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Ranke D, Lee I, Gershanok SA, Jo S, Trotto E, Wang Y, Balakrishnan G, Cohen-Karni T. Multifunctional Nanomaterials for Advancing Neural Interfaces: Recording, Stimulation, and Beyond. Acc Chem Res 2024; 57:1803-1814. [PMID: 38859612 DOI: 10.1021/acs.accounts.4c00138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024]
Abstract
ConspectusNeurotechnology has seen dramatic improvements in the last three decades. The major focus in the field has been to design electrical communication platforms with high spatial resolution, stability, and translatability for understanding and affecting neural pathways. The deployment of nanomaterials in bioelectronics has enhanced the capabilities of conventional approaches employing microelectrode arrays (MEAs) for electrical interfaces, allowing the construction of miniaturized, high-performance neuroelectronics (Garg, R.; et al. ACS Appl. Nano Mater. 2023, 6, 8495). While these advancements in the electrical neuronal interface have revolutionized neurotechnology both in scale and breadth, an in-depth understanding of neurons' interactions is challenging due to the complexity of the environments where the cells and tissues are laid. The activity of large, three-dimensional neuronal systems has proven difficult to accurately monitor and modulate, and chemical cell-cell communication is often completely neglected. Recent breakthroughs in nanotechnology have provided opportunities to use new nonelectric modes of communication with neurons and to significantly enhance electrical signal interface capabilities. The enhanced electrochemical activity and optical activity of nanomaterials owing to their nonbulk electronic properties and surface nanostructuring have seen extensive utilization. Nanomaterials' enhanced optical activity enables remote neural state modulation, whereas the defect-rich surfaces provide an enormous number of available electrocatalytic sites for neurochemical detection and electrochemical modulation of cell microenvironments through Faradaic processes. Such unique properties can allow multimodal neural interrogation toward generating closed-loop interfaces with access to more complete neural state descriptors. In this Account, we will review recent advances and our efforts spearheaded toward utilizing nanostructured electrodes for enhanced bidirectional interfaces with neurons, the application of unique hybrid nanomaterials for remote nongenetic optical stimulation of neurons, tunable nanomaterials for highly sensitive and selective neurotransmitter detection, and the utilization of nanomaterials as electrocatalysts toward electrochemically modulating cellular activity. We highlight applications of these technologies across cell types through nanomaterial engineering with a focus on multifunctional graphene nanostructures applied though several modes of neural modulation but also an exploration of broad material classes for maximizing the potency of closed-loop bioelectronics.
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Affiliation(s)
- Daniel Ranke
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States of America
| | - Inkyu Lee
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States of America
| | - Samuel A Gershanok
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States of America
| | - Seonghan Jo
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States of America
| | - Emily Trotto
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States of America
| | - Yingqiao Wang
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States of America
| | - Gaurav Balakrishnan
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States of America
| | - Tzahi Cohen-Karni
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States of America
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States of America
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2
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Zheng J, Fang J, Xu D, Liu H, Wei X, Qin C, Xue J, Gao Z, Hu N. Micronano Synergetic Three-Dimensional Bioelectronics: A Revolutionary Breakthrough Platform for Cardiac Electrophysiology. ACS NANO 2024; 18:15332-15357. [PMID: 38837178 DOI: 10.1021/acsnano.4c00052] [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: 06/06/2024]
Abstract
Cardiovascular diseases (CVDs) are the leading cause of mortality and therefore pose a significant threat to human health. Cardiac electrophysiology plays a crucial role in the investigation and treatment of CVDs, including arrhythmia. The long-term and accurate detection of electrophysiological activity in cardiomyocytes is essential for advancing cardiology and pharmacology. Regarding the electrophysiological study of cardiac cells, many micronano bioelectric devices and systems have been developed. Such bioelectronic devices possess unique geometric structures of electrodes that enhance quality of electrophysiological signal recording. Though planar multielectrode/multitransistors are widely used for simultaneous multichannel measurement of cell electrophysiological signals, their use for extracellular electrophysiological recording exhibits low signal strength and quality. However, the integration of three-dimensional (3D) multielectrode/multitransistor arrays that use advanced penetration strategies can achieve high-quality intracellular signal recording. This review provides an overview of the manufacturing, geometric structure, and penetration paradigms of 3D micronano devices, as well as their applications for precise drug screening and biomimetic disease modeling. Furthermore, this review also summarizes the current challenges and outlines future directions for the preparation and application of micronano bioelectronic devices, with an aim to promote the development of intracellular electrophysiological platforms and thereby meet the demands of emerging clinical applications.
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Affiliation(s)
- Jilin Zheng
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China
| | - Jiaru Fang
- School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Dongxin Xu
- School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Haitao Liu
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310052, China
| | - Xinwei Wei
- Key Laboratory of Advanced Drug Delivery Systems of Zhejiang Province, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Chunlian Qin
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310052, China
| | - Jiajin Xue
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310052, China
| | - Zhigang Gao
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310052, China
| | - Ning Hu
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310052, China
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3
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Wang C, Gu C, Popp C, Vashisth P, Mustfa SA, Martella DA, Spiteri C, McLennan S, Sun N, Riddle M, Eide CR, Parsons M, Tolar J, McGrath JA, Chiappini C. Integrating Porous Silicon Nanoneedles within Medical Devices for Nucleic Acid Nanoinjection. ACS NANO 2024; 18:14938-14953. [PMID: 38726598 PMCID: PMC11171749 DOI: 10.1021/acsnano.4c00206] [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: 01/05/2024] [Revised: 04/26/2024] [Accepted: 05/03/2024] [Indexed: 06/12/2024]
Abstract
Porous silicon nanoneedles can interface with cells and tissues with minimal perturbation for high-throughput intracellular delivery and biosensing. Typically, nanoneedle devices are rigid, flat, and opaque, which limits their use for topical applications in the clinic. We have developed a robust, rapid, and precise substrate transfer approach to incorporate nanoneedles within diverse substrates of arbitrary composition, flexibility, curvature, transparency, and biodegradability. With this approach, we integrated nanoneedles on medically relevant elastomers, hydrogels, plastics, medical bandages, catheter tubes, and contact lenses. The integration retains the mechanical properties and transfection efficiency of the nanoneedles. Transparent devices enable the live monitoring of cell-nanoneedle interactions. Flexible devices interface with tissues for efficient, uniform, and sustained topical delivery of nucleic acids ex vivo and in vivo. The versatility of this approach highlights the opportunity to integrate nanoneedles within existing medical devices to develop advanced platforms for topical delivery and biosensing.
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Affiliation(s)
- Cong Wang
- Centre
for Craniofacial and Regenerative Biology, King’s College London, SE1 9RT London, U.K.
- London
Centre for Nanotechnology, King’s
College London, WC2R 2LS London, U.K.
| | - Chenlei Gu
- Centre
for Craniofacial and Regenerative Biology, King’s College London, SE1 9RT London, U.K.
- London
Centre for Nanotechnology, King’s
College London, WC2R 2LS London, U.K.
| | - Courtney Popp
- Department
of Pediatrics, Medical School, University
of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Priya Vashisth
- Centre
for Craniofacial and Regenerative Biology, King’s College London, SE1 9RT London, U.K.
| | - Salman Ahmad Mustfa
- Centre
for Craniofacial and Regenerative Biology, King’s College London, SE1 9RT London, U.K.
| | - Davide Alessandro Martella
- Centre
for Craniofacial and Regenerative Biology, King’s College London, SE1 9RT London, U.K.
- London
Centre for Nanotechnology, King’s
College London, WC2R 2LS London, U.K.
| | - Chantelle Spiteri
- Centre
for Craniofacial and Regenerative Biology, King’s College London, SE1 9RT London, U.K.
| | - Samuel McLennan
- Centre
for Craniofacial and Regenerative Biology, King’s College London, SE1 9RT London, U.K.
| | - Ningjia Sun
- Centre
for Craniofacial and Regenerative Biology, King’s College London, SE1 9RT London, U.K.
| | - Megan Riddle
- Department
of Pediatrics, Medical School, University
of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Cindy R. Eide
- Department
of Pediatrics, Medical School, University
of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Maddy Parsons
- Randall
Centre for Cell and Molecular Biophysics, King’s College London, SE1 1UL London, U.K.
| | - Jakub Tolar
- Department
of Pediatrics, Medical School, University
of Minnesota, Minneapolis, Minnesota 55455, United States
- Stem
Cell Institute, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - John A. McGrath
- St
John’s
Institute of Dermatology, King’s
College London, SE1 7EP London, U.K.
| | - Ciro Chiappini
- Centre
for Craniofacial and Regenerative Biology, King’s College London, SE1 9RT London, U.K.
- London
Centre for Nanotechnology, King’s
College London, WC2R 2LS London, U.K.
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4
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Shigapova RR, Mukhamedshina YO. Electrophysiology Methods for Assessing of Neurodegenerative and Post-Traumatic Processes as Applied to Translational Research. Life (Basel) 2024; 14:737. [PMID: 38929721 PMCID: PMC11205106 DOI: 10.3390/life14060737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 05/30/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024] Open
Abstract
Electrophysiological studies have long established themselves as reliable methods for assessing the functional state of the brain and spinal cord, the degree of neurodegeneration, and evaluating the effectiveness of therapy. In addition, they can be used to diagnose, predict functional outcomes, and test the effectiveness of therapeutic and rehabilitation programs not only in clinical settings, but also at the preclinical level. Considering the urgent need to develop potential stimulators of neuroregeneration, it seems relevant to obtain objective data when modeling neurological diseases in animals. Thus, in the context of the application of electrophysiological methods, not only the comparison of the basic characteristics of bioelectrical activity of the brain and spinal cord in humans and animals, but also their changes against the background of neurodegenerative and post-traumatic processes are of particular importance. In light of the above, this review will contribute to a better understanding of the results of electrophysiological assessment in neurodegenerative and post-traumatic processes as well as the possibility of translating these methods from model animals to humans.
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Affiliation(s)
- Rezeda Ramilovna Shigapova
- Institute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan 420008, Russia;
| | - Yana Olegovna Mukhamedshina
- Institute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan 420008, Russia;
- Department of Histology, Cytology and Embryology, Kazan State Medical University, Kazan 420012, Russia
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5
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Boschi A, Iachetta G, Buonocore S, Hubarevich A, Hurtaud J, Moreddu R, Marta d’Amora, Formoso MB, Tantussi F, Dipalo M, De Angelis F. Interferometric Biosensor for High Sensitive Label-Free Recording of HiPS Cardiomyocytes Contraction in Vitro. NANO LETTERS 2024; 24:6451-6458. [PMID: 38776267 PMCID: PMC11157657 DOI: 10.1021/acs.nanolett.3c04291] [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: 11/08/2023] [Revised: 03/26/2024] [Accepted: 03/29/2024] [Indexed: 05/24/2024]
Abstract
Heart disease remains a leading cause of global mortality, underscoring the need for advanced technologies to study cardiovascular diseases and develop effective treatments. We introduce an innovative interferometric biosensor for high-sensitivity and label-free recording of human induced pluripotent stem cell (hiPSC) cardiomyocyte contraction in vitro. Using an optical cavity, our device captures interference patterns caused by the contraction-induced displacement of a thin flexible membrane. First, we demonstrate the capability to quantify spontaneous contractions and discriminate between contraction and relaxation phases. We calculate a contraction-induced vertical membrane displacement close to 40 nm, which implies a traction stress of 34 ± 4 mN/mm2. Finally, we investigate the effects of a drug compound on contractility amplitude, revealing a significant reduction in contractile forces. The label-free and high-throughput nature of our biosensor may enhance drug screening processes and drug development for cardiac treatments. Our interferometric biosensor offers a novel approach for noninvasive and real-time assessment of cardiomyocyte contraction.
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Affiliation(s)
- Alessio Boschi
- Plasmon
Nanotechnologies Unit, Istituto Italiano di Tecnologia, 16163 Genoa, Italy
- Department
of Bioengineering, University of Genoa, 16126 Genoa, Italy
| | - Giuseppina Iachetta
- Plasmon
Nanotechnologies Unit, Istituto Italiano di Tecnologia, 16163 Genoa, Italy
| | - Salvatore Buonocore
- Plasmon
Nanotechnologies Unit, Istituto Italiano di Tecnologia, 16163 Genoa, Italy
| | | | - Julien Hurtaud
- Plasmon
Nanotechnologies Unit, Istituto Italiano di Tecnologia, 16163 Genoa, Italy
| | - Rosalia Moreddu
- Plasmon
Nanotechnologies Unit, Istituto Italiano di Tecnologia, 16163 Genoa, Italy
| | - Marta d’Amora
- Plasmon
Nanotechnologies Unit, Istituto Italiano di Tecnologia, 16163 Genoa, Italy
- Department
of Biology, University of Pisa, 56127 Pisa, Italy
| | - Maria Blanco Formoso
- Plasmon
Nanotechnologies Unit, Istituto Italiano di Tecnologia, 16163 Genoa, Italy
- Center
for Research in Nanomaterials and Biomedicine, University of Vigo, 36310 Vigo, Spain
| | - Francesco Tantussi
- Plasmon
Nanotechnologies Unit, Istituto Italiano di Tecnologia, 16163 Genoa, Italy
| | - Michele Dipalo
- Plasmon
Nanotechnologies Unit, Istituto Italiano di Tecnologia, 16163 Genoa, Italy
| | - Francesco De Angelis
- Plasmon
Nanotechnologies Unit, Istituto Italiano di Tecnologia, 16163 Genoa, Italy
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6
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Ribeiro M, Andreis FR, Jabban L, Nielsen TGNDS, Smirnov SV, Lutteroth C, Proulx MJ, Rocha PRF, Metcalfe B. Ex-vivo systems for neuromodulation: A comparison of ex-vivo and in-vivo large animal nerve electrophysiology. J Neurosci Methods 2024; 406:110116. [PMID: 38548122 DOI: 10.1016/j.jneumeth.2024.110116] [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: 11/06/2023] [Revised: 03/05/2024] [Accepted: 03/21/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Little research exists on extending ex-vivo systems to large animal nerves, and to the best of our knowledge, there has yet to be a study comparing these against in-vivo data. This paper details the first ex-vivo system for large animal peripheral nerves to be compared with in-vivo results. NEW METHOD Detailed ex-vivo and in-vivo closed-loop neuromodulation experiments were conducted on pig ulnar nerves. Temperatures from 20 °C to 37 °C were evaluated for the ex-vivo system. The data were analysed in the time and velocity domains, and a regression analysis established how evoked compound action potential amplitude and modal conduction velocity (CV) varied with temperature and time after explantation. MAIN RESULTS Pig ulnar nerves were sustained ex-vivo up to 5 h post-explantation. CV distributions of ex-vivo and in-vivo data were compared, showing closer correspondence at 37 °C. Regression analysis results also demonstrated that modal CV and time since explantation were negatively correlated, whereas modal CV and temperature were positively correlated. COMPARISON WITH EXISTING METHODS Previous ex-vivo systems were primarily aimed at small animal nerves, and we are not aware of an ex-vivo system to be directly compared with in-vivo data. This new approach provides a route to understand how ex-vivo systems for large animal nerves can be developed and compared with in-vivo data. CONCLUSION The proposed ex-vivo system results were compared with those seen in-vivo, providing new insights into large animal nerve activity post-explantation. Such a system is crucial for complementing in-vivo experiments, maximising collected experimental data, and accelerating neural interface development.
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Affiliation(s)
- Mafalda Ribeiro
- Centre for Accountable, Responsible, and Transparent AI (ART-AI), Department of Computer Science, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom; Department of Electronic & Electrical Engineering, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom.
| | - Felipe R Andreis
- Centre for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Aalborg University, Selma Lagerløfs Vej 249, 9260, Gistrup, Denmark
| | - Leen Jabban
- Department of Electronic & Electrical Engineering, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom
| | - Thomas G N dS Nielsen
- Centre for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Aalborg University, Selma Lagerløfs Vej 249, 9260, Gistrup, Denmark
| | - Sergey V Smirnov
- Department of Life Sciences, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom
| | - Christof Lutteroth
- Centre for Accountable, Responsible, and Transparent AI (ART-AI), Department of Computer Science, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom; Department of Computer Science, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom
| | - Michael J Proulx
- Centre for Accountable, Responsible, and Transparent AI (ART-AI), Department of Computer Science, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom; Department of Psychology, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom
| | - Paulo R F Rocha
- Centre for Functional Ecology - Science for People & the Planet (CFE), TERRA Associate Laboratory, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456, Coimbra, Portugal
| | - Benjamin Metcalfe
- Centre for Accountable, Responsible, and Transparent AI (ART-AI), Department of Computer Science, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom; The Bath Institute for the Augmented Human, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom.
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7
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Wu Y, Cheng J, Qi J, Hang C, Dong R, Low BC, Yu H, Jiang X. Three-dimensional liquid metal-based neuro-interfaces for human hippocampal organoids. Nat Commun 2024; 15:4047. [PMID: 38744873 PMCID: PMC11094048 DOI: 10.1038/s41467-024-48452-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 05/01/2024] [Indexed: 05/16/2024] Open
Abstract
Human hippocampal organoids (hHOs) derived from human induced pluripotent stem cells (hiPSCs) have emerged as promising models for investigating neurodegenerative disorders, such as schizophrenia and Alzheimer's disease. However, obtaining the electrical information of these free-floating organoids in a noninvasive manner remains a challenge using commercial multi-electrode arrays (MEAs). The three-dimensional (3D) MEAs developed recently acquired only a few neural signals due to limited channel numbers. Here, we report a hippocampal cyborg organoid (cyb-organoid) platform coupling a liquid metal-polymer conductor (MPC)-based mesh neuro-interface with hHOs. The mesh MPC (mMPC) integrates 128-channel multielectrode arrays distributed on a small surface area (~2*2 mm). Stretchability (up to 500%) and flexibility of the mMPC enable its attachment to hHOs. Furthermore, we show that under Wnt3a and SHH activator induction, hHOs produce HOPX+ and PAX6+ progenitors and ZBTB20+PROX1+ dentate gyrus (DG) granule neurons. The transcriptomic signatures of hHOs reveal high similarity to the developing human hippocampus. We successfully detect neural activities from hHOs via the mMPC from this cyb-organoid. Compared with traditional planar devices, our non-invasive coupling offers an adaptor for recording neural signals from 3D models.
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Affiliation(s)
- Yan Wu
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
- Mechanobiology Institute, National University of Singapore, Singapore, Singapore
| | - Jinhao Cheng
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Jie Qi
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Chen Hang
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Ruihua Dong
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Boon Chuan Low
- Mechanobiology Institute, National University of Singapore, Singapore, Singapore
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Hanry Yu
- Mechanobiology Institute, National University of Singapore, Singapore, Singapore
- Department of Physiology, National University of Singapore, Singapore, Singapore
| | - Xingyu Jiang
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China.
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8
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Spitz S, Schobesberger S, Brandauer K, Ertl P. Sensor-integrated brain-on-a-chip platforms: Improving the predictive validity in neurodegenerative research. Bioeng Transl Med 2024; 9:e10604. [PMID: 38818126 PMCID: PMC11135156 DOI: 10.1002/btm2.10604] [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: 07/05/2023] [Revised: 08/31/2023] [Accepted: 09/12/2023] [Indexed: 06/01/2024] Open
Abstract
Affecting millions of individuals worldwide, neurodegenerative diseases (NDDs) pose a significant and growing health concern in people over the age of 60 years. Contributing to this trend are the steady increase in the aging population coupled with a persistent lack of disease-altering treatment strategies targeting NDDs. The absence of efficient therapeutics can be attributed to high failure rates in clinical trials and the ineptness of animal models in preceding preclinical studies. To that end, in recent years, significant research effort has been dedicated to the development of human cell-based preclinical disease models characterized by a higher degree of predictive validity. However, a key requirement of any in vitro model constitutes the precise knowledge and replication of the target tissues' (patho-)physiological microenvironment. Herein, microphysiological systems have demonstrated superiority over conventional static 2D/3D in vitro cell culture systems, as they allow for the emulation and continuous monitoring of the onset, progression, and remission of disease-associated phenotypes. This review provides an overview of recent advances in the field of NDD research using organ-on-a-chip platforms. Specific focus is directed toward non-invasive sensing strategies encompassing electrical, electrochemical, and optical sensors. Additionally, promising on- and integrable off-chip sensing strategies targeting key analytes in NDDs will be presented and discussed in detail.
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Affiliation(s)
- Sarah Spitz
- Faculty of Technical ChemistryVienna University of TechnologyViennaAustria
- Present address:
Department of Mechanical Engineering and Biological EngineeringMassachusetts Institute of TechnologyCambridgeMassachusettsUSA
| | | | | | - Peter Ertl
- Faculty of Technical ChemistryVienna University of TechnologyViennaAustria
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9
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Li X, Zhu H, Gu B, Yao C, Gu Y, Xu W, Zhang J, He J, Liu X, Li D. Advancing Intelligent Organ-on-a-Chip Systems with Comprehensive In Situ Bioanalysis. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2305268. [PMID: 37688520 DOI: 10.1002/adma.202305268] [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: 06/02/2023] [Revised: 08/03/2023] [Indexed: 09/11/2023]
Abstract
In vitro models are essential to a broad range of biomedical research, such as pathological studies, drug development, and personalized medicine. As a potentially transformative paradigm for 3D in vitro models, organ-on-a-chip (OOC) technology has been extensively developed to recapitulate sophisticated architectures and dynamic microenvironments of human organs by applying the principles of life sciences and leveraging micro- and nanoscale engineering capabilities. A pivotal function of OOC devices is to support multifaceted and timely characterization of cultured cells and their microenvironments. However, in-depth analysis of OOC models typically requires biomedical assay procedures that are labor-intensive and interruptive. Herein, the latest advances toward intelligent OOC (iOOC) systems, where sensors integrated with OOC devices continuously report cellular and microenvironmental information for comprehensive in situ bioanalysis, are examined. It is proposed that the multimodal data in iOOC systems can support closed-loop control of the in vitro models and offer holistic biomedical insights for diverse applications. Essential techniques for establishing iOOC systems are surveyed, encompassing in situ sensing, data processing, and dynamic modulation. Eventually, the future development of iOOC systems featuring cross-disciplinary strategies is discussed.
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Affiliation(s)
- Xiao Li
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Hui Zhu
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Bingsong Gu
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Cong Yao
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Yuyang Gu
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Wangkai Xu
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jia Zhang
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jiankang He
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Xinyu Liu
- Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, M5S 3G8, Canada
| | - Dichen Li
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- NMPA Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi'an, 710049, China
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10
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Gao H, Wang Z, Yang F, Wang X, Wang S, Zhang Q, Liu X, Sun Y, Kong J, Yao J. Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues. Nat Commun 2024; 15:2321. [PMID: 38485708 PMCID: PMC10940632 DOI: 10.1038/s41467-024-46636-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 03/05/2024] [Indexed: 03/18/2024] Open
Abstract
Cardiac microtissues provide a promising platform for disease modeling and developmental studies, which require the close monitoring of the multimodal excitation-contraction dynamics. However, no existing assessing tool can track these multimodal dynamics across the live tissue. We develop a tissue-like mesh bioelectronic system to track these multimodal dynamics. The mesh system has tissue-level softness and cell-level dimensions to enable stable embedment in the tissue. It is integrated with an array of graphene sensors, which uniquely converges both bioelectrical and biomechanical sensing functionalities in one device. The system achieves stable tracking of the excitation-contraction dynamics across the tissue and throughout the developmental process, offering comprehensive assessments for tissue maturation, drug effects, and disease modeling. It holds the promise to provide more accurate quantification of the functional, developmental, and pathophysiological states in cardiac tissues, creating an instrumental tool for improving tissue engineering and studies.
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Affiliation(s)
- Hongyan Gao
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA
| | - Zhien Wang
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Feiyu Yang
- Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA, 01003, USA
| | - Xiaoyu Wang
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA
| | - Siqi Wang
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA
| | - Quan Zhang
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA
| | - Xiaomeng Liu
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA
| | - Yubing Sun
- Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA, 01003, USA
- Institute for Applied Life Sciences, University of Massachusetts, Amherst, MA, 01003, USA
- Department of Biomedical Engineering, University of Massachusetts, Amherst, MA, 01003, USA
| | - Jing Kong
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Jun Yao
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
- Institute for Applied Life Sciences, University of Massachusetts, Amherst, MA, 01003, USA.
- Department of Biomedical Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
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11
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Mateus JC, Sousa MM, Burrone J, Aguiar P. Beyond a Transmission Cable-New Technologies to Reveal the Richness in Axonal Electrophysiology. J Neurosci 2024; 44:e1446232023. [PMID: 38479812 PMCID: PMC10941245 DOI: 10.1523/jneurosci.1446-23.2023] [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: 08/07/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 03/17/2024] Open
Abstract
The axon is a neuronal structure capable of processing, encoding, and transmitting information. This assessment contrasts with a limiting, but deeply rooted, perspective where the axon functions solely as a transmission cable of somatodendritic activity, sending signals in the form of stereotypical action potentials. This perspective arose, at least partially, because of the technical difficulties in probing axons: their extreme length-to-diameter ratio and intricate growth paths preclude the study of their dynamics through traditional techniques. Recent findings are challenging this view and revealing a much larger repertoire of axonal computations. Axons display complex signaling processes and structure-function relationships, which can be modulated via diverse activity-dependent mechanisms. Additionally, axons can exhibit patterns of activity that are dramatically different from those of their corresponding soma. Not surprisingly, many of these recent discoveries have been driven by novel technology developments, which allow for in vitro axon electrophysiology with unprecedented spatiotemporal resolution and signal-to-noise ratio. In this review, we outline the state-of-the-art in vitro toolset for axonal electrophysiology and summarize the recent discoveries in axon function it has enabled. We also review the increasing repertoire of microtechnologies for controlling axon guidance which, in combination with the available cutting-edge electrophysiology and imaging approaches, have the potential for more controlled and high-throughput in vitro studies. We anticipate that a larger adoption of these new technologies by the neuroscience community will drive a new era of experimental opportunities in the study of axon physiology and consequently, neuronal function.
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Affiliation(s)
- J C Mateus
- i3S- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
| | - M M Sousa
- i3S- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
| | - J Burrone
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE1 1UL, United Kingdom
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE1 1UL, United Kingdom
| | - P Aguiar
- i3S- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
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12
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Hiranuma M, Okuda Y, Fujii Y, Richard JP, Watanabe T. Characterization of human iPSC-derived sensory neurons and their functional assessment using multi electrode array. Sci Rep 2024; 14:6011. [PMID: 38472288 DOI: 10.1038/s41598-024-55602-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 02/26/2024] [Indexed: 03/14/2024] Open
Abstract
Sensory neurons are afferent neurons in sensory systems that convert stimuli and transmit information to the central nervous system as electrical signals. Primary afferent neurons that are affected by non-noxious and noxious stimuli are present in the dorsal root ganglia (DRG), and the DRG sensory neurons are used as an in vitro model of the nociceptive response. However, DRG derived from mouse or rat give a low yield of neurons, and they are difficult to culture. To help alleviate this problem, we characterized human induced pluripotent stem cell (hiPSC) derived sensory neurons. They can solve the problems of interspecies differences and supply stability. We investigated expressions of sensory neuron related proteins and genes, and drug responses by Multi-Electrode Array (MEA) to analyze the properties and functions of sensory neurons. They expressed nociceptor, mechanoreceptor and proprioceptor related genes and proteins. They constitute a heterogeneous population of their subclasses. We confirmed that they could respond to both noxious and non-noxious stimuli. We showed that histamine inhibitors reduced histamine-induced neuronal excitability. Furthermore, incubation with a ProTx-II and Nav1.7 inhibitor reduced the spontaneous neural activity in hiPSC-derived sensory neurons. Their responsiveness was different from each drug. We have demonstrated that hiPSC-derived sensory neurons combined with MEA are good candidates for drug discovery studies where DRG in vitro modeling is necessary.
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13
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Wojtas MN, Diaz-González M, Stavtseva N, Shoam Y, Verma P, Buberman A, Izhak I, Geva A, Basch R, Ouro A, Perez-Benitez L, Levy U, Borcel E, Nuñez Á, Venero C, Rotem-Dai N, Veksler-Lublinsky I, Knafo S. Interplay between hippocampal TACR3 and systemic testosterone in regulating anxiety-associated synaptic plasticity. Mol Psychiatry 2024; 29:686-703. [PMID: 38135756 PMCID: PMC11153148 DOI: 10.1038/s41380-023-02361-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 11/17/2023] [Accepted: 12/01/2023] [Indexed: 12/24/2023]
Abstract
Tachykinin receptor 3 (TACR3) is a member of the tachykinin receptor family and falls within the rhodopsin subfamily. As a G protein-coupled receptor, it responds to neurokinin B (NKB), its high-affinity ligand. Dysfunctional TACR3 has been associated with pubertal failure and anxiety, yet the mechanisms underlying this remain unclear. Hence, we have investigated the relationship between TACR3 expression, anxiety, sex hormones, and synaptic plasticity in a rat model, which indicated that severe anxiety is linked to dampened TACR3 expression in the ventral hippocampus. TACR3 expression in female rats fluctuates during the estrous cycle, reflecting sensitivity to sex hormones. Indeed, in males, sexual development is associated with a substantial increase in hippocampal TACR3 expression, coinciding with elevated serum testosterone and a significant reduction in anxiety. TACR3 is predominantly expressed in the cell membrane, including the presynaptic compartment, and its modulation significantly influences synaptic activity. Inhibition of TACR3 activity provokes hyperactivation of CaMKII and enhanced AMPA receptor phosphorylation, associated with an increase in spine density. Using a multielectrode array, stronger cross-correlation of firing was evident among neurons following TACR3 inhibition, indicating enhanced connectivity. Deficient TACR3 activity in rats led to lower serum testosterone levels, as well as increased spine density and impaired long-term potentiation (LTP) in the dentate gyrus. Remarkably, aberrant expression of functional TACR3 in spines results in spine shrinkage and pruning, while expression of defective TACR3 increases spine density, size, and the magnitude of cross-correlation. The firing pattern in response to LTP induction was inadequate in neurons expressing defective TACR3, which could be rectified by treatment with testosterone. In conclusion, our study provides valuable insights into the intricate interplay between TACR3, sex hormones, anxiety, and synaptic plasticity. These findings highlight potential targets for therapeutic interventions to alleviate anxiety in individuals with TACR3 dysfunction and the implications of TACR3 in anxiety-related neural changes provide an avenue for future research in the field.
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Affiliation(s)
- Magdalena Natalia Wojtas
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Instituto Biofisika (UPV/EHU, CSIC), Departamento Biología Celular e Histología Facultad de Medicina y Enfermería, University of the Basque Country, Leioa, Spain
| | - Marta Diaz-González
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Nadezhda Stavtseva
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Yuval Shoam
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Poonam Verma
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Assaf Buberman
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Inbar Izhak
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Aria Geva
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Roi Basch
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Alberto Ouro
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- NeuroAging Group Laboratory (NEURAL), Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Centro de investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Lucia Perez-Benitez
- Instituto Biofisika (UPV/EHU, CSIC), Departamento Biología Celular e Histología Facultad de Medicina y Enfermería, University of the Basque Country, Leioa, Spain
| | - Uri Levy
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Erika Borcel
- Department of Psychobiology, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain
- Department of Clinical Neuroscience, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - Ángel Nuñez
- Departamento de Anatomía, Histología y Neurociencia, Facultad de Medicina, Universidad Autonoma de Madrid, Madrid, Spain
| | - Cesar Venero
- Department of Psychobiology, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain
| | - Noa Rotem-Dai
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Isana Veksler-Lublinsky
- Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Shira Knafo
- Department of Physiology and Cell Biology, The National Institute for Biotechnology in the Negev, and the School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
- Instituto Biofisika (UPV/EHU, CSIC), Departamento Biología Celular e Histología Facultad de Medicina y Enfermería, University of the Basque Country, Leioa, Spain.
- Ikerbasque, Basque Foundation for Science, Bilbao, 48013, Spain.
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14
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Xiang Y, Shi K, Li Y, Xue J, Tong Z, Li H, Li Z, Teng C, Fang J, Hu N. Active Micro-Nano-Collaborative Bioelectronic Device for Advanced Electrophysiological Recording. NANO-MICRO LETTERS 2024; 16:132. [PMID: 38411852 PMCID: PMC10899154 DOI: 10.1007/s40820-024-01336-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 12/28/2023] [Indexed: 02/28/2024]
Abstract
The development of precise and sensitive electrophysiological recording platforms holds the utmost importance for research in the fields of cardiology and neuroscience. In recent years, active micro/nano-bioelectronic devices have undergone significant advancements, thereby facilitating the study of electrophysiology. The distinctive configuration and exceptional functionality of these active micro-nano-collaborative bioelectronic devices offer the potential for the recording of high-fidelity action potential signals on a large scale. In this paper, we review three-dimensional active nano-transistors and planar active micro-transistors in terms of their applications in electro-excitable cells, focusing on the evaluation of the effects of active micro/nano-bioelectronic devices on electrophysiological signals. Looking forward to the possibilities, challenges, and wide prospects of active micro-nano-devices, we expect to advance their progress to satisfy the demands of theoretical investigations and medical implementations within the domains of cardiology and neuroscience research.
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Affiliation(s)
- Yuting Xiang
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 310058, People's Republic of China
- Department of Obstetrics and Gynecology, The Tenth Affiliated Hospital, Southern Medical University, Dongguan, 523059, People's Republic of China
- Dongguan Key Laboratory of Major Diseases in Obstetrics and Gynecology, Dongguan, 523059, People's Republic of China
| | - Keda Shi
- Department of Lung Transplantation and General Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China
| | - Ying Li
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China
| | - Jiajin Xue
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310052, People's Republic of China
| | - Zhicheng Tong
- Department of Orthopedics, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322005, People's Republic of China
| | - Huiming Li
- Department of Orthopedics, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322005, People's Republic of China
| | - Zhongjun Li
- Department of Obstetrics and Gynecology, The Tenth Affiliated Hospital, Southern Medical University, Dongguan, 523059, People's Republic of China.
- Dongguan Key Laboratory of Major Diseases in Obstetrics and Gynecology, Dongguan, 523059, People's Republic of China.
| | - Chong Teng
- Department of Orthopedics, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322005, People's Republic of China.
| | - Jiaru Fang
- School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, People's Republic of China.
| | - Ning Hu
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 310058, People's Republic of China.
- General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310052, People's Republic of China.
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15
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Smulders PSH, Heikamp K, Hermanides J, Hollmann MW, Ten Hoope W, Weber NC. Chemotherapy-induced peripheral neuropathy models constructed from human induced pluripotent stem cells and directly converted cells: a systematic review. Pain 2024:00006396-990000000-00530. [PMID: 38381959 DOI: 10.1097/j.pain.0000000000003193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 01/04/2024] [Indexed: 02/23/2024]
Abstract
ABSTRACT Developments in human cellular reprogramming now allow for the generation of human neurons for in vitro disease modelling. This technique has since been used for chemotherapy-induced peripheral neuropathy (CIPN) research, resulting in the description of numerous CIPN models constructed from human neurons. This systematic review provides a critical analysis of available models and their methodological considerations (ie, used cell type and source, CIPN induction strategy, and validation method) for prospective researchers aiming to incorporate human in vitro models of CIPN in their research. The search strategy was developed with assistance from a clinical librarian and conducted in MEDLINE (PubMed) and Embase (Ovid) on September 26, 2023. Twenty-six peer-reviewed experimental studies presenting original data about human reprogrammed nonmotor neuron cell culture systems and relevant market available chemotherapeutics drugs were included. Virtually, all recent reports modeled CIPN using nociceptive dorsal root ganglion neurons. Drugs known to cause the highest incidence of CIPN were most used. Furthermore, treatment effects were almost exclusively validated by the acute effects of chemotherapeutics on neurite dynamics and cytotoxicity parameters, enabling the extrapolation of the half-maximal inhibitory concentration for the 4 most used chemotherapeutics. Overall, substantial heterogeneity was observed in the way studies applied chemotherapy and reported their findings. We therefore propose 6 suggestions to improve the clinical relevance and appropriateness of human cellular reprogramming-derived CIPN models.
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Affiliation(s)
- Pascal S H Smulders
- Department of Anesthesiology, Amsterdam UMC location University of Amsterdam, Laboratory for Experimental Intensive Care and Anesthesiology (L.E.I.C.A.), Amsterdam, the Netherlands
| | - Kim Heikamp
- Department of Anesthesiology, Amsterdam UMC location University of Amsterdam, Laboratory for Experimental Intensive Care and Anesthesiology (L.E.I.C.A.), Amsterdam, the Netherlands
| | - Jeroen Hermanides
- Department of Anesthesiology, Amsterdam UMC location University of Amsterdam, Laboratory for Experimental Intensive Care and Anesthesiology (L.E.I.C.A.), Amsterdam, the Netherlands
| | - Markus W Hollmann
- Department of Anesthesiology, Amsterdam UMC location University of Amsterdam, Laboratory for Experimental Intensive Care and Anesthesiology (L.E.I.C.A.), Amsterdam, the Netherlands
| | - Werner Ten Hoope
- Department of Anesthesiology, Amsterdam UMC location University of Amsterdam, Laboratory for Experimental Intensive Care and Anesthesiology (L.E.I.C.A.), Amsterdam, the Netherlands
- Department of Anesthesiology, Rijnstate Hospital, Arnhem, the Netherlands
| | - Nina C Weber
- Department of Anesthesiology, Amsterdam UMC location University of Amsterdam, Laboratory for Experimental Intensive Care and Anesthesiology (L.E.I.C.A.), Amsterdam, the Netherlands
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16
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Han H, Qin C, Xu D, Kar S, Castro FA, Wang Z, Fang J, Zhao Y, Hu N. Elevating intracellular action potential recording in cardiomyocytes: A precision-enhanced and biosafe single-pulse electroporation system. Biosens Bioelectron 2024; 246:115860. [PMID: 38039735 DOI: 10.1016/j.bios.2023.115860] [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: 09/02/2023] [Revised: 11/06/2023] [Accepted: 11/16/2023] [Indexed: 12/03/2023]
Abstract
Action potentials play a pivotal role in diverse cardiovascular physiological mechanisms. A comprehensive understanding of these intricate mechanisms necessitates a high-fidelity intracellular electrophysiological investigative approach. The amalgamation of micro-/nano-electrode arrays and electroporation confers substantial advantages in terms of high-resolution intracellular recording capabilities. Nonetheless, electroporation systems typically lack precise control, and commonly employed electroporation modes, involving tailored sequences, may escalate cellular damage and perturbation of normal physiological functions due to the multiple or higher-intensity electrical pulses. In this study, we developed an innovative electrophysiological biosensing system customized to facilitate precise single-pulse electroporation. This advancement serves to achieve optimal and uninterrupted intracellular action potential recording within cardiomyocytes. The refinement of the single-pulse electroporation technique is realized through the integration of the electroporation and assessment biosensing system, thereby ensuring a consistent and reliable means of achieving stable intracellular access. Our investigation has unveiled that the optimized single-pulse electroporation technique not only maintains robust biosafety standards but also enables the continuous capture of intracellular electrophysiological signals across an expansive three-day period. The universality of this biosensing system, adaptable to various micro/nano devices, furnishes real-time analysis and feedback concerning electroporation efficacy, guaranteeing the sustained, secure, and high-fidelity acquisition of intracellular data, thereby propelling the field of cardiovascular electrophysiological research.
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Affiliation(s)
- Haote Han
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 310058, China
| | - Chunlian Qin
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 310058, China
| | - Dongxin Xu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Surajit Kar
- National Physical Laboratory, Teddington, Middlesex, TW11 0LW, UK; Advanced Technology Institute, University of Surrey, Guildford, Surrey, GU2 7XH, UK
| | - Fernando A Castro
- National Physical Laboratory, Teddington, Middlesex, TW11 0LW, UK; Advanced Technology Institute, University of Surrey, Guildford, Surrey, GU2 7XH, UK
| | - Zhen Wang
- Center for Laboratory Medicine, Allergy Center, Department of Transfusion Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, 310014, China; Precision Medicine Institute, Center for Laboratory Medicine, Allergy Center, Tiantai Branch of Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Taizhou, 317200, China.
| | - Jiaru Fang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China.
| | - Yunlong Zhao
- National Physical Laboratory, Teddington, Middlesex, TW11 0LW, UK; Dyson School of Design Engineering, Imperial College London, London, SW7 2BX, UK.
| | - Ning Hu
- Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 310058, China; General Surgery Department, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310052, China.
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17
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Zhang P, Zhu B, Du P, Travas-Sejdic J. Electrochemical and Electrical Biosensors for Wearable and Implantable Electronics Based on Conducting Polymers and Carbon-Based Materials. Chem Rev 2024; 124:722-767. [PMID: 38157565 DOI: 10.1021/acs.chemrev.3c00392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Bioelectronic devices are designed to translate biological information into electrical signals and vice versa, thereby bridging the gap between the living biological world and electronic systems. Among different types of bioelectronics devices, wearable and implantable biosensors are particularly important as they offer access to the physiological and biochemical activities of tissues and organs, which is significant in diagnosing and researching various medical conditions. Organic conducting and semiconducting materials, including conducting polymers (CPs) and graphene and carbon nanotubes (CNTs), are some of the most promising candidates for wearable and implantable biosensors. Their unique electrical, electrochemical, and mechanical properties bring new possibilities to bioelectronics that could not be realized by utilizing metals- or silicon-based analogues. The use of organic- and carbon-based conductors in the development of wearable and implantable biosensors has emerged as a rapidly growing research field, with remarkable progress being made in recent years. The use of such materials addresses the issue of mismatched properties between biological tissues and electronic devices, as well as the improvement in the accuracy and fidelity of the transferred information. In this review, we highlight the most recent advances in this field and provide insights into organic and carbon-based (semi)conducting materials' properties and relate these to their applications in wearable/implantable biosensors. We also provide a perspective on the promising potential and exciting future developments of wearable/implantable biosensors.
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Affiliation(s)
- Peikai Zhang
- Centre for Innovative Materials for Health, School of Chemical Sciences, The University of Auckland, Auckland 1010, New Zealand
- MacDiarmid Institute for Advanced Materials and Nanotechnology, Victoria University of Wellington, Wellington 6012, New Zealand
- Auckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand
| | - Bicheng Zhu
- Centre for Innovative Materials for Health, School of Chemical Sciences, The University of Auckland, Auckland 1010, New Zealand
- MacDiarmid Institute for Advanced Materials and Nanotechnology, Victoria University of Wellington, Wellington 6012, New Zealand
| | - Peng Du
- Auckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand
| | - Jadranka Travas-Sejdic
- Centre for Innovative Materials for Health, School of Chemical Sciences, The University of Auckland, Auckland 1010, New Zealand
- MacDiarmid Institute for Advanced Materials and Nanotechnology, Victoria University of Wellington, Wellington 6012, New Zealand
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18
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Gu B, Han K, Cao H, Huang X, Li X, Mao M, Zhu H, Cai H, Li D, He J. Heart-on-a-chip systems with tissue-specific functionalities for physiological, pathological, and pharmacological studies. Mater Today Bio 2024; 24:100914. [PMID: 38179431 PMCID: PMC10765251 DOI: 10.1016/j.mtbio.2023.100914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 12/08/2023] [Accepted: 12/12/2023] [Indexed: 01/06/2024] Open
Abstract
Recent advances in heart-on-a-chip systems hold great promise to facilitate cardiac physiological, pathological, and pharmacological studies. This review focuses on the development of heart-on-a-chip systems with tissue-specific functionalities. For one thing, the strategies for developing cardiac microtissues on heart-on-a-chip systems that closely mimic the structures and behaviors of the native heart are analyzed, including the imitation of cardiac structural and functional characteristics. For another, the development of techniques for real-time monitoring of biophysical and biochemical signals from cardiac microtissues on heart-on-a-chip systems is introduced, incorporating cardiac electrophysiological signals, contractile activity, and biomarkers. Furthermore, the applications of heart-on-a-chip systems in intelligent cardiac studies are discussed regarding physiological/pathological research and pharmacological assessment. Finally, the future development of heart-on-a-chip toward a higher level of systematization, integration, and maturation is proposed.
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Affiliation(s)
- Bingsong Gu
- State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Medical Products Administration (NMPA) Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Innovation Platform (Center) for Industry-Education Integration of Medical Technology, Xi'an Jiaotong University, China
| | - Kang Han
- State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Medical Products Administration (NMPA) Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Innovation Platform (Center) for Industry-Education Integration of Medical Technology, Xi'an Jiaotong University, China
| | - Hanbo Cao
- Shaanxi Provincial Institute for Food and Drug Control, Xi’ an, 710065, China
| | - Xinxin Huang
- State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Medical Products Administration (NMPA) Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Innovation Platform (Center) for Industry-Education Integration of Medical Technology, Xi'an Jiaotong University, China
| | - Xiao Li
- State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Medical Products Administration (NMPA) Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Innovation Platform (Center) for Industry-Education Integration of Medical Technology, Xi'an Jiaotong University, China
| | - Mao Mao
- State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Medical Products Administration (NMPA) Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Innovation Platform (Center) for Industry-Education Integration of Medical Technology, Xi'an Jiaotong University, China
| | - Hui Zhu
- State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Medical Products Administration (NMPA) Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Innovation Platform (Center) for Industry-Education Integration of Medical Technology, Xi'an Jiaotong University, China
| | - Hu Cai
- Shaanxi Provincial Institute for Food and Drug Control, Xi’ an, 710065, China
| | - Dichen Li
- State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Medical Products Administration (NMPA) Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Innovation Platform (Center) for Industry-Education Integration of Medical Technology, Xi'an Jiaotong University, China
| | - Jiankang He
- State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Medical Products Administration (NMPA) Key Laboratory for Research and Evaluation of Additive Manufacturing Medical Devices, Xi'an Jiaotong University, Xi’ an, 710049, China
- National Innovation Platform (Center) for Industry-Education Integration of Medical Technology, Xi'an Jiaotong University, China
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19
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Scherberich J, Stange-Marten A, Schöneich S, Merdan-Desik M, Nowotny M. Multielectrode array use in insect auditory neuroscience to unravel the spatio-temporal response pattern in the prothoracic ganglion of Mecopoda elongata. J Exp Biol 2024; 227:jeb245497. [PMID: 38197244 DOI: 10.1242/jeb.245497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 12/27/2023] [Indexed: 01/11/2024]
Abstract
Mechanoreceptors in hearing organs transduce sound-induced mechanical responses into neuronal signals, which are further processed and forwarded to the brain along a chain of neurons in the auditory pathway. Bushcrickets (katydids) have their ears in the front leg tibia, and the first synaptic integration of sound-induced neuronal signals takes place in the primary auditory neuropil of the prothoracic ganglion. By combining intracellular recordings of the receptor activity in the ear, extracellular multichannel array recordings on top of the prothoracic ganglion and hook electrode recordings at the neck connective, we mapped the timing of neuronal responses to tonal sound stimuli along the auditory pathway from the ears towards the brain. The use of the multielectrode array allows the observation of spatio-temporal patterns of neuronal responses within the prothoracic ganglion. By eliminating the sensory input from one ear, we investigated the impact of contralateral projecting interneurons in the prothoracic ganglion and added to previous research on the functional importance of contralateral inhibition for binaural processing. Furthermore, our data analysis demonstrates changes in the signal integration processes at the synaptic level indicated by a long-lasting increase in the local field potential amplitude. We hypothesize that this persistent increase of the local field potential amplitude is important for the processing of complex signals, such as the conspecific song.
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Affiliation(s)
- Jan Scherberich
- Animal Physiology Group, Institute of Zoology and Evolutionary Research, Friedrich-Schiller-University, 07743 Jena, Germany
| | - Annette Stange-Marten
- Animal Physiology Group, Institute of Zoology and Evolutionary Research, Friedrich-Schiller-University, 07743 Jena, Germany
| | - Stefan Schöneich
- Animal Physiology Group, Institute of Zoology and Evolutionary Research, Friedrich-Schiller-University, 07743 Jena, Germany
| | - Melisa Merdan-Desik
- Animal Physiology Group, Institute of Zoology and Evolutionary Research, Friedrich-Schiller-University, 07743 Jena, Germany
- Neurobiology and Biosensors Group, Institute of Cell Biology and Neuroscience, Goethe University, 60438 Frankfurt am Main, Germany
| | - Manuela Nowotny
- Animal Physiology Group, Institute of Zoology and Evolutionary Research, Friedrich-Schiller-University, 07743 Jena, Germany
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20
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Cho Y, Choi Y, Seong H. Nanoscale surface coatings and topographies for neural interfaces. Acta Biomater 2024; 175:55-75. [PMID: 38141934 DOI: 10.1016/j.actbio.2023.12.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/28/2023] [Accepted: 12/14/2023] [Indexed: 12/25/2023]
Abstract
With the lack of minimally invasive tools for probing neuronal systems across spatiotemporal scales, understanding the working mechanism of the nervous system and limited assessments available are imperative to prevent or treat neurological disorders. In particular, nanoengineered neural interfaces can provide a solution to this technological barrier. This review covers recent surface engineering approaches, including nanoscale surface coatings, and a range of topographies from the microscale to the nanoscale, primarily focusing on neural-interfaced biosystems. Specifically, the immobilization of bioactive molecules to fertilize the neural cell lineage, topographical engineering to induce mechanotransduction in neural cells, and enhanced cell-chip coupling using three-dimensional structured surfaces are highlighted. Advances in neural interface design will help us understand the nervous system, thereby achieving the effective treatments for neurological disorders. STATEMENT OF SIGNIFICANCE: • This review focuses on designing bioactive neural interface with a nanoscale chemical modification and topographical engineering at multiscale perspective. • Versatile nanoscale surface coatings and topographies for neural interface are summarized. • Recent advances in bioactive materials applicable for neural cell culture, electrophysiological sensing, and neural implants are reviewed.
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Affiliation(s)
- Younghak Cho
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Yunyoung Choi
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea; Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Hyejeong Seong
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea; Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology (UST), Seoul, Republic of Korea.
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21
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Gong S, Lu Y, Yin J, Levin A, Cheng W. Materials-Driven Soft Wearable Bioelectronics for Connected Healthcare. Chem Rev 2024; 124:455-553. [PMID: 38174868 DOI: 10.1021/acs.chemrev.3c00502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
In the era of Internet-of-things, many things can stay connected; however, biological systems, including those necessary for human health, remain unable to stay connected to the global Internet due to the lack of soft conformal biosensors. The fundamental challenge lies in the fact that electronics and biology are distinct and incompatible, as they are based on different materials via different functioning principles. In particular, the human body is soft and curvilinear, yet electronics are typically rigid and planar. Recent advances in materials and materials design have generated tremendous opportunities to design soft wearable bioelectronics, which may bridge the gap, enabling the ultimate dream of connected healthcare for anyone, anytime, and anywhere. We begin with a review of the historical development of healthcare, indicating the significant trend of connected healthcare. This is followed by the focal point of discussion about new materials and materials design, particularly low-dimensional nanomaterials. We summarize material types and their attributes for designing soft bioelectronic sensors; we also cover their synthesis and fabrication methods, including top-down, bottom-up, and their combined approaches. Next, we discuss the wearable energy challenges and progress made to date. In addition to front-end wearable devices, we also describe back-end machine learning algorithms, artificial intelligence, telecommunication, and software. Afterward, we describe the integration of soft wearable bioelectronic systems which have been applied in various testbeds in real-world settings, including laboratories that are preclinical and clinical environments. Finally, we narrate the remaining challenges and opportunities in conjunction with our perspectives.
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Affiliation(s)
- Shu Gong
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Yan Lu
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Jialiang Yin
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Arie Levin
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Wenlong Cheng
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
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22
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Gorecki J, Krause S. Numerical investigation of a graphene-on-semiconductor device for optical monitoring of cell electrophysiology. iScience 2024; 27:108554. [PMID: 38188511 PMCID: PMC10770480 DOI: 10.1016/j.isci.2023.108554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 09/19/2023] [Accepted: 11/20/2023] [Indexed: 01/09/2024] Open
Abstract
Spatially resolved sensing devices for electrostatic potentials are extremely useful for characterization of living cells, however, many current techniques lack the speed necessary to capture spatially resolved, functional information of cells in real-time. Here, an optical sensing technique is proposed based on graphene on a semiconductor stack operating in the near-infrared spectrum. By modeling coherent interference of multiply reflected beam paths within the semiconductor stack, we demonstrate how the device produces a continuous reflectivity change in response to graphene Fermi energy which is ideal for sensing changes in local electrostatic fields produced by action potentials of living cells. By coupling the device with a high-speed camera, we propose this platform will allow for high-speed imaging of action potentials over a large sensing area with micron scale resolution.
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Affiliation(s)
- Jon Gorecki
- Department of Bioengineering, Imperial College London, Exhibition Road, London SW7 2BX, UK
| | - Steffi Krause
- School of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS, UK
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23
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Patel D, Shetty S, Acha C, Pantoja IEM, Zhao A, George D, Gracias DH. Microinstrumentation for Brain Organoids. Adv Healthc Mater 2024:e2302456. [PMID: 38217546 DOI: 10.1002/adhm.202302456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 12/10/2023] [Indexed: 01/15/2024]
Abstract
Brain organoids are three-dimensional aggregates of self-organized differentiated stem cells that mimic the structure and function of human brain regions. Organoids bridge the gaps between conventional drug screening models such as planar mammalian cell culture, animal studies, and clinical trials. They can revolutionize the fields of developmental biology, neuroscience, toxicology, and computer engineering. Conventional microinstrumentation for conventional cellular engineering, such as planar microfluidic chips; microelectrode arrays (MEAs); and optical, magnetic, and acoustic techniques, has limitations when applied to three-dimensional (3D) organoids, primarily due to their limits with inherently two-dimensional geometry and interfacing. Hence, there is an urgent need to develop new instrumentation compatible with live cell culture techniques and with scalable 3D formats relevant to organoids. This review discusses conventional planar approaches and emerging 3D microinstrumentation necessary for advanced organoid-machine interfaces. Specifically, this article surveys recently developed microinstrumentation, including 3D printed and curved microfluidics, 3D and fast-scan optical techniques, buckling and self-folding MEAs, 3D interfaces for electrochemical measurements, and 3D spatially controllable magnetic and acoustic technologies relevant to two-way information transfer with brain organoids. This article highlights key challenges that must be addressed for robust organoid culture and reliable 3D spatiotemporal information transfer.
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Affiliation(s)
- Devan Patel
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Saniya Shetty
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Chris Acha
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Itzy E Morales Pantoja
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Alice Zhao
- Department of Biology, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Derosh George
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - David H Gracias
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Chemistry, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, 21218, USA
- Sidney Kimmel Comprehensive Cancer Center (SKCCC), Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Center for MicroPhysiological Systems (MPS), Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
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24
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Vėbraitė I, Bar-Haim C, David-Pur M, Hanein Y. Bi-directional electrical recording and stimulation of the intact retina with a screen-printed soft probe: a feasibility study. Front Neurosci 2024; 17:1288069. [PMID: 38264499 PMCID: PMC10804455 DOI: 10.3389/fnins.2023.1288069] [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: 09/03/2023] [Accepted: 12/14/2023] [Indexed: 01/25/2024] Open
Abstract
Introduction Electrophysiological investigations of intact neural circuits are challenged by the gentle and complex nature of neural tissues. Bi-directional electrophysiological interfacing with the retina, in its intact form, is particularly demanding and currently there is no feasible approach to achieve such investigations. Here we present a feasibility study of a novel soft multi-electrode array suitable for bi-directional electrophysiological study of the intact retina. Methods Screen-printed soft electrode arrays were developed and tested. The soft probes were designed to accommodate the curvature of the retina in the eye and offer an opportunity to study the retina in its intact form. Results For the first time, we show both electrical recording and stimulation capabilities from the intact retina. In particular, we demonstrate the ability to characterize retina responses to electrical stimulation and reveal stable, direct, and indirect responses compared with ex-vivo conditions. Discussion These results demonstrate the unique performances of the new probe while also suggesting that intact retinas retain better stability and robustness than ex-vivo retinas making them more suitable for characterizing retina responses to electrical stimulation.
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Affiliation(s)
- Ieva Vėbraitė
- School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Chen Bar-Haim
- School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Moshe David-Pur
- School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Yael Hanein
- School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
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25
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Kauth A, Mildner AK, Hegel L, Wegener J, Ingebrandt S. Development of Specialized Microelectrode Arrays with Local Electroporation Functionality. Ann Biomed Eng 2024; 52:12-21. [PMID: 37326946 PMCID: PMC10761456 DOI: 10.1007/s10439-023-03268-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 05/31/2023] [Indexed: 06/17/2023]
Abstract
When a cell or tissue is exposed to a pulsed electric field (100-1000 V/cm), the cellular membrane permeabilizes for biomolecules that cannot pass an intact cellular membrane. During this electropermeabilization (EP), plasmid deoxyribonucleic acid sequences encoding therapeutic or regulatory genes can enter the cell, which is called gene electrotransfer (GET). GET using micro-/nano technology provides higher spatial resolution and operates with lower voltage amplitudes compared to conventional bulk EP. Microelectrode arrays (MEAs), which are usually used for the recording and stimulation of neuronal signals, can be utilized for GET as well. In this study, we developed a specialized MEA for local EP of adherent cells. Our manufacturing process provides a most flexible electrode and substrate material selection. We used electrochemical impedance spectroscopy to characterize the impedance of the MEAs and the impact of an adherent cellular layer. We verified the local EP functionality of the MEAs by loading a fluorophore dye into human embryonic kidney 293T cells. Finally, we demonstrated a GET with a subsequent green fluorescent protein expression by the cells. Our experiments prove that a high spatial resolution of GET can be obtained using MEAs.
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Affiliation(s)
- Andrea Kauth
- Institute of Materials in Electrical Engineering 1, RWTH Aachen University, Sommerfeldstr. 18-24, 52074, Aachen, Germany
| | - Anne-Kathrin Mildner
- Institute of Analytical Chemistry, Universitaet Regensburg, Universitaetsstr. 31, 93053, Regensburg, Germany
| | - Lena Hegel
- Institute of Materials in Electrical Engineering 1, RWTH Aachen University, Sommerfeldstr. 18-24, 52074, Aachen, Germany
| | - Joachim Wegener
- Institute of Analytical Chemistry, Universitaet Regensburg, Universitaetsstr. 31, 93053, Regensburg, Germany
- Fraunhofer Research Institution for Microsystems and Solid State Technologies EMFT, Universitaetsstr. 31, 93053, Regensburg, Germany
| | - Sven Ingebrandt
- Institute of Materials in Electrical Engineering 1, RWTH Aachen University, Sommerfeldstr. 18-24, 52074, Aachen, Germany.
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26
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Zhou H, Shi T, Cai W, Wu D. All-in-one coupling of 3D hybridized nanocarbon microelectrode for portable monitoring of doxycycline hyclate. Talanta 2024; 266:124926. [PMID: 37478766 DOI: 10.1016/j.talanta.2023.124926] [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: 12/27/2022] [Revised: 06/29/2023] [Accepted: 07/06/2023] [Indexed: 07/23/2023]
Abstract
The simultaneous balance of electrode materials and electrode structures can energize the development of innovative electrochemical sensors. In this work, a 3D nanocarbon layer of hybrid heteroatoms and metal atoms (CN/Fe) with excellent electrical properties and abundant active sites was self-constructed on the surface of a quartz-based nanofiber by high-temperature pyrolysis. Further, the nanofiber tip was selected as the sensing region to develop an electrochemical sensing platform with high sensitivity, miniaturization, and portability. A common broad-spectrum antibiotic (Doxycycline hyclate, DOX) was used as a model to evaluate the designed miniaturized sensing platform, and the stability, reproducibility, and applicability of the microsensor were verified in a variety of real samples, including algal solution, milk, human serum, and cell culture media. The results show that the proposed sensing platform has a detection limit as low as 82 nM in aqueous environments. Furthermore, it is further shown that coupling the design of electrode materials and electrode structures facilitates the development of electrochemical sensors with more practical applications. This concept will open up new avenues for the development of electrochemical sensors that meet many application scenarios.
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Affiliation(s)
- Haifeng Zhou
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, 213164, PR China.
| | - Tingxuan Shi
- School of Resources and Environmental Engineering, Jiangsu University of Technology, Changzhou 213001, PR China
| | - Wenrong Cai
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, 213164, PR China
| | - Datong Wu
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, 213164, PR China
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27
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Bolonduro OA, Chen Z, Lai YR, Cote M, Rao AA, Liu H, Tzanakakis ES, Timko BP. An Integrated Optogenetic and Bioelectronic Platform for Regulating Cardiomyocyte Function. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.15.571704. [PMID: 38168441 PMCID: PMC10760153 DOI: 10.1101/2023.12.15.571704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
We report an integrated optogenetic and bioelectronic platform for stable and long-term modulation and monitoring of cardiomyocyte function in vitro. Optogenetic inputs were achieved through expression of a photoactivatable adenylyl cyclase (bPAC), that when activated by blue light caused a dose-dependent and time-limited increase in autonomous cardiomyocyte beat rate. Bioelectronic readouts were achieved through an integrated planar multi-electrode array (MEA) that provided real-time readouts of electrophysiological activity from 32 spatially-distinct locations. Irradiation at 27 μW/mm2 resulted in a ca. 14% increase in beat rate within 20-25 minutes, which remained stable for at least 2 hours. The beating rate could be cycled through repeated "on" and "off' states, and its magnitude was a monotonic function of irradiation intensity. Our integrated platform opens new avenues in bioelectronic medicine, including closed-loop feedback systems, with potential applications for cardiac regulation including arrhythmia diagnosis and intervention.
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Affiliation(s)
| | - Zijing Chen
- Department of Chemical and Biological Engineering, Tufts University
| | - Yan-Ru Lai
- Department of Biomedical Engineering, Tufts University
| | - Megan Cote
- Department of Biomedical Engineering, Tufts University
| | | | - Haitao Liu
- Department of Biomedical Engineering, Tufts University
- General Surgery Department, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
| | - Emmanuel S. Tzanakakis
- Department of Chemical and Biological Engineering, Tufts University
- Cell, Molecular and Developmental Biology, Graduate School of Biomedical Sciences, Tufts University
- Clinical and Translational Science Institute, Tufts Medical Center
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28
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Lu Z, Barberio C, Fernandez-Villegas A, Withers A, Wheeler A, Kallitsis K, Martinelli E, Savva A, Hess BM, Pappa AM, Schierle GSK, Owens RM. Microelectrode Arrays Measure Blocking of Voltage-Gated Calcium Ion Channels on Supported Lipid Bilayers Derived from Primary Neurons. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023:e2304301. [PMID: 38039435 DOI: 10.1002/advs.202304301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 10/05/2023] [Indexed: 12/03/2023]
Abstract
Drug studies targeting neuronal ion channels are crucial to understand neuronal function and develop therapies for neurological diseases. The traditional method to study neuronal ion-channel activities heavily relies on the whole-cell patch clamp as the industry standard. However, this technique is both technically challenging and labour-intensive, while involving the complexity of keeping cells alive with low throughput. Therefore, the shortcomings are limiting the efficiency of ion-channel-related neuroscience research and drug testing. Here, this work reports a new system of integrating neuron membranes with organic microelectrode arrays (OMEAs) for ion-channel-related drug studies. This work demonstrates that the supported lipid bilayers (SLBs) derived from both neuron-like (neuroblastoma) cells and primary neurons are integrated with OMEAs for the first time. The increased expression of voltage-gated calcium (CaV) ion channels on differentiated SH-SY5Y SLBs compared to non-differentiated ones is sensed electrically. Also, dose-response of the CaV ion-channel blocking effect on primary cortical neuronal SLBs from rats is monitored. The dose range causing ion channel blocking is comparable to literature. This system overcomes the major challenges from traditional methods (e.g., patch clamp) and showcases an easy-to-test, rapid, ultra-sensitive, cell-free, and high-throughput platform to monitor dose-dependent ion-channel blocking effects on native neuronal membranes.
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Affiliation(s)
- Zixuan Lu
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
| | - Chiara Barberio
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
| | - Ana Fernandez-Villegas
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
| | - Aimee Withers
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
| | - Alexandra Wheeler
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
| | - Konstantinos Kallitsis
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
| | - Eleonora Martinelli
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
| | - Achilleas Savva
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
| | - Becky M Hess
- Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA, 99 354, USA
| | - Anna-Maria Pappa
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, 127788, UAE
- Healthcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi, 127 788, UAE
| | - Gabriele S Kaminski Schierle
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
| | - Róisín M Owens
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
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29
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Zhang A, Zwang TJ, Lieber CM. Biochemically functionalized probes for cell-type-specific targeting and recording in the brain. SCIENCE ADVANCES 2023; 9:eadk1050. [PMID: 38019917 PMCID: PMC10686571 DOI: 10.1126/sciadv.adk1050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/30/2023] [Indexed: 12/01/2023]
Abstract
Selective targeting and modulation of distinct cell types and neuron subtypes is central to understanding complex neural circuitry and could enable electronic treatments that target specific circuits while minimizing off-target effects. However, current brain-implantable electronics have not yet achieved cell-type specificity. We address this challenge by functionalizing flexible mesh electronic probes, which elicit minimal immune response, with antibodies or peptides to target specific cell markers. Histology studies reveal selective association of targeted neurons, astrocytes, and microglia with functionalized probe surfaces without accumulating off-target cells. In vivo chronic electrophysiology further yields recordings consistent with selective targeting of these cell types. Last, probes functionalized to target dopamine receptor 2 expressing neurons show the potential for neuron-subtype-specific targeting and electrophysiology.
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Affiliation(s)
- Anqi Zhang
- Department of Chemical Engineering and Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Theodore J. Zwang
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02114, USA
| | - Charles M. Lieber
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
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Zanini G, Parodi G, Chiappalone M, Martinoia S. Investigating the reliability of the evoked response in human iPSCs-derived neuronal networks coupled to micro-electrode arrays. APL Bioeng 2023; 7:046121. [PMID: 38130601 PMCID: PMC10735322 DOI: 10.1063/5.0174227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/29/2023] [Indexed: 12/23/2023] Open
Abstract
In vitro models of neuronal networks have emerged as a potent instrument for gaining deeper insights into the intricate mechanisms governing the human brain. Notably, the integration of human-induced pluripotent stem cells (hiPSCs) with micro-electrode arrays offers a means to replicate and dissect both the structural and functional elements of the human brain within a controlled in vitro environment. Given that neuronal communication relies on the emission of electrical (and chemical) stimuli, the employment of electrical stimulation stands as a mean to comprehensively interrogate neuronal assemblies, to better understand their inherent electrophysiological dynamics. However, the establishment of standardized stimulation protocols for cultures derived from hiPSCs is still lacking, thereby hindering the precise delineation of efficacious parameters to elicit responses. To fill this gap, the primary objective of this study resides in delineating effective parameters for the electrical stimulation of hiPSCs-derived neuronal networks, encompassing the determination of voltage amplitude and stimulation frequency able to evoke reliable and stable responses. This study represents a stepping-stone in the exploration of efficacious stimulation parameters, thus broadening the electrophysiological activity profiling of neural networks sourced from human-induced pluripotent stem cells.
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Affiliation(s)
- Giorgia Zanini
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
| | - Giulia Parodi
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
| | | | - Sergio Martinoia
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
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Dalakoti M, Leow MKS, Khoo CM, Yang H, Ling LH, Muthiah M, Tan E, Lee J, Dan YY, Chew N, Seow WQ, Soong PL, Gan L, Gurung R, Ackers-Johnson M, Hou HW, Sachaphibulkij K, MacAry P, Low G, Ang C, Yeo TJ, Djohan AH, Li T, Yeung W, Soh R, Sia CH, Panday V, Loong SSE, Tan BYQ, Yeo LLL, Teo L, Chow P, Foo R. Platform for the interdisciplinary study of cardiovascular, metabolic and neurovascular diseases (PICMAN) protocol. Sci Rep 2023; 13:20521. [PMID: 37993612 PMCID: PMC10665389 DOI: 10.1038/s41598-023-47407-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 11/13/2023] [Indexed: 11/24/2023] Open
Abstract
Through extensive multisystem phenotyping, the central aim of Project PICMAN is to correlate metabolic flexibility to measures of cardiometabolic health, including myocardial diastolic dysfunction, coronary and cerebral atherosclerosis, body fat distribution and severity of non-alcoholic fatty liver disease. This cohort will form the basis of larger interventional trials targeting metabolic inflexibility in the prevention of cardiovascular disease. Participants aged 21-72 years with no prior manifest atherosclerotic cardiovascular disease (ASCVD) are being recruited from a preventive cardiology clinic and an existing cohort of non-alcoholic fatty liver disease (NAFLD) in an academic medical centre. A total of 120 patients will be recruited in the pilot phase of this study and followed up for 5 years. Those with 10-year ASCVD risk ≥ 5% as per the QRISK3 calculator are eligible. Those with established diabetes mellitus are excluded. Participants recruited undergo a detailed assessment of health behaviours and physical measurements. Participants also undergo a series of multimodality clinical phenotyping comprising cardiac tests, vascular assessments, metabolic tests, liver and neurovascular testing. Blood samples are also being collected and banked for plasma biomarkers, 'multi-omics analyses' and for generation of induced pluripotent stem cells (iPSC). Extensive evidence points to metabolic dysregulation as an early precursor of cardiovascular disease, particularly in Asia. We hypothesise that quantifiable metabolic inflexibility may be representative of an individual in his/her silent, but high-risk progression towards insulin resistance, diabetes and cardiovascular disease. The platform for interdisciplinary cardiovascular-metabolic-neurovascular diseases (PICMAN) is a pilot, prospective, multi-ethnic cohort study.
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Affiliation(s)
- Mayank Dalakoti
- Department of Cardiology, National University Heart Centre, Singapore, Singapore.
- Department of Medicine, Ng Teng Fong General Hospital, Singapore, Singapore.
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore.
| | - Melvin Khee Shing Leow
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Chin Meng Khoo
- Department of Medicine, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Hayang Yang
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Lieng Hsi Ling
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Mark Muthiah
- Department of Medicine, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Eunice Tan
- Department of Medicine, National University Health System, Singapore, Singapore
| | - Jonathan Lee
- Department of Medicine, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yock Young Dan
- Department of Medicine, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Nicholas Chew
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Wei Qiang Seow
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Poh Loong Soong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Louis Gan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Rijan Gurung
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Matthew Ackers-Johnson
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Han Wei Hou
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Karishma Sachaphibulkij
- Center for Life Sciences, National University of Singapore-Cambridge Cell Phenotyping Centre, Singapore, Singapore
| | - Paul MacAry
- Center for Life Sciences, National University of Singapore-Cambridge Cell Phenotyping Centre, Singapore, Singapore
| | - Gwen Low
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Christy Ang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Tee Joo Yeo
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Andie Hartanto Djohan
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- Department of Medicine, Ng Teng Fong General Hospital, Singapore, Singapore
| | - Tony Li
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Wesley Yeung
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Rodney Soh
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Ching Hui Sia
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Vinay Panday
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Shaun S E Loong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
| | - Benjamin Y Q Tan
- Department of Medicine, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Leonard L L Yeo
- Department of Medicine, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Lynette Teo
- Department of Radiology, National University Health System, Singapore, Singapore
| | - Pierce Chow
- Duke-NUS Medical School, Singapore, Singapore
| | - Roger Foo
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University of Singapore Cardiovascular Disease Translational Research Program, Singapore, Singapore
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Atanasova T, Savonlehto T, Kukko-Lukjanov TK, Kharybina Z, Chang WC, Lauri SE, Taira T. Progressive development of synchronous activity in the hippocampal neuronal network is modulated by GluK1 kainate receptors. Neuropharmacology 2023; 239:109671. [PMID: 37567438 DOI: 10.1016/j.neuropharm.2023.109671] [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: 04/30/2023] [Revised: 07/17/2023] [Accepted: 07/20/2023] [Indexed: 08/13/2023]
Abstract
Kainate receptors are potent modulators of circuit excitability and have been repeatedly implicated in pathophysiological synchronization of limbic networks. While the role of aberrant GluK2 subunit containing KARs in generation of epileptiform hypersynchronous activity is well described, the contribution of other KAR subtypes, including GluK1 subunit containing KARs remain less well understood. To investigate the contribution of GluK1 KARs in developmental and pathological synchronization of the hippocampal neural network, we used multielectrode array recordings on organotypic hippocampal slices that display first multi-unit activity and later spontaneous population discharges resembling ictal-like epileptiform activity (IEA). Chronic blockage of GluK1 activity using selective antagonist ACET or lentivirally delivered shRNA significantly delayed developmental synchronization of the hippocampal CA3 network and generation of IEA. GluK1 overexpression, on the other hand, had no significant effect on occurrence of IEA, but enhanced the size of the neuron population participating in the population discharges. Correlation analysis indicated that local knockdown of GluK1 locally in the CA3 neurons reduced their functional connectivity, while GluK1 overexpression increased the connectivity to both CA1 and DG. These data suggest that GluK1 KARs regulate functional connectivity between the excitatory neurons, possibly via morphological changes in glutamatergic circuit, affecting synchronization of neuronal populations. The significant effects of GluK1 manipulations on network activity call for further research on GluK1 KAR as potential targets for antiepileptic treatments, particularly during the early postnatal development when GluK1 KARs are strongly expressed in the limbic neural networks.
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Affiliation(s)
- Tsvetomira Atanasova
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Finland
| | - Tiina Savonlehto
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Finland
| | | | - Zoia Kharybina
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Finland
| | - Wei-Chih Chang
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Finland
| | - Sari E Lauri
- HiLife Neuroscience Center, University of Helsinki, Helsinki, Finland; Molecular and Integrative Biosciences Research Program, University of Helsinki, Helsinki, Finland.
| | - Tomi Taira
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Finland.
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Lv S, He E, Luo J, Liu Y, Liang W, Xu S, Zhang K, Yang Y, Wang M, Song Y, Wu Y, Cai X. Using Human-Induced Pluripotent Stem Cell Derived Neurons on Microelectrode Arrays to Model Neurological Disease: A Review. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2301828. [PMID: 37863819 PMCID: PMC10667858 DOI: 10.1002/advs.202301828] [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: 03/22/2023] [Revised: 09/04/2023] [Indexed: 10/22/2023]
Abstract
In situ physiological signals of in vitro neural disease models are essential for studying pathogenesis and drug screening. Currently, an increasing number of in vitro neural disease models are established using human-induced pluripotent stem cell (hiPSC) derived neurons (hiPSC-DNs) to overcome interspecific gene expression differences. Microelectrode arrays (MEAs) can be readily interfaced with two-dimensional (2D), and more recently, three-dimensional (3D) neural stem cell-derived in vitro models of the human brain to monitor their physiological activity in real time. Therefore, MEAs are emerging and useful tools to model neurological disorders and disease in vitro using human iPSCs. This is enabling a real-time window into neuronal signaling at the network scale from patient derived. This paper provides a comprehensive review of MEA's role in analyzing neural disease models established by hiPSC-DNs. It covers the significance of MEA fabrication, surface structure and modification schemes for hiPSC-DNs culturing and signal detection. Additionally, this review discusses advances in the development and use of MEA technology to study in vitro neural disease models, including epilepsy, autism spectrum developmental disorder (ASD), and others established using hiPSC-DNs. The paper also highlights the application of MEAs combined with hiPSC-DNs in detecting in vitro neurotoxic substances. Finally, the future development and outlook of multifunctional and integrated devices for in vitro medical diagnostics and treatment are discussed.
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Affiliation(s)
- Shiya Lv
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Enhui He
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
- The State Key Lab of Brain‐Machine IntelligenceZhejiang UniversityHangzhou321100China
| | - Jinping Luo
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Yaoyao Liu
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Wei Liang
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Shihong Xu
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Kui Zhang
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Yan Yang
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Mixia Wang
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Yilin Song
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Yirong Wu
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Xinxia Cai
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
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34
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Bartlett M, He M, Ranke D, Wang Y, Cohen-Karni T. A snapshot review on materials enabled multimodal bioelectronics for neurological and cardiac research. MRS ADVANCES 2023; 8:1047-1060. [PMID: 38283671 PMCID: PMC10812139 DOI: 10.1557/s43580-023-00645-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 09/08/2023] [Indexed: 01/30/2024]
Abstract
Seamless integration of the body and electronics toward the understanding, quantification, and control of disease states remains one of the grand scientific challenges of this era. As such, research efforts have been dedicated to developing bioelectronic devices for chemical, mechanical, and electrical sensing, and cellular and tissue functionality modulation. The technologies developed to achieve these capabilities cross a wide range of materials and scale (and dimensionality), e.g., from micrometer to centimeters (from 2-dimensional (2D) to 3-dimensional (3D) assemblies). The integration into multimodal systems which allow greater insight and control into intrinsically multifaceted biological systems requires careful design and selection. This snapshot review will highlight the state-of-the-art in cellular recording and modulation as well as the material considerations for the design and manufacturing of devices integrating their capabilities.
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Affiliation(s)
- Mabel Bartlett
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Mengdi He
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Daniel Ranke
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Yingqiao Wang
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Tzahi Cohen-Karni
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
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35
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Zhang A, Zwang TJ, Lieber CM. Biochemically-functionalized probes for cell type-specific targeting and recording in the brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.02.560579. [PMID: 37873102 PMCID: PMC10592891 DOI: 10.1101/2023.10.02.560579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Selective targeting and modulation of distinct cell types and neuron subtypes is central to understanding complex neural circuitry, and could enable electronic treatments that target specific circuits while minimizing off-target effects. However, current brain-implantable electronics have not yet achieved cell-type specificity. We address this challenge by functionalizing flexible mesh electronic probes, which elicit minimal immune response, with antibodies or peptides to target specific cell markers. Histology studies reveal selective association of targeted neurons, astrocytes and microglia with functionalized probe surfaces without accumulating off-target cells. In vivo chronic electrophysiology further yields recordings consistent with selective targeting of these cell types. Last, probes functionalized to target dopamine 2 receptor expressing neurons show the potential for neuron subtype specific targeting and electrophysiology.
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36
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Ghazal M, Susloparova A, Lefebvre C, Daher Mansour M, Ghodhbane N, Melot A, Scholaert C, Guérin D, Janel S, Barois N, Colin M, Buée L, Yger P, Halliez S, Coffinier Y, Pecqueur S, Alibart F. Electropolymerization processing of side-chain engineered EDOT for high performance microelectrode arrays. Biosens Bioelectron 2023; 237:115538. [PMID: 37506488 DOI: 10.1016/j.bios.2023.115538] [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: 03/24/2023] [Revised: 07/04/2023] [Accepted: 07/16/2023] [Indexed: 07/30/2023]
Abstract
Microelectrode Arrays (MEAs) are popular tools for in vitro extracellular recording. They are often optimized by surface engineering to improve affinity with neurons and guarantee higher recording quality and stability. Recently, PEDOT:PSS has been used to coat microelectrodes due to its good biocompatibility and low impedance, which enhances neural coupling. Herein, we investigate on electro-co-polymerization of EDOT with its triglymated derivative to control valence between monomer units and hydrophilic functions on a conducting polymer. Molecular packing, cation complexation, dopant stoichiometry are governed by the glycolation degree of the electro-active coating of the microelectrodes. Optimal monomer ratio allows fine-tuning the material hydrophilicity and biocompatibility without compromising the electrochemical impedance of microelectrodes nor their stability while interfaced with a neural cell culture. After incubation, sensing readout on the modified electrodes shows higher performances with respect to unmodified electropolymerized PEDOT, with higher signal-to-noise ratio (SNR) and higher spike counts on the same neural culture. Reported SNR values are superior to that of state-of-the-art PEDOT microelectrodes and close to that of state-of-the-art 3D microelectrodes, with a reduced fabrication complexity. Thanks to this versatile technique and its impact on the surface chemistry of the microelectrode, we show that electro-co-polymerization trades with many-compound properties to easily gather them into single macromolecular structures. Applied on sensor arrays, it holds great potential for the customization of neurosensors to adapt to environmental boundaries and to optimize extracted sensing features.
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Affiliation(s)
- Mahdi Ghazal
- Institute of Electronics, Microelectronics and Nanotechnology (IEMN, UMR 8520) | Univ. Lille, CNRS, Univ. Polytechnique Hauts-de-France, 59000, Lille, France
| | - Anna Susloparova
- Institute of Electronics, Microelectronics and Nanotechnology (IEMN, UMR 8520) | Univ. Lille, CNRS, Univ. Polytechnique Hauts-de-France, 59000, Lille, France
| | - Camille Lefebvre
- University of Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR-S1172, Lille, France
| | - Michel Daher Mansour
- Institute of Electronics, Microelectronics and Nanotechnology (IEMN, UMR 8520) | Univ. Lille, CNRS, Univ. Polytechnique Hauts-de-France, 59000, Lille, France
| | - Najami Ghodhbane
- Institute of Electronics, Microelectronics and Nanotechnology (IEMN, UMR 8520) | Univ. Lille, CNRS, Univ. Polytechnique Hauts-de-France, 59000, Lille, France
| | - Alexis Melot
- Laboratoire Nanotechnologies & Nanosystèmes (LN2, UMI 3463) | CNRS, Université de Sherbrooke, J1X0A5, Sherbrooke, Canada
| | - Corentin Scholaert
- Institute of Electronics, Microelectronics and Nanotechnology (IEMN, UMR 8520) | Univ. Lille, CNRS, Univ. Polytechnique Hauts-de-France, 59000, Lille, France
| | - David Guérin
- Institute of Electronics, Microelectronics and Nanotechnology (IEMN, UMR 8520) | Univ. Lille, CNRS, Univ. Polytechnique Hauts-de-France, 59000, Lille, France
| | - Sébastien Janel
- Université de Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019-UMR9017, CIIL-Center for Infection and Immunity of Lille, F-59000, Lille, France
| | - Nicolas Barois
- Université de Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019-UMR9017, CIIL-Center for Infection and Immunity of Lille, F-59000, Lille, France
| | - Morvane Colin
- University of Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR-S1172, Lille, France
| | - Luc Buée
- University of Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR-S1172, Lille, France
| | - Pierre Yger
- Plasticity & SubjectivitY Team, Lille Neuroscience & Cognition Research Centre, University of Lille, INSERM U1172, Lille, France; Institut de La Vision, Sorbonne Université, INSERM, Centre National de La Recherche Scientifique, Paris, France
| | - Sophie Halliez
- University of Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR-S1172, Lille, France
| | - Yannick Coffinier
- Institute of Electronics, Microelectronics and Nanotechnology (IEMN, UMR 8520) | Univ. Lille, CNRS, Univ. Polytechnique Hauts-de-France, 59000, Lille, France.
| | - Sébastien Pecqueur
- Institute of Electronics, Microelectronics and Nanotechnology (IEMN, UMR 8520) | Univ. Lille, CNRS, Univ. Polytechnique Hauts-de-France, 59000, Lille, France.
| | - Fabien Alibart
- Institute of Electronics, Microelectronics and Nanotechnology (IEMN, UMR 8520) | Univ. Lille, CNRS, Univ. Polytechnique Hauts-de-France, 59000, Lille, France; Laboratoire Nanotechnologies & Nanosystèmes (LN2, UMI 3463) | CNRS, Université de Sherbrooke, J1X0A5, Sherbrooke, Canada
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37
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Parodi G, Brofiga M, Pastore VP, Chiappalone M, Martinoia S. Deepening the role of excitation/inhibition balance in human iPSCs-derived neuronal networks coupled to MEAs during long-term development. J Neural Eng 2023; 20:056011. [PMID: 37678214 DOI: 10.1088/1741-2552/acf78b] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 09/07/2023] [Indexed: 09/09/2023]
Abstract
Objective.The purpose of this study is to investigate whether and how the balance between excitation and inhibition ('E/I balance') influences the spontaneous development of human-derived neuronal networksin vitro. To achieve that goal, we performed a long-term (98 d) characterization of both homogeneous (only excitatory or inhibitory neurons) and heterogeneous (mixed neuronal types) cultures with controlled E/I ratios (i.e. E:I 0:100, 25:75, 50:50, 75:25, 100:0) by recording their electrophysiological activity using micro-electrode arrays.Approach.Excitatory and inhibitory neurons were derived from human induced pluripotent stem cells (hiPSCs). We realized five different configurations by systematically varying the glutamatergic and GABAergic percentages.Main results.We successfully built both homogeneous and heterogeneous neuronal cultures from hiPSCs finely controlling the E/I ratios; we were able to maintain them for up to 3 months. Homogeneity differentially impacted purely inhibitory (no bursts) and purely excitatory (few bursts) networks, deviating from the typical traits of heterogeneous cultures (burst dominated). Increased inhibition in heterogeneous cultures strongly affected the duration and organization of bursting and network bursting activity. Spike-based functional connectivity and image-based deep learning analysis further confirmed all the above.Significance.Healthy neuronal activity is controlled by a well-defined E/I balance whose alteration could lead to the onset of neurodevelopmental disorders like schizophrenia or epilepsy. Most of the commonly usedin vitromodels are animal-derived or too simplified and thus far from thein vivohuman condition. In this work, by performing a long-term study of hiPSCs-derived neuronal networks obtained from healthy human subjects, we demonstrated the feasibility of a robustin vitromodel which can be further exploited for investigating pathological conditions where the E/I balance is impaired.
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Affiliation(s)
- Giulia Parodi
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
| | - Martina Brofiga
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
- ScreenNeuroPharm s.r.l, Sanremo, Italy
- Neurofacility, Istituto Italiano di Tecnologia, Genova, Italy
| | - Vito Paolo Pastore
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
- Machine Learning Genoa Center (MaLGa), Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genova, Genova, Italy
| | - Michela Chiappalone
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
| | - Sergio Martinoia
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
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Shpun G, Farah N, Chemla Y, Markus A, Leibovitch TA, Lasnoy E, Gerber D, Zalevsky Z, Mandel Y. Optimizing the fabrication of a 3D high-resolution implant for neural stimulation. J Biol Eng 2023; 17:55. [PMID: 37620951 PMCID: PMC10463680 DOI: 10.1186/s13036-023-00370-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 07/24/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND Tissue-integrated micro-electronic devices for neural stimulation hold great potential in restoring the functionality of degenerated organs, specifically, retinal prostheses, which are aimed at vision restoration. The fabrication process of 3D polymer-metal devices with high resolution and a high aspect-ratio (AR) is very complex and faces many challenges that impair its functionality. APPROACH Here we describe the optimization of the fabrication process of a bio-functionalized 3D high-resolution 1mm circular subretinal implant composed of SU-8 polymer integrated with dense gold microelectrodes (23μm pitch) passivated with 3D micro-well-like structures (20μm diameter, 3μm resolution). The main challenges were overcome by step-by-step planning and optimization while utilizing a two-step bi-layer lift-off process; bio-functionalization was carried out by N2 plasma treatment and the addition of a bio-adhesion molecule. MAIN RESULTS In-vitro and in-vivo investigations, including SEM and FIB cross section examinations, revealed a good structural design, as well as a good long-term integration of the device in the rat sub-retinal space and cell migration into the wells. Moreover, the feasibility of subretinal neural stimulation using the fabricated device was demonstrated in-vitro by electrical activation of rat's retina. CONCLUSIONS The reported process and optimization steps described here in detail can aid in designing and fabricating retinal prosthetic devices or similar neural implants.
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Affiliation(s)
- Gal Shpun
- The Alexander Kofkin Faculty of Engineering, Bar Ilan University, 5290002, Ramat Gan, Israel
- Faculty of Life Sciences, School of Optometry & Visual Science, Bar Ilan University, 5290002, Ramat Gan, Israel
- Bar Ilan Institute for Nanotechnology & Advanced Materials (BINA), Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Nairouz Farah
- Faculty of Life Sciences, School of Optometry & Visual Science, Bar Ilan University, 5290002, Ramat Gan, Israel
- Bar Ilan Institute for Nanotechnology & Advanced Materials (BINA), Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Yoav Chemla
- Faculty of Life Sciences, School of Optometry & Visual Science, Bar Ilan University, 5290002, Ramat Gan, Israel
- Bar Ilan Institute for Nanotechnology & Advanced Materials (BINA), Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Amos Markus
- Faculty of Life Sciences, School of Optometry & Visual Science, Bar Ilan University, 5290002, Ramat Gan, Israel
- Bar Ilan Institute for Nanotechnology & Advanced Materials (BINA), Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Tamar Azrad Leibovitch
- Faculty of Life Sciences, School of Optometry & Visual Science, Bar Ilan University, 5290002, Ramat Gan, Israel
- Bar Ilan Institute for Nanotechnology & Advanced Materials (BINA), Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Erel Lasnoy
- Faculty of Life Sciences, School of Optometry & Visual Science, Bar Ilan University, 5290002, Ramat Gan, Israel
- Bar Ilan Institute for Nanotechnology & Advanced Materials (BINA), Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Doron Gerber
- Bar Ilan Institute for Nanotechnology & Advanced Materials (BINA), Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Zeev Zalevsky
- The Alexander Kofkin Faculty of Engineering, Bar Ilan University, 5290002, Ramat Gan, Israel
- Bar Ilan Institute for Nanotechnology & Advanced Materials (BINA), Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Yossi Mandel
- Faculty of Life Sciences, School of Optometry & Visual Science, Bar Ilan University, 5290002, Ramat Gan, Israel.
- Bar Ilan Institute for Nanotechnology & Advanced Materials (BINA), Bar Ilan University, 5290002, Ramat Gan, Israel.
- The Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel.
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Yin S, Li Y, Lu R, Guo L, Wang Y, Liu C, Li J. A cell-electrode interface signal-to-noise ratio model for 3D micro-nano electrode. J Neural Eng 2023; 20:046034. [PMID: 37473750 DOI: 10.1088/1741-2552/ace933] [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: 10/21/2022] [Accepted: 07/20/2023] [Indexed: 07/22/2023]
Abstract
Objective. Three-dimensional micro-nano electrodes (MNEs) with the vertical nanopillar array distributed on the surface play an increasingly important role in neural science research. The geometric parameters of the nanopillar array and the cell adhesion state on the nanopillar array are the factors that may affect the MNE recording. However, the quantified relationship between these parameters and the signal-to-noise ratio (SNR) is still unclear. This paper establishes a cell-MNE interface SNR model and obtains the mathematical relationship between the above parameters and SNR.Approach. The equivalent electrical circuit and numerical simulation are used to study the sensing performance of the cell-electrode interface. The adhesion state of cells on MNE is quantified as engulfment percentage, and an equivalent cleft width is proposed to describe the signal loss caused by clefts between the cell membrane and the electrode surface.Main results. Whether the planar substrate is insulated or not, the SNR of MNE is greater than planar microelectrode only when the engulfment percentage is greater than a certain value. Under the premise of maximum engulfment percentage, the spacing and height of nanopillars should be minimized, and the radius of the nanopillar should be maximized for better signal quality.Significance. The model can clarify the mechanism of improving SNR by nanopillar arrays and provides the theoretical basis for the design of such nanopillar neural electrodes.
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Affiliation(s)
- Shuqing Yin
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, People's Republic of China
| | - Yang Li
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, People's Republic of China
| | - Ruoyu Lu
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, People's Republic of China
| | - Lihua Guo
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, People's Republic of China
| | - Yansheng Wang
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, People's Republic of China
| | - Chong Liu
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, People's Republic of China
- Key Laboratory for Precision and Non-Traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, People's Republic of China
| | - Jingmin Li
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, People's Republic of China
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Shokouhi AR, Chen Y, Yoh HZ, Murayama T, Suu K, Morikawa Y, Brenker J, Alan T, Voelcker NH, Elnathan R. Electroactive nanoinjection platform for intracellular delivery and gene silencing. J Nanobiotechnology 2023; 21:273. [PMID: 37592297 PMCID: PMC10433684 DOI: 10.1186/s12951-023-02056-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 08/07/2023] [Indexed: 08/19/2023] Open
Abstract
BACKGROUND Nanoinjection-the process of intracellular delivery using vertically configured nanostructures-is a physical route that efficiently negotiates the plasma membrane, with minimal perturbation and toxicity to the cells. Nanoinjection, as a physical membrane-disruption-mediated approach, overcomes challenges associated with conventional carrier-mediated approaches such as safety issues (with viral carriers), genotoxicity, limited packaging capacity, low levels of endosomal escape, and poor versatility for cell and cargo types. Yet, despite the implementation of nanoinjection tools and their assisted analogues in diverse cellular manipulations, there are still substantial challenges in harnessing these platforms to gain access into cell interiors with much greater precision without damaging the cell's intricate structure. Here, we propose a non-viral, low-voltage, and reusable electroactive nanoinjection (ENI) platform based on vertically configured conductive nanotubes (NTs) that allows for rapid influx of targeted biomolecular cargos into the intracellular environment, and for successful gene silencing. The localization of electric fields at the tight interface between conductive NTs and the cell membrane drastically lowers the voltage required for cargo delivery into the cells, from kilovolts (for bulk electroporation) to only ≤ 10 V; this enhances the fine control over membrane disruption and mitigates the problem of high cell mortality experienced by conventional electroporation. RESULTS Through both theoretical simulations and experiments, we demonstrate the capability of the ENI platform to locally perforate GPE-86 mouse fibroblast cells and efficiently inject a diverse range of membrane-impermeable biomolecules with efficacy of 62.5% (antibody), 55.5% (mRNA), and 51.8% (plasmid DNA), with minimal impact on cells' viability post nanoscale-EP (> 90%). We also show gene silencing through the delivery of siRNA that targets TRIOBP, yielding gene knockdown efficiency of 41.3%. CONCLUSIONS We anticipate that our non-viral and low-voltage ENI platform is set to offer a new safe path to intracellular delivery with broader selection of cargo and cell types, and will open opportunities for advanced ex vivo cell engineering and gene silencing.
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Affiliation(s)
- Ali-Reza Shokouhi
- Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
- Melbourne Centre for Nanofabrication, Victorian Node of the Australian National Fabrication Facility, 151 Wellington Road, Clayton, VIC, 3168, Australia
| | - Yaping Chen
- Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
- Melbourne Centre for Nanofabrication, Victorian Node of the Australian National Fabrication Facility, 151 Wellington Road, Clayton, VIC, 3168, Australia
| | - Hao Zhe Yoh
- Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
- Melbourne Centre for Nanofabrication, Victorian Node of the Australian National Fabrication Facility, 151 Wellington Road, Clayton, VIC, 3168, Australia
| | - Takahide Murayama
- Institute of Semiconductor and Electronics Technologies, ULVAC Inc, 1220-1 Suyama, Susono, Shizuoka, 410-1231, Japan
| | - Koukou Suu
- Institute of Semiconductor and Electronics Technologies, ULVAC Inc, 1220-1 Suyama, Susono, Shizuoka, 410-1231, Japan
| | - Yasuhiro Morikawa
- Institute of Semiconductor and Electronics Technologies, ULVAC Inc, 1220-1 Suyama, Susono, Shizuoka, 410-1231, Japan
| | - Jason Brenker
- Department of Mechanical and Aerospace Engineering, Monash University, Wellington Rd, Clayton, VIC, 3168, Australia
| | - Tuncay Alan
- Department of Mechanical and Aerospace Engineering, Monash University, Wellington Rd, Clayton, VIC, 3168, Australia
| | - Nicolas H Voelcker
- Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia.
- Melbourne Centre for Nanofabrication, Victorian Node of the Australian National Fabrication Facility, 151 Wellington Road, Clayton, VIC, 3168, Australia.
- INM-Leibniz Institute for New Materials, Campus D2 2, 66123, Saarbrücken, Germany.
- Department of Materials Science and Engineering, Monash University, 22 Alliance Lane, Clayton, VIC, 3168, Australia.
| | - Roey Elnathan
- Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia.
- Melbourne Centre for Nanofabrication, Victorian Node of the Australian National Fabrication Facility, 151 Wellington Road, Clayton, VIC, 3168, Australia.
- Faculty of Health, School of Medicine, Deakin University, Waurn Ponds, Melbourne, VIC, 3216, Australia.
- Institute for Frontier Materials, Deakin University, Geelong Waurn Ponds campus, Melbourne, VIC, 3216, Australia.
- The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong Waurn Ponds Campus, Melbourne, VIC, 3216, Australia.
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Maita F, Maiolo L, Lucarini I, Del Rio De Vicente JI, Sciortino A, Ledda M, Mussi V, Lisi A, Convertino A. Revealing Low Amplitude Signals of Neuroendocrine Cells through Disordered Silicon Nanowires-Based Microelectrode Array. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2301925. [PMID: 37357140 PMCID: PMC10460871 DOI: 10.1002/advs.202301925] [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: 03/24/2023] [Revised: 06/06/2023] [Indexed: 06/27/2023]
Abstract
Today, the key methodology to study in vitro or in vivo electrical activity in a population of electrogenic cells, under physiological or pathological conditions, is by using microelectrode array (MEA). While significant efforts have been devoted to develop nanostructured MEAs for improving the electrophysiological investigation in neurons and cardiomyocytes, data on the recording of the electrical activity from neuroendocrine cells with MEA technology are scarce owing to their weaker electrical signals. Disordered silicon nanowires (SiNWs) for developing a MEA that, combined with a customized acquisition board, successfully capture the electrical signals generated by the corticotrope AtT-20 cells as a function of the extracellular calcium (Ca2+ ) concentration are reported. The recorded signals show a shape that clearly resembles the action potential waveform by suggesting a natural membrane penetration of the SiNWs. Additionally, the generation of synchronous signals observed under high Ca2+ content indicates the occurrence of a collective behavior in the AtT-20 cell population. This study extends the usefulness of MEA technology to the investigation of the electrical communication in cells of the pituitary gland, crucial in controlling several essential human functions, and provides new perspectives in recording with MEA the electrical activity of excitable cells.
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Affiliation(s)
- Francesco Maita
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Luca Maiolo
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Ivano Lucarini
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | | | - Antonio Sciortino
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Mario Ledda
- Institute of Translational PharmacologyNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Valentina Mussi
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Antonella Lisi
- Institute of Translational PharmacologyNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Annalisa Convertino
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
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Qian S, Lin HA, Pan Q, Zhang S, Zhang Y, Geng Z, Wu Q, He Y, Zhu B. Chemically revised conducting polymers with inflammation resistance for intimate bioelectronic electrocoupling. Bioact Mater 2023; 26:24-51. [PMID: 36875055 PMCID: PMC9975642 DOI: 10.1016/j.bioactmat.2023.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 01/26/2023] [Accepted: 02/10/2023] [Indexed: 02/23/2023] Open
Abstract
Conducting polymers offer attractive mixed ionic-electronic conductivity, tunable interfacial barrier with metal, tissue matchable softness, and versatile chemical functionalization, making them robust to bridge the gap between brain tissue and electronic circuits. This review focuses on chemically revised conducting polymers, combined with their superior and controllable electrochemical performance, to fabricate long-term bioelectronic implants, addressing chronic immune responses, weak neuron attraction, and long-term electrocommunication instability challenges. Moreover, the promising progress of zwitterionic conducting polymers in bioelectronic implants (≥4 weeks stable implantation) is highlighted, followed by a comment on their current evolution toward selective neural coupling and reimplantable function. Finally, a critical forward look at the future of zwitterionic conducting polymers for in vivo bioelectronic devices is provided.
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Affiliation(s)
- Sihao Qian
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China.,School of Materials Science and Engineering & Shanghai Engineering Research Center of Organ Repair, Shanghai University, Shanghai, 200444, China
| | - Hsing-An Lin
- School of Materials Science and Engineering & Shanghai Engineering Research Center of Organ Repair, Shanghai University, Shanghai, 200444, China
| | - Qichao Pan
- School of Materials Science and Engineering & Shanghai Engineering Research Center of Organ Repair, Shanghai University, Shanghai, 200444, China
| | - Shuhua Zhang
- School of Materials Science and Engineering & Shanghai Engineering Research Center of Organ Repair, Shanghai University, Shanghai, 200444, China
| | - Yunhua Zhang
- School of Materials Science and Engineering & Shanghai Engineering Research Center of Organ Repair, Shanghai University, Shanghai, 200444, China
| | - Zhi Geng
- School of Materials Science and Engineering & Shanghai Engineering Research Center of Organ Repair, Shanghai University, Shanghai, 200444, China
| | - Qing Wu
- School of Materials Science and Engineering & Shanghai Engineering Research Center of Organ Repair, Shanghai University, Shanghai, 200444, China
| | - Yong He
- Innovation Center for Textile Science and Technology, Donghua University, Shanghai, 201620, China
| | - Bo Zhu
- School of Materials Science and Engineering & Shanghai Engineering Research Center of Organ Repair, Shanghai University, Shanghai, 200444, China
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Armada-Moreira A, Dar AM, Zhao Z, Cea C, Gelinas J, Berggren M, Costa A, Khodagholy D, Stavrinidou E. Plant electrophysiology with conformable organic electronics: Deciphering the propagation of Venus flytrap action potentials. SCIENCE ADVANCES 2023; 9:eadh4443. [PMID: 37494449 PMCID: PMC10371018 DOI: 10.1126/sciadv.adh4443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 06/22/2023] [Indexed: 07/28/2023]
Abstract
Electrical signals in plants are mediators of long-distance signaling and correlate with plant movements and responses to stress. These signals are studied with single surface electrodes that cannot resolve signal propagation and integration, thus impeding their decoding and link to function. Here, we developed a conformable multielectrode array based on organic electronics for large-scale and high-resolution plant electrophysiology. We performed precise spatiotemporal mapping of the action potential (AP) in Venus flytrap and found that the AP actively propagates through the tissue with constant speed and without strong directionality. We also found that spontaneously generated APs can originate from unstimulated hairs and that they correlate with trap movement. Last, we demonstrate that the Venus flytrap circuitry can be activated by cells other than the sensory hairs. Our work reveals key properties of the AP and establishes the capacity of organic bioelectronics for resolving electrical signaling in plants contributing to the mechanistic understanding of long-distance responses in plants.
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Affiliation(s)
- Adam Armada-Moreira
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
- Neuronal Dynamics Lab, International School for Advanced Studies, 34136 Trieste TS, Italy
| | - Abdul Manan Dar
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
| | - Zifang Zhao
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Claudia Cea
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Jennifer Gelinas
- Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA
| | - Magnus Berggren
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
- Wallenberg Wood Science Center, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
| | - Alex Costa
- Department of Biosciences, University of Milan, 20133 Milano, Italy
- Institute of Biophysics, National Research Council of Italy (CNR), 20133 Milano, Italy
| | - Dion Khodagholy
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Eleni Stavrinidou
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
- Wallenberg Wood Science Center, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
- Umeå Plant Science Center, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, SE-901 83 Umeå, Sweden
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Zips S, Huang B, Hotte S, Hiendlmeier L, Wang C, Rajamani K, Buriez O, Al Boustani G, Chen Y, Wolfrum B, Yamada A. Aerosol Jet-Printed High-Aspect Ratio Micro-Needle Electrode Arrays Applied for Human Cerebral Organoids and 3D Neurospheroid Networks. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37469180 DOI: 10.1021/acsami.3c06210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
The human brain is a complex and poorly accessible organ. Thus, new tools are required for studying the neural function in a controllable environment that preserves multicellular interaction and neuronal wiring. In particular, high-throughput methods that alleviate the need for animal experiments are essential for future studies. Recent developments of induced pluripotent stem cell technologies have enabled in vitro modeling of the human brain by creating three-dimensional brain tissue mimic structures. To leverage these new technologies, a systematic and versatile approach for evaluating neuronal activity at larger tissue depths within the regime of tens to hundreds of micrometers is required. Here, we present an aerosol-jet- and inkjet-printing-based method to fabricate microelectrode arrays, equipped with high-aspect ratio μ-needle electrodes that penetrate 3D neural network assemblies. The arrays have been successfully applied for electrophysiological recordings on interconnected neurospheroids formed on an engineered substrate and on cerebral organoids, both derived from human induced pluripotent stem cells.
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Affiliation(s)
- Sabine Zips
- Neuroelectronics─Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Boltzmannstr. 11, 85748 Garching, Germany
| | - Boxin Huang
- PASTEUR, Department of Chemistry, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, 75005 Paris, France
| | - Salammbô Hotte
- PASTEUR, Department of Chemistry, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, 75005 Paris, France
| | - Lukas Hiendlmeier
- Neuroelectronics─Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Boltzmannstr. 11, 85748 Garching, Germany
| | - Chen Wang
- Neuroelectronics─Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Boltzmannstr. 11, 85748 Garching, Germany
| | - Karthyayani Rajamani
- PASTEUR, Department of Chemistry, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, 75005 Paris, France
| | - Olivier Buriez
- PASTEUR, Department of Chemistry, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, 75005 Paris, France
| | - George Al Boustani
- Neuroelectronics─Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Boltzmannstr. 11, 85748 Garching, Germany
| | - Yong Chen
- PASTEUR, Department of Chemistry, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, 75005 Paris, France
| | - Bernhard Wolfrum
- Neuroelectronics─Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Boltzmannstr. 11, 85748 Garching, Germany
| | - Ayako Yamada
- PASTEUR, Department of Chemistry, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, 75005 Paris, France
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Chen Z, Lin Z, Obaid SN, Rytkin E, George SA, Bach C, Madrid M, Liu M, LaPiano J, Fehr A, Shi X, Quirion N, Russo B, Knight H, Aduwari A, Efimov IR, Lu L. Soft, bioresorbable, transparent microelectrode arrays for multimodal spatiotemporal mapping and modulation of cardiac physiology. SCIENCE ADVANCES 2023; 9:eadi0757. [PMID: 37406128 DOI: 10.1126/sciadv.adi0757] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 06/01/2023] [Indexed: 07/07/2023]
Abstract
Transparent microelectrode arrays (MEAs) that allow multimodal investigation of the spatiotemporal cardiac characteristics are important in studying and treating heart disease. Existing implantable devices, however, are designed to support chronic operational lifetimes and require surgical extraction when they malfunction or are no longer needed. Meanwhile, bioresorbable systems that can self-eliminate after performing temporary functions are increasingly attractive because they avoid the costs/risks of surgical extraction. We report the design, fabrication, characterization, and validation of a soft, fully bioresorbable, and transparent MEA platform for bidirectional cardiac interfacing over a clinically relevant period. The MEA provides multiparametric electrical/optical mapping of cardiac dynamics and on-demand site-specific pacing to investigate and treat cardiac dysfunctions in rat and human heart models. The bioresorption dynamics and biocompatibility are investigated. The device designs serve as the basis for bioresorbable cardiac technologies for potential postsurgical monitoring and treating temporary patient pathological conditions in certain clinical scenarios, such as myocardial infarction, ischemia, and transcatheter aortic valve replacement.
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Affiliation(s)
- Zhiyuan Chen
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Zexu Lin
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Sofian N Obaid
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Eric Rytkin
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Sharon A George
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Christopher Bach
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Micah Madrid
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Miya Liu
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Jessica LaPiano
- MedStar Georgetown University Hospital, Washington, DC 20037, USA
| | - Amy Fehr
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Xinyu Shi
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Nathaniel Quirion
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Benjamin Russo
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Helen Knight
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Anthony Aduwari
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Igor R Efimov
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Medicine (Cardiology), Northwestern University, Chicago, IL 60611, USA
| | - Luyao Lu
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
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Kang DH, Choi JG, Lee WJ, Heo D, Wang S, Park S, Yoon MH. Aqueous electrolyte-gated solution-processed metal oxide transistors for direct cellular interfaces. APL Bioeng 2023; 7:026102. [PMID: 37056513 PMCID: PMC10089684 DOI: 10.1063/5.0138861] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/23/2023] [Indexed: 04/15/2023] Open
Abstract
Biocompatible field-effect-transistor-based biosensors have drawn attention for the development of next-generation human-friendly electronics. High-performance electronic devices must achieve low-voltage operation, long-term operational stability, and biocompatibility. Herein, we propose an electrolyte-gated thin-film transistor made of large-area solution-processed indium-gallium-zinc oxide (IGZO) semiconductors capable of directly interacting with live cells at physiological conditions. The fabricated transistors exhibit good electrical performance operating under sub-0.5 V conditions with high on-/off-current ratios (>107) and transconductance (>1.0 mS) over an extended operational lifetime. Furthermore, we verified the biocompatibility of the IGZO surface to various types of mammalian cells in terms of cell viability, proliferation, morphology, and drug responsiveness. Finally, the prolonged stable operation of electrolyte-gated transistor devices directly integrated with live cells provides the proof-of-concept for solution-processed metal oxide material-based direct cellular interfaces.
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Affiliation(s)
- Dong-Hee Kang
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Jun-Gyu Choi
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Won-June Lee
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Dongmi Heo
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Sungrok Wang
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Sungjun Park
- Electrical and Computer Engineering, Ajou University, Suwon 16499, Republic of Korea
| | - Myung-Han Yoon
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
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47
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Ren X, Bok I, Vareberg A, Hai A. Stimulation-mediated reverse engineering of silent neural networks. J Neurophysiol 2023; 129:1505-1514. [PMID: 37222450 PMCID: PMC10311990 DOI: 10.1152/jn.00100.2023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 05/16/2023] [Accepted: 05/23/2023] [Indexed: 05/25/2023] Open
Abstract
Reconstructing connectivity of neuronal networks from single-cell activity is essential to understanding brain function, but the challenge of deciphering connections from populations of silent neurons has been largely unmet. We demonstrate a protocol for deriving connectivity of simulated silent neuronal networks using stimulation combined with a supervised learning algorithm, which enables inferring connection weights with high fidelity and predicting spike trains at the single-spike and single-cell levels with high accuracy. We apply our method on rat cortical recordings fed through a circuit of heterogeneously connected leaky integrate-and-fire neurons firing at typical lognormal distributions and demonstrate improved performance during stimulation for multiple subpopulations. These testable predictions about the number and protocol of the required stimulations are expected to enhance future efforts for deriving neuronal connectivity and drive new experiments to better understand brain function.NEW & NOTEWORTHY We introduce a new concept for reverse engineering silent neuronal networks using a supervised learning algorithm combined with stimulation. We quantify the performance of the algorithm and the precision of deriving synaptic weights in inhibitory and excitatory subpopulations. We then show that stimulation enables deciphering connectivity of heterogeneous circuits fed with real electrode array recordings, which could extend in the future to deciphering connectivity in broad biological and artificial neural networks.
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Affiliation(s)
- Xiaoxuan Ren
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States
- Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States
| | - Ilhan Bok
- Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States
| | - Adam Vareberg
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States
| | - Aviad Hai
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States
- Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States
- Wisconsin Institute for Translational Neuroengineering (WITNe), Madison, Wisconsin, United States
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48
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Zhou Z, Yip HM, Tsimring K, Sur M, Ip JPK, Tin C. Effective and efficient neural networks for spike inference from in vivo calcium imaging. CELL REPORTS METHODS 2023; 3:100462. [PMID: 37323579 PMCID: PMC10261900 DOI: 10.1016/j.crmeth.2023.100462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/21/2023] [Accepted: 03/31/2023] [Indexed: 06/17/2023]
Abstract
Calcium imaging provides advantages in monitoring large populations of neuronal activities simultaneously. However, it lacks the signal quality provided by neural spike recording in traditional electrophysiology. To address this issue, we developed a supervised data-driven approach to extract spike information from calcium signals. We propose the ENS2 (effective and efficient neural networks for spike inference from calcium signals) system for spike-rate and spike-event predictions using ΔF/F0 calcium inputs based on a U-Net deep neural network. When testing on a large, ground-truth public database, it consistently outperformed state-of-the-art algorithms in both spike-rate and spike-event predictions with reduced computational load. We further demonstrated that ENS2 can be applied to analyses of orientation selectivity in primary visual cortex neurons. We conclude that it would be a versatile inference system that may benefit diverse neuroscience studies.
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Affiliation(s)
- Zhanhong Zhou
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, China
| | - Hei Matthew Yip
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Katya Tsimring
- Department of Brain and Cognitive Sciences, Picower Institute for Learning and Memory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
| | - Mriganka Sur
- Department of Brain and Cognitive Sciences, Picower Institute for Learning and Memory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
| | - Jacque Pak Kan Ip
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Chung Tin
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, China
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49
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Fang J, Pan Y, Xu J, Xu D, Li H, Liu C, Hu N. Integrated Cardiomyocyte-Based Biosensing Platform for Electroporation-Triggered Intracellular Recording in Parallel with Delivery Efficiency Evaluation. NANO LETTERS 2023; 23:4049-4057. [PMID: 37098848 DOI: 10.1021/acs.nanolett.3c00917] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Electroporation is a proven technique that can record action potential of cardiomyocytes and serve for biomolecular delivery. To ensure high cell viability, micro-nanodevices cooperating with low-voltage electroporation are frequently utilized in research, and the effectiveness of delivery for intracellular access is typically assessed using an optical imaging approach like flow cytometry. However, the efficiency of in situ biomedical studies is hampered by the intricacy of these analytical approaches. Here, we develop an integrated cardiomyocyte-based biosensing platform to effectively record action potential and evaluate the electroporation quality in terms of viability, delivery efficiency, and mortality. The ITO-MEA device of the platform possesses sensing/stimulating electrodes which combines with the self-developed system to achieve intracellular action potential recording and delivery by electroporation trigger. Moreover, the image acquisition processing system analyzes various parameters effectively to assess delivery performance. Therefore, this platform has the potential for drug delivery therapy and pathology research for cardiology.
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Affiliation(s)
- Jiaru Fang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Yuxiang Pan
- Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, China
| | - Jiarong Xu
- Foshan Power Supply Bureau of Guangdong Power Grid, Foshan 528000, China
| | - Dongxin Xu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Hongbo Li
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Chuan Liu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Ning Hu
- Department of Chemistry, Zhejiang University, Hangzhou 310058, China
- Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, China
- State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai 200050, China
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50
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Li Q, Lin Z, Liu R, Tang X, Huang J, He Y, Sui X, Tian W, Shen H, Zhou H, Sheng H, Shi H, Xiao L, Wang X, Liu J. Multimodal charting of molecular and functional cell states via in situ electro-sequencing. Cell 2023; 186:2002-2017.e21. [PMID: 37080201 DOI: 10.1016/j.cell.2023.03.023] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/21/2022] [Accepted: 03/16/2023] [Indexed: 04/22/2023]
Abstract
Paired mapping of single-cell gene expression and electrophysiology is essential to understand gene-to-function relationships in electrogenic tissues. Here, we developed in situ electro-sequencing (electro-seq) that combines flexible bioelectronics with in situ RNA sequencing to stably map millisecond-timescale electrical activity and profile single-cell gene expression from the same cells across intact biological networks, including cardiac and neural patches. When applied to human-induced pluripotent stem-cell-derived cardiomyocyte patches, in situ electro-seq enabled multimodal in situ analysis of cardiomyocyte electrophysiology and gene expression at the cellular level, jointly defining cell states and developmental trajectories. Using machine-learning-based cross-modal analysis, in situ electro-seq identified gene-to-electrophysiology relationships throughout cardiomyocyte development and accurately reconstructed the evolution of gene expression profiles based on long-term stable electrical measurements. In situ electro-seq could be applicable to create spatiotemporal multimodal maps in electrogenic tissues, potentiating the discovery of cell types and gene programs responsible for electrophysiological function and dysfunction.
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Affiliation(s)
- Qiang Li
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
| | - Zuwan Lin
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Ren Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
| | - Xin Tang
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jiahao Huang
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Yichun He
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Xin Sui
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Weiwen Tian
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
| | - Hao Shen
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
| | - Haowen Zhou
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Hao Sheng
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
| | - Hailing Shi
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Ling Xiao
- Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Cardiovascular Disease Initiative and Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Xiao Wang
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Jia Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA.
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