Evidence map›Paper›PMID 24879316›Full record

ArticleMolecular biology reports2014

Different associations of apoE gene polymorphism with metabolic syndrome in the Vojvodina Province (Serbia).

Nataša Vučinić, Igor Djan, Edita Stokić, Biljana Božin, Dragana Obreht, Karmen Stankov, Mihajla Djan

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Article in Molecular biology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. TheBalkan journal of medical genetics : BJMG · 2017
    Article
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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

7 authors at 2 institutions in 1 country.

Nataša VučinićDepartment of Pharmacy, Medical Faculty, University of Novi Sad, 21000, Novi Sad, Serbia, jnatasa81@gmail.com.
Igor Djan
Edita Stokić
Biljana Božin
Dragana Obreht
Karmen Stankov
Mihajla Djan
University of Novi Sad · RSOncology Institute of Vojvodina · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metabolic syndrome (MetS) is a polygenic multifactorial metabolic disorder with strong socioeconomic influence. MetS has became a worldwide epidemic, that directly increases the risk of cardiovascular diseases and type 2 diabetes mellitus. The human apoE gene, coding Apolipoprotein E, has three common polymorphisms in human population: e2, e3 and e4, which are proved to be associated with impaired lipid metabolism. The contribution of apoE polymorphism to MetS disorders has not been investigated previously in Vojvodina Province, region with the highest number of obese people in Serbia. The aim of this study was to evaluate apoE gene polymorphism in relation to MetS disorders. The healthy control group of 30 individuals and 63 MetS patients were examined for apoE variants in relation to biochemical and anthropometric parameters. The genotypes were determined by PCR-RFLP. Regarding all parameters, significantly higher values were detected in MetS group compared to control. The MetS group of patients had significantly higher frequency of e4 allele. In addition, positive relation was revealed between e4 allele presence and all measured parameters. It was found that the e4 allele was related with a significantly increased OR of MetS disorders according to the International Diabetes Federation definition. These results suggested that e4 allele may act as a one of determinants for development of metabolic syndrome.

Indexed as

Polymorphism, GeneticAdultAgedAllelesApolipoproteins EBlood GlucoseBody Mass IndexCase-Control StudiesCholesterol, HDLCholesterol, LDLFemaleGenotypeGenotyping TechniquesHumansLipid MetabolismMaleApolipoproteins EBlood GlucoseCholesterol, HDLCholesterol, LDLTriglycerides

Identifiers

PMID24879316
OpenAlexW2081393307

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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.