Evidence map›Paper›PMID 36326096›Full record

ArticleThe Kaohsiung journal of medical sciences2023

Silencing of UCA1 attenuates the ox-LDL-induced injury of human umbilical vein endothelial cells via miR-873-5p/MAPK8 axis.

Shu-Xin Zhang, Cheng-Hong Yu

Open access · goldAbstract read
In one paragraph

Article in The Kaohsiung journal of medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

2 authors at 1 institution in 1 country.

Shu-Xin ZhangDepartment of Cardiology, Tongxiang First people's Hospital, Tongxiang, Zhejiang, China.
Cheng-Hong YuDepartment of Cardiology, Tongxiang First people's Hospital, Tongxiang, Zhejiang, China.ORCID https://orcid.org/0000-0001-7877-8996
Yinchuan First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

LncRNA UCA1 plays a vital role in cardiovascular diseases. Endothelial cell dysfunction is a prerequisite for atherosclerosis (AS) development. However, the pathophysiological role of UCA1 in endothelial cell dysfunction induced by ox-LDL remains obscure. Here, we observed that UCA1 was upregulated in the sera of patients with AS and ox-LDL-treated endothelial cells. UCA1 knockdown dramatically reduced the cell apoptosis induced by ox-LDL and the production of pro-inflammatory cytokines and ROS in endothelial cells. Mechanistically, we found that UCA1 directly targeted miR-873-5p. UCA1 knockdown increased, while UCA1 overexpression decreased the expression of miR-873-5p. Further, we found that mitogen-activated protein kinase 8 (MAPK8) was a downstream target gene of miR-873-5p. MAPK8 overexpression or miR-873-5p knockdown reduced the enhancement of ox-LDL-induced cell apoptosis, oxidative stress, and pro-inflammatory cytokine production conferred by UCA1 knockdown. In conclusion, UCA1 can protect Human Umbilical Vein Endothelial Cells from ox-LDL-induced injury via the miR-873-5p/MAPK8 axis.

Indexed as

MicroRNAsMitogen-Activated Protein Kinase 8RNA, Long NoncodingApoptosisCell ProliferationGene SilencingHumansHuman Umbilical Vein Endothelial CellsLipoproteins, LDLLipoproteins, LDLMicroRNAsMIRN873 microRNA, humanMitogen-Activated Protein Kinase 8oxidized low density lipoproteinRNA, Long NoncodingUCA1 RNA, humanatherosclerosisLncRNA UCA1MAPK8miR-873-5pox-LDL-induced endothelial cells

Identifiers

PMID36326096
PMCPMC11895889
OpenAlexW4308056403

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.