Pathogenesis of Neurodegeneration

Dear Colleagues,

Inflammatory neurotoxins from pathogens contribute to the development of neurodegenerative disorders through the induction of neural dysfunctions in the pathogenesis process. In the early stages of neurodegenerative diseases, significant challenges arise in daily clinical practice. Data-driven analysis fosters a profound comprehension of these diseases and provides pathways toward overcoming these clinical challenges.

Moreover, a crucial understanding of the interplay among disease progression, free radical production, neuroinflammation, and neurotoxicity is imperative to elucidate disease mechanisms and formulate therapeutic strategies aimed at tackling disease progression. The prevalence and incidence of age-related neurodegenerative disorders are on the rise at a time when populations are living longer; as a result, there is an urgent need for new therapeutic approaches that reduce neuroinflammation and safeguard neurons against oxidative stress.

Diagnosis and treatment approaches for neurodegenerative diseases predominantly rely on clinical features, encompassing neuropsychological assessments and serological tests. These include the detection of medical images, blood examinations, as well as measurements of vitamin B-12 and folic acid. Furthermore, molecular characteristics linked to neurodegenerative diseases, such as Amyloid Beta and Phosphorylated Tau, are specifically relevant to Alzheimer's disease.

Cutting-edge data-driven construction initiatives aim to establish a reliable and robust empirical causality to behavior by means of thorough analysis grounded in comprehensive features. Due to the basic scientific mechanistic elements underlying neurodegeneration, we have insights into the roles of free radicals, mitochondrial dysfunction, excitotoxicity, neurotrophic factors, nitric oxide, metal ions, and neuroinflammation in the pathophysiology of apoptotic neuronal death. A common underlying theme within neurodegenerative disorders, pivotal for addressing clinical requirements, is protein misfolding. Therefore, meeting this pressing demand involves the advancement of techniques, modeling tools, and software aimed at enhancing our understanding of biological or clinical data. This entails the integration of artificial intelligence or deep learning methodologies, incorporating a robust, multi-dimensional dataset from thoroughly annotated and validated population-based cohorts, aligning with existing literature, and delivering superior explanatory accuracy in the realm of neurodegenerative diseases.

This special issue aims to explore reliable clinical features and basic (or reproducible) mechanisms for diagnosing, treating, and possibly prognosticating neurodegenerative diseases. It will achieve this through advanced data-oriented (cell or animal) modeling, spanning both wet and dry laboratory techniques, including in vivo in vitro, large data sets, data mining, brain imaging, exploring inhibitors, alternative medicine, nutrients, dietary factors, lifestyle influences, exercise effects, and fixed mechanisms. Advanced and basic mechanism-related studies are also welcome in this special issue.

Dr. Woon-Man Kung and Dr. I-Shiang Tzeng
Guest Editors

Manuscripts should be submitted via our online editorial system at https://imr.propub.com by registering and logging in to this website. Once you are registered, click here to start your submission. Manuscripts can be submitted now or up until the deadline. All papers will go through peer-review process. Accepted papers will be published in the journal (as soon as accepted) and meanwhile listed together on the special issue website. Research articles, reviews as well as short communications are preferred. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office to announce on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts will be thoroughly refereed through a double-blind peer-review process. Please visit the Instruction for Authors page before submitting a manuscript. The Article Processing Charge (APC) in this open access journal is 2200 USD. Submitted manuscripts should be well formatted in good English.