Evidence map›Paper›PMID 28235053›Full record

ArticlePloS one2017

The role of neuromedin U in adiposity regulation. Haplotype analysis in European children from the IDEFICS Cohort.

Francesco Gianfagna, Claudio Grippi, Wolfgang Ahrens, Mark E S Bailey, Claudia Börnhorst, Stefan De Henauw, Ronja Foraita, Anna C Koni, Vittorio Krogh, Staffan Mårild and 8 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Epigenetics · 2021
    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

18 authors at 14 institutions in 9 countries.

Francesco GianfagnaLaboratory of Molecular and Nutritional Epidemiology, Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy.ORCID http://orcid.org/0000-0003-4615-0816
Claudio GrippiLaboratory of Molecular and Nutritional Epidemiology, Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy.
Wolfgang AhrensLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Mark E S BaileySchool of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Claudia BörnhorstLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Stefan De HenauwDepartment of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Ronja ForaitaLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Anna C KoniSchool of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Vittorio KroghDepartment of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Staffan MårildDept. of Paediatrics, Inst. of Clinical Sciences, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden.
Dénes MolnárDepartment of Paediatrics, Medical Faculty, University of Pécs, Pécs, Hungary.
Luis MorenoGENUD (Growth, Exercise, Nutrition and Development) Research Group, University of Zaragoza, Zaragoza, Spain.
Yannis PitsiladisCentre for Sport and Exercise Science and Medicine, University of Brighton, Brighton, United Kingdom.
Paola RussoUnit of Epidemiology & Population Genetics, Institute of Food Sciences, CNR, Avellino, Italy.
Alfonso SianiUnit of Epidemiology & Population Genetics, Institute of Food Sciences, CNR, Avellino, Italy.
Michael TornaritisResearch & Education Institute of Child Health, Strovolos, Cyprus.
Toomas VeidebaumDepartment of Chronic Diseases, National Institute for Health Development, Tallinn, Estonia.
Licia IacovielloLaboratory of Molecular and Nutritional Epidemiology, Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy.
Institute of Food Science · ITIstituto Neurologico Mediterraneo · ITLeibniz Institute for Prevention Research and Epidemiology - BIPS · DEUniversity of Glasgow · GBCyprus Institute · CYFondazione IRCCS Istituto Nazionale dei Tumori · ITGhent University · BENational Institute for Health Development · EEUniversidad de Zaragoza · ESUniversity of Bremen · DEUniversity of Brighton · GBUniversity of Gothenburg · SEUniversity of Insubria · ITUniversity of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsNeuromedin U (NMU) is a hypothalamic neuropeptide with important roles in several metabolic processes, recently suggested as potential therapeutic target for obesity. We analysed the associations between NMU gene variants and haplotypes and body mass index (BMI) in a large sample of European children. METHODS AND

resultsFrom a large European multi-center study on childhood obesity, 4,528 children (2.0-9.9 years, mean age 6.0±1.8 SD; boys 52.2%) were randomly selected, stratifying by age, sex and country, and genotyped for tag single nucleotide polymorphisms (SNPs; rs6827359, T:C; rs12500837, T:C; rs9999653,C:T) of NMU gene, then haplotypes were inferred. Regression models were applied to estimate the associations between SNPs or haplotypes and BMI as well as other anthropometric measures. BMI was associated with all NMU SNPs (p<0.05). Among five haplotypes inferred, the haplotype carrying the minor alleles (CCT, frequency = 22.3%) was the only associated with lower BMI values (beta = -0.16, 95%CI:-0.28,-0.04, p = 0.006; z-score, beta = -0.08, 95%CI:-0.14,-0.01, p = 0.019) and decreased risk of overweight/obesity (OR = 0.81, 95%CI:0.68,0.97, p = 0.020) when compared to the most prevalent haplotype (codominant model). Similar significant associations were also observed using the same variables collected after two years' time (BMI, beta = -0.25, 95%CI:-0.41,-0.08, p = 0.004; z-score, beta = -0.10, 95%CI:-0.18,-0.03, p = 0.009; overweight/obesity OR = 0.81, 95%CI:0.66,0.99, p = 0.036). The association was age-dependent in girls (interaction between CCT haplotypes and age, p = 0.008), more evident between 7 and 9 years of age. The CCT haplotype was consistently associated with lower levels of fat mass, skinfold thickness, hip and arm circumferences both at T0 and at T1, after adjustment for multiple testing (FDR-adjusted p<0.05).

conclusionsThis study shows an association between a NMU haplotype and anthropometric indices, mainly linked to fat mass, which appears to be age- and sex-specific in children. Genetic variations within or in linkage with this haplotype should be investigated to identify functional variants responsible for the observed phenotypic variation.

Indexed as

Genetic Predisposition to DiseaseHaplotypesPolymorphism, Single NucleotideAdipose TissueAge FactorsAllelesAnthropometryBody Mass IndexChildChild, PreschoolCohort StudiesEuropeFemaleGene ExpressionGene FrequencyGenetic Linkageneuromedin UNeuropeptides

Identifiers

PMID28235053
PMCPMC5325300
OpenAlexW2590115666

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.