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Recent progress in the applications of presynaptic dopaminergic positron emission tomography imaging in parkinsonism
Yujie Yang
Xinyi Li
Jiaying Lu
Jingjie Ge
Mingjia Chen
Ruixin Yao
Mei Tian
Jian Wang
Fengtao Liu
Chuantao Zuo
Abstract:Nowadays, presynaptic dopaminergic positron emission tomography, which assesses deficiencies in dopamine synthesis, storage, and transport, is widely utilized for early diagnosis and differential diagnosis of parkinsonism. This review provides a comprehensive summary of the latest developments in the application of presynaptic dopaminergic positron emission tomography imaging in disorders that manifest parkinsonism. We conducted a thorough literature search using reputable databases such as PubMed and Web of Science. Selection criteria involved identifying peer-reviewed articles published within the last 5 years, with emphasis on their relevance to clinical applications. The findings from these studies highlight that presynaptic dopaminergic positron emission tomography has demonstrated potential not only in diagnosing and differentiating various Parkinsonian conditions but also in assessing disease severity and predicting prognosis. Moreover, when employed in conjunction with other imaging modalities and advanced analytical methods, presynaptic dopaminergic positron emission tomography has been validated as a reliable in vivo biomarker. This validation extends to screening and exploring potential neuropathological mechanisms associated with dopaminergic depletion. In summary, the insights gained from interpreting these studies are crucial for enhancing the effectiveness of preclinical investigations and clinical trials, ultimately advancing toward the goals of neuroregeneration in parkinsonian disorders.
Keywords:aromatic amino acid decarboxylasebrain imagingdopamine transporterParkinson's diseaseparkinsonismpositron emission tomographypresynaptic dopaminergic functionvesicle monoamine transporter type 2
Publication Date:2025-01-27
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:14( 93-106 )
Neural Regeneration Research

Neural Regeneration Research

ISSN:1673-5374
Year, Vol.(Issue):2025,20(1)