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      Understanding the Links among neuromedin U Gene, beta2-adrenoceptor Gene and Bone Health: An Observational Study in European Children

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          Abstract

          Neuromedin U, encoded by the NMU gene, is a hypothalamic neuropeptide that regulates both energy metabolism and bone mass. The beta-2 adrenergic receptor, encoded by the ADRB2 gene, mediates several effects of catecholamine hormones and neurotransmitters in bone. We investigated whether NMU single nucleotide polymorphisms (SNPs) and haplotypes, as well as functional ADRB2 SNPs, are associated with bone stiffness in children from the IDEFICS cohort, also evaluating whether NMU and ADRB2 interact to affect this trait. A sample of 2,274 subjects (52.5% boys, age 6.2±1.8 years) from eight European countries, having data on calcaneus bone stiffness index (SI, mean of both feet) and genotyping ( NMU gene: rs6827359, rs12500837, rs9999653; ADRB2 gene: rs1042713, rs1042714), was studied. After false discovery rate adjustment, SI was significantly associated with all NMU SNPs. rs6827359 CC homozygotes showed the strongest association (recessive model, Δ = −1.8, p = 0.006). Among the five retrieved haplotypes with frequencies higher than 1% (range 2.0–43.9%), the CCT haplotype (frequency = 39.7%) was associated with lower SI values (dominant model, Δ = −1.0, p = 0.04) as compared to the most prevalent haplotype. A non-significant decrease in SI was observed in in ADRB2 rs1042713 GG homozygotes, while subjects carrying SI-lowering genotypes at both SNPs (frequency = 8.4%) showed much lower SI than non-carriers (Δ = −3.9, p<0.0001; p for interaction = 0.025). The association was more evident in preschool girls, in whom SI showed a curvilinear trend across ages. In subgroup analyses, rs9999653 CC NMU or both GG ADRB2 genotypes were associated with either lower serum calcium or β-CrossLaps levels ( p = 0.01). This study in European children shows, for the first time in humans, a role for NMU gene through interaction with ADRB2 gene in bone strength regulation, more evident in preschool girls.

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          Genetics of osteoporosis from genome-wide association studies: advances and challenges.

          Osteoporosis is among the most common and costly diseases and is increasing in prevalence owing to the ageing of our global population. Clinically defined largely through bone mineral density, osteoporosis and osteoporotic fractures have reasonably high heritabilities, prompting much effort to identify the genetic determinants of this disease. Genome-wide association studies have recently provided rapid insights into the allelic architecture of this condition, identifying 62 genome-wide-significant loci. Here, we review how these new loci provide an opportunity to explore how the genetics of osteoporosis can elucidate its pathophysiology, provide drug targets and allow for prediction of future fracture risk.
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            The IDEFICS cohort: design, characteristics and participation in the baseline survey.

            The European IDEFICS (Identification and prevention of dietary- and lifestyle-induced health effects in children and infants) study was set up to determine the aetiology of overweight, obesity and related disorders in children, and to develop and evaluate a tailored primary prevention programme. This paper focuses on the aetiological element of the multicentre study, the measures and examinations, sociodemographic characteristics of the study sample and proportions of participation. Prospective cohort study with an embedded intervention study that started with a baseline survey in eight countries in 2007-2008. Baseline participants of the prospective cohort study were 16,224 children aged 2-9 years. Parents reported sociodemographic, behavioural, medical, nutritional and other lifestyle data for their children and families. Examinations of children included anthropometry, blood pressure, fitness, accelerometry, DNA from saliva and physiological markers in blood and urine. The built environment, sensory taste perception and other mechanisms of children's food choices and consumer behaviour were studied in subgroups. Between 1507 and 2567, children with a mean age of 6.0 years and an even sex distribution were recruited from each country. Of them, 82% lived in two-parent families. The distribution of standardised income levels differed by study sample, with low-income groups being strongly represented in Cyprus, Italy and Germany. At least one 24-h dietary recall was obtained for two-thirds of the children. Blood pressure and anthropometry were assessed in more than 90%. A 3-day accelerometry was performed in 46%, motor fitness was assessed in 41%, cardiorespiratory fitness in 35% and ∼11% participated in taste perception tests. The proportion of children donating venous blood, urine and saliva was 57, 86 and 88%, respectively. The IDEFICS cohort provides valuable data to investigate the interplay of social, environmental, genetic, physiological and behavioural factors in the development of major diet- and lifestyle-related disorders affecting children at present.
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              Quantitative ultrasound methods to assess bone mineral status in children: technical characteristics, performance, and clinical application.

              Measurement of bone mineral status may be a useful tool in identifying the children who could be exposed to an increased risk of osteoporosis in adulthood. Dual energy x-ray absorptiometry and peripheral quantitative computed tomography may be used to this purpose, but the exposure to ionizing radiation is a limiting factor for preventive studies in large populations of children. In the last years, quantitative ultrasound (QUS) methods have been developed to assess bone mineral status in some peripheral skeletal sites such as calcaneus, phalanges of the hand, and tibia. QUS techniques are safe, easy to use, radiation-free, and devices are portable, so that they are particularly indicated to assess bone mineral status in children. This review will concentrate on the main methodological principles of ultrasounds and the QUS variables derived from their application to bone tissue, technical differences and performance of QUS methods, factors influencing QUS measurements, normative data and results obtained in children with disturbances of growth or affected by disorders of bone and mineral metabolism, including the assessment of fracture risk, and comparison among QUS, dual energy x-ray absorptiometry, and peripheral quantitative computed tomography methods.
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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, USA )
                1932-6203
                2013
                1 August 2013
                : 8
                : 8
                : e70632
                Affiliations
                [1 ]Research Laboratories, Fondazione di Ricerca e Cura “Giovanni Paolo II”, Università Cattolica del Sacro Cuore, Campobasso, Italy
                [2 ]Casa di Cura Montevergine, Mercogliano (AV), Italy
                [3 ]Department of Epidemiological Methods and Etiologic Research, Leibniz-Institute for Prevention Research and Epidemiology - BIPS GmbH, Bremen, Germany
                [4 ]Department of Mathematics and Computer Sciences, University of Bremen, Bremen, Germany
                [5 ]School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
                [6 ]Institute for Public Health and Nursing Research, University of Bremen, Bremen, Germany
                [7 ]Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
                [8 ]Research and Education Institute of Child Health, Strovolos, Cyprus
                [9 ]Department of Pediatrics, Institute of Clinical Sciences, The Queen Silvia Children’s Hospital, Sahlgrenska Academy at University of Gothenburg, Göteborg, Sweden
                [10 ]Department of Pediatrics, University of Pécs, Pécs, Hungary
                [11 ]GENUD (Growth, Exercise, NUtrition and Development) Research Group, University of Zaragoza, Zaragoza, Spain
                [12 ]Epidemiology & Population Genetics, Institute of Food Sciences, CNR, Avellino, Italy
                [13 ]Department of Preventive and Predictive Medicine, Nutritional Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
                [14 ]Department of Public Health, Ghent University, Ghent, Belgium
                [15 ]FWO, Research Foundation Flanders, Brussels, Belgium
                [16 ]Center of Health and Behavioral Science, National Institute for Health Development, Tallinn, Estonia
                [17 ]Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli (IS), Italy
                University of Rouen, France
                Author notes

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

                Conceived and designed the experiments: WA LI. Performed the experiments: DC MESB ACK. Analyzed the data: FG KB. Wrote the paper: FG LI. Acquisition of data: DH YK SM DM LAM YPP PR AS SS IS TV. Revising and approving final version of manuscript: FG DC WA MESB KB DH ACK YK SM DM LAM YPP PR AS SS IS TV LI.

                Article
                PONE-D-13-14477
                10.1371/journal.pone.0070632
                3731254
                23936460
                87ad9733-7812-47b1-8602-6e7b2730157d
                Copyright @ 2013

                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
                : 9 April 2013
                : 20 June 2013
                Page count
                Pages: 7
                Funding
                This study is supported by the European Community within the Sixth RTD Framework Programme Contract no. 016181 (FOOD) and by the grant from EU for the IDEFICS study ( http://www.idefics.eu). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Biochemistry
                Neurochemistry
                Neurochemicals
                Neuropeptides
                Computational Biology
                Population Genetics
                Genetic Polymorphism
                Evolutionary Biology
                Population Genetics
                Genetic Polymorphism
                Neuroscience
                Neurochemistry
                Neurochemicals
                Neuropeptides
                Medicine
                Endocrinology
                Neuroendocrinology
                Epidemiology
                Biomarker Epidemiology
                Genetic Epidemiology
                Pediatric Epidemiology
                Pediatrics
                Child Development
                Public Health
                Rheumatology
                Bone and Mineral Metabolism

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                Uncategorized

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