug targeting system nowadays. METHODS: In this study, we used the mesoporous silica (SBA-15) associated with aptamer (functionalized for the tumor marker MUC-1). RESULTS: The results obtained in the characterization were quite interesting and demonstrated that the silica produced were very uniform and with a size range of 50-100 nm. Thus, the results of cytotoxicity demonstrated that there is no cytotoxicity related to the nanoparticle. CONCLUSION: We conclude that although further studies are required, the nanoparticle mesoporous silica model loaded with aptamer is very functional and its use can be widespread for other application especially in nuclear medicine.


Subject(s)
Aptamers, Peptide/administration & dosage , Aptamers, Peptide/chemistry , Drug Delivery Systems/methods , Nanoparticles/administration & dosage , Nanoparticles/chemistry , Neoplasms/drug therapy , Animals , Biomarkers, Tumor/metabolism , Cell Line, Tumor , Humans , Mice , Mucin-1/metabolism , Neoplasms/metabolism , Particle Size , Porosity , SELEX Aptamer Technique/methods , Silicon Dioxide/administration & dosage , Silicon Dioxide/chemistry , Tissue Distribution
2.
J Pharm Biomed Anal ; 70: 602-4, 2012 Nov.
Article in English | MEDLINE | ID: mdl-22742922

ABSTRACT

Nanotechnology is attracting increasing attention worldwide. This study was made use of modern technology to decipher most of the intriguing biological aspects of nanoparticles. Labeling with technetium-99m ((99m)Tc) of six nanoparticles using different compositions and formulations, as well as complete biodistribution studies in mice was done. The results showed that the behaviors of nanoparticles were very different from each other. Mesoporous silica showed a high affinity for lung tissue, whereas polymeric nanoparticles were rapidly recognized and metabolized by the liver. The six nanoparticles showed different renal clearance times, suggesting that their area mechanisms of action were related to interaction and solubility. The labeling process in all samples showed similar results (all >99%). Biodistribution was demonstrated to be important for the study of nanoparticles, and could be used to predict the possible mechanism of action of nanoparticles.


Subject(s)
Drug Carriers , Nanoparticles , Nanotechnology/methods , Polymers/pharmacokinetics , Silicon Dioxide/pharmacokinetics , Animals , Humans , Injections, Intraocular , Kidney/metabolism , Liver/metabolism , Lung/metabolism , Mice , Polymers/administration & dosage , Silicon Dioxide/administration & dosage , Technetium , Tissue Distribution
3.
Oncology ; 82(4): 213-7, 2012.
Article in English | MEDLINE | ID: mdl-22508189

ABSTRACT

The use of mesoporous silica in targeted cancer therapy is increasing daily. The combination of a rigid model of nanoparticles like mesoporous silica and biological compounds with an affinity for oncological diseases is the most promising drug-targeting system nowadays. In this study, we used the mesoporous silica SBA-15 combined with aptamer (functionalized for tumor with MUC1). The results obtained were of interest and showed the formation of the silica mesoporous structure. The impregnation methodology of mesoporous silica with the aptamer was also confirmed. Cytotoxicity results demonstrated that the particle associated with the aptamer has no cytotoxicity. We conclude that although further studies are required, the mesoporous silica nanoparticle model loaded with aptamer is very functional and can be used for other applications, especially in nuclear medicine.


Subject(s)
Aptamers, Nucleotide/therapeutic use , Biomarkers, Tumor/antagonists & inhibitors , Drug Delivery Systems , Nanoparticles , Neoplasms/drug therapy , Silicon Dioxide/therapeutic use , Biomarkers, Tumor/metabolism , Cell Line, Tumor , Humans , Models, Biological
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