[(11) C]arachidonic acid incorporation measurement in human brain: Optimization for clinical use.
[(11) C]arachidonic acid incorporation measurement in human brain: Optimization for clinical use.
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DOI：
10.1002/syn.22018
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发表时间：
2018-03
期刊：
影响因子：
--
通讯作者：
Sublette ME
中科院分区：
文献类型：
--
作者：
Zanderigo F;Kang Y;Kumar D;Nikolopoulou A;Mozley PD;Kothari PJ;He B;Schlyer D;Rapoport SI;Oquendo MA;Vallabhajosula S;Mann JJ;Sublette ME
花生四烯酸（AA）参与信号转导、神经炎症和类花生酸代谢产物的产生。AA脑掺入系数（K*）可使用[11 C]AA正电子发射断层扫描在体内定量，但重复性仍未确定。我们评估了基于人群的代谢物校正（PBMC）和图像衍生输入函数（IDIF）获得的K* 估计值与基于动脉血的估计值的比较，并比较了重复性。11名健康志愿者接受了[11 C]AA扫描; 5名在6周后重复扫描，模拟治疗前和治疗后的研究设计。对于所有扫描，采集动脉血以测量[11 C] AA血浆放射性。在5次扫描中测量血浆[11 C]AA母体分数。使用血液数据和IDIF对K* 进行定量，使用PBMC（来自公布值）和单独测量值（可用时）对[11 C]AA母体分数进行校正。在重测子集中计算K* 重复性。基于血液和单个代谢物的K* 估计值与使用PBMC与动脉输入功能（r = 0.943）或IDIF（r = 0.918）在测量代谢物的子集中的估计值高度相关。在总数据集中，使用PBMC，基于IDIF的估计值与基于动脉输入功能的估计值中度相关（r = 0.712）。基于PBMC和IDIF的K* 估计值平均比基于血液的估计值高出6.4%至11.9%。使用血液数据或IDIF获得的平均K* 重测绝对百分比差异值（假设两者均为PBMC）在6.7%至13.9%之间，与其他放射性示踪剂相当。我们的研究结果支持简化[11 C]AA数据采集的可能性，通过消除动脉血采样和代谢物分析，同时保持可比的重复性和有效性。
Arachidonic acid (AA) is involved in signal transduction, neuroinflammation, and production of eico-sanoid metabolites. The AA brain incorporation coefficient (K*) is quantifiable in vivo using [11C]AA positron emission tomography, although repeatability remains undetermined. We evaluated K* estimates obtained with population-based metabolite correction (PBMC) and image-derived input function (IDIF) in comparison to arterial blood-based estimates, and compared repeatability. Eleven healthy volunteers underwent a [11C]AA scan; five repeated the scan 6 weeks later, simulating a pre- and post-treatment study design. For all scans, arterial blood was sampled to measure [11C] AA plasma radioactivity. Plasma [11C]AA parent fraction was measured in 5 scans. K* was quantified using both blood data and IDIF, corrected for [11C]AA parent fraction using both PBMC (from published values) and individually measured values (when available). K* repeatability was calculated in the test-retest subset. K* estimates based on blood and individual metabolites were highly correlated with estimates using PBMC with arterial input function (r = 0.943) or IDIF (r = 0.918) in the subset with measured metabolites. In the total dataset, using PBMC, IDIF-based estimates were moderately correlated with arterial input function-based estimates (r = 0.712). PBMC and IDIF-based K* estimates were ∼6.4% to ∼11.9% higher, on average, than blood-based estimates. Average K* test-retest absolute percent difference values obtained using blood data or IDIF, assuming PBMC for both, were between 6.7% and 13.9%, comparable to other radiotracers. Our results support the possibility of simplified [11C]AA data acquisition through eliminating arterial blood sampling and metabolite analysis, while retaining comparable repeatability and validity.
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作者：
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DOI：
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