REVIEW article
Front. Cell. Neurosci.
Sec. Cellular Neuropathology
This article is part of the Research TopicExpanding the Glial Frontiers: Development, Function and PathophysiologyView all 6 articles
From Metabolism to Mood Regulation: Astrocytes as a Driver of Depression
Provisionally accepted- Niigata University, Niigata, Japan
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Astrocytes are increasingly recognized as active regulators of mood and cognition, extending far beyond their classical supportive roles. In major depressive disorder, converging evidence from postmortem analyses, magnetic resonance spectroscopy (MRS), and animal stress models points towards the possibility of astrocytic abnormalities, including reduced density, impaired glutamate–glutamine cycling, and altered mitochondrial function. However, the causal contribution of these alterations remains insufficiently defined. This review aims to summarize experimental studies employing both loss-and gain-of-function approaches to directly probe the involvement of astrocytes in depression. We first introduce which inhibited astrocytic functions induce depressive-like behaviors, and then explore how enhancing these astrocytic functions— through overexpression and pharmacological manipulation methods—rescues stress-induced depression phenotypes. We further connect astrocyte alterations with circuit-level dysfunctions and behavioral outcomes, such as impaired prefrontal–amygdala regulation and reduced mesolimbic reward responses. Finally, we discuss therapeutic opportunities including astrocyte-targeting pharmacological strategies and MRS-based biomarkers. By integrating mechanistic evidence with translational perspectives, this review positions astrocyte metabolism as a promising frontier for antidepressant development.
Keywords: animal model, Astrocytes, Depression, gain-of-function, loss-of-function
Received: 28 Dec 2025; Accepted: 06 Feb 2026.
Copyright: © 2026 Terunuma and Nasu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Miho Terunuma
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.