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Habibey R, Striebel J, Meinert M, Latiftikhereshki R, Schmieder F, Nasiri R, Latifi S. Engineered modular neuronal networks-on-chip represent structure-function relationship. Biosens Bioelectron 2024; 261:116518. [PMID: 38924816 DOI: 10.1016/j.bios.2024.116518] [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: 02/08/2024] [Revised: 06/18/2024] [Accepted: 06/20/2024] [Indexed: 06/28/2024]
Abstract
Brain function is substantially linked to the highly organized modular structure of neuronal networks. However, the structure of in vitro assembled neuronal circuits often exhibits variability, complicating the consistent recording of network functional output and its correlation to network structure. Therefore, engineering neuronal structures with predefined geometry and reproducible functional features is essential to precisely model in vivo neuronal circuits. Here, we engineered microchannel devices to assemble 2D and 3D modular networks. The microchannel devices were coupled with a multi-electrode array (MEA) electrophysiology system to enable recordings from circuits. Each network consisted of 64 modules connected to their adjacent modules by micron-sized channels. Modular circuits within microchannel devices showed enhanced activity and functional connectivity traits. This includes metrics such as connection weights, clustering coefficient, global efficiency, and the number of hub neurons with higher betweenness centrality. In addition, modular networks demonstrated an increased functional modularity score compared to the randomly formed circuits. Neurons within individual modules displayed uniform network characteristics and predominantly participated in their respective functional communities within the same or neighboring physical modules. These observations highlight that the modular network structure promotes the development of segregated functional connectivity traits while simultaneously enhancing the efficiency of overall network connectivity. Our findings emphasize the significant impact of physical constraints on the activity patterns and functional organization within engineered modular networks. These circuits, characterized by stable modular architecture and intricate functional dynamics-key features of the brain networks-offer a robust in vitro model for advancing neuroscience research.
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Affiliation(s)
- Rouhollah Habibey
- Department of Ophthalmology, Medical Faculty, University of Bonn, Bonn, Germany; CRTD - Center for Regenerative Therapies TU Dresden, 01307, Dresden, Germany; Dept. Neuroscience, Italian Institute of Technology. Genova, Italy.
| | - Johannes Striebel
- Department of Ophthalmology, Medical Faculty, University of Bonn, Bonn, Germany
| | - Melissa Meinert
- Department of Ophthalmology, Medical Faculty, University of Bonn, Bonn, Germany
| | - Roshanak Latiftikhereshki
- Department of Computer Engineering, Faculty of Engineering, Kermanshah Branch, Azad University, Kermanshah, Iran
| | - Felix Schmieder
- Laboratory of Measurement and Sensor System Technique, Faculty of Electrical and Computer Engineering, TU Dresden, Helmholtzstraße 18, 01069, Dresden, Germany
| | - Rohollah Nasiri
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, Solna, Sweden; AIMES, Center for the Advancement of Integrated Medical and Engineering Sciences, Department of Neuroscience, Karolinska Institute, Solna, Sweden
| | - Shahrzad Latifi
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA; Department of Neuroscience, Rockefeller Neuroscience Institute West Virginia University, Morgantown, WV, 26506, USA
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2
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Li T, Jiang Y, Fu X, Sun Z, Yan Y, Li YF, Liu S. Nanorobot-Based Direct Implantation of Flexible Neural Electrode for BCI. IEEE Trans Biomed Eng 2024; 71:3014-3023. [PMID: 38913534 DOI: 10.1109/tbme.2024.3406940] [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: 06/26/2024]
Abstract
Brain-Computer Interface (BCI) has gained remarkable prominence in biomedical community. While BCI holds vast potential across diverse domains, the implantation of neural electrodes poses multifaceted challenges to fully explore the power of BCI. Conventional rigid electrodes face the problem of foreign body reaction induced by mechanical mismatch to biological tissue, while flexible electrodes, though more preferential, lack controllability during implantation. Researchers have explored various strategies, from assistive shuttle to biodegradable coatings, to strike a balance between implantation rigidity and post-implantation flexibility. Yet, these approaches may introduce complications, including immune response, inflammations, and raising intracranial pressure. To this end, this paper proposes a novel nanorobot-based technique for direct implantation of flexible neural electrodes, leveraging the high controllability and repeatability of robotics to enhance the implantation quality. This approach features a dual-arm nanorobotic system equipped with stereo microscope, by which a flexible electrode is first visually aligned to the target neural tissue to establish contact and thereafter implanted into brain with well controlled insertion direction and depth. The key innovation is, through dual-arm coordination, the flexible electrode maintains straight along the implantation direction. With this approach, we implanted CNTf electrodes into cerebral cortex of mouse, and captured standard spiking neural signals.
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3
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Doorn N, Voogd EJHF, Levers MR, van Putten MJAM, Frega M. Breaking the burst: Unveiling mechanisms behind fragmented network bursts in patient-derived neurons. Stem Cell Reports 2024:S2213-6711(24)00250-9. [PMID: 39366380 DOI: 10.1016/j.stemcr.2024.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 08/30/2024] [Accepted: 09/02/2024] [Indexed: 10/06/2024] Open
Abstract
Fragmented network bursts (NBs) are observed as a phenotypic driver in many patient-derived neuronal networks on multi-electrode arrays (MEAs), but the pathophysiological mechanisms underlying this phenomenon are unknown. Here, we used our previously developed biophysically detailed in silico model to investigate these mechanisms. Fragmentation of NBs in our model simulations occurred only when the level of short-term synaptic depression (STD) was enhanced, suggesting that STD is a key player. Experimental validation with Dynasore, an STD enhancer, induced fragmented NBs in healthy neuronal networks in vitro. Additionally, we showed that strong asynchronous neurotransmitter release, NMDA currents, or short-term facilitation (STF) can support the emergence of multiple fragments in NBs by producing excitation that persists after high-frequency firing stops. Our results provide important insights into disease mechanisms and potential pharmaceutical targets for neurological disorders modeled using human induced pluripotent stem cell (hiPSC)-derived neurons.
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Affiliation(s)
- Nina Doorn
- Department of Clinical Neurophysiology, University of Twente, Enschede 7522 NB, the Netherlands.
| | - Eva J H F Voogd
- Department of Clinical Neurophysiology, University of Twente, Enschede 7522 NB, the Netherlands
| | - Marloes R Levers
- Department of Clinical Neurophysiology, University of Twente, Enschede 7522 NB, the Netherlands
| | - Michel J A M van Putten
- Department of Clinical Neurophysiology, University of Twente, Enschede 7522 NB, the Netherlands; Department of Neurology and Clinical Neurophysiology, Medisch Spectrum Twente, Enschede 7512 KZ, the Netherlands
| | - Monica Frega
- Department of Clinical Neurophysiology, University of Twente, Enschede 7522 NB, the Netherlands
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Boddeti U, Langbein J, McAfee D, Altshuler M, Bachani M, Zaveri HP, Spencer D, Zaghloul KA, Ksendzovsky A. Modeling seizure networks in neuron-glia cultures using microelectrode arrays. FRONTIERS IN NETWORK PHYSIOLOGY 2024; 4:1441345. [PMID: 39290793 PMCID: PMC11405204 DOI: 10.3389/fnetp.2024.1441345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 08/20/2024] [Indexed: 09/19/2024]
Abstract
Epilepsy is a common neurological disorder, affecting over 65 million people worldwide. Unfortunately, despite resective surgery, over 30 % of patients with drug-resistant epilepsy continue to experience seizures. Retrospective studies considering connectivity using intracranial electrocorticography (ECoG) obtained during neuromonitoring have shown that treatment failure is likely driven by failure to consider critical components of the seizure network, an idea first formally introduced in 2002. However, current studies only capture snapshots in time, precluding the ability to consider seizure network development. Over the past few years, multiwell microelectrode arrays have been increasingly used to study neuronal networks in vitro. As such, we sought to develop a novel in vitro MEA seizure model to allow for study of seizure networks. Specifically, we used 4-aminopyridine (4-AP) to capture hyperexcitable activity, and then show increased network changes after 2 days of chronic treatment. We characterize network changes using functional connectivity measures and a novel technique using dimensionality reduction. We find that 4-AP successfully captures persistently elevated mean firing rate and significant changes in underlying connectivity patterns. We believe this affords a robust in vitro seizure model from which longitudinal network changes can be studied, laying groundwork for future studies exploring seizure network development.
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Affiliation(s)
- Ujwal Boddeti
- Surgical Neurology Branch, NINDS, National Institutes of Health, Baltimore, MD, United States
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Jenna Langbein
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Darrian McAfee
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Marcelle Altshuler
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, United States
| | - Muzna Bachani
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Hitten P Zaveri
- Department of Neurology, Yale University, New Haven, CT, United States
| | - Dennis Spencer
- Department of Neurosurgery, Yale University, New Haven, CT, United States
| | - Kareem A Zaghloul
- Surgical Neurology Branch, NINDS, National Institutes of Health, Baltimore, MD, United States
| | - Alexander Ksendzovsky
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, United States
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Lendemeijer B, Unkel M, Smeenk H, Mossink B, Hijazi S, Gordillo-Sampedro S, Shpak G, Slump DE, van den Hout MCGN, van IJcken WFJ, Bindels EMJ, Hoogendijk WJG, Nadif Kasri N, de Vrij FMS, Kushner SA. Human Pluripotent Stem Cell-Derived Astrocyte Functionality Compares Favorably with Primary Rat Astrocytes. eNeuro 2024; 11:ENEURO.0148-24.2024. [PMID: 39227152 PMCID: PMC11404293 DOI: 10.1523/eneuro.0148-24.2024] [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: 04/03/2024] [Revised: 08/08/2024] [Accepted: 08/19/2024] [Indexed: 09/05/2024] Open
Abstract
Astrocytes are essential for the formation and maintenance of neural networks. However, a major technical challenge for investigating astrocyte function and disease-related pathophysiology has been the limited ability to obtain functional human astrocytes. Despite recent advances in human pluripotent stem cell (hPSC) techniques, primary rodent astrocytes remain the gold standard in coculture with human neurons. We demonstrate that a combination of leukemia inhibitory factor (LIF) and bone morphogenetic protein-4 (BMP4) directs hPSC-derived neural precursor cells to a highly pure population of astroglia in 28 d. Using single-cell RNA sequencing, we confirm the astroglial identity of these cells and highlight profound transcriptional adaptations in cocultured hPSC-derived astrocytes and neurons, consistent with their further maturation. In coculture with human neurons, multielectrode array recordings revealed robust network activity of human neurons in a coculture with hPSC-derived or rat astrocytes [3.63 ± 0.44 min-1 (hPSC-derived), 2.86 ± 0.64 min-1 (rat); p = 0.19]. In comparison, we found increased spike frequency within network bursts of human neurons cocultured with hPSC-derived astrocytes [56.31 ± 8.56 Hz (hPSC-derived), 24.77 ± 4.04 Hz (rat); p < 0.01], and whole-cell patch-clamp recordings revealed an increase of postsynaptic currents [2.76 ± 0.39 Hz (hPSC-derived), 1.07 ± 0.14 Hz (rat); p < 0.001], consistent with a corresponding increase in synapse density [14.90 ± 1.27/100 μm2 (hPSC-derived), 8.39 ± 0.63/100 μm2 (rat); p < 0.001]. Taken together, we show that hPSC-derived astrocytes compare favorably with rat astrocytes in supporting human neural network activity and maturation, providing a fully human platform for investigating astrocyte function and neuronal-glial interactions.
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Affiliation(s)
- Bas Lendemeijer
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam 3015 AA, The Netherlands
- Department of Psychiatry, Columbia University, New York, New York 10027
- Stavros Niarchos Foundation (SNF) Center for Precision Psychiatry & Mental Health, Columbia University, New York, New York 10027
| | - Maurits Unkel
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam 3015 AA, The Netherlands
| | - Hilde Smeenk
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam 3015 AA, The Netherlands
| | - Britt Mossink
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Sara Hijazi
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam 3015 AA, The Netherlands
| | - Sara Gordillo-Sampedro
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam 3015 AA, The Netherlands
| | - Guy Shpak
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam 3015 AA, The Netherlands
| | - Denise E Slump
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam 3015 AA, The Netherlands
| | - Mirjam C G N van den Hout
- Department of Cell Biology, Center for Biomics, Erasmus University Medical Center, Rotterdam 3015AA, The Netherlands
| | - Wilfred F J van IJcken
- Department of Cell Biology, Center for Biomics, Erasmus University Medical Center, Rotterdam 3015AA, The Netherlands
| | - Eric M J Bindels
- Department of Hematology, Erasmus University Medical Center, Rotterdam 3015AA, The Netherlands
| | - Witte J G Hoogendijk
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam 3015 AA, The Netherlands
| | - Nael Nadif Kasri
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Femke M S de Vrij
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam 3015 AA, The Netherlands
- ENCORE Expertise Center for Neurodevelopmental Disorders, Erasmus University Medical Center, Rotterdam 3015AA, The Netherlands
| | - Steven A Kushner
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam 3015 AA, The Netherlands
- Department of Psychiatry, Columbia University, New York, New York 10027
- Stavros Niarchos Foundation (SNF) Center for Precision Psychiatry & Mental Health, Columbia University, New York, New York 10027
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6
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Heuvelmans AM, Proietti Onori M, Frega M, de Hoogen JD, Nel E, Elgersma Y, van Woerden GM. Modeling mTORopathy-related epilepsy in cultured murine hippocampal neurons using the multi-electrode array. Exp Neurol 2024; 379:114874. [PMID: 38914275 DOI: 10.1016/j.expneurol.2024.114874] [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: 04/24/2024] [Revised: 06/13/2024] [Accepted: 06/19/2024] [Indexed: 06/26/2024]
Abstract
The mechanistic target of rapamycin complex 1 (mTORC1) signaling pathway is a ubiquitous cellular pathway. mTORopathies, a group of disorders characterized by hyperactivity of the mTORC1 pathway, illustrate the prominent role of the mTOR pathway in disease pathology, often profoundly affecting the central nervous system. One of the most debilitating symptoms of mTORopathies is drug-resistant epilepsy, emphasizing the urgent need for a deeper understanding of disease mechanisms to develop novel anti-epileptic drugs. In this study, we explored the multiwell Multi-electrode array (MEA) system as a tool to identify robust network activity parameters in an approach to model mTORopathy-related epilepsy in vitro. To this extent, we cultured mouse primary hippocampal neurons on the multiwell MEA to identify robust network activity phenotypes in mTORC1-hyperactive neuronal networks. mTOR-hyperactivity was induced either through deletion of Tsc1 or overexpression of a constitutively active RHEB variant identified in patients, RHEBp.P37L. mTORC1 dependency of the phenotypes was assessed using rapamycin, and vigabatrin was applied to treat epilepsy-like phenotypes. We show that hyperactivity of the mTORC1 pathway leads to aberrant network activity. In both the Tsc1-KO and RHEB-p.P37L models, we identified changes in network synchronicity, rhythmicity, and burst characteristics. The presence of these phenotypes is prevented upon early treatment with the mTORC1-inhibitor rapamycin. Application of rapamycin in mature neuronal cultures could only partially rescue the network activity phenotypes. Additionally, treatment with the anti-epileptic drug vigabatrin reduced network activity and restored burst characteristics. Taken together, we showed that mTORC1-hyperactive neuronal cultures on the multiwell MEA system present reliable network activity phenotypes that can be used as an assay to explore the potency of new drug treatments targeting epilepsy in mTORopathy patients and may give more insights into the pathophysiological mechanisms underlying epilepsy in these patients.
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Affiliation(s)
- Anouk M Heuvelmans
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam 3015 CN, the Netherlands; The ENCORE Expertise Center for Neurodevelopmental Disorders, Rotterdam 3015 CN, the Netherlands.
| | - Martina Proietti Onori
- The ENCORE Expertise Center for Neurodevelopmental Disorders, Rotterdam 3015 CN, the Netherlands; Department of Neuroscience, Erasmus Medical Center, Rotterdam 3015 CN, the Netherlands
| | - Monica Frega
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, the Netherlands
| | - Jeffrey D de Hoogen
- Department of Neuroscience, Erasmus Medical Center, Rotterdam 3015 CN, the Netherlands
| | - Eveline Nel
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam 3015 CN, the Netherlands
| | - Ype Elgersma
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam 3015 CN, the Netherlands; The ENCORE Expertise Center for Neurodevelopmental Disorders, Rotterdam 3015 CN, the Netherlands
| | - Geeske M van Woerden
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam 3015 CN, the Netherlands; The ENCORE Expertise Center for Neurodevelopmental Disorders, Rotterdam 3015 CN, the Netherlands; Department of Neuroscience, Erasmus Medical Center, Rotterdam 3015 CN, the Netherlands.
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7
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Wang L, Yang Z, Satoshi F, Prasanna X, Yan Z, Vihinen H, Chen Y, Zhao Y, He X, Bu Q, Li H, Zhao Y, Jiang L, Qin F, Dai Y, Zhang N, Qin M, Kuang W, Zhao Y, Jokitalo E, Vattulainen I, Kajander T, Zhao H, Cen X. Membrane remodeling by FAM92A1 during brain development regulates neuronal morphology, synaptic function, and cognition. Nat Commun 2024; 15:6209. [PMID: 39043703 PMCID: PMC11266426 DOI: 10.1038/s41467-024-50565-w] [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: 09/18/2023] [Accepted: 07/12/2024] [Indexed: 07/25/2024] Open
Abstract
The Bin/Amphiphysin/Rvs (BAR) domain protein FAM92A1 is a multifunctional protein engaged in regulating mitochondrial ultrastructure and ciliogenesis, but its physiological role in the brain remains unclear. Here, we show that FAM92A1 is expressed in neurons starting from embryonic development. FAM92A1 knockout in mice results in altered brain morphology and age-associated cognitive deficits, potentially due to neuronal degeneration and disrupted synaptic plasticity. Specifically, FAM92A1 deficiency impairs diverse neuronal membrane morphology, including the mitochondrial inner membrane, myelin sheath, and synapses, indicating its roles in membrane remodeling and maintenance. By determining the crystal structure of the FAM92A1 BAR domain, combined with atomistic molecular dynamics simulations, we uncover that FAM92A1 interacts with phosphoinositide- and cardiolipin-containing membranes to induce lipid-clustering and membrane curvature. Altogether, these findings reveal the physiological role of FAM92A1 in the brain, highlighting its impact on synaptic plasticity and neural function through the regulation of membrane remodeling and endocytic processes.
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Affiliation(s)
- Liang Wang
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
- Faculty of Biological and Environmental Sciences, University of Helsinki, 00014, Helsinki, Finland
| | - Ziyun Yang
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Fudo Satoshi
- Helsinki Institute of Life Science - Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Xavier Prasanna
- Department of Physics, University of Helsinki, Helsinki, Finland
| | - Ziyi Yan
- Faculty of Biological and Environmental Sciences, University of Helsinki, 00014, Helsinki, Finland
| | - Helena Vihinen
- Helsinki Institute of Life Science (HiLIFE) - Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Yaxing Chen
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Yue Zhao
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Xiumei He
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
- School of Life Sciences, Guangxi Normal University, Guilin, China
- Guangxi Universities Key Laboratory of Stem Cell and Biopharmaceutical Technology, Guangxi Normal University, Guilin, 541004, China
| | - Qian Bu
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Hongchun Li
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Ying Zhao
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Linhong Jiang
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Feng Qin
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Yanping Dai
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Ni Zhang
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Meng Qin
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Weihong Kuang
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Yinglan Zhao
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Eija Jokitalo
- Helsinki Institute of Life Science (HiLIFE) - Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Ilpo Vattulainen
- Department of Physics, University of Helsinki, Helsinki, Finland
| | - Tommi Kajander
- Helsinki Institute of Life Science - Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Hongxia Zhao
- Faculty of Biological and Environmental Sciences, University of Helsinki, 00014, Helsinki, Finland.
- School of Life Sciences, Guangxi Normal University, Guilin, China.
- Guangxi Universities Key Laboratory of Stem Cell and Biopharmaceutical Technology, Guangxi Normal University, Guilin, 541004, China.
| | - Xiaobo Cen
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China.
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Räsänen N, Tiihonen J, Koskuvi M, Lehtonen Š, Jalkanen N, Karmila N, Weert I, Vaurio O, Ojansuu I, Lähteenvuo M, Pietiläinen O, Koistinaho J. Astrocytes Regulate Neuronal Network Burst Frequency Through NMDA Receptors in a Species- and Donor-Specific Manner. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:100313. [PMID: 38706704 PMCID: PMC11067005 DOI: 10.1016/j.bpsgos.2024.100313] [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: 02/15/2024] [Revised: 03/03/2024] [Accepted: 03/25/2024] [Indexed: 05/07/2024] Open
Abstract
Background Development of synaptic activity is a key neuronal characteristic that relies largely on interactions between neurons and astrocytes. Although astrocytes have known roles in regulating synaptic function and malfunction, the use of human- or donor-specific astrocytes in disease models is still rare. Rodent astrocytes are routinely used to enhance neuronal activity in cell cultures, but less is known about how human astrocytes influence neuronal activity. Methods We established human induced pluripotent stem cell-derived neuron-astrocyte cocultures and studied their functional development on microelectrode array. We used cell lines from 5 neurotypical control individuals and 3 pairs of monozygotic twins discordant for schizophrenia. A method combining NGN2 overexpression and dual SMAD inhibition was used for neuronal differentiation. The neurons were cocultured with human induced pluripotent stem cell-derived astrocytes differentiated from 6-month-old astrospheres or rat astrocytes. Results We found that the human induced pluripotent stem cell-derived cocultures developed complex network bursting activity similar to neuronal cocultures with rat astrocytes. However, the effect of NMDA receptors on neuronal network burst frequency (NBF) differed between cocultures containing human or rat astrocytes. By using cocultures derived from patients with schizophrenia and unaffected individuals, we found lowered NBF in the affected cells. We continued by demonstrating how astrocytes from an unaffected individual rescued the lowered NBF in the affected neurons by increasing NMDA receptor activity. Conclusions Our results indicate that astrocytes participate in the regulation of neuronal NBF through a mechanism that involves NMDA receptors. These findings shed light on the importance of using human and donor-specific astrocytes in disease modeling.
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Affiliation(s)
- Noora Räsänen
- Neuroscience Center, University of Helsinki, Helsinki, Finland
| | - Jari Tiihonen
- Neuroscience Center, University of Helsinki, Helsinki, Finland
- Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatric Research, Stockholm City Council, Stockholm, Sweden
- AI Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
| | - Marja Koskuvi
- Neuroscience Center, University of Helsinki, Helsinki, Finland
- Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatric Research, Stockholm City Council, Stockholm, Sweden
- AI Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Šárka Lehtonen
- Neuroscience Center, University of Helsinki, Helsinki, Finland
- AI Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Nelli Jalkanen
- Neuroscience Center, University of Helsinki, Helsinki, Finland
| | - Nelli Karmila
- Neuroscience Center, University of Helsinki, Helsinki, Finland
| | - Isabelle Weert
- Neuroscience Center, University of Helsinki, Helsinki, Finland
| | - Olli Vaurio
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
| | - Ilkka Ojansuu
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
| | | | - Jari Koistinaho
- Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Drug Research Program, Division of Pharmacology and Pharmacotherapy, University of Helsinki, FI, Helsinki, Finland
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9
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Lemieux MR, Freigassner B, Hanson JL, Thathey Z, Opp MR, Hoeffer CA, Link CD. Multielectrode array characterization of human induced pluripotent stem cell derived neurons in co-culture with primary human astrocytes. PLoS One 2024; 19:e0303901. [PMID: 38917115 PMCID: PMC11198861 DOI: 10.1371/journal.pone.0303901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 05/02/2024] [Indexed: 06/27/2024] Open
Abstract
Human induced pluripotent stem cells (hiPSCs) derived into neurons offer a powerful in vitro model to study cellular processes. One method to characterize functional network properties of these cells is using multielectrode arrays (MEAs). MEAs can measure the electrophysiological activity of cellular cultures for extended periods of time without disruption. Here we used WTC11 hiPSCs with a doxycycline-inducible neurogenin 2 (NGN2) transgene differentiated into neurons co-cultured with primary human astrocytes. We achieved a synchrony index ∼0.9 in as little as six-weeks with a mean firing rate of ∼13 Hz. Previous reports show that derived 3D brain organoids can take several months to achieve similar strong network burst synchrony. We also used this co-culture to model aspects of blood-brain barrier breakdown by using human serum. Our fully human co-culture achieved strong network burst synchrony in a fraction of the time of previous reports, making it an excellent first pass, high-throughput method for studying network properties and neurodegenerative diseases.
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Affiliation(s)
- Maddie R. Lemieux
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Bernhard Freigassner
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Jessica L. Hanson
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States of America
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Zahra Thathey
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Mark R. Opp
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Charles A. Hoeffer
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States of America
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Christopher D. Link
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States of America
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10
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Sit TPH, Feord RC, Dunn AWE, Chabros J, Oluigbo D, Smith HH, Burn L, Chang E, Boschi A, Yuan Y, Gibbons GM, Khayat-Khoei M, De Angelis F, Hemberg E, Hemberg M, Lancaster MA, Lakatos A, Eglen SJ, Paulsen O, Mierau SB. MEA-NAP compares microscale functional connectivity, topology, and network dynamics in organoid or monolayer neuronal cultures. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.05.578738. [PMID: 38370637 PMCID: PMC10871179 DOI: 10.1101/2024.02.05.578738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Microelectrode array (MEA) recordings are commonly used to compare firing and burst rates in neuronal cultures. MEA recordings can also reveal microscale functional connectivity, topology, and network dynamics-patterns seen in brain networks across spatial scales. Network topology is frequently characterized in neuroimaging with graph theoretical metrics. However, few computational tools exist for analyzing microscale functional brain networks from MEA recordings. Here, we present a MATLAB MEA network analysis pipeline (MEA-NAP) for raw voltage time-series acquired from single- or multi-well MEAs. Applications to 3D human cerebral organoids or 2D human-derived or murine cultures reveal differences in network development, including topology, node cartography, and dimensionality. MEA-NAP incorporates multi-unit template-based spike detection, probabilistic thresholding for determining significant functional connections, and normalization techniques for comparing networks. MEA-NAP can identify network-level effects of pharmacologic perturbation and/or disease-causing mutations and, thus, can provide a translational platform for revealing mechanistic insights and screening new therapeutic approaches.
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Affiliation(s)
- Timothy PH Sit
- Physiology, Development & Neuroscience, University of Cambridge, Cambridge, UK
- Sainsbury Wellcome Centre, University College London, London, UK
| | - Rachael C Feord
- Physiology, Development & Neuroscience, University of Cambridge, Cambridge, UK
| | - Alexander WE Dunn
- Physiology, Development & Neuroscience, University of Cambridge, Cambridge, UK
| | - Jeremi Chabros
- Physiology, Development & Neuroscience, University of Cambridge, Cambridge, UK
| | - David Oluigbo
- Department of Neurology, Brigham & Women’s Hospital, Boston, MA, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hugo H Smith
- Physiology, Development & Neuroscience, University of Cambridge, Cambridge, UK
| | - Lance Burn
- Physiology, Development & Neuroscience, University of Cambridge, Cambridge, UK
| | - Elise Chang
- Physiology, Development & Neuroscience, University of Cambridge, Cambridge, UK
| | - Alessio Boschi
- Department of Neurology, Brigham & Women’s Hospital, Boston, MA, USA
- Istituto Italiano di Tecnologia, Genoa, Italy
| | - Yin Yuan
- Physiology, Development & Neuroscience, University of Cambridge, Cambridge, UK
| | - George M Gibbons
- Physiology, Development & Neuroscience, University of Cambridge, Cambridge, UK
- John van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | | | | | - Erik Hemberg
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Martin Hemberg
- Gene Lay Institute for Immunology and Inflammation, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | | | - Andras Lakatos
- John van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals, Cambridge Biomedical Campus, Cambridge, UK
| | - Stephen J Eglen
- Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK
| | - Ole Paulsen
- Physiology, Development & Neuroscience, University of Cambridge, Cambridge, UK
| | - Susanna B Mierau
- Physiology, Development & Neuroscience, University of Cambridge, Cambridge, UK
- Department of Neurology, Brigham & Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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11
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Cerina M, Levers M, Keller JM, Frega M. Neuroprotective role of lactate in a human in vitro model of the ischemic penumbra. Sci Rep 2024; 14:7973. [PMID: 38575687 PMCID: PMC10994928 DOI: 10.1038/s41598-024-58669-5] [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: 11/21/2023] [Accepted: 04/02/2024] [Indexed: 04/06/2024] Open
Abstract
In patients suffering from cerebral ischemic stroke, there is an urgent need for treatments to protect stressed yet viable brain cells. Recently, treatment strategies that induce neuronal activity have been shown to be neuroprotective. Here, we hypothesized that neuronal activation might maintain or trigger the astrocyte-to-neuron lactate shuttle (ANLS), whereby lactate is released from astrocytes to support the energy requirements of ATP-starved hypoxic neurons, and this leads to the observed neuroprotection. We tested this by using a human cell based in vitro model of the ischemic penumbra and investigating whether lactate might be neuroprotective in this setting. We found that lactate transporters are involved in the neuroprotective effect mediated by neuronal activation. Furthermore, we showed that lactate exogenously administered before hypoxia correlated with neuroprotection in our cellular model. In addition, stimulation of astrocyte with consequent endogenous production of lactate resulted in neuroprotection. To conclude, here we presented evidence that lactate transport into neurons contributes to neuroprotection during hypoxia providing a potential basis for therapeutic approaches in ischemic stroke.
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Affiliation(s)
- Marta Cerina
- Department of Clinical Neurophysiology, University of Twente, 7522 NB, Enschede, The Netherlands
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, piazza della Scienza 2, 20126, Milan, Italy
| | - Marloes Levers
- Department of Clinical Neurophysiology, University of Twente, 7522 NB, Enschede, The Netherlands
| | - Jason M Keller
- Department of Human Genetics, Radboudumc, Donders Institute for Brain, Cognition, and Behaviour, 6500 HB, Nijmegen, The Netherlands
| | - Monica Frega
- Department of Clinical Neurophysiology, University of Twente, 7522 NB, Enschede, The Netherlands.
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12
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Radenkovic S, Budhraja R, Klein-Gunnewiek T, King AT, Bhatia TN, Ligezka AN, Driesen K, Shah R, Ghesquière B, Pandey A, Kasri NN, Sloan SA, Morava E, Kozicz T. Neural and metabolic dysregulation in PMM2-deficient human in vitro neural models. Cell Rep 2024; 43:113883. [PMID: 38430517 DOI: 10.1016/j.celrep.2024.113883] [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: 08/25/2023] [Revised: 01/18/2024] [Accepted: 02/13/2024] [Indexed: 03/04/2024] Open
Abstract
Phosphomannomutase 2-congenital disorder of glycosylation (PMM2-CDG) is a rare inborn error of metabolism caused by deficiency of the PMM2 enzyme, which leads to impaired protein glycosylation. While the disorder presents with primarily neurological symptoms, there is limited knowledge about the specific brain-related changes caused by PMM2 deficiency. Here, we demonstrate aberrant neural activity in 2D neuronal networks from PMM2-CDG individuals. Utilizing multi-omics datasets from 3D human cortical organoids (hCOs) derived from PMM2-CDG individuals, we identify widespread decreases in protein glycosylation, highlighting impaired glycosylation as a key pathological feature of PMM2-CDG, as well as impaired mitochondrial structure and abnormal glucose metabolism in PMM2-deficient hCOs, indicating disturbances in energy metabolism. Correlation between PMM2 enzymatic activity in hCOs and symptom severity suggests that the level of PMM2 enzyme function directly influences neurological manifestations. These findings enhance our understanding of specific brain-related perturbations associated with PMM2-CDG, offering insights into the underlying mechanisms and potential directions for therapeutic interventions.
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Affiliation(s)
- Silvia Radenkovic
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA
| | - Rohit Budhraja
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Teun Klein-Gunnewiek
- Department of Human Genetics, Radboud University Medical Centre, 6525 XZ Nijmegen, the Netherlands
| | - Alexia Tyler King
- Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | - Tarun N Bhatia
- Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | - Anna N Ligezka
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA
| | - Karen Driesen
- Metabolomics Expertise Center, VIB-KU Leuven, 3000 Leuven, Belgium
| | - Rameen Shah
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA; Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
| | - Bart Ghesquière
- Metabolomics Expertise Center, VIB-KU Leuven, 3000 Leuven, Belgium; Laboratory of Applied Mass Spectrometry, KU Leuven, 3000 Leuven, Belgium
| | - Akhilesh Pandey
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA; Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India
| | - Nael Nadif Kasri
- Department of Human Genetics, Radboud University Medical Centre, 6525 XZ Nijmegen, the Netherlands
| | - Steven A Sloan
- Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | - Eva Morava
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA; Department of Biophysics, University of Pécs Medical School, 7624 Pécs, Hungary; Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Tamas Kozicz
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA; Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA; Department of Anatomy, University of Pécs Medical School, 7624 Pécs, Hungary; Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA.
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13
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Lemieux MR, Freigassner B, Thathey Z, Opp MR, Hoeffer CA, Link CD. Multielectrode array characterization of human induced pluripotent stem cell derived neurons in co-culture with primary human astrocytes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.04.583341. [PMID: 38496655 PMCID: PMC10942372 DOI: 10.1101/2024.03.04.583341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Human induced pluripotent stem cells (hiPSCs) derived into neurons offer a powerful in vitro model to study cellular processes. One method to characterize functional network properties of these cells is using multielectrode arrays (MEAs). MEAs can measure the electrophysiological activity of cellular cultures for extended periods of time without disruption. Here we used WTC11 hiPSCs with a doxycycline-inducible neurogenin 2 (NGN2) transgene differentiated into neurons co-cultured with primary human astrocytes. We achieved a synchrony index ~0.9 in as little as six-weeks with a mean firing rate of ~13 Hz. Previous reports show that derived 3D brain organoids can take several months to achieve similar strong network burst synchrony. We also used this co-culture to model aspects of sporadic Alzheimer's disease by mimicking blood-brain barrier breakdown using a human serum. Our fully human co-culture achieved strong network burst synchrony in a fraction of the time of previous reports, making it an excellent first pass, high-throughput method for studying network properties and neurodegenerative diseases.
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Affiliation(s)
- Maddie R Lemieux
- Department of Integrative Physiology, University of Colorado Boulder
| | | | - Zahra Thathey
- Department of Integrative Physiology, University of Colorado Boulder
| | - Mark R Opp
- Department of Integrative Physiology, University of Colorado Boulder
| | - Charles A Hoeffer
- Department of Integrative Physiology, University of Colorado Boulder
- Institute for Behavioral Genetics, University of Colorado Boulder
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14
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Parodi G, Zanini G, Chiappalone M, Martinoia S. Electrical and chemical modulation of homogeneous and heterogeneous human-iPSCs-derived neuronal networks on high density arrays. Front Mol Neurosci 2024; 17:1304507. [PMID: 38380114 PMCID: PMC10877635 DOI: 10.3389/fnmol.2024.1304507] [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: 09/29/2023] [Accepted: 01/15/2024] [Indexed: 02/22/2024] Open
Abstract
The delicate "Excitatory/Inhibitory balance" between neurons holds significance in neurodegenerative and neurodevelopmental diseases. With the ultimate goal of creating a faithful in vitro model of the human brain, in this study, we investigated the critical factor of heterogeneity, focusing on the interplay between excitatory glutamatergic (E) and inhibitory GABAergic (I) neurons in neural networks. We used high-density Micro-Electrode Arrays (MEA) with 2304 recording electrodes to investigate two neuronal culture configurations: 100% glutamatergic (100E) and 75% glutamatergic / 25% GABAergic (75E25I) neurons. This allowed us to comprehensively characterize the spontaneous electrophysiological activity exhibited by mature cultures at 56 Days in vitro, a time point in which the GABA shift has already occurred. We explored the impact of heterogeneity also through electrical stimulation, revealing that the 100E configuration responded reliably, while the 75E25I required more parameter tuning for improved responses. Chemical stimulation with BIC showed an increase in terms of firing and bursting activity only in the 75E25I condition, while APV and CNQX induced significant alterations on both dynamics and functional connectivity. Our findings advance understanding of diverse neuron interactions and their role in network activity, offering insights for potential therapeutic interventions in neurological conditions. Overall, this work contributes to the development of a valuable human-based in vitro system for studying physiological and pathological conditions, emphasizing the pivotal role of neuron diversity in neural network dynamics.
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Affiliation(s)
| | | | | | - Sergio Martinoia
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genoa, Italy
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15
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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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16
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Beltran AS. Novel Approaches to Studying SLC13A5 Disease. Metabolites 2024; 14:84. [PMID: 38392976 PMCID: PMC10890222 DOI: 10.3390/metabo14020084] [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: 11/18/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 02/25/2024] Open
Abstract
The role of the sodium citrate transporter (NaCT) SLC13A5 is multifaceted and context-dependent. While aberrant dysfunction leads to neonatal epilepsy, its therapeutic inhibition protects against metabolic disease. Notably, insights regarding the cellular and molecular mechanisms underlying these phenomena are limited due to the intricacy and complexity of the latent human physiology, which is poorly captured by existing animal models. This review explores innovative technologies aimed at bridging such a knowledge gap. First, I provide an overview of SLC13A5 variants in the context of human disease and the specific cell types where the expression of the transporter has been observed. Next, I discuss current technologies for generating patient-specific induced pluripotent stem cells (iPSCs) and their inherent advantages and limitations, followed by a summary of the methods for differentiating iPSCs into neurons, hepatocytes, and organoids. Finally, I explore the relevance of these cellular models as platforms for delving into the intricate molecular and cellular mechanisms underlying SLC13A5-related disorders.
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Affiliation(s)
- Adriana S Beltran
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
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17
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Voogd EJHF, Doorn N, Levers MR, Hofmeijer J, Frega M. Degree of differentiation impacts neurobiological signature and resistance to hypoxia of SH-SY5Y cells. J Neural Eng 2024; 20:066038. [PMID: 38128130 DOI: 10.1088/1741-2552/ad17f3] [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: 06/01/2023] [Accepted: 12/21/2023] [Indexed: 12/23/2023]
Abstract
Objective.SH-SY5Y cells are valuable neuronalin vitromodels for studying patho-mechanisms and treatment targets in brain disorders due to their easy maintenance, rapid expansion, and low costs. However, the use of various degrees of differentiation hampers appreciation of results and may limit the translation of findings to neurons or the brain. Here, we studied the neurobiological signatures of SH-SY5Y cells in terms of morphology, expression of neuronal markers, and functionality at various degrees of differentiation, as well as their resistance to hypoxia. We compared these to neurons derived from human induced pluripotent stem cells (hiPSCs), a well-characterized neuronalin vitromodel.Approach.We cultured SH-SY5Y cells and neurons derived from hiPSCs on glass coverslips or micro-electrode arrays. We studied expression of mature neuronal markers, electrophysiological activity, and sensitivity to hypoxia at various degrees of differentiation (one day up to three weeks) in SH-SY5Y cells. We used hiPSC derived neurons as a reference.Main results.Undifferentiated and shortly differentiated SH-SY5Y cells lacked neuronal characteristics. Expression of neuronal markers and formation of synaptic puncta increased during differentiation. Longer differentiation was associated with lower resistance to hypoxia. At three weeks of differentiation, MAP2 expression and vulnerability to hypoxia were similar to hiPSC-derived neurons, while the number of synaptic puncta and detected events were significantly lower. Our results show that at least three weeks of differentiation are necessary to obtain neurobiological signatures that are comparable to those of hiPSC-derived neurons, as well as similar sensitivities to metabolic stress. Significance.This indicates that extended differentiation protocols should be used to study neuronal characteristics and to model brain disorders with SH-SY5Y cells. We provided insights that may offer the basis for the utilization of SH-SY5Y cells as a more relevant neuronal model in the study of brain disorders.
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Affiliation(s)
- E J H F Voogd
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands
| | - N Doorn
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands
| | - M R Levers
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands
| | - J Hofmeijer
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands
- Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
| | - M Frega
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands
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18
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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: 1] [Impact Index Per Article: 1.0] [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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19
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van Hugte EJH, Lewerissa EI, Wu KM, Scheefhals N, Parodi G, van Voorst TW, Puvogel S, Kogo N, Keller JM, Frega M, Schubert D, Schelhaas HJ, Verhoeven J, Majoie M, van Bokhoven H, Nadif Kasri N. SCN1A-deficient excitatory neuronal networks display mutation-specific phenotypes. Brain 2023; 146:5153-5167. [PMID: 37467479 PMCID: PMC10689919 DOI: 10.1093/brain/awad245] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 06/21/2023] [Accepted: 07/03/2023] [Indexed: 07/21/2023] Open
Abstract
Dravet syndrome is a severe epileptic encephalopathy, characterized by (febrile) seizures, behavioural problems and developmental delay. Eighty per cent of patients with Dravet syndrome have a mutation in SCN1A, encoding Nav1.1. Milder clinical phenotypes, such as GEFS+ (generalized epilepsy with febrile seizures plus), can also arise from SCN1A mutations. Predicting the clinical phenotypic outcome based on the type of mutation remains challenging, even when the same mutation is inherited within one family. This clinical and genetic heterogeneity adds to the difficulties of predicting disease progression and tailoring the prescription of anti-seizure medication. Understanding the neuropathology of different SCN1A mutations may help to predict the expected clinical phenotypes and inform the selection of best-fit treatments. Initially, the loss of Na+-current in inhibitory neurons was recognized specifically to result in disinhibition and consequently seizure generation. However, the extent to which excitatory neurons contribute to the pathophysiology is currently debated and might depend on the patient clinical phenotype or the specific SCN1A mutation. To examine the genotype-phenotype correlations of SCN1A mutations in relation to excitatory neurons, we investigated a panel of patient-derived excitatory neuronal networks differentiated on multi-electrode arrays. We included patients with different clinical phenotypes, harbouring various SCN1A mutations, along with a family in which the same mutation led to febrile seizures, GEFS+ or Dravet syndrome. We hitherto describe a previously unidentified functional excitatory neuronal network phenotype in the context of epilepsy, which corresponds to seizurogenic network prediction patterns elicited by proconvulsive compounds. We found that excitatory neuronal networks were affected differently, depending on the type of SCN1A mutation, but did not segregate according to clinical severity. Specifically, loss-of-function mutations could be distinguished from missense mutations, and mutations in the pore domain could be distinguished from mutations in the voltage sensing domain. Furthermore, all patients showed aggravated neuronal network responses at febrile temperatures compared with controls. Finally, retrospective drug screening revealed that anti-seizure medication affected GEFS+ patient- but not Dravet patient-derived neuronal networks in a patient-specific and clinically relevant manner. In conclusion, our results indicate a mutation-specific excitatory neuronal network phenotype, which recapitulates the foremost clinically relevant features, providing future opportunities for precision therapies.
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Affiliation(s)
- Eline J H van Hugte
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behaviour, 6500 HB Nijmegen, The Netherlands
- Department of Epileptology, ACE Kempenhaeghe, 5591 VE Heeze, The Netherlands
| | - Elly I Lewerissa
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behaviour, 6500 HB Nijmegen, The Netherlands
| | - Ka Man Wu
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, The Netherlands
| | - Nicky Scheefhals
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, The Netherlands
| | - Giulia Parodi
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, 16145 GE Genova, Italy
| | - Torben W van Voorst
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behaviour, 6500 HB Nijmegen, The Netherlands
| | - Sofia Puvogel
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, The Netherlands
| | - Naoki Kogo
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behaviour, 6500 HB Nijmegen, The Netherlands
| | - Jason M Keller
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behaviour, 6500 HB Nijmegen, The Netherlands
| | - Monica Frega
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, The Netherlands
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands
| | - Dirk Schubert
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behaviour, 6500 HB Nijmegen, The Netherlands
| | - Helenius J Schelhaas
- Department of Neurology, Stichting Epilepsie Instellingen Nederland (SEIN), 2103 SW Heemstede, The Netherlands
| | - Judith Verhoeven
- Department of Epileptology, ACE Kempenhaeghe, 5591 VE Heeze, The Netherlands
| | - Marian Majoie
- Department of Epileptology, ACE Kempenhaeghe, 5591 VE Heeze, The Netherlands
| | - Hans van Bokhoven
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behaviour, 6500 HB Nijmegen, The Netherlands
| | - Nael Nadif Kasri
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behaviour, 6500 HB Nijmegen, The Netherlands
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20
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Yuan X, Puvogel S, van Rhijn JR, Ciptasari U, Esteve-Codina A, Meijer M, Rouschop S, van Hugte EJH, Oudakker A, Schoenmaker C, Frega M, Schubert D, Franke B, Nadif Kasri N. A human in vitro neuronal model for studying homeostatic plasticity at the network level. Stem Cell Reports 2023; 18:2222-2239. [PMID: 37863044 PMCID: PMC10679660 DOI: 10.1016/j.stemcr.2023.09.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 10/22/2023] Open
Abstract
Mechanisms that underlie homeostatic plasticity have been extensively investigated at single-cell levels in animal models, but are less well understood at the network level. Here, we used microelectrode arrays to characterize neuronal networks following induction of homeostatic plasticity in human induced pluripotent stem cell (hiPSC)-derived glutamatergic neurons co-cultured with rat astrocytes. Chronic suppression of neuronal activity through tetrodotoxin (TTX) elicited a time-dependent network re-arrangement. Increased expression of AMPA receptors and the elongation of axon initial segments were associated with increased network excitability following TTX treatment. Transcriptomic profiling of TTX-treated neurons revealed up-regulated genes related to extracellular matrix organization, while down-regulated genes related to cell communication; also astrocytic gene expression was found altered. Overall, our study shows that hiPSC-derived neuronal networks provide a reliable in vitro platform to measure and characterize homeostatic plasticity at network and single-cell levels; this platform can be extended to investigate altered homeostatic plasticity in brain disorders.
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Affiliation(s)
- Xiuming Yuan
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Sofía Puvogel
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Jon-Ruben van Rhijn
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Ummi Ciptasari
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Anna Esteve-Codina
- CNAG-CRG, Centre for Genomic Regulation, Barcelona Institute of Science and Technology, 08028 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain
| | - Mandy Meijer
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Simon Rouschop
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Eline J H van Hugte
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Astrid Oudakker
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Chantal Schoenmaker
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Monica Frega
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, the Netherlands
| | - Dirk Schubert
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Nael Nadif Kasri
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands.
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21
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Lam D, Enright HA, Cadena J, George VK, Soscia DA, Tooker AC, Triplett M, Peters SKG, Karande P, Ladd A, Bogguri C, Wheeler EK, Fischer NO. Spatiotemporal analysis of 3D human iPSC-derived neural networks using a 3D multi-electrode array. Front Cell Neurosci 2023; 17:1287089. [PMID: 38026689 PMCID: PMC10679684 DOI: 10.3389/fncel.2023.1287089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/19/2023] [Indexed: 12/01/2023] Open
Abstract
While there is a growing appreciation of three-dimensional (3D) neural tissues (i.e., hydrogel-based, organoids, and spheroids), shown to improve cellular health and network activity to mirror brain-like activity in vivo, functional assessment using current electrophysiology techniques (e.g., planar multi-electrode arrays or patch clamp) has been technically challenging and limited to surface measurements at the bottom or top of the 3D tissue. As next-generation MEAs, specifically 3D MEAs, are being developed to increase the spatial precision across all three dimensions (X, Y, Z), development of improved computational analytical tools to discern region-specific changes within the Z dimension of the 3D tissue is needed. In the present study, we introduce a novel computational analytical pipeline to analyze 3D neural network activity recorded from a "bottom-up" 3D MEA integrated with a 3D hydrogel-based tissue containing human iPSC-derived neurons and primary astrocytes. Over a period of ~6.5 weeks, we describe the development and maturation of 3D neural activity (i.e., features of spiking and bursting activity) within cross sections of the 3D tissue, based on the vertical position of the electrode on the 3D MEA probe, in addition to network activity (identified using synchrony analysis) within and between cross sections. Then, using the sequential addition of postsynaptic receptor antagonists, bicuculline (BIC), 2-amino-5-phosphonovaleric acid (AP-5), and 6-cyano-5-nitroquinoxaline-2,3-dione (CNQX), we demonstrate that networks within and between cross sections of the 3D hydrogel-based tissue show a preference for GABA and/or glutamate synaptic transmission, suggesting differences in the network composition throughout the neural tissue. The ability to monitor the functional dynamics of the entire 3D reconstructed neural tissue is a critical bottleneck; here we demonstrate a computational pipeline that can be implemented in studies to better interpret network activity within an engineered 3D neural tissue and have a better understanding of the modeled organ tissue.
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Affiliation(s)
- Doris Lam
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Heather A. Enright
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Jose Cadena
- Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Vivek Kurien George
- Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - David A. Soscia
- Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Angela C. Tooker
- Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Michael Triplett
- Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Sandra K. G. Peters
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Piyush Karande
- Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Alexander Ladd
- Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Chandrakumar Bogguri
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Elizabeth K. Wheeler
- Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Nicholas O. Fischer
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
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22
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Duru J, Maurer B, Giles Doran C, Jelitto R, Küchler J, Ihle SJ, Ruff T, John R, Genocchi B, Vörös J. Investigation of the input-output relationship of engineered neural networks using high-density microelectrode arrays. Biosens Bioelectron 2023; 239:115591. [PMID: 37634421 DOI: 10.1016/j.bios.2023.115591] [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: 03/09/2023] [Revised: 07/25/2023] [Accepted: 08/10/2023] [Indexed: 08/29/2023]
Abstract
Bottom-up neuroscience utilizes small, engineered biological neural networks to study neuronal activity in systems of reduced complexity. We present a platform that establishes up to six independent networks formed by primary rat neurons on planar complementary metal-oxide-semiconductor (CMOS) microelectrode arrays (MEAs). We introduce an approach that allows repetitive stimulation and recording of network activity at any of the over 700 electrodes underlying a network. We demonstrate that the continuous application of a repetitive super-threshold stimulus yields a reproducible network answer within a 15 ms post-stimulus window. This response can be tracked with high spatiotemporal resolution across the whole extent of the network. Moreover, we show that the location of the stimulation plays a significant role in the networks' early response to the stimulus. By applying a stimulation pattern to all network-underlying electrodes in sequence, the sensitivity of the whole network to the stimulus can be visualized. We demonstrate that microchannels reduce the voltage stimulation threshold and induce the strongest network response. By varying the stimulation amplitude and frequency we reveal discrete network transition points. Finally, we introduce vector fields to follow stimulation-induced spike propagation pathways within the network. Overall we show that our defined neural networks on CMOS MEAs enable us to elicit highly reproducible activity patterns that can be precisely modulated by stimulation amplitude, stimulation frequency and the site of stimulation.
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Affiliation(s)
- Jens Duru
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland.
| | - Benedikt Maurer
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland.
| | - Ciara Giles Doran
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland.
| | - Robert Jelitto
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland.
| | - Joël Küchler
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland.
| | - Stephan J Ihle
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland.
| | - Tobias Ruff
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland.
| | - Robert John
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland.
| | - Barbara Genocchi
- Computational Biophysics and Imaging Group, Tampere University, Arvo Ylpön katu 34, Tampere, 33520, Finland.
| | - János Vörös
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland.
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23
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Mijdam R, Bijnagte-Schoenmaker C, Dyke E, Moons SJ, Boltje TJ, Nadif Kasri N, Lefeber DJ. Sialic acid biosynthesis pathway blockade disturbs neuronal network formation in human iPSC-derived excitatory neurons. J Neurochem 2023; 167:76-89. [PMID: 37650222 DOI: 10.1111/jnc.15934] [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: 12/14/2022] [Revised: 07/26/2023] [Accepted: 07/31/2023] [Indexed: 09/01/2023]
Abstract
N-acetylneuraminic acid (sialic acid) is present in large quantities in the brain and plays a crucial role in brain development, learning, and memory formation. How sialic acid contributes to brain development is not fully understood. The purpose of this study was to determine the effects of reduced sialylation on network formation in human iPSC-derived neurons (iNeurons). Using targeted mass spectrometry and antibody binding, we observed an increase in free sialic acid and polysialic acid during neuronal development, which was disrupted by treatment of iNeurons with a synthetic inhibitor of sialic acid biosynthesis. Sialic acid inhibition disturbed synapse formation and network formation on microelectrode array (MEA), showing short but frequent (network) bursts and an overall lower firing rate, and higher percentage of random spikes. This study shows that sialic acid is necessary for neuronal network formation during human neuronal development and provides a physiologically relevant model to study the role of sialic acid in patient-derived iNeurons.
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Affiliation(s)
- Rachel Mijdam
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
| | - Chantal Bijnagte-Schoenmaker
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
| | - Emma Dyke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
| | - Sam J Moons
- Synvenio B.V. Mercator 2, Nijmegen, the Netherlands
| | - Thomas J Boltje
- Synthetic Organic Chemistry, Institute for Molecules and Materials, Radboud University, Nijmegen, the Netherlands
| | - Nael Nadif Kasri
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
| | - Dirk J Lefeber
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboudumc, Nijmegen, the Netherlands
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24
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Voogd EJHF, Frega M, Hofmeijer J. Neuronal Responses to Ischemia: Scoping Review of Insights from Human-Derived In Vitro Models. Cell Mol Neurobiol 2023; 43:3137-3160. [PMID: 37380886 PMCID: PMC10477161 DOI: 10.1007/s10571-023-01368-y] [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: 03/21/2023] [Accepted: 05/27/2023] [Indexed: 06/30/2023]
Abstract
Translation of neuroprotective treatment effects from experimental animal models to patients with cerebral ischemia has been challenging. Since pathophysiological processes may vary across species, an experimental model to clarify human-specific neuronal pathomechanisms may help. We conducted a scoping review of the literature on human neuronal in vitro models that have been used to study neuronal responses to ischemia or hypoxia, the parts of the pathophysiological cascade that have been investigated in those models, and evidence on effects of interventions. We included 147 studies on four different human neuronal models. The majority of the studies (132/147) was conducted in SH-SY5Y cells, which is a cancerous cell line derived from a single neuroblastoma patient. Of these, 119/132 used undifferentiated SH-SY5Y cells, that lack many neuronal characteristics. Two studies used healthy human induced pluripotent stem cell derived neuronal networks. Most studies used microscopic measures and established hypoxia induced cell death, oxidative stress, or inflammation. Only one study investigated the effect of hypoxia on neuronal network functionality using micro-electrode arrays. Treatment targets included oxidative stress, inflammation, cell death, and neuronal network stimulation. We discuss (dis)advantages of the various model systems and propose future perspectives for research into human neuronal responses to ischemia or hypoxia.
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Affiliation(s)
- Eva J H F Voogd
- Clinical Neurophysiology, University of Twente, Enschede, The Netherlands.
| | - Monica Frega
- Clinical Neurophysiology, University of Twente, Enschede, The Netherlands
| | - Jeannette Hofmeijer
- Clinical Neurophysiology, University of Twente, Enschede, The Netherlands
- Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
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25
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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: 2] [Impact Index Per Article: 2.0] [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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26
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Kim S, Jeon J, Ganbat D, Kim T, Shin K, Hong S, Hong J. Alteration of Neural Network and Hippocampal Slice Activation through Exosomes Derived from 5XFAD Nasal Lavage Fluid. Int J Mol Sci 2023; 24:14064. [PMID: 37762366 PMCID: PMC10531257 DOI: 10.3390/ijms241814064] [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: 08/09/2023] [Revised: 08/31/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
Exosomes, key mediators of intercellular transmission of pathogenic proteins, such as amyloid-beta and tau, significantly influence the progression and exacerbation of Alzheimer's disease (AD) pathology. Present in a variety of biological fluids, including cerebrospinal fluid, blood, saliva, and nasal lavage fluid (NLF), exosomes underscore their potential as integral mediators of AD pathology. By serving as vehicles for disease-specific molecules, exosomes could unveil valuable insights into disease identification and progression. This study emphasizes the imperative to investigate the impacts of exosomes on neural networks to enhance our comprehension of intracerebral neuronal communication and its implications for neurological disorders like AD. After harvesting exosomes derived from NLF of 5XFAD mice, we utilized a high-density multielectrode array (HD-MEA) system, the novel technology enabling concurrent recordings from thousands of neurons in primary cortical neuron cultures and organotypic hippocampal slices. The ensuing results revealed a surge in neuronal firing rates and disoriented neural connectivity, reflecting the effects provoked by pathological amyloid-beta oligomer treatment. The local field potentials in the exosome-treated hippocampal brain slices also exhibited aberrant rhythmicity, along with an elevated level of current source density. While this research is an initial exploration, it highlights the potential of exosomes in modulating neural networks under AD conditions and endorses the HD-MEA as an efficacious tool for exosome studies.
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Affiliation(s)
- Sangseong Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Jaekyong Jeon
- Department of Pharmacy, Hanyang University, Ansan 15588, Republic of Korea; (J.J.); (D.G.)
| | - Dulguun Ganbat
- Department of Pharmacy, Hanyang University, Ansan 15588, Republic of Korea; (J.J.); (D.G.)
| | - Taewoon Kim
- Department of Bionanotechnology, Graduate School, Hanyang University, Seoul 04763, Republic of Korea; (T.K.); (K.S.)
| | - Kyusoon Shin
- Department of Bionanotechnology, Graduate School, Hanyang University, Seoul 04763, Republic of Korea; (T.K.); (K.S.)
| | - Sungho Hong
- Computational Neuroscience Unit, Okinawa Institute of Science and Technology, Okinawa 904-0495, Japan;
| | - Jongwook Hong
- Department of Bionanotechnology, Graduate School, Hanyang University, Seoul 04763, Republic of Korea; (T.K.); (K.S.)
- Department of Medical and Digital Engineering, Graduate School, Hanyang University, Seoul 04763, Republic of Korea
- Department of Bionanoengineering, Hanyang University, Ansan 15588, Republic of Korea
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27
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Doorn N, van Hugte EJH, Ciptasari U, Mordelt A, Meijer HGE, Schubert D, Frega M, Nadif Kasri N, van Putten MJAM. An in silico and in vitro human neuronal network model reveals cellular mechanisms beyond Na V1.1 underlying Dravet syndrome. Stem Cell Reports 2023; 18:1686-1700. [PMID: 37419110 PMCID: PMC10444571 DOI: 10.1016/j.stemcr.2023.06.003] [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: 01/10/2023] [Revised: 06/07/2023] [Accepted: 06/07/2023] [Indexed: 07/09/2023] Open
Abstract
Human induced pluripotent stem cell (hiPSC)-derived neuronal networks on multi-electrode arrays (MEAs) provide a unique phenotyping tool to study neurological disorders. However, it is difficult to infer cellular mechanisms underlying these phenotypes. Computational modeling can utilize the rich dataset generated by MEAs, and advance understanding of disease mechanisms. However, existing models lack biophysical detail, or validation and calibration to relevant experimental data. We developed a biophysical in silico model that accurately simulates healthy neuronal networks on MEAs. To demonstrate the potential of our model, we studied neuronal networks derived from a Dravet syndrome (DS) patient with a missense mutation in SCN1A, encoding sodium channel NaV1.1. Our in silico model revealed that sodium channel dysfunctions were insufficient to replicate the in vitro DS phenotype, and predicted decreased slow afterhyperpolarization and synaptic strengths. We verified these changes in DS patient-derived neurons, demonstrating the utility of our in silico model to predict disease mechanisms.
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Affiliation(s)
- Nina Doorn
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, the Netherlands.
| | - Eline J H van Hugte
- Department of Neurology, Academic Center for Epileptology Kempenhaeghe, 5591 VE Heeze, the Netherlands; Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, the Netherlands; Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands
| | - Ummi Ciptasari
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, the Netherlands; Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands
| | - Annika Mordelt
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, the Netherlands; Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands
| | - Hil G E Meijer
- Department of Applied Mathematics, University of Twente, 7522 NB Enschede, the Netherlands
| | - Dirk Schubert
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, the Netherlands; Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands
| | - Monica Frega
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, the Netherlands
| | - Nael Nadif Kasri
- Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, the Netherlands; Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands
| | - Michel J A M van Putten
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, the Netherlands; Department of Neurology and Clinical Neurophysiology, Medisch Spectrum Twente, 7512 KZ Enschede, the Netherlands
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28
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Teunissen MWA, Lewerissa E, van Hugte EJH, Wang S, Ockeloen CW, Koolen DA, Pfundt R, Marcelis CLM, Brilstra E, Howe JL, Scherer SW, Le Guillou X, Bilan F, Primiano M, Roohi J, Piton A, de Saint Martin A, Baer S, Seiffert S, Platzer K, Jamra RA, Syrbe S, Doering JH, Lakhani S, Nangia S, Gilissen C, Vermeulen RJ, Rouhl RPW, Brunner HG, Willemsen MH, Nadif Kasri N. ANK2 loss-of-function variants are associated with epilepsy, and lead to impaired axon initial segment plasticity and hyperactive network activity in hiPSC-derived neuronal networks. Hum Mol Genet 2023; 32:2373-2385. [PMID: 37195288 PMCID: PMC10321384 DOI: 10.1093/hmg/ddad081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 04/21/2023] [Accepted: 05/09/2023] [Indexed: 05/18/2023] Open
Abstract
PURPOSE To characterize a novel neurodevelopmental syndrome due to loss-of-function (LoF) variants in Ankyrin 2 (ANK2), and to explore the effects on neuronal network dynamics and homeostatic plasticity in human-induced pluripotent stem cell-derived neurons. METHODS We collected clinical and molecular data of 12 individuals with heterozygous de novo LoF variants in ANK2. We generated a heterozygous LoF allele of ANK2 using CRISPR/Cas9 in human-induced pluripotent stem cells (hiPSCs). HiPSCs were differentiated into excitatory neurons, and we measured their spontaneous electrophysiological responses using micro-electrode arrays (MEAs). We also characterized their somatodendritic morphology and axon initial segment (AIS) structure and plasticity. RESULTS We found a broad neurodevelopmental disorder (NDD), comprising intellectual disability, autism spectrum disorders and early onset epilepsy. Using MEAs, we found that hiPSC-derived neurons with heterozygous LoF of ANK2 show a hyperactive and desynchronized neuronal network. ANK2-deficient neurons also showed increased somatodendritic structures and altered AIS structure of which its plasticity is impaired upon activity-dependent modulation. CONCLUSIONS Phenotypic characterization of patients with de novo ANK2 LoF variants defines a novel NDD with early onset epilepsy. Our functional in vitro data of ANK2-deficient human neurons show a specific neuronal phenotype in which reduced ANKB expression leads to hyperactive and desynchronized neuronal network activity, increased somatodendritic complexity and AIS structure and impaired activity-dependent plasticity of the AIS.
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Affiliation(s)
- Maria W A Teunissen
- Department of Neurology, Maastricht University Medical Center, Maastricht, HX 6229, The Netherlands
- Academic Center for Epileptology Kempenhaeghe/Maastricht University Medical Center, Heeze 5591 VE, The Netherlands
| | - Elly Lewerissa
- Department of Human Genetics, Radboudumc, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, HB 6500, the Netherlands
| | - Eline J H van Hugte
- Department of Human Genetics, Radboudumc, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, HB 6500, the Netherlands
| | - Shan Wang
- Department of Human Genetics, Radboudumc, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, HB 6500, the Netherlands
| | - Charlotte W Ockeloen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, GA 6525, the Netherlands
| | - David A Koolen
- Department of Human Genetics, Radboudumc, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, HB 6500, the Netherlands
| | - Rolph Pfundt
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, GA 6525, the Netherlands
| | - Carlo L M Marcelis
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, GA 6525, the Netherlands
| | - Eva Brilstra
- Department of Human Genetics, University Medical Center Utrecht, Utrecht, CX 3584, The Netherlands
| | - Jennifer L Howe
- The Centre for Applied Genomics and Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Stephen W Scherer
- The Centre for Applied Genomics and Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- McLaughlin Centre and Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 3H7, Canada
| | - Xavier Le Guillou
- Department of Medical Genetics, Centre Hospitalier Universitaire de Poitiers, Poitiers 86000, France
| | - Frédéric Bilan
- Department of Medical Genetics, Centre Hospitalier Universitaire de Poitiers, Poitiers 86000, France
- Laboratory of Experimental and Clinical Neurosciences University of Poitiers, INSERM U1084, Poitiers 86000, France
| | - Michelle Primiano
- Department of Clinical Genetics, Morgan Stanley Children’s Hospital of New York-Presbytarian, New York, NY, 10032, USA
| | - Jasmin Roohi
- Department of Clinical Genetics, Morgan Stanley Children’s Hospital of New York-Presbytarian, New York, NY, 10032, USA
- Clinical Genetics, Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, MD 20852, USA
| | - Amelie Piton
- Laboratoire de Diagnostic Génétique, Institut de Génétique Médicale d’Alsace (IGMA), Hôspitaux Universitaire de Strasbourg, Strasbourg, BP 426 67091, France
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch 67400, France
| | - Anne de Saint Martin
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch 67400, France
- Department of Pediatric Neurology, Strasbourg University Hospital, Hôspital de Hautepierre, Strasbourg, BP 426 67091, France
| | - Sarah Baer
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch 67400, France
- Department of Pediatric Neurology, Strasbourg University Hospital, Hôspital de Hautepierre, Strasbourg, BP 426 67091, France
| | - Simone Seiffert
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, Tuebingen, 72076, Germany
| | - Konrad Platzer
- Institute of Human Genetics, University Medical Center Leipzig, Leipzig 04103, Germany
| | - Rami Abou Jamra
- Institute of Human Genetics, University Medical Center Leipzig, Leipzig 04103, Germany
| | - Steffen Syrbe
- Division of Paediatric Epileptology, Centre for Paediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg 69120, Germany
| | - Jan H Doering
- Division of Paediatric Epileptology, Centre for Paediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg 69120, Germany
| | - Shenela Lakhani
- Department of neurogenetics, Weill Cornell Medicine, Brain and Mind Research Institute, New York, NY, 10065, USA
| | - Srishti Nangia
- Department of Pediatrics, Division of Child Neurology, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10032, USA
| | - Christian Gilissen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, GA 6525, the Netherlands
| | - R Jeroen Vermeulen
- Department of Neurology, Maastricht University Medical Center, Maastricht, HX 6229, The Netherlands
| | - Rob P W Rouhl
- Department of Neurology, Maastricht University Medical Center, Maastricht, HX 6229, The Netherlands
- Academic Center for Epileptology Kempenhaeghe/Maastricht University Medical Center, Heeze 5591 VE, The Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, MD 6200, the Netherlands
| | - Han G Brunner
- Academic Center for Epileptology Kempenhaeghe/Maastricht University Medical Center, Heeze 5591 VE, The Netherlands
- Department of Human Genetics, Radboudumc, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, HB 6500, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, MD 6200, the Netherlands
- Department of Clinical Genetics and GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, MD 6299, the Netherlands
| | - Marjolein H Willemsen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, GA 6525, the Netherlands
| | - Nael Nadif Kasri
- Department of Human Genetics, Radboudumc, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, HB 6500, the Netherlands
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Pastore VP, Parodi G, Brofiga M, Massobrio P, Chiappalone M, Odone F, Martinoia S. An efficient deep learning approach to identify dynamics in in vitro neural networks. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38083487 DOI: 10.1109/embc40787.2023.10340862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Understanding and discriminating the spatiotemporal patterns of activity generated by in vitro and in vivo neuronal networks is a fundamental task in neuroscience and neuroengineering. The state-of-the-art algorithms to describe the neuronal activity mostly rely on global and local well-established spike and burst-related parameters. However, they are not able to capture slight differences in the activity patterns. In this work, we introduce a deep-learning-based algorithm to automatically infer the dynamics exhibited by different neuronal populations. Specifically, we demonstrate that our algorithm is able to discriminate with high accuracy the dynamics of five different populations of in vitro human-derived neural networks with an increasing inhibitory to excitatory neurons ratio.
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30
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Guo Y, Shen M, Dong Q, Méndez-Albelo NM, Huang SX, Sirois CL, Le J, Li M, Jarzembowski ED, Schoeller KA, Stockton ME, Horner VL, Sousa AMM, Gao Y, Levine JE, Wang D, Chang Q, Zhao X. Elevated levels of FMRP-target MAP1B impair human and mouse neuronal development and mouse social behaviors via autophagy pathway. Nat Commun 2023; 14:3801. [PMID: 37365192 PMCID: PMC10293283 DOI: 10.1038/s41467-023-39337-0] [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: 10/11/2022] [Accepted: 06/05/2023] [Indexed: 06/28/2023] Open
Abstract
Fragile X messenger ribonucleoprotein 1 protein (FMRP) binds many mRNA targets in the brain. The contribution of these targets to fragile X syndrome (FXS) and related autism spectrum disorder (ASD) remains unclear. Here, we show that FMRP deficiency leads to elevated microtubule-associated protein 1B (MAP1B) in developing human and non-human primate cortical neurons. Targeted MAP1B gene activation in healthy human neurons or MAP1B gene triplication in ASD patient-derived neurons inhibit morphological and physiological maturation. Activation of Map1b in adult male mouse prefrontal cortex excitatory neurons impairs social behaviors. We show that elevated MAP1B sequesters components of autophagy and reduces autophagosome formation. Both MAP1B knockdown and autophagy activation rescue deficits of both ASD and FXS patients' neurons and FMRP-deficient neurons in ex vivo human brain tissue. Our study demonstrates conserved FMRP regulation of MAP1B in primate neurons and establishes a causal link between MAP1B elevation and deficits of FXS and ASD.
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Affiliation(s)
- Yu Guo
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Minjie Shen
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Qiping Dong
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Natasha M Méndez-Albelo
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Sabrina X Huang
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Carissa L Sirois
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Jonathan Le
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Meng Li
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Ezra D Jarzembowski
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Keegan A Schoeller
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Michael E Stockton
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Vanessa L Horner
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Wisconsin State Laboratory of Hygiene, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - André M M Sousa
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Yu Gao
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Jon E Levine
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI, 53715, USA
| | - Daifeng Wang
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Departments of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Qiang Chang
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Medical Genetics, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neurology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Xinyu Zhao
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA.
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA.
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31
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Aydogmus H, Hu M, Ivancevic L, Frimat JP, van den Maagdenberg AMJM, Sarro PM, Mastrangeli M. An organ-on-chip device with integrated charge sensors and recording microelectrodes. Sci Rep 2023; 13:8062. [PMID: 37202451 DOI: 10.1038/s41598-023-34786-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 05/08/2023] [Indexed: 05/20/2023] Open
Abstract
Continuous monitoring of tissue microphysiology is a key enabling feature of the organ-on-chip (OoC) approach for in vitro drug screening and disease modeling. Integrated sensing units are particularly convenient for microenvironmental monitoring. However, sensitive in vitro and real-time measurements are challenging due to the inherently small size of OoC devices, the characteristics of commonly used materials, and external hardware setups required to support the sensing units. Here we propose a silicon-polymer hybrid OoC device that encompasses transparency and biocompatibility of polymers at the sensing area, and has the inherently superior electrical characteristics and ability to house active electronics of silicon. This multi-modal device includes two sensing units. The first unit consists of a floating-gate field-effect transistor (FG-FET), which is used to monitor changes in pH in the sensing area. The threshold voltage of the FG-FET is regulated by a capacitively-coupled gate and by the changes in charge concentration in close proximity to the extension of the floating gate, which functions as the sensing electrode. The second unit uses the extension of the FG as microelectrode, in order to monitor the action potential of electrically active cells. The layout of the chip and its packaging are compatible with multi-electrode array measurement setups, which are commonly used in electrophysiology labs. The multi-functional sensing is demonstrated by monitoring the growth of induced pluripotent stem cell-derived cortical neurons. Our multi-modal sensor is a milestone in combined monitoring of different, physiologically-relevant parameters on the same device for future OoC platforms.
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Affiliation(s)
- Hande Aydogmus
- ECTM, Department of Microelectronics, Delft University of Technology, Delft, 2628 CD, The Netherlands.
| | - Michel Hu
- Department of Human Genetics, Leiden University Medical Centre, 2333 ZC, Leiden, The Netherlands
- Department of Neurology, Leiden University Medical Centre, 2333 ZC, Leiden, The Netherlands
| | - Lovro Ivancevic
- ECTM, Department of Microelectronics, Delft University of Technology, Delft, 2628 CD, The Netherlands
| | - Jean-Philippe Frimat
- Department of Human Genetics, Leiden University Medical Centre, 2333 ZC, Leiden, The Netherlands
- Department of Neurology, Leiden University Medical Centre, 2333 ZC, Leiden, The Netherlands
| | - Arn M J M van den Maagdenberg
- Department of Human Genetics, Leiden University Medical Centre, 2333 ZC, Leiden, The Netherlands
- Department of Neurology, Leiden University Medical Centre, 2333 ZC, Leiden, The Netherlands
| | - Pasqualina M Sarro
- ECTM, Department of Microelectronics, Delft University of Technology, Delft, 2628 CD, The Netherlands
| | - Massimo Mastrangeli
- ECTM, Department of Microelectronics, Delft University of Technology, Delft, 2628 CD, The Netherlands
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32
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Girardin S, Ihle SJ, Menghini A, Krubner M, Tognola L, Duru J, Fruh I, Müller M, Ruff T, Vörös J. Engineering circuits of human iPSC-derived neurons and rat primary glia. Front Neurosci 2023; 17:1103437. [PMID: 37250404 PMCID: PMC10213452 DOI: 10.3389/fnins.2023.1103437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 04/18/2023] [Indexed: 05/31/2023] Open
Abstract
Novel in vitro platforms based on human neurons are needed to improve early drug testing and address the stalling drug discovery in neurological disorders. Topologically controlled circuits of human induced pluripotent stem cell (iPSC)-derived neurons have the potential to become such a testing system. In this work, we build in vitro co-cultured circuits of human iPSC-derived neurons and rat primary glial cells using microfabricated polydimethylsiloxane (PDMS) structures on microelectrode arrays (MEAs). Our PDMS microstructures are designed in the shape of a stomach, which guides axons in one direction and thereby facilitates the unidirectional flow of information. Such circuits are created by seeding either dissociated cells or pre-aggregated spheroids at different neuron-to-glia ratios. Furthermore, an antifouling coating is developed to prevent axonal overgrowth in undesired locations of the microstructure. We assess the electrophysiological properties of different types of circuits over more than 50 days, including their stimulation-induced neural activity. Finally, we demonstrate the inhibitory effect of magnesium chloride on the electrical activity of our iPSC circuits as a proof-of-concept for screening of neuroactive compounds.
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Affiliation(s)
- Sophie Girardin
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, Department of Electrical Engineering and Information Technology, University and ETH Zürich, Zürich, Switzerland
| | - Stephan J. Ihle
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, Department of Electrical Engineering and Information Technology, University and ETH Zürich, Zürich, Switzerland
| | - Arianna Menghini
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, Department of Electrical Engineering and Information Technology, University and ETH Zürich, Zürich, Switzerland
| | - Magdalena Krubner
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, Department of Electrical Engineering and Information Technology, University and ETH Zürich, Zürich, Switzerland
| | - Leonardo Tognola
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, Department of Electrical Engineering and Information Technology, University and ETH Zürich, Zürich, Switzerland
| | - Jens Duru
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, Department of Electrical Engineering and Information Technology, University and ETH Zürich, Zürich, Switzerland
| | - Isabelle Fruh
- Chemical Biology and Therapeutics, Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Matthias Müller
- Chemical Biology and Therapeutics, Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Tobias Ruff
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, Department of Electrical Engineering and Information Technology, University and ETH Zürich, Zürich, Switzerland
| | - János Vörös
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, Department of Electrical Engineering and Information Technology, University and ETH Zürich, Zürich, Switzerland
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33
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Muzzi L, Di Lisa D, Falappa M, Pepe S, Maccione A, Pastorino L, Martinoia S, Frega M. Human-Derived Cortical Neurospheroids Coupled to Passive, High-Density and 3D MEAs: A Valid Platform for Functional Tests. Bioengineering (Basel) 2023; 10:bioengineering10040449. [PMID: 37106636 PMCID: PMC10136157 DOI: 10.3390/bioengineering10040449] [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: 03/03/2023] [Accepted: 03/31/2023] [Indexed: 04/29/2023] Open
Abstract
With the advent of human-induced pluripotent stem cells (hiPSCs) and differentiation protocols, methods to create in-vitro human-derived neuronal networks have been proposed. Although monolayer cultures represent a valid model, adding three-dimensionality (3D) would make them more representative of an in-vivo environment. Thus, human-derived 3D structures are becoming increasingly used for in-vitro disease modeling. Achieving control over the final cell composition and investigating the exhibited electrophysiological activity is still a challenge. Thence, methodologies to create 3D structures with controlled cellular density and composition and platforms capable of measuring and characterizing the functional aspects of these samples are needed. Here, we propose a method to rapidly generate neurospheroids of human origin with control over cell composition that can be used for functional investigations. We show a characterization of the electrophysiological activity exhibited by the neurospheroids by using micro-electrode arrays (MEAs) with different types (i.e., passive, C-MOS, and 3D) and number of electrodes. Neurospheroids grown in free culture and transferred on MEAs exhibited functional activity that can be chemically and electrically modulated. Our results indicate that this model holds great potential for an in-depth study of signal transmission to drug screening and disease modeling and offers a platform for in-vitro functional testing.
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Affiliation(s)
- Lorenzo Muzzi
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genoa, 16145 Genoa, Italy
| | - Donatella Di Lisa
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genoa, 16145 Genoa, Italy
| | - Matteo Falappa
- 3Brain AG, 8808 Pfäffikon, Switzerland
- Corticale Srl., 16145 Genoa, Italy
| | - Sara Pepe
- Department of Experimental Medicine (DIMES), University of Genoa, 16132 Genoa, Italy
| | | | - Laura Pastorino
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genoa, 16145 Genoa, Italy
| | - Sergio Martinoia
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genoa, 16145 Genoa, Italy
| | - Monica Frega
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands
- Department of Human Genetics, Radboudumc, Donders Institute for Brain, Cognition, and Behaviour, 6500 HB Nijmegen, The Netherlands
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34
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Wang S, Hesen R, Mossink B, Nadif Kasri N, Schubert D. Generation of glutamatergic/GABAergic neuronal co-cultures derived from human induced pluripotent stem cells for characterizing E/I balance in vitro. STAR Protoc 2023; 4:101967. [PMID: 36856768 PMCID: PMC9898783 DOI: 10.1016/j.xpro.2022.101967] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/27/2022] [Accepted: 12/07/2022] [Indexed: 01/27/2023] Open
Abstract
Obtaining mechanistic insights into the disruptions of neuronal excitation and inhibition (E/I) balance in brain disorders has remained challenging. Here, we present a protocol for in vitro characterization of E/I balance. Using human induced pluripotent stem cells, we describe the generation of glutamatergic excitatory/GABAergic inhibitory neuronal co-cultures at defined ratios, followed by analyzing E/I network properties using immunocytochemistry and multi-electrode array recording. This approach allows for studying cell-type-specific contribution of disease genes to E/I balance in human neurons. For complete details on the use and execution of this protocol, please refer to Mossink et al. (2022)1 and Wang et al. (2022).2.
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Affiliation(s)
- Shan Wang
- Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands
| | - Rick Hesen
- Department of Human Genetics, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Britt Mossink
- Department of Human Genetics, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Nael Nadif Kasri
- Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands; Department of Human Genetics, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6500 HB Nijmegen, the Netherlands
| | - Dirk Schubert
- Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands.
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35
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Andolfi A, Arnaldi P, Lisa DD, Pepe S, Frega M, Fassio A, Lagazzo A, Martinoia S, Pastorino L. A micropatterned thermoplasmonic substrate for neuromodulation of in vitro neuronal networks. Acta Biomater 2023; 158:281-291. [PMID: 36563774 DOI: 10.1016/j.actbio.2022.12.036] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 12/05/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022]
Abstract
Understanding how the spatial organization of a neural network affects its activity represents a leading issue in neuroscience. Thanks to their accessibility and easy handling, in vitro studies remain an essential tool to investigate the relationship between the structure and function of a neuronal network. Among all the patterning techniques, ink-jet printing acquired great interest thanks to its direct-write approach, which allows the patterned substrate realization without mold, leading to a considerable saving of both cost and time. However, the inks commonly used give the possibility to control only the structure of a neuronal network, leaving aside the functional aspect. In this work, we synthesize a photosensitive ink combining the rheological and bioadhesive properties of chitosan with the plasmonic properties of gold nanorods, obtaining an ink able to control both the spatial organization of a two-dimensional neuronal network and its activity through photothermal effect. After the ink characterization, we demonstrate that it is possible to print, with high precision, different geometries on a microelectrode array. In this way, it is possible obtaining a patterned device to control the structure of a neuronal network, to record its activity and to modulate it via photothermal effect. Finally, to our knowledge, we report the first evidence of photothermal inhibition of human neurons activity. STATEMENT OF SIGNIFICANCE: Patterned cell cultures remain the most efficient and simple tool for linking structural and functional studies, especially in the neuronal field. Ink-jet printing is the technique with which it is possible to realize patterned structures in the fastest, simple, versatile and low-cost way. However, the inks currently used permit the control only of the neuronal network structure but do not allow the control-modulation of the network activity. In this study, we realize and characterize a photosensitive bioink with which it is possible to drive both the structure and the activity of a neuronal network. Moreover, we report the first evidence of activity inhibition by the photothermal effect on human neurons as far as we know.
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Affiliation(s)
- Andrea Andolfi
- Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Genoa, Italy.
| | - Pietro Arnaldi
- Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Genoa, Italy.
| | - Donatella Di Lisa
- Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Genoa, Italy.
| | - Sara Pepe
- Department of Experimental Medicine, University of Genoa, Genoa, Italy.
| | - Monica Frega
- Department of Clinical Neurophysiology, University of Twente, Enschede, the Netherlands.
| | - Anna Fassio
- Department of Experimental Medicine, University of Genoa, Genoa, Italy.
| | - Alberto Lagazzo
- Department of Civil, Chemical and Environmental Engineering (DICCA), University of Genoa, Genoa, Italy.
| | - Sergio Martinoia
- Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Genoa, Italy.
| | - Laura Pastorino
- Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Genoa, Italy.
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Morales Pantoja IE, Smirnova L, Muotri AR, Wahlin KJ, Kahn J, Boyd JL, Gracias DH, Harris TD, Cohen-Karni T, Caffo BS, Szalay AS, Han F, Zack DJ, Etienne-Cummings R, Akwaboah A, Romero JC, Alam El Din DM, Plotkin JD, Paulhamus BL, Johnson EC, Gilbert F, Curley JL, Cappiello B, Schwamborn JC, Hill EJ, Roach P, Tornero D, Krall C, Parri R, Sillé F, Levchenko A, Jabbour RE, Kagan BJ, Berlinicke CA, Huang Q, Maertens A, Herrmann K, Tsaioun K, Dastgheyb R, Habela CW, Vogelstein JT, Hartung T. First Organoid Intelligence (OI) workshop to form an OI community. Front Artif Intell 2023; 6:1116870. [PMID: 36925616 PMCID: PMC10013972 DOI: 10.3389/frai.2023.1116870] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/08/2023] [Indexed: 03/08/2023] Open
Abstract
The brain is arguably the most powerful computation system known. It is extremely efficient in processing large amounts of information and can discern signals from noise, adapt, and filter faulty information all while running on only 20 watts of power. The human brain's processing efficiency, progressive learning, and plasticity are unmatched by any computer system. Recent advances in stem cell technology have elevated the field of cell culture to higher levels of complexity, such as the development of three-dimensional (3D) brain organoids that recapitulate human brain functionality better than traditional monolayer cell systems. Organoid Intelligence (OI) aims to harness the innate biological capabilities of brain organoids for biocomputing and synthetic intelligence by interfacing them with computer technology. With the latest strides in stem cell technology, bioengineering, and machine learning, we can explore the ability of brain organoids to compute, and store given information (input), execute a task (output), and study how this affects the structural and functional connections in the organoids themselves. Furthermore, understanding how learning generates and changes patterns of connectivity in organoids can shed light on the early stages of cognition in the human brain. Investigating and understanding these concepts is an enormous, multidisciplinary endeavor that necessitates the engagement of both the scientific community and the public. Thus, on Feb 22-24 of 2022, the Johns Hopkins University held the first Organoid Intelligence Workshop to form an OI Community and to lay out the groundwork for the establishment of OI as a new scientific discipline. The potential of OI to revolutionize computing, neurological research, and drug development was discussed, along with a vision and roadmap for its development over the coming decade.
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Affiliation(s)
- Itzy E. Morales Pantoja
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Lena Smirnova
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Alysson R. Muotri
- Department of Pediatrics and Cellular and Molecular Medicine, School of Medicine, University of California, San Diego, San Diego, CA, United States
- Center for Academic Research and Training in Anthropogeny (CARTA), Archealization Center (ArchC), Kavli Institute for Brain and Mind, University of California, San Diego, San Diego, CA, United States
| | - Karl J. Wahlin
- Viterbi Family Department of Ophthalmology & the Shiley Eye Institute, UC San Diego, La Jolla, CA, United States
| | - Jeffrey Kahn
- Berman Institute of Bioethics, Johns Hopkins University, Baltimore, MD, United States
| | - J. Lomax Boyd
- Berman Institute of Bioethics, Johns Hopkins University, Baltimore, MD, United States
| | - David H. Gracias
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, United States
- Department of Chemistry, Johns Hopkins University, Baltimore, MD, United States
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, United States
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, United States
- Center for Microphysiological Systems (MPS), Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Oncology and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Timothy D. Harris
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, United States
| | - Tzahi Cohen-Karni
- Departments of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA, United States
| | - Brian S. Caffo
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Alexander S. Szalay
- Department of Computer Science, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
- Department of Physics and Astronomy, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, United States
- Mark Foundation Center for Advanced Genomics and Imaging, Johns Hopkins University, Baltimore, MD, United States
| | - Fang Han
- Department of Statistics and Economics, University of Washington, Seattle, WA, United States
| | - Donald J. Zack
- Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Ralph Etienne-Cummings
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Akwasi Akwaboah
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - July Carolina Romero
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Dowlette-Mary Alam El Din
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Jesse D. Plotkin
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Barton L. Paulhamus
- Department of Research and Exploratory Development, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States
| | - Erik C. Johnson
- Department of Research and Exploratory Development, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States
| | - Frederic Gilbert
- Philosophy Program, School of Humanities, University of Tasmania, Hobart, TAS, Australia
| | | | | | - Jens C. Schwamborn
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Eric J. Hill
- School of Biosciences, College of Health and Life Sciences, Aston University, Birmingham, United Kingdom
| | - Paul Roach
- Department of Chemistry, School of Science, Loughborough University, Loughborough, Leicestershire, United Kingdom
| | - Daniel Tornero
- Department of Biomedical Sciences, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Clinic Hospital August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Caroline Krall
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
- Department of Molecular and Comparative Pathobiology, Johns Hopkins University, Baltimore, MD, United States
| | - Rheinallt Parri
- Aston Pharmacy School, College of Health and Life Sciences, Aston University, Birmingham, United Kingdom
| | - Fenna Sillé
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Andre Levchenko
- Department of Biomedical Engineering, Yale Systems Biology Institute, Yale University, New Haven, CT, United States
| | - Rabih E. Jabbour
- Department of Bioscience and Biotechnology, University of Maryland Global Campus, Rockville, MD, United States
| | | | - Cynthia A. Berlinicke
- Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Qi Huang
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Alexandra Maertens
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Kathrin Herrmann
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Katya Tsaioun
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Raha Dastgheyb
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Christa Whelan Habela
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Joshua T. Vogelstein
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Thomas Hartung
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
- Center for Alternatives to Animal Testing (CAAT)-Europe, University of Konstanz, Konstanz, Germany
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37
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Palmer EE, Pusch M, Picollo A, Forwood C, Nguyen MH, Suckow V, Gibbons J, Hoff A, Sigfrid L, Megarbane A, Nizon M, Cogné B, Beneteau C, Alkuraya FS, Chedrawi A, Hashem MO, Stamberger H, Weckhuysen S, Vanlander A, Ceulemans B, Rajagopalan S, Nunn K, Arpin S, Raynaud M, Motter CS, Ward-Melver C, Janssens K, Meuwissen M, Beysen D, Dikow N, Grimmel M, Haack TB, Clement E, McTague A, Hunt D, Townshend S, Ward M, Richards LJ, Simons C, Costain G, Dupuis L, Mendoza-Londono R, Dudding-Byth T, Boyle J, Saunders C, Fleming E, El Chehadeh S, Spitz MA, Piton A, Gerard B, Abi Warde MT, Rea G, McKenna C, Douzgou S, Banka S, Akman C, Bain JM, Sands TT, Wilson GN, Silvertooth EJ, Miller L, Lederer D, Sachdev R, Macintosh R, Monestier O, Karadurmus D, Collins F, Carter M, Rohena L, Willemsen MH, Ockeloen CW, Pfundt R, Kroft SD, Field M, Laranjeira FER, Fortuna AM, Soares AR, Michaud V, Naudion S, Golla S, Weaver DD, Bird LM, Friedman J, Clowes V, Joss S, Pölsler L, Campeau PM, Blazo M, Bijlsma EK, Rosenfeld JA, Beetz C, Powis Z, McWalter K, Brandt T, Torti E, Mathot M, Mohammad SS, Armstrong R, Kalscheuer VM. Functional and clinical studies reveal pathophysiological complexity of CLCN4-related neurodevelopmental condition. Mol Psychiatry 2023; 28:668-697. [PMID: 36385166 PMCID: PMC9908558 DOI: 10.1038/s41380-022-01852-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 10/10/2022] [Accepted: 10/21/2022] [Indexed: 11/17/2022]
Abstract
Missense and truncating variants in the X-chromosome-linked CLCN4 gene, resulting in reduced or complete loss-of-function (LOF) of the encoded chloride/proton exchanger ClC-4, were recently demonstrated to cause a neurocognitive phenotype in both males and females. Through international clinical matchmaking and interrogation of public variant databases we assembled a database of 90 rare CLCN4 missense variants in 90 families: 41 unique and 18 recurrent variants in 49 families. For 43 families, including 22 males and 33 females, we collated detailed clinical and segregation data. To confirm causality of variants and to obtain insight into disease mechanisms, we investigated the effect on electrophysiological properties of 59 of the variants in Xenopus oocytes using extended voltage and pH ranges. Detailed analyses revealed new pathophysiological mechanisms: 25% (15/59) of variants demonstrated LOF, characterized by a "shift" of the voltage-dependent activation to more positive voltages, and nine variants resulted in a toxic gain-of-function, associated with a disrupted gate allowing inward transport at negative voltages. Functional results were not always in line with in silico pathogenicity scores, highlighting the complexity of pathogenicity assessment for accurate genetic counselling. The complex neurocognitive and psychiatric manifestations of this condition, and hitherto under-recognized impacts on growth, gastrointestinal function, and motor control are discussed. Including published cases, we summarize features in 122 individuals from 67 families with CLCN4-related neurodevelopmental condition and suggest future research directions with the aim of improving the integrated care for individuals with this diagnosis.
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Affiliation(s)
- Elizabeth E Palmer
- Centre for Clinical Genetics, Sydney Children's Hospital Network, Randwick, NSW, Australia.
- Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Randwick, NSW, Australia.
| | | | | | - Caitlin Forwood
- Centre for Clinical Genetics, Sydney Children's Hospital Network, Randwick, NSW, Australia
| | - Matthew H Nguyen
- Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Randwick, NSW, Australia
- Department of Clinical Genetics, Liverpool Hospital, Liverpool, NSW, Australia
| | - Vanessa Suckow
- Max Planck Institute for Molecular Genetics, Group Development and Disease, Berlin, Germany
| | - Jessica Gibbons
- Max Planck Institute for Molecular Genetics, Group Development and Disease, Berlin, Germany
| | - Alva Hoff
- Istituto di Biofisica, CNR, Genova, Italy
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, 581 83, Sweden
| | - Lisa Sigfrid
- Istituto di Biofisica, CNR, Genova, Italy
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, 581 83, Sweden
| | - Andre Megarbane
- Department of Human Genetics, Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Byblos, Lebanon
- Institut Jerome Lejeune, Paris, France
| | - Mathilde Nizon
- Service de Génétique Médicale, CHU de Nantes, Nantes Université, Nantes, France
- Nantes Université, CNRS, INSERM, l'Institut du Thorax, Nantes, France
| | - Benjamin Cogné
- Service de Génétique Médicale, CHU de Nantes, Nantes Université, Nantes, France
- Nantes Université, CNRS, INSERM, l'Institut du Thorax, Nantes, France
| | - Claire Beneteau
- Service de Génétique Médicale, CHU de Nantes, Nantes Université, Nantes, France
| | - Fowzan S Alkuraya
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Aziza Chedrawi
- Department of Neurosciences, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Mais O Hashem
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Hannah Stamberger
- Applied and Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Neurology Department, Antwerp University Hospital, Antwerp, Belgium
| | - Sarah Weckhuysen
- Applied and Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Neurology Department, Antwerp University Hospital, Antwerp, Belgium
- Translational Neurosciences, Faculty of Medicine and Health Science, University of Antwerp, Antwerp, Belgium
| | - Arnaud Vanlander
- Department of Child Neurology & Metabolism, Ghent University Hospital, Ghent, Belgium
| | - Berten Ceulemans
- Department of Pediatric Neurology, Antwerp University Hospital, University of Antwerp, Antwerp, Belgium
| | - Sulekha Rajagopalan
- Department of Clinical Genetics, Liverpool Hospital, Liverpool, NSW, Australia
| | - Kenneth Nunn
- Children's Hospital at Westmead, Sydney Children's Hospitals Network, Sydney, Australia
| | - Stéphanie Arpin
- Service de Génétique Clinique, Centre Hospitalier Régional Universitaire de Tours, Tours, France
| | - Martine Raynaud
- Service de Génétique Clinique, Centre Hospitalier Régional Universitaire de Tours, Tours, France
| | | | | | - Katrien Janssens
- Center of Medical Genetics, University Hospital Antwerp/University of Antwerp, Edegem, Belgium
| | - Marije Meuwissen
- Center of Medical Genetics, University Hospital Antwerp/University of Antwerp, Edegem, Belgium
| | - Diane Beysen
- Department of Pediatric Neurology, University Hospital Antwerp/University of Antwerp, Edegem, Belgium
| | - Nicola Dikow
- Institute of Human Genetics, Heidelberg University, Heidelberg, Germany
| | - Mona Grimmel
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, Germany
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, Germany
| | - Emma Clement
- Department of Clinical Genetics, Great Ormond Street Hospital for Children, London, UK
| | - Amy McTague
- Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, UK
- Department of Neurology, Great Ormond Street Hospital, London, UK
| | - David Hunt
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, UK
| | - Sharron Townshend
- Genetic Services of WA, King Edward Memorial Hospital, Subiaco, WA, Australia
| | - Michelle Ward
- Genetic Services of WA, King Edward Memorial Hospital, Subiaco, WA, Australia
| | - Linda J Richards
- Department of Neuroscience, Washington University in St Louis School of Medicine, St Louis, MI, USA
- The University of Queensland, Queensland Brain Institute, St Lucia, QLD, Australia
| | - Cas Simons
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Australia
- Garvan Institute of Medical Research, UNSW, Sydney, NSW, Australia
| | - Gregory Costain
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Lucie Dupuis
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Roberto Mendoza-Londono
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Tracy Dudding-Byth
- Genetics of Learning Disability Service, Newcastle, NSW, Australia
- University of Newcastle Grow Up Well Priority Research Centre, Newcastle, NSW, Australia
| | - Jackie Boyle
- Genetics of Learning Disability Service, Newcastle, NSW, Australia
| | - Carol Saunders
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital and Clinics, MI, Kansas City, USA
- Kansas City School of Medicine, University of Missouri, Kansas City, MI, USA
| | - Emily Fleming
- Division of Clinical Genetics, Children's Mercy Hospital and Clinics, Kansas City, MI, USA
| | - Salima El Chehadeh
- Service de Génétique Médicale, Institut de Génétique Médicale d'Alsace (IGMA), Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Laboratoire de Génétique Médicale, UMRS_1112, Institut de Génétique Médicale d'Alsace (IGMA), Université de Strasbourg et INSERM, Strasbourg, France
| | - Marie-Aude Spitz
- Service de Pédiatrie, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Amelie Piton
- Laboratoires de Diagnostic Génétique, Institut de Génétique Médicale d'Alsace (IGMA), Hôpitaux Universitaires de Strasbourg, Nouvel Hôpital Civil, Strasbourg, France
| | - Bénédicte Gerard
- Laboratoires de Diagnostic Génétique, Institut de Génétique Médicale d'Alsace (IGMA), Hôpitaux Universitaires de Strasbourg, Nouvel Hôpital Civil, Strasbourg, France
| | - Marie-Thérèse Abi Warde
- Service de Pédiatrie, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Pediatric Neurology Department, CHU de Strasbourg, Strasbourg, France
| | - Gillian Rea
- Northern Ireland Regional Genetics Service, Belfast, Northern Ireland
| | - Caoimhe McKenna
- Northern Ireland Regional Genetics Service, Belfast, Northern Ireland
| | - Sofia Douzgou
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Siddharth Banka
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Manchester Centre for Genomic Medicine, Saint Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Cigdem Akman
- Department of Neurology, Division of Child Neurology, Columbia University Irving Medical Center, New York, USA
| | - Jennifer M Bain
- Department of Neurology, Division of Child Neurology, Columbia University Irving Medical Center, New York, USA
| | - Tristan T Sands
- Department of Neurology, Division of Child Neurology, Columbia University Irving Medical Center, New York, USA
| | - Golder N Wilson
- Texas Tech Health Sciences Center Lubbock and KinderGenome Medical Genetics, Dallas, TX, USA
| | | | | | - Damien Lederer
- Centre de Génétique Humaine, Institut de Pathologie et de Génétique ASBL, Gosselies, Belgium
| | - Rani Sachdev
- Centre for Clinical Genetics, Sydney Children's Hospital Network, Randwick, NSW, Australia
- Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Randwick, NSW, Australia
| | - Rebecca Macintosh
- Centre for Clinical Genetics, Sydney Children's Hospital Network, Randwick, NSW, Australia
- Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Randwick, NSW, Australia
| | - Olivier Monestier
- Centre de Génétique Humaine, Institut de Pathologie et de Génétique ASBL, Gosselies, Belgium
| | - Deniz Karadurmus
- Centre de Génétique Humaine, Institut de Pathologie et de Génétique ASBL, Gosselies, Belgium
| | - Felicity Collins
- Department of Medical Genomics/Clinical Genetics, Royal Prince Alfred Hospital, Camperdown, Sydney, NSW, Australia
| | - Melissa Carter
- Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada
| | - Luis Rohena
- Division of Medical Genetics, Department of Pediatrics, San Antonio Military Medical Center, San Antonio, TX, USA
- Department of Pediatrics, Long School of Medicine-UT Health San Antonio, San Antonio, TX, USA
| | - Marjolein H Willemsen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Charlotte W Ockeloen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rolph Pfundt
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Sanne D Kroft
- Pluryn, Residential Care Setting, Groesbeek, The Netherlands
| | - Michael Field
- Genetics of Learning Disability Service, Newcastle, NSW, Australia
| | - Francisco E R Laranjeira
- Centro de Genética Médica Jacinto Magalhães, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Ana M Fortuna
- Unit for Multidisciplinary Research in Biomedicine, School of Medicine and Biomedical Sciences, Porto University, Porto, Portugal
| | - Ana R Soares
- Unit for Multidisciplinary Research in Biomedicine, School of Medicine and Biomedical Sciences, Porto University, Porto, Portugal
| | - Vincent Michaud
- Service de Génétique Médicale, CHU Bordeaux, Bordeaux, France
- INSERM U1211, Laboratoire Maladies Rares: Génétique et Métabolisme, Bordeaux, Univ., Bordeaux, France
| | - Sophie Naudion
- Service de Génétique Médicale, CHU Bordeaux, Bordeaux, France
| | - Sailaja Golla
- Child Neurology and Neurodevelopmental Medicine Thompson Autism Center, CHOC Hospital, Orange County, CA, USA
| | - David D Weaver
- Indiana University School of Medicine, Indianapolis, USA
| | - Lynne M Bird
- University of California, San Diego, Rady Children's Hospital San Diego, San Diego, CA, USA
| | - Jennifer Friedman
- University of California, San Diego, Rady Children's Hospital San Diego, San Diego, CA, USA
| | - Virginia Clowes
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Harrow, London, UK
- Imperial College London, London, UK
| | - Shelagh Joss
- West of Scotland Centre for Genomic Medicine, Queen Elizabeth University Hospital, Glasgow, UK
| | - Laura Pölsler
- Centrum Medische Genetica, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Philippe M Campeau
- CHU Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada
| | - Maria Blazo
- Division Clinical Genetics Texas A&M University Health Science Center, College Station, TX, USA
| | - Emilia K Bijlsma
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden, The Netherlands
| | - Jill A Rosenfeld
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Baylor Genetics Laboratories, Houston, TX, USA
| | | | - Zöe Powis
- Clinical Genomics, Ambry Genetics, Aliso Viejo, CA, USA
| | | | | | | | | | - Shekeeb S Mohammad
- Children's Hospital at Westmead, Sydney Children's Hospitals Network, Sydney, Australia
- Children's Hospital at Westmead, Sydney Children's Hospitals Network, Sydney, NSW, Australia
| | - Ruth Armstrong
- East Anglian Medical Genetics Service, Clinical Genetics, Addenbrooke's Treatment Centre, Addenbrooke's Hospital, Cambridge, UK
| | - Vera M Kalscheuer
- Max Planck Institute for Molecular Genetics, Group Development and Disease, Berlin, Germany.
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Chear S, Perry S, Wilson R, Bindoff A, Talbot J, Ware TL, Grubman A, Vickers JC, Pébay A, Ruddle JB, King AE, Hewitt AW, Cook AL. Lysosomal alterations and decreased electrophysiological activity in CLN3 disease patient-derived cortical neurons. Dis Model Mech 2022; 15:dmm049651. [PMID: 36453132 PMCID: PMC10655821 DOI: 10.1242/dmm.049651] [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: 05/10/2022] [Accepted: 11/17/2022] [Indexed: 12/02/2022] Open
Abstract
CLN3 disease is a lysosomal storage disorder associated with fatal neurodegeneration that is caused by mutations in CLN3, with most affected individuals carrying at least one allele with a 966 bp deletion. Using CRISPR/Cas9, we corrected the 966 bp deletion mutation in human induced pluripotent stem cells (iPSCs) of a compound heterozygous patient (CLN3 Δ 966 bp and E295K). We differentiated these isogenic iPSCs, and iPSCs from an unrelated healthy control donor, to neurons and identified disease-related changes relating to protein synthesis, trafficking and degradation, and in neuronal activity, which were not apparent in CLN3-corrected or healthy control neurons. CLN3 neurons showed numerous membrane-bound vacuoles containing diverse storage material and hyperglycosylation of the lysosomal LAMP1 protein. Proteomic analysis showed increase in lysosomal-related proteins and many ribosomal subunit proteins in CLN3 neurons, accompanied by downregulation of proteins related to axon guidance and endocytosis. CLN3 neurons also had lower electrophysical activity as recorded using microelectrode arrays. These data implicate inter-related pathways in protein homeostasis and neurite arborization as contributing to CLN3 disease, and which could be potential targets for therapy.
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Affiliation(s)
- Sueanne Chear
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS 7001, Australia
| | - Sharn Perry
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS 7001, Australia
| | - Richard Wilson
- Central Science Laboratory, University of Tasmania, Hobart, TAS 7001, Australia
| | - Aidan Bindoff
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS 7001, Australia
| | - Jana Talbot
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS 7001, Australia
| | - Tyson L. Ware
- Department of Paediatrics, Royal Hobart Hospital, Hobart, TAS 7000, Australia
| | - Alexandra Grubman
- Department of Anatomy and Developmental Biology, Monash University, Clayton, VIC 3800, Australia
| | - James C. Vickers
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS 7001, Australia
| | - Alice Pébay
- Department of Anatomy and Physiology, University of Melbourne, Parkville, VIC 3010, Australia
- Department of Surgery, Royal Melbourne Hospital, University of Melbourne, Parkville, VIC 3010, Australia
| | - Jonathan B. Ruddle
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC 3002, Australia
| | - Anna E. King
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS 7001, Australia
| | - Alex W. Hewitt
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7001, Australia
| | - Anthony L. Cook
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS 7001, Australia
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39
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Mok RSF, Zhang W, Sheikh TI, Pradeepan K, Fernandes IR, DeJong LC, Benigno G, Hildebrandt MR, Mufteev M, Rodrigues DC, Wei W, Piekna A, Liu J, Muotri AR, Vincent JB, Muller L, Martinez-Trujillo J, Salter MW, Ellis J. Wide spectrum of neuronal and network phenotypes in human stem cell-derived excitatory neurons with Rett syndrome-associated MECP2 mutations. Transl Psychiatry 2022; 12:450. [PMID: 36253345 PMCID: PMC9576700 DOI: 10.1038/s41398-022-02216-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/01/2022] [Accepted: 10/03/2022] [Indexed: 11/19/2022] Open
Abstract
Rett syndrome (RTT) is a severe neurodevelopmental disorder primarily caused by heterozygous loss-of-function mutations in the X-linked gene MECP2 that is a global transcriptional regulator. Mutations in the methyl-CpG binding domain (MBD) of MECP2 disrupt its interaction with methylated DNA. Here, we investigate the effect of a novel MECP2 L124W missense mutation in the MBD of an atypical RTT patient with preserved speech in comparison to severe MECP2 null mutations. L124W protein had a limited ability to disrupt heterochromatic chromocenters due to decreased binding dynamics. We isolated two pairs of isogenic WT and L124W induced pluripotent stem cells. L124W induced excitatory neurons expressed stable protein, exhibited increased input resistance and decreased voltage-gated Na+ and K+ currents, and their neuronal dysmorphology was limited to decreased dendritic complexity. Three isogenic pairs of MECP2 null neurons had the expected more extreme morphological and electrophysiological phenotypes. We examined development and maturation of L124W and MECP2 null excitatory neural network activity using micro-electrode arrays. Relative to isogenic controls, L124W neurons had an increase in synchronous network burst frequency, in contrast to MECP2 null neurons that suffered a significant decrease in synchronous network burst frequency and a transient extension of network burst duration. A biologically motivated computational neural network model shows the observed changes in network dynamics are explained by changes in intrinsic Na+ and K+ currents in individual neurons. Our multilevel results demonstrate that RTT excitatory neurons show a wide spectrum of morphological, electrophysiological and circuitry phenotypes that are dependent on the severity of the MECP2 mutation.
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Grants
- R01 MH108528 NIMH NIH HHS
- MOP-133423 CIHR
- R01 MH109885 NIMH NIH HHS
- FDN-154336 CIHR
- R01 MH100175 NIMH NIH HHS
- Col Harland Sanders Rett Syndrome Research Fund at the University of Toronto (to J.E.), SFARI (Research grant #514918 to J.E. and J.M-T), CIHR (MOP-133423 to J.E. and M.W.S.; ERARE Team Grant ERT161303 to J.E.), CIHR foundation grant (FDN-154336 to M.W.S), Ontario Brain Institute (POND Network to J.E.), McLaughlin Centre Accelerator grant (to J.E.), John Evans Leadership Fund & Ontario Research Fund (to J.E), Canada Research Chair in Stem Cell Models of Childhood Disease (to J.E.), Beta Sigma Phi International Endowment Fund (to J.E.).
- BrainsCAN at Western University through the Canada First Research Excellence Fund (CFREF) (to GB, KP, LM, JMT). NSERC Postgraduate Scholarship–Doctoral (PGS-D) Scholarship to KP.
- Trainee support was provided by Restracomp (to LCD).
- National Institutes of Health (NIH) grants # R01MH108528, R01MH109885, and R01MH1000175 to ARM.
- Ontario Rett Syndrome Association to JBV.
- SFARI (Research grant #514918 to J.E. and J.M-T), BrainsCAN at Western University through the Canada First Research Excellence Fund (CFREF) (to GB, KP, LM, JMT)
- CIHR (MOP-133423 to J.E. and M.W.S.; CIHR foundation grant (FDN-154336 to M.W.S),
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Affiliation(s)
- Rebecca S F Mok
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
- Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Wenbo Zhang
- Neurosciences & Mental Health Program, The Hospital for Sick Children, Toronto, M5G 0A4, ON, Canada
| | - Taimoor I Sheikh
- Molecular Neuropsychiatry & Development (MiND) Lab, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, M5T 1R8, Canada
| | - Kartik Pradeepan
- Department of Physiology and Pharmacology, Department of Psychiatry, Neuroscience Graduate Program, Robarts Research and Brain and Mind Institutes, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 5B7, Canada
| | - Isabella R Fernandes
- University of California San Diego, School of Medicine, Department of Pediatrics/Rady Children's Hospital San Diego, Department of Cellular & Molecular Medicine, Stem Cell Program, La Jolla, CA, 92037-0695, USA
| | - Leah C DeJong
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
- Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Gabriel Benigno
- Department of Applied Mathematics, Robarts Research Institute, Brain and Mind Institute, Western University, London, ON, N6A 5B7, Canada
| | - Matthew R Hildebrandt
- Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Marat Mufteev
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
- Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Deivid C Rodrigues
- Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Wei Wei
- Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Alina Piekna
- Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Jiajie Liu
- Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Alysson R Muotri
- University of California San Diego, School of Medicine, Department of Pediatrics/Rady Children's Hospital San Diego, Department of Cellular & Molecular Medicine, Stem Cell Program, La Jolla, CA, 92037-0695, USA
- Department of Pediatrics/Rady Children's Hospital, Department of Cellular & Molecular Medicine, Center for Academic Research and Training in Anthropogeny, Archealization Center, Kavli Institute, University of California San Diego, La Jolla, CA, 92037, USA
| | - John B Vincent
- Molecular Neuropsychiatry & Development (MiND) Lab, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, M5T 1R8, Canada
| | - Lyle Muller
- Department of Applied Mathematics, Robarts Research Institute, Brain and Mind Institute, Western University, London, ON, N6A 5B7, Canada
| | - Julio Martinez-Trujillo
- Department of Physiology and Pharmacology, Department of Psychiatry, Neuroscience Graduate Program, Robarts Research and Brain and Mind Institutes, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 5B7, Canada
| | - Michael W Salter
- Neurosciences & Mental Health Program, The Hospital for Sick Children, Toronto, M5G 0A4, ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - James Ellis
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada.
- Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada.
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40
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Habibey R, Striebel J, Schmieder F, Czarske J, Busskamp V. Long-term morphological and functional dynamics of human stem cell-derived neuronal networks on high-density micro-electrode arrays. Front Neurosci 2022; 16:951964. [PMID: 36267241 PMCID: PMC9578684 DOI: 10.3389/fnins.2022.951964] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/06/2022] [Indexed: 11/13/2022] Open
Abstract
Comprehensive electrophysiological characterizations of human induced pluripotent stem cell (hiPSC)-derived neuronal networks are essential to determine to what extent these in vitro models recapitulate the functional features of in vivo neuronal circuits. High-density micro-electrode arrays (HD-MEAs) offer non-invasive recording with the best spatial and temporal resolution possible to date. For 3 months, we tracked the morphology and activity features of developing networks derived from a transgenic hiPSC line in which neurogenesis is inducible by neurogenic transcription factor overexpression. Our morphological data revealed large-scale structural changes from homogeneously distributed neurons in the first month to the formation of neuronal clusters over time. This led to a constant shift in position of neuronal cells and clusters on HD-MEAs and corresponding changes in spatial distribution of the network activity maps. Network activity appeared as scarce action potentials (APs), evolved as local bursts with longer duration and changed to network-wide synchronized bursts with higher frequencies but shorter duration over time, resembling the emerging burst features found in the developing human brain. Instantaneous firing rate data indicated that the fraction of fast spiking neurons (150–600 Hz) increases sharply after 63 days post induction (dpi). Inhibition of glutamatergic synapses erased burst features from network activity profiles and confirmed the presence of mature excitatory neurotransmission. The application of GABAergic receptor antagonists profoundly changed the bursting profile of the network at 120 dpi. This indicated a GABAergic switch from excitatory to inhibitory neurotransmission during circuit development and maturation. Our results suggested that an emerging GABAergic system at older culture ages is involved in regulating spontaneous network bursts. In conclusion, our data showed that long-term and continuous microscopy and electrophysiology readouts are crucial for a meaningful characterization of morphological and functional maturation in stem cell-derived human networks. Most importantly, assessing the level and duration of functional maturation is key to subject these human neuronal circuits on HD-MEAs for basic and biomedical applications.
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Affiliation(s)
- Rouhollah Habibey
- Department of Ophthalmology, Universitäts-Augenklinik Bonn, University of Bonn, Bonn, Germany
| | - Johannes Striebel
- Department of Ophthalmology, Universitäts-Augenklinik Bonn, University of Bonn, Bonn, Germany
| | - Felix Schmieder
- Laboratory of Measurement and Sensor System Technique, Faculty of Electrical and Computer Engineering, TU Dresden, Dresden, Germany
| | - Jürgen Czarske
- Laboratory of Measurement and Sensor System Technique, Faculty of Electrical and Computer Engineering, TU Dresden, Dresden, Germany
- Competence Center for Biomedical Computational Laser Systems (BIOLAS), TU Dresden, Dresden, Germany
- Cluster of Excellence Physics of Life, TU Dresden, Dresden, Germany
- School of Science, Institute of Applied Physics, TU Dresden, Dresden, Germany
| | - Volker Busskamp
- Department of Ophthalmology, Universitäts-Augenklinik Bonn, University of Bonn, Bonn, Germany
- *Correspondence: Volker Busskamp,
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41
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Elder N, Fattahi F, McDevitt TC, Zholudeva LV. Diseased, differentiated and difficult: Strategies for improved engineering of in vitro neurological systems. Front Cell Neurosci 2022; 16:962103. [PMID: 36238834 PMCID: PMC9550918 DOI: 10.3389/fncel.2022.962103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 08/22/2022] [Indexed: 12/01/2022] Open
Abstract
The rapidly growing field of cellular engineering is enabling scientists to more effectively create in vitro models of disease and develop specific cell types that can be used to repair damaged tissue. In particular, the engineering of neurons and other components of the nervous system is at the forefront of this field. The methods used to engineer neural cells can be largely divided into systems that undergo directed differentiation through exogenous stimulation (i.e., via small molecules, arguably following developmental pathways) and those that undergo induced differentiation via protein overexpression (i.e., genetically induced and activated; arguably bypassing developmental pathways). Here, we highlight the differences between directed differentiation and induced differentiation strategies, how they can complement one another to generate specific cell phenotypes, and impacts of each strategy on downstream applications. Continued research in this nascent field will lead to the development of improved models of neurological circuits and novel treatments for those living with neurological injury and disease.
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Affiliation(s)
- Nicholas Elder
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, United States
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA, United States
- Gladstone Institutes, San Francisco, CA, United States
| | - Faranak Fattahi
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, United States
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA, United States
| | - Todd C. McDevitt
- Gladstone Institutes, San Francisco, CA, United States
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, United States
- Sana Biotechnology, Inc., South San Francisco, CA, United States
| | - Lyandysha V. Zholudeva
- Gladstone Institutes, San Francisco, CA, United States
- *Correspondence: Lyandysha V. Zholudeva,
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42
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Simkin D, Ambrosi C, Marshall KA, Williams LA, Eisenberg J, Gharib M, Dempsey GT, George AL, McManus OB, Kiskinis E. 'Channeling' therapeutic discovery for epileptic encephalopathy through iPSC technologies. Trends Pharmacol Sci 2022; 43:392-405. [PMID: 35427475 PMCID: PMC9119009 DOI: 10.1016/j.tips.2022.03.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 02/26/2022] [Accepted: 03/01/2022] [Indexed: 12/16/2022]
Abstract
Induced pluripotent stem cell (iPSC) and gene editing technologies have revolutionized the field of in vitro disease modeling, granting us access to disease-pertinent human cells of the central nervous system. These technologies are particularly well suited for the study of diseases with strong monogenic etiologies. Epilepsy is one of the most common neurological disorders in children, with approximately half of all genetic cases caused by mutations in ion channel genes. These channelopathy-associated epilepsies are clinically diverse, mechanistically complex, and hard to treat. Here, we review the genetic links to epilepsy, the opportunities and challenges of iPSC-based approaches for developing in vitro models of channelopathy-associated disorders, the available tools for effective phenotyping of iPSC-derived neurons, and discuss the potential therapeutic approaches for these devastating diseases.
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Affiliation(s)
- Dina Simkin
- The Ken & Ruth Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | | | - Kelly A Marshall
- The Ken & Ruth Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | | | - Jordyn Eisenberg
- The Ken & Ruth Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Mennat Gharib
- The Ken & Ruth Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | | | - Alfred L George
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | | | - Evangelos Kiskinis
- The Ken & Ruth Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; Simpson Querrey Institute, Northwestern University, Chicago, IL 60611, USA; Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
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43
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Girardin S, Clément B, Ihle SJ, Weaver S, Petr JB, Mateus JC, Duru J, Krubner M, Forró C, Ruff T, Fruh I, Müller M, Vörös J. Topologically controlled circuits of human iPSC-derived neurons for electrophysiology recordings. LAB ON A CHIP 2022; 22:1386-1403. [PMID: 35253810 PMCID: PMC8963377 DOI: 10.1039/d1lc01110c] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 02/18/2022] [Indexed: 06/01/2023]
Abstract
Bottom-up neuroscience, which consists of building and studying controlled networks of neurons in vitro, is a promising method to investigate information processing at the neuronal level. However, in vitro studies tend to use cells of animal origin rather than human neurons, leading to conclusions that might not be generalizable to humans and limiting the possibilities for relevant studies on neurological disorders. Here we present a method to build arrays of topologically controlled circuits of human induced pluripotent stem cell (iPSC)-derived neurons. The circuits consist of 4 to 50 neurons with well-defined connections, confined by microfabricated polydimethylsiloxane (PDMS) membranes. Such circuits were characterized using optical imaging and microelectrode arrays (MEAs), suggesting the formation of functional connections between the neurons of a circuit. Electrophysiology recordings were performed on circuits of human iPSC-derived neurons for at least 4.5 months. We believe that the capacity to build small and controlled circuits of human iPSC-derived neurons holds great promise to better understand the fundamental principles of information processing and storing in the brain.
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Affiliation(s)
- Sophie Girardin
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland.
| | - Blandine Clément
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland.
| | - Stephan J Ihle
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland.
| | - Sean Weaver
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland.
| | - Jana B Petr
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland.
| | - José C Mateus
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, Porto, Portugal
| | - Jens Duru
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland.
| | - Magdalena Krubner
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland.
| | - Csaba Forró
- Cui Laboratory, S285 290 Jane Stanford Way Stanford, Stanford, CA 94305, USA
| | - Tobias Ruff
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland.
| | - Isabelle Fruh
- Chemical Biology & Therapeutics, Novartis Institutes for BioMedical Research, 4002 Basel, Switzerland
| | - Matthias Müller
- Chemical Biology & Therapeutics, Novartis Institutes for BioMedical Research, 4002 Basel, Switzerland
| | - János Vörös
- Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland.
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44
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A defined human-specific platform for modeling neuronal network stimulation in vitro and in silico. J Neurosci Methods 2022; 373:109562. [DOI: 10.1016/j.jneumeth.2022.109562] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 02/11/2022] [Accepted: 03/09/2022] [Indexed: 11/22/2022]
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45
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Following Excitation/Inhibition Ratio Homeostasis from Synapse to EEG in Monogenetic Neurodevelopmental Disorders. Genes (Basel) 2022; 13:genes13020390. [PMID: 35205434 PMCID: PMC8872324 DOI: 10.3390/genes13020390] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 02/11/2022] [Accepted: 02/16/2022] [Indexed: 12/26/2022] Open
Abstract
Pharmacological options for neurodevelopmental disorders are limited to symptom suppressing agents that do not target underlying pathophysiological mechanisms. Studies on specific genetic disorders causing neurodevelopmental disorders have elucidated pathophysiological mechanisms to develop more rational treatments. Here, we present our concerted multi-level strategy ‘BRAINMODEL’, focusing on excitation/inhibition ratio homeostasis across different levels of neuroscientific interrogation. The aim is to develop personalized treatment strategies by linking iPSC-based models and novel EEG measurements to patient report outcome measures in individual patients. We focus our strategy on chromatin- and SNAREopathies as examples of severe genetic neurodevelopmental disorders with an unmet need for rational interventions.
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46
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McCready FP, Gordillo-Sampedro S, Pradeepan K, Martinez-Trujillo J, Ellis J. Multielectrode Arrays for Functional Phenotyping of Neurons from Induced Pluripotent Stem Cell Models of Neurodevelopmental Disorders. BIOLOGY 2022; 11:316. [PMID: 35205182 PMCID: PMC8868577 DOI: 10.3390/biology11020316] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/11/2022] [Accepted: 02/14/2022] [Indexed: 12/11/2022]
Abstract
In vitro multielectrode array (MEA) systems are increasingly used as higher-throughput platforms for functional phenotyping studies of neurons in induced pluripotent stem cell (iPSC) disease models. While MEA systems generate large amounts of spatiotemporal activity data from networks of iPSC-derived neurons, the downstream analysis and interpretation of such high-dimensional data often pose a significant challenge to researchers. In this review, we examine how MEA technology is currently deployed in iPSC modeling studies of neurodevelopmental disorders. We first highlight the strengths of in vitro MEA technology by reviewing the history of its development and the original scientific questions MEAs were intended to answer. Methods of generating patient iPSC-derived neurons and astrocytes for MEA co-cultures are summarized. We then discuss challenges associated with MEA data analysis in a disease modeling context, and present novel computational methods used to better interpret network phenotyping data. We end by suggesting best practices for presenting MEA data in research publications, and propose that the creation of a public MEA data repository to enable collaborative data sharing would be of great benefit to the iPSC disease modeling community.
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Affiliation(s)
- Fraser P. McCready
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; (F.P.M.); (S.G.-S.)
- Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Sara Gordillo-Sampedro
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; (F.P.M.); (S.G.-S.)
- Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Kartik Pradeepan
- Department of Physiology and Pharmacology, Department of Psychiatry, Robarts Research and Brain and Mind Institutes, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada; (K.P.); (J.M.-T.)
| | - Julio Martinez-Trujillo
- Department of Physiology and Pharmacology, Department of Psychiatry, Robarts Research and Brain and Mind Institutes, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada; (K.P.); (J.M.-T.)
| | - James Ellis
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; (F.P.M.); (S.G.-S.)
- Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
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47
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Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays. Cells 2021; 11:cells11010106. [PMID: 35011667 PMCID: PMC8750870 DOI: 10.3390/cells11010106] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 12/22/2021] [Accepted: 12/24/2021] [Indexed: 12/26/2022] Open
Abstract
Human pluripotent stem cell (hPSC)-derived neuron cultures have emerged as models of electrical activity in the human brain. Microelectrode arrays (MEAs) measure changes in the extracellular electric potential of cell cultures or tissues and enable the recording of neuronal network activity. MEAs have been applied to both human subjects and hPSC-derived brain models. Here, we review the literature on the functional characterization of hPSC-derived two- and three-dimensional brain models with MEAs and examine their network function in physiological and pathological contexts. We also summarize MEA results from the human brain and compare them to the literature on MEA recordings of hPSC-derived brain models. MEA recordings have shown network activity in two-dimensional hPSC-derived brain models that is comparable to the human brain and revealed pathology-associated changes in disease models. Three-dimensional hPSC-derived models such as brain organoids possess a more relevant microenvironment, tissue architecture and potential for modeling the network activity with more complexity than two-dimensional models. hPSC-derived brain models recapitulate many aspects of network function in the human brain and provide valid disease models, but certain advancements in differentiation methods, bioengineering and available MEA technology are needed for these approaches to reach their full potential.
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van Rhijn JR, Shi Y, Bormann M, Mossink B, Frega M, Recaioglu H, Hakobjan M, Klein Gunnewiek T, Schoenmaker C, Palmer E, Faivre L, Kittel-Schneider S, Schubert D, Brunner H, Franke B, Nadif Kasri N. Brunner syndrome associated MAOA mutations result in NMDAR hyperfunction and increased network activity in human dopaminergic neurons. Neurobiol Dis 2021; 163:105587. [PMID: 34923109 DOI: 10.1016/j.nbd.2021.105587] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 12/01/2021] [Accepted: 12/15/2021] [Indexed: 01/15/2023] Open
Abstract
Monoamine neurotransmitter abundance affects motor control, emotion, and cognitive function and is regulated by monoamine oxidases. Among these, Monoamine oxidase A (MAOA) catalyzes the degradation of dopamine, norepinephrine, and serotonin into their inactive metabolites. Loss-of-function mutations in the X-linked MAOA gene have been associated with Brunner syndrome, which is characterized by various forms of impulsivity, maladaptive externalizing behavior, and mild intellectual disability. Impaired MAOA activity in individuals with Brunner syndrome results in bioamine aberration, but it is currently unknown how this affects neuronal function, specifically in dopaminergic (DA) neurons. Here we generated human induced pluripotent stem cell (hiPSC)-derived DA neurons from three individuals with Brunner syndrome carrying different mutations and characterized neuronal properties at the single cell and neuronal network level in vitro. DA neurons of Brunner syndrome patients showed reduced synaptic density but exhibited hyperactive network activity. Intrinsic functional properties and α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR)-mediated synaptic transmission were not affected in DA neurons of individuals with Brunner syndrome. Instead, we show that the neuronal network hyperactivity is mediated by upregulation of the GRIN2A and GRIN2B subunits of the N-methyl-d-aspartate receptor (NMDAR), resulting in increased NMDAR-mediated currents. By correcting a MAOA missense mutation with CRISPR/Cas9 genome editing we normalized GRIN2A and GRIN2B expression, NMDAR function and neuronal population activity to control levels. Our data suggest that MAOA mutations in Brunner syndrome increase the activity of dopaminergic neurons through upregulation of NMDAR function, which may contribute to the etiology of Brunner syndrome associated phenotypes.
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Affiliation(s)
- Jon-Ruben van Rhijn
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Yan Shi
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Maren Bormann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Britt Mossink
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Monica Frega
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Clinical neurophysiology, University of Twente, 7522 NB Enschede, Netherlands
| | - Hatice Recaioglu
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marina Hakobjan
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Teun Klein Gunnewiek
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Anatomy, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Chantal Schoenmaker
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Elizabeth Palmer
- Genetics of Learning Disability Service, Hunter Genetics, Waratah, NSW, Australia; School of Women's and Children's Health, University of New South Wales, Randwick, NSW, Australia
| | - Laurence Faivre
- Centre de Référence Anomalies du développement et Syndromes malformatifs and FHU TRANSLAD, Hôpital d'Enfants, Dijon, France; INSERM UMR1231 GAD, Faculté de Médecine, Université de Bourgogne, Dijon, France
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe-University, Frankfurt, Germany; Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Dirk Schubert
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Han Brunner
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Clinical Genetics, MUMC+, GROW School of Oncology and Developmental Biology, and MHeNS School of Neuroscience and Maastricht University, Maastricht, the Netherlands
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Nael Nadif Kasri
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands.
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Muzzi L, Di Lisa D, Arnaldi P, Aprile D, Pastorino L, Martinoia S, Frega M. Rapid generation of functional engineered 3D human neuronal assemblies: network dynamics evaluated by micro-electrodes arrays. J Neural Eng 2021; 18. [PMID: 34844234 DOI: 10.1088/1741-2552/ac3e02] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 11/29/2021] [Indexed: 12/31/2022]
Abstract
Objective.In this work we adapted a protocol for the fast generation of human neurons to build 3D neuronal networks with controlled structure and cell composition suitable for systematic electrophysiological investigations.Approach.We used biocompatible chitosan microbeads as scaffold to build 3D networks and to ensure nutrients-medium exchange from the core of the structure to the external environment. We used excitatory neurons derived from human-induced pluripotent stem cells (hiPSCs) co-cultured with astrocytes. By adapting the well-established NgN2 differentiation protocol, we obtained 3D engineered networks with good control over cell density, volume and cell composition. We coupled the 3D neuronal networks to 60-channel micro electrode arrays (MEAs) to monitor and characterize their electrophysiological development. In parallel, we generated two-dimensional neuronal networks cultured on chitosan to compare the results of the two models.Main results.We sustained samples until 60 din vitro(DIV) and 3D cultures were healthy and functional. From the structural point of view, the hiPSC derived neurons were able to adhere to chitosan microbeads and to form a stable 3D assembly thanks to the connections among cells. From a functional point of view, neuronal networks showed spontaneous activity after a couple of weeks.Significance.We presented a particular method to generate 3D engineered cultures for the first time with human-derived neurons coupled to MEAs, overcoming some of the limitations related to 2D and 3D neuronal networks and thus increasing the therapeutic target potential of these models for biomedical applications.
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Affiliation(s)
- L Muzzi
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
| | - D Di Lisa
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
| | - P Arnaldi
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
| | - D Aprile
- Department of Experimental Medicine, University of Genoa, Genoa, Italy
| | - L Pastorino
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
| | - S Martinoia
- Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy
| | - M Frega
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands.,Department of Human Genetics, Radboudumc, Donders Institute for Brain, Cognition, and Behaviour, 6500 HB Nijmegen, The Netherlands
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50
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Di Credico A, Gaggi G, Izzicupo P, Ferri L, Bonanni L, Iannetti G, Di Baldassarre A, Ghinassi B. Real-Time Monitoring of Levetiracetam Effect on the Electrophysiology of an Heterogenous Human iPSC-Derived Neuronal Cell Culture Using Microelectrode Array Technology. BIOSENSORS 2021; 11:bios11110450. [PMID: 34821666 PMCID: PMC8616005 DOI: 10.3390/bios11110450] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 11/04/2021] [Accepted: 11/09/2021] [Indexed: 05/14/2023]
Abstract
Levetiracetam (LEV) is a broad-spectrum and widely used antiepileptic drug that also has neuroprotective effects in different neurological conditions. Given its complex interaction with neuronal physiology, a better comprehension of LEV effects on neurons activity is needed. Microelectrode arrays (MEAs) represent an advanced technology for the non-invasive study of electrophysiological activity of neuronal cell cultures. In this study, we exploited the Maestro Edge MEA system, a platform that allows a deep analysis of the electrical network behavior, to study the electrophysiological effect of LEV on a mixed population of human neurons (glutamatergic, GABAergic and dopaminergic neurons, and astrocytes). We found that LEV significantly affected different variables such as spiking, single-electrode bursting, and network bursting activity, with a pronounced effect after 15 min. Moreover, neuronal cell culture completely rescued its baseline activity after 24 h without LEV. In summary, MEA technology confirmed its high sensitivity in detecting drug-induced electrophysiological modifications. Moreover, our results allow one to extend the knowledge on the electrophysiological effects of LEV on the complex neuronal population that resembles the human cortex.
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Affiliation(s)
- Andrea Di Credico
- Department of Medicine and Aging Sciences, “G. D’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.D.C.); (P.I.); (L.B.); (B.G.)
| | - Giulia Gaggi
- Beth Israel Deaconess Medical Center, Harvard Medical School Initiative for RNA Medicine, Harvard Medical School, Boston, MA 02115, USA;
| | - Pascal Izzicupo
- Department of Medicine and Aging Sciences, “G. D’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.D.C.); (P.I.); (L.B.); (B.G.)
| | - Laura Ferri
- Department of Neuroscience, Imaging and Clinical Sciences, “G. D’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy;
| | - Laura Bonanni
- Department of Medicine and Aging Sciences, “G. D’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.D.C.); (P.I.); (L.B.); (B.G.)
| | - Giovanni Iannetti
- Faculty of Medicine and Dentistry, University of Rome La Sapienza, 00185 Rome, Italy;
| | - Angela Di Baldassarre
- Department of Medicine and Aging Sciences, “G. D’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.D.C.); (P.I.); (L.B.); (B.G.)
- Correspondence: ; Tel.: +39-0871-3554545
| | - Barbara Ghinassi
- Department of Medicine and Aging Sciences, “G. D’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.D.C.); (P.I.); (L.B.); (B.G.)
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