@article{oai:repo.qst.go.jp:00080461,
 author = {Zhang, Lingling and Kuan, Hu and Shao, Tuo and Hou, Lu and Zhang, Shaojuan and Ye, Weijian and Josephson, Lee and H. Meyer, Jeffrey and Ming-Rong, Zhang and Vasdev, Neil and Wang, Jinghao and Xu, Hao and Lu, Wang and Liang, Huan and Kuan, Hu and Zhang, Ming-Rong and Lu, Wang and Liang, Huan},
 issue = {2},
 journal = {Acta Pharmaceutica Sinica B},
 month = {Feb},
 note = {The 18 kDa translocator protein (TSPO), previously known as the peripheral benzodiazepine receptor, is predominately localized to the outer mitochondrial membrane in steroidogenic cells. Brain TSPO expression is relatively low under physiological conditions, but is upregulated in response to glial cell activation. As the primary index of neuroinflammation, TSPO is implicated in the pathogenesis and progression of numerous neuropsychiatric disorders and neurodegenerative diseases, including Alzheimer’s disease (AD), amyotrophic lateral sclerosis (ALS), Parkinson’s disease (PD), multiple sclerosis (MS), major depressive disorder (MDD) and obsessive compulsive disorder (OCD). In this context, numerous TSPO-targeted positron emission tomography (PET) tracers have been developed. Among them, several radioligands have advanced to clinical research studies. In this review, we will overview the recent development of TSPO PET tracers, focusing on the radioligand design, radioisotope labeling, pharmacokinetics, and PET imaging evaluation. Additionally, we will consider current limitations, as well as translational potential for future application of TSPO radiopharmaceuticals. This review aims to not only present the challenges in current TSPO PET imaging, but to also provide a new perspective on TSPO targeted PET tracer discovery efforts. Addressing these challenges will facilitate the translation of TSPO in clinical studies of neuroinflammation associated with central nervous system diseases.},
 pages = {373--393},
 title = {Recent developments on PET radiotracers for TSPO and their applications in neuroimaging},
 volume = {11},
 year = {2021}
}