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

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          Abstract

          Background and aims

          Neuromedin 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 results

          From 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).

          Conclusions

          This 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.

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          Most cited references27

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Neuromedin U: a multifunctional neuropeptide with pleiotropic roles.

            Neuromedin U (NmU) belongs to the neuromedin family, comprising a series of neuropeptides involved in the gut-brain axis and including neuromedins B and C (bombesin-like), K (neurokinin B), L (neurokinin A or neurotensin), N, S, and U.
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              Neuromedin U has a novel anorexigenic effect independent of the leptin signaling pathway.

              Neuromedin U (NMU) is a hypothalamic neuropeptide that regulates body weight and composition. Here we show that mice lacking the gene encoding NMU (Nmu(-/-) mice) develop obesity. Nmu(-/-) mice showed increased body weight and adiposity, hyperphagia, and decreased locomotor activity and energy expenditure. Obese Nmu(-/-) mice developed hyperleptinemia, hyperinsulinemia, late-onset hyperglycemia and hyperlipidemia. Notably, however, treatment with exogenous leptin was effective in reducing body weight in obese Nmu(-/-) mice. In addition, central leptin administration did not affect NMU gene expression in the hypothalamus of rats. These results indicate that NMU plays an important role in the regulation of feeding behavior and energy metabolism independent of the leptin signaling pathway. These characteristic functions of NMU may provide new insight for understanding the pathophysiological basis of obesity.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                24 February 2017
                2017
                : 12
                : 2
                : e0172698
                Affiliations
                [1 ]Laboratory of Molecular and Nutritional Epidemiology, Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy
                [2 ]EPIMED Research Center, Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy
                [3 ]Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
                [4 ]Faculty of Mathematics and Computer Science, Institute of Statistics, Bremen University, Bremen, Germany
                [5 ]School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
                [6 ]Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
                [7 ]Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
                [8 ]Dept. of Paediatrics, Inst. of Clinical Sciences, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden
                [9 ]Department of Paediatrics, Medical Faculty, University of Pécs, Pécs, Hungary
                [10 ]GENUD (Growth, Exercise, Nutrition and Development) Research Group, University of Zaragoza, Zaragoza, Spain
                [11 ]Centre for Sport and Exercise Science and Medicine, University of Brighton, Brighton, United Kingdom
                [12 ]Unit of Epidemiology & Population Genetics, Institute of Food Sciences, CNR, Avellino, Italy
                [13 ]Research & Education Institute of Child Health, Strovolos, Cyprus
                [14 ]Department of Chronic Diseases, National Institute for Health Development, Tallinn, Estonia
                McMaster University, CANADA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: FG WA LI.

                • Data curation: FG CB RF.

                • Formal analysis: FG CG CB RF.

                • Funding acquisition: WA FG.

                • Investigation: FG CG ACK.

                • Methodology: FG CG LI.

                • Project administration: WA LI.

                • Resources: WA SDH SM DM LM YP AS MT TV.

                • Software: CB RF.

                • Supervision: WA LI.

                • Validation: FG CG LI.

                • Visualization: FG CG.

                • Writing – original draft: FG CG LI.

                • Writing – review & editing: FG CG WA MESB CB SDH RF ACK VK SM DM LM YP PR AS MT TV LI.

                Author information
                http://orcid.org/0000-0003-4615-0816
                Article
                PONE-D-16-32949
                10.1371/journal.pone.0172698
                5325300
                28235053
                dad848d2-3d7b-4e43-bad4-7da6ff057623
                © 2017 Gianfagna et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 August 2016
                : 8 February 2017
                Page count
                Figures: 1, Tables: 4, Pages: 13
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100004965, Sixth Framework Programme;
                Award ID: 016181
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100004710, Fondazione Umberto Veronesi;
                Award ID: 2014 Young Investigator Research Programme
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100003196, Ministero della Salute;
                Award ID: GR-2011-02351736
                Award Recipient :
                This study was supported by the European Community within the Sixth RTD Framework Programme Contract no. 016181 - FOOD (WA) and by the grant from EU for the IDEFICS study. This analysis was partially supported by the Fondazione Umberto Veronesi, 2014 Young Investigator Research Programme award (FG) and the Italian Ministry of Health 2011, Young Investigator Grant n. 167/GR-2011-02351736 (FG). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Heredity
                Genetic Mapping
                Haplotypes
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                People and Places
                Population Groupings
                Age Groups
                Children
                People and Places
                Population Groupings
                Families
                Children
                Biology and Life Sciences
                Biochemistry
                Lipids
                Fats
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Social Sciences
                Anthropology
                Physical Anthropology
                Anthropometry
                Biology and Life Sciences
                Physical Anthropology
                Anthropometry
                Biology and Life Sciences
                Genetics
                Heredity
                Genetic Mapping
                Variant Genotypes
                Biology and Life Sciences
                Genetics
                Genetic Loci
                Alleles
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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