Alzheimer's disease (AD)-a complex disease showing multiple pathomechanistic alterations-is triggered by nonlinear dynamic interactions of genetic/epigenetic and environmental risk factors. which, ultimately, converge into a biologically heterogeneous disease. To tackle the burden of AD during early preclinical stages. accessible blood-based biomarkers are currently being developed. Specifically. next-generation clinical trials are expected to integrate positive and negative predictive blood-based biomarkers into study designs to evaluate, at the individual level, target druggability and potential drug resistance mechanisms. In this scenario, systems biology holds promise to accelerate validation and qualification for clinical trial contexts of use-including proof-of-mechanism. patient selection, assessment of treatment efficacy and safety rates and prognostic evaluation. Albeit in their infancy, systems biology-based approaches are poised to identify relevant AD "signatures" through multifactorial and interindividual variability. allowing us to decipher disease pathophysiology and etiology. Hopefully. innovative biomarker-drug codevelopment strategies will be the road ahead towards effective disease-modifying drugs. (C) 2019, AICH - Servier Group

Hampel, H., Vergallo, A., Afshar, M., Akman-Anderson, L., Arenas, J., Benda, N., et al. (2019). Blood-based systems biology biomarkers for next-generation clinical trials in Alzheimer’s disease. DIALOGUES IN CLINICAL NEUROSCIENCE, 21(2), 177-191 [10.31887/DCNS.2019.21.2/hhampel].

Blood-based systems biology biomarkers for next-generation clinical trials in Alzheimer’s disease

Duggento A.;Garaci F.;Mango D.;Neri C.;Saidi A.;Toschi N.;
2019-01-01

Abstract

Alzheimer's disease (AD)-a complex disease showing multiple pathomechanistic alterations-is triggered by nonlinear dynamic interactions of genetic/epigenetic and environmental risk factors. which, ultimately, converge into a biologically heterogeneous disease. To tackle the burden of AD during early preclinical stages. accessible blood-based biomarkers are currently being developed. Specifically. next-generation clinical trials are expected to integrate positive and negative predictive blood-based biomarkers into study designs to evaluate, at the individual level, target druggability and potential drug resistance mechanisms. In this scenario, systems biology holds promise to accelerate validation and qualification for clinical trial contexts of use-including proof-of-mechanism. patient selection, assessment of treatment efficacy and safety rates and prognostic evaluation. Albeit in their infancy, systems biology-based approaches are poised to identify relevant AD "signatures" through multifactorial and interindividual variability. allowing us to decipher disease pathophysiology and etiology. Hopefully. innovative biomarker-drug codevelopment strategies will be the road ahead towards effective disease-modifying drugs. (C) 2019, AICH - Servier Group
2019
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore FIS/07 - FISICA APPLICATA (A BENI CULTURALI, AMBIENTALI, BIOLOGIA E MEDICINA)
English
Alzheimer's disease; systems biology; precision medicine; blood-based biomarker; context of use; pathophysiology; clinical trial; predictive biomarker; biomarker-drug codevelopment
Hampel, H., Vergallo, A., Afshar, M., Akman-Anderson, L., Arenas, J., Benda, N., et al. (2019). Blood-based systems biology biomarkers for next-generation clinical trials in Alzheimer’s disease. DIALOGUES IN CLINICAL NEUROSCIENCE, 21(2), 177-191 [10.31887/DCNS.2019.21.2/hhampel].
Hampel, H; Vergallo, A; Afshar, M; Akman-Anderson, L; Arenas, J; Benda, N; Batrla, R; Broich, K; Caraci, F; Cuello, Ac; Emanuele, E; Haberkamp, M; Kiddle, Sj; Lucia, A; Mapstone, M; Verdooner, Sr; Woodcock, J; Lista, S; Aguilar, Lf; Babiloni, C; Baldacci, F; Black, Kl; Bokde, Alw; Bonuccelli, U; Cacciola, F; Castrillo, J; Cavedo, E; Ceravolo, R; Chiesa, Pa; Corvol, J-; Cummings, Jl; Depypere, H; Dubois, B; Duggento, A; Escott-Price, V; Federoff, H; Ferretti, Mt; Fiandaca, M; Frank, Ra; Garaci, F; Geerts, H; Giorgi, Fs; Goetzl, Ej; Graziani, M; Habert, M-; Herholz, K; Kapogiannis, D; Karran, E; Kim, Sh; Koronyo, Y; Koronyo-Hamaoui, M; Langevin, T; Lehericy, S; Lorenceau, J; Mango, D; Neri, C; Nistico, R; O'Bryant, Se; Palermo, G; Perry, G; Ritchie, C; Rossi, S; Saidi, A; Santarnecchi, E; Schneider, Ls; Sporns, O; Toschi, N; Villain, N; Welikovitch, La; Younesi, E
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/233412
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