Neuroscience and biobehavioral reviews · 2026
The pathophysiology of depression in Huntington's disease.
СтатьяОбзорНазвание и аннотация: Перевод в очереди
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Barta Tamrin, Glikmann-Johnston Yifat, McColgan Peter, Razi Adeel
Аннотация
Depression affects Huntington's disease (HD) gene-expansion carriers at up to four times the general population rate, yet its neurobiological underpinnings remain inadequately understood, potentially contributing to persistent symptoms and suboptimal therapeutic outcomes, despite commonly used interventions. Understanding of the pathophysiological mechanisms remains constrained by fragmented, single-level approaches that do not capture interactions between biological systems. Here, we present an illustrative multilevel, reciprocal pathophysiological framework that integrates evidence across brain network (macro), neurotransmitter (meso), and molecular and systemic (micro) scales that contribute to depression vulnerability in HD. We highlight available evidence suggesting HD-related neurobiological changes contribute to depression. Preferential vulnerability of GABAergic medium spiny neurons in HD may contribute to dysfunction across cortico-basal-ganglia-thalamic circuits, interacting with cellular, molecular, and systemic processes. At the macro level, altered neurocircuitry is represented by structural changes and functional dysconnectivity across brain networks. The meso level represents cellular and neurotransmitter alterations, including glutamatergic, serotonergic, and dopaminergic dysregulation. At the micro level, molecular and systemic alterations include neuroendocrine, immune, neurotrophic, and gut microbiota-brain axis processes. We discuss how this reciprocal framework provides a foundation for generating testable hypotheses of the mechanisms underlying depression in HD and highlight future research priorities, including improved psychiatric phenotyping, longitudinal multimodal study designs, cross-species behavioral harmonization, and integration of behavioral, circuit-level, molecular, and systemic measures.