Title |
Focused Ultrasound Enabled Trans‐Blood Brain Barrier Delivery of Gold Nanoclusters: Effect of Surface Charges and Quantification Using Positron Emission Tomography
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Published in |
Small, July 2018
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DOI | 10.1002/smll.201703115 |
Pubmed ID | |
Authors |
Deborah Sultan, Dezhuang Ye, Gyu Seong Heo, Xiaohui Zhang, Hannah Luehmann, Yimei Yue, Lisa Detering, Sergey Komarov, Sara Taylor, Yuan‐Chuan Tai, Joshua B. Rubin, Hong Chen, Yongjian Liu |
Abstract |
Focused ultrasound (FUS) technology is reported to enhance the delivery of 64 Cu-integrated ultrasmall gold nanoclusters (64 Cu-AuNCs) across the blood-brain barrier (BBB) as measured by positron emission tomography (PET). To better define the optimal physical properties for brain delivery, 64 Cu-AuNCs with different surface charges are synthesized and characterized. In vivo biodistribution studies are performed to compare the individual organ uptake of each type of 64 Cu-AuNCs. Quantitative PET imaging post-FUS treatment shows site-targeted brain penetration, retention, and diffusion of the negative, neutral, and positive 64 Cu-AuNCs. Autoradiography is performed to compare the intrabrain distribution of these nanoclusters. PET Imaging demonstrates the effective BBB opening and successful delivery of 64 Cu-AuNCs into the brain. Of the three 64 Cu-AuNCs investigated, the neutrally charged nanostructure performs the best and is the candidate platform for future theranostic applications in neuro-oncology. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 29% |
Researcher | 5 | 12% |
Student > Master | 4 | 10% |
Student > Postgraduate | 3 | 7% |
Professor | 2 | 5% |
Other | 6 | 15% |
Unknown | 9 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 17% |
Agricultural and Biological Sciences | 4 | 10% |
Chemistry | 4 | 10% |
Neuroscience | 3 | 7% |
Medicine and Dentistry | 3 | 7% |
Other | 5 | 12% |
Unknown | 15 | 37% |