Implication du domaine intracellulaire du précurseur de la protéine amyloïde dans la modulation de la plasticité synaptique

Alzheimer's disease is the most common type of dementia in the elderly; it is characterized by early deficits in learning and memory formation and ultimately leads to a generalised loss of higher cognitive functions. While amyloid beta (Aβ) and tau are traditionally associated with the development of Alzheimer disease, recent studies suggest that other factors, like the intracellular domain (APP-ICD) of the amyloid precursor protein (APP), could play a role. In this study, we investigated whether APP-ICD could affect synaptic transmission and synaptic plasticity in the hippocampus, which is involved in learning and memory processes. Our results indicated that overexpression of APP-ICD in hippocampal CA1 neurons leads to a decrease in evoked AMPA-receptor and NMDA-receptor dependent synaptic transmission. Our study demonstrated that this effect is specific for APP-ICD since its closest homologue APLP2-ICD did not reproduce this effect. In addition, APP-ICD blocks the induction of long term potentiation (LTP) and leads to increased of expression and facilitated induction of long term depression (LTD), while APLP2-ICD shows neither of these effects. Our study showed that this difference observed in synaptic transmission and plasticity between the two intracellular domains resides in the difference of one alanine in the APP-ICD versus a proline in the APLP2-ICD. Exchanging this critical amino-acid through point-mutation, we observed that APP(PAV)-ICD had no longer an effect on synaptic plasticity. We also demonstrated that APLP2(AAV)-ICD mimic the effect of APP-ICD in regards of facilitated LTD. Next we showed that the full length APP-APLP2-APP (APP with a substitution of the Aβ component for its homologous APLP2 part) had no effect on synaptic transmission or synaptic plasticity when compared to the APP-ICD. However, by activating caspase cleavage prior to induction of LTD or LTP, we observed an LTD facilitation and a block of LTP with APP-APLP2-APP, effects that were not seen with the full length APLP2 protein. APP is phosphorylated at threonine 668 (Thr668), which is localized directly after the aforementioned critical alanine and the caspase cleavage site in APP-APLP2-APP. Mutating this Thr668 for an alanine abolishes the effects on LTD and restores LTP induction. Finally, we showed that the facilitation of LTD with APP-APLP2-APP involves ryanodine receptor dependent calcium release from intracellular stores. Taken together, we propose the emergence of a new APP intracellular domain, which plays a critical role in the regulation of synaptic plasticity and by extension, could play a role in the development of memory loss in Alzheimer’s disease.

Corrélats neuronaux de la mémoire de travail en magnétoencéphalographie à l’état de repos

Purpose: There are few studies demonstrating the link between neural oscillations in magnetoencephalography (MEG) at rest and cognitive performance. Working memory is one of the most studied cognitive processes and is the ability to manipulate information on items kept in short-term memory. Heister & al. (2013) showed correlation patterns between brain oscillations at rest in MEG and performance in a working memory task (n-back). These authors showed that delta/theta activity in fronto-parietal areas is related to working memory performance. In this study, we use resting state MEG oscillations to validate these correlations with both of verbal (VWM) and spatial (SWM) working memory, and test their specificity in comparison with other cognitive abilities. Methods: We recorded resting state MEG and used clinical neuropsychological tests to assess working memory performance in 18 volunteers (6 males and 12 females). The other neuropsychological tests of the WAIS-IV were used as control tests to assess the specificity of the correlation patterns with working memory. We calculated means of Power Spectrum Density for different frequency bands (delta, 1-4Hz; theta, 4-8Hz; alpha, 8-13Hz; beta, 13-30Hz; gamma1, 30-59Hz; gamma2, 61-90Hz; gamma3, 90-120Hz; large gamma, 30-120Hz) and correlated MEG power normalised for the maximum in each frequency band at the sensor level with working memory performance. We then grouped the sensors showing a significant correlation by using a cluster algorithm. Results: We found positive correlations between both types of working memory performance and clusters in the bilateral posterior and right fronto-temporal regions for the delta band (r2 =0.73), in the fronto-middle line and right temporal regions for the theta band (r2 =0.63) as well as in the parietal regions for the alpha band (r2 =0.78). Verbal working memory and spatial working memory share a common fronto-parietal cluster of sensors but also show specific clusters. These clusters are specific to working memory, as compared to those obtained for other cognitive abilities and right posterior parietal areas, specially in slow frequencies, appear to be specific to working memory process. Conclusions: Slow frequencies (1-13Hz) but more precisely in delta/theta bands (1-8Hz), recorded at rest with magnetoencephalography, predict working memory performance and support the role of a fronto-parietal network in working memory.