Evidence map›Paper›PMID 27135032›Full record

ArticleAdvanced biomedical research2016

Association of glutathione S-transferases M1 and T1 gene polymorphisms with the risk of metabolic syndrome in an Iranian population.

Laleh Rafiee, Pedram Shokouh, Hamidreza Roohafza, Marjan Mansourian, Shaghayegh Haghjooy Javanmard

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Article in Advanced biomedical research, 2016. 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
0.2field-weighted citation impact, top 37% 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

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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, 3 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Laleh RafieeApplied Physiology Research Centre, Department of Physiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Pedram ShokouhCardiovascular Research Centre, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
Hamidreza RoohafzaCardiovascular Research Centre, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
Marjan MansourianDepartment of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Shaghayegh Haghjooy JavanmardApplied Physiology Research Centre, Department of Physiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlutathione S-transferases (GSTs) are important factors in cell sensitivity to oxidative stress and susceptibility to cardiometabolic disorders. We aimed to investigate the GSTM1 and T1 gene polymorphisms, as well as their interactions in metabolic syndrome (MetS) patients and healthy individuals in an Iranian population. MATERIALS AND

methodsThe study sample comprised of 220 healthy individuals (mean age: 41.9 - 15.1 years) and 165 MetS patients (mean age: 49.7 - 11.5 years). The diagnostic criteria for MetS were defined following the criteria provided by the modified National Cholesterol Education Program Adult Treatment Panel III. Genotyping of GSTM1 and T1 genes were performed using polymerase chain reaction.

resultsOur analyses have shown that neither GSTM1 (odds ratio [OR] =0.89, 95% confidence interval [CI]: 0.59 - 1.33, P = 0.57) nor GSTT1 (OR = 1.26, 95% CI: 0.76 - 2.02, P = 0.38) null genotypes were associated with increased risk. Moreover, no significant differences were observed between various combinations of GST genotypes.

conclusionContrary to our primary hypothesis, what we found disaffirms any kind of association between GSTM1 and T1 polymorphisms and the risk of MetS. However, being the first polymorphism study of GSTs in MetS patients, further studies are required to confirm our results in other populations.

Indexed as

Gene deletiongenetic polymorphismglutathione transferasemetabolic syndrome X

Identifiers

PMID27135032
PMCPMC4832886
OpenAlexW2307797013

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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.