RT Journal Article
T1 Deciphering metabolic abnormalities associated with Alzheimer's disease in the APP/PS1 mouse model using integrated metabolomic approaches
A1 González Domínguez, Raúl
A1 García Barrera, Tamara
A1 Vitorica, Javier
A1 Gómez Ariza, José Luis
AB The transgenic mouse APP/PS1 is widely employed by neuroscientists because reproduces well some of the neuropathological and cognitive deficits observed in human Alzheimer's disease. In this study, serum samples from APP/PS1 mice (n = 30) and wild-type controls (n = 30) were analyzed using a metabolomic multiplatform based on the combination of gas chromatography-mass spectrometry and ultra-high performance liquid chromatography-mass spectrometry, in order to obtain wide information about serum metabolome. Metabolic profiles showed significant differences between the groups of study, and numerous metabolites were identified as potential players in the development of Alzheimer-type disorders in this transgenic model. Pathway analysis revealed the involvement of multiple metabolic networks in the underlying pathology, such as deficiencies in energy metabolism, altered amino acid homeostasis, abnormal membrane lipid metabolism, and other impairments related to the integrity of the central nervous system. It is noteworthy that some of these metabolomic markers are in accordance with pathological alterations observed in human Alzheimer's disease, while others have not been previously described. Therefore, these results demonstrate the potential of metabolomics and the use of transgenic animal models to understand the pathogenesis of Alzheimer's disease.
PB Elsevier
SN 0300-9084
SN 1638-6183 (electrónico)
YR 2015
FD 2015
LK http://hdl.handle.net/10272/14592
UL http://hdl.handle.net/10272/14592
LA eng
NO González Domínguez, R., García Barrera, T., Vitorica, J., Gómez Ariza, J.L.: "Deciphering metabolic abnormalities associated with Alzheimer's disease in the APP/PS1 mouse model using integrated metabolomic approaches". Biochimie. Vol. 110, págs. 119-128, (2015). DOI: 10.1016/j.biochi.2015.01.005
NO This work was supported by the projects CTM2012-38720-C03-01 from the Ministerio de Ciencia e Innovacion and P009-FQM-4659 from the Consejeria de Innovacion, Ciencia y Empresa (Junta de Andalucia). Raul Gonzalez Dominguez thanks the Ministerio de Educacion for a predoctoral scholarship.
DS Repositorio Institucional de la Universidad de Huelva
RD 31 may 2026