Machine learning on unbiased proteomics of cerebrospinal fluid uncovers differential molecular signatures of Alzheimer’s disease and Normal Pressure Hydrocephalus
de Geus M, Wu C, Dodge H, Leslie S, Wang W, Lam T, Nairn A, Kivisäkk P, Arnold S, Carlyle B. Machine learning on unbiased proteomics of cerebrospinal fluid uncovers differential molecular signatures of Alzheimer’s disease and Normal Pressure Hydrocephalus. Alzheimer's & Dementia 2024, 20: e091783. PMCID: PMC11714358, DOI: 10.1002/alz.091783.Peer-Reviewed Original ResearchGene set enrichment analysisAlzheimer's diseaseSignatures of Alzheimer's diseasePathology of ADMolecular signaturesPathways related to glycolysisNormal pressure hydrocephalusImmune response pathwaysGene setsResponse pathwaysData-independent acquisition mass spectrometryMolecular-level investigationsEnrichment analysisProteomic investigationsCerebrospinal fluidMetabolic processesProteome quantificationProteinProteomic Profile of Circulating Extracellular Vesicles in the Brain after Δ9-Tetrahydrocannabinol Inhalation
Lallai V, Lam T, Garcia-Milian R, Chen Y, Fowler J, Manca L, Piomelli D, Williams K, Nairn A, Fowler C. Proteomic Profile of Circulating Extracellular Vesicles in the Brain after Δ9-Tetrahydrocannabinol Inhalation. Biomolecules 2024, 14: 1143. PMID: 39334909, PMCID: PMC11430348, DOI: 10.3390/biom14091143.Peer-Reviewed Original ResearchConceptsImmediate early gene c-fosChronic THC exposureEarly gene c-fosCannabinoid 1 receptorGene c-fosSex-specific mannerTHC exposurePsychoactive componentExtracellular vesiclesCentral signaling mechanismDrug effectsTHCChoroid plexus epithelial cellsFemale ratsC-fosPlexus epithelial cellsBrainCannabisRelease of EVsRegulate intercellular communicationCerebrospinal fluidEpithelial cellsIntercellular signaling mediatorsEV signalingIntercellular communication
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