Plasma lncRNA profiling identified BC200 and NEAT1 lncRNAs as potential blood-based biomarkers for late-onset Alzheimer’s disease

Authors

  • Majid Khodayi Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran https://orcid.org/0000-0002-5113-8582
  • Mohammad Khalaj-Kondori Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran. Tel. +984133392674; E-mail: khalaj@tabrizu.ac.ir https://orcid.org/0000-0001-9231-889X
  • Mohammad Ali Hoseinpour Feizi Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran https://orcid.org/0000-0003-3624-0615
  • Mortaza Jabarpour Bonyadi Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran https://orcid.org/0000-0003-3216-2947
  • Mahnaz Talebi Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran https://orcid.org/0000-0002-7613-3913

DOI:

https://doi.org/10.17179/excli2022-4764

Keywords:

Alzheimer’s disease, memory disorders, gene expression profile, long non-coding RNA, biomarker, early diagnosis

Abstract

Long non-coding RNAs (lncRNA) play critical roles in pathogenesis of neurodegenerative diseases. Human plasma carries lncRNAs that are stable in the blood, and their disease-specific profile have made them valuable biomarkers for some diseases. This study reports screening of the plasma levels of 90 lncRNAs in patients with Alzheimer disease (AD) to find out plasma-based AD biomarkers. Total RNA was isolated from plasma samples of 50 AD and 50 matched healthy controls. The plasma samples of 10 advanced AD patients and 10 matched healthy controls were screened for expression levels of 90 lncRNAs using Human LncRNA Profiler qPCR Array Kit (SBI). Based on the profiling results, lncRNAs BC200, NDM29, NEAT1, FAS-AS1 and GAS5-AS1 were selected for further analysis in all samples and their biomarker potency was evaluated by ROC curve analysis. We further surveyed RNAseq data by in silico analysis. We found that the NEAT1 and BC200 levels in the plasma of the AD patients were significantly higher compared with the control group (P=0.0021, p= 0.02, respectively). ROC curve analysis showed that the plasma level of NEAT1 and BC200 discriminated AD patients from healthy controls with sensitivity of 72 % and 60 %, and specificity of 84 % and 91 % respectively. Moreover, NEAT1 discriminated MCI (60 % sensitivity and 91 % specificity) and advanced-AD patients from healthy controls (73 % sensitivity and 71 % specificity). Besides, plasma level of BC200 discriminated the pre-clinical subjects from healthy controls with 83 % sensitivity and 66 % specificity. A positive correlation was also observed between plasma levels of BC200 with the age patients (r = 0.34, p=0.02). In silico RNAseq data analysis showed that a total of 33 lncRNAs were up-regulated but 13 lncRNAs were down-regulated significantly in AD patients compared with the healthy controls. In conclusion, this study elucidated that the plasma levels of lncRNAs NEAT1 and BC200 might be considered as potential blood-based biomarkers for AD development and progression.

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Published

2022-05-09

How to Cite

Khodayi, M., Khalaj-Kondori, M., Hoseinpour Feizi, M. A., Jabarpour Bonyadi, M., & Talebi, M. (2022). Plasma lncRNA profiling identified BC200 and NEAT1 lncRNAs as potential blood-based biomarkers for late-onset Alzheimer’s disease. EXCLI Journal, 21, 772–785. https://doi.org/10.17179/excli2022-4764

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