Evidence map›Paper›PMID 34468915›Full record

ArticleMetabolic brain disease2021

Association between lncRNA genetic variants and susceptibility to large artery atherosclerotic stroke.

Lei Du, Jianhua Ma, Xiaoning Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Metabolic brain disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 61% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

3 authors at 2 institutions in 1 country.

Lei DuDepartment of Neurology, The First Affiliated Hospital of Xinjiang Medical University, No.137 South Liyushan Road, Urmuqi, 830099, China.
Jianhua MaDepartment of Neurology, The First Affiliated Hospital of Xinjiang Medical University, No.137 South Liyushan Road, Urmuqi, 830099, China.
Xiaoning ZhangDepartment of Neurology, The First Affiliated Hospital of Xinjiang Medical University, No.137 South Liyushan Road, Urmuqi, 830099, China. zxn-1960@163.com.
Xinjiang Medical University · CNFirst Affiliated Hospital of Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have already illustrated the role of long non-coding RNAs (lncRNAs) in the progression of atherosclerosis, while the potential role of lncRNA gene variation in susceptibility to large artery atherosclerotic stroke (LAAS) remains controversial. We therefore conducted this study to explore and verify the gene expression modules of LAAS. Differentially expressed genes (DEGs) in atherosclerosis were screened in 3 patients with LAAS, and 3 healthy control patients. A further 31 individuals were used to screen DEGs, and MALAT1, MEG3, or SENCR were identified. Real-time PCR and western blotting were used to assess the difference in DEGs between the atherosclerotic and the non-atherosclerotic artery models. A total of 454 DEGs were detected from the initial screening step, and MALAT1, MEG3, or SENCR were applied to predict the risk of LAAS. The AUC of MALAT1, MEG3, and SENCR in predicting the risk of LAAS was 0.746 (95% CI: 0.398-0.753; P = 0.005), 0.575 (95% CI: 0.398-0.753; P = 0.389), and 0.629 (95% CI: 0.449- .808; P = 0.141), respectively. Moreover, there were significant differences between the atherosclerotic and non-atherosclerotic artery models for the expression of MALAT1, GCNT1, VEGFA, and VCAM-1. This study found that the MALAT1 contributes to LAAS susceptibility, and might play an important role in the progression of LAAS.

Indexed as

AtherosclerosisRNA, Long NoncodingStrokeArteriesHumansRNA, Long NoncodingBiomarkerLarge artery atherosclerotic strokeSusceptibility

Identifiers

PMID34468915
OpenAlexW3197292533

What OpenQuestion holds

Textmetadata
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.