Glaucoma is a progressive optic neuropathy that is the second leading cause of preventable blindness worldwide, after cataract formation. A rise in the intraocular pressure (IOP) is considered to be a major risk factor for glaucoma and is associated with an abnormal increase of resistance to aqueous humour outflow from the anterior chamber. Glaucoma drainage devices have been developed to provide an alternative pathway through which aqueous humour can effectively exit the anterior chamber, thereby reducing IOP. These devices include the traditional aqueous shunts with tube-plate design, as well as more recent implants, such as the trabeculectomy-modifying EX-PRESS® implant and the new minimally invasive glaucoma surgery (MIGS) devices. In this review, we will describe each implant in detail, focusing on their efficacy in reducing IOP and safety profile. Additionally, a critical and evidence-based comparison between these implants will be provided. Finally, we will propose potential developments that may help to improve the performance of current devices.
Neural network formation is a complex process involving axon outgrowth and guidance. Axon guidance is facilitated by structural and molecular cues from the surrounding microenvironment. Micro-fabrication techniques can be employed to produce microfluidic chips with a highly controlled microenvironment for neural cells enabling longitudinal studies of complex processes associated with network formation. In this work, we demonstrate a novel open microfluidic chip design that encompasses a freely variable number of nodes interconnected by axon-permissible tunnels, enabling structuring of multi-nodal neural networks in vitro. The chip employs a partially open design to allow high level of control and reproducibility of cell seeding, while reducing shear stress on the cells. We show that by culturing dorsal root ganglion cells (DRGs) in our microfluidic chip, we were able to structure a neural network in vitro. These neurons were compartmentalized within six nodes interconnected through axon growth tunnels. Furthermore, we demonstrate the additional benefit of open top design by establishing a 3D neural culture in matrigel and a neuronal aggregate 3D culture within the chips. In conclusion, our results demonstrate a novel microfluidic chip design applicable to structuring complex neural networks in vitro, thus providing a versatile, highly relevant platform for the study of neural network dynamics applicable to developmental and regenerative neuroscience.
The human brain is a remarkable computing machine, i.e. vastly parallel, self-organizing, robust, and energy efficient. To gain a better understanding into how the brain works, a cyborg (cybernetic organism, a combination of machine and living tissue) is currently being made in an interdisciplinary effort, known as the Cyborg project. In this paper we describe how living cultures of neurons (biological neural networks) are successfully grown in-vitro over Micro-Electrode Arrays (MEAs), which allow them to be interfaced to a robotic body through electrical stimulation and neural recordings. Furthermore, we describe the bio-and nano-technological procedures utilized for the culture of such dissociated neural networks and the interface software and hardware framework used for creating a closed-loop hybrid neuro-system. A Reservoir Computing (RC) approach is used to harness the computational power of the neuronal culture.
Sweden Graphical abstractFunctional neuromuscular junction in a microfluidic chip (a) Overview of microfluidic chip. Human iPS cell-derived motor neuron aggregates (spheroids indicated by black arrows) are seeded in the three lateral compartments of the chip, while human myotubes (white arrows) are seeded in the middle compartment. (b) Directed connectivity and retrograde virus tracing.Outgrowing axons (yellow arrow) from the motor neuron aggregate enter the directional axon tunnels (grey rectangles) and form connections with the myotubes (white arrow) within the opposite compartment. Addition of a designer monosynaptic pseudotyped ΔG-rabies virus to the myotube compartment, infects the myotubes (green) expressing an exogenous receptor (TVA) and rabies glycoprotein (G), subsequently making infectious viruses that are retrogradely transported through the motor neuron axons (green arrow) back to the neuronal cell bodies within the aggregate, validating neuromuscular junction functionality. AbstractCompartmentalized microfluidic culture systems provide new perspectives in in vitro disease modelling as they enable co-culture of different relevant cell types in interconnected but fluidically isolated microenvironments. Such systems are thus particularly interesting in the context of in vitro modelling of mechanistic aspects of neurodegenerative diseases such as amyotrophic lateral sclerosis, which progressively affect the function of neuromuscular junctions, as they enable the co-culture of motor neurons and muscle cells in separate, but interconnected compartments. In combination with cell reprogramming technologies for the generation of human (including patient-specific) motor neurons, microfluidic platforms can thus become important research tools in preclinical studies. In this study, we present the application of a microfluidic chip with a differentially-perturbable microenvironment as a platform for establishing functional neuromuscular junctions using human induced pluripotent stem cell derived motor neurons and human myotubes. As a novel approach, we demonstrate the functionality of the platform using a designer pseudotyped ΔG-rabies virus for retrograde monosynaptic tracing.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.