Evidence map›Paper›PMID 28401071›Full record

ArticleAdvanced biomedical research2017

Identification of a New Single-nucleotide Polymorphism within the Apolipoprotein A5 Gene, Which is Associated with Metabolic Syndrome.

Samaneh Salehi, Modjtaba Emadi-Baygi, Majdaddin Rezaei, Roya Kelishadi, Parvaneh Nikpour

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Article in Advanced biomedical research, 2017. 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
0.9field-weighted citation impact, top 25% 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, 5 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 2 institutions in 1 country.

Samaneh SalehiDepartment of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord, Iran.
Modjtaba Emadi-BaygiDepartment of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord, Iran; Research Institute of Biotechnology, Shahrekord University, Shahrekord, Iran.
Majdaddin RezaeiDepartment of Genetics and Molecular Biology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Roya KelishadiDepartment of Paediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Noncommunicable Disease, Isfahan, Iran.
Parvaneh NikpourDepartment of Genetics and Molecular Biology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran; Applied Physiology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IRShahrekord University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is a common disorder which is a constellation of clinical features including abdominal obesity, increased level of serum triglycerides (TGs) and decrease of serum high-density lipoprotein-cholesterol (HDL-C), elevated blood pressure, and glucose intolerance. The apolipoprotein A5 (APOA5) is involved in lipid metabolism, influencing the level of plasma TG and HDL-C. In the present study, we aimed to investigate the associations between four INDEL variants of APOA5 gene and the MetS risk. MATERIALS AND

methodsIn this case-control study, we genotyped 116 Iranian children and adolescents with/without MetS by using Sanger sequencing method for these INDELs. Then, we explored the association of INDELs with MetS risk and their clinical components by logistic regression and one-way analysis of variance analyses.

resultsWe identified a novel insertion polymorphism, c. *282-283 insAG/c. *282-283 insG variant, which appears among case and control groups. rs72525532 showed a significant difference for TG levels between various genotype groups. In addition, there were significant associations between newly identified single-nucleotide polymorphism (SNP) and rs72525532 with MetS risk.

conclusionsThese results show that rs72525532 and the newly identified SNP may influence the susceptibility of the individuals to MetS.

Indexed as

Apolipoprotein A5INDELsmetabolic syndrome

Identifiers

PMID28401071
PMCPMC5360002
OpenAlexW2592698615

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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.