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The Effect of the APOE Genotype on Individual BrainAGE in Normal Aging Mild Cognitive Impairment and Alzheimer’s Disease

机译:在正常衰老轻度认知障碍和阿尔茨海默氏病中APOE基因型对个体大脑年龄的影响

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摘要

In our aging society, diseases in the elderly come more and more into focus. An important issue in research is Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) with their causes, diagnosis, treatment, and disease prediction. We applied the Brain Age Gap Estimation (BrainAGE) method to examine the impact of the Apolipoprotein E (APOE) genotype on structural brain aging, utilizing longitudinal magnetic resonance image (MRI) data of 405 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. We tested for differences in neuroanatomical aging between carrier and non-carrier of APOE ε4 within the diagnostic groups and for longitudinal changes in individual brain aging during about three years follow-up. We further examined whether a combination of BrainAGE and APOE status could improve prediction accuracy of conversion to AD in MCI patients. The influence of the APOE status on conversion from MCI to AD was analyzed within all allelic subgroups as well as for ε4 carriers and non-carriers. The BrainAGE scores differed significantly between normal controls, stable MCI (sMCI) and progressive MCI (pMCI) as well as AD patients. Differences in BrainAGE changing rates over time were observed for APOE ε4 carrier status as well as in the pMCI and AD groups. At baseline and during follow-up, BrainAGE scores correlated significantly with neuropsychological test scores in APOE ε4 carriers and non-carriers, especially in pMCI and AD patients. Prediction of conversion was most accurate using the BrainAGE score as compared to neuropsychological test scores, even when the patient’s APOE status was unknown. For assessing the individual risk of coming down with AD as well as predicting conversion from MCI to AD, the BrainAGE method proves to be a useful and accurate tool even if the information of the patient’s APOE status is missing.
机译:在我们的老龄化社会中,老年人的疾病越来越受到关注。研究中的一个重要问题是轻度认知障碍(MCI)和阿尔茨海默氏病(AD)及其病因,诊断,治疗和疾病预测。我们应用了大脑年龄差距估计(BrainAGE)方法来研究载脂蛋白E(APOE)基因型对结构性大脑衰老的影响,利用来自阿尔茨海默氏病神经影像学倡议(ADNI)数据库的405位受试者的纵向磁共振图像(MRI)数据。我们测试了诊断组内APOEε4携带者和非携带者之间神经解剖学衰老的差异,以及大约三年随访期间个体脑衰老的纵向变化。我们进一步检查了BrainAGE和APOE状态的组合是否可以提高MCI患者转换为AD的预测准确性。在所有等位基因亚组内以及ε4携带者和非携带者中,分析了APOE状态对从MCI转化为AD的影响。正常对照,稳定MCI(sMCI)和进行性MCI(pMCI)以及AD患者之间的BrainAGE得分差异显着。对于APOEε4携带者状态以及pMCI和AD组,观察到的BrainAGE变化率随时间的差异。在基线和随访期间,在APOEε4携带者和非携带者中,尤其是pMCI和AD患者中,BrainAGE得分与神经心理学测试得分显着相关。相较于神经心理学测验分数,使用BrainAGE分数对转换的预测最为准确,即使患者的APOE状态未知。为了评估罹患AD的个体风险以及预测从MCI到AD的转化,即使缺少患者APOE状态的信息,BrainAGE方法也被证明是一种有用且准确的工具。

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