Multi-omics integration in disease research.

Area of Science:

• Neuroscience and Molecular Biology
• Genomics, Transcriptomics, Proteomics, and Metabolomics

Background:

• Neurodegenerative diseases present complex molecular mechanisms and diverse clinical features, challenging traditional research methods.
• Understanding the intricate biology of Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS) requires integrated approaches.

Purpose of the Study:

• To emphasize the value of multi-omics integration in elucidating the biological underpinnings of AD, PD, and ALS.
• To demonstrate how combining diverse molecular data layers can advance research, biomarker discovery, and therapeutic development for neurodegenerative diseases.

Main Methods:

• Integration of genomic, transcriptomic, proteomic, and metabolomic data using high-throughput tools.
• Application of techniques such as single-cell sequencing, spatial transcriptomics, and mass spectrometry.
• Correlation of molecular findings with clinical features, neuroimaging, and digital tools.

Main Results:

• Genomic studies identified risk variants (e.g., APOE ε4 in AD) and mutations.
• Transcriptomics revealed gene expression changes (e.g., synaptic dysfunction in PD, splicing errors in ALS).
• Proteomics identified key aggregates (amyloid beta, alpha-synuclein) and modifications (hyperphosphorylated tau).
• Metabolomics uncovered metabolic alterations (e.g., mitochondrial dysfunction in PD, lipid peroxidation in ALS).
• Multi-omics enabled patient stratification into molecular subtypes (e.g., neuroinflammatory clusters).

Conclusions:

• Multi-omics integration reconstructs molecular networks, linking genetic risk to metabolic imbalance and disease progression.
• This approach supports biomarker discovery (e.g., from CSF and blood) and the development of targeted therapies (e.g., antisense therapies for ALS).
• Integrated multi-omics data enhances diagnostic precision and guides personalized strategies in neurodegenerative disease research.