Evidence map›Paper›PMID 30946353›Full record

ArticleMedicine2019

Low expression of PIK3C2A gene: A potential biomarker to predict the risk of acute myocardial infarction.

Buchuan Tan, Miao Liu, Yushuang Yang, Long Liu, Fanbo Meng

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Biomedicines · 2024
    Article
  3. Article
  4. Article
  5. Various Expressions ofBiomolecules · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Diagnostic and Prognostic Biomarkers for Myocardial Infarction.Frontiers in cardiovascular medicine · 2020
    Review
  11. 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

5 authors at 1 institution in 1 country.

Buchuan TanChina-Japan Union Hospital of Jilin University.
Miao LiuCardiology Department of the China-Japan Union Hospital of Jilin University, Changchun, China.
Yushuang YangCardiology Department of the China-Japan Union Hospital of Jilin University, Changchun, China.
Long LiuCardiology Department of the China-Japan Union Hospital of Jilin University, Changchun, China.
Fanbo MengCardiology Department of the China-Japan Union Hospital of Jilin University, Changchun, China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPhosphoinositide 3-kinases (PI3Ks) are a family of enzymes that phosphorylate the 3'-OH of inositol ring of phosphatidylinositol (PI) and regulate a broad range of signaling pathways. PIK3C2A is structurally distinct from the other members of this class and is expressed in endothelial cells, vascular endothelium, and smooth muscle. In ischemic cardiovascular diseases, such as coronary artery disease, pathology is associated with endothelial damage and inflammation, downregulation of the EPC cell population and function, and impaired angiogenesis. This study aims to make an assessment on whether expression of PIK3C2A gene can be used as a biomarker for predicting the risk of acute myocardial infarction (AMI).

methodsWe collected peripheral blood from 84 subjects with non-coronary heart disease and 70 patients with AMI. The real-time quantitative PCR test was applied to measure levels of PIK3C2A gene expression at mRNA level in peripheral blood.

resultsOur results indicated that the level of PIK3C2A gene expression in peripheral blood of AMI patients was significantly lower than one in the non-coronary heart disease subjects. Binary logistic regression analysis showed that low expression of PIK3C2A gene was an independent risk factor of AMI and increased the risk of AMI by 2.231 folds. Moreover, it was found that low expression of PIK3C2A gene was not associated with level of fasting blood glucose, platelet count, Gensini score of coronary artery, and quantity of cardiac troponin.

conclusionThe level of PIK3C2A gene expression in patients with AMI is significantly lower than that of healthy people. Low expression of PIK3C2A gene is an independent risk factor of AMI. Low expression of PIK3C2A could serve as a potential biomarker to predict risk of AMI.

Indexed as

Gene ExpressionAgedBiomarkersBlood GlucoseCase-Control StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMyocardial InfarctionPhosphatidylinositol 3-KinasesRetrospective StudiesRisk FactorsRNA, MessengerBiomarkersBlood GlucosePhosphatidylinositol 3-KinasesPIK3C2A protein, humanRNA, Messenger

Identifiers

PMID30946353
PMCPMC6456027
OpenAlexW2930823685

What OpenQuestion holds

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LicenceCC BY
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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.