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Lee S, Liu S, Bristol RE, Preul MC, Blain Christen J. Hydrogel Check-Valves for the Treatment of Hydrocephalic Fluid Retention with Wireless Fully-Passive Sensor for the Intracranial Pressure Measurement. Gels 2022; 8:gels8050276. [PMID: 35621574 PMCID: PMC9141151 DOI: 10.3390/gels8050276] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/20/2022] [Accepted: 04/24/2022] [Indexed: 12/04/2022] Open
Abstract
Hydrocephalus (HCP) is a neurological disease resulting from the disruption of the cerebrospinal fluid (CSF) drainage mechanism in the brain. Reliable draining of CSF is necessary to treat hydrocephalus. The current standard of care is an implantable shunt system. However, shunts have a high failure rate caused by mechanical malfunctions, obstructions, infection, blockage, breakage, and over or under drainage. Such shunt failures can be difficult to diagnose due to nonspecific systems and the lack of long-term implantable pressure sensors. Herein, we present the evaluation of a fully realized and passive implantable valve made of hydrogel to restore CSF draining operations within the cranium. The valves are designed to achieve a non-zero cracking pressure and no reverse flow leakage by using hydrogel swelling. The valves were evaluated in a realistic fluidic environment with ex vivo CSF and brain tissue. They display a successful operation across a range of conditions, with negligible reverse flow leakage. Additionally, a novel wireless pressure sensor was incorporated alongside the valve for in situ intracranial pressure measurement. The wireless pressure sensor successfully replicated standard measurements. Those evaluations show the reproducibility of the valve and sensor functions and support the system’s potential as a chronic implant to replace standard shunt systems.
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Affiliation(s)
- Seunghyun Lee
- School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA; (S.L.); (S.L.)
- Children’s Hospital of Orange County, Orange, CA 92868, USA
| | - Shiyi Liu
- School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA; (S.L.); (S.L.)
| | | | - Mark C. Preul
- Barrow Neurological Institute, Phoenix, AZ 85013, USA;
| | - Jennifer Blain Christen
- School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA; (S.L.); (S.L.)
- Correspondence:
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Jeon S, Kim S, Ha S, Lee S, Kim E, Kim SY, Park SH, Jeon JH, Kim SW, Moon C, Nelson BJ, Kim JY, Yu SW, Choi H. Magnetically actuated microrobots as a platform for stem cell transplantation. Sci Robot 2021; 4:4/30/eaav4317. [PMID: 33137727 DOI: 10.1126/scirobotics.aav4317] [Citation(s) in RCA: 130] [Impact Index Per Article: 43.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 04/25/2019] [Indexed: 12/11/2022]
Abstract
Magnetic microrobots were developed for three-dimensional culture and the precise delivery of stem cells in vitro, ex vivo, and in vivo. Hippocampal neural stem cells attached to the microrobots proliferated and differentiated into astrocytes, oligodendrocytes, and neurons. Moreover, microrobots were used to transport colorectal carcinoma cancer cells to tumor microtissue in a body-on-a-chip, which comprised an in vitro liver-tumor microorgan network. The microrobots were also controlled in a mouse brain slice and rat brain blood vessel. Last, microrobots carrying mesenchymal stem cells derived from human nose were manipulated inside the intraperitoneal cavity of a nude mouse. The results indicate the potential of microrobots for the culture and delivery of stem cells.
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Affiliation(s)
- Sungwoong Jeon
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, South Korea.,DGIST-ETH Microrobotics Research Center, DGIST, Daegu 42988, South Korea
| | - Sangwon Kim
- Institute of Robotic and Intelligent System (IRIS), ETH, Zurich 8092, Switzerland
| | - Shinwon Ha
- Department of Brain and Cognitive Sciences, DGIST, Daegu 42988, South Korea
| | - Seungmin Lee
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, South Korea.,DGIST-ETH Microrobotics Research Center, DGIST, Daegu 42988, South Korea
| | - Eunhee Kim
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, South Korea.,DGIST-ETH Microrobotics Research Center, DGIST, Daegu 42988, South Korea
| | - So Yeun Kim
- Department of Brain and Cognitive Sciences, DGIST, Daegu 42988, South Korea
| | - Sun Hwa Park
- Postech-Catholic Biomedical Engineering Institute, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Jung Ho Jeon
- Postech-Catholic Biomedical Engineering Institute, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Sung Won Kim
- Postech-Catholic Biomedical Engineering Institute, College of Medicine, The Catholic University of Korea, Seoul, South Korea.,Department of Otolaryngology-Head and Neck Surgery, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul 06591, South Korea
| | - Cheil Moon
- Department of Brain and Cognitive Sciences, DGIST, Daegu 42988, South Korea
| | - Bradley J Nelson
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, South Korea.,DGIST-ETH Microrobotics Research Center, DGIST, Daegu 42988, South Korea.,Institute of Robotic and Intelligent System (IRIS), ETH, Zurich 8092, Switzerland
| | - Jin-Young Kim
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, South Korea. .,DGIST-ETH Microrobotics Research Center, DGIST, Daegu 42988, South Korea
| | - Seong-Woon Yu
- Department of Brain and Cognitive Sciences, DGIST, Daegu 42988, South Korea.
| | - Hongsoo Choi
- Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, South Korea. .,DGIST-ETH Microrobotics Research Center, DGIST, Daegu 42988, South Korea
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Lee S, Bristol RE, Preul MC, Chae J. Three-Dimensionally Printed Microelectromechanical-System Hydrogel Valve for Communicating Hydrocephalus. ACS Sens 2020; 5:1398-1404. [PMID: 32141291 DOI: 10.1021/acssensors.0c00181] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Hydrocephalus (HCP) is a chronic neurological brain disorder caused by a malfunction of the cerebrospinal fluid (CSF) drainage mechanism in the brain. The current standard method to treat HCP is a shunt system. Unfortunately, the shunt system suffers from complications including mechanical malfunctions, obstructions, infections, blockage, breakage, overdrainage, and/or underdrainage. Some of these complications may be attributed to the shunts' physically large and lengthy course making them susceptible to external forces, siphoning effects, and risks of infection. Additionally, intracranial catheters artificially traverse the brain and drain the ventricle rather than the subarachnoid space. We report a 3D-printed microelectromechanical system-based implantable valve to improve HCP treatment. This device provides an alternative approach targeting restoration of near-natural CSF dynamics by artificial arachnoid granulations (AGs), natural components for CSF drainage in the brain. The valve, made of hydrogel, aims to regulate the CSF flow between the subarachnoid space and the superior sagittal sinus, in essence, substituting for the obstructed arachnoid granulations. The valve, operating in a fully passive manner, utilizes the hydrogel swelling feature to create nonzero cracking pressure, PT ≈ 47.4 ± 6.8 mmH2O, as well as minimize reverse flow leakage, QO ≈ 0.7 μL/min on benchtop experiments. The additional measurements performed in realistic experimental setups using a fixed sheep brain also deliver comparable results, PT ≈ 113.0 ± 9.8 mmH2O and QO ≈ 3.7 μL/min. In automated loop functional tests, the valve maintains functionality for a maximum of 1536 cycles with the PT variance of 44.5 mmH2O < PT < 61.1 mmH2O and negligible average reverse flow leakage rates of ∼0.3 μL/min.
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Affiliation(s)
- Seunghyun Lee
- School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85281, United States
| | - Ruth E. Bristol
- Phoenix Children’s Hospital, Phoenix, Arizona 85016, United States
| | - Mark C. Preul
- Dignity Health, Phoenix, Arizona 85013, United States
| | - Junseok Chae
- School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85281, United States
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