Novel Panel of Long Noncoding RNAs as Diagnostic Biomarkers for Amnestic Mild Cognitive Impairment in Peripheral Blood

Author:

Wang Tao123,Zhang Wei23,Maclin Joshua M.A.4,Xu Hua23,Hong Bo23,Yan Feng23,Liu Yuanyuan23,He Haining23,Liang Huafeng1,Li Chunbo2,Fang Yiru5,Xiao Shifu23

Affiliation:

1. Department of Neurology, Wuxi Branch of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Wuxi, China

2. Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China

3. Alzheimer’s Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China

4. Biological Sciences Department, Laboratory for Tissue Engineering and Morphogenesis, Rensselaer Polytechnic Institute, Troy, NY, USA

5. Department of Psychiatry and Affective Disorders Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Abstract

Background: Long noncoding RNAs (lncRNAs) regulate the pathogenesis of Alzheimer’s disease (AD). Objective: To identify lncRNAs in the peripheral blood as potential diagnostic biomarkers for amnestic mild cognitive impairment. Methods: In the discovery group, a microarray was used to screen for significant differences in lncRNA expression between patients with mild cognitive impairment (MCI) caused by AD and normal controls (NCs) (n = 10; MCI, 5; NC, 5). Furthermore, two analytic groups were assessed (analytic group 1: n = 10; amnestic MCI (aMCI), 5; NC, 5; analytic group 2: n = 30; AD, 10; aMCI, 10; NC, 10) and finalized in the validation group (n = 150; AD, 50; aMCI, 50; NC, 50). In the analytic and validation groups, real-time quantitative reverse-transcription polymerase chain reaction was used to identify differentially expressed lncRNAs between the aMCI and NC groups. Results: We identified 67 upregulated and 220 downregulated lncRNAs among the expression profiles. The panel with lncRNAs T324988, NR_024049, ENST00000567919, and ENST00000549762 displayed the highest discrimination ability between patients with aMCI and NCs. The area under the receiver operating characteristic curve of this combined model was 0.941, with a sensitivity of 92.00% and specificity of 84.00%. Conclusions: This study reports on a panel of four lncRNAs as promising biomarkers to diagnose aMCIs.

Publisher

IOS Press

Reference46 articles.

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