Evidence map›Paper›PMID 24523574›Full record

ArticleMediators of inflammation2014

IVS1 -397T>C estrogen receptor α polymorphism is associated with low-grade systemic inflammatory response in type 1 diabetic girls.

Monika Ryba-Stanisławowska, Karolina Rybarczyk-Kapturska, Agnieszka Brandt, Małgorzata Myśliwiec, Jolanta Myśliwska

Open access · goldAbstract read
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Article in Mediators of inflammation, 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
1.6field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 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.

Monika Ryba-StanisławowskaDepartment of Immunology, Medical University of Gdańsk, Dębinki 1, 80-211 Gdańsk, Poland.
Karolina Rybarczyk-KapturskaDepartment of Immunology, Medical University of Gdańsk, Dębinki 1, 80-211 Gdańsk, Poland.
Agnieszka BrandtClinic of Pediatrics, Department of Diabetology and Endocrinology, Medical University of Gdańsk, 80-211 Gdańsk, Poland.
Małgorzata MyśliwiecClinic of Pediatrics, Department of Diabetology and Endocrinology, Medical University of Gdańsk, 80-211 Gdańsk, Poland.
Jolanta MyśliwskaDepartment of Immunology, Medical University of Gdańsk, Dębinki 1, 80-211 Gdańsk, Poland.
Gdańsk Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study aimed to investigate the influence of estrogen receptor α (ER-α) genotypes on inflammatory response and development of microvascular complications in girls with type 1 diabetes.

methods152 young regularly menstruating girls with diagnosed type 1 diabetes and 84 young, healthy menstruating girls were recruited. ER-α genotyping was carried out by PCR. Serum concentrations of 17β-estradiol, as well as IL-6, TNF-α, VEGF, and IL-10, were measured. CD4(+)Foxp3(+) TH17 cells were isolated and analyzed by flow cytometry.

resultsType 1 diabetic girls carrying TT genotype were characterized by the lowest serum estradiol level and IL-10 and highest IL-6, TNF-α, and VEGF. The association between the level of certain cytokine and the genetic variant of estrogen receptor α polymorphism was analyzed. Frequencies of CD4(+)Foxp3(+) TH17 cells were also enhanced in TT bearing girls with type 1 diabetes and correlated with the level of analyzed cytokines. In addition, the correlation between serum estradiol level and cytokine concentrations was observed.

conclusionsWe propose that TT variant of estrogen receptor α polymorphism may be associated with enhanced inflammatory response, which in turn may lead to acceleration of diabetic retino- and nephropathy in girls with type 1 diabetes. This finding may help the physicians to predict the onset and progression of diabetic microvascular complications.

Indexed as

AdolescentCase-Control StudiesCD4-Positive T-LymphocytesCytokinesDiabetes Mellitus, Type 1EstradiolEstrogen Receptor alphaFemaleForkhead Transcription FactorsGenotypeHumansInflammationInterleukin-10Interleukin-6MicrocirculationPolymerase Chain ReactionCytokinesESR1 protein, humanEstradiolEstrogen Receptor alphaForkhead Transcription FactorsFOXP3 protein, humanIL10 protein, humanIL6 protein, humanInterleukin-10Interleukin-6Tumor Necrosis Factor-alphaVascular Endothelial Growth Factor A

Identifiers

PMID24523574
PMCPMC3910071
OpenAlexW1985667479

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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.