Omics sciences for systems biology in Alzheimer's disease: State-of-the-art of the evidence

Autor: Pedro L. Valenzuela, Alejandro Lucia, Harald Hampel, Massimo Corbo, Mark Mapstone, Nicholas T. Seyfried, Giulia Maria Sancesario, Pablo Lemercier, Enzo Emanuele, Francesco Garaci, Andrea Urbani, Simone Lista, George Perry, Filippo Baldacci, Nicola Toschi, Erica Modeste, Allan I. Levey, Andrea Vergallo, Robert Nisticò
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Popis: Alzheimer's disease (AD) is characterized by non-linear, genetic-driven pathophysiological dynamics with high heterogeneity in biological alterations and disease spatial-temporal progression. Human in-vivo and post-mortem studies point out a failure of multi-level biological networks underlying AD pathophysiology, including proteostasis (amyloid-β and tau), synaptic homeostasis, inflammatory and immune responses, lipid and energy metabolism, oxidative stress. Therefore, a holistic, systems-level approach is needed to fully capture AD multi-faceted pathophysiology. Omics sciences - genomics, epigenomics, transcriptomics, proteomics, metabolomics, lipidomics - embedded in the systems biology (SB) theoretical and computational framework can generate explainable readouts describing the entire biological continuum of a disease. Such path in Neurology is encouraged by the promising results of omics sciences and SB approaches in Oncology, where stage-driven pathway-based therapies have been developed in line with the precision medicine paradigm. Multi-omics data integrated in SB network approaches will help detect and chart AD upstream pathomechanistic alterations and downstream molecular effects occurring in preclinical stages. Finally, integrating omics and neuroimaging data - i.e., neuroimaging-omics - will identify multi-dimensional biological signatures essential to track the clinical-biological trajectories, at the subpopulation or even individual level. Sin financiación 10.895 JCR (2021) Q1, 25/195 Cell Biology 3.523 SJR (2021) Q1, 1/35 Aging No data IDR 2021 UEM
Databáze: OpenAIRE