ArticleCellular and molecular neurobiology2025
Amyloid-β, Tau, and α-Synuclein Protein Interactomes as Therapeutic Targets in Neurodegenerative Diseases.
Article in Cellular and molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Uncovering hidden protein networks in Huntington's disease: implications for pathogenesis and therapy.Molecular biology reports · 2026Review
- Molecular Mechanisms of Neurodegenerative Diseases: Emerging Biomarkers and Therapeutic Targets.Brain sciences · 2026Review
- A Meta-analysis to Identify Common Key Genes Across Ageing, Alzheimer's and Parkinson's Diseases.Annals of neurosciences · 2026Article
- Candidate Key Proteins in Thalamo-Amygdala Signaling in Tinnitus: A Bioinformatics Study.International journal of molecular sciences · 2026Article
- CRISPR-based functional genomic screening in neurodegeneration: mechanistic insights into AD, PD, and ALS.Frontiers in aging neuroscience · 2026Review
- Senotherapeutics for Brain Aging Management.Neurology international · 2025Review
- AI-Guided Dual Strategy for Peptide Inhibitor Design Targeting Structural Polymorphs of α-Synuclein Fibrils.Cells · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Alzheimer's and Parkinson's disease are the most prevalent neurological diseases. Amyloid-β, tau, and α-synuclein proteins are known to be implicated in neurodegenerative disease (NDD). Elucidation of precise therapeutic targets remains a challenge. Therefore, the identification of interactomes of amyloid-β precursor protein (APP), microtubule-associated protein tau (MAPT), and α-synuclein (SNCA) proteins is of great interest, aimed at unraveling novel targets. An integrated analysis was employed to identify direct interactors as therapeutic targets, considering protein-protein interactions and subsequent network analysis. Further, it was proposed to identify hub proteins, intended targets, regulatory factors, disease-gene associations, functional enrichment analyses of the protein interactors interfered with gene ontologies and disease-driving pathways. Protein interactome centered on APP, MAPT, and SNCA identified the top hundred high-confidence protein-protein interactions that revealed BACE1, PSEN1, SORL1, GSK3B, CDK5, SNCAIP, PRKN, and APOE as physical and functional protein interactors. The top ten hub proteins were ranked based on multiple centrality measures and topological algorithms. Further, the integrated network of all three protein interactomes contained distinct nodes with edges. Interestingly, regulatory mechanisms have revealed possible regulatory modules, including cleavage, phosphorylation, and ubiquitination. Top interacting proteins were enriched in several ontology terms, such as regulation of neuronal apoptotic processes, amyloid beta fibril formation, and tau protein binding. Pathway analysis mapped the pathways of neurodegeneration-multiple disease, with a significant level of interacting proteins. Finally, the most comprehensive interactome associated with NDD provides insights into protein interactors, regulating the mechanisms of key proteins that can serve as novel therapeutic targets.
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