41 research outputs found

    TFAP2B influences the effect of dietary fat on weight loss under energy restriction

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    BACKGROUND: Numerous gene loci are related to single measures of body weight and shape. We investigated if 55 SNPs previously associated with BMI or waist measures, modify the effects of fat intake on weight loss and waist reduction under energy restriction. METHODS AND FINDINGS: Randomized controlled trial of 771 obese adults. (Registration: ISRCTN25867281.) One SNP was selected for replication in another weight loss intervention study of 934 obese adults. The original trial was a 10-week 600 kcal/d energy-deficient diet with energy percentage from fat (fat%) in range of 20-25 or 40-45. The replication study used an 8-weeks diet of 880 kcal/d and 20 fat%; change in fat% intake was used for estimation of interaction effects. The main outcomes were intervention weight loss and waist reduction. In the trial, mean change in fat% intake was -12/+4 in the low/high-fat groups. In the replication study, it was -23/-12 among those reducing fat% more/less than the median. TFAP2B-rs987237 genotype AA was associated with 1.0 kg (95% CI, 0.4; 1.6) greater weight loss on the low-fat, and GG genotype with 2.6 kg (1.1; 4.1) greater weight loss on the high-fat (interaction p-value; p = 0.00007). The replication study showed a similar (non-significant) interaction pattern. Waist reduction results generally were similar. Study-strengths include (i) the discovery study randomised trial design combined with the replication opportunity (ii) the strict dietary intake control in both studies (iii) the large sample sizes of both studies. Limitations are (i) the low minor allele frequency of the TFAP2B polymorphism, making it hard to investigate non-additive genetic effects (ii) the different interventions preventing identical replication-discovery study designs (iii) some missing data for non-completers and dietary intake. No adverse effects/outcomes or side-effects were observed. CONCLUSIONS: Under energy restriction, TFAP2B may modify the effect of dietary fat intake on weight loss and waist reduction

    Dual dean entrainment with volume ratio modulation for efficient droplet co-encapsulation: Extreme single-cell indexing

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    The future of single cell diversity screens involves ever-larger sample sizes, dictating the need for higher throughput methods with low analytical noise to accurately describe the nature of the cellular system. Current approaches are limited by the Poisson statistic, requiring dilute cell suspensions and associated losses in throughput. In this contribution, we apply Dean entrainment to both cell and bead inputs, defining different volume packets to effect efficient co-encapsulation. Volume ratio scaling was explored to identify optimal conditions. This enabled the co-encapsulation of single cells with reporter beads at rates of ∌1 million cells per hour, while increasing assay signal-to-noise with cell multiplet rates of ∌2.5% and capturing ∌70% of cells. The method, called Pirouette coupling, extends our capacity to investigate biological systems.Jack Harrington, Luis Blay Esteban, Jonathan Butement, Andres F. Vallejo, Simon I. R. Lane, Bhavwanti Sheth, Maaike S. A. Jongen, Rachel Parker, Patrick S. Stumpf, Rosanna C. G. Smith, Ben D. MacArthur, Matthew J. J. Rose-Zerilli, Marta E. Polak, Tim Underwood and Jonathan Wes

    Infrastructure for Detector Research and Development towards the International Linear Collider

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    The EUDET-project was launched to create an infrastructure for developing and testing new and advanced detector technologies to be used at a future linear collider. The aim was to make possible experimentation and analysis of data for institutes, which otherwise could not be realized due to lack of resources. The infrastructure comprised an analysis and software network, and instrumentation infrastructures for tracking detectors as well as for calorimetry.Comment: 54 pages, 48 picture

    The Genetic Landscape and Epidemiology of Phenylketonuria

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    Phenylketonuria (PKU), caused by variants in the phenylalanine hydroxylase (PAH) gene, is the most common autosomal-recessive Mendelian phenotype of amino acid metabolism. We estimated that globally 0.45 million individuals have PKU, with global prevalence 1:23,930 live births (range 1:4,500 [Italy]–1:125,000 [Japan]). Comparing genotypes and metabolic phenotypes from 16,092 affected subjects revealed differences in disease severity in 51 countries from 17 world regions, with the global phenotype distribution of 62% classic PKU, 22% mild PKU, and 16% mild hyperphenylalaninemia. A gradient in genotype and phenotype distribution exists across Europe, from classic PKU in the east to mild PKU in the southwest and mild hyperphenylalaninemia in the south. The c.1241A>G (p.Tyr414Cys)-associated genotype can be traced from Northern to Western Europe, from Sweden via Norway, to Denmark, to the Netherlands. The frequency of classic PKU increases from Europe (56%) via Middle East (71%) to Australia (80%). Of 758 PAH variants, c.1222C>T (p.Arg408Trp) (22.2%), c.1066−11G>A (IVS10−11G>A) (6.4%), and c.782G>A (p.Arg261Gln) (5.5%) were most common and responsible for two prevalent genotypes: p.[Arg408Trp];[Arg408Trp] (11.4%) and c.[1066−11G>A];[1066−11G>A] (2.6%). Most genotypes (73%) were compound heterozygous, 27% were homozygous, and 55% of 3,659 different genotypes occurred in only a single individual. PAH variants were scored using an allelic phenotype value and correlated with pre-treatment blood phenylalanine concentrations (n = 6,115) and tetrahydrobiopterin loading test results (n = 4,381), enabling prediction of both a genotype-based phenotype (88%) and tetrahydrobiopterin responsiveness (83%). This study shows that large genotype databases enable accurate phenotype prediction, allowing appropriate targeting of therapies to optimize clinical outcome.Fil: Hillert, Alicia. No especifĂ­ca;Fil: Anikster, Yair. No especifĂ­ca;Fil: Belanger Quintana, Amaya. No especifĂ­ca;Fil: Burlina, Alberto. No especifĂ­ca;Fil: Burton, Barbara K.. No especifĂ­ca;Fil: Carducci, Carla. No especifĂ­ca;Fil: Chiesa, Ana Elena. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Centro de Investigaciones EndocrinolĂłgicas "Dr. CĂ©sar Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones EndocrinolĂłgicas "Dr. CĂ©sar Bergada". FundaciĂłn de EndocrinologĂ­a Infantil. Centro de Investigaciones EndocrinolĂłgicas "Dr. CĂ©sar Bergada"; ArgentinaFil: Christodoulou, John. No especifĂ­ca;Fil: Dordevic, Maja. No especifĂ­ca;Fil: Desviat, Lourdes R.. No especifĂ­ca;Fil: Eliyahu, Aviva. No especifĂ­ca;Fil: Evers, Roeland A.F.. No especifĂ­ca;Fil: Fajkusova, Lena. No especifĂ­ca;Fil: Feillet, Francois. No especifĂ­ca;Fil: Bonfim Freitas, Pedro E.. No especifĂ­ca;Fil: Gizewska, MarĂ­a. No especifĂ­ca;Fil: Gundorova, Polina. No especifĂ­ca;Fil: Karall, Daniela. No especifĂ­ca;Fil: Kneller, Katya. No especifĂ­ca;Fil: Kutsev, Sergey I.. No especifĂ­ca;Fil: Leuzzi, Vincenzo. No especifĂ­ca;Fil: Levy, Harvey L.. No especifĂ­ca;Fil: Lichter Koneck, Uta. No especifĂ­ca;Fil: Muntau, Ania C.. No especifĂ­ca;Fil: Namour, Fares. No especifĂ­ca;Fil: Oltarzewsk, Mariusz. No especifĂ­ca;Fil: Paras, Andrea. No especifĂ­ca;Fil: Perez, BelĂ©n. No especifĂ­ca;Fil: Polak, Emil. No especifĂ­ca;Fil: Polyakov, Alexander V.. No especifĂ­ca;Fil: Porta, Francesco. No especifĂ­ca;Fil: Rohrbach, Marianne. No especifĂ­ca;Fil: Scholl BĂŒrgi, Sabine. No especifĂ­ca;Fil: SpĂ©cola, Norma. No especifĂ­ca;Fil: Stojiljkovic, Maja. No especifĂ­ca;Fil: Shen, Nan. No especifĂ­ca;Fil: Santana da Silva, Luiz C.. No especifĂ­ca;Fil: Skouma, Anastasia. No especifĂ­ca;Fil: van Spronsen, Francjan. No especifĂ­ca;Fil: Stoppioni, Vera. No especifĂ­ca;Fil: Thöny, Beat. No especifĂ­ca;Fil: Trefz, Friedrich K.. No especifĂ­ca;Fil: Vockley, Jerry. No especifĂ­ca;Fil: Yu, Youngguo. No especifĂ­ca;Fil: Zschocke, Johannes. No especifĂ­ca;Fil: Hoffmann, Georg F.. No especifĂ­ca;Fil: Garbade, Sven F.. No especifĂ­ca;Fil: Blau, Nenad. No especifĂ­ca

    Long-range Angular Correlations On The Near And Away Side In P-pb Collisions At √snn=5.02 Tev

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    7191/Mar294
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