325 results on '"Knol EF"'
Search Results
2. Aged mice display altered numbers and phenotype of basophils, and bone marrow-derived basophil activation, with a limited role for aging-associated microbiota
- Author
-
Beek, Adriaan, Fransen, F, Meijer, B, Vos, P, Knol, EF, Savelkoul, HFJ, Beek, Adriaan, Fransen, F, Meijer, B, Vos, P, Knol, EF, and Savelkoul, HFJ
- Published
- 2018
3. Abstracts from the Food Allergy and Anaphylaxis Meeting 2016
- Author
-
Pouessel, G, Claverie, C, Labreuche, J, Renaudin, J-M, Dorkenoo, A, Eb, M, Moneret-Vautrin, A, Deschildre, A, Leteurtre, S, Grabenhenrich, L, Worm, M, Dölle, S, Scherer, K, Hutteger, I, Christensen, M, Bindslev-Jensen, C, Mortz, C, Eller, E, Kjaer, HF, Carneiro-Leão, L, Badas, J, Coimbra, A, Levy, DP, Ben-Shoshan, M, Rimon, A, Benor, S, Arends, NJT, Edelbroek, N, de Groot, H, Emons, JAM, Brand, HKA, Verhoeven, D, van Veen, LN, de Jong, NW, Noh, G, Jang, EH, Pascal, M, Dominguez, O, Piquer, M, Alvaro, M, Jimenez-Feijoo, R, Lozano, J, Machinena, A, del Mar Folqué, M, Giner, MT, Plaza, AM, Turner, P, Patel, N, Vazquez-Ortiz, M, Lindsley, S, Walker, L, Rosenberg, S, Mari, A, Alessandri, C, Giangrieco, I, Tuppo, L, Rafaiani, C, Mitterer, G, Ciancamerla, M, Ferrara, R, Bernardi, ML, Zennaro, D, Tamburrini, M, Ciardiello, MA, Harwanegg, C, Fernandez, A, Selb, R, Egenmann, P, Epstein, M, Hoffmann-Sommergruber, K, Koning, F, Lovik, M, Clare Mills, EN, Moreno, J, van Loveren, H, Wal, J-M, Diesner, S, Bergmayr, C, Pfitzner, B, Assmann, VE, Starkl, P, Endesfelder, D, Eiwegger, T, Szepfalusi, Z, Fehrenbach, H, Jensen-Jarolim, E, Hartmann, A, Pali-Schöll, I, Untersmayr, E, Wille, S, Meyer, P, Klingebiel, C, Lidholm, J, Ehrenberg, A, Östling, J, Cleach, I, Mège, J-L, Vitte, J, Aina, R, Dubiela, P, Pfeifer, S, Bublin, M, Radauer, C, Humeniuk, P, Kabasser, S, Asero, R, Bogas, G, Gomez, F, Campo, P, Salas, M, Doña, I, Barrionuevo, E, Guerrero, MA, Mayorga, C, Prieto, A, Barber, D, Torres, MJ, Jamin, A, Wangorsch, A, Ballmer, B, Vieths, S, Scheurer, S, Apostolovic, D, Mihailovic, J, Krstic, M, Starkhammar, M, Velickovic, TC, Hamsten, C, van Hage, M, van Erp, FC, Knol, EF, Kansen, HM, Pontoppidan, B, Meijer, Y, van der Ent, CK, Knulst, AC, Sayers, R, Brown, H, Custovic, A, Simpson, A, Mills, C, Schulz, J, Akkerdaas, J, Totis, M, Capt, A, Herouet-Guicheney, C, van Ree, R, Banerjee, T, Banerjee, A, Claude, M, Bouchaud, G, Lupi, R, Castan, L, Tranquet, O, Denery-Papini, S, Bodinier, M, Brossard, C, De Poi, R, Gritti, E, De Dominicis, E, Popping, B, de Laureto, PP, Palosuo, K, Kukkonen, AK, Pelkonen, A, Mäkelä, M, Lee, NA, Rost, J, Muralidharan, S, Campbell, D, Mehr, S, Nock, C, Baumert, J, Taylor, S, Mastrorilli, C, Tripodi, S, Caffarelli, C, Perna, S, Di Rienzo Businco, A, Sfika, I, Dondi, A, Bianchi, A, Dascola, CP, Ricci, G, Cipriani, F, Maiello, N, del Giudice, MM, Frediani, T, Frediani, S, Macrì, F, Pistoletti, C, Iacono, ID, Patria, MF, Varin, E, Peroni, D, Comberiati, P, Chini, L, Moschese, V, Lucarelli, S, Bernardini, R, Pingitore, G, Pelosi, U, Olcese, R, Moretti, M, Cirisano, A, Faggian, D, Travaglini, A, Plebani, M, Verga, MC, Calvani, M, Giordani, P, Matricardi, PM, Ontiveros, N, Cabrera-Chavez, F, Galand, J, Beaudouin, E, Pineau, F, Sakai, S, Matsunaga, K, Teshima, R, Larré, C, Denery, S, Tschirner, S, Trendelenburg, V, Schulz, G, Niggemann, B, Beyer, K, Bouferkas, Y, Belabbas, Y, Saidi, D, Kheroua, O, Mecherfi, KEE, Guendouz, M, Haddi, A, Kaddouri, H, Amaral, L, Pereira, A, Rodrigues, S, Datema, M, Jongejan, L, Clausen, M, Knulst, A, Papadopoulos, N, Kowalski, M, de Blay, F, Zwinderman, A, Hoffman-Sommergruber, K, Ballmer-Weber, B, Fernandez-Rivas, M, Deng, S, Yin, J, Eisenmann, C, Nassiri, M, Reinert, R, van der Valk, JPM, van Wijk, RG, Vergouwe, Y, Steyerberg, EW, Reitsma, M, Wichers, HJ, Savelkoul, HFJ, Vlieg-Boerstra, B, Dubois, AEJ, Carolino, F, Rodolfo, A, Cernadas, J, Roa-Medellín, D, Rodriguez-Fernandez, A, Navarro, J, Albendiz, V, Baeza, ML, Intente-Herrero, S, Mikkelsen, A, Mehlig, K, Lissner, L, Verrill, L, Luccioli, S, van Bilsen, J, Kuper, F, Wolterbeek, A, Rankouhi, TR, Verschuren, L, Cnossen, H, Jeurink, P, Garssen, J, Knippels, L, Garthoff, J, Houben, G, Leeman, W, Eleonore Pettersson, M, Schins, AMM, Koppelman, GH, Kollen, BJ, Zubchenko, S, Kuntz, S, Mérida, P, Álvaro, M, Riggioni, C, Castellanos, JH, Jimenez, R, Cap, M, Drumez, E, Lejeune, S, Thumerelle, C, Mordacq, C, Nève, V, Ricò, S, Varini, M, Nocerino, R, Cosenza, L, Amoroso, A, Di Costanzo, M, Di Scala, C, Bedogni, G, Canani, RB, Turner, PJ, Poza-Guedes, P, González-Pérez, R, Sánchez-Machín, I, Matheu-Delgado, V, Wambre, E, Ballegaard, A-S, Madsen, C, Gregersen, J, Bøgh, KL, Aubert, P, Neunlist, M, Magnan, A, Lozano-Ojalvo, D, Pablos-Tanarro, A, Pérez-Rodríguez, L, Molina, E, López-Fandiño, R, Rekima, A, Macchiaverni, P, Turfkruyer, M, Holvoet, S, Dupuis, L, Baiz, N, Annesi-Maesano, I, Mercenier, A, Nutten, S, Verhasselt, V, Mrakovcic-Sutic, I, Banac, S, Sutic, I, Baricev-Novakovic, Z, Pavisic, V, Muñoz-Cano, R, Jiménez-Rodríguez, T, Corbacho, D, Roca-Ferrer, J, Bartra, J, Bulog, A, Micovic, V, Markiewicz, L, Szymkiewicz, A, Szyc, A, Wróblewska, B, Harvey, BM, Harthoorn, LF, Wesley Burks, A, Rentzos, G, Björk, A-LB, Bengtsson, U, Barber, C, Kalicinsky, C, Breynaert, C, Coorevits, L, Jansen, C, Van Hoeyveld, E, Verbeke, K, Kochuyt, A-M, Schrijvers, R, Deleanu, D, Muntean, A, Konstantakopoulou, M, Pasioti, M, Papadopoulou, A, Iliopoulou, A, Mikos, N, Kompoti, E, de Castro, ED, Bartalomé, B, Ue, KL, Griffiths, E, Till, S, Grimshaw, K, Roberts, G, Selby, A, Butiene, I, Larco, JI, Dubakiene, R, Fiandor, A, Fiocchi, A, Sigurdardottir, S, Sprikkelman, A, Schoemaker, A-F, Xepapadaki, P, Keil, T, Cojocariu, Z, Barbado, BS, Iancu, V, Arroabarren, E, Esarte, MG, Arteaga, M, Andrade, MC, Borges, D, Kalil, J, Bianchi, PG, Agondi, RC, Gupta, RK, Sharma, A, Gupta, K, Das, M, Dwivedi, P, Karseladze, R, Jorjoliani, L, Saginadze, L, Tskhakaia, M, Basello, K, Piuri, G, Speciani, AF, Speciani, MC, Camerotto, C, Zinno, F, Pakholchuk, O, Nedelska, S, Pattini, S, Costantino, MT, Peveri, S, Villalta, D, Savi, E, Costanzi, A, Revyakina, VA, Kiseleva, MA, Kuvshinova, ED, Larkova, IA, Shekhetov, AA, Silva, D, Moreira, A, Plácido, J, van der Kleij, H, van Twuijver, E, Sutorius, R, de Kam, P-J, van Odijk, J, Lindqvist, H, Lustig, E, Jácome, AAA, Aguilar, KLB, Domínguez, MG, Hernández, DAM, Caruso, C, Casale, C, Rapaccini, GL, Romano, A, De Vitis, I, Cocco, RR, Aranda, C, Mallozi, MC, Motta, JF, Moraes, L, Pastorino, A, Rosario, N, Goudouris, E, Porto, A, Wandalsen, NF, Sarinho, E, Sano, F, Solé, D, Pitsios, C, Petrodimopoulou, M, Papadopoulou, E, Passioti, M, Kontogianni, M, Adamia, N, Khaleva, E, del Prado, AP, Du Toit, G, Krzych, E, Samolinska-Zawisza, U, Furmanczyk, K, Tomaszewska, A, Raciborski, F, Lipiec, A, Samel-Kowalik, P, Walkiewicz, A, Borowicz, J, Samolinski, B, Nano, AL, Recto, M, Somoza, ML, López, NB, Alzate, DP, Ruano, FJ, Garcimartín, MI, Haroun, E, de la Torre, MV, Rojas, A, Onieva, ML, Canto, G, Rodrigues, A, Forno, A, Cabral, AJ, Gonçalves, R, Vorozhko, I, Sentsova, T, Chernyak, O, Denisova, S, Ilènko, L, Muhortnich, V, Zimmermann, C, Rohrbach, A, Bakhsh, FR, Boudewijn, K, Oomkes-Pilon, A-M, Van Ginkle, D, Šilar, M, Jeverica, A, Vesel, T, Avčin, T, Korošec, P, van der Valk, J, Berends, I, Arends, N, van Maaren, M, Wichers, H, Emons, J, Dubois, A, de Jong, N, Matsyura, O, Besh, L, Huang, C-H, Jan, T-R, Stiefel, G, Tratt, J, Kirk, K, Arasi, S, Caminiti, L, Crisafulli, G, Fiamingo, C, Fresta, J, Pajno, G, Remington, B, Kruizinga, A, Marty Blom, W, Westerhout, J, Bijlsma, S, Blankestijn, M, Otten, H, Klemans, R, Michelsen-Huisman, AD, van Os-Medendorp, H, Kruizinga, AG, Versluis, A, van Duijn, G, de Zeeuw-Brouwer, HM-L, Castenmiller, JJM, Noteborn, HPJM, Houben, GF, Bravin, K, Luyt, D, Javed, B, Couch, P, Munro, C, Padfield, P, Sperrin, M, Byrne, A, Oosthuizen, L, Kelleher, C, Ward, F, Brosnan, N, King, G, Corbet, E, Guzmán, JAH, García, MB, Asensio, O, Navarrete, LV, Larramona, H, Miró, XD, Pyrz, K, Austin, M, Boloh, Y, Galloway, D, Hernandez, P, Hourihane, JOB, Kenna, F, Majkowska-Wojciechowska, B, Regent, L, Themisb, M, Schnadt, S, Semic-Jusufagic, A, Galvin, AD, Kauppila, T, Kuitunen, M, Kitsioulis, NA, Douladiris, N, Kostoudi, S, Manolaraki, I, Mitsias, D, Manousakis, E, Papadopoulos, NG, Knibb, R, Hammond, J, Cooke, R, Yrjänä, J, Hanni, A-M, Vähäsarja, P, Mustonen, O, Dunder, T, Kulmala, P, Lasa, E, D’Amelio, C, Martínez, S, Joral, A, Gastaminza, G, Goikoetxea, MJ, Candy, DCA, Van Ampting, MTJ, Oude Nijhuis, MM, Butt, AM, Peroni, DG, Fox, AT, Knol, J, Michaelis, LJ, Padua, I, Padrao, P, Moreira, P, Barros, R, Sharif, H, Ahmed, M, Gomaa, N, Mens, J, Smit, K, Timmermans, F, Poredoš, T, Jeverica, AK, Sedmak, M, Benedik, E, Accetto, M, Zupančič, M, Yonamine, G, Soldateli, G, Aquilante, B, Pastorino, AC, de Moraes Beck, CL, Gushken, AK, de Barros Dorna, M, dos Santos, CN, Castro, APM, Al-Qahtani, A, Arnaout, R, Khaliq, AR, Amin, R, Sheikh, F, Alvarez, J, Anda, M, Palacios, M, De Prada, M, Ponce, C, Balbino, B, Sibilano, R, Marichal, T, Gaudenzio, N, Karasuyama, H, Bruhns, P, Tsai, M, Reber, LL, Galli, SJ, Ferreira, AR, Cernadas, JR, del Campo García, A, Fernández, SP, Carrera, NS, Sánchez-Cruz, FB, Lorenzo, JRF, Claus, S, Pföhler, C, Ruëff, F, Treudler, R, Jaume, ME, Madroñero, A, Perez, MTG, Julia, JC, Plovdiv, CH, Gethings, L, Langridge, J, Adel-Patient, K, Bernard, H, Barcievic-Jones, I, Sokolova, R, Yankova, R, Ivanovska, M, Murdjeva, M, Popova, T, Dermendzhiev, S, Karjalainen, M, Lehnigk, U, Brown, D, Locklear, JC, Locklear, J, Maris, I, Hourihane, J, Ornelas, C, Caiado, J, Ferreira, MB, Pereira-Barbosa, M, Puente, Y, Daza, JC, Monteseirin, FJ, Ukleja-Sokolowska, N, Gawronska-Ukleja, E, Zbikowska-Gotz, M, Bartuzi, Z, Sokolowski, L, Adams, A, Mahon, B, English, K, Gourdon-Dubois, N, Sellam, L, Pereira, B, Michaud, E, Messaoudi, K, Evrard, B, Fauquert, J-L, Palomares, F, Gomez, G, Rodriguez, MJ, Galindo, L, Molina, A, Paparo, L, Mennini, M, Aitoro, R, Wawrzeńczyk, A, Przybyszewski, M, Sarıcoban, HE, Ugras, M, Yalvac, Z, Flokstra-de Blok, BMJ, van der Velde, JL, Vereda, A, Ippolito, C, Traversa, A, Adriano, D, Bianchi, DM, Gallina, S, Decastelli, L, Makatsori, M, Miles, A, Devetak, SP, Devetak, I, Tabet, SA, Trandbohus, JF, Winther, P, Malling, H-J, Hansen, KS, Garvey, LH, Wang, C-C, Cheng, Y-H, Tung, C-W, Dietrich, M, Marenholz, I, Kalb, B, Grosche, S, Blümchen, K, Schlags, R, Price, M, Rietz, S, Esparza-Gordillo, J, Lau, S, Lee, Y-A, Almontasheri, A, Bahkali, MA, Elshorbagi, S, Alfhaid, A, Altamimi, M, Madbouly, E, Al-Dhekri, H, Arnaout, RK, Basagaña, M, Miquel, S, Bartolomé, B, Brix, B, Rohwer, S, Brandhoff, S, Berger, A, Suer, W, Weimann, A, Bueno, C, Martín-Pedraza, L, Abián, S, Segundo-Acosta, PS, López-Rodríguez, JC, Barderas, R, Batanero, E, Cuesta-Herranz, J, Villalba, MT, Correia, M, Benito-Garcia, F, Arêde, C, Piedade, S, Morais-Almeida, M, Hindley, J, Yarham, R, Kuklinska-Pijanka, A, Gillick, D, Patient, K, Chapman, MD, Miranda, A, Matos, E, Sokolova, A, Rao, H, Baricevic-Jones, I, Smith, F, Xue, W, Magnusdottir, H, Vidarsdottir, AG, Lund, S, Jensen, AB, Ludviksson, BR, Simon, R, Elfont, R, Bennett, S, Voyksner, R, de Lurdes Torre, M, Yürek, S, Faber, MA, Bastiaensen, A, Mangodt, E, van Gasse, A, Decuyper, I, Sabato, V, Hagendorens, MM, Bridts, CH, De Clerck, LS, Ebo, D, Schwarz, S, Ziegert, M, Albroscheit, S, Schwager, C, Kull, S, Behrends, J, Röckendorf, N, Schocker, F, Frey, A, Homann, A, Becker, W-M, Jappe, U, Zaabat, N, Osscini, S, Agabriel, C, Sterling, B, Carsin, A, Liabeuf, V, Maćków, M, Zbróg, A, Bronkowska, M, Courtois, J, Gadisseur, R, Bertholet, C, Lukas, P, Cavalier, E, Delahaut, P, Quinting, B, Gertmo, MB, Hasseus, ET, Barzylovych, V, Oliveira, J, Ensina, LF, Aranda, CS, Dopazo, L, Lopez, R, Perez, R, Santos-Diez, L, Bilbao, A, Garcia, JM, Núñez, IG, Mármol, MÁA, Villarejo, MJB, Martos, JAB, Vergara, MS, García, JMI, Michalska, A, Sergiejko, G, Zacniewski, R, Ghiordanescu, I-M, Deaconu, C, Popescu, M, Bumbacea, RS, Ibranji, A, Nikolla, E, Loloci, G, Juel-Berg, N, Larsen, LF, Poulsen, LK, Marcelino, J, Prata, R, Costa, AC, Duarte, F, Neto, M, Santos, J, Pestana, LC, Sampaio, D, Minale, P, Dignetti, P, Bignardi, D, Nedelea, I, Popescu, F-D, Vieru, M, Secureanu, F-A, Ganea, CS, Vieira, M, Silva, JPM, Watts, T, Watts, S, Lomikovska, M, Peredelskaya, M, Nenasheva, N, Filipovic, I, Zivkovic, Z, Filipovic, D, Higgs, J, Warner, A, Jones, C, Pouessel, G, Claverie, C, Labreuche, J, Renaudin, J-M, Dorkenoo, A, Eb, M, Moneret-Vautrin, A, Deschildre, A, Leteurtre, S, Grabenhenrich, L, Worm, M, Dölle, S, Scherer, K, Hutteger, I, Christensen, M, Bindslev-Jensen, C, Mortz, C, Eller, E, Kjaer, HF, Carneiro-Leão, L, Badas, J, Coimbra, A, Levy, DP, Ben-Shoshan, M, Rimon, A, Benor, S, Arends, NJT, Edelbroek, N, de Groot, H, Emons, JAM, Brand, HKA, Verhoeven, D, van Veen, LN, de Jong, NW, Noh, G, Jang, EH, Pascal, M, Dominguez, O, Piquer, M, Alvaro, M, Jimenez-Feijoo, R, Lozano, J, Machinena, A, del Mar Folqué, M, Giner, MT, Plaza, AM, Turner, P, Patel, N, Vazquez-Ortiz, M, Lindsley, S, Walker, L, Rosenberg, S, Mari, A, Alessandri, C, Giangrieco, I, Tuppo, L, Rafaiani, C, Mitterer, G, Ciancamerla, M, Ferrara, R, Bernardi, ML, Zennaro, D, Tamburrini, M, Ciardiello, MA, Harwanegg, C, Fernandez, A, Selb, R, Egenmann, P, Epstein, M, Hoffmann-Sommergruber, K, Koning, F, Lovik, M, Clare Mills, EN, Moreno, J, van Loveren, H, Wal, J-M, Diesner, S, Bergmayr, C, Pfitzner, B, Assmann, VE, Starkl, P, Endesfelder, D, Eiwegger, T, Szepfalusi, Z, Fehrenbach, H, Jensen-Jarolim, E, Hartmann, A, Pali-Schöll, I, Untersmayr, E, Wille, S, Meyer, P, Klingebiel, C, Lidholm, J, Ehrenberg, A, Östling, J, Cleach, I, Mège, J-L, Vitte, J, Aina, R, Dubiela, P, Pfeifer, S, Bublin, M, Radauer, C, Humeniuk, P, Kabasser, S, Asero, R, Bogas, G, Gomez, F, Campo, P, Salas, M, Doña, I, Barrionuevo, E, Guerrero, MA, Mayorga, C, Prieto, A, Barber, D, Torres, MJ, Jamin, A, Wangorsch, A, Ballmer, B, Vieths, S, Scheurer, S, Apostolovic, D, Mihailovic, J, Krstic, M, Starkhammar, M, Velickovic, TC, Hamsten, C, van Hage, M, van Erp, FC, Knol, EF, Kansen, HM, Pontoppidan, B, Meijer, Y, van der Ent, CK, Knulst, AC, Sayers, R, Brown, H, Custovic, A, Simpson, A, Mills, C, Schulz, J, Akkerdaas, J, Totis, M, Capt, A, Herouet-Guicheney, C, van Ree, R, Banerjee, T, Banerjee, A, Claude, M, Bouchaud, G, Lupi, R, Castan, L, Tranquet, O, Denery-Papini, S, Bodinier, M, Brossard, C, De Poi, R, Gritti, E, De Dominicis, E, Popping, B, de Laureto, PP, Palosuo, K, Kukkonen, AK, Pelkonen, A, Mäkelä, M, Lee, NA, Rost, J, Muralidharan, S, Campbell, D, Mehr, S, Nock, C, Baumert, J, Taylor, S, Mastrorilli, C, Tripodi, S, Caffarelli, C, Perna, S, Di Rienzo Businco, A, Sfika, I, Dondi, A, Bianchi, A, Dascola, CP, Ricci, G, Cipriani, F, Maiello, N, del Giudice, MM, Frediani, T, Frediani, S, Macrì, F, Pistoletti, C, Iacono, ID, Patria, MF, Varin, E, Peroni, D, Comberiati, P, Chini, L, Moschese, V, Lucarelli, S, Bernardini, R, Pingitore, G, Pelosi, U, Olcese, R, Moretti, M, Cirisano, A, Faggian, D, Travaglini, A, Plebani, M, Verga, MC, Calvani, M, Giordani, P, Matricardi, PM, Ontiveros, N, Cabrera-Chavez, F, Galand, J, Beaudouin, E, Pineau, F, Sakai, S, Matsunaga, K, Teshima, R, Larré, C, Denery, S, Tschirner, S, Trendelenburg, V, Schulz, G, Niggemann, B, Beyer, K, Bouferkas, Y, Belabbas, Y, Saidi, D, Kheroua, O, Mecherfi, KEE, Guendouz, M, Haddi, A, Kaddouri, H, Amaral, L, Pereira, A, Rodrigues, S, Datema, M, Jongejan, L, Clausen, M, Knulst, A, Papadopoulos, N, Kowalski, M, de Blay, F, Zwinderman, A, Hoffman-Sommergruber, K, Ballmer-Weber, B, Fernandez-Rivas, M, Deng, S, Yin, J, Eisenmann, C, Nassiri, M, Reinert, R, van der Valk, JPM, van Wijk, RG, Vergouwe, Y, Steyerberg, EW, Reitsma, M, Wichers, HJ, Savelkoul, HFJ, Vlieg-Boerstra, B, Dubois, AEJ, Carolino, F, Rodolfo, A, Cernadas, J, Roa-Medellín, D, Rodriguez-Fernandez, A, Navarro, J, Albendiz, V, Baeza, ML, Intente-Herrero, S, Mikkelsen, A, Mehlig, K, Lissner, L, Verrill, L, Luccioli, S, van Bilsen, J, Kuper, F, Wolterbeek, A, Rankouhi, TR, Verschuren, L, Cnossen, H, Jeurink, P, Garssen, J, Knippels, L, Garthoff, J, Houben, G, Leeman, W, Eleonore Pettersson, M, Schins, AMM, Koppelman, GH, Kollen, BJ, Zubchenko, S, Kuntz, S, Mérida, P, Álvaro, M, Riggioni, C, Castellanos, JH, Jimenez, R, Cap, M, Drumez, E, Lejeune, S, Thumerelle, C, Mordacq, C, Nève, V, Ricò, S, Varini, M, Nocerino, R, Cosenza, L, Amoroso, A, Di Costanzo, M, Di Scala, C, Bedogni, G, Canani, RB, Turner, PJ, Poza-Guedes, P, González-Pérez, R, Sánchez-Machín, I, Matheu-Delgado, V, Wambre, E, Ballegaard, A-S, Madsen, C, Gregersen, J, Bøgh, KL, Aubert, P, Neunlist, M, Magnan, A, Lozano-Ojalvo, D, Pablos-Tanarro, A, Pérez-Rodríguez, L, Molina, E, López-Fandiño, R, Rekima, A, Macchiaverni, P, Turfkruyer, M, Holvoet, S, Dupuis, L, Baiz, N, Annesi-Maesano, I, Mercenier, A, Nutten, S, Verhasselt, V, Mrakovcic-Sutic, I, Banac, S, Sutic, I, Baricev-Novakovic, Z, Pavisic, V, Muñoz-Cano, R, Jiménez-Rodríguez, T, Corbacho, D, Roca-Ferrer, J, Bartra, J, Bulog, A, Micovic, V, Markiewicz, L, Szymkiewicz, A, Szyc, A, Wróblewska, B, Harvey, BM, Harthoorn, LF, Wesley Burks, A, Rentzos, G, Björk, A-LB, Bengtsson, U, Barber, C, Kalicinsky, C, Breynaert, C, Coorevits, L, Jansen, C, Van Hoeyveld, E, Verbeke, K, Kochuyt, A-M, Schrijvers, R, Deleanu, D, Muntean, A, Konstantakopoulou, M, Pasioti, M, Papadopoulou, A, Iliopoulou, A, Mikos, N, Kompoti, E, de Castro, ED, Bartalomé, B, Ue, KL, Griffiths, E, Till, S, Grimshaw, K, Roberts, G, Selby, A, Butiene, I, Larco, JI, Dubakiene, R, Fiandor, A, Fiocchi, A, Sigurdardottir, S, Sprikkelman, A, Schoemaker, A-F, Xepapadaki, P, Keil, T, Cojocariu, Z, Barbado, BS, Iancu, V, Arroabarren, E, Esarte, MG, Arteaga, M, Andrade, MC, Borges, D, Kalil, J, Bianchi, PG, Agondi, RC, Gupta, RK, Sharma, A, Gupta, K, Das, M, Dwivedi, P, Karseladze, R, Jorjoliani, L, Saginadze, L, Tskhakaia, M, Basello, K, Piuri, G, Speciani, AF, Speciani, MC, Camerotto, C, Zinno, F, Pakholchuk, O, Nedelska, S, Pattini, S, Costantino, MT, Peveri, S, Villalta, D, Savi, E, Costanzi, A, Revyakina, VA, Kiseleva, MA, Kuvshinova, ED, Larkova, IA, Shekhetov, AA, Silva, D, Moreira, A, Plácido, J, van der Kleij, H, van Twuijver, E, Sutorius, R, de Kam, P-J, van Odijk, J, Lindqvist, H, Lustig, E, Jácome, AAA, Aguilar, KLB, Domínguez, MG, Hernández, DAM, Caruso, C, Casale, C, Rapaccini, GL, Romano, A, De Vitis, I, Cocco, RR, Aranda, C, Mallozi, MC, Motta, JF, Moraes, L, Pastorino, A, Rosario, N, Goudouris, E, Porto, A, Wandalsen, NF, Sarinho, E, Sano, F, Solé, D, Pitsios, C, Petrodimopoulou, M, Papadopoulou, E, Passioti, M, Kontogianni, M, Adamia, N, Khaleva, E, del Prado, AP, Du Toit, G, Krzych, E, Samolinska-Zawisza, U, Furmanczyk, K, Tomaszewska, A, Raciborski, F, Lipiec, A, Samel-Kowalik, P, Walkiewicz, A, Borowicz, J, Samolinski, B, Nano, AL, Recto, M, Somoza, ML, López, NB, Alzate, DP, Ruano, FJ, Garcimartín, MI, Haroun, E, de la Torre, MV, Rojas, A, Onieva, ML, Canto, G, Rodrigues, A, Forno, A, Cabral, AJ, Gonçalves, R, Vorozhko, I, Sentsova, T, Chernyak, O, Denisova, S, Ilènko, L, Muhortnich, V, Zimmermann, C, Rohrbach, A, Bakhsh, FR, Boudewijn, K, Oomkes-Pilon, A-M, Van Ginkle, D, Šilar, M, Jeverica, A, Vesel, T, Avčin, T, Korošec, P, van der Valk, J, Berends, I, Arends, N, van Maaren, M, Wichers, H, Emons, J, Dubois, A, de Jong, N, Matsyura, O, Besh, L, Huang, C-H, Jan, T-R, Stiefel, G, Tratt, J, Kirk, K, Arasi, S, Caminiti, L, Crisafulli, G, Fiamingo, C, Fresta, J, Pajno, G, Remington, B, Kruizinga, A, Marty Blom, W, Westerhout, J, Bijlsma, S, Blankestijn, M, Otten, H, Klemans, R, Michelsen-Huisman, AD, van Os-Medendorp, H, Kruizinga, AG, Versluis, A, van Duijn, G, de Zeeuw-Brouwer, HM-L, Castenmiller, JJM, Noteborn, HPJM, Houben, GF, Bravin, K, Luyt, D, Javed, B, Couch, P, Munro, C, Padfield, P, Sperrin, M, Byrne, A, Oosthuizen, L, Kelleher, C, Ward, F, Brosnan, N, King, G, Corbet, E, Guzmán, JAH, García, MB, Asensio, O, Navarrete, LV, Larramona, H, Miró, XD, Pyrz, K, Austin, M, Boloh, Y, Galloway, D, Hernandez, P, Hourihane, JOB, Kenna, F, Majkowska-Wojciechowska, B, Regent, L, Themisb, M, Schnadt, S, Semic-Jusufagic, A, Galvin, AD, Kauppila, T, Kuitunen, M, Kitsioulis, NA, Douladiris, N, Kostoudi, S, Manolaraki, I, Mitsias, D, Manousakis, E, Papadopoulos, NG, Knibb, R, Hammond, J, Cooke, R, Yrjänä, J, Hanni, A-M, Vähäsarja, P, Mustonen, O, Dunder, T, Kulmala, P, Lasa, E, D’Amelio, C, Martínez, S, Joral, A, Gastaminza, G, Goikoetxea, MJ, Candy, DCA, Van Ampting, MTJ, Oude Nijhuis, MM, Butt, AM, Peroni, DG, Fox, AT, Knol, J, Michaelis, LJ, Padua, I, Padrao, P, Moreira, P, Barros, R, Sharif, H, Ahmed, M, Gomaa, N, Mens, J, Smit, K, Timmermans, F, Poredoš, T, Jeverica, AK, Sedmak, M, Benedik, E, Accetto, M, Zupančič, M, Yonamine, G, Soldateli, G, Aquilante, B, Pastorino, AC, de Moraes Beck, CL, Gushken, AK, de Barros Dorna, M, dos Santos, CN, Castro, APM, Al-Qahtani, A, Arnaout, R, Khaliq, AR, Amin, R, Sheikh, F, Alvarez, J, Anda, M, Palacios, M, De Prada, M, Ponce, C, Balbino, B, Sibilano, R, Marichal, T, Gaudenzio, N, Karasuyama, H, Bruhns, P, Tsai, M, Reber, LL, Galli, SJ, Ferreira, AR, Cernadas, JR, del Campo García, A, Fernández, SP, Carrera, NS, Sánchez-Cruz, FB, Lorenzo, JRF, Claus, S, Pföhler, C, Ruëff, F, Treudler, R, Jaume, ME, Madroñero, A, Perez, MTG, Julia, JC, Plovdiv, CH, Gethings, L, Langridge, J, Adel-Patient, K, Bernard, H, Barcievic-Jones, I, Sokolova, R, Yankova, R, Ivanovska, M, Murdjeva, M, Popova, T, Dermendzhiev, S, Karjalainen, M, Lehnigk, U, Brown, D, Locklear, JC, Locklear, J, Maris, I, Hourihane, J, Ornelas, C, Caiado, J, Ferreira, MB, Pereira-Barbosa, M, Puente, Y, Daza, JC, Monteseirin, FJ, Ukleja-Sokolowska, N, Gawronska-Ukleja, E, Zbikowska-Gotz, M, Bartuzi, Z, Sokolowski, L, Adams, A, Mahon, B, English, K, Gourdon-Dubois, N, Sellam, L, Pereira, B, Michaud, E, Messaoudi, K, Evrard, B, Fauquert, J-L, Palomares, F, Gomez, G, Rodriguez, MJ, Galindo, L, Molina, A, Paparo, L, Mennini, M, Aitoro, R, Wawrzeńczyk, A, Przybyszewski, M, Sarıcoban, HE, Ugras, M, Yalvac, Z, Flokstra-de Blok, BMJ, van der Velde, JL, Vereda, A, Ippolito, C, Traversa, A, Adriano, D, Bianchi, DM, Gallina, S, Decastelli, L, Makatsori, M, Miles, A, Devetak, SP, Devetak, I, Tabet, SA, Trandbohus, JF, Winther, P, Malling, H-J, Hansen, KS, Garvey, LH, Wang, C-C, Cheng, Y-H, Tung, C-W, Dietrich, M, Marenholz, I, Kalb, B, Grosche, S, Blümchen, K, Schlags, R, Price, M, Rietz, S, Esparza-Gordillo, J, Lau, S, Lee, Y-A, Almontasheri, A, Bahkali, MA, Elshorbagi, S, Alfhaid, A, Altamimi, M, Madbouly, E, Al-Dhekri, H, Arnaout, RK, Basagaña, M, Miquel, S, Bartolomé, B, Brix, B, Rohwer, S, Brandhoff, S, Berger, A, Suer, W, Weimann, A, Bueno, C, Martín-Pedraza, L, Abián, S, Segundo-Acosta, PS, López-Rodríguez, JC, Barderas, R, Batanero, E, Cuesta-Herranz, J, Villalba, MT, Correia, M, Benito-Garcia, F, Arêde, C, Piedade, S, Morais-Almeida, M, Hindley, J, Yarham, R, Kuklinska-Pijanka, A, Gillick, D, Patient, K, Chapman, MD, Miranda, A, Matos, E, Sokolova, A, Rao, H, Baricevic-Jones, I, Smith, F, Xue, W, Magnusdottir, H, Vidarsdottir, AG, Lund, S, Jensen, AB, Ludviksson, BR, Simon, R, Elfont, R, Bennett, S, Voyksner, R, de Lurdes Torre, M, Yürek, S, Faber, MA, Bastiaensen, A, Mangodt, E, van Gasse, A, Decuyper, I, Sabato, V, Hagendorens, MM, Bridts, CH, De Clerck, LS, Ebo, D, Schwarz, S, Ziegert, M, Albroscheit, S, Schwager, C, Kull, S, Behrends, J, Röckendorf, N, Schocker, F, Frey, A, Homann, A, Becker, W-M, Jappe, U, Zaabat, N, Osscini, S, Agabriel, C, Sterling, B, Carsin, A, Liabeuf, V, Maćków, M, Zbróg, A, Bronkowska, M, Courtois, J, Gadisseur, R, Bertholet, C, Lukas, P, Cavalier, E, Delahaut, P, Quinting, B, Gertmo, MB, Hasseus, ET, Barzylovych, V, Oliveira, J, Ensina, LF, Aranda, CS, Dopazo, L, Lopez, R, Perez, R, Santos-Diez, L, Bilbao, A, Garcia, JM, Núñez, IG, Mármol, MÁA, Villarejo, MJB, Martos, JAB, Vergara, MS, García, JMI, Michalska, A, Sergiejko, G, Zacniewski, R, Ghiordanescu, I-M, Deaconu, C, Popescu, M, Bumbacea, RS, Ibranji, A, Nikolla, E, Loloci, G, Juel-Berg, N, Larsen, LF, Poulsen, LK, Marcelino, J, Prata, R, Costa, AC, Duarte, F, Neto, M, Santos, J, Pestana, LC, Sampaio, D, Minale, P, Dignetti, P, Bignardi, D, Nedelea, I, Popescu, F-D, Vieru, M, Secureanu, F-A, Ganea, CS, Vieira, M, Silva, JPM, Watts, T, Watts, S, Lomikovska, M, Peredelskaya, M, Nenasheva, N, Filipovic, I, Zivkovic, Z, Filipovic, D, Higgs, J, Warner, A, and Jones, C
- Published
- 2017
4. Allergy immunotherapy across the life cycle to promote active and healthy ageing : from research to policies
- Author
-
Calderon, MA, Demoly, P, Casale, T, Akdis, CA, Bachert, C, Bewick, M, Bilo, BM, Bohle, B, Bonini, S, Bush, A, Caimmi, DP, Canonica, GW, Cardona, V, Chiriac, AM, Cox, L, Custovic, A, De Blay, F, Devillier, P, Didier, A, Di Lorenzo, G, Du Toit, G, Durham, SR, Eng, P, Fiocchi, A, Fox, AT, Van Wijk, RG, Gomez, RM, Haathela, T, Halken, S, Hellings, PW, Jacobsen, L, Just, J, Tanno, LK, Kleine-Tebbe, J, Klimek, L, Knol, EF, Kuna, P, Larenas-Linnemann, DE, Linneberg, A, Matricardi, M, Malling, HJ, Moesges, R, Mullol, J, Muraro, A, Papadopoulos, N, Passalacqua, G, Pastorello, E, Pfaar, O, Price, D, Rodriguez del Rio, P, Rueff, R, Samolinski, B, Scadding, GK, Senti, G, Shamji, MH, Sheikh, A, Sisul, JC, Sole, D, Sturm, GJ, Tabar, A, Van Ree, R, Ventura, MT, Vidal, C, Varga, EM, Worm, M, Zuberbier, T, Bousquet, J, Internal Medicine, and Medical Research Council (MRC)
- Subjects
Pulmonary and Respiratory Medicine ,EIP on AHA ,Science & Technology ,EAACI POSITION PAPER ,RUSH IMMUNOTHERAPY ,Allergy ,GRASS-POLLEN ALLERGY ,INTERNATIONAL CONSENSUS ,EUROPEAN INNOVATION PARTNERSHIP ,Immunology ,NATIONAL DATABASES ,ORAL IMMUNOTHERAPY ,Ageing ,AIRWAYS ICPs ,Allergen immunotherapy ,Asthma ,Rhinitis ,Immunology and Allergy ,SUBLINGUAL IMMUNOTHERAPY ,PRECISION MEDICINE ,IMMUNOLOGY/PRACTALL CONSENSUS REPORT ,Medicine and Health Sciences ,Life Sciences & Biomedicine - Abstract
European Innovation Partnership on Active and Healthy Ageing Reference Site MACVIA-France, European Structural and Development Funds of Region Languedoc Roussillon Allergic diseases often occur early in life and persist throughout life. This life-course perspective should be considered in allergen immunotherapy. In particular it is essential to understand whether this al treatment may be used in old age adults. The current paper was developed by a working group of AIRWAYS integrated care pathways for airways diseases, the model of chronic respiratory diseases of the European Innovation Partnership on active and healthy ageing (DG CONNECT and DG Sante). It considered (1) the political background, (2) the rationale for allergen immunotherapy across the life cycle, (3) the unmet needs for the treatment, in particular in preschool children and old age adults, (4) the strategic framework and the practical approach to synergize current initiatives in allergen immunotherapy, its mechanisms and the concept of active and healthy ageing. Imperial Coll London, Natl Heart & Lung Inst, Royal Brompton Hosp NHS, London, England UPMC Paris 06, Sorbonne Univ,Dept Pneumol & Addictol,UMR S 1136, Hop Arnaud de Villeneuve,CHRU Montpellier, IPLESP,Equipe EPAR,Unite Allergol, F-75013 Paris, France Univ S Florida, Morsani Coll Med, Tampa, FL USA Univ Zurich, Swiss Inst Allergy & Asthma Res SIAF, Christine Kuhne Ctr Allergy Res & Educ CK CARE, Davos, Switzerland Univ Hosp Ghent, ENT Dept, Upper Airways Res Lab URL, Ghent, Belgium IQ4U Consultants Ltd, London, England Osped Riuniti, Univ Hosp, Allergy Unit, Dept Internal Med, Ancona, Italy Med Univ Vienna, Dept Pathophysiol & Allergy Res, Ctr Pathophysiol Infectiol & Immunol, Vienna, Austria Univ Naples 2, Rome, Italy CNR, IFT, Rome, Italy Univ Genoa, Allergy & Resp Dis Clin, DIMI, IRCCS AOU San Martino IST, Genoa, Italy Hosp Univ Vall dHebron, Allergy Sect, Dept Internal Med, Barcelona, Spain Montpellier UPMC Univ Paris 06, Sorbonne Univ,UMRS 1136, Hop Arnaud de Villeneuve,Equipe EPAR IPLESP, Div Allergy,Dept Pulmonol,Univ Hosp Montpellier, Paris, France Nova Southeastern Univ, Ft Lauderdale, FL USA Univ Hosp Strasbourg, Div Allergy, Chest Dis Dept, Strasbourg, France Univ Versailles St Quentin, Suresnes, France Foch Hosp, Dept Airway Dis, Clin Pharmacol Unit, UPRES EA 220, Suresnes, France Rangueil Larrey Hosp, Dept Resp Dis, Toulouse, France Univ Palermo, Di Bi MIS, Palermo, Italy Kings Coll London, Guys & St Thomas NHS Trust, London, England Imperial Coll London, Natl Heart & Lung Inst, Allergy & Clin Immunol Sect, London, England Childrens Hosp, Dept Pediat Pulmonol & Allergy, Aarau, Switzerland Bambino Gesu Pediat Hosp, Dept Pediat, Div Allergy, Rome, Italy Kings Coll London, Allergy Acad, London, England Erasmus MC, Dept Internal Med, Bldg Rochussenstr, Rotterdam, Netherlands Hosp San Bernardo, Unidad Alergia & Asma, Salta, Argentina Helsinki Univ Hosp, Skin & Allergy Hosp, Helsinki, Finland Odense Univ Hosp, Hans Christian Andersen Childrens Hosp, Odense, Denmark Katholieke Univ Leuven, Univ Hosp Leuven, Clin Dept Otorhinolaryngol Head & Neck Surg, Louvain, Belgium Secretary Immunotherapy Interest Grp EAACI, Allergy Learning & Consulting, Copenhagen, Denmark UPMC Univ Paris, Sorbonne Univ,Hop Enfants Armand Trousseau,INSERM, Inst Pierre Louis Epidemiol & Sante Publ,Equipe E, Allergol Dept,Ctr Asthme & Allergies,UMR S 1136, Paris, France Hosp Sirio Libanes, Sao Paulo, Brazil Univ Hosp Montpellier, Montpellier, France UPMC Paris 06, Sorbonne Univ, Equipe EPAR, UMR S 1136,IPLESP, Paris, France Ackermann Hanf & Kleine Tebbe, Outpatient Clin & Clin Res Ctr, Allergy & Asthma Ctr Westend, Berlin, Germany German Soc Otorhinolaryngol HNS, Ctr Rhinol & Allergol, Wiesbaden, Germany Univ Med Ctr Utrecht, Dept Immunol & Dermatol Allergol, Utrecht, Netherlands Med Univ Lodz, Lodz, Poland ARIA, Mexico City, DF, Mexico Hosp Med Sur, AAAAI, Mexico City, DF, Mexico Capital Reg Denmark, Res Ctr Prevent & Hlth, Copenhagen, Denmark Rigshosp, Dept Clin Expt Res, Copenhagen, Denmark Univ Copenhagen, Fac Hlth & Med Sci, Dept Clin Med, Copenhagen, Denmark Charite Med Univ, Pediat Pneumol & Immunol, Berlin, Germany Gentofte Univ Hosp, Allergy Clin, Danish Allergy Ctr, Hellerup, Denmark Klinikum Univ Koln AoR, IMSIE, Cologne, Germany Hosp Clin Barcelona, Unitat Rinol & Clin Olfacte, ENT Dept, Clin & Expt Resp Immunoallergy,IDIBAPS,CIBERES, Barcelona, Catalonia, Spain Padua Gen Univ Hosp, Dept Women & Child Hlth, Food Allergy Referral Ctr Veneto Reg, Padua, Italy Univ Athens, Allergy Unit, Pediat Clin 2, Athens, Greece Univ Genoa, Allergy & Resp Dis, IRCCS San Martino IST, Genoa, Italy ASST Grande Osped Metropolitano Niguarda, Pzza Osped Maggiore, Milan, Italy Univ Med Mannheim, Dept Otorhinolaryngol Head & Neck Surg, Mannheim, Germany Heidelberg Univ, Med Fac Mannheim, Heidelberg, Germany Ctr Rhinol & Allergol, Wiesbaden, Germany Univ Aberdeen, Acad Primary Care, Div Appl Hlth Sci, Primary Care Resp Med, Aberdeen, Scotland RiRL, Cambridge, England Optimum Patient Care Ltd, Singapore, Singapore Hosp Infantil Univ Nino Jesus, Allergy Sect, Madrid, Spain Ludwig Maximillian Univ, Dept Dermatol & Allergol, Munich, Germany Med Univ Warsaw, Dept Prevent Environm Hazards & Allergol, Warsaw, Poland Royal Natl Throat Nose & Ear Hosp, London, England UCL, London, England Univ Zurich Hosp, Clin Trials Ctr, Zurich, Switzerland Imperial Coll London, Natl Heart & Lung Inst, Allergy & Clin Immunol Inflammat Repair & Dev Sec, Immunomodulat & Tolerance Grp,Fac Med, London, England MRC, London, England Asthma UK Ctr Allerg Mechanisms Asthma, London, England Univ Edinburgh, Usher Inst Populat Hlth Sci & Informat, Asthma UK Ctr Appl Res, Med Informat Ctr, Teviot Pl, Edinburgh EH8 9AG, Midlothian, Scotland SLAAI, Asuncion, Paraguay Univ Fed Sao Paulo, Programa Posgrad Pediat & Ciencias Aplicadas Pedi, Dept Pediat EPM, Sao Paulo, Brazil Med Univ Graz, Dept Dermatol & Venerol, Graz, Austria Allergy Outpatient Clin Reumannplatz, Vienna, Austria Complejo Hosp Navarra, Serv Alergol, Pamplona, Spain Univ Amsterdam, Acad Med Ctr, Dept Expt Immunol, Amsterdam, Netherlands Univ Amsterdam, Acad Med Ctr, Dept Otorhinolaryngol, Amsterdam, Netherlands Univ Bari, Sch Med, Unit Geriatr Immunoallergol, Interdisciplinary Dept Med, Bari, Italy Complejo Hosp Univ Santiago de Compostela, Dept Allergy, Santiago De Compostela, Spain Med Univ Graz, Dept Paediat, Resp & Allerg Dis Div, Graz, Austria Charite Univ Med Berlin, Klin Dermatol Venerol & Allergol, Allergie Ctr Charite, Berlin, Germany European Innovat Partnership Act & Hlth Ageing Re, MAlad Chron Vleillissement Actif Languedoc Roussi, Paris, France INSERM, VIMA, Epidemiol & Publ Hlth Approaches, U1168,Ageing & Chron Dis, Paris, France Univ Versailles St Quentin En Yvelines, UVSQ, UMR S 1168, Versailles, France CHRU, 371 Ave Doyen Gaston Giraud, F-34295 Montpellier 5, France Programa de Pòs‑Graduação em Pediatria e Ciências Aplicadas à Pediatria, Departamento de Pediatria EPM, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil Web of Science
- Published
- 2016
5. Allergy immunotherapy across the life cycle to promote active and healthy ageing : from research to policies: An AIRWAYS Integrated Care Pathways (ICPs) programme item (Action Plan B3 of the European Innovation Partnership on active and healthy ageing) and the Global Alliance against Chronic Respiratory Diseases (GARD), a World Health Organization GARD research demonstration project
- Author
-
Calderon, M A, Demoly, P, Casale, T, Akdis, C A, Bachert, C, Bewick, M, Bilò, B M, Bohle, B, Bonini, S, Bush, A, Caimmi, D P, Canonica, G W, Cardona, V, Chiriac, A M, Cox, L, Custovic, A, De Blay, F, Devillier, P, Didier, A, Di Lorenzo, G, Du Toit, G, Durham, S R, Eng, P, Fiocchi, A, Fox, A T, van Wijk, R Gerth, Gomez, R M, Haathela, T, Halken, S, Hellings, P W, Jacobsen, L, Just, J, Tanno, L K, Kleine-Tebbe, J, Klimek, L, Knol, EF, Kuna, P, Larenas-Linnemann, D E, Linneberg, A, Matricardi, M, Malling, H J, Moesges, R, Mullol, J, Muraro, A, Papadopoulos, N, Passalacqua, G, Pastorello, E, Pfaar, O, Price, D, Del Rio, P Rodriguez, Ruëff, R, Samolinski, B, Scadding, G K, Senti, G, Shamji, M H, Sheikh, A, Sisul, J C, Sole, D, Sturm, G J, Tabar, A, Van Ree, R, Ventura, M T, Vidal, C, Varga, E M, Worm, M, Zuberbier, T, Bousquet, J, Calderon, M A, Demoly, P, Casale, T, Akdis, C A, Bachert, C, Bewick, M, Bilò, B M, Bohle, B, Bonini, S, Bush, A, Caimmi, D P, Canonica, G W, Cardona, V, Chiriac, A M, Cox, L, Custovic, A, De Blay, F, Devillier, P, Didier, A, Di Lorenzo, G, Du Toit, G, Durham, S R, Eng, P, Fiocchi, A, Fox, A T, van Wijk, R Gerth, Gomez, R M, Haathela, T, Halken, S, Hellings, P W, Jacobsen, L, Just, J, Tanno, L K, Kleine-Tebbe, J, Klimek, L, Knol, EF, Kuna, P, Larenas-Linnemann, D E, Linneberg, A, Matricardi, M, Malling, H J, Moesges, R, Mullol, J, Muraro, A, Papadopoulos, N, Passalacqua, G, Pastorello, E, Pfaar, O, Price, D, Del Rio, P Rodriguez, Ruëff, R, Samolinski, B, Scadding, G K, Senti, G, Shamji, M H, Sheikh, A, Sisul, J C, Sole, D, Sturm, G J, Tabar, A, Van Ree, R, Ventura, M T, Vidal, C, Varga, E M, Worm, M, Zuberbier, T, and Bousquet, J
- Published
- 2016
6. Allergy immunotherapy across the life cycle to promote active and healthy ageing: from research to policies: An AIRWAYS Integrated Care Pathways (ICPs) programme item (Action Plan B3 of the European Innovation Partnership on active and healthy ageing) and the Global Alliance against Chronic Respiratory Diseases (GARD), a World Health Organization GARD research demonstration project
- Author
-
MS Dermatologie/Allergologie, CDL Celdiagnostiek, Infection & Immunity, Calderon, M A, Demoly, P, Casale, T, Akdis, C A, Bachert, C, Bewick, M, Bilò, B M, Bohle, B, Bonini, S, Bush, A, Caimmi, D P, Canonica, G W, Cardona, V, Chiriac, A M, Cox, L, Custovic, A, De Blay, F, Devillier, P, Didier, A, Di Lorenzo, G, Du Toit, G, Durham, S R, Eng, P, Fiocchi, A, Fox, A T, van Wijk, R Gerth, Gomez, R M, Haathela, T, Halken, S, Hellings, P W, Jacobsen, L, Just, J, Tanno, L K, Kleine-Tebbe, J, Klimek, L, Knol, EF, Kuna, P, Larenas-Linnemann, D E, Linneberg, A, Matricardi, M, Malling, H J, Moesges, R, Mullol, J, Muraro, A, Papadopoulos, N, Passalacqua, G, Pastorello, E, Pfaar, O, Price, D, Del Rio, P Rodriguez, Ruëff, R, Samolinski, B, Scadding, G K, Senti, G, Shamji, M H, Sheikh, A, Sisul, J C, Sole, D, Sturm, G J, Tabar, A, Van Ree, R, Ventura, M T, Vidal, C, Varga, E M, Worm, M, Zuberbier, T, Bousquet, J, MS Dermatologie/Allergologie, CDL Celdiagnostiek, Infection & Immunity, Calderon, M A, Demoly, P, Casale, T, Akdis, C A, Bachert, C, Bewick, M, Bilò, B M, Bohle, B, Bonini, S, Bush, A, Caimmi, D P, Canonica, G W, Cardona, V, Chiriac, A M, Cox, L, Custovic, A, De Blay, F, Devillier, P, Didier, A, Di Lorenzo, G, Du Toit, G, Durham, S R, Eng, P, Fiocchi, A, Fox, A T, van Wijk, R Gerth, Gomez, R M, Haathela, T, Halken, S, Hellings, P W, Jacobsen, L, Just, J, Tanno, L K, Kleine-Tebbe, J, Klimek, L, Knol, EF, Kuna, P, Larenas-Linnemann, D E, Linneberg, A, Matricardi, M, Malling, H J, Moesges, R, Mullol, J, Muraro, A, Papadopoulos, N, Passalacqua, G, Pastorello, E, Pfaar, O, Price, D, Del Rio, P Rodriguez, Ruëff, R, Samolinski, B, Scadding, G K, Senti, G, Shamji, M H, Sheikh, A, Sisul, J C, Sole, D, Sturm, G J, Tabar, A, Van Ree, R, Ventura, M T, Vidal, C, Varga, E M, Worm, M, Zuberbier, T, and Bousquet, J
- Published
- 2016
7. Diagnosis of peanut allergy
- Author
-
Klemans, RJB, Broekman, H, Knol, EF, Otten, HG, Bruijnzeel-Koomen, CAFM, Pasmans, Suzanne, and Dermatology
- Published
- 2014
8. Trend in dairy sheep BLG genotype found with repeatability test-day model
- Author
-
Finocchiaro, R, Sardina, MT, Knol, EF, van Kaam, JBCHM, Portolano, B, Finocchiaro, R, Sardina, MT, Knol, EF, van Kaam, JBCHM, and Portolano, B
- Subjects
Settore AGR/17 - Zootecnica Generale E Miglioramento Genetico ,dairy sheep, BLG, repeatability test-day model - Abstract
A total of 19.207 test-days, collected on 4 farms from 1999-2006 and belonging to 1109 Valle del Belice dairy sheep were analyzed with a repeatability model. After strict outlier analysis 17.747 records were retained. Animals were reared in an extensive system resulting in large environmental influences. However, significant genetic variation was detected in production traits (milk production mean=1336 stdg=93 g/d, fat+protein 167 stdg=12 g/d). Heritability was only 3% while the interaction year by month of test-day explained 27% of the variation. A protein and DNA analysis program was initiated in order to facilitate selection to maintain these flocks under these conditions. In total 427 animals were typed for the -lactoglobulin locus. Using the recorded pedigree this genotype information was spread over the entire population. The trend in frequency for the AA genotype was significantly negative (p-value=.0057), as were trends in milk yield and lactation length. Possibly farmers have a preference for the BB animals. Relations with production traits were indicative for this trend, but not significant. A possible explanation is the relevant, but non significant difference in length of the lactation between AA and BB animals.
- Published
- 2007
9. Efficient Boar Semen Production and Genetic Contribution: The Impact of Low-Dose Artificial Insemination on Fertility
- Author
-
Broekhuijse, MLWJ, primary, Gaustad, AH, additional, Bolarin Guillén, A, additional, and Knol, EF, additional
- Published
- 2015
- Full Text
- View/download PDF
10. Immune development and regulation in young children - Potential markers for prediction of health and disease.
- Author
-
Prakken, Berent, van Wijk, Femke, Arets, Bert, Bruijnzeel-Koomen, Carla, van Strijp, Jos, van der Ent, Cornelis, Brand, P.L.P., Knol, EF, Reubsaet, L.L., Prakken, Berent, van Wijk, Femke, Arets, Bert, Bruijnzeel-Koomen, Carla, van Strijp, Jos, van der Ent, Cornelis, Brand, P.L.P., Knol, EF, and Reubsaet, L.L.
- Published
- 2014
11. Immune development and regulation in young children - Potential markers for prediction of health and disease.
- Author
-
Child Health, Infection & Immunity, Cluster B, Circulatory Health, Prakken, Berent, van Wijk, Femke, Arets, Bert, Reubsaet, L.L., Bruijnzeel-Koomen, Carla, van Strijp, JAG, van der Ent, Kors, Brand, P.L.P., Knol, EF, Child Health, Infection & Immunity, Cluster B, Circulatory Health, Prakken, Berent, van Wijk, Femke, Arets, Bert, Reubsaet, L.L., Bruijnzeel-Koomen, Carla, van Strijp, JAG, van der Ent, Kors, Brand, P.L.P., and Knol, EF
- Published
- 2014
12. Differential expression of cytokines in UV-B-exposed skin of patients with polymorphous light eruption
- Author
-
Kölgen, W, van Meurs, Marjan, Jongsma, M, van Weelden, H, Bruijnzeel-Koomen, CAFM, Knol, EF, van Vloten, WA, Laman, Jon, de Gruijl, FR, and Immunology
- Published
- 2004
13. Adverse effects of ultraviolet irradiation in atopic dermatitis.
- Author
-
Bruijnzeel-Koomen, Carla, Knol, EF, Sigurdsson, Vigfus, ten Berge, O., Bruijnzeel-Koomen, Carla, Knol, EF, Sigurdsson, Vigfus, and ten Berge, O.
- Published
- 2010
14. Adverse effects of ultraviolet irradiation in atopic dermatitis.
- Author
-
Infection & Immunity, MS Dermatologie/Allergologie, Bruijnzeel-Koomen, Carla, Knol, EF, Sigurdsson, Vigfús, ten Berge, O., Infection & Immunity, MS Dermatologie/Allergologie, Bruijnzeel-Koomen, Carla, Knol, EF, Sigurdsson, Vigfús, and ten Berge, O.
- Published
- 2010
15. Novel opportunities for tailor-made immunomodulation in atopic diseases - breaking the waves.
- Author
-
Kimpen, JLL, Prakken, Berent, Hoekstra, M.O., Knol, EF, Kapitein, B., Kimpen, JLL, Prakken, Berent, Hoekstra, M.O., Knol, EF, and Kapitein, B.
- Published
- 2008
16. Novel opportunities for tailor-made immunomodulation in atopic diseases - breaking the waves.
- Author
-
Infection & Immunity, Integrale & Algemene Kindergeneeskunde, Kimpen, JLL, Prakken, Berent, Hoekstra, M.O., Knol, EF, Kapitein, B., Infection & Immunity, Integrale & Algemene Kindergeneeskunde, Kimpen, JLL, Prakken, Berent, Hoekstra, M.O., Knol, EF, and Kapitein, B.
- Published
- 2008
17. Genetic opportunities for pork production without castration
- Author
-
Merks, JWM, primary, Hanenberg, EHAT, additional, Bloemhof, S, additional, and Knol, EF, additional
- Published
- 2009
- Full Text
- View/download PDF
18. Probiotics for prevention of atopic disease?
- Author
-
Niers, LEM, primary, Rijkers, G, additional, Knol, EF, additional, Meijer, Y, additional, and Hoekstra, MO, additional
- Published
- 2003
- Full Text
- View/download PDF
19. Atopy patch testing – a diagnostic tool?
- Author
-
De Bruin‐weller, Ms, primary, Knol, Ef, additional, and Bruijnzeel‐koomen, Cafm, additional
- Published
- 1999
- Full Text
- View/download PDF
20. Subcellular localization of transforming growth factor-alpha in human eosinophil granulocytes
- Author
-
Egesten, A, primary, Calafat, J, additional, Knol, EF, additional, Janssen, H, additional, and Walz, TM, additional
- Published
- 1996
- Full Text
- View/download PDF
21. Testing for IgG4 against foods is not recommended as a diagnostic tool: EAACI Task Force report.
- Author
-
Stapel SO, Asero R, Ballmer-Weber BK, Knol EF, Strobel S, Vieths S, and Kleine-Tebbe J
- Abstract
Copyright of Journal of Laboratory Medicine / Laboratoriums Medizin is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2010
- Full Text
- View/download PDF
22. Can a supercomputer help doctors manage patients? American Diabetes Association hopes online computer consultant will improve diabetes care.
- Author
-
Niers LEM, Rijkers G, Knol EF, Meijer Y, Hoekstra MO, Kalliomäki M, Salminen S, Arvilommi H, Isolauri E, and Pirisi, Angela
- Published
- 2003
23. Immune development and regulation in young children - Potential markers for prediction of health and disease
- Author
-
Reubsaet, L.L., Prakken, Berent, van Wijk, Femke, Arets, Bert, Bruijnzeel-Koomen, Carla, van Strijp, Jos, van der Ent, Cornelis, Brand, P.L.P., Knol, EF, and University Utrecht
- Abstract
The human immune system is complex and is formed and shaped during life by many triggers. Different subsets of T helper cells are involved in immunity against pathogens, but can also play a role in inflammatory diseases like allergy, asthma and allo-reactive disease. The regulation of these inflammatory responses is mediated by the regulatory T cell (Treg). During our whole life these different T cell subsets try to maintain a balance within the immune system. Graft-versus-Host disease Allogeneic haematopoietic SCT (HSCT) may provide a curative therapy for haematological malignancies. Insight into the dynamics of early immune reconstitution after HSCT is essential for unravelling the mechanisms that may be involved in allo-reactive disease. We studied early Treg reconstitution after paediatric HSCT and showed that in children Treg proportions early after HSCT and in the graft were inversely correlated with allo-reactivity. Thus evaluation of FOXP3+ T cell numbers early after HSCT and in the graft may be used to judge the risk of developing allo-reactivity after HSCT. Allergic disease In patients with allergic diseases symptoms are caused by aberrant Th2 cell responses to nonpathogenic antigens and Treg cells play a role in the control of these responses. The development and function of Treg cells are controlled by the transcription factor forkhead box protein 3 (FOXP3), whereas high expression of GATA3 determines Th2 cell differentiation. GATA3 is involved in induction of Th2 cytokines IL4, IL5 and IL13. First we investigated the role of GATA3 and FOXP3 in allergen specific responses in allergen sensitized and non-sensitized children. We showed that in allergic children allergens induce upregulation of GATA3 and FOXP3 partially within the same cell. This FOXP3/GATA3 double-positive cell population were activated Th2 like cells but able to suppress proliferation and Th1 cytokines, while Th2 cytokines were unaffected. This might contribute to the polarization and/or amplification of the allergen specific Th2 response instead of controlling it. Furthermore we showed that in young children, allergen specific in vitro Th2 responses, characterized by GATA3 expression, and production of IL4, IL5 and IL13, precede the detection of allergen specific IgE. Thereby we might be able to predict development of allergic disease even before IgE is detected and provide a window of opportunity to novel therapeutic interventions. Predicting allergic disease In order to find parameters for prediction prospective follow up studies are needed investigating differences between individuals that develop disease and individuals that do not. We prospectively follow a group of early wheezers from age 3 to 6 years and at age 6 they were categorized as having allergic asthma or not. This study showed that plasma levels of Interferon gamma induced protein 10 (IP-10 [CXCL10]), thymus- and activation-regulated chemokine (TARC [CCL17]) and macrophage derived chemokine (MDC [CCL22]) were increased in early wheezers that developed allergic asthma and might thus be able to contribute to the prediction of allergic asthma. A larger prospective follow-up study is needed to validate these results.
- Published
- 2014
24. Novel opportunities for tailor-made immunomodulation in atopic diseases - breaking the waves
- Author
-
Kapitein, B., Kimpen, JLL, Prakken, Berent, Hoekstra, M.O., Knol, EF, and University Utrecht
- Abstract
Treatment and, ultimately prevention of complex diseases such as atopic diseases, should start with the identification of individuals at risk for developing (an) atopic disease(s). Gene expression profiles, that is, whether a gene is expressed as mRNA, can reflect both genetic and environmental factors. We explored gene expression profiles in children with wheezing symptoms. Children who persist to wheeze after the age of three are at risk of developing asthma, but recognition of these persistent wheezers is difficult due to several heterogeneous wheezing phenotypes. Gene expression profiles did not only differentiate between transient and persistent wheezers, but these two distinct wheezing phenotypes also share some common pro-inflammatory genes, such as DUSP2, JunB, TNFAIP3, TNFSF13B and LILRB2. Three genes, STAT1, TLR7 and PTGER2 which appeared to differentiate between the transient and persistent wheezers proved to distinguish these two phenotypes in a prospective cohort study, thereby recognizing those children at risk to develop asthma. Also, when wheezing children were compared with healthy controls, the increased expression of several genes encoding for heat shock proteins (hsp) was found. These stress proteins play an important role in the regulation of inflammatory processes and interestingly, their activation secludes both innate as well as adaptive immune responses. To elucidate the mechanism on how hsp exert a regulatory role we studied the effects of stimulation of CBMCs with human hsp60. The cord blood mononuclear cells are thought to be naive cells, but the immune regulatory capacities of hsp are thought to be innate and might therefore exert certain reactions in CBMCs. Not only did CBMCs proliferate in response to hsp60 but this recognition led to the induction of suppressive, FOXP3 positive T cells. These suppressive FOXP3 positive T cells are referred to as regulatory T cells. This induction of suppressive, regulatory T cells is of great interest when exploring new opportunities for therapeutic strategies in atopic diseases. A cytokine known for its immunosuppressive effect is TGF-Beta. To get more insight in the pathophysiology of the induction of regulatory T cells and the influence of the differentiation status of T cells in this process, a study was performed in which naïve CBMCs of healthy donors were stimulated with TGF-Beta in vitro. The CBMCs were stimulated either unskewed, or skewed towards a TH1 or TH2 type. This skewing process seemed to be of great influence on the effects of TGF-Beta, since CBMCs skewed towards a TH2 profile were far less responsive to the influence of TGF-Beta compared to CBMCs skewed towards a TH1 profile. This implicates that the mechanisms involved in regulation varies, depending at least in part, to the cell type which is targeted. Hsp are also capable of inducing regulatory T cells in CBMCs of healthy donors. The role of hsp in atopic diseases is unclear, but a few studies have shown that increased levels of hsp (hsp70 in this particular study) can be detected in asthma. We were curious whether hsp were also capable of eliciting a response in PBMCs of atopic children with active allergic symptoms. The PBMCs of atopic children recognized hsp which induced pro-inflammatory autoreactive T cells in vitro. The implication for future therapeutic perspectives have to be further investigated.
- Published
- 2008
25. EAACI guidelines on the management of IgE-mediated food allergy.
- Author
-
Santos AF, Riggioni C, Agache I, Akdis CA, Akdis M, Alvarez-Perea A, Alvaro-Lozano M, Ballmer-Weber B, Barni S, Beyer K, Bindslev-Jensen C, Brough HA, Buyuktiryaki B, Chu D, Del Giacco S, Dunn-Galvin A, Eberlein B, Ebisawa M, Eigenmann P, Eiwegger T, Feeney M, Fernandez-Rivas M, Fiocchi A, Fisher HR, Fleischer DM, Giovannini M, Gray C, Hoffmann-Sommergruber K, Halken S, O'B Hourihane J, Jones CJ, Jutel M, Knol EF, Konstantinou GN, Lack G, Lau S, Mejias AM, Marchisotto MJ, Meyer R, Mortz CG, Moya B, Muraro A, Nilsson C, de Oliveira LCL, O'Mahony L, Papadopoulos NG, Perrett KP, Peters R, Podesta M, Poulsen LK, Roberts G, Sampson H, Schwarze J, Smith P, Tham E, Untersmayr E, Van Ree R, Venter C, Vickery B, Vlieg-Boerstra B, Werfel T, Worm M, Du Toit G, and Skypala I
- Abstract
This European Academy of Allergy and Clinical Immunology (EAACI) guideline provides recommendations for the management of IgE-mediated food allergy and was developed using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach. Following the confirmation of IgE-mediated food allergy diagnosis, allergen avoidance and dietary advice (with support of a specialised dietitian, if possible) together with the provision of a written treatment plan, education on the recognition of allergic symptoms and prescription of medication including adrenaline using an auto-injector are essential. Patients with significant anxiety and requirement for coping strategies may benefit from support from a clinical psychologist. As immunomodulatory interventions, omalizumab is suggested for treatment of IgE-mediated food allergy in children from the age of 1 and adults; and oral allergen-specific immunotherapy is recommended for children and adolescents with peanut allergy and suggested for milk and egg allergies (generally after 4 years of age for milk and egg). Sublingual and epicutaneous immunotherapy are suggested for peanut allergy but are not yet available at the point of care. Future research into disease modifying treatments for IgE-mediated food allergy are highly needed, with standardised and patient-focused protocols and outcomes., (© 2024 The Author(s). Allergy published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.)
- Published
- 2024
- Full Text
- View/download PDF
26. IgE versus IgG and IgA: Differential roles of allergen-specific antibodies in sensitization, tolerization, and treatment of allergies.
- Author
-
Knol EF and van Neerven RJJ
- Abstract
The prevalence of asthma, rhinitis, and food allergies has increased dramatically over the last few decades. This increase originally started in western countries, but is now also evident in many other regions of the world. Given the fact that the increase is so quick, the noted increase cannot be linked to a genetic effect, and many environmental factors have been identified that are associated with increased or reduced prevalence of allergies, like changing dietary habits, increased urbanization, pollution, exposure to microorganisms and LPS, and the farming environment and raw milk consumption. Although the key role of allergen-specific IgE in allergies is well known, the role of allergen-specific IgG and IgA antibodies is less well defined. This review will provide an overview of the functions of allergen-specific IgE in allergy, the role of allergen-specific antibodies (IgG (4) and IgA) in allergen immunotherapy (AIT), the possibility to use allergen-specific antibodies for treatment of ongoing allergies, and the potential role of allergen-specific antibodies in tolerance induction to allergens in a preventive setting. In the last, more speculative, section we will present novel hypotheses on the potential role of allergen-specific non-IgE antibodies in allergies by directing antigen presentation, Th2 development, and innate immune training., (© 2024 The Author(s). Immunological Reviews published by John Wiley & Sons Ltd.)
- Published
- 2024
- Full Text
- View/download PDF
27. Neuroinflammatory markers at school age in preterm born children with neurodevelopmental impairments.
- Author
-
Van der Zwart S, Knol EF, Gressens P, Koopman C, Benders M, and Roze E
- Abstract
Background: Immune system activation in the neonatal period is associated with white matter injury in preterm infants. In animal studies, neonatal priming of the immune system leads to chronic activation of i.e. microglia cells and altered neuroinflammatory responses potentially years after preterm birth. This may contribute further to brain injury and neurodevelopmental impairment. It is unknown to what extend this also occurs in human., Aim: To identify neuro-inflammatory markers at school age that relate to motor, cognitive and behavioral impairments in preterm born children in a pilot case-control study., Methods: We included n = 20 preterm born children (GA < 28 weeks) in this study, of which n = 10 with motor, cognitive and behavorial impairments and n = 10 preterm born controls next to n = 30 healthy adult controls. In the preterm children, at 8-9 years, 39 inflammatory markers were assessed by Luminex assay in blood serum samples. Firstly, the preterm concentrations of these markers were compared to n = 30 adult controls. Then a univariate analysis was performed to determine differences in values between preterm children with and without impairment at school age. Finally, a principal component analysis and hierarchical clustering was performed to identify protein profiles in preterm born children that relate to impairment at school age., Results: Inflammatory proteins in preterm children at school age differed from values of adult controls. Within the group of preterm children, we found significantly higher levels of GM-CSF in preterms with impairment ( p < 0.01) and a trend towards significance for Gal1 and TRAIL ( p = 0.06 and p = 0.06 respectively) when compared to preterms without impairment. In addition, differences in clustering of proteins between preterm children was observed, however this variance was not explained by presence of neurodevelopmental impairments., Conclusion: The inflammatory profile at school age in preterm children is different from that of adult controls. The immune modulating cytokines GM-CSF, Gal1 and TRAIL were higher in preterm children with impairment than control preterm children, suggesting that immune responses are altered in these children. No specific cluster of inflammatory markers could be identified. Results indicate that even at school age, neuroinflammatory pathways are activated in preterm born children with neurodevelopmental impairments., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 Published by Elsevier Inc.)
- Published
- 2024
- Full Text
- View/download PDF
28. Metabolic pathways in immune senescence and inflammaging: Novel therapeutic strategy for chronic inflammatory lung diseases. An EAACI position paper from the Task Force for Immunopharmacology.
- Author
-
Roth-Walter F, Adcock IM, Benito-Villalvilla C, Bianchini R, Bjermer L, Caramori G, Cari L, Chung KF, Diamant Z, Eguiluz-Gracia I, Knol EF, Jesenak M, Levi-Schaffer F, Nocentini G, O'Mahony L, Palomares O, Redegeld F, Sokolowska M, Van Esch BCAM, and Stellato C
- Subjects
- Humans, Animals, Chronic Disease, Inflammation metabolism, Inflammation immunology, Lung Diseases etiology, Lung Diseases drug therapy, Lung Diseases metabolism, Lung Diseases immunology, Pulmonary Disease, Chronic Obstructive metabolism, Pulmonary Disease, Chronic Obstructive drug therapy, Pulmonary Disease, Chronic Obstructive immunology, Aging immunology, Aging metabolism, Cellular Senescence drug effects, Metabolic Networks and Pathways
- Abstract
The accumulation of senescent cells drives inflammaging and increases morbidity of chronic inflammatory lung diseases. Immune responses are built upon dynamic changes in cell metabolism that supply energy and substrates for cell proliferation, differentiation, and activation. Metabolic changes imposed by environmental stress and inflammation on immune cells and tissue microenvironment are thus chiefly involved in the pathophysiology of allergic and other immune-driven diseases. Altered cell metabolism is also a hallmark of cell senescence, a condition characterized by loss of proliferative activity in cells that remain metabolically active. Accelerated senescence can be triggered by acute or chronic stress and inflammatory responses. In contrast, replicative senescence occurs as part of the physiological aging process and has protective roles in cancer surveillance and wound healing. Importantly, cell senescence can also change or hamper response to diverse therapeutic treatments. Understanding the metabolic pathways of senescence in immune and structural cells is therefore critical to detect, prevent, or revert detrimental aspects of senescence-related immunopathology, by developing specific diagnostics and targeted therapies. In this paper, we review the main changes and metabolic alterations occurring in senescent immune cells (macrophages, B cells, T cells). Subsequently, we present the metabolic footprints described in translational studies in patients with chronic asthma and chronic obstructive pulmonary disease (COPD), and review the ongoing preclinical studies and clinical trials of therapeutic approaches aiming at targeting metabolic pathways to antagonize pathological senescence. Because this is a recently emerging field in allergy and clinical immunology, a better understanding of the metabolic profile of the complex landscape of cell senescence is needed. The progress achieved so far is already providing opportunities for new therapies, as well as for strategies aimed at disease prevention and supporting healthy aging., (© 2023 The Authors. Allergy published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.)
- Published
- 2024
- Full Text
- View/download PDF
29. Differential dynamics of TARC during JAK-inhibitor therapy compared to biological therapies targeting type 2 inflammation.
- Author
-
Boesjes CM, Bakker DS, Knol EF, de Graaf M, van Wijk F, and de Bruin-Weller MS
- Subjects
- Humans, Biological Therapy, Chemokine CCL17, Inflammation
- Published
- 2024
- Full Text
- View/download PDF
30. EAACI task force report: A consensus protocol for the basophil activation test for collaboration and external quality assurance.
- Author
-
Pascal M, Edelman SM, Nopp A, Möbs C, Geilenkeuser WJ, Knol EF, Ebo DG, Mertens C, Shamji MH, Santos AF, Patil S, Eberlein B, Mayorga C, and Hoffmann HJ
- Subjects
- Humans, Consensus, Basophil Degranulation Test, Basophils
- Published
- 2024
- Full Text
- View/download PDF
31. Large scale sequence-based screen for recessive variants allows for identification and monitoring of rare deleterious variants in pigs.
- Author
-
Boshove A, Derks MFL, Sevillano CA, Lopes MS, van Son M, Knol EF, Dibbits B, and Harlizius B
- Subjects
- Humans, Animals, Swine genetics, Quantitative Trait Loci genetics, Phenotype, Gene Frequency, Genotype, Cytoskeletal Proteins genetics, Genome-Wide Association Study, Polymorphism, Single Nucleotide genetics
- Abstract
Most deleterious variants are recessive and segregate at relatively low frequency. Therefore, high sample sizes are required to identify these variants. In this study we report a large-scale sequence based genome-wide association study (GWAS) in pigs, with a total of 120,000 Large White and 80,000 Synthetic breed animals imputed to sequence using a reference population of approximately 1,100 whole genome sequenced pigs. We imputed over 20 million variants with high accuracies (R2>0.9) even for low frequency variants (1-5% minor allele frequency). This sequence-based analysis revealed a total of 14 additive and 9 non-additive significant quantitative trait loci (QTLs) for growth rate and backfat thickness. With the non-additive (recessive) model, we identified a deleterious missense SNP in the CDHR2 gene reducing growth rate and backfat in homozygous Large White animals. For the Synthetic breed, we revealed a QTL on chromosome 15 with a frameshift variant in the OBSL1 gene. This QTL has a major impact on both growth rate and backfat, resembling human 3M-syndrome 2 which is related to the same gene. With the additive model, we confirmed known QTLs on chromosomes 1 and 5 for both breeds, including variants in the MC4R and CCND2 genes. On chromosome 1, we disentangled a complex QTL region with multiple variants affecting both traits, harboring 4 independent QTLs in the span of 5 Mb. Together we present a large scale sequence-based association study that provides a key resource to scan for novel variants at high resolution for breeding and to further reduce the frequency of deleterious alleles at an early stage in the breeding program., Competing Interests: All authors declare that the results are presented in full and present no conflict of interest., (Copyright: © 2024 Boshove 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.)
- Published
- 2024
- Full Text
- View/download PDF
32. Multifocal motor neuropathy is not associated with altered innate immune responses to endotoxin.
- Author
-
Bos JW, Groen EJN, Budding K, Delemarre EM, Goedee HS, Knol EF, van den Berg LH, and van der Pol WL
- Subjects
- Humans, Interleukin 1 Receptor Antagonist Protein, Interleukin-6, Antibodies, Immunity, Innate, Endotoxins toxicity, Polyneuropathies chemically induced
- Abstract
Objective: Antibody- and complement-mediated peripheral nerve inflammation are central in the pathogenesis of MMN. Here, we studied innate immune responses to endotoxin in patients with MMN and controls to further our understanding of MMN risk factors and disease modifiers., Methods: We stimulated whole blood of 52 patients with MMN and 24 controls with endotoxin and collected plasma. With a multiplex assay, we determined levels of the immunoregulating proteins IL-1RA, IL-1β, IL-6, IL-10, IL-21, TNF-α, IL-8 and CD40L in unstimulated and LPS-stimulated plasma. We compared baseline and stimulated protein levels between patients and controls and correlated concentrations to clinical parameters., Results: Protein level changes after stimulation were comparable between groups (p > 0.05). IL-1RA, IL-1β, IL-6 and IL-21 baseline concentrations showed a positive correlation with monthly IVIg dosage (all corrected p-values < 0.016). Patients with anti-GM1 IgM antibodies showed a more pronounced IL-21 increase after stimulation (p 0.048)., Conclusions: Altered endotoxin-induced innate immune responses are unlikely to be a susceptibility factor for MMN., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2023
- Full Text
- View/download PDF
33. The impact of Box-Cox transformation on phenotypic and genomic characteristics of litter size variability in Landrace pigs.
- Author
-
Cieleń G, Derks MFL, Knol EF, and Sell-Kubiak E
- Subjects
- Pregnancy, Animals, Female, Swine genetics, Litter Size genetics, Phenotype, Polymorphism, Single Nucleotide, Genomics, Genome-Wide Association Study veterinary, Genome-Wide Association Study methods, Parturition
- Abstract
The genetic background of variability remains of interest especially in traits of high economic importance, e.g. litter size in pigs. It has been indicated that the data transformation can affect the variability phenotype. This study aims to evaluate the phenotypic and genomic background of variability of litter size obtained from data before and after the Box-Cox transformation. In total, 67 500 records on the total number born (TNB) in Landrace pig population were used. Since the data presented skewness, the decision was made to perform Box-Cox transformation on TNB and obtain bcTNB. Next, the phenotypic variability was estimated as log-transformed variance of residuals (LnVar) for both TNB (LnVar_TNB) and bcTNB (LnVar_bcTNB). The variability traits were further used in the genome-wide association study (GWAS) performed on 10 688 sows genotyped with Axiom porcine 660 K or imputed to 660 K SNP-chip. The substantial difference in skewness was observed after data transformation, represented as a change from -0.46 to -0.02. Heritability for TNB was 0.118 vs 0.125 for bcTNB. The heritability for LnVar_TNB was 0.0025 vs 0.0037 for LnVar_bcTNB. The change in the genetic variance was confirmed when genetic coefficients on SD level were compared: 2% for LnVar_TNB vs 4% for LnVar_bcTNB. In bivariate analysis, the genetic correlation between the additive genetic effects of the mean TNB and its variability changed from 0.38 to 0.63. The observed positive genetic correlations indicated that selection focused on increasing the litter size will simultaneously cause an increase in litter size variability. Based on GWAS, 14 SNPs were detected for LnVar_TNB and eight for LnVar_bcTNB, with two of them indicating the most promising candidate genes. First candidate gene located on Sus scrofa chromosome (SSC) 3 is STAG3, which plays an essential role in gametogenesis. Second gene located on SSC 10 is ESRRG, which affects placenta development. The additional post-GWAS analysis indicated even more candidate genes for LnVar_TNB and LnVar_bcTNB. The most promising candidate gene was located on SSC 13 - MFN1, which is involved in embryonic development. The results of this study indicated a substantial change in variance components for variability when the Box-Cox transformation was applied to data presenting skewness. Moreover, the data transformation changed the phenotype substantially enough that only part of SNP overlapped between two variability traits. Our investigation shows that it is essential to perform Box-Cox transformation for skewed data in order to properly describe phenotypic and genomic properties of litter size variability in Landrace pigs., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)
- Published
- 2023
- Full Text
- View/download PDF
34. Identification of the genetic basis of sow pelvic organ prolapse.
- Author
-
Bhatia V, Stevens T, Derks MFL, Dunkelberger J, Knol EF, Ross JW, and Dekkers JCM
- Abstract
Introduction: Pelvic organ prolapse (POP) is one contributor to recent increases in sow mortality that have been observed in some populations and environments, leading to financial losses and welfare concerns. Methods: With inconsistent previous reports, the objective here was to investigate the role of genetics on susceptibility to POP, using data on 30,429 purebred sows, of which 14,186 were genotyped (25K), collected from 2012 to 2022 in two US multiplier farms with a high POP incidence of 7.1% among culled and dead sows and ranging from 2% to 4% of all sows present by parity. Given the low incidence of POP for parities 1 and >6, only data from parities 2 to 6 were retained for analyses. Genetic analyses were conducted both across parities, using cull data (culled for POP versus another reason), and by parity, using farrowing data. (culled for POP versus culled for another reason or not culled). Results and Discussion: Estimates of heritability from univariate logit models on the underlying scale were 0.35 ± 0.02 for the across-parity analysis and ranged from 0.41 ± 0.03 in parity 2 to 0.15 ± 0.07 in parity 6 for the by-parity analyses. Estimates of genetic correlations of POP between parities based on bivariate linear models indicated a similar genetic basis of POP across parities but less similar with increasing distance between parities. Genome wide association analyses revealed six 1 Mb windows that explained more than 1% of the genetic variance in the across-parity data. Most regions were confirmed in several by-parity analyses. Functional analyses of the identified genomic regions showed a potential role of several genes on chromosomes 1, 3, 7, 10, 12, and 14 in susceptibility to POP, including the Estrogen Receptor gene. Gene set enrichment analyses showed that genomic regions that explained more variation for POP were enriched for several terms from custom transcriptome and gene ontology libraries. Conclusion: The influence of genetics on susceptibility to POP in this population and environment was confirmed and several candidate genes and biological processes were identified that can be targeted to better understand and mitigate the incidence of POP., Competing Interests: Co-authors TS, MFLD, JD, and EFK are employed by the company that provided the data (TopigsNorsvin). JCMD is involved in other research that is partially funded by TopigsNorsvin. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Bhatia, Stevens, Derks, Dunkelberger, Knol, Ross and Dekkers.)
- Published
- 2023
- Full Text
- View/download PDF
35. Preimplantation Genetic Testing for Aneuploidy (PGT-A) Reveals High Levels of Chromosomal Errors in In Vivo-Derived Pig Embryos, with an Increased Incidence When Produced In Vitro.
- Author
-
Jochems R, Canedo-Ribeiro C, Silvestri G, Derks MFL, Hamland H, Zak LJ, Knol EF, Handyside AH, Grindflek E, and Griffin DK
- Subjects
- Embryonic Development, Blastocyst physiology, Embryo, Mammalian physiology, Embryo Transfer veterinary, Polymorphism, Single Nucleotide, Algorithms, Animals, Chromosomes, Mammalian genetics, Sus scrofa embryology, Sus scrofa genetics, Sus scrofa physiology, Fertilization in Vitro veterinary, Aneuploidy, Genetic Testing methods
- Abstract
Preimplantation genetic testing for aneuploidy (PGT-A) is widespread, but controversial, in humans and improves pregnancy and live birth rates in cattle. In pigs, it presents a possible solution to improve in vitro embryo production (IVP), however, the incidence and origin of chromosomal errors remains under-explored. To address this, we used single nucleotide polymorphism (SNP)-based PGT-A algorithms in 101 in vivo-derived (IVD) and 64 IVP porcine embryos. More errors were observed in IVP vs. IVD blastocysts (79.7% vs. 13.6% p < 0.001). In IVD embryos, fewer errors were found at blastocyst stage compared to cleavage (4-cell) stage (13.6% vs. 40%, p = 0.056). One androgenetic and two parthenogenetic embryos were also identified. Triploidy was the most common error in IVD embryos (15.8%), but only observed at cleavage, not blastocyst stage, followed by whole chromosome aneuploidy (9.9%). In IVP blastocysts, 32.8% were parthenogenetic, 25.0% (hypo-)triploid, 12.5% aneuploid, and 9.4% haploid. Parthenogenetic blastocysts arose from just three out of ten sows, suggesting a possible donor effect. The high incidence of chromosomal abnormalities in general, but in IVP embryos in particular, suggests an explanation for the low success of porcine IVP. The approaches described provide a means of monitoring technical improvements and suggest future application of PGT-A might improve embryo transfer success.
- Published
- 2023
- Full Text
- View/download PDF
36. The genetic basis of swine inflammation and necrosis syndrome and its genetic association with post-weaning skin damage and production traits.
- Author
-
Leite NG, Knol EF, Nuphaus S, Vogelzang R, Tsuruta S, Wittmann M, and Lourenco D
- Subjects
- Pregnancy, Female, Animals, Swine genetics, Weaning, Phenotype, Birth Weight genetics, Inflammation veterinary, Necrosis genetics, Necrosis veterinary, Body Weight, Parturition, Swine Diseases genetics
- Abstract
The swine inflammation and necrosis syndrome (SINS) is a syndrome visually characterized by the presence of inflamed and necrotic skin at extreme body parts, such as the teats, tail, ears, and claw coronary bands. This syndrome is associated with several environmental causes, but knowledge of the role of genetics is still limited. Moreover, piglets affected by SINS are believed to be phenotypically more susceptible to chewing and biting behaviors from pen mates, which could cause a chronic reduction in their welfare throughout the production process. Our objectives were to 1) investigate the genetic basis of SINS expressed on piglets' different body parts and 2) estimate SINS genetic relationship with post-weaning skin damage and pre and post-weaning production traits. A total of 5,960 two to three-day-old piglets were scored for SINS on the teats, claws, tails, and ears as a binary phenotype. Later, those binary records were combined into a trait defined as TOTAL_SINS. For TOTAL_SINS, animals presenting no signs of SINS were scored as 1, whereas animals showing at least one affected part were scored as 2. Apart from SINS traits, piglets had their birth weight (BW) and weaning weight (WW) recorded, and up to 4,132 piglets were later evaluated for combined skin damage (CSD), carcass backfat (BF), and loin depth (LOD). In the first set of analyses, the heritability of SINS on different body parts was estimated with single-trait animal-maternal models, and pairwise genetic correlations between body parts were obtained from two-trait models. Later, we used four three-trait animal models with TOTAL_SINS, CSD, and an alternative production trait (i.e., BW, WW, LOD, BF) to access trait heritabilities and genetic correlations between SINS and production traits. The maternal effect was included in the BW, WW, and TOTAL_SINS models. The direct heritability of SINS on different body parts ranged from 0.08 to 0.34, indicating that reducing SINS incidence through genetic selection is feasible. The direct genetic correlation between TOTAL_SINS and pre-weaning growth traits (BW and WW) was favorable and negative (from -0.40 to -0.30), indicating that selection for animals genetically less prone to present signs of SINS will positively affect the piglet's genetics for heavier weight at birth and weaning. The genetic correlations between TOTAL_SINS and BF and between TOTAL_SINS and LOD were weak or not significant (-0.16 to 0.05). However, the selection against SINS was shown to be genetically correlated with CSD, with estimates ranging from 0.19 to 0.50. That means that piglets genetically less likely to present SINS signs are also more unlikely to suffer CSD after weaning, having a long-term increase in their welfare throughout the production system., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Society of Animal Science.)
- Published
- 2023
- Full Text
- View/download PDF
37. Inflammatory markers in cerebrospinal fluid of paediatric spinal muscular atrophy patients receiving nusinersen treatment.
- Author
-
Scheijmans FEV, Cuppen I, Zwartkruis MM, Signoria I, van Ekris C, Asselman F, Wadman RI, Knol EF, van der Pol WL, and Groen EJN
- Subjects
- Humans, Child, Child, Preschool, Oligonucleotides therapeutic use, Injections, Spinal methods, Muscular Atrophy, Spinal drug therapy, Spinal Muscular Atrophies of Childhood drug therapy
- Abstract
Spinal muscular atrophy (SMA) is a progressive motor neuron disease with onset during infancy or early childhood. Recent therapeutic advances targeting the genetic defect that underlies SMA improved survival in patients with infantile onset SMA (type 1) and improved motor function in SMA type 1-3. The most commonly used therapy for SMA, the antisense oligonucleotide nusinersen, is delivered by repeated intrathecal injections. The long-term safety effects of this procedure, however, have not yet been investigated in detail. We here present case reports of three children with SMA in which routine laboratory investigation revealed increased leukocyte counts in cerebrospinal fluid (CSF) collected during the course of nusinersen treatment. To further characterize this observation, we used a multiplex method to analyse a broad spectrum of inflammatory markers in the CSF of these patients. We found that interleukin-10 (IL10) was consistently elevated in CSF with increased leukocyte counts, but other inflammatory markers were not. Based on this analysis we selected 7 markers for further analysis in a cohort of 38 children with SMA and determined their expression during the course of nusinersen therapy. No consistent association was found between levels of inflammatory markers and the duration of nusinersen therapy in individual patients. However, monocyte chemoactive protein 1 (MCP1/CCL2) -a neuroprotective protein secreted by astrocytes and previously associated with SMA- levels increased over the course of nusinersen treatment, indicating a possible neuroprotective mechanism associated with nusinersen therapy. In summary, our findings confirm that repeated intrathecal injections are safe and do not trigger unwanted immune responses., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2022 The Authors. Published by Elsevier Ltd on behalf of European Paediatric Neurology Society. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).)
- Published
- 2023
- Full Text
- View/download PDF
38. Genetic aspects of piglet survival and related traits: a review.
- Author
-
Knol EF, van der Spek D, and Zak LJ
- Subjects
- Animals, Birth Weight genetics, Female, Litter Size, Phenotype, Pregnancy, Swine genetics, Weaning
- Abstract
In livestock, mortality in general, and mortality of the young, is societal worries and is economically relevant for farm efficiency. Genetic change is cumulative; if it exists for survival of the young and genetic merit can be estimated with sufficient accuracy, it can help alleviate the pressure of mortality. Lack of survival is a moving target; livestock production is in continuous change and labor shortage is a given. There is now ample evidence of clear genetic variance and of models able to provide genomic predictions with enough accuracy for selection response. Underlying traits such as birth weight, uniformity in birth weight, gestation length, number of teats, and farrowing duration all show genetic variation and support selection for survival or, alternatively, be selected for on their own merit., (© The Author(s) 2022. Published by Oxford University Press on behalf of the American Society of Animal Science.)
- Published
- 2022
- Full Text
- View/download PDF
39. Measurement of IgE to hazelnut allergen components cannot replace hazelnut challenge in Dutch adults.
- Author
-
Lyons SA, Welsing PMJ, Hakobyan M, Kansen HM, Knol EF, Otten HG, van Ree R, Knulst AC, and Le TM
- Subjects
- Allergens, Antigens, Plant, Humans, Immunoglobulin E, Plant Extracts, Corylus adverse effects, Nut Hypersensitivity diagnosis
- Abstract
Background: Component-resolved diagnostics (CRD) help predict hazelnut allergy (HA) in children, but are of unknown diagnostic value in adults. This study aimed to evaluate the diagnostic accuracy of IgE to hazelnut extract and components in adults., Methods: A Dutch population of consecutively presenting adults suspected of HA, who underwent a double-blind placebo-controlled food challenge, were included. Serum IgE to hazelnut extract and Cor a 1, 8, 9, and 14 was measured on ImmunoCAP. Diagnostic accuracy was assessed by area under the curve (AUC) analysis., Results: Of 89 patients undergoing challenge, 46 had challenge-confirmed HA: 17 based on objective and 29 based on subjective symptoms. At commonly applied cutoffs 0.1 and 0.35 kU
A /L, high sensitivity was observed for IgE to hazelnut extract and Cor a 1 (range 85-91%), and high specificity for IgE to Cor a 8, 9 and 14 (range 77-95%). However, the AUCs for hazelnut extract and components were too low for accurate prediction of HA (range 0.50-0.56). Combining hazelnut extract and component IgE measurements did not significantly improve accuracy. Higher IgE levels to Cor a 9 and 14 were tentatively associated with HA with objective symptoms, but the corresponding AUCs still only reached 0.68 and 0.63, respectively., Conclusions: Although hazelnut allergic adults are generally sensitized to hazelnut extract and Cor a 1, and hazelnut tolerant adults are usually not sensitized to Cor a 8, 9, or 14, challenge testing is still needed to accurately discriminate between presence and absence of HA in adults from a birch-endemic country., (© 2021 The Authors. Allergy published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.)- Published
- 2022
- Full Text
- View/download PDF
40. A multi-suckling system combined with an enriched housing environment during the growing period promotes resilience to various challenges in pigs.
- Author
-
Parois SP, Van Der Zande LE, Knol EF, Kemp B, Rodenburg TB, and Bolhuis JE
- Subjects
- Animals, Behavior, Animal physiology, Female, Sus scrofa, Swine, Weaning, Housing, Animal, Lipopolysaccharides
- Abstract
Little is known about the impact of social and environmental enrichment on improving livestock resilience, i.e. the ability to quickly recover from perturbations. We evaluated the effect of an alternative housing system (AHS) on resilience of pigs, as compared to conventional housing (CONV). The AHS consisted of multi-litter housing during lactation, delayed weaning, extra space allowance and environmental enrichment at all times. We assessed recovery to a 2 h-transport challenge, an LPS injection, 2 h-heat stress and a biopsy wound in 96 pigs. Additionally, indicators of long-term "wear and tear" on the body were determined. AHS pigs had better physiological recoveries with quicker returns to baseline in the transport and LPS challenges, showed lower cortisol accumulation in hairs and lower variance in weight gain over the experimental period compared to conventionally-housed (CONV) pigs. They also had higher levels of natural antibodies binding KLH than CONV pigs. Their response to heat stress revealed a different strategy compared to CONV pigs. Taken together, AHS pigs appear to be more resilient and experience less chronic stress. Enhancing welfare by provision of social and environmental enrichment that better meets the behavioural needs of pigs seems to be a promising approach to improve their resilience., (© 2022. The Author(s).)
- Published
- 2022
- Full Text
- View/download PDF
41. Effects of a Multi-Suckling System Combined With Enriched Housing Post-Weaning on Response and Cognitive Resilience to Isolation.
- Author
-
Parois SP, Van Der Zande LE, Knol EF, Kemp B, Rodenburg TB, and Bolhuis JE
- Abstract
Improving welfare is still a critical issue in pig husbandry. Upgrades of the housing environment seem to be a promising solution to optimise resilience as a whole, and therefore improve animal welfare. The objective of this study was to evaluate the effect of an alternative housing system to enhance cognitive resilience and also to promote the pigs' welfare. A total of 96 piglets from two contrasted housing systems [alternative housing system (AHS) vs. conventional system (CONV)] was used. The major upgrades of the alternative system were multi-litter housing during lactation, delayed weaning, extra space allowance, and environmental enrichment from birth onwards. To estimate welfare, weight, and feed intake (as a general indicator of performances), the tear staining area (as a chronic stress indicator), behavioural postures, heart rate traits, and saliva cortisol concentration were measured over a 21 h-isolation. To assess cognitive resilience, the pigs were subjected to a maze with a social reward both before and after the isolation challenge and indicators of cognitive abilities were followed. The AHS pigs showed lower cortisol levels and tear staining area before the challenge, demonstrating overall better welfare due to the alternative housing conditions. During the challenge, AHS pigs had a lower heart rate, higher heart rate variability, and higher vagal activity than the CONV pigs, which might indicate a reduced sensitivity to the stressor. AHS pigs appeared to have a better long-term memory tested in a maze. Providing social and environmental enrichments, that fit the satisfaction of the essential needs of the pigs better, appears to be beneficial for pig welfare as a whole. Its effects on cognitive resilience still need to be proven., Competing Interests: EK was employed by Topigs Norsvin Research Center. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Parois, Van Der Zande, Knol, Kemp, Rodenburg and Bolhuis.)
- Published
- 2022
- Full Text
- View/download PDF
42. Impact of Enrichment and Repeated Mixing on Resilience in Pigs.
- Author
-
Luo L, van der Zande LE, van Marwijk MA, Knol EF, Rodenburg TB, Bolhuis JE, and Parois SP
- Abstract
Resilience, the capacity of animals to be minimally affected by a disturbance or to rapidly bounce back to the state before the challenge, may be improved by enrichment, but negatively impacted by a high allostatic load from stressful management procedures in pigs. We investigated the combined effects of diverging environmental conditions from weaning and repeated mixing to create high allostatic load on resilience of pigs. Pigs were either exposed to barren housing conditions (B) from weaning onwards or provided with sawdust, extra toys, regular access to a "play arena" and daily positive human contact (E). Half of the pigs were exposed to repeated mixing (RM) and the other half to one mixing only at weaning (minimal mixing, MM). To assess their resilience, the response to and recovery from a lipopolysaccharide (LPS) sickness challenge and a Frustration challenge were studied. In addition, potential long-term resilience indicators, i.e. natural antibodies, hair cortisol and growth were measured. Some indications of more favorable responses to the challenges in E pigs were found, such as lower serum reactive oxygen metabolite (dROM) concentrations and a smaller area under the curve of dROM after LPS injection. In the Frustration challenge, E pigs showed less standing alert, escape behaviors and other negative behaviors, a tendency for a smaller area under the curve of salivary cortisol and a lower plasma cortisol level at 1 h after the challenge. Aggression did not decrease over mixings in RM pigs and was higher in B pigs than in E pigs. Repeated mixing did not seem to reduce resilience. Contrary to expectations, RM pigs showed a higher relative growth than MM pigs during the experiment, especially in the week of the challenges. Barren RM pigs showed a lower plasma cortisol concentration than barren MM pigs after the LPS challenge, which may suggest that those RM pigs responded less detrimentally than MM pigs. Enriched RM pigs showed a higher level of IgM antibodies binding keyhole limpet hemocyanin (KLH) than enriched MM and barren RM pigs, and RM pigs showed a sharper decline in IgG antibodies binding Bovine Serum Albumin (PC-BSA) over time than MM pigs. Hair cortisol concentrations were not affected by enrichment or mixing. To conclude, enrichment did not enhance the speed of recovery from challenges in pigs, although there were indications of reduced stress. Repeated as opposed to single mixing did not seem to aggravate the negative effects of barren housing on resilience and for some parameters even seemed to reduce the negative effects of barren housing., Competing Interests: EK was employed by Topigs Norsvin. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Luo, Zande, Marwijk, Knol, Rodenburg, Bolhuis and Parois.)
- Published
- 2022
- Full Text
- View/download PDF
43. Evaluation of the phenotypic and genomic background of variability based on litter size of Large White pigs.
- Author
-
Sell-Kubiak E, Knol EF, and Lopes M
- Subjects
- Animals, Female, Genomics, Litter Size genetics, Phenotype, Polymorphism, Single Nucleotide, Pregnancy, Sus scrofa genetics, Swine genetics, Genome-Wide Association Study, Quantitative Trait Loci
- Abstract
Background: The genetic background of trait variability has captured the interest of ecologists and animal breeders because the genes that control it could be involved in buffering various environmental effects. Phenotypic variability of a given trait can be assessed by studying the heterogeneity of the residual variance, and the quantitative trait loci (QTL) that are involved in the control of this variability are described as variance QTL (vQTL). This study focuses on litter size (total number born, TNB) and its variability in a Large White pig population. The variability of TNB was evaluated either using a simple method, i.e. analysis of the log-transformed variance of residuals (LnVar), or the more complex double hierarchical generalized linear model (DHGLM). We also performed a single-SNP (single nucleotide polymorphism) genome-wide association study (GWAS). To our knowledge, this is only the second study that reports vQTL for litter size in pigs and the first one that shows GWAS results when using two methods to evaluate variability of TNB: LnVar and DHGLM., Results: Based on LnVar, three candidate vQTL regions were detected, on Sus scrofa chromosomes (SSC) 1, 7, and 18, which comprised 18 SNPs. Based on the DHGLM, three candidate vQTL regions were detected, i.e. two on SSC7 and one on SSC11, which comprised 32 SNPs. Only one candidate vQTL region overlapped between the two methods, on SSC7, which also contained the most significant SNP. Within this vQTL region, two candidate genes were identified, ADGRF1, which is involved in neurodevelopment of the brain, and ADGRF5, which is involved in the function of the respiratory system and in vascularization. The correlation between estimated breeding values based on the two methods was 0.86. Three-fold cross-validation indicated that DHGLM yielded EBV that were much more accurate and had better prediction of missing observations than LnVar., Conclusions: The results indicated that the LnVar and DHGLM methods resulted in genetically different traits. Based on their validation, we recommend the use of DHGLM over the simpler method of log-transformed variance of residuals. These conclusions can be useful for future studies on the evaluation of the variability of any trait in any species., (© 2021. The Author(s).)
- Published
- 2022
- Full Text
- View/download PDF
44. Allergy: Type I, II, III, and IV.
- Author
-
Knol EF and Gilles S
- Subjects
- Humans, Hypersensitivity diagnosis, Hypersensitivity etiology
- Abstract
Hypersensitivity reactions are overreactions of the immune system clinically seen as allergic and autoimmune diseases. Gell and Coombs originally described four different types of hypersensitivity reactions almost 60 years ago, and their description still applies in large parts. However, some modifications and extensions have been included in original definition. Especially in allergic diseases, it became clear that often, multiple types of hypersensitivity reaction can occur simultaneously. This improved insight is not only important for a better understanding of hypersensitivity disorders, but is especially of importance for improved diagnostics and directing therapeutic interventions., (© 2021. Springer Nature Switzerland AG.)
- Published
- 2022
- Full Text
- View/download PDF
45. Relationship between indirect genetic effects for growth, environmental enrichment, coping style and sex with the serum metabolome profile of pigs.
- Author
-
Dervishi E, Reimert I, van der Zande LE, Mathur P, Knol EF, and Plastow GS
- Subjects
- Animals, Female, Housing, Animal, Magnetic Resonance Spectroscopy, Male, Orchiectomy, Selective Breeding, Swine, Adaptation, Psychological, Glycine blood, Metabolomics methods, Serine blood, Threonine blood
- Abstract
Including Indirect Genetic Effects (IGE) in breeding programs to reduce aggression in group housed animals has been proposed. However, the effect of selection for IGE for growth on animal metabolism and physiology is unknown. The purpose of this study was twofold: (1) To investigate the effects of this new breeding method along with two housing (barren and straw), coping style (high and low resisters) and sex (female and castrated males) options on the metabolome profile of pigs. (2) To identify and map biological processes associated with a regrouping test at 9 weeks of age. We used Nuclear Magnetic Resonance to quantify 49 serum metabolites at week 8, 9 and 22. Also, we quantified 3 catecholamines (tyramine, epinephrine, phenylethylamine) and serotonin and three water soluble vitamins (B2, B5 and B7). Overall, no significant differences were observed between negative and positive IGE animals. The magnitude of change (delta) of many metabolites as a response to the regrouping test was significantly affected by IGE, especially that of the amino acids (P < 0.05), being greater in positive IGE pigs. The regrouping test was associated with alteration in glycine, serine and threonine metabolism. In conclusion positive and negative IGE animals respond differently to the regrouping test., (© 2021. The Author(s).)
- Published
- 2021
- Full Text
- View/download PDF
46. COVID-19 pandemic and allergen immunotherapy-an EAACI survey.
- Author
-
Pfaar O, Agache I, Bonini M, Brough HA, Chivato T, Del Giacco SR, Gawlik R, Gelincik A, Hoffmann-Sommergruber K, Jutel M, Klimek L, Knol EF, Lauerma A, Ollert M, O'Mahony L, Mortz CG, Palomares O, Riggioni C, Schwarze J, Skypala I, Torres MJ, Untersmayr E, Walusiak-Skorupa J, Chaker A, Giovannini M, Heffler E, Jensen-Jarolim E, Quecchia C, Sandoval-Ruballos M, Sahiner U, Tomić Spirić V, and Alvaro-Lozano M
- Subjects
- Desensitization, Immunologic, Humans, Retrospective Studies, SARS-CoV-2, Surveys and Questionnaires, COVID-19, Pandemics
- Abstract
Background: As in many fields of medical care, the coronavirus disease 2019 (COVID-19) resulted in an increased uncertainty regarding the safety of allergen immunotherapy (AIT). Therefore, the European Academy of Allergy and Clinical Immunology (EAACI) aimed to analyze the situation in different countries and to systematically collect all information available regarding tolerability and possible amendments in daily practice of sublingual AIT (SLIT), subcutaneous AIT (SCIT) for inhalant allergies and venom AIT., Methods: Under the framework of the EAACI, a panel of experts in the field of AIT coordinated by the Immunotherapy Interest Group set-up a web-based retrospective survey (SurveyMonkey
® ) including 27 standardized questions on practical and safety aspects on AIT in worldwide clinical routine., Results: 417 respondents providing AIT to their patients in daily routine answered the survey. For patients (without any current symptoms to suspect COVID-19), 60% of the respondents informed of not having initiated SCIT (40% venom AIT, 35% SLIT) whereas for the maintenance phase of AIT, SCIT was performed by 75% of the respondents (74% venom AIT, 89% SLIT). No tolerability concern arises from this preliminary analysis. 16 physicians reported having performed AIT despite (early) symptoms of COVID-19 and/or a positive test result for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)., Conclusions: This first international retrospective survey in atopic diseases investigated practical aspects and tolerability of AIT during the COVID-19 pandemic and gave no concerns regarding reduced tolerability under real-life circumstances. However, the data indicate an undertreatment of AIT, which may be temporary, but could have a long-lasting negative impact on the clinical care of allergic patients., (© 2021 The Authors. Allergy published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.)- Published
- 2021
- Full Text
- View/download PDF
47. Seeking diagnostic and prognostic biomarkers for childhood bacterial pneumonia in sub-Saharan Africa: study protocol for an observational study.
- Author
-
Valim C, Olatunji YA, Isa YS, Salaudeen R, Golam S, Knol EF, Kanyi S, Jammeh A, Bassat Q, de Jager W, Diaz AA, Wiegand RC, Ramirez J, Moses MA, D'Alessandro U, Hibberd PL, and Mackenzie GA
- Subjects
- Africa South of the Sahara, Anti-Bacterial Agents therapeutic use, Biomarkers, Child, Humans, Observational Studies as Topic, Prognosis, Pneumonia, Bacterial diagnosis, Pneumonia, Bacterial drug therapy
- Abstract
Introduction: Clinically diagnosed pneumonia in children is a leading cause of paediatric hospitalisation and mortality. The aetiology is usually bacterial or viral, but malaria can cause a syndrome indistinguishable from clinical pneumonia. There is no method with high sensitivity to detect a bacterial infection in these patients and, as result, antibiotics are frequently overprescribed. Conversely, unrecognised concomitant bacterial infection in patients with malarial infections occur with omission of antibiotic therapy from patients with bacterial infections. Previously, we identified two combinations of blood proteins with 96% sensitivity and 86% specificity for detecting bacterial disease. The current project aimed to validate and improve these combinations by evaluating additional biomarkers in paediatric patients with clinical pneumonia. Our goal was to describe combinations of a limited number of proteins with high sensitivity and specificity for bacterial infection to be incorporated in future point-of-care tests. Furthermore, we seek to explore signatures to prognosticate clinical pneumonia., Methods and Analysis: Patients (n=900) aged 2-59 months presenting with clinical pneumonia at two Gambian hospitals will be enrolled and classified according to criteria for definitive bacterial aetiology (based on microbiological tests and chest radiographs). We will measure proteins at admission using Luminex-based immunoassays in 90 children with definitive and 160 with probable bacterial aetiology, and 160 children classified according to the prognosis of their disease. Previously identified diagnostic signatures will be assessed through accuracy measures. Moreover, we will seek new diagnostic and prognostic signatures through machine learning methods, including support vector machine, penalised regression and classification trees., Ethics and Dissemination: Ethics approval has been obtained from the Gambia Government/Medical Research Council Unit The Gambia Joint Ethics Committee (protocol 1616) and the institutional review board of Boston University Medical Centre (STUDY00000958). Study results will be disseminated to the staff of the study hospitals, in scientific seminars and meetings, and in publications., Trial Registration Number: H-38462., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.)
- Published
- 2021
- Full Text
- View/download PDF
48. Investigating pig survival in different production phases using genomic models.
- Author
-
Leite NG, Knol EF, Garcia ALS, Lopes MS, Zak L, Tsuruta S, Silva FFE, and Lourenco D
- Subjects
- Animals, Female, Genomics, Genotype, Pedigree, Phenotype, Swine genetics, Genome, Models, Genetic
- Abstract
Pig survival is an economically important trait with relevant social welfare implications, thus standing out as an important selection criterion for the current pig farming system. We aimed to estimate (co)variance components for survival in different production phases in a crossbred pig population as well as to investigate the benefit of including genomic information through single-step genomic best linear unbiased prediction (ssGBLUP) on the prediction accuracy of survival traits compared with results from traditional BLUP. Individual survival records on, at most, 64,894 crossbred piglets were evaluated under two multi-trait threshold models. The first model included farrowing, lactation, and combined postweaning survival, whereas the second model included nursery and finishing survival. Direct and maternal breeding values were estimated using BLUP and ssGBLUP methods. Furthermore, prediction accuracy, bias, and dispersion were accessed using the linear regression validation method. Direct heritability estimates for survival in all studied phases were low (from 0.02 to 0.08). Survival in preweaning phases (farrowing and lactation) was controlled by the dam and piglet additive genetic effects, although the maternal side was more important. Postweaning phases (nursery, finishing, and the combination of both) showed the same or higher direct heritabilities compared with preweaning phases. The genetic correlations between survival traits within preweaning and postweaning phases were favorable and strong, but correlations between preweaning and postweaning phases were moderate. The prediction accuracy of survival traits was low, although it increased by including genomic information through ssGBLUP compared with the prediction accuracy from BLUP. Direct and maternal breeding values were similarly accurate with BLUP, but direct breeding values benefited more from genomic information. Overall, a slight increase in bias was observed when genomic information was included, whereas dispersion of breeding values was greatly reduced. Combined postweaning survival presented higher direct heritability than in the preweaning phases and the highest prediction accuracy among all evaluated production phases, therefore standing out as a candidate trait for improving survival. Survival is a complex trait with low heritability; however, important genetic gains can still be obtained, especially under a genomic prediction framework., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society of Animal Science.)
- Published
- 2021
- Full Text
- View/download PDF
49. Systemic and local evidence for complement involvement in chronic spontaneous urticaria.
- Author
-
Alizadeh Aghdam M, van den Elzen M, van Os-Medendorp H, van Dijk MR, Knol EF, Knulst AC, Röckmann H, and Otten HG
- Abstract
Background: The pathogenesis of chronic spontaneous urticaria (CSU), including the mechanism of action of omalizumab, remain unclear. We hypothesized complement system involvement given the often fast clinical response induced by treatment, including omalizumab. Therefore, we assessed the role of various complement factors surrounding omalizumab treatment., Methods: Thirty CSU patients (median age 42 [range 21-70]; 73 % female) with a median once daily Urticaria Activity Score over 7 days (UAS7) score at baseline of 31.5 points were enrolled. Treatment consisted of six administrations of 300 mg omalizumab every 4 weeks succeeded by a follow-up period of 12 weeks. Four punch skin biopsies were taken per patient; at baseline from lesional skin, at baseline from nonlesional skin, and after 1 and 7 days from formerly lesional skin. Complement activity, including C1q, C3, C3bc/C3, C4, C4bc/C4, C5a, and Membrane Attack Complex in peripheral blood were analyzed and complement activation in the skin was determined by the analysis of C4d deposition. Results were related to the clinical response to omalizumab., Results: Fifteen patients showed a UAS7 score of 6 or lower (median 0) at Week 24, 15 patients did not (median 16). Lesional skin biopsies at baseline revealed complement deposition (C4d) in blood vessels in the papillary dermis of 53% (16/30) of the patients, which suggests involvement of immune complexes in the pathogenesis of urticaria. Moreover, indication of increased complement activation in CSU was substantiated by increased C5a levels in peripheral blood compared to healthy controls ( p = 0.010). The clinical effect of omalizumab could not be linked to the variation of complement components., Conclusions: Both C4d deposition in lesional skin and elevated C5a levels in peripheral blood indicate the involvement of complement activation in the pathogenesis of CSU. No correlation was found between omalizumab and activation of complement indicative of independent processes in the immunopathogenesis of CSU., Competing Interests: Mignon van den Elzen received reimbursements to attend symposia and speaker's fees from Novartis Pharma B.V. to the institution. André C. Knulst received funds for research and healthcare innovation from Novartis Pharma B.V. to the institution and was involved in the advisory board of Novartis Pharma B.V. Heike Röckmann received speaker's fees, and funds for research from Novartis Pharma B.V. to the institution. Henny G. Otten received funds for this research from Novartis Pharma B.V. to the institution. The other authors declare that there are no conflict of interests., (© 2021 The Authors. Clinical and Translational Allergy published by John Wiley & Sons Ltd on behalf of European Academy of Allergy and Clinical Immunology.)
- Published
- 2021
- Full Text
- View/download PDF
50. Applying an association weight matrix in weighted genomic prediction of boar taint compounds.
- Author
-
Botelho ME, Lopes MS, Mathur PK, Knol EF, Guimarães SEF, Marques DBD, Lopes PS, Silva FF, and Veroneze R
- Subjects
- Animals, Genome, Genome-Wide Association Study veterinary, Genomics, Male, Phenotype, Skatole, Swine genetics
- Abstract
Biological information regarding markers and gene association may be used to attribute different weights for single nucleotide polymorphism (SNP) in genome-wide selection. Therefore, we aimed to evaluate the predictive ability and the bias of genomic prediction using models that allow SNP weighting in the genomic relationship matrix (G) building, with and without incorporating biological information to obtain the weights. Firstly, we performed a genome-wide association studies (GWAS) in data set containing single- (SL) or a multi-line (ML) pig population for androstenone, skatole and indole levels. Secondly, 1%, 2%, 5%, 10%, 30% and 50% of the markers explaining the highest proportions of the genetic variance for each trait were selected to build gene networks through the association weight matrix (AWM) approach. The number of edges in the network was computed and used to derive weights for G (AWM-WssGBLUP). The single-step GBLUP (ssGBLUP) and weighted ssGBLUP (WssGBLUP) were used as standard scenarios. All scenarios presented predictive abilities different from zero; however, the great overlap in their confidences interval suggests no differences among scenarios. Most of scenarios of based on AWM provide overestimations for skatole in both SL and ML populations. On the other hand, the skatole and indole prediction were no biased in the ssGBLUP (S1) in both SL and ML populations. Most of scenarios based on AWM provide no biased predictions for indole in both SL and ML populations. In summary, using biological information through AWM matrix and gene networks to derive weights for genomic prediction resulted in no increase in predictive ability for boar taint compounds. In addition, this approach increased the number of analyses steps. Thus, we can conclude that ssGBLUP is most appropriate for the analysis of boar taint compounds in comparison with the weighted strategies used in the present work., (© 2020 Wiley-VCH GmbH.)
- Published
- 2021
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.