Principal component analysis of the effects of environmental enrichment and (-)-epigallocatechin-3-gallate on age-associated learning deficits in a mouse model of Down Syndrome
Down syndrome (DS) individuals present increased risk for Alzheimer's disease (AD) neuropathology and AD-type dementia. Here, we investigated the use of green tea extracts containing (-)-epigallocatechin-3-gallate (EGCG), as co-adjuvant to enhance the effects of environmental enrichment (EE) in...
| Authors: | , , , , , , |
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| Format: | article |
| Publication Date: | 2015 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/84867 |
| Online Access: | https://hdl.handle.net/2117/84867 https://dx.doi.org/10.3389/fnbeh.2015.00330 |
| Access Level: | Open access |
| Keyword: | Operations research Down syndrome aging (-)-epigallocatechin-3-gallate Morris water maze principal component analysis MORRIS WATER MAZE GREEN TEA POLYPHENOL ALZHEIMERS-DISEASE COGNITIVE DEFICITS TRANSGENIC MICE TS65DN MICE NEUROPATHOLOGICAL CHANGES CEREBRAL-CORTEX BRAIN PROTEIN Investigació operativa Classificació AMS::90 Operations research, mathematical programming::90B Operations research and management science Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Simulació |
| Summary: | Down syndrome (DS) individuals present increased risk for Alzheimer's disease (AD) neuropathology and AD-type dementia. Here, we investigated the use of green tea extracts containing (-)-epigallocatechin-3-gallate (EGCG), as co-adjuvant to enhance the effects of environmental enrichment (EE) in Ts65Dn mice, a segmental trisomy model of DS that partially mimics DS/AD pathology, at the age of initiation of cognitive decline. Classical repeated measures ANOVA showed that combined EE-EGCG treatment was more efficient than FE or EGCG alone to improve specific spatial learning related variables. Using principal component analysis (PCA) we found that several spatial learning parameters contributed similarly to a first PC and explained a large proportion of the variance among groups, thus representing a composite learning measure. This PC1 revealed that EGCG or FE alone had no significant effect. However, combined FE-EGCG significantly ameliorated learning alterations of middle age Ts65Dn mice. Interestingly. PCA revealed an increased variability along learning sessions with good and poor learners in Ts65Dn, and this stratification did not disappear upon treatments. Our results suggest that combining EE and EGCG represents a viable therapeutic approach for amelioration of age-related cognitive decline in DS, although its efficacy may vary across individuals. |
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