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April 5th, 2025
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Lukasiewicz Research Network - PORT Polish Center for Technology Development, Wroclaw, Poland
neuroscience
biorxiv

Glucocorticoid receptors mediate reprogramming of astrocytes in depression.

Dalbeyler, S.Open in Google Scholar•Herud, A.Open in Google Scholar•Zglinicki, B.Open in Google Scholar•Ziuzia, P.Open in Google Scholar•Piechota, M.Open in Google Scholar•Hoinkis, D.Open in Google Scholar•Bergauer, L.Open in Google Scholar•Pando, C. M.Open in Google Scholar•Soltys, Z.Open in Google Scholar•Hanus, P.Open in Google Scholaret al.

Psychiatric disorders are among the most pressing problems of the modern society, with various forms of depression affecting more than 300 millions of people worldwide. Dysfunction of glial cells has consistently been reported in major depressive disorder (MDD); however, no comprehensive resource detailing glial dysfunction is available. To provide insight into neurobiological mechanisms behind severe psychiatric symptoms, we performed transcriptional analysis of post-mortem samples from a subpopulation of suicide completers with previously reported glial abnormalities. We focused on BA25, a subregion of the prefrontal cortex prioritized for targeted medical interventions, due to its metabolic aberrations in disease. We found that a significant portion of genes deregulated in MDD is enriched in glia, with astrocyte-specific genes representing the highest fraction. Then we employed a novel protocol for enriching astrocytic nuclei to provide a detailed molecular signature of astrocytes in MDD. The analysis of the gene set revealed the glucocorticoid receptor (GR) as a key regulatory transcription factor. We found that astrocyte-specific elimination of the GR in mice largely prevented transcriptional, metabolic and behavioral changes elicited by chronic stress. We also demonstrated that regional manipulation of glutamate turnover in astrocytes suffices to elicit discrete traits of depressive-like behavior. Our data points to astrocytes as a key cellular site of convergence of multiple traits of depression and provide a resource for exploring novel targets for glia-focused therapeutic approaches.

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