Evidence map›Paper›PMID 36009479›Full record

ArticleBiomedicines2022

Przemyslaw Ustianowski, Damian Malinowski, Michał Czerewaty, Krzysztof Safranow, Maciej Tarnowski, Violetta Dziedziejko, Andrzej Pawlik

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Genes · 2022
    Article
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 1 institution in 1 country.

Przemyslaw UstianowskiDepartment of Nursing, Pomeranian Medical University, 70-111 Szczecin, Poland.
Damian MalinowskiDepartment of Experimental and Clinical Pharmacology, Pomeranian Medical University, 70-111 Szczecin, Poland.ORCID 0000-0001-8393-9627
Michał CzerewatyDepartment of Physiology, Pomeranian Medical University, 70-111 Szczecin, Poland.
Krzysztof SafranowDepartment of Biochemistry and Medical Chemistry, Pomeranian Medical University, 70-111 Szczecin, Poland.ORCID 0000-0001-9415-2758
Maciej TarnowskiDepartment of Physiology, Pomeranian Medical University, 70-111 Szczecin, Poland.ORCID 0000-0002-3869-5077
Violetta DziedziejkoDepartment of Biochemistry and Medical Chemistry, Pomeranian Medical University, 70-111 Szczecin, Poland.ORCID 0000-0003-4809-415X
Andrzej PawlikDepartment of Physiology, Pomeranian Medical University, 70-111 Szczecin, Poland.ORCID 0000-0001-6557-1208
Pomeranian Medical University · PL

Funding

Minister of Science and Higher Education 002/RID/2018-19.
6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) is carbohydrate intolerance in pregnant women leading to various complications. Currently, there is a search for factors predisposing to GDM. Among them are genetic polymorphisms of genes involved in insulin secretion as well as carbohydrate metabolism. Due to the similar pathogenesis of GDM to type 2 diabetes (T2DM), genetic polymorphisms associated with T2DM are considered. The aim of this study was to examine the associations between the COBLL1 rs7607980 T > C and IRS1 rs2943641 T > C gene polymorphisms and the risk of GDM as well as selected clinical parameters in women with GDM. Additionally, we examined the expression of these genes in the placenta of women with and without GDM in correlation with selected clinical parameters. This study included 328 pregnant women with normal glucose tolerance (NGT) and 251 pregnant women with GDM diagnosed on the basis of a 75 g oral glucose tolerance test (OGTT) at 24−28 weeks gestation. There were no statistically significant differences in the distribution of IRS1 rs2943641 gene polymorphisms between women with GDM and pregnant women with NGT. In the GDM group, we observed a decreased frequency of COBLL1 rs7607980 CC homozygous women (CC vs. TC+TT, p = 0.048); however, there was no statistically significant difference in the frequency of alleles between women with GDM and the control group. There were no statistically significant associations between COBLL1 rs7607980 gene polymorphism and clinical parameters in women with GDM. In GDM women with the IRS1 rs2943641 TT genotype, fasting glucose levels were significantly higher than in women with CC and TC genotypes. There was no statistically significant difference in the expression of COBLL1 and IRS1 genes in the placenta between women with GDM and healthy women. There were no statistically significant correlations between COBLL1 gene expression in the placenta and clinical parameters. The expression of IRS1 correlated significantly with an increase in BMI during pregnancy. The results of this study suggest that COBLL1 rs7607980 and IRS1 rs2943641 gene polymorphisms are not significant risk factors for GDM in our population. The IRS1 TT genotype may be associated with higher fasting glucose levels in women with GDM. Expression of the IRS1 gene in the placenta positively correlates with an increase in BMI during pregnancy in women with GDM.

Indexed as

COBLL1gestational diabetesIRS1polymorphism

Identifiers

PMID36009479
PMCPMC9405993
OpenAlexW4292466689

What OpenQuestion holds

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LicenceCC BY
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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.