Evidence map›Paper›PMID 25673187›Full record

ArticleJournal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban2015

Association of IL33/ST2 signal pathway gene polymorphisms with myocardial infarction in a Chinese Han population.

Jin-Hua Yang, Fang-Qin Wu, Qiang Wen, Wen-Cai Zhang, Yang-E Wang, Xin Xiong, Yan-Wen Su, Long-Xian Cheng

Abstract read
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In one paragraph

Article in Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

8 authors at 2 institutions in 1 country.

Jin-Hua YangDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Fang-Qin WuDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Qiang WenDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Wen-Cai ZhangDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yang-E WangDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Xin XiongDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yan-Wen SuDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Long-Xian ChengDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. chenglongxian@sina.com.
Huazhong University of Science and Technology · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the relationship between IL-33/ST2 signal pathway gene polymorphisms and myocardial infarction (MI) in Han Chinese. A case-control association analysis was performed on a total of 490 MI patients (MI group) and 929 normal subjects (NC group). Sequenom Mass Array and Taqman genotyping technique were used to analyze the tag single nucleotide polymorphisms (SNPs) in the genes encoding IL-33, ST2, and IL-1RaP (rs11792633, rs1041973 and rs4624606). The results showed that the frequencies of rs4624606 genotypes AA, TT, AT were 0.031, 0.647, 0.322 in MI group and 0.026, 0.712, 0.263 in NC group, and the allele frequencies of A and T were 0.192, 0.808 in MI group and 0.157, 0.843 in NC group. There were significant differences in rs4624606 genotypes and allele frequencies between MI group and NC group (P<0.05). For rs11792633, the allele frequencies of C and T were 0.45, 0.55 in MI group and 0.454, 0.546 in NC group with no significant differences found between the two groups. Compared with genotype CC+TC, rs11792633 genotype TT had an increased risk of hypertension (P<0.05). However, there were no significant differences in the frequencies of rs11792633 genotypes between the two groups. No significant differences were noted in the frequencies of rs1041973 genotype and allele between the two groups. Logistic regression analysis showed that rs4624606 genotypes AT and AA+AT were both significantly associated with MI (AT: OR=1.325, P=0.029, 95% CI=1.03-1.705; AA+AT: OR=1.316, P=0.028, 95% CI=1.03-1.681) after factors such as age, gender, smoking, drinking, body mass index (BMI), triglyceride (TG) and cholesterol were adjusted. Those carrying rs4624606 genotype AT or AA+AT had an increased risk of MI. No associations were found between the polymorphisms of the other two loci with MI. It was concluded that, in the IL33/ST2 signal pathway, the A allele of rs4624606 polymorphism of IL-1RaP gene is a potential independent risk factor for MI, and the genotypes AA+AT and AT are associated with the incidence of MI.

Indexed as

ChinaEthnicityFemaleHumansInterleukin-1 Receptor-Like 1 ProteinInterleukin-33InterleukinsMaleMyocardial InfarctionReceptors, Cell SurfaceSignal TransductionIL1RL1 protein, humanIL33 protein, humanInterleukin-1 Receptor-Like 1 ProteinInterleukin-33InterleukinsReceptors, Cell Surface

Identifiers

PMID25673187
OpenAlexW2014614283

What OpenQuestion holds

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Read underepoch 390

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.