Navigating Neurodegeneration: Integrating Biomarkers, Neuroinflammation, and Imaging in Parkinson’s, Alzheimer’s, and Motor Neuron Disorders

2025/04/25 by Masaru Tanaka, Simone Battaglia, Donato Liloia · 1 voice · 5 citations
Medicine · Neuroscience · #Parkinson's Disease Mechanisms and Treatments #Neuroinflammation and Neurodegeneration Mechanisms #Alzheimer's disease research and treatments

paper · pdf · doi:10.3390/biomedicines13051045

openalex publication_date 2025/04/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/25

Abstract

Neurodegenerative diseases represent a daunting global challenge, affecting millions worldwide and imposing significant clinical and socioeconomic burdens [...].

Citations

• Metabolic Dysfunction in Parkinson’s Disease: Unraveling the Glucose–Lipid Connection
• Oxidative and Excitatory Neurotoxic Stresses in CRISPR/Cas9-Induced Kynurenine Aminotransferase Knockout Mice: A Novel Model for Despair-Based Depression and Post-Traumatic Stress Disorder

Cited by

• From Biomarkers to Behavior: Mapping the Neuroimmune Web of Pain, Mood, and Memory
• Neurogenesis and Neuroinflammation in Dialogue: Mapping Gaps, Modulating Microglia, Rewiring Aging
• Harnessing Dietary Tryptophan: Bridging the Gap Between Neurobiology and Psychiatry in Depression Management
• From Monoamines to Systems Psychiatry: Rewiring Depression Science and Care (1960s–2025)
• From Microbial Switches to Metabolic Sensors: Rewiring the Gut–Brain Kynurenine Circuit

Discussions

• 🧠Why do millions still suffer when #Science races ahead?🌍💥This collection highlights cutting-edge #Diagnostics, #BigData tools & integrative #Care @mdpiopenaccess.bsky.social 🩺📊#HealthInnovation [bsky, 2 points, 0 comments]

Related

• The Search for Answers: Causes, Risk Factors, and Current Research in Neurodegenerative Disorders
• Understanding the Silent Threat: A Review to Neurodegenerative Disorders
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• Parkinson’s Disease: Bridging Gaps, Building Biomarkers, and Reimagining Clinical Translation
• The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds