Therapeutic Strategies in Neurodegenerative Diseases

Anderson, Kristi M.; Mosley, R. Lee

doi:10.1007/978-3-319-44022-4_42

Cited by 2 publications

(1 citation statement)

References 313 publications

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“…As populations get older, age-related neurodegenerative diseases such as AD and PD have become increasingly common [11,12], placing a devastating burden on individuals, their families and society at large [13]. Despite the exciting recent discoveries and their potential to serve as therapeutic tools for age-related neurodegenerative diseases [67][68][69], effective treatments are still lacking, raising the question 'can we do more?' .…”

Section: Can We Do More?mentioning

confidence: 99%

From neuromorphic to neurohybrid: transition from the emulation to the integration of neuronal networks

Bruno

Mariano

Rana

et al. 2023

Neuromorph. Comput. Eng.

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The highly efficient computation of the brain relies on its plastic and reconfigurable nature, enabling complex computations and maintenance of vital functions with a remarkably low power consumption of only ~20 W. First efforts to leverage brain-inspired computational principles have led to the introduction of artificial neural networks (ANNs) that revolutionized information processing and daily life. The relentless pursuit of the definitive computing platform is now pushing researchers towards the investigation of novel solutions to emulate specific brain features (such as synaptic plasticity) to allow local and energy efficient computations. The development of such devices may also be pivotal in addressing major challenges of a continuously aging world, including the treatment of neurodegenerative diseases. To date, the neuroelectronics field has been instrumental in deepening our understanding of how neurons exchange information, owing to the rapid development of silicon-based platforms for neural recordings and stimulation. However, this approach still does not allow for in loco processing of the observed biological signals due to two aspects. Firstly, silicon chips applying conventional processing are simply too power hungry to be embedded into the brain. Secondly, despite the success of silicon-based devices in electronic applications, they are ill-suited for directly interfacing with biological tissue. A cornucopia of solutions has therefore been proposed in the last years to obtain neuromorphic materials to create effective biointerfaces and enable reliable bidirectional communication with neurons. Organic conductive materials are not only highly biocompatible and able to electrochemically transduce biological signals, but also promise to include neuromorphic features, such as neuro-transmitter mediated plasticity and learning capabilities. Furthermore, organic electronics, relying on mixed electronic/ionic conduction mechanism, can be efficiently coupled with biological neural networks, while still communicating with silicon-based electronics. We envision neurohybrid systems that integrate silicon-based and organic electronics-based neuromorphic technologies to create active artificial interfaces with biological tissues.

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Section: Can We Do More?mentioning

confidence: 99%

From neuromorphic to neurohybrid: transition from the emulation to the integration of neuronal networks

Bruno

Mariano

Rana

et al. 2023

Neuromorph. Comput. Eng.

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Role of Autophagy and Mitophagy in Neurodegenerative Disorders

Kapil

Kumar

Kaur

et al. 2024

CNSNDDT

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Autophagy is a self-destructive cellular process that removes essential metabolites and waste from inside the cell to maintain cellular health. Mitophagy is the process by which autophagy causes disruption inside mitochondria and the total removal of damaged or stressed mitochondria, hence enhancing cellular health. The mitochondria are the powerhouses of the cell, performing essential functions such as ATP (adenosine triphosphate) generation, metabolism, Ca2+ buffering, and signal transduction. Many different mechanisms, including endosomal and autophagosomal transport, bring these substrates to lysosomes for processing. Autophagy and endocytic processes each have distinct compartments, and they interact dynamically with one another to complete digestion. Since mitophagy is essential for maintaining cellular health and using genetics, cell biology, and proteomics techniques, it is necessary to understand its beginning, particularly in ubiquitin and receptor-dependent signalling in injured mitochondria. Despite their similar symptoms and emerging genetic foundations, Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS) have all been linked to abnormalities in autophagy and endolysosomal pathways associated with neuronal dysfunction. Mitophagy is responsible for normal mitochondrial turnover and, under certain physiological or pathological situations, may drive the elimination of faulty mitochondria. Due to their high energy requirements and post-mitotic origin, neurons are especially susceptible to autophagic and mitochondrial malfunction. This article focused on the importance of autophagy and mitophagy in neurodegenerative illnesses and how they might be used to create novel therapeutic approaches for treating a wide range of neurological disorders.

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Therapeutic Strategies in Neurodegenerative Diseases

Cited by 2 publications

References 313 publications

From neuromorphic to neurohybrid: transition from the emulation to the integration of neuronal networks

From neuromorphic to neurohybrid: transition from the emulation to the integration of neuronal networks

Role of Autophagy and Mitophagy in Neurodegenerative Disorders

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