Evidence map›Paper›PMID 30320356›Full record

ArticleMolecular medicine reports2018

Abnormal expression of miR‑133a in patients with acute myocardial infarction following radical surgery for gastric cancer and the underlying mechanism.

Jing Yu, Xufen Cao, Ye Zheng, Liqiu Yan, Jiawang Wang

Abstract read
In one paragraph

Article in Molecular medicine reports, 2018. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jing YuDepartment of Cardiology, Cangzhou Central Hospital of Hebei, Cangzhou, Hebei 061000, P.R. China.
Xufen CaoDepartment of Cardiology, Cangzhou Central Hospital of Hebei, Cangzhou, Hebei 061000, P.R. China.
Ye ZhengDepartment of Cardiology, Cangzhou Central Hospital of Hebei, Cangzhou, Hebei 061000, P.R. China.
Liqiu YanDepartment of Cardiology, Cangzhou Central Hospital of Hebei, Cangzhou, Hebei 061000, P.R. China.
Jiawang WangDepartment of Cardiology, Cangzhou Central Hospital of Hebei, Cangzhou, Hebei 061000, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to investigate the expression of microRNA (miR)‑133a in patients with or without acute myocardial infarction (AMI) following radical surgery for gastric cancer, and to explore its underlying mechanisms. Blood samples were collected from patients with or without AMI in order to detect the expression levels of miR‑133a and endothelial injury markers. In addition, an AMI rat model was established. Reverse transcription‑quantitative polymerase chain reaction was used to detect the mRNA expression levels of miR‑133a and B‑cell lymphoma 2‑like 1 (Bcl2l1). In addition, an ELISA assay was used for endothelial injury marker analysis. To investigate the effects of miR‑133a on human umbilical vein endothelial cells (HUVECs), a miR‑133a inhibitor was used. Cell proliferation and apoptosis were subsequently detected using an MTT assay and flow cytometry. Western blot analysis was also conducted to detect Bcl2l1 protein expression. The results suggested that patients with AMI exhibited significantly increased expression of endothelial injury markers (von Willebrand factor, heart‑type fatty acid‑binding protein and cardiac troponin I) and miR‑133a in blood samples compared with patients without AMI. In addition, treatment with a miR‑133a mimic was able to upregulate the expression of endothelial injury markers in an AMI rat model, whereas treatment with a miR‑133a inhibitor had the opposite effect. Furthermore, cellular experiments indicated that a miR‑133a inhibitor could promote HUVEC proliferation and reduce cell apoptosis. The present results also confirmed that miR‑133a directly targets Bcl2l1 and negatively regulates Bcl2l1 expression. In conclusion, the results of the present study suggested that miR‑133a was involved in the endothelial injury process after AMI by targeting Bcl2l1.

Indexed as

Gene Expression RegulationAgedAnimalsApoptosisbcl-X ProteinBiomarkersCell ProliferationDisease Models, AnimalHumansHuman Umbilical Vein Endothelial CellsMicroRNAsMiddle AgedMyocardial InfarctionRatsRNA InterferenceStomach Neoplasmsbcl-X ProteinBiomarkersMicroRNAsMIRN133 microRNA, humanacute myocardial infarctioncardiac markersendothelial injurygastric cancermicroRNA-133a

Identifiers

PMID30320356
PMCPMC6236279

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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.