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Wang Z, Tan C, Peng M, Yu Y, Zhong F, Wang P, He T, Wang Y, Zhang Z, Xie R, Wang F, He S, Zhou P, Hu W. Giant infrared bulk photovoltaic effect in tellurene for broad-spectrum neuromodulation. LIGHT, SCIENCE & APPLICATIONS 2024; 13:277. [PMID: 39327457 PMCID: PMC11427709 DOI: 10.1038/s41377-024-01640-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Revised: 08/30/2024] [Accepted: 09/14/2024] [Indexed: 09/28/2024]
Abstract
Given the surpassing of the Shockley-Quiesser efficiency limit in conventional p-n junction photovoltaic effect, bulk photovoltaic effect (BPVE) has garnered significant research interest. However, the BPVE primarily focuses on a narrow wavelength range, limiting its potential applications. Here we report a giant infrared bulk photovoltaic effect in tellurene (Te) for broad-spectrum neuromodulation. The generated photocurrent in uniformly illuminated Te excludes other photoelectric effects and is attributed to the BPVE. The bulk photovoltaic wavelength in Te spans a wide range from the ultraviolet (390 nm) to the mid-infrared (3.8 µm). Moreover, the photocurrent density of 70.4 A cm-2 under infrared light simulation outperforms that in previous ultraviolet and visible semiconductors as well as infrared semimetals. Te attached to the dendrites or somata of the cortical neurons successfully elicit action potentials under broad-spectrum light irradiation. This work lays the foundation for the further development of infrared BPVE in narrow bandgap materials.
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Affiliation(s)
- Zhen Wang
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
- State Key Laboratory of ASIC and System, Department of Microelectronics, Fudan University, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Chunhua Tan
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Meng Peng
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
- School of Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China
| | - Yiye Yu
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
| | - Fang Zhong
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
| | - Peng Wang
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ting He
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
| | - Yang Wang
- State Key Laboratory of ASIC and System, Department of Microelectronics, Fudan University, Shanghai, China
| | - Zhenhan Zhang
- State Key Laboratory of ASIC and System, Department of Microelectronics, Fudan University, Shanghai, China
| | - Runzhang Xie
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fang Wang
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shuijin He
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
- Shanghai Clinical Research and Trial Center, Shanghai, China.
| | - Peng Zhou
- State Key Laboratory of ASIC and System, Department of Microelectronics, Fudan University, Shanghai, China.
| | - Weida Hu
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
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2
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McAlinden N, Reiche CF, Clark AM, Scharf R, Cheng Y, Sharma R, Rieth L, Dawson MD, Angelucci A, Mathieson K, Blair S. In vivooptogenetics using a Utah Optrode Array with enhanced light output and spatial selectivity. J Neural Eng 2024; 21:046051. [PMID: 39084245 DOI: 10.1088/1741-2552/ad69c3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 07/31/2024] [Indexed: 08/02/2024]
Abstract
Objective.Optogenetics allows the manipulation of neural circuitsin vivowith high spatial and temporal precision. However, combining this precision with control over a significant portion of the brain is technologically challenging (especially in larger animal models).Approach.Here, we have developed, optimised, and testedin vivo, the Utah Optrode Array (UOA), an electrically addressable array of optical needles and interstitial sites illuminated by 181μLEDs and used to optogenetically stimulate the brain. The device is specifically designed for non-human primate studies.Main results.Thinning the combinedμLED and needle backplane of the device from 300μm to 230μm improved the efficiency of light delivery to tissue by 80%, allowing lowerμLED drive currents, which improved power management and thermal performance. The spatial selectivity of each site was also improved by integrating an optical interposer to reduce stray light emission. These improvements were achieved using an innovative fabrication method to create an anodically bonded glass/silicon substrate with through-silicon vias etched, forming an optical interposer. Optical modelling was used to demonstrate that the tip structure of the device had a major influence on the illumination pattern. The thermal performance was evaluated through a combination of modelling and experiment, in order to ensure that cortical tissue temperatures did not rise by more than 1 °C. The device was testedin vivoin the visual cortex of macaque expressing ChR2-tdTomato in cortical neurons.Significance.It was shown that the UOA produced the strongest optogenetic response in the region surrounding the needle tips, and that the extent of the optogenetic response matched the predicted illumination profile based on optical modelling-demonstrating the improved spatial selectivity resulting from the optical interposer approach. Furthermore, different needle illumination sites generated different patterns of low-frequency potential activity.
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Affiliation(s)
- Niall McAlinden
- SUPA, Institute of Photonics, Department of Physics, University of Strathclyde, Glasgow, United Kingdom
| | - Christopher F Reiche
- Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, United States of America
| | - Andrew M Clark
- Department of Ophthalmology and Visual Science, Moran Eye Institute, University of Utah, Salt Lake City, UT, United States of America
| | - Robert Scharf
- Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, United States of America
| | - Yunzhou Cheng
- SUPA, Institute of Photonics, Department of Physics, University of Strathclyde, Glasgow, United Kingdom
| | - Rohit Sharma
- Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, United States of America
| | - Loren Rieth
- Department of Mechanical, Materials and Aerospace Engineering, West Virginia University, Morgantown, WV, United States of America
| | - Martin D Dawson
- SUPA, Institute of Photonics, Department of Physics, University of Strathclyde, Glasgow, United Kingdom
| | - Alessandra Angelucci
- Department of Ophthalmology and Visual Science, Moran Eye Institute, University of Utah, Salt Lake City, UT, United States of America
| | - Keith Mathieson
- SUPA, Institute of Photonics, Department of Physics, University of Strathclyde, Glasgow, United Kingdom
| | - Steve Blair
- Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, United States of America
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Sun C, Fan Q, Xie R, Luo C, Hu B, Wang Q. Tetherless Optical Neuromodulation: Wavelength from Orange-red to Mid-infrared. Neurosci Bull 2024; 40:1173-1188. [PMID: 38372931 PMCID: PMC11306867 DOI: 10.1007/s12264-024-01179-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 11/11/2023] [Indexed: 02/20/2024] Open
Abstract
Optogenetics, a technique that employs light for neuromodulation, has revolutionized the study of neural mechanisms and the treatment of neurological disorders due to its high spatiotemporal resolution and cell-type specificity. However, visible light, particularly blue and green light, commonly used in conventional optogenetics, has limited penetration in biological tissue. This limitation necessitates the implantation of optical fibers for light delivery, especially in deep brain regions, leading to tissue damage and experimental constraints. To overcome these challenges, the use of orange-red and infrared light with greater tissue penetration has emerged as a promising approach for tetherless optical neuromodulation. In this review, we provide an overview of the development and applications of tetherless optical neuromodulation methods with long wavelengths. We first discuss the exploration of orange-red wavelength-responsive rhodopsins and their performance in tetherless optical neuromodulation. Then, we summarize two novel tetherless neuromodulation methods using near-infrared light: upconversion nanoparticle-mediated optogenetics and photothermal neuromodulation. In addition, we discuss recent advances in mid-infrared optical neuromodulation.
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Affiliation(s)
- Chao Sun
- Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, Xi'an, 710119, China
- Key Laboratory of Biomedical Spectroscopy of Xi'an, Key Laboratory of Spectral Imaging Technology, XIOPM, Chinese Academy of Sciences, Xi'an, 710119, China
| | - Qi Fan
- Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, Xi'an, 710119, China
- Key Laboratory of Biomedical Spectroscopy of Xi'an, Key Laboratory of Spectral Imaging Technology, XIOPM, Chinese Academy of Sciences, Xi'an, 710119, China
| | - Rougang Xie
- Department of Neurobiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Ceng Luo
- Department of Neurobiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Bingliang Hu
- Key Laboratory of Biomedical Spectroscopy of Xi'an, Key Laboratory of Spectral Imaging Technology, XIOPM, Chinese Academy of Sciences, Xi'an, 710119, China
| | - Quan Wang
- Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, Xi'an, 710119, China.
- Key Laboratory of Biomedical Spectroscopy of Xi'an, Key Laboratory of Spectral Imaging Technology, XIOPM, Chinese Academy of Sciences, Xi'an, 710119, China.
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4
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Cooper L, Malinao MG, Hong G. Force-Based Neuromodulation. Acc Chem Res 2024; 57:1384-1397. [PMID: 38657038 PMCID: PMC11401649 DOI: 10.1021/acs.accounts.4c00074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Technologies for neuromodulation have rapidly developed in the past decade with a particular emphasis on creating noninvasive tools with high spatial and temporal precision. The existence of such tools is critical in the advancement of our understanding of neural circuitry and its influence on behavior and neurological disease. Existing technologies have employed various modalities, such as light, electrical, and magnetic fields, to interface with neural activity. While each method offers unique advantages, many struggle with modulating activity with high spatiotemporal precision without the need for invasive tools. One modality of interest for neuromodulation has been the use of mechanical force. Mechanical force encapsulates a broad range of techniques, ranging from mechanical waves delivered via focused ultrasound (FUS) to torque applied to the cell membrane.Mechanical force can be delivered to the tissue in two forms. The first form is the delivery of a mechanical force through focused ultrasound. Energy delivery facilitated by FUS has been the foundation for many neuromodulation techniques, owing to its precision and penetration depth. FUS possesses the potential to penetrate deeply (∼centimeters) into tissue while maintaining relatively precise spatial resolution, although there exists a trade-off between the penetration depth and spatial resolution. FUS may work synergistically with ultrasound-responsive nanotransducers or devices to produce a secondary energy, such as light, heat, or an electric field, in the target region. This layered technology, first enabled by noninvasive FUS, overcomes the need for bulky invasive implants and also often improves the spatiotemporal precision of light, heat, electrical fields, or other techniques alone. Conversely, the second form of mechanical force modulation is the generation of mechanical force from other modalities, such as light or magnetic fields, for neuromodulation via mechanosensitive proteins. This approach localizes the mechanical force at the cellular level, enhancing the precision of the original energy delivery. Direct interaction of mechanical force with tissue presents translational potential in its ability to interface with endogenous mechanosensitive proteins without the need for transgenes.In this Account, we categorize force-mediated neuromodulation into two categories: 1) methods where mechanical force is the primary stimulus and 2) methods where mechanical force is generated as a secondary stimulus in response to other modalities. We summarize the general design principles and current progress of each respective approach. We identify the key advantages of the limitations of each technology, particularly noting features in spatiotemporal precision, the need for transgene delivery, and the potential outlook. Finally, we highlight recent technologies that leverage mechanical force for enhanced spatiotemporal precision and advanced applications.
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Affiliation(s)
- Lauren Cooper
- Department of Mechanical Engineering, Stanford University, Stanford, California 94305, United States
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California 94305, United States
| | - Marigold Gil Malinao
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California 94305, United States
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, United States
| | - Guosong Hong
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California 94305, United States
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, United States
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5
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Ling W, Shang X, Yu C, Li C, Xu K, Feng L, Wei Y, Tang T, Huang X. Miniaturized Implantable Fluorescence Probes Integrated with Metal-Organic Frameworks for Deep Brain Dopamine Sensing. ACS NANO 2024; 18:10596-10608. [PMID: 38557034 DOI: 10.1021/acsnano.4c00632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Continuously monitoring neurotransmitter dynamics can offer profound insights into neural mechanisms and the etiology of neurological diseases. Here, we present a miniaturized implantable fluorescence probe integrated with metal-organic frameworks (MOFs) for deep brain dopamine sensing. The probe is assembled from physically thinned light-emitting diodes (LEDs) and phototransistors, along with functional surface coatings, resulting in a total thickness of 120 μm. A fluorescent MOF that specifically binds dopamine is introduced, enabling a highly sensitive dopamine measurement with a detection limit of 79.9 nM. A compact wireless circuit weighing only 0.85 g is also developed and interfaced with the probe, which was later applied to continuously monitor real-time dopamine levels during deep brain stimulation in rats, providing critical information on neurotransmitter dynamics. Cytotoxicity tests and immunofluorescence analysis further suggest a favorable biocompatibility of the probe for implantable applications. This work presents fundamental principles and techniques for integrating fluorescent MOFs and flexible electronics for brain-computer interfaces and may provide more customized platforms for applications in neuroscience, disease tracing, and smart diagnostics.
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Affiliation(s)
- Wei Ling
- Research Center for Augmented Intelligence, Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou 311121, China
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China
| | - Xue Shang
- Research Center for Intelligent Sensing Systems, Research Institute of Intelligent Sensing, Zhejiang Lab, Hangzhou 311121, China
| | - Chaonan Yu
- Nanhu Brain-computer Interface Institute, Hangzhou 311100, China
| | - Chenxi Li
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin 300072, China
| | - Kedi Xu
- Nanhu Brain-computer Interface Institute, Hangzhou 311100, China
- Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Linqing Feng
- Research Center for Augmented Intelligence, Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou 311121, China
| | - Yina Wei
- Research Center for Augmented Intelligence, Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou 311121, China
| | - Tao Tang
- Research Center for Augmented Intelligence, Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou 311121, China
| | - Xian Huang
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin 300072, China
- Center of Flexible Wearable Technology, Institute of Flexible Electronic Technology of Tsinghua, 906 Yatai Road, Jiaxing 314006, China
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6
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Stoddart PR, Begeng JM, Tong W, Ibbotson MR, Kameneva T. Nanoparticle-based optical interfaces for retinal neuromodulation: a review. Front Cell Neurosci 2024; 18:1360870. [PMID: 38572073 PMCID: PMC10987880 DOI: 10.3389/fncel.2024.1360870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 03/04/2024] [Indexed: 04/05/2024] Open
Abstract
Degeneration of photoreceptors in the retina is a leading cause of blindness, but commonly leaves the retinal ganglion cells (RGCs) and/or bipolar cells extant. Consequently, these cells are an attractive target for the invasive electrical implants colloquially known as "bionic eyes." However, after more than two decades of concerted effort, interfaces based on conventional electrical stimulation approaches have delivered limited efficacy, primarily due to the current spread in retinal tissue, which precludes high-acuity vision. The ideal prosthetic solution would be less invasive, provide single-cell resolution and an ability to differentiate between different cell types. Nanoparticle-mediated approaches can address some of these requirements, with particular attention being directed at light-sensitive nanoparticles that can be accessed via the intrinsic optics of the eye. Here we survey the available known nanoparticle-based optical transduction mechanisms that can be exploited for neuromodulation. We review the rapid progress in the field, together with outstanding challenges that must be addressed to translate these techniques to clinical practice. In particular, successful translation will likely require efficient delivery of nanoparticles to stable and precisely defined locations in the retinal tissues. Therefore, we also emphasize the current literature relating to the pharmacokinetics of nanoparticles in the eye. While considerable challenges remain to be overcome, progress to date shows great potential for nanoparticle-based interfaces to revolutionize the field of visual prostheses.
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Affiliation(s)
- Paul R. Stoddart
- School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia
| | - James M. Begeng
- School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia
- Department of Biomedical Engineering, Faculty of Engineering & Information Technology, The University of Melbourne, Melbourne, VIC, Australia
| | - Wei Tong
- Department of Biomedical Engineering, Faculty of Engineering & Information Technology, The University of Melbourne, Melbourne, VIC, Australia
- School of Physics, The University of Melbourne, Melbourne, VIC, Australia
| | - Michael R. Ibbotson
- Department of Biomedical Engineering, Faculty of Engineering & Information Technology, The University of Melbourne, Melbourne, VIC, Australia
| | - Tatiana Kameneva
- School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia
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7
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McAlinden N, Reiche CF, Clark AM, Scharf R, Cheng Y, Sharma R, Rieth L, Dawson MD, Angelucci A, Mathieson K, Blair S. In vivo optogenetics using a Utah Optrode Array with enhanced light output and spatial selectivity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.18.585479. [PMID: 38562871 PMCID: PMC10983961 DOI: 10.1101/2024.03.18.585479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Optogenetics allows manipulation of neural circuits in vivo with high spatial and temporal precision. However, combining this precision with control over a significant portion of the brain is technologically challenging (especially in larger animal models). Here, we have developed, optimised, and tested in vivo, the Utah Optrode Array (UOA), an electrically addressable array of optical needles and interstitial sites illuminated by 181 µLEDs and used to optogenetically stimulate the brain. The device is specifically designed for non-human primate studies. Thinning the combined µLED and needle backplane of the device from 300 µm to 230 µm improved the efficiency of light delivery to tissue by 80%, allowing lower µLED drive currents, which improved power management and thermal performance. The spatial selectivity of each site was also improved by integrating an optical interposer to reduce stray light emission. These improvements were achieved using an innovative fabrication method to create an anodically bonded glass/silicon substrate with through-silicon vias etched, forming an optical interposer. Optical modelling was used to demonstrate that the tip structure of the device had a major influence on the illumination pattern. The thermal performance was evaluated through a combination of modelling and experiment, in order to ensure that cortical tissue temperatures did not rise by more than 1°C. The device was tested in vivo in the visual cortex of macaque expressing ChR2-tdTomato in cortical neurons. It was shown that the strongest optogenetic response occurred in the region surrounding the needle tips, and that the extent of the optogenetic response matched the predicted illumination profile based on optical modelling - demonstrating the improved spatial selectivity resulting from the optical interposer approach. Furthermore, different needle illumination sites generated different patterns of low-frequency potential (LFP) activity.
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8
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Xiong H, Wilson BA, Ge X, Gao X, Cai Q, Xu X, Bachoo R, Qin Z. Glioblastoma Margin as a Diffusion Barrier Revealed by Photoactivation of Plasmonic Nanovesicles. NANO LETTERS 2024; 24:1570-1578. [PMID: 38287297 DOI: 10.1021/acs.nanolett.3c04101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/31/2024]
Abstract
Glioblastoma (GBM) is the most complex and lethal primary brain cancer. Adequate drug diffusion and penetration are essential for treating GBM, but how the spatial heterogeneity in GBM impacts drug diffusion and transport is poorly understood. Herein, we report a new method, photoactivation of plasmonic nanovesicles (PANO), to measure molecular diffusion in the extracellular space of GBM. By examining three genetically engineered GBM mouse models that recapitulate key clinical features including the angiogenic core and diffuse infiltration, we found that the tumor margin has the lowest diffusion coefficient (highest tortuosity) compared with the tumor core and surrounding brain tissue. Analysis of the cellular composition shows that tortuosity in the GBM is strongly correlated with neuronal loss and astrocyte activation. Our all-optical measurement reveals the heterogeneous GBM microenvironment and highlights the tumor margin as a diffusion barrier for drug transport in the brain, with implications for therapeutic delivery.
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Affiliation(s)
- Hejian Xiong
- Key Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangdong Province Key Laboratory of Psychiatric Disorders, Department of Neurobiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510000, China
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, Texas 75080, United States
| | - Blake A Wilson
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, Texas 75080, United States
| | - Xiaoqian Ge
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, Texas 75080, United States
- Department of Biomedical Engineering, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Xiaofei Gao
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Qi Cai
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, Texas 75080, United States
- Department of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States
| | - Xueqi Xu
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, Texas 75080, United States
| | - Robert Bachoo
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Zhenpeng Qin
- Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, Texas 75080, United States
- Department of Biomedical Engineering, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
- Department of Bioengineering, The University of Texas at Dallas, Richardson, Texas 75080, United States
- Center for Advanced Pain Studies, The University of Texas at Dallas, Richardson, Texas 75080, United States
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9
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Jiang S, Wu X, Yang F, Rommelfanger NJ, Hong G. Activation of mechanoluminescent nanotransducers by focused ultrasound enables light delivery to deep-seated tissue in vivo. Nat Protoc 2023; 18:3787-3820. [PMID: 37914782 PMCID: PMC11405139 DOI: 10.1038/s41596-023-00895-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 07/27/2023] [Indexed: 11/03/2023]
Abstract
Light is used extensively in biological and medical research for optogenetic neuromodulation, fluorescence imaging, photoactivatable gene editing and light-based therapies. The major challenge to the in vivo implementation of light-based methods in deep-seated structures of the brain or of internal organs is the limited penetration of photons in biological tissue. The presence of light scattering and absorption has resulted in the development of invasive techniques such as the implantation of optical fibers, the insertion of endoscopes and the surgical removal of overlying tissues to overcome light attenuation and deliver it deep into the body. However, these procedures are highly invasive and make it difficult to reposition and adjust the illuminated area in each animal. Here, we detail a noninvasive approach to deliver light (termed 'deLight') in deep tissue via systemically injected mechanoluminescent nanotransducers that can be gated by using focused ultrasound. This approach achieves localized light emission with sub-millimeter resolution and millisecond response times in any vascularized organ of living mice without requiring invasive implantation of light-emitting devices. For example, deLight enables optogenetic neuromodulation in live mice without a craniotomy or brain implants. deLight provides a generalized method for applications that require a light source in deep tissues in vivo, such as deep-brain fluorescence imaging and photoactivatable genome editing. The implementation of the entire protocol for an in vivo application takes ~1-2 weeks.
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Affiliation(s)
- Shan Jiang
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Xiang Wu
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Fan Yang
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Nicholas J Rommelfanger
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
| | - Guosong Hong
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
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10
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Ren H, Cheng Y, Wen G, Wang J, Zhou M. Emerging optogenetics technologies in biomedical applications. SMART MEDICINE 2023; 2:e20230026. [PMID: 39188295 PMCID: PMC11235740 DOI: 10.1002/smmd.20230026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 09/17/2023] [Indexed: 08/28/2024]
Abstract
Optogenetics is a cutting-edge technology that merges light control and genetics to achieve targeted control of tissue cells. Compared to traditional methods, optogenetics offers several advantages in terms of time and space precision, accuracy, and reduced damage to the research object. Currently, optogenetics is primarily used in pathway research, drug screening, gene expression regulation, and the stimulation of molecule release to treat various diseases. The selection of light-sensitive proteins is the most crucial aspect of optogenetic technology; structural changes occur or downstream channels are activated to achieve signal transmission or factor release, allowing efficient and controllable disease treatment. In this review, we examine the extensive research conducted in the field of biomedicine concerning optogenetics, including the selection of light-sensitive proteins, the study of carriers and delivery devices, and the application of disease treatment. Additionally, we offer critical insights and future implications of optogenetics in the realm of clinical medicine.
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Affiliation(s)
- Haozhen Ren
- Department of Hepatobiliary SurgeryHepatobiliary InstituteNanjing Drum Tower HospitalMedical SchoolNanjing UniversityNanjingChina
| | - Yi Cheng
- Department of Vascular SurgeryThe Affiliated Drum Tower Hospital of Nanjing University Medical SchoolNanjingChina
| | - Gaolin Wen
- Department of Hepatobiliary SurgeryHepatobiliary InstituteNanjing Drum Tower HospitalMedical SchoolNanjing UniversityNanjingChina
| | - Jinglin Wang
- Department of Hepatobiliary SurgeryHepatobiliary InstituteNanjing Drum Tower HospitalMedical SchoolNanjing UniversityNanjingChina
| | - Min Zhou
- Department of Vascular SurgeryThe Affiliated Drum Tower Hospital of Nanjing University Medical SchoolNanjingChina
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11
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Cui H, Zhao S, Hong G. Wireless deep-brain neuromodulation using photovoltaics in the second near-infrared spectrum. DEVICE 2023; 1:100113. [PMID: 37990694 PMCID: PMC10659575 DOI: 10.1016/j.device.2023.100113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
Conventional electrical neuromodulation techniques are constrained by the need for invasive implants in neural tissues, whereas methods using optogenetic are subjected to genetic alterations and hampered by the poor tissue penetration of visible light. Photovoltaic neuromodulation using light from the second near-infrared (NIR-II) spectrum, which minimizes scattering and enhances tissue penetration, shows promise as an alternative to existing neuromodulation technologies. NIR-II light has been used in deep-tissue imaging and in deep-brain photothermal neuromodulation via nanotransducers. This Perspective will provide an overview for the underpinning mechanisms of photovoltaic neuromodulation and identify avenues for future research in materials science and bioengineering that can further advance NIR-II photovoltaic neuromodulation methods.
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Affiliation(s)
- Han Cui
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA
| | - Su Zhao
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA
| | - Guosong Hong
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA
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12
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Li J, Wu C, Zeng M, Zhang Y, Wei D, Sun J, Fan H. Functional material-mediated wireless physical stimulation for neuro-modulation and regeneration. J Mater Chem B 2023; 11:9056-9083. [PMID: 37649427 DOI: 10.1039/d3tb01354e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Nerve injuries and neurological diseases remain intractable clinical challenges. Despite the advantages of stem cell therapy in treating neurological disorders, uncontrollable cell fates and loss of cell function in vivo are still challenging. Recently, increasing attention has been given to the roles of external physical signals, such as electricity and ultrasound, in regulating stem cell fate as well as activating or inhibiting neuronal activity, which provides new insights for the treatment of neurological disorders. However, direct physical stimulations in vivo are short in accuracy and safety. Functional materials that can absorb energy from a specific physical field exerted in a wireless way and then release another localized physical signal hold great advantages in mediating noninvasive or minimally invasive accurate indirect physical stimulations to promote the therapeutic effect on neurological disorders. In this review, the mechanism by which various physical signals regulate stem cell fate and neuronal activity is summarized. Based on these concepts, the approaches of using functional materials to mediate indirect wireless physical stimulation for neuro-modulation and regeneration are systematically reviewed. We expect that this review will contribute to developing wireless platforms for neural stimulation as an assistance for the treatment of neurological diseases and injuries.
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Affiliation(s)
- Jialu Li
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, Chengdu 610064, Sichuan, China.
| | - Chengheng Wu
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, Chengdu 610064, Sichuan, China.
- Institute of Regulatory Science for Medical Devices, Sichuan University, Chengdu 610065, Sichuan, China
| | - Mingze Zeng
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, Chengdu 610064, Sichuan, China.
| | - Yusheng Zhang
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, Chengdu 610064, Sichuan, China.
| | - Dan Wei
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, Chengdu 610064, Sichuan, China.
| | - Jing Sun
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, Chengdu 610064, Sichuan, China.
| | - Hongsong Fan
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, Chengdu 610064, Sichuan, China.
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13
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Xu S, Momin M, Ahmed S, Hossain A, Veeramuthu L, Pandiyan A, Kuo CC, Zhou T. Illuminating the Brain: Advances and Perspectives in Optoelectronics for Neural Activity Monitoring and Modulation. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2303267. [PMID: 37726261 DOI: 10.1002/adma.202303267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/30/2023] [Indexed: 09/21/2023]
Abstract
Optogenetic modulation of brain neural activity that combines optical and electrical modes in a unitary neural system has recently gained robust momentum. Controlling illumination spatial coverage, designing light-activated modulators, and developing wireless light delivery and data transmission are crucial for maximizing the use of optical neuromodulation. To this end, biocompatible electrodes with enhanced optoelectrical performance, device integration for multiplexed addressing, wireless transmission, and multimodal operation in soft systems have been developed. This review provides an outlook for uniformly illuminating large brain areas while spatiotemporally imaging the neural responses upon optoelectrical stimulation with little artifacts. Representative concepts and important breakthroughs, such as head-mounted illumination, multiple implanted optical fibers, and micro-light-delivery devices, are discussed. Examples of techniques that incorporate electrophysiological monitoring and optoelectrical stimulation are presented. Challenges and perspectives are posed for further research efforts toward high-density optoelectrical neural interface modulation, with the potential for nonpharmacological neurological disease treatments and wireless optoelectrical stimulation.
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Affiliation(s)
- Shumao Xu
- Department of Engineering Science and Mechanics, Center for Neural Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
| | - Marzia Momin
- Department of Engineering Science and Mechanics, Center for Neural Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
| | - Salahuddin Ahmed
- Department of Engineering Science and Mechanics, Center for Neural Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
| | - Arafat Hossain
- Department of Electrical Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
| | - Loganathan Veeramuthu
- Department of Molecular Science and Engineering, National Taipei University of Technology, Taipei, 10608, Republic of China
| | - Archana Pandiyan
- Department of Molecular Science and Engineering, National Taipei University of Technology, Taipei, 10608, Republic of China
| | - Chi-Ching Kuo
- Department of Molecular Science and Engineering, National Taipei University of Technology, Taipei, 10608, Republic of China
| | - Tao Zhou
- Department of Engineering Science and Mechanics, Center for Neural Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
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14
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Almasri RM, Ladouceur F, Mawad D, Esrafilzadeh D, Firth J, Lehmann T, Poole-Warren LA, Lovell NH, Al Abed A. Emerging trends in the development of flexible optrode arrays for electrophysiology. APL Bioeng 2023; 7:031503. [PMID: 37692375 PMCID: PMC10491464 DOI: 10.1063/5.0153753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 08/08/2023] [Indexed: 09/12/2023] Open
Abstract
Optical-electrode (optrode) arrays use light to modulate excitable biological tissues and/or transduce bioelectrical signals into the optical domain. Light offers several advantages over electrical wiring, including the ability to encode multiple data channels within a single beam. This approach is at the forefront of innovation aimed at increasing spatial resolution and channel count in multichannel electrophysiology systems. This review presents an overview of devices and material systems that utilize light for electrophysiology recording and stimulation. The work focuses on the current and emerging methods and their applications, and provides a detailed discussion of the design and fabrication of flexible arrayed devices. Optrode arrays feature components non-existent in conventional multi-electrode arrays, such as waveguides, optical circuitry, light-emitting diodes, and optoelectronic and light-sensitive functional materials, packaged in planar, penetrating, or endoscopic forms. Often these are combined with dielectric and conductive structures and, less frequently, with multi-functional sensors. While creating flexible optrode arrays is feasible and necessary to minimize tissue-device mechanical mismatch, key factors must be considered for regulatory approval and clinical use. These include the biocompatibility of optical and photonic components. Additionally, material selection should match the operating wavelength of the specific electrophysiology application, minimizing light scattering and optical losses under physiologically induced stresses and strains. Flexible and soft variants of traditionally rigid photonic circuitry for passive optical multiplexing should be developed to advance the field. We evaluate fabrication techniques against these requirements. We foresee a future whereby established telecommunications techniques are engineered into flexible optrode arrays to enable unprecedented large-scale high-resolution electrophysiology systems.
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Affiliation(s)
- Reem M. Almasri
- Graduate School of Biomedical Engineering, UNSW, Sydney, NSW 2052, Australia
| | | | - Damia Mawad
- School of Materials Science and Engineering, UNSW, Sydney, NSW 2052, Australia
| | - Dorna Esrafilzadeh
- Graduate School of Biomedical Engineering, UNSW, Sydney, NSW 2052, Australia
| | - Josiah Firth
- Australian National Fabrication Facility, UNSW, Sydney, NSW 2052, Australia
| | - Torsten Lehmann
- School of Electrical Engineering and Telecommunications, UNSW, Sydney, NSW 2052, Australia
| | | | | | - Amr Al Abed
- Graduate School of Biomedical Engineering, UNSW, Sydney, NSW 2052, Australia
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15
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Meneghetti M, Kaur J, Sui K, Sørensen JF, Berg RW, Markos C. Soft monolithic infrared neural interface for simultaneous neurostimulation and electrophysiology. LIGHT, SCIENCE & APPLICATIONS 2023; 12:127. [PMID: 37225682 DOI: 10.1038/s41377-023-01164-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 04/14/2023] [Accepted: 04/17/2023] [Indexed: 05/26/2023]
Abstract
Controlling neuronal activity using implantable neural interfaces constitutes an important tool to understand and develop novel strategies against brain diseases. Infrared neurostimulation is a promising alternative to optogenetics for controlling the neuronal circuitry with high spatial resolution. However, bi-directional interfaces capable of simultaneously delivering infrared light and recording electrical signals from the brain with minimal inflammation have not yet been reported. Here, we have developed a soft fibre-based device using high-performance polymers which are >100-fold softer than conventional silica glass used in standard optical fibres. The developed implant is capable of stimulating the brain activity in localized cortical domains by delivering laser pulses in the 2 μm spectral region while recording electrophysiological signals. Action and local field potentials were recorded in vivo from the motor cortex and hippocampus in acute and chronic settings, respectively. Immunohistochemical analysis of the brain tissue indicated insignificant inflammatory response to the infrared pulses while the signal-to-noise ratio of recordings still remained high. Our neural interface constitutes a step forward in expanding infrared neurostimulation as a versatile approach for fundamental research and clinically translatable therapies.
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Affiliation(s)
- Marcello Meneghetti
- DTU Electro, Department of Electrical and Photonics Engineering, Technical University of Denmark, DK-2800 Kgs, Lyngby, Denmark.
- Department of Neuroscience, University of Copenhagen, Blegdamsvej 3B, DK-2200 Kbh N, Copenhagen, Denmark.
| | - Jaspreet Kaur
- Department of Neuroscience, University of Copenhagen, Blegdamsvej 3B, DK-2200 Kbh N, Copenhagen, Denmark
| | - Kunyang Sui
- DTU Electro, Department of Electrical and Photonics Engineering, Technical University of Denmark, DK-2800 Kgs, Lyngby, Denmark
- Department of Neuroscience, University of Copenhagen, Blegdamsvej 3B, DK-2200 Kbh N, Copenhagen, Denmark
| | - Jakob F Sørensen
- Department of Neuroscience, University of Copenhagen, Blegdamsvej 3B, DK-2200 Kbh N, Copenhagen, Denmark
| | - Rune W Berg
- Department of Neuroscience, University of Copenhagen, Blegdamsvej 3B, DK-2200 Kbh N, Copenhagen, Denmark
| | - Christos Markos
- DTU Electro, Department of Electrical and Photonics Engineering, Technical University of Denmark, DK-2800 Kgs, Lyngby, Denmark.
- NORBLIS ApS, Virumgade 35D, DK-2830, Virum, Denmark.
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Wu X, Yang F, Cai S, Pu K, Hong G. Nanotransducer-Enabled Deep-Brain Neuromodulation with NIR-II Light. ACS NANO 2023; 17:7941-7952. [PMID: 37079455 DOI: 10.1021/acsnano.2c12068] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
The second near-infrared window (NIR-II window), which ranges from 1000 to 1700 nm in wavelength, exhibits distinctive advantages of reduced light scattering and thus deep penetration in biological tissues in comparison to the visible spectrum. The NIR-II window has been widely employed for deep-tissue fluorescence imaging in the past decade. More recently, deep-brain neuromodulation has been demonstrated in the NIR-II window by leveraging nanotransducers that can efficiently convert brain-penetrant NIR-II light into heat. In this Perspective, we discuss the principles and potential applications of this NIR-II deep-brain neuromodulation technique, together with its advantages and limitations compared with other existing optical methods for deep-brain neuromodulation. We also point out a few future directions where the advances in materials science and bioengineering can expand the capability and utility of NIR-II neuromodulation methods.
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Affiliation(s)
- Xiang Wu
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California 94305, USA
| | - Fan Yang
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California 94305, USA
| | - Sa Cai
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California 94305, USA
| | - Kanyi Pu
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore
| | - Guosong Hong
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California 94305, USA
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17
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Wu X, Hong G. Protocol for wireless deep brain stimulation in freely behaving mice with infrared light. STAR Protoc 2023; 4:101757. [PMID: 36538396 PMCID: PMC9793315 DOI: 10.1016/j.xpro.2022.101757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 08/22/2022] [Accepted: 09/16/2022] [Indexed: 12/24/2022] Open
Abstract
Here, we present a protocol for deep brain stimulation in freely behaving mice using through-scalp wide-field illumination in the second near-infrared window (NIR-II). We first describe the injection of the TRPV1 (transient receptor potential cation channel subfamily V member 1)-expressing viruses and macromolecular infrared nanotransducers for deep brain stimulation (MINDS). We then detail NIR-II neuromodulation in a conditioned place preference test, followed by immunohistochemical studies. This approach is especially useful for tether-free deep brain stimulation in social interacting experiments involving multiple subjects. For complete details on the use and execution of this protocol, please refer to Wu et al. (2022).
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Affiliation(s)
- Xiang Wu
- Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neuroscience Institute, Stanford University, Stanford, CA 94305, USA
| | - Guosong Hong
- Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neuroscience Institute, Stanford University, Stanford, CA 94305, USA.
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18
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Yang F, Kim SJ, Wu X, Cui H, Hahn SK, Hong G. Principles and applications of sono-optogenetics. Adv Drug Deliv Rev 2023; 194:114711. [PMID: 36708773 PMCID: PMC9992299 DOI: 10.1016/j.addr.2023.114711] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 01/08/2023] [Accepted: 01/22/2023] [Indexed: 01/26/2023]
Abstract
Optogenetics has revolutionized neuroscience research through its spatiotemporally precise activation of specific neurons by illuminating light on opsin-expressing neurons. A long-standing challenge of in vivo optogenetics arises from the limited penetration depth of visible light in the neural tissue due to scattering and absorption of photons. To address this challenge, sono-optogenetics has been developed to enable spatiotemporally precise light production in a three-dimensional volume of neural tissue by leveraging the deep tissue penetration and focusing ability of ultrasound as well as circulation-delivered mechanoluminescent nanotransducers. Here, we present a comprehensive review of the sono-optogenetics method from the physical principles of ultrasound and mechanoluminescence to its emerging applications for unique neuroscience studies. We also discuss a few promising directions in which sono-optogenetics can make a lasting transformative impact on neuroscience research from the perspectives of mechanoluminescent materials, ultrasound-tissue interaction, to the unique neuroscience opportunities of "scanning optogenetics".
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Affiliation(s)
- Fan Yang
- Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
| | - Seong-Jong Kim
- Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 37673, Republic of Korea
| | - Xiang Wu
- Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
| | - Han Cui
- Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
| | - Sei Kwang Hahn
- Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 37673, Republic of Korea
| | - Guosong Hong
- Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.
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19
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Wang Y, Garg R, Cohen-Karni D, Cohen-Karni T. Neural modulation with photothermally active nanomaterials. NATURE REVIEWS BIOENGINEERING 2023; 1:193-207. [PMID: 39221032 PMCID: PMC11364367 DOI: 10.1038/s44222-023-00022-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/02/2023] [Indexed: 09/04/2024]
Abstract
Modulating neural electrophysiology with high precision is essential for understanding neural communication and for the diagnosis and treatment of neural disorders. Photothermal modulation offers a remote and non-genetic method for neural modulation with high spatiotemporal resolution and specificity. This technique induces highly localized and transient temperature changes at the cell membrane interfaced with photothermally active nanomaterials. This rapid temperature change affects the electrical properties of the cell membrane or temperature-sensitive ion channels. In this Review, we discuss the fundamental material properties and illumination conditions that are necessary for nanomaterial-assisted photothermal neural excitation and inhibition. We examine how this versatile technique allows direct investigation of neural electrophysiology and signalling pathways in two-dimensional and three-dimensional cell cultures and tissues, and highlight the scientific and technological challenges in terms of cellular specificity, light delivery and biointerface stability on the road to clinical translation.
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Affiliation(s)
- Yingqiao Wang
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
- These authors contributed equally: Yingqiao Wang, Raghav Garg
| | - Raghav Garg
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
- These authors contributed equally: Yingqiao Wang, Raghav Garg
| | - Devora Cohen-Karni
- Preclinical education biochemistry, Lake Erie College of Osteopathic Medicine at Seton Hill, Greensburg, PA, USA
| | - Tzahi Cohen-Karni
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
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20
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Zhou Q, Fu X, Xu J, Dong S, Liu C, Cheng D, Gao C, Huang M, Liu Z, Ni X, Hua R, Tu H, Sun H, Shen Q, Chen B, Zhang J, Zhang L, Yang H, Hu J, Yang W, Pei W, Yao Q, Sheng X, Zhang J, Yang WZ, Shen WL. Hypothalamic warm-sensitive neurons require TRPC4 channel for detecting internal warmth and regulating body temperature in mice. Neuron 2023; 111:387-404.e8. [PMID: 36476978 DOI: 10.1016/j.neuron.2022.11.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 06/28/2022] [Accepted: 11/07/2022] [Indexed: 12/12/2022]
Abstract
Precise monitoring of internal temperature is vital for thermal homeostasis in mammals. For decades, warm-sensitive neurons (WSNs) within the preoptic area (POA) were thought to sense internal warmth, using this information as feedback to regulate body temperature (Tcore). However, the cellular and molecular mechanisms by which WSNs measure temperature remain largely undefined. Via a pilot genetic screen, we found that silencing the TRPC4 channel in mice substantially attenuated hypothermia induced by light-mediated heating of the POA. Loss-of-function studies of TRPC4 confirmed its role in warm sensing in GABAergic WSNs, causing additional defects in basal temperature setting, warm defense, and fever responses. Furthermore, TRPC4 antagonists and agonists bidirectionally regulated Tcore. Thus, our data indicate that TRPC4 is essential for sensing internal warmth and that TRPC4-expressing GABAergic WSNs function as a novel cellular sensor for preventing Tcore from exceeding set-point temperatures. TRPC4 may represent a potential therapeutic target for managing Tcore.
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Affiliation(s)
- Qian Zhou
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Fu
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianhui Xu
- Thermoregulation and Inflammation Laboratory, Chengdu Medical College, Chengdu, Sichuan 610500, China
| | - Shiming Dong
- University of Chinese Academy of Sciences, Beijing 100049, China; Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (CAS), Shanghai 200031, China
| | - Changhao Liu
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China
| | - Dali Cheng
- Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
| | - Cuicui Gao
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Minhua Huang
- Department of Biophysics, NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Zhiduo Liu
- University of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
| | - Xinyan Ni
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China
| | - Rong Hua
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai 200433, China
| | - Hongqing Tu
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China
| | - Hongbin Sun
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China
| | - Qiwei Shen
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai 200433, China
| | - Baoting Chen
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jin Zhang
- School of Basic Medical Sciences, Nanchang University, Nanchang 330031, China
| | - Liye Zhang
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China
| | - Haitao Yang
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China
| | - Ji Hu
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China
| | - Wei Yang
- Department of Biophysics, NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Weihua Pei
- State Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
| | - Qiyuan Yao
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai 200433, China
| | - Xing Sheng
- Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
| | - Jie Zhang
- Thermoregulation and Inflammation Laboratory, Chengdu Medical College, Chengdu, Sichuan 610500, China.
| | - Wen Z Yang
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China.
| | - Wei L Shen
- School of Life Science and Technology, Shanghai Clinical Research and Trial Center, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China.
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21
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Chen X, Xu Y, Lou K, Peng Y, Zhou C, Zhang HP, Wang W. Programmable, Spatiotemporal Control of Colloidal Motion Waves via Structured Light. ACS NANO 2022; 16:12755-12766. [PMID: 35857820 DOI: 10.1021/acsnano.2c04596] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Traveling waves in a reaction-diffusion system are essential for long-range communication in living organisms and inspire biomimetic materials of similar capabilities. One recent example is the traveling motion waves among photochemically oscillating, silver (Ag)-containing colloids. Being able to manipulate these colloidal waves holds the key for potential applications. Here, we have discovered that these motion waves can be confined by light patterns and that the chemical clocks of silver particles are moved forward by reducing local light intensity. Using these discoveries as design principles, we have applied structured light technology for the precise and programmable control of colloidal motion waves, including their origins, propagation directions, paths, shapes, annihilation, frequency, and speeds. We have also used the controlled propagation of colloidal waves to guide chemical messages along a predefined path to activate a population of micromotors located far from the signal. Our demonstrated capabilities in manipulating colloidal waves in space and time offer physical insights on their operation and expand their usefulness in the fundamental study of reaction-diffusion processes. Moreover, our findings inspire biomimetic strategies for the directional transport of mass, energy, and information at micro- or even nanoscales.
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Affiliation(s)
- Xi Chen
- Sauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
| | - Yankai Xu
- School of Physics and Astronomy and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Kai Lou
- Guangzhou Kayja-Optics Technology Co., Ltd., Guangzhou 511458, China
| | - Yixin Peng
- Sauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
| | - Chao Zhou
- Sauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - H P Zhang
- School of Physics and Astronomy and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Wei Wang
- Sauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
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