Evidence map›Paper›PMID 30945034›Full record

ArticleEuropean journal of nutrition2019

The MC4R genetic variants are associated with lower visceral fat accumulation and higher postprandial relative increase in carbohydrate utilization in humans.

Edyta Adamska-Patruno, Joanna Goscik, Przemyslaw Czajkowski, Katarzyna Maliszewska, Michał Ciborowski, Anna Golonko, Natalia Wawrusiewicz-Kurylonek, Anna Citko, Magdalena Waszczeniuk, Adam Kretowski and 1 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in European journal of nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03792685 (Analysis of Genetic Aspects of Metabolic Response on Diet With Different Content of Carbohydrate and Fat. Searching for Genetic Markers for Individualized Therapy in Patients With Obesity and Type 2 Diabetes), which is not on this map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
2.9field-weighted citation impact, top 9% 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.

NCT03792685 nacompletednot on this map

Analysis of Genetic Aspects of Metabolic Response on Diet With Different Content of Carbohydrate and Fat. Searching for Genetic Markers for Individualized Therapy in Patients With Obesity and Type 2 Diabetes

TypeinterventionalSponsorMedical University of BialystokRan2009 to 2021Enrolled150ConditionsOverweight and Obesity, Diabetes Mellitus, Type 2, Metabolic Syndrome, Genetic PredispositionArmsNormo-carbohydrate meal intake, High-carbohydrate meal intake, High-fat meal intake, High-protein meal intake
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
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  13. The Impact ofNutrients · 2020
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  14. Review
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  16. Frontiers in endocrinology · 2020
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  17. Article
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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

11 authors at 1 institution in 1 country.

Edyta Adamska-PatrunoClinical Research Centre, Medical University of Bialystok, M.C. Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland. edyta.adamska@umb.edu.pl.ORCID http://orcid.org/0000-0002-8805-0744
Joanna GoscikCentre for Experimental Medicine, Medical University of Bialystok, M.C. Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
Przemyslaw CzajkowskiClinical Research Centre, Medical University of Bialystok, M.C. Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
Katarzyna MaliszewskaDepartment of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, M.C. Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
Michał CiborowskiClinical Research Centre, Medical University of Bialystok, M.C. Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
Anna GolonkoDepartment of Dietetics and Clinical Nutrition, Medical University of Bialystok, Mieszka I-go 4B, 15-054, Bialystok, Poland.
Natalia Wawrusiewicz-KurylonekDepartment of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, M.C. Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
Anna CitkoClinical Research Centre, Medical University of Bialystok, M.C. Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
Magdalena WaszczeniukClinical Research Centre, Medical University of Bialystok, M.C. Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
Adam KretowskiClinical Research Centre, Medical University of Bialystok, M.C. Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
Maria GorskaDepartment of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, M.C. Sklodowskiej-Curie 24A, 15-276, Bialystok, Poland.
Medical University of Białystok · PL

Funding

Ministerstwo Nauki i Szkolnictwa Wyższego 4774/B/P01/2009/37
6 · The paper itself

Abstract

purposeThe interactions between lifestyle and genetic factors play an important role in obesity development. Mutations in melanocortin-4-receptor (MC4R) gene are one of the most common cause of monogenic obesity, however, the functional effects of polymorphic variants near MC4R gene in general populations remain uncertain. The aim of our study was to analyze whether the common single nucleotide polymorphisms (SNPs) of MC4R gene influence the food preferences, physical activity, body fat content and distribution, as well as fasting and postprandial energy expenditure and substrates utilization.

methodsWe genotyped previously identified MC4R SNPs: rs17782313, rs633265, rs1350341, rs12970134 in 927 subjects, who underwent anthropometric, total body fat content, visceral (VAT) and subcutaneous adipose tissue (SAT) measurements, and daily physical activity and dietary intake analysis. In randomly selected 47 subjects the energy expenditure, carbohydrate and lipid utilizations were evaluated in fasting state and after high-carbohydrate and control meals intake.

resultsWe found the significant associations between studied SNPs of MC4R gene and VAT and VAT/SAT ratio. Moreover, the GG genotype carriers of rs1350341, who had the lowest VAT accumulation (p = 0.012), presented higher relative increase in postprandial carbohydrate utilization (p = 0.013, p = 0.024).

conclusionsWe have observed that common SNPs of the MC4R gene influence the body fat content and distribution, as well as relative increase in postprandial carbohydrate utilization. We believe that our study may help to understand better the impact of MC4R gene on obesity development, and to help to provide personalized prevention/treatment strategies to fight against obesity and its metabolic consequences.

Indexed as

Postprandial PeriodAdultDietary CarbohydratesFemaleGenetic VariationHumansIntra-Abdominal FatMalePolymorphism, Single NucleotideReceptor, Melanocortin, Type 4Dietary CarbohydratesMC4R protein, humanReceptor, Melanocortin, Type 4Body fat accumulationMelanocortin-4-receptor MC4R geneNutrigeneticObesityPostprandial carbohydrate utilizationVisceral fat content

Identifiers

PMID30945034
PMCPMC6768895
OpenAlexW2926418785

What OpenQuestion holds

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Registered trials

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.