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Cited by 44Cancer-related molecular mechanisms researchAlzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

A Signature of Five Long Non-Coding RNAs for Predicting the Prognosis of Alzheimer's Disease Based on Competing Endogenous RNA Networks

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Huaying, Cai, Xing, Jin, Luya, Jin, Linhui, Ni, Di, Sun, Xianjun, Ding·2021·Frontiers in Aging Neuroscience
DOI 10.3389/fnagi.2020.598606PMC PMC7876075
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Abstract

Long non-coding RNAs (lncRNAs) play important roles in the pathogenesis of Alzheimer's disease (AD). However, the functions and regulatory mechanisms of lncRNA are largely unclear. Herein, we obtained 3,158 lncRNAs by microarray re-annotation. A global network of competing endogenous RNAs (ceRNAs) was developed for AD and normal samples were based on the gene expressions profiles. A total of 255 AD-deficient messenger RNA (mRNA)-lncRNAs were identified by the expression correlation analysis. Genes in the dysregulated ceRNAs were found to be mainly enriched in transcription factors and micro RNAs (miRNAs). Analysis of the disordered miRNA in the lncRNA-mRNA network revealed that 40 pairs of lncRNA shared more than one disordered miRNA. Among them, nine lncRNAs were closely associated with AD, Parkinson's disease, and other neurodegenerative diseases. Of note, five lncRNAs were found to be potential biomarkers for AD. Real-time quantitative reverse transcription PCR (qRT-PCR) assay revealed that PART1 was downregulated, while SNHG14 was upregulated in AD serum samples when compared to normal samples. This study elucidates the role of lncRNAs in the pathogenesis of AD and presents new lncRNAs that can be exploited to design diagnostic and therapeutic agents for AD.

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  • PART1 is down-regulated in brain regions BM22 and BM36.

    “We also detected the down-regulation of PART1 in brain regions BM22 and BM36, which is consistent with previous studies using gene expression data from the Gene Expression Omnibus dataset (74).”

    From Comprehensive characterization of the transcriptional landscape in Alzheimer’s disease (AD) brains (2025) · cites this paper as [74]

    The Results section, “Diagnostic Power of Dysregulated lncRNAs in AD” (page unavailable), reports that PART1 was downregulated in serum samples from patients with AD and followed a similar trend in the bioinformatics analysis. It does not report PART1 downregulation specifically in brain regions BM22 and BM36, so the cited paper supports the direction of the finding but not the claimed locations. (LLM, conf=0.85)

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Authors
Huaying, C., Xing, J., Luya, J., Linhui, N., Di, S., & Xianjun, D.
Affiliations
Sir Run Run Shaw Hospital (CN)
Corresponding author
Xianjun, Ding
Venue
Frontiers in Aging Neuroscience
Publisher
Frontiers Media SA
Published
2021-01-28
Volume
12
Pages
598606-598606
ISSN
1663-4365 (ISSN-L)
DOI
10.3389/fnagi.2020.598606
PMC
PMC7876075
OpenAlex
W3122635476
Cited by
44
References
55
Citations by year
2026: 3 · 2025: 5 · 2024: 15 · 2023: 4 · 2022: 8 · 2021: 9
FWCI
3.58
Type
journal article
Language
en
Open access
Licence
Locations
  • Frontiers in Aging Neuroscience (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Natural Science Foundation of China (LY16H060002, 2018RC045, LY19H090027, 81400926)
  • Medical and Health Research Project of Zhejiang Province (2018RC045)
  • Natural Science Foundation of Zhejiang Province (2018RC045, LY19H090027, LY16H060002, 81400926)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
Alzheimer's disease, long non-coding RNA, competing endogenous RNA network, lncRNA-mRNA network, prognostic factors, SNHG14, microRNA dysregulation, neurodegenerative diseases, serum gene expression

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