ArticleMetabolic brain disease2021
Association between lncRNA genetic variants and susceptibility to large artery atherosclerotic stroke.
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.
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.
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.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- DNA hypomethylated modified lncRNA MALAT1 promotes atherosclerotic cardiovascular disease progression through NF-κB signaling pathway regulating cholesterol metabolism and inflammatory response.Biochemistry and biophysics reports · 2025Article
- The multifaceted biology of lncR-Meg3 in cardio-cerebrovascular diseases.Frontiers in genetics · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.