Evidence map›Paper›PMID 35292917›Full record

ArticleMolecular biology reports2022

Association of gene polymorphisms with body weight changes in prediabetic patients.

Farida V Valeeva, Mariya S Medvedeva, Kamilya B Khasanova, Elena V Valeeva, Tatyana A Kiseleva, Emiliya S Egorova, Craig Pickering, Ildus I Ahmetov

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In one paragraph

Article in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Genetic Associations ofDiagnostics (Basel, Switzerland) · 2024
    Article
  7. Article
  8. Review
  9. Precision Nutrition: Recent Advances in Obesity.Physiology (Bethesda, Md.) · 2023
    Review
  10. 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

8 authors at 3 institutions in 2 countries.

Farida V ValeevaDepartment of Endocrinology, Kazan State Medical University, Kazan, Russia.
Mariya S MedvedevaDepartment of Endocrinology, Kazan State Medical University, Kazan, Russia.
Kamilya B KhasanovaDepartment of Endocrinology, Kazan State Medical University, Kazan, Russia.
Elena V ValeevaLaboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia.ORCID http://orcid.org/0000-0001-7080-3878
Tatyana A KiselevaDepartment of Endocrinology, Kazan State Medical University, Kazan, Russia.
Emiliya S EgorovaLaboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia.
Craig PickeringInstitute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Preston, UK.
Ildus I AhmetovLaboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia. i.akhmetov@ljmu.ac.uk.
Kazan State Medical University · RUPlekhanov Russian University of Economics · RUUniversity of Lancashire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent research has demonstrated that Type 2 Diabetes (T2D) risk is influenced by a number of common polymorphisms, including MC4R rs17782313, PPARG rs1801282, and TCF7L2 rs7903146. Knowledge of the association between these single nucleotide polymorphisms (SNPs) and body weight changes in different forms of prediabetes treatment is still limited. The aim of this study was to investigate the association of polymorphisms within the MC4R, PPARG, and TCF7L2 genes on the risk of carbohydrate metabolism disorders and body composition changes in overweight or obese patients with early carbohydrate metabolism disorders. METHODS AND

resultsFrom 327 patients, a subgroup of 81 prediabetic female patients (48.7 ± 14.8 years) of Eastern European descent participated in a 3-month study comprised of diet therapy or diet therapy accompanied with metformin treatment. Bioelectrical impedance analysis and genotyping of MC4R rs17782313, PPARG rs1801282, and TCF7L2 rs7903146 polymorphisms were performed. The MC4R CC and TCF7L2 TT genotypes were associated with increased risk of T2D (OR = 1.46, p = 0.05 and OR = 2.47, p = 0.006, respectively). PPARG CC homozygotes experienced increased weight loss; however, no additional improvements were experienced with the addition of metformin. MC4R TT homozygotes who took metformin alongside dietary intervention experienced increased weight loss and reductions in fat mass (p < 0.05).

conclusionsWe have shown that the obesity-protective alleles (MC4R T and PPARG C) were positively associated with weight loss efficiency. Furthermore, we confirmed the previous association of the MC4R C and TCF7L2 T alleles with T2D risk.

Indexed as

Diabetes Mellitus, Type 2MetforminPrediabetic StateFemaleGenetic Predisposition to DiseaseGenotypeHumansMiddle AgedObesityPolymorphism, Single NucleotidePPAR gammaReceptor, Melanocortin, Type 4Transcription Factor 7-Like 2 ProteinWeight LossMetforminPPAR gammaReceptor, Melanocortin, Type 4Transcription Factor 7-Like 2 ProteinDietObesityRisk alleleSingle nucleotide polymorphismType 2 diabetes

Identifiers

PMID35292917
PMCPMC9262768
OpenAlexW4220913023

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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.