22 results on '"Geus, ED"'
Search Results
2. Tracking of an electron beam through the solar corona with LOFAR
- Author
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Mann, G, Breitling, F, Vocks, C, Aurass, H, Steinmetz, M, Strassmeier, KG, Bisi, MM, Fallows, RA, Gallagher, P, Kerdraon, A, Mackinnon, A, Magdalenic, J, Rucker, H, Anderson, J, Asgekar, A, Avruch, IM, Bell, ME, Bentum, MJ, Bernardi, G, Best, P, Bîrzan, L, Bonafede, A, Broderick, JW, Brüggen, M, Butcher, HR, Ciardi, B, Corstanje, A, Gasperin, FD, Geus, ED, Deller, A, Duscha, S, Eislöffel, J, Engels, D, Falcke, H, Fender, R, Ferrari, C, Frieswijk, W, Garrett, MA, Grießmeier, J, Gunst, AW, Haarlem, MV, Hassall, TE, Heald, G, Hessels, JWT, Hoeft, M, Hörandel, J, Horneffer, A, Juette, E, Karastergiou, A, Klijn, WFA, Kondratiev, VI, Kramer, M, Kuniyoshi, M, Kuper, G, Maat, P, Markoff, S, McFadden, R, McKay-Bukowski, D, McKean, JP, Mulcahy, DD, Munk, H, Nelles, A, Norden, MJ, Orru, E, Paas, H, Pandey-Pommier, M, Pandey, VN, Pizzo, R, Polatidis, AG, Rafferty, D, Reich, W, Röttgering, H, Scaife, AMM, Schwarz, DJ, Serylak, M, Sluman, J, Smirnov, O, Stappers, BW, Tagger, M, Tang, Y, Tasse, C, Veen, ST, Thoudam, S, Toribio, MC, Vermeulen, R, Weeren, RJV, Wise, MW, Wucknitz, O, Yatawatta, S, Zarka, P, Zensus, JA, Mann, G, Breitling, F, Vocks, C, Aurass, H, Steinmetz, M, Strassmeier, KG, Bisi, MM, Fallows, RA, Gallagher, P, Kerdraon, A, Mackinnon, A, Magdalenic, J, Rucker, H, Anderson, J, Asgekar, A, Avruch, IM, Bell, ME, Bentum, MJ, Bernardi, G, Best, P, Bîrzan, L, Bonafede, A, Broderick, JW, Brüggen, M, Butcher, HR, Ciardi, B, Corstanje, A, Gasperin, FD, Geus, ED, Deller, A, Duscha, S, Eislöffel, J, Engels, D, Falcke, H, Fender, R, Ferrari, C, Frieswijk, W, Garrett, MA, Grießmeier, J, Gunst, AW, Haarlem, MV, Hassall, TE, Heald, G, Hessels, JWT, Hoeft, M, Hörandel, J, Horneffer, A, Juette, E, Karastergiou, A, Klijn, WFA, Kondratiev, VI, Kramer, M, Kuniyoshi, M, Kuper, G, Maat, P, Markoff, S, McFadden, R, McKay-Bukowski, D, McKean, JP, Mulcahy, DD, Munk, H, Nelles, A, Norden, MJ, Orru, E, Paas, H, Pandey-Pommier, M, Pandey, VN, Pizzo, R, Polatidis, AG, Rafferty, D, Reich, W, Röttgering, H, Scaife, AMM, Schwarz, DJ, Serylak, M, Sluman, J, Smirnov, O, Stappers, BW, Tagger, M, Tang, Y, Tasse, C, Veen, ST, Thoudam, S, Toribio, MC, Vermeulen, R, Weeren, RJV, Wise, MW, Wucknitz, O, Yatawatta, S, Zarka, P, and Zensus, JA
- Abstract
© ESO 2018. The Sun's activity leads to bursts of radio emission, among other phenomena. An example is type-III radio bursts. They occur frequently and appear as short-lived structures rapidly drifting from high to low frequencies in dynamic radio spectra. They are usually interpreted as signatures of beams of energetic electrons propagating along coronal magnetic field lines. Here we present novel interferometric LOFAR (LOw Frequency ARray) observations of three solar type-III radio bursts and their reverse bursts with high spectral, spatial, and temporal resolution. They are consistent with a propagation of the radio sources along the coronal magnetic field lines with nonuniform speed. Hence, the type-III radio bursts cannot be generated by a monoenergetic electron beam, but by an ensemble of energetic electrons with a spread distribution in velocity and energy. Additionally, the density profile along the propagation path is derived in the corona. It agrees well with three-fold coronal density model by (1961, ApJ, 133, 983).
- Published
- 2018
3. Discovery and Fine-Mapping of Glycaemic and Obesity-Related Trait Loci Using High-Density Imputation
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Horikoshi, M, Magi, R, van de Bunt, M, Surakka, I, Sarin, AP, Mahajan, A, Marullo, L, Thorleifsson, G, Hagg, S, Hottenga, JJ (Jouke Jan), Ladenvall, C, Ried, JS, Winkler, TW, Willems, SM, Pervjakova, N, Esko, T, Beekman, M, Nelson, CP, Willenborg, C, Wiltshire, S, Ferreira, T, Fernandez, J, Gaulton, KJ, Steinthorsdottir, V, Hamsten, A, Magnusson, PKE, Willemsen, G, Milaneschi, Y, Robertson, NR, Groves, CJ, Bennett, AJ, Lehtimaki, T, Viikari, JS, Rung, J, Lyssenko, V, Perola, M, Heid, IM, Herder, Cindy, Grallert, H, Muller-Nurasyid, M, Roden, M, Hypponen, E, Isaacs, Aaron, Leeuwen, Elisa, Karssen, Lennart, Mihailov, E, Houwing-Duistermaat, JJ, de Craen, AJM, Deelen, J, Havulinna, AS, Blades, M, Hengstenberg, C, Erdmann, J, Schunkert, H, Kaprio, J, Tobin, MD, Samani, NJ, Lind, L, Salomaa, V, Lindgren, CM, Slagboom, PE (Eline), Metspalu, A, Duijn, Cornelia, Eriksson, JG, Peters, A, Gieger, C, Jula, A, Groop, L, Raitakari, OT, Power, C, Penninx, BWJH, de Geus, ED, Smit, JH, Boomsma, DI, Pedersen, NL, Ingelsson, E, Thorsteinsdottir, U, Stefansson, K, Ripatti, S, Prokopenko, I, McCarthy, MI, Morris, AP, Horikoshi, M, Magi, R, van de Bunt, M, Surakka, I, Sarin, AP, Mahajan, A, Marullo, L, Thorleifsson, G, Hagg, S, Hottenga, JJ (Jouke Jan), Ladenvall, C, Ried, JS, Winkler, TW, Willems, SM, Pervjakova, N, Esko, T, Beekman, M, Nelson, CP, Willenborg, C, Wiltshire, S, Ferreira, T, Fernandez, J, Gaulton, KJ, Steinthorsdottir, V, Hamsten, A, Magnusson, PKE, Willemsen, G, Milaneschi, Y, Robertson, NR, Groves, CJ, Bennett, AJ, Lehtimaki, T, Viikari, JS, Rung, J, Lyssenko, V, Perola, M, Heid, IM, Herder, Cindy, Grallert, H, Muller-Nurasyid, M, Roden, M, Hypponen, E, Isaacs, Aaron, Leeuwen, Elisa, Karssen, Lennart, Mihailov, E, Houwing-Duistermaat, JJ, de Craen, AJM, Deelen, J, Havulinna, AS, Blades, M, Hengstenberg, C, Erdmann, J, Schunkert, H, Kaprio, J, Tobin, MD, Samani, NJ, Lind, L, Salomaa, V, Lindgren, CM, Slagboom, PE (Eline), Metspalu, A, Duijn, Cornelia, Eriksson, JG, Peters, A, Gieger, C, Jula, A, Groop, L, Raitakari, OT, Power, C, Penninx, BWJH, de Geus, ED, Smit, JH, Boomsma, DI, Pedersen, NL, Ingelsson, E, Thorsteinsdottir, U, Stefansson, K, Ripatti, S, Prokopenko, I, McCarthy, MI, and Morris, AP
- Abstract
Reference panels from the 1000 Genomes (1000G) Project Consortium provide near complete coverage of common and low-frequency genetic variation with minor allele frequency >= 0.5% across European ancestry populations. Within the European Network for Genetic and Genomic Epidemiology (ENGAGE) Consortium, we have undertaken the first large-scale meta-analysis of genome-wide association studies (GWAS), supplemented by 1000G imputation, for four quantitative glycaemic and obesity-related traits, in up to 87,048 individuals of European ancestry. We identified two loci for body mass index (BMI) at genome-wide significance, and two for fasting glucose (FG), none of which has been previously reported in larger meta-analysis efforts to combine GWAS of European ancestry. Through conditional analysis, we also detected multiple distinct signals of association mapping to established loci for waist-hip ratio adjusted for BMI (RSPO3) and FG (GCK and G6PC2). The index variant for one association signal at the G6PC2 locus is a low-frequency coding allele, H177Y, which has recently been demonstrated to have a functional role in glucose regulation. Fine-mapping analyses revealed that the non-coding variants most likely to drive association signals at established and novel loci were enriched for overlap with enhancer elements, which for FG mapped to promoter and transcription factor binding sites in pancreatic islets, in particular. Our study demonstrates that 1000G imputation and genetic fine-mapping of common and low-frequency variant association signals at GWAS loci, integrated with genomic annotation in relevant tissues, can provide insight into the functional and regulatory mechanisms through which their effects on glycaemic and obesity-related traits are mediated.
- Published
- 2015
4. Genome-wide meta-analysis of common variant differences between men and women
- Author
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Boraska, V, Jeroncic, A, Colonna, V, Southam, L, Nyholt, DR, Rayner, NW, Perry, JRB, Toniolo, D, Albrecht, E, Ang, W, Bandinelli, S, Barbalic, M, Barroso, I, Beckmann, JS, Biffar, R, Boomsma, D, Campbell, H, Corre, T, Erdmann, J, Esko, T, Fischer, K (Kirsten), Franceschini, N, Frayling, TM, Girotto, G, Gonzalez, JR, Harris, TB, Heath, AC, Heid, IM, Hoffmann, W, Hofman, Bert, Horikoshi, M, Zhao, JH, Jackson, AU, Hottenga, JJ (Jouke Jan), Jula, A, Kahonen, M, Khaw, KT, Kiemeney, LA, Klopp, N, Kutalik, Z, Lagou, V, Launer, LJ (Lenore), Lehtimaki, T, Lemire, M, Lokki, ML, Loley, C, Luan, JA, Mangino, M, Leach, IM, Medland, SE, Mihailov, E, Montgomery, GW, Navis, G, Newnham, J, Nieminen, MS, Palotie, A, Panoutsopoulou, K, Peters, A, Pirastu, N, Polasek, O, Rehnstrom, K, Ripatti, S, Ritchie, GRS, Rivadeneira, Fernando, Robino, A, Samani, NJ, Shin, SY, Sinisalo, J, Smit, JH, Soranzo, N, Stolk, Lisette, Swinkels, DW, Tanaka, T, Teumer, A, Tonjes, A, Traglia, M, Tuomilehto, J, Valsesia, A, van Gilst, WH, van Meurs, Joyce, Smith, AV, Viikari, J, Vink, JM, Waeber, G, Warrington, NM, Widen, E, Willemsen, G, Wright, AF, Zanke, BW, Zgaga, L, Boehnke, M, d'Adamo, AP, de Geus, ED, Demerath, EW, Heijer, Mariska, Eriksson, JG, Ferrucci, L, Gieger, C, Gudnason, V, Hayward, C, Hengstenberg, C, Hudson, TJ, Jarvelin, MR, Kogevinas, M, Loos, RJF, Martin, NG, Metspalu, A, Pennell, CE, Penninx, BW, Perola, M, Raitakari, O, Salomaa, V, Schreiber, S, Schunkert, H, Spector, TD, Stumvoll, M, Uitterlinden, André, Ulivi, S, van der Harst, P, Vollenweider, P, Volzke, H, Wareham, NJ, Wichmann, HE, Wilson, JF, Rudan, I, Xue, YL, Zeggini, E, Boraska, V, Jeroncic, A, Colonna, V, Southam, L, Nyholt, DR, Rayner, NW, Perry, JRB, Toniolo, D, Albrecht, E, Ang, W, Bandinelli, S, Barbalic, M, Barroso, I, Beckmann, JS, Biffar, R, Boomsma, D, Campbell, H, Corre, T, Erdmann, J, Esko, T, Fischer, K (Kirsten), Franceschini, N, Frayling, TM, Girotto, G, Gonzalez, JR, Harris, TB, Heath, AC, Heid, IM, Hoffmann, W, Hofman, Bert, Horikoshi, M, Zhao, JH, Jackson, AU, Hottenga, JJ (Jouke Jan), Jula, A, Kahonen, M, Khaw, KT, Kiemeney, LA, Klopp, N, Kutalik, Z, Lagou, V, Launer, LJ (Lenore), Lehtimaki, T, Lemire, M, Lokki, ML, Loley, C, Luan, JA, Mangino, M, Leach, IM, Medland, SE, Mihailov, E, Montgomery, GW, Navis, G, Newnham, J, Nieminen, MS, Palotie, A, Panoutsopoulou, K, Peters, A, Pirastu, N, Polasek, O, Rehnstrom, K, Ripatti, S, Ritchie, GRS, Rivadeneira, Fernando, Robino, A, Samani, NJ, Shin, SY, Sinisalo, J, Smit, JH, Soranzo, N, Stolk, Lisette, Swinkels, DW, Tanaka, T, Teumer, A, Tonjes, A, Traglia, M, Tuomilehto, J, Valsesia, A, van Gilst, WH, van Meurs, Joyce, Smith, AV, Viikari, J, Vink, JM, Waeber, G, Warrington, NM, Widen, E, Willemsen, G, Wright, AF, Zanke, BW, Zgaga, L, Boehnke, M, d'Adamo, AP, de Geus, ED, Demerath, EW, Heijer, Mariska, Eriksson, JG, Ferrucci, L, Gieger, C, Gudnason, V, Hayward, C, Hengstenberg, C, Hudson, TJ, Jarvelin, MR, Kogevinas, M, Loos, RJF, Martin, NG, Metspalu, A, Pennell, CE, Penninx, BW, Perola, M, Raitakari, O, Salomaa, V, Schreiber, S, Schunkert, H, Spector, TD, Stumvoll, M, Uitterlinden, André, Ulivi, S, van der Harst, P, Vollenweider, P, Volzke, H, Wareham, NJ, Wichmann, HE, Wilson, JF, Rudan, I, Xue, YL, and Zeggini, E
- Abstract
The male-to-female sex ratio at birth is constant across world populations with an average of 1.06 (106 male to 100 female live births) for populations of European descent. The sex ratio is considered to be affected by numerous biological and environmental factors and to have a heritable component. The aim of this study was to investigate the presence of common allele modest effects at autosomal and chromosome X variants that could explain the observed sex ratio at birth. We conducted a large-scale genome-wide association scan (GWAS) meta-analysis across 51 studies, comprising overall 114 863 individuals (61 094 women and 53 769 men) of European ancestry and 2 623 828 common (minor allele frequency 0.05) single-nucleotide polymorphisms (SNPs). Allele frequencies were compared between men and women for directly-typed and imputed variants within each study. Forward-time simulations for unlinked, neutral, autosomal, common loci were performed under the demographic model for European populations with a fixed sex ratio and a random mating scheme to assess the probability of detecting significant allele frequency differences. We do not detect any genome-wide significant (P 5 10(8)) common SNP differences between men and women in this well-powered meta-analysis. The simulated data provided results entirely consistent with these findings. This large-scale investigation across approximate to 115 000 individuals shows no detectable contribution from common genetic variants to the observed skew in the sex ratio. The absence of sex-specific differences is useful in guiding genetic association study design, for example when using mixed controls for sex-biased traits.
- Published
- 2012
5. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance
- Author
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Manning, AK, Hivert, MF, Scott, RA, Grimsby, JL, Bouatia-Naji, N, Chen, H, Rybin, D, Liu, CT, Bielak, LF, Prokopenko, I, Amin, Najaf, Barnes, D, Cadby, G, Hottenga, JJ (Jouke Jan), Ingelsson, E, Jackson, AU, Johnson, T, Kanoni, S, Ladenvall, C, Lagou, V, Lahti, J, Lecoeur, C, Liu, YM, Martinez-Larrad, MT, Montasser, ME, Navarro, P, Perry, JRB, Rasmussen-Torvik, LJ, Salo, P, Sattar, N, Shungin, D, Strawbridge, RJ, Tanaka, T, Duijn, Cornelia, An, P, de Andrade, M, Andrews, JS, Aspelund, T, Atalay, M, Aulchenko, Yuriy, Balkau, B, Bandinelli, S, Beckmann, JS, Beilby, JP, Bellis, C, Bergman, RN, Blangero, J, Boban, M, Boehnke, M, Boerwinkle, E, Bonnycastle, LL, Boomsma, DI, Borecki, IB, Boettcher, Y, Bouchard, C, Brunner, E, Budimir, D, Campbell, H, Carlson, O, Chines, PS, Clarke, R, Collins, FS, Corbaton-Anchuelo, A, Couper, D, de Faire, U, Dedoussis, GV, Deloukas, P, Dimitriou, M, Egan, JM, Eiriksdottir, G, Erdos, MR, Eriksson, JG, Eury, E, Ferrucci, L, Ford, I, Forouhi, NG, Fox, CS, Franzosi, MG, Franks, PW, Frayling, TM, Froguel, P, Galan, P, de Geus, ED, Gigante, B, Glazer, NL, Goel, A, Groop, L, Gudnason, V, Hallmans, G, Hamsten, A, Hansson, O, Harris, TB, Hayward, C, Heath, S, Hercberg, S, Hicks, AA, Hingorani, A, Hofman, Bert, Hui, J, Hung, J, Jarvelin, MR, Jhun, MA, Johnson, PCD, Jukema, JW, Jula, A, Kao, WH, Kaprio, J, Kardia, SLR, Keinanen-Kiukaanniemi, S, Kivimaki, M, Kolcic, I, Kovacs, P, Kumari, M, Kuusisto, J, Kyvik, KO, Laakso, M, Lakka, T, Lannfelt, L, Lathrop, GM, Launer, LJ (Lenore), Leander, K, Li, G (Guo), Lind, L, Lindstrom, J, Lobbens, S, Loos, RJF, Luan, JA, Lyssenko, V, Magi, R, Magnusson, PKE, Marmot, M, Meneton, P, Mohlke, KL, Mooser, V, Morken, MA, Miljkovic, I, Narisu, N, O'Connell, J, Ong, KK, Oostra, Ben, Palmer, LJ, Palotie, A, Pankow, JS, Peden, JF, Pedersen, NL, Pehlic, M, Peltonen, L, Penninx, B, Pericic, M, Perola, M, Perusse, L, Peyser, PA, Polasek, O, Pramstaller, PP, Province, MA, Raikkonen, K, Rauramaa, R, Rehnberg, E, Rice, K, Rotter, JI, Rudan, I, Ruokonen, A, Saaristo, T, Sabater-Lleal, M, Salomaa, V, Savage, DB, Saxena, R, Schwarz, P, Seedorf, U, Sennblad, B, Serrano-Rios, M, Shuldiner, AR, Sijbrands, E.J.G., Siscovick, DS, Smit, JH, Small, KS, Smith, NL, Smith, AV, Stancakova, A, Stirrups, K, Stumvoll, M, Sun, YV, Swift, AJ, Toenjes, A, Tuomilehto, J, Trompet, S, Uitterlinden, André, Uusitupa, M, Vikstrom, M, Vitart, V, Vohl, MC, Voight, BF, Vollenweider, P, Waeber, G, Waterworth, DM, Watkins, H, Wheeler, E, Widen, E, Wild, SH, Willems, SM, Willemsen, G, Wilson, JF, Witteman, JCM, Wright, AF, Yaghootkar, H, Zelenika, D, Zemunik, T, Zgaga, L, Wareham, NJ, McCarthy, MI, Barroso, I, Watanabe, RM, Florez, JC, Dupuis, J, Meigs, JB, Langenberg, C, Manning, AK, Hivert, MF, Scott, RA, Grimsby, JL, Bouatia-Naji, N, Chen, H, Rybin, D, Liu, CT, Bielak, LF, Prokopenko, I, Amin, Najaf, Barnes, D, Cadby, G, Hottenga, JJ (Jouke Jan), Ingelsson, E, Jackson, AU, Johnson, T, Kanoni, S, Ladenvall, C, Lagou, V, Lahti, J, Lecoeur, C, Liu, YM, Martinez-Larrad, MT, Montasser, ME, Navarro, P, Perry, JRB, Rasmussen-Torvik, LJ, Salo, P, Sattar, N, Shungin, D, Strawbridge, RJ, Tanaka, T, Duijn, Cornelia, An, P, de Andrade, M, Andrews, JS, Aspelund, T, Atalay, M, Aulchenko, Yuriy, Balkau, B, Bandinelli, S, Beckmann, JS, Beilby, JP, Bellis, C, Bergman, RN, Blangero, J, Boban, M, Boehnke, M, Boerwinkle, E, Bonnycastle, LL, Boomsma, DI, Borecki, IB, Boettcher, Y, Bouchard, C, Brunner, E, Budimir, D, Campbell, H, Carlson, O, Chines, PS, Clarke, R, Collins, FS, Corbaton-Anchuelo, A, Couper, D, de Faire, U, Dedoussis, GV, Deloukas, P, Dimitriou, M, Egan, JM, Eiriksdottir, G, Erdos, MR, Eriksson, JG, Eury, E, Ferrucci, L, Ford, I, Forouhi, NG, Fox, CS, Franzosi, MG, Franks, PW, Frayling, TM, Froguel, P, Galan, P, de Geus, ED, Gigante, B, Glazer, NL, Goel, A, Groop, L, Gudnason, V, Hallmans, G, Hamsten, A, Hansson, O, Harris, TB, Hayward, C, Heath, S, Hercberg, S, Hicks, AA, Hingorani, A, Hofman, Bert, Hui, J, Hung, J, Jarvelin, MR, Jhun, MA, Johnson, PCD, Jukema, JW, Jula, A, Kao, WH, Kaprio, J, Kardia, SLR, Keinanen-Kiukaanniemi, S, Kivimaki, M, Kolcic, I, Kovacs, P, Kumari, M, Kuusisto, J, Kyvik, KO, Laakso, M, Lakka, T, Lannfelt, L, Lathrop, GM, Launer, LJ (Lenore), Leander, K, Li, G (Guo), Lind, L, Lindstrom, J, Lobbens, S, Loos, RJF, Luan, JA, Lyssenko, V, Magi, R, Magnusson, PKE, Marmot, M, Meneton, P, Mohlke, KL, Mooser, V, Morken, MA, Miljkovic, I, Narisu, N, O'Connell, J, Ong, KK, Oostra, Ben, Palmer, LJ, Palotie, A, Pankow, JS, Peden, JF, Pedersen, NL, Pehlic, M, Peltonen, L, Penninx, B, Pericic, M, Perola, M, Perusse, L, Peyser, PA, Polasek, O, Pramstaller, PP, Province, MA, Raikkonen, K, Rauramaa, R, Rehnberg, E, Rice, K, Rotter, JI, Rudan, I, Ruokonen, A, Saaristo, T, Sabater-Lleal, M, Salomaa, V, Savage, DB, Saxena, R, Schwarz, P, Seedorf, U, Sennblad, B, Serrano-Rios, M, Shuldiner, AR, Sijbrands, E.J.G., Siscovick, DS, Smit, JH, Small, KS, Smith, NL, Smith, AV, Stancakova, A, Stirrups, K, Stumvoll, M, Sun, YV, Swift, AJ, Toenjes, A, Tuomilehto, J, Trompet, S, Uitterlinden, André, Uusitupa, M, Vikstrom, M, Vitart, V, Vohl, MC, Voight, BF, Vollenweider, P, Waeber, G, Waterworth, DM, Watkins, H, Wheeler, E, Widen, E, Wild, SH, Willems, SM, Willemsen, G, Wilson, JF, Witteman, JCM, Wright, AF, Yaghootkar, H, Zelenika, D, Zemunik, T, Zgaga, L, Wareham, NJ, McCarthy, MI, Barroso, I, Watanabe, RM, Florez, JC, Dupuis, J, Meigs, JB, and Langenberg, C
- Abstract
Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and beta-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin resistance. We hypothesized that genes implicated in insulin resistance pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associations with fasting insulin and glucose on a genome-wide scale. We present six previously unknown loci associated with fasting insulin at P < 5 x 10(-8) in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals. Risk variants were associated with higher triglyceride and lower high-density lipoprotein (HDL) cholesterol levels, suggesting a role for these loci in insulin resistance pathways. The discovery of these loci will aid further characterization of the role of insulin resistance in T2D pathophysiology.
- Published
- 2012
6. Interactions of dietary whole-grain intake with fasting glucose- and insulin-related genetic loci in individuals of European descent: a meta-analysis of 14 cohort studies
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Nettleton, J.A., McKeown, N.M., Kanoni, S., Lemaitre, R.N., Hivert, M.F., Ngwa, J., van Rooij, F.J., Sonestedt, E., Wojczynski, M.K., Ye, Z., Tanaka, T., Garcia, M., Anderson, J.S., Follis, J.L., Djousse, L., Mukamal, K., Papoutsakis, C., Mozaffarian, D., Zillikens, M.C., Bandinelli, S., Bennett, A.J., Borecki, I.B., Feitosa, M.F., Ferrucci, L., Forouhi, N.G., Groves, C.J., Hallmans, G., Harris, T., Hofman, A., Houston, D.K., Hu, F.B., Johansson, I., Kritchevsky, S.B., Langenberg, C., Launer, L., Liu, Y., Loos, R.J., Nalls, M., Orho-Melander, M., Renstrom, F., Rice, K., Riserus, U., Rolandsson, O., Rotter, J.I., Saylor, G., Sijbrands, E.J., Sjogren, P., Smith, A., Steingrímsdóttir, L., Uitterlinden, A.G., Wareham, N.J., Prokopenko, I., Pankow, J.S., van Duijn, C.M., Florez, J.C., Witteman, J.C., Dupuis, J., Dedoussis, G.V., Ordovas, J.M., Ingelsson, E., Cupples, L., Siscovick, D.S., Franks, P.W., Meigs, J.B., MAGIC Investigators, Dupuis, J., Claudia, L., Prokopenko, I., Saxena, R., Soranzo, N., Jackson, A.U., Wheeler, E., Glazer, N.L., Bouatia-Naji, N., Lindgren, C.M., Mägi, R., Morris, A.P., Randal, J., Rybin, D., Johnson, T., Henneman, P., Gieger, C., Thorleifsson, G., Steinthorsdottir, V., Dehghan, A., Hottenga, J.J., Franklin, C.S., Navarro, P., Song, K., Goe, A., Perry, J.R., Lajunen, T., Grallert, H., Li, M., Stringham, H.M., Kumari, M., Timpson, N.J., Shrader, P., Ingelsson, E., Zabena, C., O'Connell, J., Cavalcanti-Proença, C., Luan, J., Elliott, A., McCarroll, S.A., Payne, F., Roccasecca, R.M., Sethupathy, P., Andrew, T., Ariyurek, Y., Balkau, B., Barter, P., Bennett, A.J., Ben-Shlomo, Y., Bergmann, S., Bochud, M., Boerwinkle, E., Bonnefond, A., Bonnycastle, L.L., Böttcher, Y., Brunner, E., Bumpstead, S.J., Chen, Y.D., Chines, P., Clarke, R., Coin, L.J., Crawford, G.J., Crisponi, L., Day, I.N., Geus, Ed, Dina, C., Doney, A., Egan, J.M., Elliott, P., Erdos, M.R., Fischer-Rosinsky, A., Forouhi, N.G., Fox, C.S., Frants, R., Franzosi, M.G., Galan, P., Goodarzi, M.O., Graessler, J., Groves, C.J., Grundy, S., Gwilliam, R., Hallmans, G., Hammond, N., Han, X., Hartikainen, A.L., Hayward, C., Heath, S.C., Hercberg, S., Herder, C., Hicks, A.A., Hingorani, A.D., Hofman, A., Isomaa, B., Jula, A., Kaakinen, M., Kanoni, S., Kesaniemi, Y.A., Kivimaki, M., Knight, B., Koskinen, S., Kovacs, P., Lathrop, G.M., Lawlor, D.A., Li, Y., Lyssenko, V., Mahley, R., Mangino, M., Manning, A.K., Martínez-Larrad, M.T., McAteer, J.B., McPherson, R., Meisinger, C., Melzer, D., Meyre, D., Mitchell, B.D., Morken, M.A., Naitza, S., Narisu, N., Neville, M.J., Oostra, B.A., Orrù, M., Pakyz, R., Palmer, C.N., Paolisso, G., Pattaro, C., Pearson, D., Peden, J.F., Perola, M., Pfeiffer, A.F., Pichler, I., Polasek, O., Posthuma, D., Potter, S.C., Pouta, A., Psaty, B.M., Rathmann, W., Rayner, N.W., Rice, K., Ripatti, S., Rivadeneira, F., Rolandsson, O., Sandhu, M., Sanna, S., Sayer, A.A., Scheet, P., Scott, L.J., Seedorf, U., Sharp, S.J., Shields, B., Sijbrands, E.J., Silveira, A., Singleton, A., Smith, N.L., Sovio, U., Swift, A., Syddall, H., Syvänen, A.C., Tanaka, T., Tönjes, A., Tuomi, T., Uitterlinden, A.G., van Dijk, K.W., Varma, D., Visvikis-Siest, S., Vitart, V., Vogelzangs, N., Waeber, G., Wagner, P.J., Watkins, H., Weedon, M.N., Wild, S.H., Willemsen, G., Witteman, J.C., Yarnell, J.W., Zelenika, D., Zethelius, B., Zhai, G., Zhao, J.H., Zillikens, M.C., GIANT Consortium, X., Global BPgen Consortium, X., Loos, R.J., Meneton, P., Nathan, D.M., Williams, G.H., Hattersley, A.T., Silander, K., Salomaa, V., Smith, G.D., Bornstein, S.R., Schwarz, P., Spranger, J., Karpe, F., Shuldiner, A.R., Cooper, C., Dedoussis, G.V., Serrano-Ríos, M., Morris, A.D., Lind, L., Franks, P.W., Ebrahim, S., Marmot, M., Kuusisto, J., Laakso, M., Kao, W.H., Pankow, J.S., Pramstaller, P.P., Wichmann, H.E., Illig, T., Rudan, I., Wright, A., Stumvoll, M., Campbell, H., Wilson, J.F., Hamsten, A., Bergman, R.N., Buchanan, T.A., Collins, F.S., Mohlke, K.L., Tuomilehto, J., Valle, T.T., Altshuler, D., Rotter, J.I., Siscovick, D.S., Penninx, B.W., Boomsma, D., Deloukas, P., Spector, T.D., Frayling, T.M., Ferrucci, L., Kong, A., Thorsteinsdottir, U., Stefansson, K., van Duijn, C.M., Aulchenko, Y.S., Cao, A., Scuteri, A., Schlessinger, D., Uda, M., Ruokonen, A., Jarvelin, M.R., Waterworth, D.M., Vollenweider, P., Peltonen, L., Mooser, V., Abecasis, G.R., Wareham, N.J., Sladek, R., Froguel, P., Watanabe, R.M., Meigs, J.B., Groop, L., Boehnke, M., McCarthy, M.I., Florez, J.C., and Barroso, I.
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Adult ,Blood Glucose ,Male ,Genotype ,Reviews/Commentaries/ADA Statements ,Fasting ,Middle Aged ,Polymorphism, Single Nucleotide ,White People ,Genetic Loci ,Humans ,Insulin ,Female ,Aged ,Blood Glucose/genetics ,Blood Glucose/metabolism ,Edible Grain ,European Continental Ancestry Group ,Fasting/blood ,Genetic Loci/genetics ,Genome-Wide Association Study ,Insulin/blood ,Insulin/genetics ,Polymorphism, Single Nucleotide/genetics ,Meta-Analysis - Abstract
OBJECTIVE Whole-grain foods are touted for multiple health benefits, including enhancing insulin sensitivity and reducing type 2 diabetes risk. Recent genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) associated with fasting glucose and insulin concentrations in individuals free of diabetes. We tested the hypothesis that whole-grain food intake and genetic variation interact to influence concentrations of fasting glucose and insulin. RESEARCH DESIGN AND METHODS Via meta-analysis of data from 14 cohorts comprising ∼48,000 participants of European descent, we studied interactions of whole-grain intake with loci previously associated in GWAS with fasting glucose (16 loci) and/or insulin (2 loci) concentrations. For tests of interaction, we considered a P value
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- 2010
7. Interferon epsilon is produced in the testis and protects the male reproductive tract against virus infection, inflammation and damage.
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Wijayarathna R, de Geus ED, Genovese R, Gearing LJ, Wray-McCann G, Sreenivasan R, Hasan H, Fijak M, Stanton P, Fietz D, Pilatz A, Schuppe HC, Tate MD, Hertzog PJ, and Hedger MP
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- Male, Animals, Mice, Humans, Zika Virus, Mice, Knockout, Mice, Inbred C57BL, Interferon Type I metabolism, Genitalia, Male virology, Genitalia, Male metabolism, Genitalia, Male pathology, Testis virology, Testis metabolism, Testis pathology, Zika Virus Infection immunology, Zika Virus Infection virology, Inflammation metabolism
- Abstract
The testis is a reservoir for viruses that can cause persistent infection and adversely affect male reproductive health, an observation commonly attributed to deficiencies in inducible antiviral defence mechanisms. In this study, we demonstrate that interferon-epsilon (IFNε), a type I interferon initially discovered in female reproductive epithelia, is constitutively expressed by meiotic and post-meiotic spermatogenic cells, Leydig cells and macrophages in mouse testes. A similar distribution pattern was observed in human testes. Mice lacking IFNɛ were more susceptible to Zika virus-induced inflammation and damage of the testis and epididymis compared to wild-type mice. Exogenous IFNε treatment reduced the viral infection burden in cultured human testicular cells by inducing interferon-stimulated gene expression, and reducing inflammatory gene expression and cell damage. Treatment was more effective when administered prior to infection. These data indicate a critical role for constitutively-expressed IFNɛ in limiting viral infection and inflammatory damage in the male reproductive tract., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Wijayarathna 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.)
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- 2024
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8. A STAT3-STING-IFN axis controls the metastatic spread of small cell lung cancer.
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Guanizo AC, Luong Q, Jayasekara WSN, de Geus ED, Inampudi C, Xue VS, Chen J, de Weerd NA, Matthews AY, Gantier MP, Balic JJ, Arulananda S, Garama DJ, Hertzog PJ, Ganju V, Watkins DN, Cain JE, and Gough DJ
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- Animals, Mice, Humans, Interferon Type I metabolism, Neoplasm Metastasis, Cell Line, Tumor, Mice, Knockout, Mice, Inbred C57BL, Immunity, Innate, Tumor Escape, Lung Neoplasms secondary, Lung Neoplasms immunology, Lung Neoplasms genetics, Lung Neoplasms pathology, STAT3 Transcription Factor metabolism, STAT3 Transcription Factor genetics, Small Cell Lung Carcinoma genetics, Small Cell Lung Carcinoma pathology, Small Cell Lung Carcinoma immunology, Small Cell Lung Carcinoma metabolism, Signal Transduction, Membrane Proteins metabolism, Membrane Proteins genetics
- Abstract
Small cell lung cancer (SCLC) is an aggressive neuroendocrine tumor characterized by a high metastatic potential with an overall survival rate of ~5%. The transcription factor signal transducer and activator of transcription 3 (STAT3) is overexpressed by >50% of tumors, including SCLC, but its role in SCLC development and metastasis is unclear. Here, we show that, while STAT3 deletion restricts primary tumor growth, it paradoxically enhances metastatic spread by promoting immune evasion. This occurs because STAT3 is crucial for maintaining the immune sensor stimulator of interferon (IFN) genes (STING). Without STAT3, the cyclic adenosine monophosphate-guanosine monophosphate synthase-STING pathway is inactive, resulting in decreased type I IFN secretion and an IFN gene signature. Importantly, restoration of IFN signaling through re-expression of endogenous STING, enforced expression of IFN response factor 7 or administration of recombinant type I IFN re-established antitumor immunity, inhibiting metastatic SCLC in vivo. These data show the potential of augmenting the innate immune response to block metastatic SCLC., Competing Interests: Competing interests: The authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)
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- 2024
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9. Interferon-epsilon is a novel regulator of NK cell responses in the uterus.
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Mayall JR, Horvat JC, Mangan NE, Chevalier A, McCarthy H, Hampsey D, Donovan C, Brown AC, Matthews AY, de Weerd NA, de Geus ED, Starkey MR, Kim RY, Daly K, Goggins BJ, Keely S, Maltby S, Baldwin R, Foster PS, Boyle MJ, Tanwar PS, Huntington ND, Hertzog PJ, and Hansbro PM
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- Female, Humans, Fetus, Interferons, Killer Cells, Natural, Uterus
- Abstract
The uterus is a unique mucosal site where immune responses are balanced to be permissive of a fetus, yet protective against infections. Regulation of natural killer (NK) cell responses in the uterus during infection is critical, yet no studies have identified uterine-specific factors that control NK cell responses in this immune-privileged site. We show that the constitutive expression of IFNε in the uterus plays a crucial role in promoting the accumulation, activation, and IFNγ production of NK cells in uterine tissue during Chlamydia infection. Uterine epithelial IFNε primes NK cell responses indirectly by increasing IL-15 production by local immune cells and directly by promoting the accumulation of a pre-pro-like NK cell progenitor population and activation of NK cells in the uterus. These findings demonstrate the unique features of this uterine-specific type I IFN and the mechanisms that underpin its major role in orchestrating innate immune cell protection against uterine infection., (© 2024. Crown.)
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- 2024
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10. Expression of Interferon Epsilon in Mucosal Epithelium is Regulated by Elf3.
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Fung KY, de Geus ED, Ying L, Cumming H, Bourke N, Foster SC, and Hertzog PJ
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- Animals, Female, Mice, Humans, Gene Expression Regulation, Uterus metabolism, Uterus immunology, Mucous Membrane metabolism, Mucous Membrane immunology, Binding Sites, Interferon Type I metabolism, Mice, Inbred C57BL, Epithelium metabolism, Proto-Oncogene Proteins c-ets metabolism, Proto-Oncogene Proteins c-ets genetics, Lung metabolism, Lung immunology, Intestinal Mucosa metabolism, Intestinal Mucosa immunology, Transcription Factors metabolism, Transcription Factors genetics, Promoter Regions, Genetic genetics, DNA-Binding Proteins metabolism, DNA-Binding Proteins genetics
- Abstract
Interferon epsilon (IFNε) is a unique type I interferon (IFN) that shows distinct constitutive expression in reproductive tract epithelium. Understanding how IFNε expression is regulated is critical for the mechanism of action in protecting the mucosa from infection. Combined computational and experimental investigation of the promoter of IFNε predicted transcription factor binding sites for the ETS family of transcription factors. We demonstrate here that Ifnε is regulated by Elf3, an epithelial restricted member of the ETS family. It is co-expressed with IFNε at the epithelium of uterus, lung and intestine, and we focused on regulation of IFNε expression in the uterus. Promoter reporter studies demonstrated that Elf3 was a strong driver of Ifnε expression; knockdown of Elf3 reduced expression levels of IFNε; Elf3 regulated Ifnε expression and chromatin immunoprecipitation (ChIP) confirmed the direct binding of Elf3 to the IFNε promoter. These data show that Elf3 is important in regulating protective mucosal immunity by driving constitutive expression of IFNε to protect mucosal tissues from infection in at least three organ systems.
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- 2024
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11. Epithelially Restricted Interferon Epsilon Protects Against Colitis.
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de Geus ED, Volaric JS, Matthews AY, Mangan NE, Chang J, Ooi JD, de Weerd NA, Giles EM, and Hertzog PJ
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- Humans, Mice, Female, Animals, Intestinal Mucosa metabolism, Inflammation metabolism, Signal Transduction, Interferons metabolism, Colitis metabolism
- Abstract
Background & Aims: Type I interferon (T1IFN) signalling is crucial for maintaining intestinal homeostasis. We previously found that the novel T1IFN, IFNε, is highly expressed by epithelial cells of the female reproductive tract, where it protects against pathogens. Its function has not been studied in the intestine. We hypothesize that IFNε is important in maintaining intestinal homeostasis., Methods: We characterized IFNε expression in mouse and human intestine by immunostaining and studied its function in the dextran sulfate sodium (DSS) colitis model using both genetic knockouts and neutralizing antibody., Results: We demonstrate that IFNε is expressed in human and mouse intestinal epithelium, and expression is lost in inflammation. Furthermore, we show that IFNε limits intestinal inflammation in mouse models. Regulatory T cell (Treg) frequencies were paradoxically decreased in DSS-treated IFNε-/- mice, suggesting a role for IFNε in maintaining the intestinal Treg compartment. Colitis was ameliorated by transfer of wild-type Tregs into IFNε-/- mice. This demonstrates that IFNε supports intestinal Treg function., Conclusions: Overall, we have shown IFNε expression in intestinal epithelium and its critical role in gut homeostasis. Given its known role in the female reproductive tract, we now show IFNε has a protective role across multiple mucosal surfaces., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2024
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12. Distribution patterns of mucosally applied particles and characterization of the antigen presenting cells.
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de Geus ED, Degen WG, van Haarlem DA, Schrier C, Broere F, and Vervelde L
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- Air Sacs metabolism, Animals, Conjunctiva metabolism, Esophagus metabolism, Flow Cytometry, Fluorescence, Harderian Gland metabolism, Lung metabolism, Microspheres, Statistics, Nonparametric, Trachea metabolism, Antigen-Presenting Cells metabolism, Chickens immunology, Immunity, Mucosal physiology, Lymphoid Tissue metabolism, Newcastle Disease prevention & control, Newcastle disease virus genetics, Viral Vaccines pharmacokinetics
- Abstract
Mucosal application is the most common route of vaccination to prevent outbreaks of infectious diseases like Newcastle disease virus (NDV). To gain more knowledge about distribution and uptake of a vaccine after mucosal vaccination, we studied the distribution pattern of antigens after different mucosal routes of administration. Chickens were intranasally (i.n.), intratracheally (i.t.) or intraocularly (i.o.) inoculated with fluorescent beads and presence of beads in nasal-associated lymphoid tissue (NALT), Harderian gland (HG), conjunctiva-associated lymphoid tissue (CALT), trachea, lungs, air sacs, oesophagus and blood was characterized. The distribution patterns differed significantly between the three inoculation routes. After i.t. inoculation, the beads were mainly retrieved from trachea, NALT and lung. I.n. inoculation resulted in beads found mainly in NALT but detectable in all organs sampled. Finally, after i.o. inoculation, the beads were detected in NALT, CALT, HG and trachea. The highest number of beads was retrieved after i.n. inoculation. Development of novel vaccines requires a comprehensive knowledge of the mucosal immune system in birds in order to target vaccines appropriately and to provide efficient adjuvants. The NALT is likely important for the induction of mucosal immune responses. We therefore studied the phenotype of antigen-presenting cells isolated from NALT after i.n. inoculation with uncoated beads or with NDV-coated beads. Both types of beads were efficiently taken up and low numbers of bead+ cells were detected in all organs sampled. Inoculation with NDV-coated beads resulted in a preferential uptake by NALT antigen-presenting cells as indicated by high percentages of KUL01+-, MHC II+ and CD40+ bead+ cells.
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- 2015
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13. Glycans from avian influenza virus are recognized by chicken dendritic cells and are targets for the humoral immune response in chicken.
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de Geus ED, Tefsen B, van Haarlem DA, van Eden W, van Die I, and Vervelde L
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- Adaptive Immunity genetics, Adaptive Immunity immunology, Amino Acid Sequence, Animals, Cells, Cultured, Chick Embryo, Chickens, Dendritic Cells metabolism, Dendritic Cells virology, Disaccharides immunology, Disaccharides metabolism, Enzyme-Linked Immunosorbent Assay, Epitopes immunology, Epitopes metabolism, Flow Cytometry, Gene Expression immunology, Host-Pathogen Interactions immunology, Influenza A virus metabolism, Influenza A virus physiology, Influenza in Birds virology, Lectins, C-Type genetics, Lectins, C-Type immunology, Lectins, C-Type metabolism, Mannose Receptor, Mannose-Binding Lectins genetics, Mannose-Binding Lectins immunology, Mannose-Binding Lectins metabolism, Molecular Sequence Data, Polysaccharides metabolism, Receptors, Cell Surface genetics, Receptors, Cell Surface immunology, Receptors, Cell Surface metabolism, Reverse Transcriptase Polymerase Chain Reaction, Sequence Homology, Amino Acid, Trisaccharides immunology, Trisaccharides metabolism, Dendritic Cells immunology, Immunity, Humoral immunology, Influenza A virus immunology, Influenza in Birds immunology, Polysaccharides immunology
- Abstract
To increase our understanding of the interaction between avian influenza virus and its chicken host, we identified receptors for putative avian influenza virus (AIV) glycan determinants on chicken dendritic cells. Chicken dendritic cells (DCs) were found to recognize glycan determinants containing terminal αGalNAc, Galα1-3Gal, GlcNAcβ1-4GlcNAcβ1-4GlcNAcβ (chitotriose) and Galα1-2Gal. Infection of chicken dendritic cells with either low pathogenic (LP) or highly pathogenic (HP) AIV results in elevated mRNA expression of homologs of the mouse C-type lectins DEC205 and macrophage mannose receptor (MMR), whereas expression levels of the human dendritic cell-specific intercellular adhesion molecule-3-grabbing non-integrin (DC-SIGN) homolog remained unchanged. Following uptake and subsequent presentation of avian influenza virus by DCs, adaptive immunity, including humoral immune responses are induced. We have investigated the antibody responses against virus glycan epitopes after avian influenza virus infection. Using glycan micro-array analysis we showed that chicken contained antibodies that predominantly recognize terminal Galα1-3Gal-R, chitotriose and Fucα1-2Galβ1-4GlcNAc-R (H-type 2). After influenza-infection, glycan array analysis showed that both levels and repertoire of glycan-recognizing antibodies decreased. However, analysis of the sera by ELISA indicated that the levels of different isotypes of anti-glycan Abs against specific glycan antigens was increased after influenza-infection, suggesting that the presentation of the glycan antigens and iso-type of the Abs are critical parameters to take into account when measuring anti-glycan Abs. This novel approach in avian influenza research may contribute to the development of a broad spectrum vaccine and improves our mechanistic understanding of innate and adaptive responses to glycans., (Copyright © 2013 Elsevier Ltd. All rights reserved.)
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- 2013
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14. Regulation of macrophage and dendritic cell function by pathogens and through immunomodulation in the avian mucosa.
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de Geus ED and Vervelde L
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- Animals, Coccidiosis immunology, Coccidiosis prevention & control, Dendritic Cells microbiology, Dendritic Cells parasitology, Dendritic Cells virology, Dietary Supplements statistics & numerical data, Escherichia coli Infections immunology, Escherichia coli Infections prevention & control, Gastrointestinal Tract microbiology, Gastrointestinal Tract parasitology, Gastrointestinal Tract virology, Immunity, Innate, Immunomodulation, Influenza in Birds immunology, Influenza in Birds prevention & control, Lipopolysaccharide Receptors genetics, Lipopolysaccharide Receptors immunology, Macrophages microbiology, Macrophages parasitology, Macrophages virology, Respiratory System microbiology, Respiratory System parasitology, Respiratory System virology, Sialic Acid Binding Immunoglobulin-like Lectins genetics, Sialic Acid Binding Immunoglobulin-like Lectins immunology, Vaccination statistics & numerical data, Chickens immunology, Dendritic Cells immunology, Gastrointestinal Tract immunology, Macrophages immunology, Respiratory System immunology
- Abstract
Macrophages (MPh) and dendritic cells (DC) are members of the mononuclear phagocyte system. In chickens, markers to distinguish MPh from DC are lacking, but whether MPh and DC can be distinguished in humans and mice is under debate, despite the availability of numerous markers. Mucosal MPh and DC are strategically located to ingest foreign antigens, suggesting they can rapidly respond to invading pathogens. This review addresses our current understanding of DC and MPh function, the receptors expressed by MPh and DC involved in pathogen recognition, and the responses of DC and MPh against respiratory and intestinal pathogens in the chicken. Furthermore, potential opportunities are described to modulate MPh and DC responses to enhance disease resistance, highlighting modulation through nutraceuticals and vaccination., (Copyright © 2013 Elsevier Ltd. All rights reserved.)
- Published
- 2013
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15. Systemic distribution of different low pathogenic avian influenza (LPAI) viruses in chicken.
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Post J, de Geus ED, Vervelde L, Cornelissen JB, and Rebel JM
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- Animals, Brain virology, Chickens, Influenza A Virus, H5N1 Subtype classification, Influenza A Virus, H5N1 Subtype genetics, Influenza A Virus, H5N1 Subtype isolation & purification, Influenza A Virus, H5N1 Subtype pathogenicity, Influenza A Virus, H5N2 Subtype classification, Influenza A Virus, H5N2 Subtype genetics, Influenza A Virus, H5N2 Subtype isolation & purification, Influenza A Virus, H5N2 Subtype pathogenicity, Influenza A Virus, H7N1 Subtype classification, Influenza A Virus, H7N1 Subtype genetics, Influenza A Virus, H7N1 Subtype isolation & purification, Influenza A Virus, H7N1 Subtype pathogenicity, Influenza A Virus, H9N2 Subtype classification, Influenza A Virus, H9N2 Subtype genetics, Influenza A Virus, H9N2 Subtype isolation & purification, Influenza A Virus, H9N2 Subtype pathogenicity, Influenza A virus classification, Influenza A virus genetics, Influenza A virus pathogenicity, Intestines virology, Lung virology, Influenza A virus isolation & purification, Influenza in Birds virology
- Abstract
Background: Since we were able to isolate viable virus from brain and lung of H7N1 low pathogenic avian influenza virus (LPAIV) infected chickens, we here examined the distribution of different LPAIV strains in chickens by measuring the viral AI RNA load in multiple organs. Subtypes of H5 (H5N1, H5N2), H7 (H7N1, H7N7) and H9 (H9N2), of chicken (H5N2, H7N1, H7N7, H9N2), or mallard (H5N1) origin were tested. The actual presence of viable virus was evaluated with virus isolation in organs of H7N7 inoculated chickens., Findings: Viral RNA was found by PCR in lung, brain, intestine, peripheral blood mononuclear cells, heart, liver, kidney and spleen from chickens infected with chicken isolated LPAIV H5N2, H7N1, H7N7 or H9N2. H7N7 virus could be isolated from lung, ileum, heart, liver, kidney and spleen, but not from brain, which was in agreement with the data from the PCR. Infection with mallard isolated H5N1 LPAIV resulted in viral RNA detection in lung and peripheral blood mononuclear cells only., Conclusion: We speculate that chicken isolated LPAI viruses are spreading systemically in chicken, independently of the strain.
- Published
- 2013
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16. Differential lung NK cell responses in avian influenza virus infected chickens correlate with pathogenicity.
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Jansen CA, de Geus ED, van Haarlem DA, van de Haar PM, Löndt BZ, Graham SP, Göbel TW, van Eden W, Brookes SM, and Vervelde L
- Subjects
- Animals, Influenza in Birds pathology, Chickens immunology, Chickens virology, Influenza in Birds immunology, Influenza in Birds virology, Killer Cells, Natural immunology, Killer Cells, Natural virology, Orthomyxoviridae pathogenicity
- Abstract
Infection of chickens with low pathogenicity avian influenza (LPAI) virus results in mild clinical signs while infection with highly pathogenic avian influenza (HPAI) viruses causes death of the birds within 36-48 hours. Since natural killer (NK) cells have been shown to play an important role in influenza-specific immunity, we hypothesise that NK cells are involved in this difference in pathogenicity. To investigate this, the role of chicken NK-cells in LPAI virus infection was studied. Next activation of lung NK cells upon HPAI virus infection was analysed. Infection with a H9N2 LPAI virus resulted in the presence of viral RNA in the lungs which coincided with enhanced activation of lung NK cells. The presence of H5N1 viruses, measured by detection of viral RNA, did not induce activation of lung NK cells. This suggests that decreased NK-cell activation may be one of the mechanisms associated with the enhanced pathogenicity of H5N1 viruses.
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- 2013
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17. Induction of respiratory immune responses in the chicken; implications for development of mucosal avian influenza virus vaccines.
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de Geus ED, Rebel JM, and Vervelde L
- Subjects
- Administration, Mucosal, Animals, Influenza Vaccines administration & dosage, Influenza in Birds immunology, Poultry Diseases immunology, Vaccination veterinary, Vaccines, Inactivated administration & dosage, Chickens, Influenza A virus immunology, Influenza Vaccines immunology, Influenza in Birds prevention & control, Poultry Diseases prevention & control, Vaccines, Inactivated immunology
- Abstract
The risk and the size of an outbreak of avian influenza virus (AIV) could be restricted by vaccination of poultry. A vaccine used for rapid intervention during an AIV outbreak should be safe, highly effective after a single administration and suitable for mass application. In the case of AIV, aerosol vaccination using live virus is not desirable because of its zoonotic potential and because of the risk for virus reassortment. The rational design of novel mucosal-inactivated vaccines against AIV requires a comprehensive knowledge of the structure and function of the lung-associated immune system in birds in order to target vaccines appropriately and to design efficient mucosal adjuvants. This review addresses our current understanding of the induction of respiratory immune responses in the chicken. Furthermore, possible mucosal vaccination strategies for AIV are highlighted.
- Published
- 2012
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18. Uptake of particulate antigens in a nonmammalian lung: phenotypic and functional characterization of avian respiratory phagocytes using bacterial or viral antigens.
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de Geus ED, Jansen CA, and Vervelde L
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- Animals, Antigens, Differentiation immunology, Antigens, Viral pharmacology, Chickens, Histocompatibility Antigens Class II immunology, Lipopolysaccharides pharmacology, Lung immunology, Antigens, Viral immunology, Dendritic Cells immunology, Influenza A virus immunology, Influenza in Birds immunology, Macrophages, Alveolar immunology, Particulate Matter pharmacology, Respiratory Mucosa immunology
- Abstract
Major distinctive features of avian lungs are the absence of draining lymph nodes and alveoli and alveolar macrophages (MPhs). However, a large network of MPhs and dendritic cells (DCs) is present in the mucosa of the larger airways and in the linings of the parabronchi. For the modulation of respiratory tract immune responses, for example, by vaccination, a better understanding of Ag uptake in the chicken respiratory tract is needed. In this study, we provide detailed characterization of APCs in chicken lungs, including their functional in vivo activities as measured by the uptake of fluorescently labeled 1-μm beads that are coated with either LPS or inactivated avian influenza A virus (IAV) mimicking the uptake of bacterial or viral Ag. We identified different subsets of MPhs and DCs in chicken lungs, based on the expression of CD11, activation markers, and DEC205. In vivo uptake of LPS- and IAV-beads resulted in an increased percentage MHC class II(+) (MHC II(+)) cells and in the upregulation of CD40. The uptake of LPS-beads resulted in the upregulation of CD80 and MHC II on the cell surface, suggesting either uptake of LPS- and IAV-beads by different subsets of phagocytic cells or LPS-mediated differential activation. Differences in phagosomal acidification indicated that in chicken lungs the MHC II(+) and CD80(+) bead(+) cell population includes DCs and that a large proportion of beads was taken up by MPhs. LPS-bead(+) cells were present in BALT, suggesting local induction of immune responses. Collectively, we characterized the uptake of Ags by phagocytes in the respiratory tract of chickens.
- Published
- 2012
- Full Text
- View/download PDF
19. Kinetics of the avian influenza-specific humoral responses in lung are indicative of local antibody production.
- Author
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de Geus ED, Rebel JM, and Vervelde L
- Subjects
- Animals, Antibody-Producing Cells virology, Chickens virology, Enzyme-Linked Immunosorbent Assay veterinary, Immunoglobulins biosynthesis, Immunoglobulins blood, Influenza in Birds blood, Kinetics, Lung cytology, Lung immunology, Lung virology, Specific Pathogen-Free Organisms, Spleen cytology, Spleen immunology, Spleen virology, Statistics, Nonparametric, Antibody-Producing Cells immunology, Chickens immunology, Immunity, Humoral immunology, Immunoglobulins immunology, Influenza A Virus, H7N1 Subtype immunology, Influenza in Birds immunology
- Abstract
The role and kinetics of respiratory immunoglobulins in AIV infection has not been investigated. In this study we determined the numbers of both total antibody secreting cells (ASC) and virus-specific ASC in lung, spleen, blood and bone marrow (BM) following low-pathogenic AIV infection. Antiviral humoral immune responses were induced both locally in the lung and systemically in the spleen. Responses in the lung and BM preceded responses in the spleen and in blood, with virus-specific IgY ASC already detected in lung and BM from 1 week post-primary inoculation, indicating that respiratory immune responses are not induced in the spleen, but locally in the lung. ASC present in the blood of the lungs and co-isolated during lymphocyte isolation from the lungs have no major impact on the ASC detected in the lungs based on statistical correlation., (Copyright © 2011 Elsevier Ltd. All rights reserved.)
- Published
- 2012
- Full Text
- View/download PDF
20. A lack of antibody formation against inactivated influenza virus after aerosol vaccination in presence or absence of adjuvantia.
- Author
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de Geus ED, van Haarlem DA, Poetri ON, de Wit JJ, and Vervelde L
- Subjects
- Adjuvants, Immunologic administration & dosage, Aerosols, Aluminum Hydroxide administration & dosage, Animals, Antibodies, Viral biosynthesis, Antibodies, Viral blood, Chickens, Chitosan administration & dosage, Cholera Toxin administration & dosage, Female, Influenza A Virus, H9N2 Subtype immunology, Male, Respiratory System immunology, Vaccines, Inactivated administration & dosage, Influenza Vaccines administration & dosage, Influenza in Birds immunology, Influenza in Birds prevention & control
- Abstract
In the poultry industry, infections with avian influenza virus (AIV) can result in significant economic losses. The risk and the size of an outbreak might be restricted by vaccination of poultry. A vaccine that would be used for rapid intervention during an outbreak should be safe to use, highly effective after a single administration and be suitable for mass application. A vaccine that could be applied by spray or aerosol would be suitable for mass application, but respiratory applied inactivated influenza is poorly immunogenic and needs to be adjuvanted. We chose aluminum OH, chitosan, cholera toxin B subunit (CT-B), and Stimune as adjuvant for an aerosolized vaccine with inactivated H9N2. Each adjuvant was tested in two doses. None of the adjuvanted vaccines induced AIV-specific antibodies after single vaccination, measured 1 and 3 weeks after vaccination by aerosol, in contrast to the intramuscularly applied vaccine. The aerosolized vaccine did enter the chickens' respiratory tract as CT-B-specific serum antibodies were detected after 1 week in chickens vaccinated with the CT-B-adjuvanted vaccine. Chickens showed no adverse effects after the aerosol vaccination based on weight gain and clinical signs. The failure to detect AIV-specific antibodies might be due to the concentration of the inactivated virus., (Copyright © 2011 Elsevier B.V. All rights reserved.)
- Published
- 2011
- Full Text
- View/download PDF
21. Differential expression of adenosine A3 receptors controls adenosine A2A receptor-mediated inhibition of TLR responses in microglia.
- Author
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van der Putten C, Zuiderwijk-Sick EA, van Straalen L, de Geus ED, Boven LA, Kondova I, IJzerman AP, and Bajramovic JJ
- Subjects
- Animals, Cells, Cultured, Gene Expression Regulation, Interleukin-12 biosynthesis, Interleukin-12 immunology, Lipopolysaccharides pharmacology, Macaca mulatta, Microglia drug effects, Microglia immunology, NF-kappa B metabolism, Receptor, Adenosine A2A genetics, Receptor, Adenosine A3 genetics, Signal Transduction, Time Factors, Tumor Necrosis Factor-alpha biosynthesis, Tumor Necrosis Factor-alpha immunology, Microglia metabolism, Receptor, Adenosine A2A metabolism, Receptor, Adenosine A3 metabolism, Toll-Like Receptors metabolism
- Abstract
Microglia activation is a prominent feature in many neuroinflammatory disorders. Unrestrained activation can generate a chronic inflammatory environment that might lead to neurodegeneration and autoimmunity. Extracellular adenosine modulates cellular activation through adenosine receptor (ADORA)-mediated signaling. There are four ADORA subtypes that can either increase (A(2A) and A(2B) receptors) or decrease (A(1) and A(3) receptors) intracellular cyclic AMP levels. The expression pattern of the subtypes thus orchestrates the cellular response to extracellular adenosine. We have investigated the expression of ADORA subtypes in unstimulated and TLR-activated primary rhesus monkey microglia. Activation induced an up-regulation of A(2A) and a down-regulation of A(3) receptor (A(3)R) levels. The altered ADORA-expression pattern sensitized microglia to A(2A) receptor (A(2A)R)-mediated inhibition of subsequent TLR-induced cytokine responses. By using combinations of subtype-specific agonists and antagonists, we revealed that in unstimulated microglia, A(2A)R-mediated inhibitory signaling was effectively counteracted by A(3)R-mediated signaling. In activated microglia, the decrease in A(3)R-mediated signaling sensitized them to A(2A)R-mediated inhibitory signaling. We report a differential, activation state-specific expression of ADORA in microglia and uncover a role for A(3)R as dynamically regulated suppressors of A(2A)R-mediated inhibition of TLR-induced responses. This would suggest exploration of combinations of A(2A)R agonists and A(3)R antagonists to dampen microglial activation during chronic neuroinflammatory conditions.
- Published
- 2009
- Full Text
- View/download PDF
22. Immunization with mannosylated peptide induces poor T cell effector functions despite enhanced antigen presentation.
- Author
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Kel JM, de Geus ED, van Stipdonk MJ, Drijfhout JW, Koning F, and Nagelkerken L
- Subjects
- Amino Acid Sequence, Animals, Female, Immunization, Lymphocyte Activation, Mice, Mice, Inbred C57BL, Mice, Transgenic, Molecular Sequence Data, Receptors, Antigen, T-Cell genetics, Antigen Presentation, Hypersensitivity, Delayed, Mannose administration & dosage, Mannose chemical synthesis, Mannose chemistry, Mannose immunology, Ovalbumin administration & dosage, Ovalbumin chemical synthesis, Ovalbumin chemistry, Ovalbumin immunology, Peptides administration & dosage, Peptides chemical synthesis, Peptides chemistry, Peptides immunology, Th1 Cells immunology
- Abstract
In this study, we investigated the development of T cell responses in mice after administration of a mannosylated ovalbumin peptide (M-OVA(323-339)). Immunization with M-OVA(323-339) in complete adjuvant resulted in enhanced antigen presentation in draining lymph nodes. Monitoring the fate of CFSE-labeled ovalbumin peptide-specific TCR transgenic CD4(+) T cells revealed that immunization with M-OVA(323-339) induced normal clonal expansion, recirculation and CD62L expression of antigen-specific T cells in vivo. However, these T cells developed only poor effector functions, reflected by minimal IFN-gamma production, low IgG2a levels in serum and poor peptide-specific delayed-type hypersensitivity (DTH) responses. This diminished inflammatory response was associated with decreased infiltration of T cell blasts and macrophages. Importantly, also mice with functional effector T cells did not mount a robust DTH response after a challenge with M-OVA(323-339) in the ear, although their T cells responded normally to M-OVA(323-339) in vitro. In conclusion, mannosylated peptide induces proliferation of T cells with impaired T(h)1 cell effector functions and additionally abrogates the activity of pre-existing effector T cells.
- Published
- 2008
- Full Text
- View/download PDF
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