Artificial Intelligence and Circulating Cell-Free DNA Methylation Profiling: Mechanism and Detection of Alzheimer's Disease.
Ray O Bahado-SinghUppala RadhakrishnaJuozas GordevičiusBuket AydasAli YilmazFaryal JafarKhaled ImamMichael MaddensKshetra ChallapalliRaghu P MetpallyWade H BerrettiniRichard C CristStewart Francis GrahamSangeetha VishweswaraiahPublished in: Cells (2022)
We describe numerous epigenetically altered genes which were previously reported to be differentially expressed in the brain of AD sufferers. Genes identified by AI to be the best predictors of AD were either known to be expressed in the brain or have been previously linked to AD. We highlight enrichment in the Calcium signaling pathway, Glutamatergic synapse, Hedgehog signaling pathway, Axon guidance and Olfactory transduction in AD sufferers. To the best of our knowledge, this is the first reported genome-wide DNA methylation study using cfDNA to detect AD.
Keyphrases
- genome wide
- dna methylation
- artificial intelligence
- signaling pathway
- cell free
- machine learning
- gene expression
- big data
- copy number
- deep learning
- pi k akt
- white matter
- healthcare
- epithelial mesenchymal transition
- resting state
- oxidative stress
- cerebral ischemia
- induced apoptosis
- cognitive decline
- brain injury
- functional connectivity
- subarachnoid hemorrhage
- cell proliferation
- quantum dots
- sensitive detection