Wang Shinan, Liu Dequan, Li Haiyan, Jia Xiaodong, Zhou Hailan, Yu Wenying, Li Tong, Pan Liping, Chen Baorong, Wang Yujia, Zhan Nan, Song Yijun, Yan Keqiang
Tianjin Medical University General Hospital, Tianjin, China.
Hebei Yanda Hospital Geriatric Medicine Department, Shijiazhuang, Hebei, China.
Front Aging Neurosci. 2025 Mar 26;17:1554805. doi: 10.3389/fnagi.2025.1554805. eCollection 2025.
The Simoa platform is recognized as a highly sensitive tool for detecting blood-based biomarkers of Alzheimer's disease (AD). It is extensively utilized in the diagnosis and identification of AD, with accuracy emerging as a pivotal metric for assessing assay performance, gradually gaining acceptance and application. The primary objective of this study was to assess the diagnostic efficacy of multiple biomarkers in AD using the Simoa platform. The ultimate goal was to identify the optimal diagnostic biomarkers and further investigate their practical application value in the Chinese population.
The study comprised two cohorts: cohort I consisted of 151 healthy controls and 90 AD patients, while cohort II was sourced from a Chinese population cohort, encompassing 123 healthy controls and 126 AD patients, utilizing publicly available data. All patients underwent plasma biomarker concentration measurements using the Simoa platform. The specificity, sensitivity, and accuracy of these biomarkers for AD diagnosis were compared to evaluate their diagnostic efficacy.
The findings revealed that plasma P-tau217 exhibited excellent performance in differentiating AD from healthy controls, with a sensitivity of 95.0%, specificity of 96.0%, and accuracy of 95.7% for AD diagnosis. Conversely, other indicators, including Aβ42, Aβ42/40, T-tau/Aβ42, P-tau217/Aβ42 and P-tau181, demonstrated some diagnostic efficacy but fell short of meeting the diagnostic criteria.
P-tau217 stands out as a highly effective biomarker for distinguishing AD from CUC, exhibiting extensive clinical application potential in the Chinese population. It presents a promising array of clinical prospects for the Chinese population.
Simoa平台被认为是检测阿尔茨海默病(AD)血液生物标志物的高灵敏度工具。它在AD的诊断和识别中被广泛应用,准确性已成为评估检测性能的关键指标,并逐渐得到认可和应用。本研究的主要目的是使用Simoa平台评估多种生物标志物在AD中的诊断效能。最终目标是确定最佳诊断生物标志物,并进一步研究其在中国人群中的实际应用价值。
该研究包括两个队列:队列I由151名健康对照者和90名AD患者组成,而队列II来自中国人群队列,包括123名健康对照者和126名AD患者,利用公开可用的数据。所有患者均使用Simoa平台进行血浆生物标志物浓度测量。比较这些生物标志物对AD诊断的特异性、敏感性和准确性,以评估其诊断效能。
研究结果显示,血浆P-tau217在区分AD与健康对照方面表现出色,对AD诊断的敏感性为95.0%,特异性为96.0%,准确性为95.7%。相反,其他指标,包括Aβ42、Aβ42/40、T-tau/Aβ42、P-tau217/Aβ42和P-tau181,显示出一定的诊断效能,但未达到诊断标准。
P-tau217是区分AD与健康对照的高效生物标志物,在中国人群中具有广泛的临床应用潜力。它为中国人群展现了一系列有前景的临床前景。