Evidence map›Paper›PMID 27246401›Full record

ArticleBiochemical genetics2016

Genetic Background, Adipocytokines, and Metabolic Disorders in Postmenopausal Overweight and Obese Women.

Bogna Grygiel-Górniak, Elżbieta Kaczmarek, Maria Mosor, Juliusz Przysławski, Anna Bogacz

Abstract read
In one paragraph

Article in Biochemical genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. The Influence ofGenes · 2023
    Article
  2. Review
  3. Frontiers in oncology · 2019
    Article
  4. Article
  5. Article
  6. Article
  7. 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

5 authors.

Bogna Grygiel-GórniakDepartment of Bromatology and Human Nutrition, Poznan University of Medical Sciences, Poznan, Poland. bgrygiel@ump.edu.pl.
Elżbieta KaczmarekDepartment of Bioinformatics and Computational Biology, Poznan University of Medical Sciences, Poznan, Poland.
Maria MosorDepartment of Molecular Pathology, Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
Juliusz PrzysławskiDepartment of Bromatology and Human Nutrition, Poznan University of Medical Sciences, Poznan, Poland.
Anna BogaczLaboratory of Experimental Pharmacogenetics, Department of Clinical Pharmacy and Biopharmacy, Poznan University of Medical Sciences, Poznan, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between the genetic background, adipocytokines, and metabolic state in postmenopausal women has not yet been fully described. The aim of this study was to determine the relationship between PPAR gamma-2 (Pro12Ala, C1431T) and ADRB3 (Trp64Arg) polymorphisms and serum adipocytokines (adiponectin, visfatin, and resistin) and metabolic disorders in 176 postmenopausal women with increased body mass (BMI ≥ 25 kg m(-2)). The distributions of selected alleles and genotype frequencies were determined with the PCR-RFLP method. The bioimpedance method was used to determine nutritional status, and enzyme-linked immunosorbent assays were applied to determine serum concentrations of adipocytokines. Viscerally obese postmenopausal women had higher body mass, body fat content, serum glucose, insulin, total cholesterol, LDL, triglycerides, uric acid, and HOMA-IR and a higher prevalence of the Ala12 allele. In models based on cytokine concentration, higher body mass and glucose concentration (visfatin model, p = 0.008) and higher insulin and triglyceride levels (resistin model, p = 0.002) were observed in visceral fat deposition and this was potentiated by the presence of the T1431 allele. In resistin models, co-existence of Ala12/X polymorphisms with the T1431 allele was associated with higher resistin and triglyceride concentrations (p = 0.045). In postmenopausal women, metabolic parameters are mainly determined by the distribution of body fat, but Ala12/X polymorphism may increase the metabolic disorders and this effect can be enhanced by the T1431 allele.

Indexed as

AgedAmplified Fragment Length Polymorphism AnalysisBody Fat DistributionFemaleGene FrequencyGenetic Predisposition to DiseaseHumansMetabolic DiseasesMiddle AgedObesityOverweightPolymorphism, Single NucleotidePostmenopausePPAR gammaReceptors, Adrenergic, beta-3ADRB3 protein, humanPPAR gammaReceptors, Adrenergic, beta-3AdipocytokinesBody fat distributionMetabolic disordersPostmenopausal obesityPPAR gamma-2 and beta3-AR polymorphism

Identifiers

PMID27246401
PMCPMC5018036

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.