Ceftriaxone Attenuated Anxiety-Like Behavior and Enhanced Brain Glutamate Transport in Zebrafish Subjected to Alcohol Withdrawal
NEUROCHEMICAL RESEARCH
Authors: Agostini, Jotele Fontana; Costa, Naithan Ludian Fernandes; Bernardo, Henrique Teza; Baldin, Samira Leila; Mendes, Niuany Viel; Pickler, Karolyne; Manenti, Maria Cecilia; Rico, Eduardo Pacheco
Abstract
Chronic and/or excessive consumption of alcohol followed by reduced consumption or abstention can result in Alcohol Withdrawal Syndrome. A number of behavioral changes and neurological damage result from ethanol (EtOH) withdrawal. Ceftriaxone (Cef) modulates the activity of excitatory amino acid transporters by increasing their gene expression. Zebrafish are commonly used to study alcohol exposure. The aim of this study was to evaluate the influence of Cef (100 mu M) on behavior patterns, glutamate transport activity, and oxidative stress in zebrafish brains subjected to EtOH (0.3% v/v) withdrawal. The exploratory tests using Novel tank showed that EtOH withdrawal promoted a decrease in the time spent and number of entries of in the bottom displaying an anxiety-like behavior. In contrast, treatment with Cef resulted in recovery of exploratory behavioral patterns. Ceftriaxone treatment resulted in increased glutamate uptake in zebrafish subjected to EtOH withdrawal. Furthermore, EtOH withdrawal increased reactive species, as determined using thiobarbituric acid and dichlorodihydrofluorescein assays. Treatment with Cef reversed these effects. Ceftriaxone promoted a significant reduction in brain sulfhydryl content in zebrafish subjected to EtOH withdrawal. Therefore, Cef treatment in conjunction with EtOH withdrawal induced anxiolytic-like effects due to possible neuromodulation of glutamatergic transporters, potentially through mitigation of oxidative stress.
Discussion on "Torque Ripple Minimization of PMSM Based on Robust ILC via Adaptive Sliding Mode Control"
IEEE ACCESS
Authors: Zhang, Xiaoyu
Abstract
This discussion note extends the robust iterative learning control (RILC) design for a class of nonlinear systems with unknown dynamic and control gain uncertainty by discussing and amending the preliminary design. To minimize the tracking error of the steady state from the initial time instant, adaptive robust controller design is first presented based on the integral sliding mode (ISM) surface. Then, an appropriate update law in the iteration domain for the designed controller is organized by a composite energy function (CEF). The convergence of the ISM is obtained. Finally, the RILC design based on the ISM is applied to a simulation of a one-link robotic manipulator. The simulation results validate the performance of the control design.