Lawrence Berkeley National Laboratory, Berkeley, California
Helen Wills Neuroscience Institute, University of California-Berkeley, Berkeley, California.
J Nucl Med. 2019 Oct;60(10):1444-1451. doi: 10.2967/jnumed.118.224113. Epub 2019 Mar 15.
Measuring early tau accumulation is important in studying aging and Alzheimer disease and is only as accurate as the signal-to-noise ratio of the tracer. Along with aggregated tau in the form of neurofibrillary tangles, F-flortaucipir has been reported to bind to neuromelanin, monoamine oxidase, calcifications, iron, leptomeningeal melanocytes, and microhemorrages. Although F-flortaucipir successfully differentiates healthy controls (HCs) from subjects with Alzheimer disease, variability exists in the cortical signal in amyloid-negative HCs. We aimed to explore the relationship between off-target binding signal and variability in the cortical signal in HCs. Subjects ( = 139) received C-Pittsburgh compound B (PIB) and F-flortaucipir PET scans and a magnetization-prepared rapid gradient echo MRI scan. PET frames were realigned and coregistered to the MR images, which were segmented using FreeSurfer. In amyloid-negative HCs ( = 90; age range, 21-94 y), 7 nonspecific or off-target binding regions were considered: caudate, pallidum, putamen, thalamus, cerebellar white matter, hemispheric white matter, and choroid plexus. These regions of interest were assigned to 3 similarly behaving groups using principle components analysis, exploratory factor analysis, and Pearson correlations for caudate, putamen, and pallidum (also correlated with age); thalamus and white matter; and choroid plexus. In amyloid-negative HCs with C-PIB and F-flortaucipir scans, correlations were calculated between white and gray matter before and after partial-volume correction. The correlation between white and gray matter disappeared after partial-volume correction in C-PIB ( = 0) but persisted for F-flortaucipir ( = 0.27), demonstrating that the correlation between white and gray matter signal in F-flortaucipir is not solely due to partial-volume effects. A linear regression showed that off-target signal from putamen and thalamus together explained 64% of the variability in the cortical signal in amyloid-negative HCs (not seen in amyloid-positive HCs). Variability in amyloid-negative HCs but not amyloid-positive HCs correlated with white matter signal (unrelated to partial-volume effects) and age-related off-target signal (possibly related to iron load). The noise in the F-flortaucipir measurement could pose challenges when studying early tau accumulation.
测量早期tau 积累对于研究衰老和阿尔茨海默病很重要,其准确性取决于示踪剂的信噪比。除了神经纤维缠结形式的聚集 tau 外,F-flortaucipir 还被报道与神经黑色素、单胺氧化酶、钙化、铁、软脑膜黑色素细胞和微出血有关。虽然 F-flortaucipir 可以成功地区分健康对照者(HCs)和阿尔茨海默病患者,但在淀粉样阴性 HCs 中皮质信号存在变异性。我们旨在探讨 HCs 中皮质信号的脱靶结合信号与变异性之间的关系。共纳入 139 名受试者,进行 C-Pittsburgh 化合物 B(PIB)和 F-flortaucipir PET 扫描和磁化准备快速梯度回波 MRI 扫描。将 PET 帧重新配准到 MR 图像上,并使用 FreeSurfer 对其进行分割。在淀粉样阴性 HCs(n=90;年龄范围 21-94 岁)中,考虑了 7 个非特异性或脱靶结合区域:尾状核、苍白球、壳核、丘脑、小脑白质、大脑半球白质和脉络丛。使用主成分分析、探索性因子分析和 Pearson 相关性分析,将这些感兴趣区域分配到 3 个具有相似行为的组中,这些组与尾状核、壳核和苍白球(也与年龄相关);丘脑和白质;脉络丛。在淀粉样阴性 HCs 中,在进行部分容积校正前后,计算了白质和灰质之间的相关性。在 C-PIB 中(=0),部分容积校正后白质和灰质之间的相关性消失,但在 F-flortaucipir 中(=0.27)仍然存在,表明 F-flortaucipir 中白质和灰质信号之间的相关性不仅仅是由于部分容积效应。线性回归显示,来自壳核和丘脑的脱靶信号共同解释了淀粉样阴性 HCs 皮质信号变异性的 64%(在淀粉样阳性 HCs 中未见)。淀粉样阴性 HCs 的变异性与白质信号(与部分容积效应无关)和与年龄相关的脱靶信号(可能与铁负荷有关)相关,但淀粉样阳性 HCs 没有相关性。F-flortaucipir 测量中的噪声可能会对早期 tau 积累的研究构成挑战。