@article {Luo10.1212 / WNL。0000000000207378,作者= {Jingqin罗Yinjiao Ma和Folasade简Agboola伊丽莎白格兰特和约翰·C·莫里斯和埃里克·麦克达德和安妮·M费根和塔米L.S. Benzinger杰森Hassenstab兰德尔·J贝特曼和理查德佩兰和布莱恩·戈登和马努Goyal和杰里米·F株Igor Yakushev和格雷戈里节Chengjie熊和主导性继承了老年痴呆症网络(滇)},title ={纵向关系白质Hyperintensities和阿尔茨海默病的生物标志物在成人寿命},elocation-id = {10.1212 / WNL。={2023}0000000000207378},年,doi = {10.1212 / WNL。出版商0000000000207378}= {Wolters Kluwer健康,公司代表美国神经病学学会},文摘={背景和目标。首页白质hyperintensities(负责人)与阿尔茨海默病(AD)生物标志物横向比较和调节AD发病机制。纵向变化对广告生物标志物已报告,包括浓度的脑脊液(CSF) Aβ42 Aβ40,总τ(τ)和磷酸化tau181 (pTau181),标准摄入值比率(SUVR)分子成像的脑纤维β-amyloid正电子发射断层扫描(PET)使用c[11]匹兹堡化合物b(加以)、磁共振成像(MRI)的海马体积和皮质厚度。建立广告生物标志物和纵向变化之间的相关性研究负责人没有充分评估,尤其是在认知正常成人lifespan.Methods个人。我们共同分析纵向数据建立广告的负责人卷和每个生物标志物和认知从371年认知正常个体的基线跨越了从19.6到88.20岁从四个纵向研究的衰老和广告。两阶段算法应用于确定基线年龄的拐点,年长的参与者一个加速纵向研究负责人体积的变化,相比年轻的参与者。纵向研究负责人体积之间的相关性和广告生物标志物models.Results二元线性混合效应的估计。增加纵向研究负责人成交量与宠物淀粉样蛋白吸收,增加纵向和MRI海马体积,减少皮质厚度和认知。 The inflection-point of baseline age in WMH volume was identified at 60.46 (95\% CI: 56.43\~{}64.49) years, with the annual increase for the older participants (83.12 [SE=10.19] mm3/year) more than 13 times faster (p\<0.0001) than that for the younger participants (6.35 [SE=5.63] mm3/year). Accelerated rates of change among the older participants were similarly observed in almost all the AD biomarkers. Longitudinal correlations of WMH volume with MRI, PET amyloid biomarkers, and cognition appeared to be numerically stronger for the younger participants, but not significantly different from those for the older participants. Carrying APOE ε4 alleles did not alter the longitudinal correlations between WMH and AD biomarkers.Discussion. Longitudinal increases in WMH volume started to accelerate around a baseline age of 60.46 years, and correlated with the longitudinal change in PET amyloid uptake, MRI structural outcomes, and cognition.}, issn = {0028-3878}, URL = {//www.ez-admanager.com/content/early/2023/05/18/WNL.0000000000207378}, eprint = {//www.ez-admanager.com/content/early/2023/05/18/WNL.0000000000207378.full.pdf}, journal = {Neurology} }