In vivo18F-DOPA PET imaging identifies a dopaminergic deficit in a rat model with a G51D α-synuclein mutation

纹状体 黑质 多巴胺能 多巴胺 α-突触核蛋白 帕金森病 内科学 内分泌学 正电子发射断层摄影术 神经科学 化学 生物 医学 疾病
作者
Victoria Morley,Karamjit Singh Dolt,Carlos J. Alcaide‐Corral,Tashfeen Walton,Christophe Lucatelli,Tomoji Mashimo,Adriana Tavares,Tilo Kunath
出处
期刊:Frontiers in Neuroscience [Frontiers Media SA]
卷期号:17 被引量:8
标识
DOI:10.3389/fnins.2023.1095761
摘要

Parkinson’s disease (PD) is a neurodegenerative condition with several major hallmarks, including loss of substantia nigra neurons, reduction in striatal dopaminergic function, and formation of α-synuclein-rich Lewy bodies. Mutations in SNCA , encoding for α-synuclein, are a known cause of familial PD, and the G51D mutation causes a particularly aggressive form of the condition. CRISPR/Cas9 technology was used to introduce the G51D mutation into the endogenous rat SNCA gene. SNCA G51D/+ and SNCA G51D/G51D rats were born in Mendelian ratios and did not exhibit any severe behavourial defects. L -3,4-dihydroxy-6- 18 F-fluorophenylalanine ( 18 F-DOPA) positron emission tomography (PET) imaging was used to investigate this novel rat model. Wild-type (WT), SNCA G51D/+ and SNCA G51D/G51D rats were characterized over the course of ageing (5, 11, and 16 months old) using 18 F-DOPA PET imaging and kinetic modelling. We measured the influx rate constant ( K i ) and effective distribution volume ratio ( EDVR ) of 18 F-DOPA in the striatum relative to the cerebellum in WT, SNCA G51D/+ and SNCA G51D/G51D rats. A significant reduction in EDVR was observed in SNCA G51D/G51D rats at 16 months of age indicative of increased dopamine turnover. Furthermore, we observed a significant asymmetry in EDVR between the left and right striatum in aged SNCA G51D/G51D rats. The increased and asymmetric dopamine turnover observed in the striatum of aged SNCA G51D/G51D rats reflects one aspect of prodromal PD, and suggests the presence of compensatory mechanisms. SNCA G51D rats represent a novel genetic model of PD, and kinetic modelling of 18 F-DOPA PET data has identified a highly relevant early disease phenotype.
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