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Related Experiment Video

Updated: Feb 13, 2026

Perspectives on Neuroscience
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Environmentally Driven Precision Neurology: A Neurogenomic Perspective.

Mia Yang Ang1,2, Nur Azalina Suzianti Feisal3,4, Muhammad Danial Che Ramli4

  • 1Department of Biomedical Sciences, Sir Jeffrey Cheah Sunway Medical School, Faculty of Medical and Life Sciences, Sunway University, Bandar Sunway, Petaling Jaya 47500, Selangor, Malaysia.

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|February 12, 2026
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Summary

Environmental pollution significantly impacts neurological diseases. Integrating environmental and genomic data offers new avenues for precision neurology to predict, prevent, and treat conditions like Alzheimer's and Parkinson's disease.

Keywords:
environmental neurogenomicsepigeneticsgene-environment interactionneurological disordersprecision neurology

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Area of Science:

  • Environmental health
  • Neuroscience
  • Genomics

Background:

  • Environmental pollution is a major global health concern.
  • Its link to neurological diseases (e.g., Alzheimer's, Parkinson's) is increasingly evident.
  • Precision medicine necessitates understanding gene-environment interactions for neurological disorders.

Purpose of the Study:

  • To review the integration of environmental and genomic data for neurological disease management.
  • To highlight the role of environmental factors in disease etiology.
  • To explore advancements in precision neurology.

Main Methods:

  • Synthesis of current knowledge on environmental impacts on neurological health.
  • Review of epigenetic mechanisms (DNA methylation, histone modification) linking environment and gene expression.
  • Exploration of neurogenomics, bioinformatics, and AI in deciphering disease mechanisms.

Main Results:

  • Environmental factors (air pollution, pesticides, stress) can induce epigenetic changes affecting neurological disease risk.
  • Advances in technology enable better understanding of these complex interactions.
  • Personalized diagnostics and interventions are becoming feasible.

Conclusions:

  • Integrating environmental and genetic data is crucial for precision neurology.
  • Overcoming challenges in data integration, cost, and ethics is vital.
  • This approach promises to improve prediction, prevention, and treatment of neurological diseases, reducing their global burden.