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Sun B, Bte Rahmat JN, Kim HJ, Mahendran R, Esuvaranathan K, Chiong E, Ho JS, Neoh KG, Zhang Y. Wirelessly Activated Nanotherapeutics for In Vivo Programmable Photodynamic-Chemotherapy of Orthotopic Bladder Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2200731. [PMID: 35393785 PMCID: PMC9165499 DOI: 10.1002/advs.202200731] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 02/28/2022] [Indexed: 06/14/2023]
Abstract
Photochemical internalization (PCI) is a promising intervention using photodynamic therapy (PDT) to enhance the activity of chemotherapeutic drugs. However, current bladder cancer treatments involve high-dose chemotherapy and high-irradiance PDT which cause debilitating side effects. Moreover, low penetration of light and drugs in target tissues and cumbersome light delivery procedures hinder the clinical utility of PDT and chemotherapy combination for PCI. To circumvent these challenges, a photodynamic-chemotherapy approach is developed comprising tumor-targeting glycosylated nanocarriers, coloaded with chlorin e6 (Ce6) and gemcitabine elaidate (GemE), and a miniaturized implantable wirelessly powered light-emitting diode (LED) as a light source. The device successfully delivers four weekly light doses to the bladder while the nanocarrier promoted the specific accumulation of drugs in tumors. This approach facilitates the combination of low-irradiance PDT (1 mW cm-2 ) and low-dose chemotherapy (≈1500× lower than clinical dose) which significantly cures and controls orthotopic disease burden (90% treated vs control, 35%) in mice, demonstrating a potential new bladder cancer treatment option.
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Affiliation(s)
- Bowen Sun
- Department of Chemical and Biomolecular EngineeringCollege of Design and EngineeringNational University of SingaporeSingapore117585Singapore
| | - Juwita Norasmara Bte Rahmat
- Department of Biomedical EngineeringCollege of Design and EngineeringNational University of SingaporeSingapore117583Singapore
| | - Han Joon Kim
- Department of Electrical and Computer EngineeringCollege of Design and EngineeringNational University of SingaporeSingapore117583Singapore
| | - Ratha Mahendran
- Department of SurgeryYong Loo Lin School of MedicineNational University of SingaporeSingapore119228Singapore
| | - Kesavan Esuvaranathan
- Department of SurgeryYong Loo Lin School of MedicineNational University of SingaporeSingapore119228Singapore
- Department of UrologyNational University Health SystemSingapore119228Singapore
| | - Edmund Chiong
- Department of SurgeryYong Loo Lin School of MedicineNational University of SingaporeSingapore119228Singapore
- Department of UrologyNational University Health SystemSingapore119228Singapore
| | - John S. Ho
- Department of Electrical and Computer EngineeringCollege of Design and EngineeringNational University of SingaporeSingapore117583Singapore
- Institute for Health Innovation and TechnologyNational University of SingaporeSingapore119276Singapore
- The N.1 Institute for HealthNational University of SingaporeSingapore117456Singapore
| | - Koon Gee Neoh
- Department of Chemical and Biomolecular EngineeringCollege of Design and EngineeringNational University of SingaporeSingapore117585Singapore
| | - Yong Zhang
- Department of Biomedical EngineeringCollege of Design and EngineeringNational University of SingaporeSingapore117583Singapore
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Liu Z, Xu D, Fang J, Xia Q, Zhong W, Li H, Huang Z, Cao N, Liu X, Chen HJ, Hu N. Intracellular Recording of Cardiomyocytes by Integrated Electrical Signal Recording and Electrical Pulse Regulating System. Front Bioeng Biotechnol 2021; 9:799312. [PMID: 34976989 PMCID: PMC8714743 DOI: 10.3389/fbioe.2021.799312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 11/30/2021] [Indexed: 11/20/2022] Open
Abstract
The electrophysiological signal can reflect the basic activity of cardiomyocytes, which is often used to study the working mechanism of heart. Intracellular recording is a powerful technique for studying transmembrane potential, proving a favorable strategy for electrophysiological research. To obtain high-quality and high-throughput intracellular electrical signals, an integrated electrical signal recording and electrical pulse regulating system based on nanopatterned microelectrode array (NPMEA) is developed in this work. Due to the large impedance of the electrode, a high-input impedance preamplifier is required. The high-frequency noise of the circuit and the baseline drift of the sensor are suppressed by a band-pass filter. After amplifying the signal, the data acquisition card (DAQ) is used to collect the signal. Meanwhile, the DAQ is utilized to generate pulses, achieving the electroporation of cells by NPMEA. Each channel uses a voltage follower to improve the pulse driving ability and isolates each electrode. The corresponding recording control software based on LabVIEW is developed to control the DAQ to collect, display and record electrical signals, and generate pulses. This integrated system can achieve high-throughput detection of intracellular electrical signals and provide a reliable recording tool for cell electro-physiological investigation.
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Affiliation(s)
- Zhengjie Liu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China
| | - Dongxin Xu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China
| | - Jiaru Fang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China
| | - Qijian Xia
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China
| | - Wenxi Zhong
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China
| | - Hongbo Li
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China
| | - Zhanyun Huang
- Laboratory Teaching Center of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China
| | - Nan Cao
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Xingxing Liu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Xingxing Liu, ; Hui-Jiuan Chen, ; Ning Hu, ,
| | - Hui-Jiuan Chen
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Xingxing Liu, ; Hui-Jiuan Chen, ; Ning Hu, ,
| | - Ning Hu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China
- Laboratory Teaching Center of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, China
- *Correspondence: Xingxing Liu, ; Hui-Jiuan Chen, ; Ning Hu, ,
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Toczek J, Boodagh P, Sanzida N, Ghim M, Salarian M, Gona K, Kukreja G, Rajendran S, Wei L, Han J, Zhang J, Jung JJ, Graham M, Liu X, Sadeghi MM. Computed tomography imaging of macrophage phagocytic activity in abdominal aortic aneurysm. Theranostics 2021; 11:5876-5888. [PMID: 33897887 PMCID: PMC8058712 DOI: 10.7150/thno.55106] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 03/02/2021] [Indexed: 11/21/2022] Open
Abstract
Inflammation plays a major role in the pathogenesis of several vascular pathologies, including abdominal aortic aneurysm (AAA). Evaluating the role of inflammation in AAA pathobiology and potentially outcome in vivo requires non-invasive tools for high-resolution imaging. We investigated the feasibility of X-ray computed tomography (CT) imaging of phagocytic activity using nanoparticle contrast agents to predict AAA outcome. Methods: Uptake of several nanoparticle CT contrast agents was evaluated in a macrophage cell line. The most promising agent, Exitron nano 12000, was further characterized in vitro and used for subsequent in vivo testing. AAA was induced in Apoe-/- mice through angiotensin II (Ang II) infusion for up to 4 weeks. Nanoparticle biodistribution and uptake in AAA were evaluated by CT imaging in Ang II-infused Apoe-/- mice. After imaging, the aortic tissue was harvested and used from morphometry, transmission electron microscopy and gene expression analysis. A group of Ang II-infused Apoe-/- mice underwent nanoparticle-enhanced CT imaging within the first week of Ang II infusion, and their survival and aortic external diameter were evaluated at 4 weeks to address the value of vessel wall CT enhancement in predicting AAA outcome. Results: Exitron nano 12000 showed specific uptake in macrophages in vitro. Nanoparticle accumulation was observed by CT imaging in tissues rich in mononuclear phagocytes. Aortic wall enhancement was detectable on delayed CT images following nanoparticle administration and correlated with vessel wall CD68 expression. Transmission electron microscopy ascertained the presence of nanoparticles in AAA adventitial macrophages. Nanoparticle-induced CT enhancement on images obtained within one week of AAA induction was predictive of AAA outcome at 4 weeks. Conclusions: By establishing the feasibility of CT-based molecular imaging of phagocytic activity in AAA, this study links the inflammatory signal on early time point images to AAA evolution. This readily available technology overcomes an important barrier to cross-sectional, longitudinal and outcome studies, not only in AAA, but also in other cardiovascular pathologies and facilitates the evaluation of modulatory interventions, and ultimately upon clinical translation, patient management.
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Affiliation(s)
- Jakub Toczek
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Parnaz Boodagh
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Nowshin Sanzida
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Mean Ghim
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Mani Salarian
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Kiran Gona
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Gunjan Kukreja
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Saranya Rajendran
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Linyan Wei
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Jinah Han
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Jiasheng Zhang
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Jae-Joon Jung
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
| | - Morven Graham
- CCMI Electron Microscopy Core Facility, Yale University School of Medicine, New Haven, CT (USA)
| | - Xinran Liu
- CCMI Electron Microscopy Core Facility, Yale University School of Medicine, New Haven, CT (USA)
| | - Mehran M. Sadeghi
- Cardiovascular Molecular Imaging Laboratory, Section of Cardiovascular Medicine and Yale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (USA)
- Veterans Affairs Connecticut Healthcare System, West Haven, CT (USA)
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