INTRODUCTIONWe evaluated associations between plasma and neuroimaging‐derived biomarkers of Alzheimer's disease and related dementias and the impact of health‐related comorbidities.METHODSWe examined plasma biomarkers (neurofilament light chain, glial fibrillary acidic protein, amyloid beta [Aβ] 42/40, phosphorylated tau 181) and neuroimaging measures of amyloid deposition (Aβ‐positron emission tomography [PET]), total brain volume, white matter hyperintensity volume, diffusion‐weighted fractional anisotropy, and neurite orientation dispersion and density imaging free water. Participants were adjudicated as cognitively unimpaired (CU; N = 299), mild cognitive impairment (MCI; N = 192), or dementia (DEM; N = 65). Biomarkers were compared across groups stratified by diagnosis, sex, race, and APOE ε4 carrier status. General linear models examined plasma‐imaging associations before and after adjusting for demographics (age, sex, race, education), APOE ε4 status, medications, diagnosis, and other factors (estimated glomerular filtration rate [eGFR], body mass index [BMI]).RESULTSPlasma biomarkers differed across diagnostic groups (DEM > MCI > CU), were altered in Aβ‐PET‐positive individuals, and were associated with poorer brain health and kidney function.DISCUSSIONeGFR and BMI did not substantially impact associations between plasma and neuroimaging biomarkers.Highlights Plasma biomarkers differ across diagnostic groups (DEM > MCI > CU) and are altered in Aβ‐PET‐positive individuals. Altered plasma biomarker levels are associated with poorer brain health and kidney function. Plasma and neuroimaging biomarker associations are largely independent of comorbidities.

中文翻译：

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阿尔茨海默病和相关痴呆的血浆、MRI 和淀粉样蛋白 PET 生物标志物之间的关联以及社区居住队列中健康相关合并症的影响


简介我们评估了阿尔茨海默病和相关痴呆的血浆和神经影像衍生生物标志物之间的关联以及健康相关合并症的影响。方法我们检查了血浆生物标志物（神经丝轻链、神经胶质原纤维酸性蛋白、β淀粉样蛋白 [Aβ] 42/40、磷酸化 tau 蛋白） 181）和淀粉样蛋白沉积的神经影像学测量（Aβ-正电子发射断层扫描[PET]）、总脑体积、白质高信号体积、扩散加权分数各向异性、神经突定向分散和自由水密度成像。参与者被判定为认知未受损（CU；N = 299）、轻度认知受损（MCI；N = 192）或痴呆（DEM；N = 65）。按诊断、性别、种族和 APOE ε4 携带者状态分层，比较各组的生物标志物。一般线性模型检查了调整人口统计数据（年龄、性别、种族、教育）、APOE ε4 状态、药物、诊断和其他因素（估计肾小球滤过率 [eGFR]、体重指数 [BMI] 之前和之后的血浆影像关联性结果血浆生物标志物在不同诊断组之间存在差异（DEM > MCI > CU），在 Aβ-PET 阳性个体中发生改变，并且与较差的大脑健康和肾功能相关。讨论 eGFR 和 BMI 并没有显着影响血浆和神经影像生物标志物之间的关联.亮点血浆生物标志物在不同的诊断组中存在差异（DEM > MCI > CU），并且在 Aβ-PET 阳性个体中发生改变。血浆生物标志物水平的改变与大脑健康状况和肾功能较差有关。血浆和神经影像生物标志物的关联在很大程度上与合并症无关。