Qiu Conglong, Zhang Danhua, Wang Majie, Mei Xi, Chen Wei, Yu Haihang, Yin Weiwei, Peng Guoping, Hu Shaohua
Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Department of Psychiatry, Affiliated Kangning Hospital of Ningbo University, Ningbo, Zhejiang, China.
CNS Neurosci Ther. 2025 Jan;31(1):e70204. doi: 10.1111/cns.70204.
Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) are common neurodegenerative diseases with distinct but overlapping pathogenic mechanisms. The clinical similarities between these diseases often result in high misdiagnosis rates, leading to serious consequences. Peripheral blood mononuclear cells (PBMCs) are easy to collect and can accurately reflect the immune characteristics of both DLB and AD.
We utilized time-of-flight mass cytometry (CyTOF) with single-cell resolution to quantitatively analyze peripheral PBMCs, identifying 1228 immune characteristics. Based on the top-selected immune features, we constructed immunological elastic net (iEN) models.
These models demonstrated high diagnostic efficacy in distinguishing diseased samples from healthy donors as well as distinguishing AD and DLB cases. The selected features reveal that the primary peripheral immune characteristic of AD is a decrease in total T cells, while DLB is characterized by low expression of I-kappa-B-alpha (IKBα) in the classical monocyte subset.
These findings suggest that peripheral immune characteristics could serve as potential biomarkers, facilitating the diagnosis of neurodegenerative diseases.
阿尔茨海默病(AD)和路易体痴呆(DLB)是常见的神经退行性疾病,其致病机制不同但有重叠。这些疾病在临床上的相似性常常导致误诊率很高,从而产生严重后果。外周血单个核细胞(PBMC)易于采集,能够准确反映DLB和AD的免疫特征。
我们利用具有单细胞分辨率的飞行时间质谱细胞术(CyTOF)对外周PBMC进行定量分析,确定了1228种免疫特征。基于精选的免疫特征,我们构建了免疫弹性网络(iEN)模型。
这些模型在区分患病样本与健康供体以及区分AD和DLB病例方面显示出高诊断效能。所选特征表明,AD主要的外周免疫特征是总T细胞减少,而DLB的特征是经典单核细胞亚群中I-κB-α(IKBα)表达低。
这些发现表明外周免疫特征可作为潜在的生物标志物,有助于神经退行性疾病的诊断。