Transgenic Mouse Models of Alzheimer's Disease: An Integrative Analysis
Alzheimer's disease (AD) constitutes the most prominent form of dementia among elderly individuals worldwide. Disease modeling using murine transgenic mice was first initiated thanks to the discovery of heritable mutations in amyloid precursor protein (APP) and presenilins (PS) genes. However, due to the repeated failure of translational applications from animal models to human patients, along with the recent advances in genetic susceptibility and our current understanding on disease biology, these models have evolved over time in an attempt to better reproduce the complexity of this devastating disease and improve their applicability. In this review, we provide a comprehensive overview about the major pathological elements of human AD (plaques, tauopathy, synaptic damage, neuronal death, neuroinflammation and glial dysfunction), discussing the knowledge that available mouse models have provided about the mechanisms underlying human disease. Moreover, we highlight the pros and cons of current models, and the revolution offered by the concomitant use of transgenic mice and omics technologies that may lead to a more rapid improvement of the present modeling batter ; This research was funded by INSTITUTO DE SALUD CARLOS III (ISCiii) of Spain, cofinanced by FEDER funds from European Union, through grants PI21/00915 (to AG) and PI21/00914 (to JV); by JUNTA DE ANDALUCIA CONSEJERÍA DE ECONOMÍA Y CONOCIMIENTO through grants UMA18-FEDERJA-211 (to AG), UMA20-FEDERJA-104 (to IMG), P18-RT-2233 (to AG) and US-1262734 (to JV) co-financed by Programa Operativo FEDER 2014–2020 and CONSEJERIA DE SALUD grant PI-0276-2018 (to JAGL); by SPANISH MINISTER OF SCIENCE AND INNOVATION grant PID2019-108911RA-100 (to DBV), BEATRIZ GALINDO PROGRAM BAGAL18/00052 (to DBV), Alzheimer Association AARG-22-928219 (to DBV), grant PID2019-107090RA-100 (to IMG) and RAMON Y CAJAL PROGRAM RYC-2017-21879 (to IMG); and by MALAGA UNIVERSITY grant B1-2019_07 (to ESM), grant B1-2020_04 (to JAGL), grant B1-2019_06 (to IMG) and NASARD grant 27565 2018 (to ...