Ali Farwa, Syrjanen Jeremy A, Figdore Dan J, Kremers Walter K, Mielke Michelle M, Jack Clifford R, Knopman David S, Vemuri Prashanthi, Graff-Radford Jonathan, Windham B Gwen, Barnard Leland R, Petersen Ronald C, Algeciras-Schimnich Alicia
Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Commun Med (Lond). 2025 Jan 16;5(1):19. doi: 10.1038/s43856-024-00713-6.
Declining gait performance is seen in aging individuals, due to neural and systemic factors. Plasma biomarkers provide an accessible way to assess evolving brain changes; non-specific neurodegeneration (NfL, GFAP) or evolving Alzheimer's disease (Aβ 42/40 ratio, P-Tau181).
In a population-based cohort of older adults, we evaluate the hypothesis that plasma biomarkers of neurodegeneration and Alzheimer's Disease pathology are associated with worse gait performance. A sample of 2641 Mayo Clinic Study of Aging participants with measurements of plasma biomarkers and gait parameters was analyzed in this cross-sectional study. Linear regression models using plasma biomarkers as predictors of gait parameters and adjusted for age, sex, BMI, Charlson Comorbidity Index, and cognitive diagnosis were evaluated.
In this study multiple statistically significant relationships are observed for GFAP, NfL, and P-Tau181 with gait parameters. Each standard deviation increase in GFAP, NfL, and P-Tau181 is associated with a reduction in velocity of 2.100 (95% CI: -3.004, -1.196; p = 5.4 × 10), 4.400 (-5.292, -3.507; p = 9.5 × 10), and 2.617 (-3.414, -1.819; p = 1.5 × 10) cm/sec, respectively. Overall, NfL has the strongest associations with poor gait performance. Models with age interactions show that the strength of associations between the plasma biomarkers and the gait parameters became stronger with increasing age. There are no specific gait parameters that associate with individual plasma biomarkers.
Plasma biomarkers of neurodegeneration and Alzheimer's Disease pathology are not only markers of cognitive decline but also indicate motor decline in the aging population.
由于神经和全身因素,老年人的步态表现会下降。血浆生物标志物提供了一种评估大脑变化的便捷方法;包括非特异性神经退行性变(神经丝轻链蛋白、胶质纤维酸性蛋白)或阿尔茨海默病进展(β淀粉样蛋白42/40比值、磷酸化tau蛋白181)。
在一个基于人群的老年队列中,我们评估神经退行性变和阿尔茨海默病病理的血浆生物标志物与较差步态表现相关的假设。在这项横断面研究中,对2641名梅奥诊所衰老研究参与者的样本进行了分析,这些参与者测量了血浆生物标志物和步态参数。评估了使用血浆生物标志物作为步态参数预测指标并根据年龄、性别、体重指数、查尔森合并症指数和认知诊断进行调整的线性回归模型。
在本研究中,观察到胶质纤维酸性蛋白、神经丝轻链蛋白和磷酸化tau蛋白181与步态参数之间存在多个具有统计学意义的关系。胶质纤维酸性蛋白、神经丝轻链蛋白和磷酸化tau蛋白181每增加一个标准差,速度分别降低2.100(95%置信区间:-3.004,-1.196;p = 5.4×10)、4.400(-5.292,-3.507;p = 9.5×10)和2.617(-3.414,-1.819;p = 1.5×10)厘米/秒。总体而言,神经丝轻链蛋白与不良步态表现的关联最强。具有年龄交互作用的模型表明,血浆生物标志物与步态参数之间的关联强度随着年龄的增加而增强。没有特定的步态参数与个体血浆生物标志物相关。
神经退行性变和阿尔茨海默病病理的血浆生物标志物不仅是认知衰退的标志物,也表明老年人群的运动功能衰退。