Transforming cerebrospinal fluid Aβ42 measures into calculated Pittsburgh Compound B units of brain Aβ amyloid.

Transforming cerebrospinal fluid Aβ42 measures into calculated Pittsburgh Compound B units of brain Aβ amyloid.
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DOI:
10.1016/j.jalz.2010.08.230
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发表时间:
2011-03
期刊:
Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子:
--
通讯作者:
Alzheimer's Disease Neuroimaging Initiative
Alzheimer's Disease Neuroimaging Initiative
中科院分区:
其他
文献类型:
--
作者:
Weigand SD;Vemuri P;Wiste HJ;Senjem ML;Pankratz VS;Aisen PS;Weiner MW;Petersen RC;Shaw LM;Trojanowski JQ;Knopman DS;Jack CR Jr;Alzheimer's Disease Neuroimaging Initiative

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PIB PET和CSF Aβ42表现出高度显著的负相关性。两者都被认为是测量脑Aβ淀粉样蛋白负荷。我们的目标是开发一种方法,将CSF Aβ42测量值转换为Aβ淀粉样蛋白负荷的计算PIB测量值(PIBcalc),并在独立受试者样本中部分验证该方法。41例ADNI患者同时接受PIB PET成像和腰椎穿刺(LP)。该样本被称为“训练”样本(9例认知正常(CN)、22例MCI和10例AD),用于开发回归模型,通过该模型将CSF Aβ42(以APOE ε4基因型作为协变量)转换为PIB PET(PIBcalc)单位。362例(105例CN,164例MCI,93例AD)ADNI受试者的独立“支持”样本接受了LP但未接受PIB PET成像,其CSF Aβ42值转换为PIB calc。将这些值与ADNI受试者(n = 102)中发现的总体PIB PET分布进行比较。线性回归模型显示,从训练样本中获得的CSF Aβ42测量值可良好预测实际PIB PET(R2 = 0.77,P<0.001)。362例接受LP但未接受PIB PET成像的ADNI受试者的支持性样本中的PIBcalc数据(来自CSF Aβ42)表明,组分布与较大的ADNI PIB PET分布和已发表的PIB PET成像研究高度一致。尽管该模型的精确参数特定于ADNI样本,但我们得出结论,CSF Aβ42可转换为Aβ淀粉样蛋白负荷的计算PIB(PIBcalc)测量值。在治疗性或观察性研究中,可以通过CSF或淀粉样蛋白PET成像在基线时确定脑Aβ淀粉样蛋白负荷,并且可以使用完善的多重插补技术合并数据,该技术可以解释基于CSF计算的PIB值的不确定性。
PIB PET and CSF Aβ42 demonstrate a highly significant inverse correlation. Both are presumed to measure brain Aβ amyloid load. Our objectives were to develop a method to transform CSF Aβ42 measures into calculated PIB measures (PIBcalc) of Aβ amyloid load, and to partially validate the method in an independent sample of subjects. Forty-one ADNI subjects underwent PIB PET imaging and lumbar puncture (LP) at the same time. This sample, referred to as the “training” sample (9 cognitively normal (CN), 22 MCI, and 10 AD), was used to develop a regression model by which CSF Aβ42 (with APOE ε4 genotype as a covariate) was transformed into units of PIB PET (PIBcalc). An independent “supporting” sample of 362 (105 CN, 164 MCI, 93AD) ADNI subjects who underwent LP but not PIB PET imaging had their CSF Aβ42 values converted to PIBcalc. These values were compared to the overall PIB PET distribution found in the ADNI subjects (n = 102). A linear regression model demonstrates good prediction of actual PIB PET from CSF Aβ42 measures obtained in the training sample (R2 = 0.77, P<0.001). PIBcalc data (derived from CSF Aβ42) in the supporting sample of 362 ADNI subjects who underwent LP but not PIB PET imaging demonstrates group-wise distributions that are highly consistent with the larger ADNI PIB PET distribution and with published PIB PET imaging studies. Although the precise parameters of this model are specific for the ADNI sample, we conclude that CSF Aβ42 can be transformed into calculated PIB (PIBcalc) measures of Aβ amyloid load. Brain Aβ amyloid load can be ascertained at baseline in therapeutic or observational studies by either CSF or amyloid PET imaging and the data can be pooled using well-established multiple imputation techniques that account for the uncertainty in a CSF-based calculated PIB value.
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