Evidence map›Paper›PMID 33584243›Full record

ArticleFrontiers in aging neuroscience2020

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

Cai Huaying, Jin Xing, Jin Luya, Ni Linhui, Sun Di, Ding Xianjun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. The Footprint ofCurrent Alzheimer research · 2025
    Pooled it
  2. Article
  3. Review
  4. Review
  5. The genetic landscape of early-onset Alzheimer's disease in China.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
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  13. Article
  14. Article
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  16. Article
  17. Long Non-Coding RNAs: New Insights in Neurodegenerative Diseases.International journal of molecular sciences · 2024
    Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Cai HuayingDepartment of Neurology, Neuroscience Center, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Jin XingDepartment of Neurology, Neuroscience Center, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Jin LuyaDepartment of Neurology, Neuroscience Center, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Ni LinhuiDepartment of Neurology, Neuroscience Center, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Sun DiDepartment of Neurology, Neuroscience Center, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Ding XianjunDepartment of Orthopedic Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Sir Run Run Shaw Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Alzheimer's diseasebioinformaticsceRNAlncRNAmicroarray re-annotation

Identifiers

PMID33584243
PMCPMC7876075
OpenAlexW3122635476

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.