Synaptic ATPases system of rat frontal cerebral cortex during aging.

Neurosci Lett

Department of Biology and Biotechnology, University of Pavia, Laboratory of Pharmacology and Molecular Medicine of Central Nervous System, University of Pavia, Via Ferrata, 9, 27100, Pavia, Italy. Electronic address:

Published: February 2019

Energy metabolism is fundamental to maintain Central Nervous System homeostasis because of high requirement of adenosine triphosphate (ATP), that is necessary to sustain neuronal events. During aging, changes in brain bioenergetics may influence the recovery of cerebral tissue in coping with pathophysiological conditions and pharmacological treatments. For this reason, we have previously studied enzyme catalytic activities related to energy-yielding systems. In the present study, the maximum rates (V) of some enzymatic activities related to energy consumption (ATPases) were evaluated on synaptic plasma membranes (S.P.M.) isolated from frontal cerebral cortex of male Wistar rats aged 2, 6, 12, 18 and 24 months, because of the key role of these enzymes in modulating presynaptic nerve ending homeostasis. The following enzyme activities were evaluated: Na, K, Mg-ATPase; ouabain-insensitive Mg-ATPase; Na, K-ATPase; specific Mg-ATPase; Ca, Mg-ATPase; acetylcholinesterase (AChE). The present results show that both the activities of (i) ATPases and (ii) AChE were significantly decreased during aging. Comparing these observations with those previously done on rat striatum on the same functional parameters and in the same experimental settings, ATPases activities were influenced by the age factor in different ways, suggesting that the frontal cerebral cortex independently adapt to the different age-dependent biochemical situations at each single age. Overall, this experimental approach is therefore important to add pieces of information for the understanding of the correlation between aging and brain energy metabolism, and could be a suitable model to assess also drug effects, differentiating between different cerebral areas.

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http://dx.doi.org/10.1016/j.neulet.2018.11.028DOI Listing

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