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Comprehensive Bioinformatics Analysis Reveals Molecular Signatures and Potential Caloric Restriction Mimetics with
Navami Krishna1, Neelakandan Annamalai Ramalakshmi1, Rajanikant Golgodu Krishnamurthy2
1Department of Bioscience and Engineering, National Institute of Technology Calicut, Calicut, Kerala, India, 673601.
Journal of Molecular Neuroscience : MN
|March 13, 2025
Summary
Caloric restriction (CR) protects the brain neocortex by improving mitochondrial function and reducing inflammation. This study identifies potential CRMs for treating age-related neurological diseases.
Area of Science:
- Neuroscience
- Gerontology
- Bioinformatics
Background:
- Caloric restriction (CR) extends lifespan and ameliorates age-related diseases in preclinical models.
- Caloric restriction mimetics (CRMs) offer therapeutic potential for age-related conditions.
- Understanding CR's neuroprotective mechanisms is crucial for developing interventions.
Purpose of the Study:
- To investigate the neuroprotective effects of CR on the brain neocortex.
- To identify potential CRMs using integrative bioinformatics and systems biology.
- To explore CR-related signaling pathways and molecular mechanisms.
Main Methods:
- Analysis of brain neocortex gene expression data (GSE11291) under long-term CR.
- Integrative bioinformatics and systems biology approaches to identify CRMs.
- Machine learning models for classifying small molecules based on CNS activity and anti-inflammatory properties.
- In vitro validation using oxygen-glucose deprivation (OGD) model.
Main Results:
- Long-term CR enhances mitochondrial function, antioxidant capacity, and reduces inflammation, conferring neuroprotection.
- Key signaling pathways (PPAR, mTOR, FoxO, AMPK, Notch) are enriched, regulating metabolism, stress response, and longevity.
- Potential CRMs, including rapamycin, were identified, with top candidates showing ischemic neuroprotective effects in vitro.
Conclusions:
- Long-term CR activates protective mechanisms that preserve neuronal function.
- The study identifies key genes, regulatory molecules, and potential CRMs for neurological disorders.
- Findings provide a foundation for developing CR-based therapies for age-related neurological diseases.

