2
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Mickle AD, Won SM, Noh KN, Yoon J, Meacham KW, Xue Y, McIlvried LA, Copits BA, Samineni VK, Crawford KE, Kim DH, Srivastava P, Kim BH, Min S, Shiuan Y, Yun Y, Payne MA, Zhang J, Jang H, Li Y, Lai HH, Huang Y, Park SI, Gereau RW, Rogers JA. A wireless closed-loop system for optogenetic peripheral neuromodulation. Nature 2019; 565:361-365. [PMID: 30602791 PMCID: PMC6336505 DOI: 10.1038/s41586-018-0823-6] [Citation(s) in RCA: 254] [Impact Index Per Article: 50.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 11/14/2018] [Indexed: 11/18/2022]
Abstract
The fast-growing field of bioelectronic medicine aims to develop engineered systems that relieve clinical conditions through stimulation of the peripheral nervous system (PNS)1–5. Technologies of this type rely largely on electrical stimulation to provide neuromodulation of organ function or pain. One example is sacral nerve stimulation to treat overactive bladder, urinary incontinence and interstitial cystitis/bladder pain syndrome4,6,7. Conventional, continuous stimulation protocols, however, cause discomfort and pain, particularly when treating symptoms that can be intermittent in nature (e.g. sudden urinary urgency)8. Direct physical coupling of electrodes to the nerve can lead to injury and inflammation9–11. Furthermore, typical therapeutic stimulators target large nerve bundles that innervate multiple structures, resulting in a lack of organ specificity. This paper introduces a miniaturized bio-optoelectronic implant that avoids these limitations, via the use of (1) an optical stimulation interface that exploits microscale inorganic light emitting diodes (μ-ILEDs) to activate opsins, (2) a soft, precision biophysical sensor system that allows continuous measurements of organ function, and (3) a control module and data analytics approach that allows coordinated, closed-loop operation of the system to eliminate pathological behaviors as they occur in real-time. In an example reported here, a soft strain gauge yields real-time information on bladder function. Data analytics algorithms identify pathological behavior, and automated, closed-loop optogenetic neuromodulation of bladder sensory afferents normalize bladder function in the context of acute cystitis. This all-optical scheme for neuromodulation offers chronic stability and the potential for cell-type-specific stimulation.
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Affiliation(s)
- Aaron D Mickle
- Washington University Pain Center and Department of Anesthesiology, Washington University, St Louis, MO, USA.,Washington University School of Medicine, St Louis, MO, USA
| | - Sang Min Won
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Kyung Nim Noh
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Jangyeol Yoon
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Kathleen W Meacham
- Washington University Pain Center and Department of Anesthesiology, Washington University, St Louis, MO, USA.,Washington University School of Medicine, St Louis, MO, USA
| | - Yeguang Xue
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA.,Mechanical Engineering, Northwestern University, Evanston, IL, USA.,Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Lisa A McIlvried
- Washington University Pain Center and Department of Anesthesiology, Washington University, St Louis, MO, USA.,Washington University School of Medicine, St Louis, MO, USA
| | - Bryan A Copits
- Washington University Pain Center and Department of Anesthesiology, Washington University, St Louis, MO, USA.,Washington University School of Medicine, St Louis, MO, USA
| | - Vijay K Samineni
- Washington University Pain Center and Department of Anesthesiology, Washington University, St Louis, MO, USA.,Washington University School of Medicine, St Louis, MO, USA
| | - Kaitlyn E Crawford
- Department of Materials Science and Engineering, University of Central Florida, Orlando, FL, USA
| | - Do Hoon Kim
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Paulome Srivastava
- Washington University Pain Center and Department of Anesthesiology, Washington University, St Louis, MO, USA.,Washington University School of Medicine, St Louis, MO, USA
| | - Bong Hoon Kim
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Materials Science and Engineering, Northwestern University, Evanston, IL, USA.,Simpson Querrey Institute, Northwestern University, Chicago, IL, USA.,Center for Bio-integrated Electronics, Northwestern University, Evanston, IL, USA
| | - Seunghwan Min
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Young Shiuan
- Washington University Pain Center and Department of Anesthesiology, Washington University, St Louis, MO, USA.,Washington University School of Medicine, St Louis, MO, USA
| | - Yeojeong Yun
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Maria A Payne
- Washington University School of Medicine, St Louis, MO, USA.,Washington University Department of Surgery - Division of Urologic Surgery, St Louis, MO, USA
| | - Jianpeng Zhang
- Institute of Solid Mechanics, Beihang University (BUAA), Beijing, China
| | - Hokyung Jang
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Yuhang Li
- Institute of Solid Mechanics, Beihang University (BUAA), Beijing, China
| | - H Henry Lai
- Washington University Pain Center and Department of Anesthesiology, Washington University, St Louis, MO, USA.,Washington University School of Medicine, St Louis, MO, USA.,Washington University Department of Surgery - Division of Urologic Surgery, St Louis, MO, USA
| | - Yonggang Huang
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA.,Mechanical Engineering, Northwestern University, Evanston, IL, USA.,Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Sung-Il Park
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA
| | - Robert W Gereau
- Washington University Pain Center and Department of Anesthesiology, Washington University, St Louis, MO, USA. .,Washington University School of Medicine, St Louis, MO, USA.
| | - John A Rogers
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA. .,Mechanical Engineering, Northwestern University, Evanston, IL, USA. .,Materials Science and Engineering, Northwestern University, Evanston, IL, USA. .,Simpson Querrey Institute, Northwestern University, Chicago, IL, USA. .,Center for Bio-integrated Electronics, Northwestern University, Evanston, IL, USA. .,Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA. .,Department of Chemistry, Northwestern University, Evanston, IL, USA. .,Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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5
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Sun M, Kiourti A, Wang H, Zhao S, Zhao G, Lu X, Volakis JL, He X. Enhanced Microwave Hyperthermia of Cancer Cells with Fullerene. Mol Pharm 2016; 13:2184-92. [DOI: 10.1021/acs.molpharmaceut.5b00984] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Mingrui Sun
- Department
of Biomedical Engineering, The Ohio State University, Columbus, Ohio 43210, United States
| | - Asimina Kiourti
- ElectroScience
Laboratory, Department of Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio 43212, United States
| | - Hai Wang
- Department
of Biomedical Engineering, The Ohio State University, Columbus, Ohio 43210, United States
- Comprehensive
Cancer Center, The Ohio State University, Columbus, Ohio 43210, United States
| | - Shuting Zhao
- Department
of Biomedical Engineering, The Ohio State University, Columbus, Ohio 43210, United States
| | - Gang Zhao
- Centre
for Biomedical Engineering, Department of Electronic Science and Technology, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Xiongbin Lu
- Department
of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States
| | - John L. Volakis
- ElectroScience
Laboratory, Department of Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio 43212, United States
| | - Xiaoming He
- Department
of Biomedical Engineering, The Ohio State University, Columbus, Ohio 43210, United States
- Comprehensive
Cancer Center, The Ohio State University, Columbus, Ohio 43210, United States
- Davis Heart
and Lung Research Institute, The Ohio State University, Columbus, Ohio 43210, United States
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8
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Oden JT, Diller KR, Bajaj C, Browne JC, Hazle J, Babuška I, Bass J, Biduat L, Demkowicz L, Elliott A, Feng Y, Fuentes D, Prudhomme S, Rylander MN, Stafford RJ, Zhang Y. Dynamic Data-Driven Finite Element Models for Laser Treatment of Cancer. NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS 2007; 23:904-922. [PMID: 20376194 PMCID: PMC2850081 DOI: 10.1002/num.20251] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Elevating the temperature of cancerous cells is known to increase their susceptibility to subsequent radiation or chemotherapy treatments, and in the case in which a tumor exists as a well-defined region, higher intensity heat sources may be used to ablate the tissue. These facts are the basis for hyperthermia based cancer treatments. Of the many available modalities for delivering the heat source, the application of a laser heat source under the guidance of real-time treatment data has the potential to provide unprecedented control over the outcome of the treatment process [7, 18]. The goals of this work are to provide a precise mathematical framework for the real-time finite element solution of the problems of calibration, optimal heat source control, and goal-oriented error estimation applied to the equations of bioheat transfer and demonstrate that current finite element technology, parallel computer architecture, data transfer infrastructure, and thermal imaging modalities are capable of inducing a precise computer controlled temperature field within the biological domain.
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Affiliation(s)
- J. T. Oden
- Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA
| | - K. R. Diller
- Department of Biomedical Engineering, The University of Texas at Austin, Austin TX 78712, USA
| | - C. Bajaj
- Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA
| | - J. C. Browne
- Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA
| | - J. Hazle
- University of Texas M.D. Anderson Cancer Center, Department of Diagnostic Radiology, Houston TX 77030, USA, Webpage: http://dddas.ices.utexas.edu
| | - I. Babuška
- Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA
| | - J. Bass
- Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA
| | - L. Biduat
- University of Texas M.D. Anderson Cancer Center, Department of Diagnostic Radiology, Houston TX 77030, USA, Webpage: http://dddas.ices.utexas.edu
| | - L. Demkowicz
- Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA
| | - A. Elliott
- University of Texas M.D. Anderson Cancer Center, Department of Diagnostic Radiology, Houston TX 77030, USA, Webpage: http://dddas.ices.utexas.edu
| | - Y. Feng
- Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA
| | - D. Fuentes
- Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA
| | - S. Prudhomme
- Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA
| | - M. N. Rylander
- School of Biomedical Engineering and Sciences, Virginia Tech Virginia Tech - Wake Forest University, Blacksburg, VA 24061, USA
| | - R. J. Stafford
- University of Texas M.D. Anderson Cancer Center, Department of Diagnostic Radiology, Houston TX 77030, USA, Webpage: http://dddas.ices.utexas.edu
| | - Y. Zhang
- Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA
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