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Electric foot-shock induces neurobehavioral aberrations due to imbalance in oxidative status, stress hormone, neurochemical profile, and irregular cortical-beta wave pattern in rats: A validated animal model of anxiety

焦虑 神经化学 心理学 压力源 神经科学 医学 精神科
作者
Rida Nisar,Zehra Batool,Saida Haider
出处
期刊:Life Sciences [Elsevier BV]
卷期号:323: 121707-121707 被引量:8
标识
DOI:10.1016/j.lfs.2023.121707
摘要

Neuropsychiatric disorders can be modeled on animals to investigate the neural mechanism underlying these disorders. Models of neuropsychiatric disorders, such as anxiety, basically aim to produce the signs and symptoms of human anxiety disorders in laboratory animals. Electric foot-shock is recommended to induce anxiety-like symptoms in rodents. For this purpose, however, a range of current intensities is available in the literature. The present study aims to modify the existing practices of generating anxiety-like symptoms through electric foot-shock by identifying an optimum current intensity and combining it with behavioral paradigms to produce a rat model of anxiety. Furthermore, the validity of the model was confirmed by checking the fulfillment of three validity criteria necessary for the development of any disease model including face validity, construct validity, and predictive validity. In the current study, after pre-testing, 1.0 mA electric intensity was selected to produce the model of anxiety. The results showed that the induction of 1.0 mA electric foot-shock induces abnormal behavioral effects which were similar to anxiety-like effects as evident by social interaction test, light-dark transition test, and open field test. Moreover, aberrations in the levels of the stress hormone, oxidative stress parameters, hippocampal neurotransmitter levels, and cortical-EEG wave pattern were also observed in the rat model of anxiety which were successfully overcome using diazepam. In conclusion, the outcome of our study suggests that electric foot-shock can be an adequate stressor to produce a validated animal model of anxiety and this model can be confidently used to identify and screen new and/or novel anxiolytics.
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