Ren Ziye, Chu Changbiao, Pang Yana, Cai Huimin, Jia Longfei
Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 45 Changchun St, Beijing, China.
Biomark Res. 2022 Aug 18;10(1):63. doi: 10.1186/s40364-022-00405-0.
Circular RNAs (circRNAs) have been demonstrated to be associated with Alzheimer's disease (AD). Here, we conducted a study to explore whether circRNAs have the ability to differentiate AD from cognitively normal controls and other types of dementia, such as vascular dementia (VaD), Parkinson's disease dementia (PDD), behavioral variant frontotemporal dementia (bvFTD), and dementia with Lewy body (DLB).
Three datasets were included in this study to measure blood circRNAs. The pilot study (Dataset 1, n = 40; controls, 20; AD, 20) was used to screen differentially expressed circRNAs. Dataset 2 (n = 124; controls, 61; AD, 63) was recruited for the establishment of the diagnostic model using a circRNA panel. Further, the Dataset 3 (n = 321; control, 58; AD, 60; VaD, 50; PDD, 51; bvFTD, 52; DLB, 50) was used to verify the diagnostic model.
In Dataset 1, 22 upregulated and 19 downregulated circRNAs were revealed. In Dataset 2, a six-circRNA panel was found to be able to distinguish patients with AD from controls. Then this panel was applied to Dataset 3 and successfully differentiated AD from other types of dementia.
This study suggested that a six-circRNA panel is AD-specific and a promising biomarker of AD.
环状RNA（circRNA）已被证明与阿尔茨海默病（AD）有关。在此，我们开展了一项研究，以探索circRNA是否有能力将AD与认知正常对照以及其他类型的痴呆区分开来，如血管性痴呆（VaD）、帕金森病痴呆（PDD）、行为变异型额颞叶痴呆（bvFTD）和路易体痴呆（DLB）。
本研究纳入三个数据集以测量血液中的circRNA。初步研究（数据集1，n = 40；对照组20例；AD组20例）用于筛选差异表达的circRNA。数据集2（n = 124；对照组61例；AD组63例）用于使用circRNA组合建立诊断模型。此外，数据集3（n = 321；对照组58例；AD组60例；VaD组50例；PDD组51例；bvFTD组52例；DLB组50例）用于验证诊断模型。
在数据集1中，发现22种circRNA上调，19种circRNA下调。在数据集2中，发现一个由六种circRNA组成的组合能够区分AD患者与对照组。然后将该组合应用于数据集3，并成功地将AD与其他类型的痴呆区分开来。
本研究表明，一个由六种circRNA组成的组合具有AD特异性，是一种有前景的AD生物标志物。
