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Published on: July 6, 2019
Modeling Neurodegenerative Disorders for Developing Cannabinoid-Based Neuroprotective Therapies.
Javier Fernández-Ruiz1, María Gómez-Ruiz2, Concepción García1
1Instituto Universitario de Investigación en Neuroquímica, Facultad de Medicina, Universidad Complutense, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.
Aging populations face rising neurodegenerative diseases. Cannabinoids offer a promising therapeutic strategy for neuroprotection and repair, addressing the urgent need for effective treatments.
Area of Science:
- Neuroscience
- Pharmacology
- Gerontology
Background:
- Increased lifespan leads to a higher incidence of age-related chronic neurodegenerative disorders.
- Aging is the primary risk factor for these conditions, posing a significant biomedical challenge.
- Current therapies are insufficient, highlighting the urgent need for novel treatment strategies.
Purpose of the Study:
- To address the challenge of neurodegenerative disorders in aging populations.
- To review the failures in developing effective therapies and propose solutions.
- To explore cannabinoids as a potential therapeutic strategy for neuroprotection and repair.
Main Methods:
- Reviewing current research on neurodegenerative disorders and aging.
- Analyzing the limitations of existing therapeutic approaches.
- Investigating the potential of cannabinoids and their targets (endocannabinoid system, PPARs, transcription factors).
Main Results:
- Cannabinoids exhibit a broad-spectrum neuroprotective profile.
- The endocannabinoid system is an endogenous protective mechanism.
- Cannabinoid targets are located in critical neuronal survival pathways and support cell repair.
Conclusions:
- Cannabinoids represent a viable strategy for developing novel therapies for neurodegenerative disorders.
- Targeting the endocannabinoid system can promote neuroprotection, repair, and cell replacement.
- Multitarget strategies, predictive models, and early biomarkers are crucial for future success.
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