Literature DB >> 33151373

The Labeling, Visualization, and Quantification of Hyaluronan Distribution in Tumor-Bearing Mouse Using PET and MR Imaging.

Wangxi Hai1, Xiao Bao1, Kang Sun1, Biao Li2, Jinliang Peng3, Yuhong Xu4.   

Abstract

PURPOSE: Hyaluronan (HA) based biomaterials are widely used as tissue scaffolds, drug formulations, as well as targeting ligands and imaging probes for diagnosis and drug delivery. However, because of the presence of abundant endogenous HA presented in various tissues in vivo, the pharmacokinetic behavior and biodistribution patterns of exogenously administered HAs have not been well characterized.
METHODS: The HA backbone was modified with Diethylenetriamine (DTPA) to enable the chelation of gadolinium (Gd) and aluminum (Al) ions. Series of PET and MR imaging were taken after the injection of HA-DTPA-Gd and HA-DTPA-Al18F while using18F-FDG and Magnevist(DTPA-Gd) as controls. The Tomographic images were analyzed and quantified to reveal the distribution and locations of HA in tumor-bearing mice.
RESULTS: The labeled HAs had good stability in plasma. They retained binding affinity towards CD44s on tumor cell surface. The injected HAs distributed widely in various organs, but were found to be cleared quickly except inside tumor tissues where the signals were higher and persisted longer.
CONCLUSION: Medical imaging tools, including MR and PET, can be highly valuable for examining biomaterial distribution non-invasively. The HA tumor accumulation properties may be explored for the development of active targeting drug carriers and molecular probes.

Entities:  

Keywords:  CD44; MRI; PET imaging; biodistribution; hyaluronan

Mesh:

Substances:

Year:  2020        PMID: 33151373     DOI: 10.1007/s11095-020-02957-y

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  38 in total

1.  New cross-linked and sulfated derivatives of partially deacetylated hyaluronan: synthesis and preliminary characterization.

Authors:  Vittorio Crescenzi; Andrea Francescangeli; Davide Renier; Davide Bellini
Journal:  Biopolymers       Date:  2002-07-05       Impact factor: 2.505

2.  Hyaluronan-decorated polymer nanoparticles targeting the CD44 receptor for the combined photo/chemo-therapy of cancer.

Authors:  Sara Maiolino; Francesca Moret; Claudia Conte; Aurore Fraix; Pasquale Tirino; Francesca Ungaro; Salvatore Sortino; Elena Reddi; Fabiana Quaglia
Journal:  Nanoscale       Date:  2015-03-19       Impact factor: 7.790

3.  CD44-targeted docetaxel conjugate for cancer cells and cancer stem-like cells: a novel hyaluronic acid-based drug delivery system.

Authors:  Navid Goodarzi; Mohammad H Ghahremani; Mohsen Amini; Fatemeh Atyabi; Seyed N Ostad; Nazanin Shabani Ravari; Navid Nateghian; Rassoul Dinarvand
Journal:  Chem Biol Drug Des       Date:  2014-03-13       Impact factor: 2.817

Review 4.  Concise Review: Emerging Role of CD44 in Cancer Stem Cells: A Promising Biomarker and Therapeutic Target.

Authors:  Yongmin Yan; Xiangsheng Zuo; Daoyan Wei
Journal:  Stem Cells Transl Med       Date:  2015-07-01       Impact factor: 6.940

Review 5.  Hyaluronan: its nature, distribution, functions and turnover.

Authors:  J R Fraser; T C Laurent; U B Laurent
Journal:  J Intern Med       Date:  1997-07       Impact factor: 8.989

6.  Surface Engineered Protein Nanoparticles With Hyaluronic Acid Based Multilayers For Targeted Delivery Of Anticancer Agents.

Authors:  Sreeranjini Pulakkat; Sai A Balaji; Annapoorni Rangarajan; Ashok M Raichur
Journal:  ACS Appl Mater Interfaces       Date:  2016-09-02       Impact factor: 9.229

7.  Hyaluronan-CD44/RHAMM interaction-dependent cell proliferation and survival in lung cancer cells.

Authors:  Jung Min Song; Jintaek Im; Richard Seonghun Nho; Yong Hwan Han; Pramod Upadhyaya; Fekadu Kassie
Journal:  Mol Carcinog       Date:  2018-11-12       Impact factor: 4.784

Review 8.  Interactions between Hyaluronan and Its Receptors (CD44, RHAMM) Regulate the Activities of Inflammation and Cancer.

Authors:  Suniti Misra; Vincent C Hascall; Roger R Markwald; Shibnath Ghatak
Journal:  Front Immunol       Date:  2015-05-06       Impact factor: 7.561

9.  Integrin β3 and CD44 levels determine the effects of the OPN-a splicing variant on lung cancer cell growth.

Authors:  Shih-Jung Sun; Chun-Chi Wu; Gwo-Tarng Sheu; Hui-Yi Chang; Mei-Yu Chen; Yu-Ying Lin; Cheng-Yen Chuang; Shih-Lan Hsu; Jinghua Tsai Chang
Journal:  Oncotarget       Date:  2016-08-23

Review 10.  Key Roles of Hyaluronan and Its CD44 Receptor in the Stemness and Survival of Cancer Stem Cells.

Authors:  Theerawut Chanmee; Pawared Ontong; Koji Kimata; Naoki Itano
Journal:  Front Oncol       Date:  2015-08-10       Impact factor: 6.244

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