Evidence map›Paper›PMID 33732296›Full record

ArticleExperimental and therapeutic medicine2021

miR-454-3p prevents ox-LDL-induced apoptosis in HAECs by targeting TRPC3.

Luming Liao, Qiaolan Yang, Hailiang Li, Rongsen Meng, Yuntian Li

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Luming LiaoThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510280, P.R. China.
Qiaolan YangDepartment of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, P.R. China.
Hailiang LiDepartment of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, P.R. China.
Rongsen MengDepartment of Cardiovascular Internal Medicine, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510317, P.R. China.
Yuntian LiThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510280, P.R. China.
Guangdong Provincial People's Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endothelial-cell (EC) apoptosis serves a vital role in the pathogenesis of atherosclerosis. Accumulating evidence has implicated microRNA (miRNA/miR) dysregulation in EC apoptosis. Although the role of miR-454-3p in carcinogenesis has been well documented, its role and underlying mechanism in EC apoptosis remain unclear. In the present study, the results revealed that miR-454-3p expression was substantially downregulated in human aortic endothelial cells (HAECs) following oxidized low-density lipoprotein (ox-LDL) treatment. miR-454-3p suppression significantly attenuated the viability of HAECs, while miR-454-3p overexpression repressed ox-LDL-induced HAEC apoptosis. Bioinformatics analysis and luciferase reporter assays revealed that transient receptor potential canonical 3 (TRPC3), a key regulator of atherosclerosis development, was the direct target of miR-454-3p. Furthermore, TRPC3 overexpression abolished the anti-apoptotic effect of miR-454-3p on HAECs. These results revealed a novel role of miR-454-3p in ox-LDL-induced apoptosis in HAECs.

Indexed as

apoptosishuman aortic endothelial cellsmicroRNA-454-3poxidized low-density lipoproteintransient receptor potential canonical 3

Identifiers

PMID33732296
PMCPMC7905327
OpenAlexW3127389197

What OpenQuestion holds

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Registered trials

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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.