Evidence map›Paper›PMID 19283512›Full record

ArticleMolecular biology reports2010

Functional polymorphisms of matrix metallopeptidase-9 and risk of coronary artery disease in a Chinese population.

Hong Zhi, Hua Wang, Liqun Ren, Zhiyang Shi, Haiyan Peng, Lunbiao Cui, Genshan Ma, Xingzhou Ye, Yi Feng, Chengxing Shen and 4 more

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Article in Molecular biology reports, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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, 2 syntheses or guidelines pooled it.

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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

14 authors.

Hong ZhiDepartment of Cardiology, ZhongDa Hospital, Southeast University, Nanjing, China.
Hua Wang
Liqun Ren
Zhiyang Shi
Haiyan Peng
Lunbiao Cui
Genshan Ma
Xingzhou Ye
Yi Feng
Chengxing Shen
Xiangjun Zhai
Chenyu Zhang
Ke Zen
Naifeng Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Matrix metallopeptidase-9 (MMP-9) plays a pivotal role in vascular remodeling and development of atherosclerotic lesion. The potentially functional MMP-9 polymorphisms may contribute to the susceptibility of coronary artery disease (CAD). A case-control study composed of 762 CAD cases and 555 CAD-free controls was conducted in a Chinese population to investigate the association between the MMP-9 -1562 C>T, R279Q, P574R and R668Q polymorphisms and CAD risk. It was found that the variant genotypes of R279Q, P574R and R668Q were associated with a non-significant decreased risk of CAD when compared with their wild-type genotypes, respectively, Furthermore, compared with those without any variant genotypes for these four nonsynonymouse loci, individuals carrying all four variant genotypes (-1562 CT/TT, 279 RQ/QQ, 574 PR/RR and 668 RQ/QQ) had a 51% decreased risk of CAD (adjusted OR = 0.49; 95% CI = 0.26-0.95, P = 0.033). Although no significant main effects were observed for MMP-9 -1562 C>T locus on CAD risk, variant genotypes of -1562 C>T were associated with a 2.53 increased risk of CAD in subjects with diabetes mellitus (DM) (95% CI = 1.18-5.45, P = 0.018). In CAD cases, variant genotypes of -1562 C>T were associated with a significantly increased risk of MI (adjusted OR, 1.48, 95% CI, 1.01-2.20, P = 0.048). These findings suggest that MMP-9 R279Q, P574R and R668Q may have combined effect in the occurrence of CAD and -1562 CT/TT genotypes may contribute to CAD in diabetics and MI in CAD patients.

Indexed as

Genetic Predisposition to DiseaseAgedAllelesAsian PeopleCase-Control StudiesChinaCoronary Artery DiseaseDiabetes MellitusFemaleHumansHypertensionLinkage DisequilibriumMaleMatrix Metalloproteinase 9Myocardial InfarctionPolymorphism, Single NucleotideMatrix Metalloproteinase 9

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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.