Pathogenesis and Treatment of Neurodegenerative Diseases

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Developmental Neuroscience".

Deadline for manuscript submissions: closed (31 January 2019) | Viewed by 46253

Special Issue Editor


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Guest Editor
1. Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
2. Faculty at Columbia University Medical Center, Scientist, Center for Dementia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, New York, NY, USA
Interests: endocannabinoids; synaptic plasticity; FASD; AUD; neurodegeneration; learning and memory; epigenetics; gene expression; behavior
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Special Issue Information

Dear Colleagues,

Increasing evidence suggests that brain disorders are becoming the most dangerous public health problems in modern society. More than 600 disorders affect the nervous system. Irrespective of genetic (familial) or environmental (sporadic) cause, many of these disorders become more progressive with age, including Alzheimer’s disease (AD), Parkinson’s disease (PD), stroke, amyotrophic lateral sclerosis (ALS), and many other intellectual disabilities. Most of these disorders are often accompanying atrophy in the structure and function of the central or peripheral nervous systems. Moreover, accumulating evidence also suggests that late-onset neurological disorders might be due to aberrant neural maturation with epigenetic and pathological changes that are set up at early stages of brain maturation, before the appearance of disease symptoms. Thus, evaluating epigenetic, proteins and pathways that are important in neurodegeneration in the developing, as well as adult, brain, together with the characterization of mechanisms necessary during brain development with relevance to brain aging, are of critical importance. The economic and human costs of these neurodegenerative diseases are expected to increase as the population ages. Understanding the underlying brain mechanisms that are affected by these diseases would help to develop potential therapeutic interventions and will form the basis for novel therapeutic treatments for these neurodegenerative disorders.

The current Special Issue is intended to collect a selected number of articles that establish deeper insight in these topics, which bring both broad scientific and public health impact.

Dr. Balapal S. Basavarajappa
Guest Editor

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Keywords

  • neurodegenerative disorders
  • drugs of abuse
  • alcohol
  • environmental toxicants
  • epigenetics
  • cognitive deficits
  • learning and memory
  • neurodegenerative disorders
  • molecular mechanisms
  • early brain development
  • synaptic plasticity
  • intellectual disability

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Published Papers (4 papers)

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Research

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2668 KiB  
Article
Disturbed Glucose Metabolism in Rat Neurons Exposed to Cerebrospinal Fluid Obtained from Multiple Sclerosis Subjects
by Deepali Mathur, Eva María-Lafuente, Juan R. Ureña-Peralta, Lucas Sorribes, Alberto Hernández, Bonaventura Casanova, Gerardo López-Rodas, Francisco Coret-Ferrer and Maria Burgal-Marti
Brain Sci. 2018, 8(1), 1; https://doi.org/10.3390/brainsci8010001 - 21 Dec 2017
Cited by 3 | Viewed by 5511
Abstract
Axonal damage is widely accepted as a major cause of permanent functional disability in Multiple Sclerosis (MS). In relapsing-remitting MS, there is a possibility of remyelination by myelin producing cells and restoration of neurological function. The purpose of this study was to delineate [...] Read more.
Axonal damage is widely accepted as a major cause of permanent functional disability in Multiple Sclerosis (MS). In relapsing-remitting MS, there is a possibility of remyelination by myelin producing cells and restoration of neurological function. The purpose of this study was to delineate the pathophysiological mechanisms underpinning axonal injury through hitherto unknown factors present in cerebrospinal fluid (CSF) that may regulate axonal damage, remyelinate the axon and make functional recovery possible. We employed primary cultures of rat unmyelinated cerebellar granule neurons and treated them with CSF obtained from MS and Neuromyelitis optica (NMO) patients. We performed microarray gene expression profiling to study changes in gene expression in treated neurons as compared to controls. Additionally, we determined the influence of gene-gene interaction upon the whole metabolic network in our experimental conditions using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) program. Our findings revealed the downregulated expression of genes involved in glucose metabolism in MS-derived CSF-treated neurons and upregulated expression of genes in NMO-derived CSF-treated neurons. We conclude that factors in the CSF of these patients caused a perturbation in metabolic gene(s) expression and suggest that MS appears to be linked with metabolic deformity. Full article
(This article belongs to the Special Issue Pathogenesis and Treatment of Neurodegenerative Diseases)
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1564 KiB  
Article
Alzheimer’s Disease Early Diagnosis Using Manifold-Based Semi-Supervised Learning
by Moein Khajehnejad, Forough Habibollahi Saatlou and Hoda Mohammadzade
Brain Sci. 2017, 7(8), 109; https://doi.org/10.3390/brainsci7080109 - 20 Aug 2017
Cited by 22 | Viewed by 8047
Abstract
Alzheimer’s disease (AD) is currently ranked as the sixth leading cause of death in the United States and recent estimates indicate that the disorder may rank third, just behind heart disease and cancer, as a cause of death for older people. Clearly, predicting [...] Read more.
Alzheimer’s disease (AD) is currently ranked as the sixth leading cause of death in the United States and recent estimates indicate that the disorder may rank third, just behind heart disease and cancer, as a cause of death for older people. Clearly, predicting this disease in the early stages and preventing it from progressing is of great importance. The diagnosis of Alzheimer’s disease (AD) requires a variety of medical tests, which leads to huge amounts of multivariate heterogeneous data. It can be difficult and exhausting to manually compare, visualize, and analyze this data due to the heterogeneous nature of medical tests; therefore, an efficient approach for accurate prediction of the condition of the brain through the classification of magnetic resonance imaging (MRI) images is greatly beneficial and yet very challenging. In this paper, a novel approach is proposed for the diagnosis of very early stages of AD through an efficient classification of brain MRI images, which uses label propagation in a manifold-based semi-supervised learning framework. We first apply voxel morphometry analysis to extract some of the most critical AD-related features of brain images from the original MRI volumes and also gray matter (GM) segmentation volumes. The features must capture the most discriminative properties that vary between a healthy and Alzheimer-affected brain. Next, we perform a principal component analysis (PCA)-based dimension reduction on the extracted features for faster yet sufficiently accurate analysis. To make the best use of the captured features, we present a hybrid manifold learning framework which embeds the feature vectors in a subspace. Next, using a small set of labeled training data, we apply a label propagation method in the created manifold space to predict the labels of the remaining images and classify them in the two groups of mild Alzheimer’s and normal condition (MCI/NC). The accuracy of the classification using the proposed method is 93.86% for the Open Access Series of Imaging Studies (OASIS) database of MRI brain images, providing, compared to the best existing methods, a 3% lower error rate. Full article
(This article belongs to the Special Issue Pathogenesis and Treatment of Neurodegenerative Diseases)
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Review

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37 pages, 1157 KiB  
Review
Neurodegenerative Diseases: Regenerative Mechanisms and Novel Therapeutic Approaches
by Rashad Hussain, Hira Zubair, Sarah Pursell and Muhammad Shahab
Brain Sci. 2018, 8(9), 177; https://doi.org/10.3390/brainsci8090177 - 15 Sep 2018
Cited by 155 | Viewed by 25109
Abstract
Regeneration refers to regrowth of tissue in the central nervous system. It includes generation of new neurons, glia, myelin, and synapses, as well as the regaining of essential functions: sensory, motor, emotional and cognitive abilities. Unfortunately, regeneration within the nervous system is very [...] Read more.
Regeneration refers to regrowth of tissue in the central nervous system. It includes generation of new neurons, glia, myelin, and synapses, as well as the regaining of essential functions: sensory, motor, emotional and cognitive abilities. Unfortunately, regeneration within the nervous system is very slow compared to other body systems. This relative slowness is attributed to increased vulnerability to irreversible cellular insults and the loss of function due to the very long lifespan of neurons, the stretch of cells and cytoplasm over several dozens of inches throughout the body, insufficiency of the tissue-level waste removal system, and minimal neural cell proliferation/self-renewal capacity. In this context, the current review summarized the most common features of major neurodegenerative disorders; their causes and consequences and proposed novel therapeutic approaches. Full article
(This article belongs to the Special Issue Pathogenesis and Treatment of Neurodegenerative Diseases)
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Other

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6 pages, 1052 KiB  
Concept Paper
Clearing Extracellular Alpha-Synuclein from Cerebrospinal Fluid: A New Therapeutic Strategy in Parkinson’s Disease
by Manuel Menéndez-González, Huber S. Padilla-Zambrano, Cristina Tomás-Zapico and Benjamin Fernández García
Brain Sci. 2018, 8(4), 52; https://doi.org/10.3390/brainsci8040052 - 23 Mar 2018
Cited by 12 | Viewed by 6635
Abstract
This concept article aims to show the rationale of targeting extracellular α-Synuclein (α-Syn) from cerebrospinal fluid (CSF) as a new strategy to remove this protein from the brain in Parkinson’s disease (PD). Misfolding and intracellular aggregation of α-synuclein into Lewy bodies are thought [...] Read more.
This concept article aims to show the rationale of targeting extracellular α-Synuclein (α-Syn) from cerebrospinal fluid (CSF) as a new strategy to remove this protein from the brain in Parkinson’s disease (PD). Misfolding and intracellular aggregation of α-synuclein into Lewy bodies are thought to be crucial in the pathogenesis of PD. Recent research has shown that small amounts of monomeric and oligomeric α-synuclein are released from neuronal cells by exocytosis and that this extracellular alpha-synuclein contributes to neurodegeneration, progressive spreading of alpha-synuclein pathology, and neuroinflammation. In PD, extracellular oligomeric-α-synuclein moves in constant equilibrium between the interstitial fluid (ISF) and the CSF. Thus, we expect that continuous depletion of oligomeric-α-synuclein in the CSF will produce a steady clearance of the protein in the ISF, preventing transmission and deposition in the brain. Full article
(This article belongs to the Special Issue Pathogenesis and Treatment of Neurodegenerative Diseases)
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