Evidence map›Paper›PMID 25096511›Full record

ArticleMolecular biology reports2014

Association of resistin polymorphisms with resistin levels and lipid profile in children.

Lorena Ortega, Pilar Navarro, Pía Riestra, Teresa Gavela-Pérez, Leandro Soriano-Guillén, Carmen Garcés

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In one paragraph

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
1.9field-weighted citation impact, top 15% 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, 16 citations in OpenAlex.

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  4. Review
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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

6 authors at 1 institution in 1 country.

Lorena OrtegaLipid Research Laboratory, IIS-Fundación Jiménez Díaz, Avda. Reyes Católicos, 2., 28040, Madrid, Spain.
Pilar Navarro
Pía Riestra
Teresa Gavela-Pérez
Leandro Soriano-Guillén
Carmen Garcés
Hospital Universitario Fundación Jiménez Díaz · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous research has found a correlation between resistin and lipid level variations. Polymorphisms in the resistin gene (RETN) could be involved in this relationship, but the results of the different studies are contradictory. The aim of this study was to examine the association between resistin and lipid levels, and to determine whether resistin polymorphisms are associated with resistin levels and lipid profile in prepubertal children and adolescents. The single nucleotide polymorphisms (SNPs) rs1862513 and rs10401670 were analyzed in 442 randomly selected 6- to 8-year-old children and 827 children aged 12-16 years. Anthropometric data were recorded. Lipid profile was determined using standard methods. Serum resistin levels were measured using a multiplexed bead immunoassay. Resistin polymorphisms were determined by TaqMan(®) allelic discrimination assays. A relationship was found between serum levels of resistin and the SNP rs10401670 in 6- to 8-year-old boys. SNP rs10401670 was also related to TC and LDL-cholesterol in 12- to 16-year-old boys and to HDL-C in 12- to 16-year-old girls. SNP rs1862513 was not related to any of the studied variables. Serum resistin levels were significantly and negatively associated with ApoAI levels in 12- to 16-year-old girls. A SNP in the 3'UTR region of RETN (rs10401670) is associated with resistin levels and lipid profile in children, showing different associations depending on age and gender.

Indexed as

AdolescentAnalysis of VarianceAnthropometryChildCholesterolFemaleFluorescenceHumansImmunoassayMaleMicrospheresPolymerase Chain ReactionPolymorphism, Single NucleotideResistinCholesterolResistinRETN protein, human

Identifiers

PMID25096511
OpenAlexW2034812172

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.