Fischer Florian U, Gerber Susanne, Tüscher Oliver
Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Untere Zahlbacher Straße 8 D-55131 Mainz, Germany.
Institute of Human Genetics University Medical Center Mainz, Anselm-Franz-von-Bentzel-Weg 3 D-55128 Mainz, Germany.
iScience. 2024 Oct 18;27(11):111188. doi: 10.1016/j.isci.2024.111188. eCollection 2024 Nov 15.
Statistical interaction analyses with biomarkers of pathology on cognitive outcome have been put forward to investigate neurobiological surrogates of cognitive reserve in Alzheimer's disease (AD). However, as these potential surrogates are likely affected by neurodegeneration during the course of AD, their joint alteration with biomarkers of pathology and cognitive outcome during disease progression may introduce misinterpretable interaction effects in cross-sectional studies. To demonstrate this, we conducted interaction analyses on synthetic data from a mathematical model of the AD biomarker cascade. When randomly sampling cross-sectionally, these gave interaction effects, which greatly reduced when controlling for the corresponding time point of each sampled data point. Cross-sectional studies investigating cognitive reserve using interaction analyses are advised to take into account the different time stages of the disease that individual data points represent.
为了研究阿尔茨海默病（AD）中认知储备的神经生物学替代指标，已有人提出对认知结果与病理学生物标志物进行统计交互分析。然而，由于这些潜在的替代指标在AD病程中可能受到神经退行性变的影响，它们在疾病进展过程中与病理学生物标志物和认知结果的联合改变可能会在横断面研究中引入难以解释的交互作用效应。为了证明这一点，我们对AD生物标志物级联数学模型的合成数据进行了交互分析。当进行横断面随机抽样时，这些数据产生了交互作用效应，而在控制每个抽样数据点的相应时间点时，这些效应大大降低。建议使用交互分析来研究认知储备的横断面研究考虑各个数据点所代表的疾病不同时间阶段。
