Sarkar Ishita, Snippe-Strauss Maja, Tenenhaus Zamir Adi, Benhos Amir, Richter-Levin Gal
Sagol Department of Neurobiology, University of Haifa, Haifa, Israel.
School of Psychological Sciences, University of Haifa, Haifa, Israel.
Front Neurosci. 2022 Dec 22;16:1071482. doi: 10.3389/fnins.2022.1071482. eCollection 2022.
A major challenge in treating post-traumatic stress disorder (PTSD) continues to be the large variability in responsiveness to pharmacotherapy. Only 20-30% of patients experience total remission to a specific treatment, while others demonstrate either partial remission or no response. However, this heterogeneity in response to pharmacotherapy has not been adequately addressed in animal models, since these analyze the averaged group effects, ignoring the individual variability to treatment response, which seriously compromises the translation power of such models. Here we examined the possibility of employing an "" approach, originally developed to differentiate between "affected" and "exposed-unaffected" individuals in an animal model of PTSD, to also enable dissociating "" or "" after SSRI (fluoxetine) treatment. Importantly, this approach does not rely on a group averaged response to a single behavioral parameter, but considers a cluster of behavioral parameters, to individually characterize an animal as either "" or "" to the treatment. The main variable to assess drug efficacy thus being the proportion of "" following treatment. Alteration in excitatory/inhibitory (E/I) balance has been proposed as being associated with stress-related psychopathology. Toward a functional proof of concept for our behaviorally-based characterization approach, we examined the expression patterns of α1 and α2 subunits of GABA receptor, and GluN1 and GluN2A subunits of the NMDAR receptor in the ventral hippocampus, as well as electrophysiologically local circuit activity in the dorsal dentate gyrus (DG). We demonstrate that with both parameters, treatment "" differed from treatment "," confirming the functional validity of the behavior-based categorization. The results suggest that the ability to respond to fluoxetine treatment may be linked to the ability to modulate excitation-inhibition balance in the hippocampus. We propose that employing the "" approach, and the resultant novel variable of the proportion of "recovered" individuals following treatment, offers an effective translational tool to assess pharmacotherapy treatment efficacy in animal models of stress and trauma-related psychopathology.
创伤后应激障碍(PTSD)治疗中的一个主要挑战仍然是药物治疗反应的巨大变异性。只有20%至30%的患者对特定治疗完全缓解,而其他患者则表现为部分缓解或无反应。然而,药物治疗反应的这种异质性在动物模型中尚未得到充分解决,因为这些模型分析的是平均群体效应,忽略了个体对治疗反应的变异性,这严重损害了此类模型的转化能力。在这里,我们研究了采用一种“”方法的可能性,该方法最初是为了在PTSD动物模型中区分“受影响”和“暴露但未受影响”的个体,同时也能够在SSRI(氟西汀)治疗后区分“”或“”。重要的是,这种方法不依赖于对单个行为参数的群体平均反应,而是考虑一组行为参数,以单独将动物表征为对治疗“”或“”。因此,评估药物疗效的主要变量是治疗后“”的比例。兴奋性/抑制性(E/I)平衡的改变被认为与应激相关的精神病理学有关。为了对我们基于行为的表征方法进行功能概念验证,我们研究了腹侧海马中GABA受体的α1和α2亚基以及NMDAR受体的GluN1和GluN2A亚基的表达模式,以及背侧齿状回(DG)中的电生理局部回路活动。我们证明,对于这两个参数,治疗“”与治疗“”不同,并证实了基于行为的分类的功能有效性。结果表明,对氟西汀治疗的反应能力可能与调节海马中兴奋-抑制平衡的能力有关。我们建议采用“”方法以及由此产生的治疗后“康复”个体比例这一新变量,提供了一种有效的转化工具,以评估应激和创伤相关精神病理学动物模型中的药物治疗疗效。