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201. Traffic density exposure and metabolomics in a population-based sample: The HORTEGA Study

Author

Sanchez, Larua, primary, Galvez-Fernandez, Marta, additional, Saez, Guillermo, additional, Gonzalez-Marrachelli4, Vannina, additional, Garcia-Barrera, Tamara, additional, Gomez-Ariza, Jose, additional, Tellez-Plaza, Maria, additional, Martin-Escudero, Juan C., additional, Redon, Josep, additional, Monleon, Daniel, additional, and Ramis, Rebeca, additional

Published
2022
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203. Differential association of metabolomic patterns with bone mineral density and fractures by metal exposure biomarker levels in The Hortega Study

Author

Galvez-Fernandez, Marta, primary, Rodriguez-Hernandez, Zulema, additional, Grau-Perez, Maria, additional, Garcia-Barrera, Tamara, additional, Gomez-Ariza, Jose L., additional, Chaves, F.Javier, additional, Monleon, Daniel, additional, Tellez-Plaza, Maria, additional, Redon, Josep, additional, and Martin-Escudero, Juan C., additional

Published
2022
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204. Arsenic Exposure, Blood DNA Methylation and Cardiovascular Disease

Author

Domingo, Arce, primary, Makhani, Kiran, additional, Riffo-Campos, Angela, additional, Tellez-Plaza, Maria, additional, Oros Klein, Kathleen, additional, Subedi, Pooja, additional, Zhao, Jinying, additional, Moon, Katherine, additional, Bozack, Anne, additional, Haack, Karin, additional, Goessler, Walter, additional, Umans, Jason, additional, Best, Lyle, additional, Zhang, Ying, additional, Herreros, Miguel, additional, Glabonjat, Ronald, additional, Schilling, Kathrin, additional, Galvez-Fernandez, Marta, additional, Taylor, Kent, additional, Johnson, Craig, additional, Durda, Peter, additional, Tracy, Russell, additional, Rotter, Jerome, additional, Rich, Stephen, additional, Van den Berg, David, additional, Kasela, Silva, additional, Kent, Jack, additional, Sanchez, Tiffany, additional, Lappalainen, Tuuli, additional, Lohman, Kurt, additional, Liu, Yongmei, additional, Fallin, Daniele, additional, Cole, Shelley, additional, Mann, Koren, additional, and Navas-Acien, Ana, additional

Published
2022
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205. Frequent productive cough: Symptom burden and future exacerbation risk among patients with asthma and/or COPD in the NOVELTY study

Author

Hughes, Rod, primary, Rapsomaniki, Eleni, additional, Janson, Christer, additional, Keen, Christina, additional, Make, Barry J., additional, Burgel, Pierre-Régis, additional, Tomaszewski, Erin L., additional, Müllerová, Hana, additional, Reddel, Helen K., additional, Benhabib, Gabriel, additional, Ruiz, Xavier Bocca, additional, Olmo, Ricardo del, additional, Lisanti, Raul Eduardo, additional, Marino, Gustavo, additional, Mattarucco, Walter, additional, Nogueira, Juan, additional, Parody, Maria, additional, Pascale, Pablo, additional, Rodriguez, Pablo, additional, Silva, Damian, additional, Svetliza, Graciela, additional, Victorio, Carlos F., additional, Rolon, Roxana Willigs, additional, Yañez, Anahi, additional, Baines, Stuart, additional, Bowler, Simon, additional, Bremner, Peter, additional, Bull, Sheetal, additional, Carroll, Patrick, additional, Chaalan, Mariam, additional, Farah, Claude, additional, Hammerschlag, Gary, additional, Hancock, Kerry, additional, Harrington, Zinta, additional, Katsoulotos, Gregory, additional, Kim, Joshua, additional, Langton, David, additional, Lee, Donald, additional, Peters, Matthew, additional, Prassad, Lakshman, additional, Reddel, Helen, additional, Sajkov, Dimitar, additional, Santiago, Francis, additional, Simpson, Frederick Graham, additional, Tai, Sze, additional, Thomas, Paul, additional, Wark, Peter, additional, Delfini Cançado, José Eduardo, additional, Cunha, Thúlio, additional, Lima, Marina, additional, Cardoso, Alexandre Pinto, additional, Rabahi, Marcelo, additional, Anees, Syed, additional, Bertley, John, additional, Bell, Alan, additional, Cheema, Amarjit, additional, Chouinard, Guy, additional, Csanadi, Michael, additional, Dhar, Anil, additional, Dhillon, Ripple, additional, FitzGerald, J. Mark, additional, Kanawaty, David, additional, Kelly, Allan, additional, Killorn, William, additional, Landry, Daniel, additional, Luton, Robert, additional, Mandhane, Piushkumar, additional, McIvor, Andrew, additional, Pek, Bonavuth, additional, Petrella, Robert, additional, Stollery, Daniel, additional, Chen, Meihua, additional, Chen, Yan, additional, Gu, Wei, additional, Christopher Hui, Kim Ming, additional, Li, Manxiang, additional, Li, Shiyue, additional, Lijun, Ma, additional, Qin, Guangyue, additional, Song, Weidong, additional, Tan, Wei, additional, Tang, Yijun, additional, Wang, Chen, additional, Wang, Tan, additional, Wen, Fuqiang, additional, Wu, Feng, additional, Xiang, PingChao, additional, Xiao, Zuke, additional, Xiong, Shengdao, additional, Yang, Jinghua, additional, Yang, Jingping, additional, Zhang, Caiqing, additional, Zhang, Min, additional, Zhang, Ping, additional, Zhang, Wei, additional, Zheng, Xiaohe, additional, Zhu, Dan, additional, Grimaldos, Fabio Bolivar, additional, Arboleda, Alejandra Cañas, additional, Bueno, Carlos Matiz, additional, Molina de Salazar, Dora, additional, Bendstrup, Elisabeth, additional, Hilberg, Ole, additional, Kjellerup, Carsten, additional, Weinreich, Ulla, additional, Bonniaud, Philippe, additional, Brun, Olivier, additional, Chouaid, Christos, additional, Couturaud, Francis, additional, de Blic, Jacques, additional, Debieuvre, Didier, additional, Delsart, Dominique, additional, Demaegdt, Axelle, additional, Demoly, Pascal, additional, Deschildre, Antoine, additional, Devouassoux, Gilles, additional, Egron, Carole, additional, Falchero, Lionel, additional, Goupil, François, additional, Kessler, Romain, additional, Le Roux, Pascal, additional, Mabire, Pascal, additional, Mahay, Guillaume, additional, Martinez, Stéphanie, additional, Melloni, Boris, additional, Moreau, Laurent, additional, Raherison, Chantal, additional, Riviere, Emilie, additional, Roux-Claudé, Pauline, additional, Soulier, Michel, additional, Vignal, Guillaume, additional, Yaici, Azzedine, additional, Aries, Sven Philip, additional, Bals, Robert, additional, Beck, Ekkehard, additional, Deimling, Andreas, additional, Feimer, Jan, additional, Grimm-Sachs, Vera, additional, Groth, Gesine, additional, Herth, Felix, additional, Hoheisel, Gerhard, additional, Kanniess, Frank, additional, Lienert, Thomas, additional, Mronga, Silke, additional, Reinhardt, Jörg, additional, Schlenska, Christian, additional, Stolpe, Christoph, additional, Teber, Ishak, additional, Timmermann, Hartmut, additional, Ulrich, Thomas, additional, Velling, Peter, additional, Wehgartner-Winkler, Sabina, additional, Welling, Juergen, additional, Winkelmann, Ernst-Joachim, additional, Barbetta, Carlo, additional, Braido, Fulvio, additional, Cardaci, Vittorio, additional, Clini, Enrico Maria, additional, Costantino, Maria Teresa, additional, Cuttitta, Giuseppina, additional, di Gioacchino, Mario, additional, Fois, Alessandro, additional, Foschino-Barbaro, Maria Pia, additional, Gammeri, Enrico, additional, Inchingolo, Riccardo, additional, Lavorini, Federico, additional, Molino, Antonio, additional, Nucera, Eleonora, additional, Papi, Alberto, additional, Patella, Vincenzo, additional, Pesci, Alberto, additional, Ricciardolo, Fabio, additional, Rogliani, Paola, additional, Sarzani, Riccardo, additional, Vancheri, Carlo, additional, Vincenti, Rigoletta, additional, Endo, Takeo, additional, Fujita, Masaki, additional, Hara, Yu, additional, Horiguchi, Takahiko, additional, Hosoi, Keita, additional, Ide, Yumiko, additional, Inomata, Minehiko, additional, Inoue, Hiromasa, additional, Inoue, Koji, additional, Inoue, Sumito, additional, Kato, Motokazu, additional, Kawasaki, Masayuki, additional, Kawayama, Tomotaka, additional, Kita, Toshiyuki, additional, Kobayashi, Kanako, additional, Koto, Hiroshi, additional, Nishi, Koichi, additional, Saito, Junpei, additional, Shimizu, Yasuo, additional, Shirai, Toshihiro, additional, Sugihara, Naruhiko, additional, Takahashi, Ken-ichi, additional, Tashimo, Hiroyuki, additional, Tomii, Keisuke, additional, Yamada, Takashi, additional, Yanai, Masaru, additional, Javier, Ruth Cerino, additional, Peregrina, Alfredo Domínguez, additional, Corzo, Marco Fernández, additional, Gonzalez, Efraín Montano, additional, Ramírez-Venegas, Alejandra, additional, Rendon, Adrian, additional, Boersma, Willem, additional, Djamin, R.S., additional, Eijsvogel, Michiel, additional, Franssen, Frits, additional, Goosens, Martijn, additional, Graat-Verboom, Lidwien, additional, Veen, Johannes in 't, additional, Janssen, Rob, additional, Kuppens, Kim, additional, van den Berge, Maarten, additional, van de Ven, Mario, additional, Brunstad, Ole Petter, additional, Einvik, Gunnar, additional, Høines, Kristian Jong, additional, Khusrawi, Alamdar, additional, Oien, Torbjorn, additional, Chang, Yoon-Seok, additional, Cho, Young Joo, additional, Hwang, Yong Il, additional, Kim, Woo Jin, additional, Koh, Young-Il, additional, Lee, Byung-Jae, additional, Lee, Kwan-Ho, additional, Lee, Sang-Pyo, additional, Lee, Yong Chul, additional, Lim, Seong Yong, additional, Min, Kyung Hun, additional, Oh, Yeon-Mok, additional, Park, Choon-Sik, additional, Park, Hae-Sim, additional, Park, Heung-Woo, additional, Rhee, Chin Kook, additional, Yoon, Ho Joo, additional, Yoon, Hyoung-Kyu, additional, García-Navarro, Alvar Agusti, additional, Andújar, Rubén, additional, Anoro, Laura, additional, García, María Buendía, additional, Mozo, Paloma Campo, additional, Campos, Sergio, additional, Maldonado, Francisco Casas, additional, Martínez, Manuel Castilla, additional, Serrano, Carolina Cisneros, additional, Casanova, Lorena Comeche, additional, Corbacho, Dolores, additional, Del Campo Matías, Felix, additional, Echave-Sustaeta, Jose, additional, Corral, Gloria Francisco, additional, Setién, Pedro Gamboa, additional, Clemente, Marta García, additional, Núñez, Ignacio García, additional, Robaina, Jose García, additional, Salmones, Mercedes García, additional, Marín Trigo, Jose Maria, additional, Fernandez, Marta Nuñez, additional, Palomo, Sara Nuñez, additional, Rivera, José Olaguibel, additional, Pérez de Llano, Luis, additional, Bastida, Ana Pueyo, additional, Rañó, Ana, additional, González-Moro, José Rodríguez, additional, Reig, Albert Roger, additional, Garrido, José Velasco, additional, Curiac, Dan, additional, Lif-Tiberg, Cornelia, additional, Luts, Anders, additional, Råhlen, Lennart, additional, Rustscheff, Stefan, additional, Adams, Frances, additional, Bradman, Drew, additional, Broughton, Emma, additional, Cosgrove, John, additional, Flood-Page, Patrick, additional, Fuller, Elizabeth, additional, Harrison, Timothy, additional, Hartley, David, additional, Hattotuwa, Keith, additional, Jones, Gareth, additional, Lewis, Keir, additional, McGarvey, Lorcan, additional, Morice, Alyn, additional, Pandya, Preeti, additional, Patel, Manish, additional, Roy, Kay, additional, Sathyamurthy, Ramamurthy, additional, Thiagarajan, Swaminathan, additional, Turner, Alice, additional, Vestbo, Jorgen, additional, Wedzicha, Wisia, additional, Wilkinson, Tom, additional, Wilson, Pete, additional, Al-Asadi, Lo’Ay, additional, Anholm, James, additional, Averill, Frank, additional, Bansal, Sandeep, additional, Baptist, Alan, additional, Campbell, Colin, additional, Campos, Michael A., additional, Chipps, Bradley, additional, Crook, Gretchen, additional, DeLeon, Samuel, additional, Eid, Alain, additional, Epstein, Ellen, additional, Fritz, Stephen, additional, Harris, Hoadley, additional, Hewitt, Mitzie, additional, Holguin, Fernando, additional, Hudes, Golda, additional, Jackson, Richard, additional, Kaufman, Alan, additional, Kaufman, David, additional, Klapholz, Ari, additional, Krishna, Harshavardhan, additional, Lee, Daria, additional, Lin, Robert, additional, Maselli-Caceres, Diego, additional, Mehta, Vinay, additional, Moy, James N., additional, Nwokoro, Ugo, additional, Parikh, Purvi, additional, Parikh, Sudhir, additional, Perrino, Frank, additional, Ruhlmann, James, additional, Sassoon, Catherine, additional, Settipane, Russell A., additional, Sousa, Daniel, additional, Sriram, Peruvemba, additional, and Wachs, Richard, additional

Published
2022
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206. The burden of mild asthma: Clinical burden and healthcare resource utilisation in the NOVELTY study

Author

Golam, Sarowar Muhammad, primary, Janson, Christer, additional, Beasley, Richard, additional, FitzGerald, J Mark, additional, Harrison, Tim, additional, Chipps, Bradley, additional, Hughes, Rod, additional, Müllerová, Hana, additional, Olaguibel, José María, additional, Rapsomaniki, Eleni, additional, Reddel, Helen K., additional, Sadatsafavi, Mohsen, additional, Benhabib, Gabriel, additional, Mandhane, Piushkumar, additional, Ruiz, Xavier Bocca, additional, McIvor, Andrew, additional, Olmo, Ricardo del, additional, Pek, Bonavuth, additional, Lisanti, Raul Eduardo, additional, Petrella, Robert, additional, Marino, Gustavo, additional, Stollery, Daniel, additional, Mattarucco, Walter, additional, Chen, Meihua, additional, Nogueira, Juan, additional, Chen, Yan, additional, Parody, Maria, additional, Gu, Wei, additional, Pascale, Pablo, additional, Hui, Kim Ming Christopher, additional, Rodriguez, Pablo, additional, Li, Manxiang, additional, Silva, Damian, additional, Li, Shiyue, additional, Svetliza, Graciela, additional, Ma, Lijun, additional, Victorio, Carlos F., additional, Qin, Guangyue, additional, Rolon, Roxana Willigs, additional, Song, Weidong, additional, Yañez, Anahi, additional, Tan, Wei, additional, Baines, Stuart, additional, Tang, Yijun, additional, Bowler, Simon, additional, Wang, Chen, additional, Bremner, Peter, additional, Wang, Tan, additional, Bull, Sheetal, additional, Wen, Fuqiang, additional, Carroll, Patrick, additional, Wu, Feng, additional, Chaalan, Mariam, additional, Xiang, PingChao, additional, Farah, Claude, additional, Xiao, Zuke, additional, Hammerschlag, Gary, additional, Xiong, Shengdao, additional, Hancock, Kerry, additional, Yang, Jinghua, additional, Harrington, Zinta, additional, Yang, Jingping, additional, Katsoulotos, Gregory, additional, Zhang, Caiqing, additional, Kim, Joshua, additional, Zhang, Min, additional, Langton, David, additional, Zhang, Ping, additional, Lee, Donald, additional, Zhang, Wei, additional, Peters, Matthew, additional, Zheng, Xiaohe, additional, Prassad, Lakshman, additional, Zhu, Dan, additional, Reddel, Helen, additional, Bolivar Grimaldos, Fabio, additional, Sajkov, Dimitar, additional, Arboleda, Alejandra Cañas, additional, Santiago, Francis, additional, Bueno, Carlos Matiz, additional, Simpson, Frederick Graham, additional, Molina de Salazar, Dora, additional, Tai, Sze, additional, Bendstrup, Elisabeth, additional, Thomas, Paul, additional, Hilberg, Ole, additional, Wark, Peter, additional, Kjellerup, Carsten, additional, Cançado, José Eduardo Delfini, additional, Weinreich, Ulla, additional, Cunha, Thúlio, additional, Bonniaud, Philippe, additional, Lima, Marina, additional, Brun, Olivier, additional, Cardoso, Alexandre Pinto, additional, Burgel, Pierre-Régis, additional, Rabahi, Marcelo, additional, Chouaid, Christos, additional, Anees, Syed, additional, Couturaud, Francis, additional, Bertley, John, additional, de Blic, Jacques, additional, Bell, Alan, additional, Debieuvre, Didier, additional, Cheema, Amarjit, additional, Delsart, Dominique, additional, Chouinard, Guy, additional, Demaegdt, Axelle, additional, Csanadi, Michael, additional, Demoly, Pascal, additional, Dhar, Anil, additional, Deschildre, Antoine, additional, Dhillon, Ripple, additional, Devouassoux, Gilles, additional, FitzGerald, J. Mark, additional, Egron, Carole, additional, Kanawaty, David, additional, Falchero, Lionel, additional, Kelly, Allan, additional, Goupil, François, additional, Killorn, William, additional, Kessler, Romain, additional, Landry, Daniel, additional, Le Roux, Pascal, additional, Luton, Robert, additional, Mabire, Pascal, additional, Mahay, Guillaume, additional, Ide, Yumiko, additional, Martinez, Stéphanie, additional, Inomata, Minehiko, additional, Melloni, Boris, additional, Inoue, Hiromasa, additional, Moreau, Laurent, additional, Inoue, Koji, additional, Raherison, Chantal, additional, Inoue, Sumito, additional, Riviere, Emilie, additional, Kato, Motokazu, additional, Roux-Claudé, Pauline, additional, Kawasaki, Masayuki, additional, Soulier, Michel, additional, Kawayama, Tomotaka, additional, Vignal, Guillaume, additional, Kita, Toshiyuki, additional, Yaici, Azzedine, additional, Kobayashi, Kanako, additional, Aries, Sven Philip, additional, Koto, Hiroshi, additional, Bals, Robert, additional, Nishi, Koichi, additional, Beck, Ekkehard, additional, Saito, Junpei, additional, Deimling, Andreas, additional, Shimizu, Yasuo, additional, Feimer, Jan, additional, Shirai, Toshihiro, additional, Grimm-Sachs, Vera, additional, Sugihara, Naruhiko, additional, Groth, Gesine, additional, Takahashi, Ken-ichi, additional, Herth, Felix, additional, Tashimo, Hiroyuki, additional, Hoheisel, Gerhard, additional, Tomii, Keisuke, additional, Kanniess, Frank, additional, Yamada, Takashi, additional, Lienert, Thomas, additional, Yanai, Masaru, additional, Mronga, Silke, additional, Javier, Ruth Cerino, additional, Reinhardt, Jörg, additional, Domínguez Peregrina, Alfredo, additional, Schlenska, Christian, additional, Corzo, Marco Fernández, additional, Stolpe, Christoph, additional, Montano Gonzalez, Efraín, additional, Teber, Ishak, additional, Ramírez-Venegas, Alejandra, additional, Timmermann, Hartmut, additional, Rendon, Adrian, additional, Ulrich, Thomas, additional, Boersma, Willem, additional, Velling, Peter, additional, Djamin, R.S., additional, Wehgartner-Winkler, Sabina, additional, Eijsvogel, Michiel, additional, Welling, Juergen, additional, Franssen, Frits, additional, Winkelmann, Ernst-Joachim, additional, Goosens, Martijn, additional, Barbetta, Carlo, additional, Graat-Verboom, Lidwien, additional, Braido, Fulvio, additional, Veen, Johannes in 't, additional, Cardaci, Vittorio, additional, Janssen, Rob, additional, Clini, Enrico Maria, additional, Kuppens, Kim, additional, Costantino, Maria Teresa, additional, van den Berge, Maarten, additional, Cuttitta, Giuseppina, additional, van de Ven, Mario, additional, di Gioacchino, Mario, additional, Brunstad, Ole Petter, additional, Fois, Alessandro, additional, Einvik, Gunnar, additional, Foschino-Barbaro, Maria Pia, additional, Høines, Kristian Jong, additional, Gammeri, Enrico, additional, Khusrawi, Alamdar, additional, Inchingolo, Riccardo, additional, Oien, Torbjorn, additional, Lavorini, Federico, additional, Chang, Yoon-Seok, additional, Molino, Antonio, additional, Cho, Young Joo, additional, Nucera, Eleonora, additional, Hwang, Yong Il, additional, Papi, Alberto, additional, Kim, Woo Jin, additional, Patella, Vincenzo, additional, Koh, Young-Il, additional, Pesci, Alberto, additional, Lee, Byung-Jae, additional, Ricciardolo, Fabio, additional, Lee, Kwan-Ho, additional, Rogliani, Paola, additional, Lee, Sang-Pyo, additional, Sarzani, Riccardo, additional, Lee, Yong Chul, additional, Vancheri, Carlo, additional, Lim, Seong Yong, additional, Vincenti, Rigoletta, additional, Min, Kyung Hun, additional, Endo, Takeo, additional, Oh, Yeon-Mok, additional, Fujita, Masaki, additional, Park, Choon-Sik, additional, Hara, Yu, additional, Park, Hae-Sim, additional, Horiguchi, Takahiko, additional, Park, Heung-Woo, additional, Hosoi, Keita, additional, Rhee, Chin Kook, additional, Yoon, Ho Joo, additional, Morice, Alyn, additional, Yoon, Hyoung-Kyu, additional, Pandya, Preeti, additional, García-Navarro, Alvar Agusti, additional, Patel, Manish, additional, Andújar, Rubén, additional, Roy, Kay, additional, Anoro, Laura, additional, Sathyamurthy, Ramamurthy, additional, García, María Buendía, additional, Thiagarajan, Swaminathan, additional, Mozo, Paloma Campo, additional, Turner, Alice, additional, Campos, Sergio, additional, Vestbo, Jorgen, additional, Maldonado, Francisco Casas, additional, Wedzicha, Wisia, additional, Castilla Martínez, Manuel, additional, Wilkinson, Tom, additional, Serrano, Carolina Cisneros, additional, Wilson, Pete, additional, Comeche Casanova, Lorena, additional, Al-Asadi, Lo’Ay, additional, Corbacho, Dolores, additional, Anholm, James, additional, Campo Matías, Felix Del, additional, Averill, Frank, additional, Echave-Sustaeta, Jose, additional, Bansal, Sandeep, additional, Corral, Gloria Francisco, additional, Baptist, Alan, additional, Gamboa Setién, Pedro, additional, Campbell, Colin, additional, García Clemente, Marta, additional, Campos, Michael A., additional, Núñez, Ignacio García, additional, Robaina, Jose García, additional, Crook, Gretchen, additional, García Salmones, Mercedes, additional, DeLeon, Samuel, additional, Marín Trigo, Jose Maria, additional, Eid, Alain, additional, Fernandez, Marta Nuñez, additional, Epstein, Ellen, additional, Palomo, Sara Nuñez, additional, Fritz, Stephen, additional, Olaguibel Rivera, José, additional, Harris, Hoadley, additional, de Llano, Luis Pérez, additional, Hewitt, Mitzie, additional, Pueyo Bastida, Ana, additional, Holguin, Fernando, additional, Rañó, Ana, additional, Hudes, Golda, additional, Rodríguez González-Moro, José, additional, Jackson, Richard, additional, Reig, Albert Roger, additional, Kaufman, Alan, additional, Velasco Garrido, José, additional, Kaufman, David, additional, Curiac, Dan, additional, Klapholz, Ari, additional, Krishna, Harshavardhan, additional, Lif-Tiberg, Cornelia, additional, Lee, Daria, additional, Luts, Anders, additional, Lin, Robert, additional, Råhlen, Lennart, additional, Maselli-Caceres, Diego, additional, Rustscheff, Stefan, additional, Mehta, Vinay, additional, Adams, Frances, additional, Moy, James N., additional, Bradman, Drew, additional, Nwokoro, Ugo, additional, Broughton, Emma, additional, Parikh, Purvi, additional, Cosgrove, John, additional, Parikh, Sudhir, additional, Flood-Page, Patrick, additional, Perrino, Frank, additional, Fuller, Elizabeth, additional, Ruhlmann, James, additional, Harrison, Timothy, additional, Sassoon, Catherine, additional, Hartley, David, additional, Settipane, Russell A., additional, Hattotuwa, Keith, additional, Sousa, Daniel, additional, Jones, Gareth, additional, Sriram, Peruvemba, additional, Lewis, Keir, additional, Wachs, Richard, additional, and McGarvey, Lorcan, additional

Published
2022
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208. Development and Validation of Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Monitoring (Preprint)

Author

Chenais, Gabrielle, primary, Gil-Jardiné, Cédric, additional, Touchais, Hélène, additional, Avalos Fernandez, Marta, additional, Contrand, Benjamin, additional, Tellier, Eric, additional, Combes, Xavier, additional, Bourdois, Loick, additional, Revel, Philippe, additional, and Lagarde, Emmanuel, additional

Published
2022
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213. Life Stories of Graduate Students in Chile and the United States: Becoming a Scientist from Childhood to Adulthood

Author

Silva Fernandez, Marta A.

Abstract

The purpose of this cross-national study was to gain a more comprehensive understanding about doctoral students in the United States and Chile and how their decisions to pursue a career in the life sciences field occurred throughout their lives. I interviewed 15 doctoral students from the Seven Lakes University (Chile) and 15 students from the West Coast University (US), using a life history approach. Analyses revealed that the degree of flexibility in the schooling system and the degree of individualism and collectivism of the social groups in which the students were learning science seemed to influence the informants' vocational decisions in three interrelated processes: (1) Deciding the informants' degree of interest and ability in science by the opportunity of choosing science classes and activities. The highly tracked Chilean system socializes students to science at an early age. The more flexible school system in the US enabled the interviewees to gradually decide about pursuing their interest in science; (2) Experiencing science as a collective learning process for the Chilean informants and an individualistic learning process for the US students; (3) Perceiving science differently at each life stage for both groups of interviewees including: Playing science, Studying science, Doing science, Working in science, Practicing Science in their doctoral programs. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]

Published
2013

214. Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients

Author

Almansa, Raquel, Martín, Silvia, Martin-Fernandez, Marta, Heredia-Rodríguez, María, Gómez-Sánchez, Esther, Aragón, Marta, Andrés, Cristina, Calvo, Dolores, Rico-Feijoo, Jesus, Esteban-Velasco, Maria Carmen, Vaquero-Roncero, Luis Mario, Ortega, Alicia, Gómez-Pesquera, Estefania, Lorenzo-López, Mario, de Cenarruzabeitia, Iñigo López, Benavides, Diana, López-Sanchez, Jaime, Doncel, Cristina, González-Sanchez, Carmen, Zarca, Esther, Ríos-Llorente, Alberto, Diaz, Agustín, Sanchez-Barrado, Elisa, de Heredia, Juan Beltran, Calvo-Vecino, Jose Maria, Muñoz-Bellvís, Luis, Gomez-Herreras, Jose Ignacio, Aldecoa, César, Tamayo, Eduardo, and Bermejo-Martin, Jesus F.

Published
2018
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215. Chitosan induces differential transcript usage of chitosanase 3 encoding gene (csn3) in the biocontrol fungus Pochonia chlamydosporia 123

Author

Universidad de Alicante. Departamento de Ciencias del Mar y Biología Aplicada, Sambles, Christine, Suarez-Fernandez, Marta, Lopez-Moya, Federico, Lopez-Llorca, Luis Vicente, Studholme, David J., Universidad de Alicante. Departamento de Ciencias del Mar y Biología Aplicada, Sambles, Christine, Suarez-Fernandez, Marta, Lopez-Moya, Federico, Lopez-Llorca, Luis Vicente, and Studholme, David J.

Abstract

Background: Pochonia chlamydosporia is an endophytic fungus used for nematode biocontrol that employs its cellular and molecular machinery to degrade the nematode egg-shell. Chitosanases, among other enzymes, are involved in this process. In this study, we improve the genome sequence assembly of P. chlamydosporia 123, by utilizing long Pacific Biosciences (PacBio) sequence reads. Combining this improved genome assembly with previous RNA-seq data revealed alternative isoforms of a chitosanase in the presence of chitosan. This study could open new insights into understanding fungal resistance to chitosan and root-knot nematode (RKN) egg infection processes. Results: The P. chlamydosporia 123 genome sequence assembly has been updated using long-read PacBio sequencing and now includes 12,810 predicted protein-coding genes. Compared with the previous assembly based on short reads, there are 701 newly annotated genes, and 69 previous genes are now split. Eight of the new genes were differentially expressed in fungus interactions with Meloidogyne javanica eggs or chitosan. A survey of the RNA-seq data revealed alternative splicing in the csn3 gene that encodes a chitosanase, with four putative splicing variants: csn3_v1, csn3_v2, csn3_v3 and csn3_v4. When P. chlamydosporia is treated with 0.1 mg·mL− 1 chitosan for 4 days, csn3 is expressed 10-fold compared with untreated controls. Furthermore, the relative abundances of each of the four transcripts are different in chitosan treatment compared with controls. In controls, the abundances of each transcript are nil, 32, 55, and 12% for isoforms csn3_v1, csn3_v2, csn3_v3 and csn3_v4 respectively. Conversely, in chitosan-treated P. chlamydosporia, the abundances are respectively 80, 15%, 2—3%, 2—3%. Since isoform csn3_v1 is expressed with chitosan only, the putatively encoded enzyme is probably induced and likely important for chitosan degradation. Conclusions: Alternative splicing events have been discovered and described in th

Published
2022

216. Chitosan and nematophagous fungi for sustainable management of nematode pests

Author

Universidad de Alicante. Departamento de Ciencias del Mar y Biología Aplicada, Lopez-Nuñez, Raquel, Suarez-Fernandez, Marta, Lopez-Moya, Federico, Lopez-Llorca, Luis Vicente, Universidad de Alicante. Departamento de Ciencias del Mar y Biología Aplicada, Lopez-Nuñez, Raquel, Suarez-Fernandez, Marta, Lopez-Moya, Federico, and Lopez-Llorca, Luis Vicente

Abstract

Plants are exposed to large number of threats caused by herbivores and pathogens which cause important losses on crops. Plant pathogens such as nematodes can cause severe damage and losses in food security crops worldwide. Chemical pesticides were extendedly used for nematode management. However, due to their adverse effects on human health and the environment, they are now facing strong limitations by regulatory organisations such as EFSA (European Food Safety Authority). Therefore, there is an urgent need for alternative and efficient control measures, such as biological control agents or bio-based plant protection compounds. In this scenario, chitosan, a non-toxic polymer obtained from seafood waste mainly, is becoming increasingly important. Chitosan is the N-deacetylated form of chitin. Chitosan is effective in the control of plant pests and diseases. It also induces plants defence mechanisms. Chitosan is also compatible with some biocontrol microorganisms mainly entomopathogenic and nematophagous fungi. Some of them are antagonists of nematode pests of plants and animals. The nematophagous biocontrol fungus Pochonia chlamydosporia has been widely studied for sustainable management of nematodes affecting economically important crops and for its capability to grow with chitosan as only nutrient source. This fungus infects nematode eggs using hyphal tips and appressoria. Pochonia chlamydosporia also colonizes plant roots endophytically, stimulating plant defences by induction of salicylic and jasmonic acid biosynthesis and favours plant growth and development. Therefore, the combined use of chitosan and nematophagous fungi could be a novel strategy for the biological control of nematodes and other root pathogens of food security crops.

Published
2022

219. Gene-environment interaction analysis of redox-related metals and genetic variants with plasma metabolic patterns in a general population from Spain: The Hortega Study

Author

Galvez-Fernandez, Marta, primary, Sanchez-Saez, Francisco, additional, Domingo-Relloso, Arce, additional, Rodriguez-Hernandez, Zulema, additional, Tarazona, Sonia, additional, Gonzalez-Marrachelli, Vannina, additional, Grau-Perez, Maria, additional, Morales-Tatay, Jose M., additional, Amigo, Nuria, additional, Garcia-Barrera, Tamara, additional, Gomez-Ariza, Jose L., additional, Chaves, F. Javier, additional, Garcia-Garcia, Ana Barbara, additional, Melero, Rebeca, additional, Tellez-Plaza, Maria, additional, Martin-Escudero, Juan C., additional, Redon, Josep, additional, and Monleon, Daniel, additional

Published
2022
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222. Concluding Remarks

Author

Ćulibrk, Dubravko, Vukobratovic, Dejan, Minic, Vladan, Fernandez, Marta Alonso, Osuna, Javier Alvarez, Crnojevic, Vladimir, Ćulibrk, Dubravko, Vukobratovic, Dejan, Minic, Vladan, Alonso Fernandez, Marta, Alvarez Osuna, Javier, and Crnojevic, Vladimir

Published
2014
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226. Analysis of Web-Based Tutorials Created by Academic Libraries

Author

Somoza-Fernandez, Marta and Abadal, Ernest

Abstract

This paper aims to analyse the characteristics of tutorials created by academic libraries. It evaluates a sample of 180 tutorials by applying thirty basic indicators referring to general characteristics, content, teaching methodology, usability and technology. The general conclusion is that most of the tutorials are at an early stage of development. (Contains 2 tables and 2 figures.)

Published
2009
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228. Noncoding RNAs in intraocular tumor patients

Author

Daniel Fernandez-Diaz, Beatriz Fernandez-Marta, Nerea Lago-Baameiro, Paula Silva-Rodríguez, Laura Paniagua, María José Blanco-Teijeiro, María Pardo, Antonio Piñeiro, and Manuel F. Bande

Published
2022

230. Additional file 1 of Healthy lifestyle, metabolomics and incident type 2 diabetes in a population-based cohort from Spain

Author

Delgado-Velandia, Mario, Gonzalez-Marrachelli, Vannina, Domingo-Relloso, Arce, Galvez-Fernandez, Marta, Grau-Perez, Maria, Olmedo, Pablo, Galan, I��aki, Rodriguez-Artalejo, Fernando, Amigo, Nuria, Briongos-Figuero, Laisa, Redon, Josep, Martin-Escudero, Juan Carlos, Monleon-Salvado, Daniel, Tellez-Plaza, Maria, and Sotos-Prieto, Mercedes

Abstract

Additional file 1. Additional findings that further support and/or give further detail to the main results.

Published
2022
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231. List of contributors

Author

Atiyeh Al-e-Ahmad, Najeeb Al-Hallak, Bayan Al-Share, Nikee Awasthee, Asfar S. Azmi, Manuel F. Bande, Pranjal K. Baruah, Tushar Singh Barwal, Sonali Bazala, María José Blanco-Teijeiro, Kishore B. Challagundla, Ravindresh Chhabra, Antoine David, Lusine Demirkhanyan, Manal S. Fawzy, Daniel Fernandez-Diaz, Beatriz Fernandez-Marta, David Garrick, Christopher S. Gondi, Michele Goodhardt, Angélique Gougelet, Bela Goyal, Małgorzata Grabowska, Amit Gupta, Subash C. Gupta, Sweety Gupta, Tarunima Gupta, Muhib Haidari, Aklank Jain, Mohammad Amin Kerachian, Ajay Kumar, Santosh Kumar, Nerea Lago-Baameiro, Julia O. Misiorek, Emadoddin Moudi, Masang Murmu, Nahid Neamati, Priyasha Neyol, Laura Paniagua, María Pardo, Hadi Parsian, Anup S. Pathania, Antonio Piñeiro, Philip Prathipati, Vipin Rai, Katarzyna Rolle, Julie Sanceau, Jessica A. Sedhom, Rachel Sexton, Anurag Sharma, Uttam Sharma, Anusmita Shekher, Paula Silva-Rodríguez, Ipsa Singh, Oghenetejiri V. Smith, Anteneh Tesfaye, Eman A. Toraih, Naveen Kumar Vishvakarma, Simin Younesi, Żaneta Zarębska, and Simone Zocchi

Published
2022

232. Identification of arterial hypertension patterns via machine learning

Author

Fernandez, Marta Duran, Santos Filho, José Cândido Silveira, 1979, Soares, Alexandre Anderson de Sousa Munhoz, Boccato, Levy, Universidade Estadual de Campinas. Faculdade de Engenharia Elétrica e de Computação, Programa de Pós-Graduação em Engenharia Elétrica, and UNIVERSIDADE ESTADUAL DE CAMPINAS

Subjects
Doenças cardiovasculares, Artificial intelligence, Mineração de dados (Computação), Algoritmo K-means, Aprendizado de máquina, Inteligência artificial, K-means algorithm, Artificial intelligence - Medical applications, Cardiovascular diseases, Hypertension, Machine learning, Inteligencia artificial - Aplicações médicas, Data mining, Hipertensão
Abstract

Orientador: José Cândido Silveira Santos Filho Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação Resumo: A hipertensão arterial é a principal causa de doenças cardiovasculares e, se não tratada, pode ser fator de risco de lesão de órgão-alvo, infarto, acidente vascular cerebral e outras doenças graves. Aferir a Pressão Arterial permite auxiliar no diagnóstico, prevenir situações de risco, monitorar predomínio populacional, controlar a doença e identificar fatores de risco associados à Hipertensão Arterial. Por meio da técnica de Monitorização Ambulatorial da Pressão Arterial (MAPA), é possível identificar a duração do efeito hipertensivo, apontar pacientes suspeitos e os fenômenos Whitecoat, Non-dipping e Morning Surge. Semelhante a outros segmentos da sociedade, a área médica também tem usufruído das técnicas de Inteligência Artificial na análise de grandes volumes de dados, transformando os métodos de diagnósticos e tratamentos, além de identificar potenciais ameaças à saúde pública. Considerando o cenário de gerenciamento de saúde populacional, onde se apura informações de um grande contexto populacional e objeto desta pesquisa, o uso de Aprendizado de Máquina – ramo da Inteligência Artificial -– se mostra adequado para inspeção de grandes volumes de dados, identificação de potenciais grupos de padrão, e formação de agrupamentos considerando que não há um rótulo explícito nos dados. A utilização do k-Means - algoritmo de clustering - no conjunto de dados de 21.137 pacientes permitiu a formação dos grupos, onde foram realizados estudos estatísticos descritivos para identificar características sociodemográficas. O algoritmo Random Forest também foi aplicado para identificar quais variáveis mais influenciaram o processo de classificação dos parâmetros Pressão Arterial Sistólica e Pressão Arterial Diastólica. Este estudo também ofereceu um pipeline analítico baseado em dados reais Abstract: Hypertension is the main cause of cardiovascular disease. If left untreated, it can be a risk factor for target organ damage, heart attacks, stroke and other serious diseases. Blood pressure measurement allows us to guide therapeutic approaches, monitor population predominance, and identify risk factors associated with Arterial Hypertension. The Ambulatory Blood Pressure Monitoring (ABPM) technique allows physicians to determine the duration of the hypertensive effect, identify suspicious patients, and recognize the Whitecoat, Non-dipping, and Morning Surge phenomena. Similarly to other segments of society, the medical field has also benefited from Artificial Intelligence techniques in analyzing large volumes of data. This has transformed diagnostic and treatment methods and allowed the identification of potential public health threatens. Considering the population health management scenario, where information from a large population is inspected, the use of Machine Learning – a branch of Artificial Intelligence – proves to be adequate to process large volumes of data, identify groups with similar patterns, and form clusters even though there was no explicit labels in the data. The application of k-Means - a clustering algorithm - in a dataset with 21.137 patients allowed the analysis of the results of each group, where studies were applied to identify sociodemographic characteristics. Random Forest - a Machine Learning classification technique - was also evaluated to identify which variables that most influence the classification process of parameters Systolic Blood Pressure and Diastolic Blood Pressure measures. This study also offered an analytical pipeline based on real data Mestrado Engenharia de Computação Mestra em Engenharia Elétrica CNPQ 130100/2020-0

Published
2022

233. Development and Validation of Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory

Author

Chenais, Gabrielle, Gil-Jardiné, Cédric, Touchais, Hélène, Avalos Fernandez, Marta, Contrand, Benjamin, Tellier, Eric, Combes, Xavier, Bourdois, Loick, Revel, Philippe, Lagarde, Emmanuel, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Bordeaux (UB), CHU Bordeaux [Bordeaux], Statistics In System biology and Translational Medicine (SISTM), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)- Bordeaux population health (BPH), and Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
[STAT.AP]Statistics [stat]/Applications [stat.AP], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [STAT.CO]Statistics [stat]/Computation [stat.CO], [STAT.ME]Statistics [stat]/Methodology [stat.ME]
Abstract

BACKGROUND In order to study the feasibility of setting up a national trauma observatory in France, OBJECTIVE we compared the performance of several automatic language processing methods on a multi-class classification task of unstructured clinical notes. METHODS A total of 69,110 free-text clinical notes related to visits to the emergency departments of the University Hospital of Bordeaux, France, between 2012 and 2019 were manually annotated. Among those clinical notes 22,481 were traumas. We trained 4 transformer models (deep learning models that encompass attention mechanism) and compared them with the TF-IDF (Term- Frequency - Inverse Document Frequency) associated with SVM (Support Vector Machine) method. RESULTS The transformer models consistently performed better than TF-IDF/SVM. Among the transformers, the GPTanam model pre-trained with a French corpus with an additional auto-supervised learning step on 306,368 unlabeled clinical notes showed the best performance with a micro F1-score of 0.969. CONCLUSIONS The transformers proved efficient multi-class classification task on narrative and medical data. Further steps for improvement should focus on abbreviations expansion and multiple outputs multi-class classification.

Published
2022

235. Autoimmunity in Down’s syndrome via cytokines, CD4 T cells and CD11c+ B cells.

Author

Malle, Louise, Patel, Roosheel S., Martin-Fernandez, Marta, Stewart, O Jay, Philippot, Quentin, Buta, Sofija, Richardson, Ashley, Barcessat, Vanessa, Taft, Justin, Bastard, Paul, Samuels, Julie, Mircher, Clotilde, Rebillat, Anne-Sophie, Maillebouis, Louise, Vilaire-Meunier, Marie, Tuballes, Kevin, Rosenberg, Brad R., Trachtman, Rebecca, Casanova, Jean-Laurent, and Notarangelo, Luigi D.

Abstract

Down’s syndrome (DS) presents with a constellation of cardiac, neurocognitive and growth impairments. Individuals with DS are also prone to severe infections and autoimmunity including thyroiditis, type 1 diabetes, coeliac disease and alopecia areata1,2. Here, to investigate the mechanisms underlying autoimmune susceptibility, we mapped the soluble and cellular immune landscape of individuals with DS. We found a persistent elevation of up to 22 cytokines at steady state (at levels often exceeding those in patients with acute infection) and detected basal cellular activation: chronic IL-6 signalling in CD4 T cells and a high proportion of plasmablasts and CD11c+TbethighCD21low B cells (Tbet is also known as TBX21). This subset is known to be autoimmune-prone and displayed even greater autoreactive features in DS including receptors with fewer non-reference nucleotides and higher IGHV4-34 utilization. In vitro, incubation of naive B cells in the plasma of individuals with DS or with IL-6-activated T cells resulted in increased plasmablast differentiation compared with control plasma or unstimulated T cells, respectively. Finally, we detected 365 auto-antibodies in the plasma of individuals with DS, which targeted the gastrointestinal tract, the pancreas, the thyroid, the central nervous system, and the immune system itself. Together, these data point to an autoimmunity-prone state in DS, in which a steady-state cytokinopathy, hyperactivated CD4 T cells and ongoing B cell activation all contribute to a breach in immune tolerance. Our findings also open therapeutic paths, as we demonstrate that T cell activation is resolved not only with broad immunosuppressants such as Jak inhibitors, but also with the more tailored approach of IL-6 inhibition.An autoimmune-prone state of steady-state cytokinopathy, hyperactivated CD4 T cells and ongoing B cell activation contributes to a breach in immune tolerance in individuals with Down’s syndrome. [ABSTRACT FROM AUTHOR]

Published
2023
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236. Prevalence and Outcome of Asthma in Adult Patients Admitted to the Emergency Department for COVID-19: A Case-Control Study.

Author

Gabrielli, Maurizio, Candelli, Marcello, Pignataro, Giulia, Ojetti, Veronica, Sacco Fernandez, Marta, Rosa, Federico, Gasbarrini, Antonio, and Franceschi, Francesco

Subjects
COVID-19 pandemic, ASTHMATICS, COVID-19, HOSPITAL emergency services, SARS-CoV-2
Abstract

(1) Background: Viral respiratory infections are common triggers for asthma exacerbation, often leading patients to the emergency department (ED). COVID-19, the disease caused by the SARS-CoV-2 virus, typically presents with respiratory symptoms, from minor symptoms, up to and including severe acute respiratory failure. Data on the association between asthma and COVID-19 are conflicting, and those from an ED setting are scarce. Our aims were to assess the prevalence and outcome of patients with asthma admitted to the ED for COVID-19. (2) Methods: We performed a case-control study, extracting data from a registry of adult patients with confirmed COVID-19 consecutively admitted to the ED of our hospital between March 2020 and January 2021. (3) Results: We identified 83 patients with asthma out of 935 individuals (prevalence 8.9%). There were no significant differences between cases and controls regarding both the proportion of hospital admissions and patients with critical COVID-19. (OR 1.37; 95% CI 0.52–3.56; and (OR 0.74; 95% CI 0.31–1.78 respectively). (4) Conclusions: In patients admitted to the ED for COVID-19, the prevalence of asthma was not higher than expected, and asthma was not associated with a worse outcome, in terms of the rate of hospitalization and critical COVID-19 disease. [ABSTRACT FROM AUTHOR]

Published
2023
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240. ISG15 deficiency restricts HIV-1 infection

Author

Jurczyszak, Denise, primary, Manganaro, Lara, additional, Buta, Sofija, additional, Gruber, Conor, additional, Martin-Fernandez, Marta, additional, Taft, Justin, additional, Patel, Roosheel S., additional, Cipolla, Melissa, additional, Alshammary, Hala, additional, Mulder, Lubbertus C. F., additional, Sachidanandam, Ravi, additional, Bogunovic, Dusan, additional, and Simon, Viviana, additional

Published
2022
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241. Kidney microRNA Expression Pattern in Type 2 Diabetic Nephropathy in BTBR Ob/Ob Mice

Author

Opazo-Ríos, Lucas, primary, Tejera-Muñoz, Antonio, additional, Soto Catalan, Manuel, additional, Marchant, Vanessa, additional, Lavoz, Carolina, additional, Mas Fontao, Sebastián, additional, Moreno, Juan Antonio, additional, Fierro Fernandez, Marta, additional, Ramos, Ricardo, additional, Suarez-Alvarez, Beatriz, additional, López-Larrea, Carlos, additional, Ruiz-Ortega, Marta, additional, Egido, Jesús, additional, and Rodrigues-Díez, Raúl R., additional

Published
2022
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242. A partial form of inherited human USP18 deficiency underlies infection and inflammation

Author

Martin-Fernandez, Marta, primary, Buta, Sofija, additional, Le Voyer, Tom, additional, Li, Zhi, additional, Dynesen, Lasse Toftdal, additional, Vuillier, Françoise, additional, Franklin, Lina, additional, Ailal, Fatima, additional, Muglia Amancio, Alice, additional, Malle, Louise, additional, Gruber, Conor, additional, Benhsaien, Ibtihal, additional, Altman, Jennie, additional, Taft, Justin, additional, Deswarte, Caroline, additional, Roynard, Manon, additional, Nieto-Patlan, Alejandro, additional, Moriya, Kunihiko, additional, Rosain, Jérémie, additional, Boddaert, Nathalie, additional, Bousfiha, Aziz, additional, Crow, Yanick J., additional, Jankovic, Dragana, additional, Sher, Alan, additional, Casanova, Jean-Laurent, additional, Pellegrini, Sandra, additional, Bustamante, Jacinta, additional, and Bogunovic, Dusan, additional

Published
2022
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243. Rationale and design of the Brazilian diabetes study: a prospective cohort of type 2 diabetes

Author

Barreto, Joaquim, primary, Wolf, Vaneza, additional, Bonilha, Isabella, additional, Luchiari, Beatriz, additional, Lima, Marcus, additional, Oliveira, Alessandra, additional, Vitte, Sofia, additional, Machado, Gabriela, additional, Cunha, Jessica, additional, Borges, Cynthia, additional, Munhoz, Daniel, additional, Fernandes, Vicente, additional, Kimura-Medorima, Sheila Tatsumi, additional, Breder, Ikaro, additional, Fernandez, Marta Duran, additional, Quinaglia, Thiago, additional, Oliveira, Rodrigo B., additional, Chaves, Fernando, additional, Arieta, Carlos, additional, Guerra-Júnior, Gil, additional, Avila, Sandra, additional, Nadruz, Wilson, additional, Carvalho, Luiz Sergio F., additional, and Sposito, Andrei C., additional

Published
2022
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245. Rapid identification of neutralizing antibodies against SARS-CoV-2 variants by mRNA display

Author

Tanaka, Shiho, primary, Olson, C. Anders, additional, Barnes, Christopher O., additional, Higashide, Wendy, additional, Gonzalez, Marcos, additional, Taft, Justin, additional, Richardson, Ashley, additional, Martin-Fernandez, Marta, additional, Bogunovic, Dusan, additional, Gnanapragasam, Priyanthi N.P., additional, Bjorkman, Pamela J., additional, Spilman, Patricia, additional, Niazi, Kayvan, additional, Rabizadeh, Shahrooz, additional, and Soon-Shiong, Patrick, additional

Published
2022
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246. Safe(r) by design guidelines for the nanotechnology industry

Author

Sánchez Jiménez, Araceli, primary, Puelles, Raquel, additional, Perez-Fernandez, Marta, additional, Barruetabeña, Leire, additional, Jacobsen, Nicklas Raun, additional, Suarez-Merino, Blanca, additional, Micheletti, Christian, additional, Manier, Nicolas, additional, Salieri, Beatrice, additional, Hischier, Roland, additional, Tsekovska, Rositsa, additional, Handzhiyski, Yordan, additional, Bouillard, Jacques, additional, Oudart, Yohan, additional, Galea, Karen S., additional, Kelly, Sean, additional, Shandilya, Neeraj, additional, Goede, Henk, additional, Gomez-Cordon, Julio, additional, Jensen, Keld Alstrup, additional, van Tongeren, Martie, additional, Apostolova, Margarita D., additional, and Llopis, Isabel Rodríguez, additional

Published
2022
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247. UBE3A-Induced Ubiquitination Changes in the Brain Reveal the Molecular Complexity of Angelman Syndrome

Author

Lectez, Benoit, primary, Alduntzin, Unai, additional, Osinalde, Nerea, additional, Fernandez, Marta, additional, Elu, Nagore, additional, Ramirez, Juanma, additional, Garcia-Barcena, Cristina, additional, Presa, Natalia, additional, Aloria, Kerman, additional, Frick, Andreas, additional, Peñagarikano, Olga, additional, and Mayor, Ugo, additional

Published
2022
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249. Blood Biomarkers of Uveal Melanoma: Current Perspectives

Author

Paula Silva-Rodríguez, Maria Santiago-Varela, Beatriz Fernandez Marta, Nerea Lago Baameiro, María José Blanco-Teijeiro, Manuel F Bande Rodríguez, Maria Pardo Perez, and Antonio Piñeiro Ces

Subjects
Oncology, medicine.medical_specialty, business.industry, Melanoma, medicine.disease, Exosome, Metastasis, 03 medical and health sciences, Ophthalmology, 0302 clinical medicine, Circulating tumor cell, Blood biomarkers, Internal medicine, Cutaneous melanoma, microRNA, 030221 ophthalmology & optometry, medicine, Biomarker (medicine), business, 030217 neurology & neurosurgery
Abstract

The detection of metastases in patients with a diagnosis of uveal melanoma (UM) is a controversial issue. While only 1% of the patients have detectable metastases at the time of diagnosis, up to 30% of them will develop liver metastases within 5 years of treatment. UM spreads hematogenously, therefore, blood biomarkers may be helpful for prognosis and monitoring the disease progression. Despite the great progress achieved thanks to the genetic analysis of UM biopsies, this is an invasive technique and is limited by the heterogeneity of the tumor. The present review considers the current understanding in the field regarding biomarkers for the diagnosis and prognosis of UM and its metastasis, primarily to the liver. General covered topics include non-conventional markers such as proteins previously identified in cutaneous melanoma and UM cell lines, circulating tumor cells, microRNAs (miRNA), and circulating DNA, and how each may be critical in the development of novel blood biomarkers for UM.

Published
2020

250. Contributors

Author

Anastasiadi, Dafni, de Felipe, Claudia Cortes, Goubert, Clément, Groza, Cristian, Guerrero-Bosagna, Carlos, Jensen, Per, Jimenez-Chillaron, Josep C., Juarez-Gonzalez, Vasti Thamara, Korolenko, Alexandra A., Larue, Anaïs, Martinez, German, Martín-Villuendas, Mariano, Merenciano, Miriam, Miska, Eric A., Mourin-Fernandez, Marta, Müller, Gerd B., Ohta, Tomoko, Palmieri, Flavio, Piferrer, Francesc, Rebollo, Rita, Skinner, Michael K., Tramacere, Antonella, Veigl, Sophie Juliane, Vieira, Cristina, Villagra, Cristian, Vogt, Günter, and Wright, Dominic

Published
2024
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