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Showing papers by "Michela Gallagher published in 2023"


Journal ArticleDOI
TL;DR: In this paper , age-associated changes in mGluR-dependent long-term potentiation (LTP) and depression (LTD) were studied in the APP/PS1 mouse model of AD and in Octodon degu, a rodent model of aging that exhibits features of AD.
Abstract: Long-term potentiation (LTP) and depression (LTD) are currently the most comprehensive models of synaptic plasticity models to subserve learning and memory. In the CA1 region of the hippocampus LTP and LTD can be induced by the activation of either NMDA receptors or mGluR5 metabotropic glutamate receptors. Alterations in either form of synaptic plasticity, NMDAR-dependent or mGluR-dependent, are attractive candidates to contribute to learning deficits in conditions like Alzheimer’s disease (AD) and aging. Research, however, has focused predominantly on NMDAR-dependent forms of LTP and LTD. Here we studied age-associated changes in mGluR-dependent LTP and LTD in the APP/PS1 mouse model of AD and in Octodon degu, a rodent model of aging that exhibits features of AD. At 2 months of age, APP/PS1 mouse exhibited robust mGluR-dependent LTP and LTD that was completely lost by the 8th month of age. The expression of mGluR protein in the hippocampus of APP/PS1 mice was not affected, consistent with previous findings indicating the uncoupling of the plasticity cascade from mGluR5 activation. In O. degu, the average mGluR-LTD magnitude is reduced by half by the 3rd year of age. In aged O. degu individuals, the reduced mGluR-LTD correlated with reduced performance in a radial arm maze task. Altogether these findings support the idea that the preservation of mGluR-dependent synaptic plasticity is essential for the preservation of learning capacity during aging.

Journal ArticleDOI
Davide Angioni, O. Hansson, Randall J. Bateman, Christina Rabe, Masoud Toloue, Joel B. Braunstein, Samuel Agus, John R. Sims, Tobias Bittner, Maria C. Carrillo, Howard Fillit, Colin L. Masters, Shirley E. Salloway, Paul S. Aisen, Michael W. Weiner, Bruno Vellas, S. Gauthier, Susan Abushakra, Mohammad Afshar, J. Alam, Alicia Algeciras-Schimnich, Sandrine Andrieu, Clive Ballard, Amos Baruch, Richard Batrla, Monika Baudler, Joanne Bell, Sasha Bozeat, Dawn A. Brooks, Szofia S. Bullain, Jan Burmeister, M Cho, Gavin J. Cook, Susan De Santi, Rachelle S. Doody, Billy Dunn, Rianne Esquivel, Tom Fagan, Phyllis Ferrell, Michela Gallagher, A. D. B. Hains, Harald Hampel, Nanco R. Hefting, Suzanne Hendrix, Carole Ho, Helen Hu, Zahinoor Ismail, Gene G. Kinney, Paul Kinnon, Ricky Kurzman, Lars Lannfelt, J T Lawson, N Lebastard, Valerie Legrand, Nicole M. Lewandowski, Carine Z. J. Lim, Constantine G. Lyketsos, Donna Masterman, Ming Liu, Mark A. Mintun, José Luis Molinuevo, Cecilia Monteiro, Bradford Navia, Tomas Odergren, Gunilla Osswald, Lewis Penny, Michael J. Pontecorvo, Anton P. Porsteinsson, Rema Raman, Gesine Respondek, Larisa Reyderman, Sharon M. Rogers, Paul A. Rosenberg, Sharon Rosenzweig-Lipson, Mark T. Roskey, Ziad A. Saad, Rachel Schindler, Dennis J. Selkoe, Melanie B. Shulman, Kaycee M. Sink, L.H. Sipe, Daniel Skovronsky, Elizabeth A. Somers, Maria Soto, Johannes Streffer, Pedro Such, Joyce Suhy, Jacques Touchon, Manu Vandijck, Anne Terry White, Wagner Zago, Jin Zhou 
13 Jun 2023-JPAD
TL;DR: In randomized clinical trials (RCTs) for Alzheimer's disease (AD), cerebrospinal fluid (CSF) and positron emission tomography (PET) biomarkers are currently used for the detection and monitoring of AD pathological features as discussed by the authors .
Abstract: In randomized clinical trials (RCTs) for Alzheimer’s Disease (AD), cerebrospinal fluid (CSF) and positron emission tomography (PET) biomarkers are currently used for the detection and monitoring of AD pathological features. The use of less resource-intensive plasma biomarkers could decrease the burden to study volunteers and limit costs and time for study enrollment. Blood-based markers (BBMs) could thus play an important role in improving the design and the conduct of RCTs on AD. It remains to be determined if the data available on BBMs are strong enough to replace CSF and PET biomarkers as entry criteria and monitoring tools in RCTs.