Literature DB >> 19489605

Radiolabeling of biodegradable polymeric microspheres with [99mTc(CO)3]+ and in vivo biodistribution evaluation using MicroSPECT/CT imaging.

Katayoun Saatchi1, Urs O Häfeli.   

Abstract

Poly(L-lactide) (PLA) microspheres tailored with a tridentate chelating group were radiolabeled with [(99m)Tc(H(2)O)(3)(CO)(3)](+) and optimized for labeling efficiency and stability. Various ligand-polymer blend compositions with commercial PLA (from 2% to 100%) were evaluated. Labeling efficiencies over 95% were achieved in a 5 min reaction using 100% of the ligand-polymer or within 15 min using a 5% ligand-polymer blend. The addition of 1.5% of PEGylated copolymer to the blend did not affect the labeling efficiency of these particles but changed their in vivo behavior. MicroSPECT/CT imaging showed significant uptake of non-PEGylated microspheres by the murine lung, while only the liver and spleen took up PEGylated microspheres. Such (99m)Tc radiolabeled biodegradable microspheres will be useful diagnostic imaging agents for visualization of the functioning reticuloendothelial system (RES). Similarly, other sizes of the same microspheres will allow imaging of lung perfusion, bone marrow, lymph and inflammation scintigraphy, and radioembolization therapy.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19489605     DOI: 10.1021/bc900066j

Source DB:  PubMed          Journal:  Bioconjug Chem        ISSN: 1043-1802            Impact factor:   4.774


  3 in total

1.  Glycol-Chitosan-Based Technetium-99m-Loaded Multifunctional Nanomicelles: Synthesis, Evaluation, and In Vivo Biodistribution.

Authors:  Nashmia Zia; Zafar Iqbal; Abida Raza; Aadarash Zia; Rabia Shafique; Saiqa Andleeb; Gilbert C Walker
Journal:  Nanomaterials (Basel)       Date:  2022-06-27       Impact factor: 5.719

2.  Radioembolization of Hepatocellular Carcinoma with Built-In Dosimetry: First in vivo Results with Uniformly-Sized, Biodegradable Microspheres Labeled with 188Re.

Authors:  José Carlos De La Vega; Pedro Luis Esquinas; Cristina Rodríguez-Rodríguez; Mehrdad Bokharaei; Igor Moskalev; David Liu; Katayoun Saatchi; Urs O Häfeli
Journal:  Theranostics       Date:  2019-01-25       Impact factor: 11.556

3.  Deep learning-enabled multi-organ segmentation in whole-body mouse scans.

Authors:  Oliver Schoppe; Chenchen Pan; Javier Coronel; Hongcheng Mai; Zhouyi Rong; Mihail Ivilinov Todorov; Annemarie Müskes; Fernando Navarro; Hongwei Li; Ali Ertürk; Bjoern H Menze
Journal:  Nat Commun       Date:  2020-11-06       Impact factor: 14.919

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.