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结构磁共振成像可预测症状前遗传性额颞叶痴呆的临床进展:来自遗传性额颞叶痴呆倡议队列的研究结果。

Structural MRI predicts clinical progression in presymptomatic genetic frontotemporal dementia: findings from the GENetic Frontotemporal dementia Initiative cohort.

作者信息

Bocchetta Martina, Todd Emily G, Bouzigues Arabella, Cash David M, Nicholas Jennifer M, Convery Rhian S, Russell Lucy L, Thomas David L, Malone Ian B, Iglesias Juan Eugenio, van Swieten John C, Jiskoot Lize C, Seelaar Harro, Borroni Barbara, Galimberti Daniela, Sanchez-Valle Raquel, Laforce Robert, Moreno Fermin, Synofzik Matthis, Graff Caroline, Masellis Mario, Tartaglia Maria Carmela, Rowe James B, Vandenberghe Rik, Finger Elizabeth, Tagliavini Fabrizio, de Mendonça Alexandre, Santana Isabel, Butler Chris R, Ducharme Simon, Gerhard Alexander, Danek Adrian, Levin Johannes, Otto Markus, Sorbi Sandro, Le Ber Isabelle, Pasquier Florence, Rohrer Jonathan D

机构信息

Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.

Centre for Cognitive and Clinical Neuroscience, Division of Psychology, Department of Life Sciences, Medicine and Life Sciences, College of Health, Brunel University London, London, United Kingdom.

出版信息

Brain Commun. 2023 Mar 10;5(2):fcad061. doi: 10.1093/braincomms/fcad061. eCollection 2023.

Abstract

Biomarkers that can predict disease progression in individuals with genetic frontotemporal dementia are urgently needed. We aimed to identify whether baseline MRI-based grey and white matter abnormalities are associated with different clinical progression profiles in presymptomatic mutation carriers in the GENetic Frontotemporal dementia Initiative. Three hundred eighty-seven mutation carriers were included (160 , 160 , 67 ), together with 240 non-carrier cognitively normal controls. Cortical and subcortical grey matter volumes were generated using automated parcellation methods on volumetric 3T T1-weighted MRI scans, while white matter characteristics were estimated using diffusion tensor imaging. Mutation carriers were divided into two disease stages based on their global CDR®+NACC-FTLD score: presymptomatic (0 or 0.5) and fully symptomatic (1 or greater). The -scores in each grey matter volumes and white matter diffusion measures were computed to quantify the degree of abnormality compared to controls for each presymptomatic carrier, adjusting for their age, sex, total intracranial volume, and scanner type. Presymptomatic carriers were classified as 'normal' or 'abnormal' based on whether their grey matter volume and white matter diffusion measure -scores were above or below the cut point corresponding to the 10th percentile of the controls. We then compared the change in disease severity between baseline and one year later in both the 'normal' and 'abnormal' groups within each genetic subtype, as measured by the CDR®+NACC-FTLD sum-of-boxes score and revised Cambridge Behavioural Inventory total score. Overall, presymptomatic carriers with normal regional -scores at baseline did not progress clinically as much as those with abnormal regional -scores. Having abnormal grey or white matter measures at baseline was associated with a statistically significant increase in the CDR®+NACC-FTLD of up to 4 points in expansion carriers, and 5 points in the group as well as a statistically significant increase in the revised Cambridge Behavioural Inventory of up to 11 points in , 10 points in and 8 points in mutation carriers. Baseline regional brain abnormalities on MRI in presymptomatic mutation carriers are associated with different profiles of clinical progression over time. These results may be helpful to inform stratification of participants in future trials.

摘要

迫切需要能够预测遗传性额颞叶痴呆患者疾病进展的生物标志物。我们旨在确定在遗传性额颞叶痴呆倡议中,基于基线MRI的灰质和白质异常是否与症状前突变携带者的不同临床进展情况相关。研究纳入了387名突变携带者(160名 、160名 、67名 ),以及240名认知正常的非携带者对照。使用自动分割方法在容积性3T T1加权MRI扫描上生成皮质和皮质下灰质体积,同时使用扩散张量成像估计白质特征。根据全球CDR®+NACC-FTLD评分,突变携带者被分为两个疾病阶段:症状前(0或0.5)和完全症状性(1或更高)。计算每个灰质体积和白质扩散测量中的 -分数,以量化每个症状前携带者与对照相比的异常程度,并对其年龄、性别、总颅内体积和扫描仪类型进行调整。根据灰质体积和白质扩散测量 -分数是否高于或低于对应于对照第10百分位数的切点,将症状前携带者分类为“正常”或“异常”。然后,我们比较了每个基因亚型中“正常”和“异常”组在基线和一年后的疾病严重程度变化,通过CDR®+NACC-FTLD盒式总和评分和修订后的剑桥行为量表总分来衡量。总体而言,基线时区域 -分数正常的症状前携带者在临床上的进展不如区域 -分数异常的携带者。基线时灰质或白质测量异常与 扩展携带者的CDR®+NACC-FTLD在统计学上显著增加高达4分、 组增加5分相关,以及与 突变携带者的修订剑桥行为量表在统计学上显著增加高达11分、 突变携带者增加10分和 突变携带者增加8分相关。症状前突变携带者MRI上的基线区域脑异常与随时间变化的不同临床进展情况相关。这些结果可能有助于为未来试验中的参与者分层提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/10036293/499c98d6b058/fcad061_ga1.jpg

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