Evidence map›Paper›PMID 32481463›Full record

ArticleMedicine2020

Association of CYP4F2 and CTRP9 polymorphisms and serum selenium levels with coronary artery disease.

Hao Huang, Yong Wang, Xianen Wang, Yuhua Lei

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. 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
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 1 institution in 3 countries.

Hao HuangCardiovascular Disease Center, Central Hospital of Enshi Autonomous Prefecture, Enshi, China.
Yong Wang
Xianen Wang
Yuhua Lei
The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims to explore the interaction between serum selenium level and CYP4F2 and CTRP9 gene polymorphisms in the development of coronary artery disease (CAD).A total of 200 cases of CAD were selected from the Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Hubei, China, and 200 healthy subjects cases were served as controls. The polymorphism of CYP4F2 and CTRP9 gene was detected by Sanger sequencing, and the serum selenium level was measured by hydride generation atomic fluorescence spectrometry.The serum selenium level in the CAD group was significantly lower than that in the control group. The risk of CAD was decreased in the patients carrying the AA genotype in CYP4F2 rs3093135, while the frequency of the CC genotype of CTRP9 rs9553238 in CAD patients was higher than that in control subjects. Low serum selenium level and CTRP9 rs9553238 CC genotype play a positive role in the occurrence of CAD.The serum selenium level is negatively correlated with CAD. The polymorphism of the CYP4F2 rs3093135 and CTRP9 rs9553238 was significantly related to the susceptibility of CAD, and there is a synergistic effect between the serum selenium level and the CTRP9 rs9553238 CC genotype, which significantly increases the risk of CAD.

Indexed as

AdiponectinCase-Control StudiesChinaCoronary Artery DiseaseCytochrome P450 Family 4FemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideSeleniumTumor Necrosis Factor Receptor-Associated Peptides and ProteinsAdiponectinC1QTNF9B protein, humanCYP4F2 protein, humanCytochrome P450 Family 4SeleniumTumor Necrosis Factor Receptor-Associated Peptides and Proteins

Identifiers

PMID32481463
PMCPMC12245367
OpenAlexW3031730678

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.