Adult bone marrow-derived mesenchymal stem cells (MSCs) are regarded as potential candidates for treatment of neurodegenerative disorders, because of their ability to promote neurogenesis. MSCs promote neurogenesis by differentiating into neural lineages as well as by expressing neurotrophic factors that enhance the survival and differentiation of neural progenitor cells. Depression has been associated with impaired neurogenesis in the hippocampus and dentate gyrus. Therefore, the aim of this study was to analyze the therapeutic potential of MSCs in the Flinders sensitive line (FSL), a rat animal model for depression. Rats received an intracerebroventricular injection of culture-expanded and 1,1 0 -dioctadecyl-3,3,3 0 ,3 0 -tetramethylindocarbocyanine perchlorate (DiI)-labeled bone marrow-derived MSCs (10 5 cells). MSC-transplanted FSL rats showed significant improvement in their behavioral performance, as measured by the forced swim test and the dominant-submissive relationship (DSR) paradigm. After transplantation, MSCs migrated mainly to the ipsilateral dentate gyrus, CA1 and CA3 regions of the hippocampus, and to a lesser extent to the thalamus, hypothalamus, cortex and contralateral hippocampus. Neurogenesis was increased in the ipsilateral dentate gyrus and hippocampus of engrafted rats (granular cell layer) and was correlated with MSC engraftment and behavioral performance. We therefore postulate that MSCs may serve as a novel modality for treating depressive disorders.

Depressive disorders affect approximately 5% of the population in any given year. Antidepressants may require several weeks to produce their clinical effects. Despite progress being made in this area there is still room and a need to explore additional therapeutic modes to increase treatment effectiveness and responsiveness. Herein, we examined a new method for intervention in depressive states based on deep brain stimulation of the ventral tegmental area (VTA) as a source of incentive motivation and hedonia, in comparison to chemical antidepressants. The pattern of stimulation was fashioned to mimic the firing pattern of VTA neurons in the normal rat. Behavioral manifestations of depression were then monitored weekly using a battery of behavioral tests. The results suggest that treatment with programmed acute electrical stimulation of the VTA substantially alleviates depressive behavior, as compared to chemical antidepressants or electroconvulsive therapy, both in onset time and longitudinal effect. These results were also highly correlated with increases in brainderived neurotrophic factor mRNA levels in the prefrontal cortex.

Alterations in the levels of dehydroepiandrosterone (DHEA) in the brain can allosterically modulate g-aminobutyric-acid-type-A (GABA A R), N-methyl-D-aspartate (NMDAR), and Sigma-1 (s1R) receptors. In humans, DHEA has antidepressive effects; however, the mechanism is unknown. We examined whether alterations in DHEA also occur in an animal model of depression, the Flinders-sensitiveline (FSL) rats, with the intention of determining the brain site of DHEA action and its antidepressant mechanism. We discovered that DHEA levels were lower in some brain regions involved with depression of FSL rats compared to Sprague-Dawley (SD) controls. Moreover, DHEA (1 mg/kg IP for 14 days)-treated FSL rats were more mobile in the forced swim test than FSL controls. In the NAc and VTA, significant changes were observed in the levels of the d-subunit of GABA A , but not of s1R mRNA, in FSL rats compared to SD rats. The d-subunit controls the sensitivity of the GABA A R to the neurosteroid. Indeed, treatment (14 days) of FSL rats with the GABA A agonist muscimol (0.5 mg/kg), together with DHEA (a negative modulator of GABA A ), reversed the effect of DHEA on immobility in the swim test. Perfusion of DHEA sulfate (DHEAS) (3 nM and 30 nM for 14 days) into the VTA and NAc of FSL rats improved their performance in the swim test for at least 3 weeks post-treatment. Our results imply that alterations in DHEA are involved in the pathophysiology of depression and that the antidepressant action of DHEA is mediated via GABA A Rs in the NAc and VTA.

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Post-traumatic stress disorder (PTSD) is an anxiety disorder that may develop after the experiencing or witnessing of a life-threatening event. PTSD is defined by the coexistence of three clusters of symptoms: re-experiencing, avoidance and hyperarousal, which persist for at least 1 month in survivors of the event (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition). Using an established model of PTSD, we addressed the well-accepted clinical finding that only a minority (about 20%) of the individuals exposed to a traumatic event develop PTSD. Moreover, we followed individual rat behavior for up to a month, and then treated the PTSD-like animals with citalopram. Our data demonstrate high face (20% of rats exposed to a reminder of the stressor develop symptoms characteristic of PTSD) and predictive (response to citalopram) validities. Based on these validities we identified alterations in the Wolframin gene in the CA1 and amygdala regions, specifically in exposed PTSD-like rats, which were normalized after treatment with citalopram. We suggest the Wolframin gene as a putative biomarker for PTSD. Since Wolframin gene undergoes alternative splicing and has polymorphism in the population, it may serve a future marker for identification of the vulnerable population exposed to a traumatic event.

Although depressive disorders affect approximately 5% of the population in developed countries each year, current antidepressants usually require several weeks to produce beneficial clinical effects and are only effective in about 55% of patients. Therefore, early prediction of the effectiveness of a particular antidepressant for a patient is important for effective pharmacological treatment of depression. In this study, we examined a new method, based on mathematical analyses, of exploratory behavior for predicting the effectiveness of particular antidepressants shortly after initiation of treatment. By using this method, we were able to predict the effectiveness of antidepressants 1-3 days after initiation of treatment in individual subjects.