bioRxiv · 10.1101/2022.08.18.504396
Pre-symptomatic reduction of individuality in the App NL-F knock-in model of Alzheimer's disease
Abstract
While one third of the risk for Alzheimers disease (AD) is explained by environment and lifestyle, AD pathology also affects individual lifestyle, possibly long before clinical manifestation of dementia. To study this hidden disease effect with its potentially large impact on coping with AD, we examined in mice how the AppNL-F/NL-F (NL-F) knock-in mutation affects the pre-symptomatic response to environmental enrichment (ENR). We assessed the emergence of inter-individual phenotypic variation while both genetic background and the shared environment were held constant, thereby isolating the contribution of individual behavior ( non-shared environment). After 4 months of ENR, in NL-F both mean and variability of plasma ApoE were increased, suggesting a pre-symptomatic variation in pathogenic processes. Roaming entropy (RE) as a measure of behavioral activity was continuously assessed with radiofrequency identification (RFID) technology and revealed reduced habituation and variance in NL-F compared to controls. Intra-individual variation decreased but behavioral predictability and stability were reduced in NL-F. Seven months after discontinuation of ENR we found no difference in plaque size and number, but ENR increased variance in hippocampal plaque counts in NL-F. A reactive increase in adult hippocampal neurogenesis in NL-F, known from other models, was normalized by ENR. Our data suggest that, while NL-F has early effects on individual behavioral patterns in response to ENR, there are lasting effects at the level of cellular plasticity even after discontinuation of ENR. Hence, early behavior matters for maintaining individual behavioral trajectories and brain plasticity even under maximally constraint conditions.
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Ehret, F., Pelz, M. S., Grzyb, A. N., Gonzales Soto, K., Liu, H., Kempermann, G.. 2022-08-21. Pre-symptomatic reduction of individuality in the App NL-F knock-in model of Alzheimer's disease. https://doi.org/10.1101/2022.08.18.504396
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