Objective
Rates of depression and anxiety are constantly surging, resulting in a growing global mental health crisis. These two disorders have a remarkably high prevalence of comorbidity, with anxiety generally preceding depression. However, the biological basis of these disorders and their comorbidity is poorly understood, leaving millions of patients with inadequate treatments and thus an urgent need for improved medications. Accumulating evidence suggests that both disorders involve GABAergic deficits, but the nature of these deficits is undefined and may be the holy grail for cracking the mysteries of depression and anxiety comorbidity. Here, I will apply cutting-edge technologies to focus on hippocampal GABAergic interneurons (INs) and propose a data-driven hypothesis for the cellular and molecular basis of anxiety and depression comorbidity. I suggest that INs selectively recruit microglia to reshape inhibition in the depressed brain. This hypothesis may provide the missing link between major hallmarks of depression: GABAergic deficits, synaptic loss, and neuroinflammation. I seek to unravel the molecular adaptations of INs to stress that lead to microglia recruitment and connect them with anxiety preceding depression. Finally, I will elucidate a novel model for innate anxiolysis mediated by local dendritic translation in INs. I will combine, for the first time, the robustness of two analytical methods: translating ribosome sequencing and spatial transcriptomics to identify the involved genes, the INs subtypes expressing them, and their hippocampal location. These data will be complemented by calcium imaging, behavioral tests, imaging, connectomics, and electrophysiology. ZoomINs targets an urgent public health concern by providing a novel hypothesis for a long-standing question: what causes anxiety and depression comorbidity? The results of this ambitious project will set the ground for the development of INs-targeting medications, giving hope to millions worldwide.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugs
- natural scienceschemical sciencesinorganic chemistryalkaline earth metals
- social sciencessocial geographytransportnavigation systemsinertial navigation system
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Keywords
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Topic(s)
Funding Scheme
HORIZON-ERC - HORIZON ERC GrantsHost institution
91904 Jerusalem
Israel