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PET Imaging of Neuroinflammation Using [11C]DPA-713 in a Mouse Model of Ischemic Stroke
Published on: June 14, 2018
PET Imaging Unveils Neuroinflammatory Mechanisms in Psychiatric Disorders: From Microglial Activation to Therapeutic
Yu-Dan Liu1, Yi-Heng Chang1, Xue-Ting Xie1
1Department of Neurology, The First Affiliated Hospital of Dalian Medical University, No.222, Zhongshan Road, Xigang District, Dalian, China.
Abstract:
Recent advancements in neuroinflammation research have significantly enhanced our understanding of its pivotal role in the pathogenesis and pathophysiology of psychiatric disorders. Positron emission tomography (PET) imaging, leveraging its unique ability to quantify biological processes in vivo non-invasively, has emerged as a transformative tool for investigating neuroimmune mechanisms. The 18 kDa translocator protein (TSPO), a biomarker of activated microglia and astrocytes during neuroinflammation, enables PET-based visualization of neuroinflammatory activity, offering novel insights into the neurobiological underpinnings of psychiatric conditions. This review synthesizes recent TSPO PET imaging findings across major psychiatric disorders, including major depressive disorder (MDD), obsessive-compulsive disorder (OCD), posttraumatic stress disorder (PTSD), schizophrenia, and psychosis. We critically evaluate how TSPO PET elucidates neuroinflammatory signatures linked to disease progression, treatment responses, and therapeutic stratification. Furthermore, we explore the translational potential of anti-inflammatory agents (e.g., celecoxib and minocycline) and TSPO-targeted ligands (e.g., etifoxine and XBD173) in modulating neurosteroid synthesis and neuroimmune interactions. By bridging methodological innovations with clinical applications, this review underscores the promise of TSPO PET in advancing diagnostic precision, personalized treatment strategies, and mechanistic insights into neuroinflammation-driven psychiatric pathologies. Challenges such as genetic polymorphisms (e.g., rs6971), partial volume effects (PVEs), and quantification biases are discussed to guide future research directions.

