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4. The pyruvate kinase activator mitapivat reduces hemolysis and improves anemia in a β-thalassemia mouse model.

Author

Matte, Alessandro, Federti, Enrica, Kung, Charles, Kosinski, Penelope, Narayanaswamy, Rohini, Russo, Roberta, Federico, Giorgia, Carlomagno, Francesca, Desbats, Maria, Salviati, Leonardo, Leboeuf, Christophe, Valenti, Maria, Turrini, Francesco, Janin, Anne, Yu, Shaoxia, Beneduce, Elisabetta, Ronseaux, Sebastien, Iatcenko, Iana, Dang, Lenny, Ganz, Tomas, Jung, Chun-Ling, Iolascon, Achille, Brugnara, Carlo, and De Franceschi, Lucia

Subjects
Drug therapy, Genetic diseases, Hematology, Mouse models, Animals, Disease Models, Animal, Enzyme Activators, Female, Hemolysis, Mice, Mice, Transgenic, Piperazines, Pyruvate Kinase, Quinolines, beta-Thalassemia
Abstract

Anemia in β-thalassemia is related to ineffective erythropoiesis and reduced red cell survival. Excess free heme and accumulation of unpaired α-globin chains impose substantial oxidative stress on β-thalassemic erythroblasts and erythrocytes, impacting cell metabolism. We hypothesized that increased pyruvate kinase activity induced by mitapivat (AG-348) in the Hbbth3/+ mouse model for β-thalassemia would reduce chronic hemolysis and ineffective erythropoiesis through stimulation of red cell glycolytic metabolism. Oral mitapivat administration ameliorated ineffective erythropoiesis and anemia in Hbbth3/+ mice. Increased ATP, reduced reactive oxygen species production, and reduced markers of mitochondrial dysfunction associated with improved mitochondrial clearance suggested enhanced metabolism following mitapivat administration in β-thalassemia. The amelioration of responsiveness to erythropoietin resulted in reduced soluble erythroferrone, increased liver Hamp expression, and diminished liver iron overload. Mitapivat reduced duodenal Dmt1 expression potentially by activating the pyruvate kinase M2-HIF2α axis, representing a mechanism additional to Hamp in controlling iron absorption and preventing β-thalassemia-related liver iron overload. In ex vivo studies on erythroid precursors from patients with β-thalassemia, mitapivat enhanced erythropoiesis, promoted erythroid maturation, and decreased apoptosis. Overall, pyruvate kinase activation as a treatment modality for β-thalassemia in preclinical model systems had multiple beneficial effects in the erythropoietic compartment and beyond, providing a strong scientific basis for further clinical trials.

Published
2021

5. Weaning from mechanical ventilation in intensive care units across 50 countries (WEAN SAFE): a multicentre, prospective, observational cohort study

Author

Abrough, Fekri, Acharya, Subhash P, Amin, Pravin, Arabi, Yaseen, Aragao, Irene, Bauer, Philippe, Beduneau, Gaëtan, Beitler, Jeremy, Berkius, Johan, Bugedo, Guillermo, Camporota, Luigi, Cerny, Vladimir, Cho, Young-Jae, Clarkson, Kevin, Estenssoro, Elisa, Goligher, Ewan, Grasselli, Giacomo, Gritsan, Alexey, Hashemian, Seyed Mohammadreza, Hermans, Greet, Heunks, Leo M, Jovanovic, Bojan, Kurahashi, Kiyoyasu, Laake, Jon Henrik, Matamis, Dimitrios, Moerer, Onnen, Molnar, Zsolt, Ozyilmaz, Ezgi, Panka, Bernardo, Papali, Alfred, Peñuelas, Óscar, Perbet, Sébastien, Piquilloud, Lise, Qiu, Haibo, Razek, Assem Abdel, Rittayamai, Nuttapol, Roldan, Rollin, Serpa Neto, Ary, Szuldrzynski, Konstanty, Talmor, Daniel, Tomescu, Dana, Van Haren, Frank, Villagomez, Asisclo, Zeggwagh, Amine Ali, Abe, Toshikazu, Aboshady, Abdelrhman, Acampo-de Jong, Melanie, Acharya, Subhash, Adderley, Jane, Adiguzel, Nalan, Agrawal, Vijay Kumar, Aguilar, Gerardo, Aguirre, Gaston, Aguirre-Bermeo, Hernan, Ahlström, Björn, Akbas, Türkay, Akker, Mustafa, Al Sadeh, Ghamdan, Alamri, Sultan, Algaba, Angela, Ali, Muneeb, Aliberti, Anna, Allegue, Jose Manuel, Alvarez, Diana, Amador, Joaquin, Andersen, Finn H, Ansari, Sharique, Apichatbutr, Yutthana, Apostolopoulou, Olympia, Arellano, Daniel, Arica, Mestanza, Arikan, Huseyin, Arinaga, Koichi, Arnal, Jean-Michel, Asano, Kengo, Asín-Corrochano, Marta, Avalos Cabrera, Jesus Milagrito, Avila Fuentes, Silvia, Aydemir, Semih, Aygencel, Gulbin, Azevedo, Luciano, Bacakoglu, Feza, Badie, Julio, Baedorf Kassis, Elias, Bai, Gabriela, Balaraj, Govindan, Ballico, Bruno, Banner-Goodspeed, Valerie, Banwarie, Preveen, Barbieri, Rosella, Baronia, Arvind, Barrett, Jonathan, Barrot, Loïc, Barrueco-Francioni, Jesus Emilio, Barry, Jeffrey, Bawangade, Harshal, Beavis, Sarah, Beck, Eduardo, Beehre, Nina, Belenguer Muncharaz, Alberto, Bellani, Giacomo, Belliato, Mirko, Bellissima, Agrippino, Beltramelli, Rodrigo, Ben Souissi, Asma, Benitez-Cano, Adela, Benlamin, Mohamed, Benslama, Abdellatif, Bento, Luis, Benvenuti, Daniela, Bernabe, Laura, Bersten, Andrew, Berta, Giacomo, Bertini, Pietro, Bertram-Ralph, Elliot, Besbes, Mohamed, Bettini, Lisandro Roberto, Beuret, Pascal, Bewley, Jeremy, Bezzi, Marco, Bhakhtiani, Lakshay, Bhandary, Rakesh, Bhowmick, Kaushik, Bihari, Shailesh, Bissett, Bernie, Blythe, David, Bocher, Simon, Boedjawan, Narain, Bojanowski, Christine M, Boni, Elisa, Boraso, Sabrina, Borelli, Massimo, Borello, Silvina, Borislavova, Margarita, Bosma, Karen J, Bottiroli, Maurizio, Boyd, Owen, Bozbay, Suha, Briva, Arturo, Brochard, Laurent, Bruel, Cédric, Bruni, Andrea, Buehner, Ulrike, Bulpa, Pierre, Burt, Karen, Buscot, Mathieu, Buttera, Stefania, Cabrera, Jorge, Caccese, Roberta, Caironi, Pietro, Canchos Gutierrez, Ivan, Canedo, Nancy, Cani, Alma, Cappellini, Iacopo, Carazo, Jesus, Cardonnet, Luis Pablo, Carpio, David, Carriedo, Demetrio, Carrillo, Ramón, Carvalho, João, Caser, Eliana, Castelli, Antonio, Castillo Quintero, Manuel, Castro, Heloisa, Catorze, Nuno, Cengiz, Melike, Cereijo, Enrique, Ceunen, Helga, Chaintoutis, Christos, Chang, Youjin, Chaparro, Gustavogcha, Chapman, Carmel, Chau, Simon, Chavez, Cecilia Eugenia, Chelazzi, Cosimo, Chelly, Jonathan, Chemouni, Frank, Chen, Kai, Chena, Ariel, Chiarandini, Paolo, Chilton, Phil, Chiumello, Davide, Chou-Lie, Yvette, Chudeau, Nicolas, Cinel, Ismail, Cinnella, Gilda, Clark, Michele, Clark, Thomas, Clementi, Stefano, Coaguila, Luis, Codecido, Alexis Jaspe, Collins, Amy, Colombo, Riccardo, Conde, Juan, Consales, Guglielmo, Cook, Tim, Coppadoro, Andrea, Cornejo, Rodrigo, Cortegiani, Andrea, Coxo, Cristina, Cracchiolo, Andrea Neville, Crespo Ramirez, Mónica, Crova, Philippe, Cruz, José, Cubattoli, Lucia, Çukurova, Zafer, Curto, Francesco, Czempik, Piotr, D'Andrea, Rocco, da Silva Ramos, Fernando, Dangers, Laurence, Danguy des Déserts, Marc, Danin, Pierre-Eric, Dantas, Fabianne, Daubin, Cédric, Dawei, Wu, de Haro, Candelaria, de Jesus Montelongo, Felipe, De Mendoza, Diego, de Pablo, Raúl, De Pascale, Gennaro, De Rosa, Silvia, Decavèle, Maxens, Declercq, Pierre-Louis, Deicas, Alberto, del Carmen Campos Moreno, María, Dellamonica, Jean, Delmas, Benjamin, Demirkiran, Oktay, Demirkiran, Hilmi, Dendane, Tarek, di Mussi, Rossella, Diakaki, Chrysi, Diaz, Anatilde, Diaz, Willy, Dikmen, Yalim, Dimoula, Aikaterini, Doble, Patricia, Doha, Nagwa, Domingos, Guilherme, Dres, Martin, Dries, David, Duggal, Abhijit, Duke, Graeme, Dunts, Pavel, Dybwik, Knut, Dykyy, Maksym, Eckert, Philippe, Efe, Serdar, Elatrous, Souheil, Elay, Gülseren, Elmaryul, Abubaker S, Elsaadany, Mohamed, Elsayed, Hany, Elsayed, Samar, Emery, Malo, Ena, Sébastien, Eng, Kevin, Englert, Joshua A, Erdogan, Elif, Ergin Ozcan, Perihan, Eroglu, Ege, Escobar, Miguel, Esen, Figen, Esen Tekeli, Arzu, Esquivel, Alejandro, Esquivel Gallegos, Helbert, Ezzouine, Hanane, Facchini, Alberto, Faheem, Mohammad, Fanelli, Vito, Farina, Maria Fernanda, Fartoukh, Muriel, Fehrle, Lutz, Feng, Feng, Feng, Yufeng, Fernandez, Irene, Fernandez, Borja, Fernandez-Rodriguez, Maria Lorena, Ferrando, Carlos, Ferreira da Silva, Maria João, Ferreruela, Mireia, Ferrier, Janet, Flamm Zamorano, Matias Jesús, Flood, Laura, Floris, Leda, Fluckiger, Martin, Forteza, Catalina, Fortunato, Antonella, Frans, Eric, Frattari, Antonella, Fredes, Sebastian, Frenzel, Tim, Fumagalli, Roberto, Furche, Mariano Andres, Fusari, Maurizio, Fysh, Edward, Galeas-Lopez, Juan Luis, Galerneau, Louis-Marie, Garcia, Analía, Garcia, María Fernanda, Garcia, Elisabet, Garcia Olivares, Pablo, Garlicki, Jaroslaw, Garnero, Aude, Garofalo, Eugenio, Gautam, Prabha, Gazenkampf, Andrey, Gelinotte, Stéphanie, Gelormini, Domenico, Ghrenassia, Etienne, Giacomucci, Angelo, Giannoni, Robert, Gigante, Andrea, Glober, Nancy, Gnesin, Paolo, Gollo, Yari, Gomaa, Dina, Gomero Paredes, Rosita, Gomes, Rui, Gomez, Raúl Alejandro, Gomez, Oscar, Gomez, Aroa, Gondim, Louise, Gonzalez, Manuel, Gonzalez, Isabel, Gonzalez-Castro, Alejandro, Gordillo Romero, Orlando, Gordo, Federico, Gouin, Philippe, Graf Santos, Jerónimo, Grainne, Rooney, Grando, Matilde, Granov Grabovica, Sanja, Grasso, Salvatore, Grasso, Rinaldo, Grimmer, Lisa, Grissom, Colin, Gu, Qing, Guan, Xiang-Dong, Guarracino, Fabio, Guasch, Neus, Guatteri, Luca, Gueret, Renaud, Guérin, Claude, Guerot, Emmanuel, Guitard, Pierre-Gildas, Gül, Fethi, Gumus, Ayca, Gurjar, Mohan, Gutierrez, Patricia, Hachimi, Abdelhamid, Hadzibegovic, Adi, Hagan, Samantha, Hammel, Clare, Han Song, Joo, Hanlon, Gabrielle, Heines, Serge, Henriksson, Johanna, Herbrecht, Jean-Etienne, Heredia Orbegoso, Gabriel Omar, Hermon, Andrew, Hernandez, Rosana, Hernandez, Carmen, Herrera, Luis, Herrera-Gutierrez, Manuel, Heunks, Leo, Hidalgo, Juan, Hill, Dianne, Holmquist, Dagmar, Homez, Marcela, Hongtao, Xia, Hormis, Anil, Horner, Daniel, Hornos, M Carmen, Hou, Meihong, House, Stacy, Housni, Brahim, Hugill, Keith, Humphreys, Sally, Humbert, Louis, Hunter, Stephanie, Hwa Young, Lee, Iezzi, Nicolas, Ilutovich, Santiago, Inal, Volkan, Innes, Richard, Ioannides, Panagiotis, Iotti, Giorgio Antonio, Ippolito, Mariachiara, Irie, Hiromasa, Iriyama, Hiroki, Itagaki, Taiga, Izura, Javier, Izza, Santiago, Jabeen, Rakhshanda, Jamaati, Hamidreza, Jamadarkhana, Sunil, Jamoussi, Amira, Jankowski, Milosz, Jaramillo, Luis Alberto, Jeon, Kyeongman, Jeong Lee, Seok, Jeswani, Deepak, Jha, Simant, Jiang, Liangyan, Jing, Chen, Jochmans, Sébastien, Johnstad, Bror Anders, Jongmin, Lee, Joret, Aurélie, Junhasavasdikul, Detajin, Jurado, Maria Teresa, Kam, Elisa, Kamohara, Hidenobu, Kane, Caroline, Kara, Iskender, Karakurt, Sait, Karnjanarachata, Cherdkiat, Kataoka, Jun, Katayama, Shinshu, Kaushik, Shuchi, Kelebek Girgin, Nermin, Kerr, Kathryn, Kerslake, Ian, Khairnar, Prakash, Khalid, Abidi, Khan, Akram, Khanna, Ashish K, Khorasanee, Reza, Kienhorst, Dieneke, Kirakli, Cenk, Knafelj, Rihard, Kol, Mark Kol, Kongpolprom, Napplika, Kopitko, Csaba, Korkmaz Ekren, Pervin, Kubisz-Pudelko, Agnieszka, Kulcsar, Zoltan, Kumasawa, Junji, Kuriyama, Akira, Kutchak, Fernanda, Labarca, Eduardo, Labat, Françoise, Laborda, César, Laca Barrera, Manuel Alberto, Lagache, Laurie, Landaverde Lopez, Antonio, Lanspa, Michael, Lascari, Valeria, Le Meur, Matthieu, Lee, Su Hwan, Lee, Young Ju, Lee, Jinwoo, Lee, Won-Yeon, Lee, Jarone, Legernaes, Terje, Leiner, Tamaas, Lemiale, Virginie, Leonor, Tiago, Lepper, Philipp M, Li, Dahuan, Li, Hongbin, Li, Oleg, Lima, Ana Raquel, Lind, Dan, Litton, Edward, Liu, Ning, Liu, Ling, Liu, Jialin, Llitjos, Jean-François, Llorente, Beatriz, Lopez, Rodolfo, Lopez, Claudia Elizabeth, Lopez Nava, Claudia, Lovazzano, Pablo, Lu, Min, Lucchese, Francesca, Lugano, Manuela, Lugo Goytia, Gustavo, Luo, Hua, Lynch, Ceri, Macheda, Sebastiano, Madrigal Robles, Victor Hugo, Maggiore, Salvatore Maurizio, Magret Iglesias, Mònica, Malaga, Peter, Mallapura Maheswarappa, Harish, Malpartida, Guillermo, Malyarchikov, Andrey, Mansson, Helena, Manzano, Anaid, Marey, Ismael, Marin, Nathalie, Marin, Maria del Carmen, Markman, Eliana, Martin, Felix, Martin, Alex, Martin Dal Gesso, Cristina, Martinez, Felipe, Martínez-Fidalgo, Conchita, Martin-Loeches, Ignacio, Mas, Arantxa, Masaaki, Sakuraya, Maseda, Emilio, Massa, Eleni, Mattsson, Anna, Maugeri, Jessica, McCredie, Victoria, McCullough, James, McGuinness, Shay, McKown, Andrew, Medve, László, Mei, Chengqing, Mellado Artigas, Ricard, Mendes, Vitor, Mervat, Mohamed Khalaf Ebraheim, Michaux, Isabelle, Mikhaeil, Michael, Milagros, Olga, Milet, Igor, Millan, Maria Teresa, Minwei, Zhang, Mirabella, Lucia, Mishra, Sanghamitra, Mistraletti, Giovanni, Mochizuki, Katsunori, Moghal, Arif, Mojoli, Francesco, Molin, Alexandre, Montiel, Raquel, Montini, Luca, Monza, Gianmario, Mora Aznar, Maria, Morakul, Sunthiti, Morales, Maria, Moreno Torres, Daniel, Morocho Tutillo, Diego Rolando, Motherway, Catherine, Mouhssine, Doumiri, Mouloudi, Eleni, Muñoz, Tapia, Munoz de Cabo, Carlos, Mustafa, Mohamed, Muthuchellappan, Radhakrishnan, Muthukrishnan, Muraleekrishnan, Muttini, Stefano, Nagata, Isao, Nahar, Dick, Nakanishi, Misuzu, Nakayama, Izumi, Namendys-Silva, Silvio Antonio, Nanchal, Rahul, Nandakumar, Sivakumar, Nasi, Alessandra, Nasir, Kamal, Navalesi, Paolo, Naz Aslam, Tayyba, Nga Phan, Thuy, Nichol, Alistair, Niiyama, Shuhei, Nikolakopoulou, Sofia, Nikolic, Elena, Nitta, Kenichi, Noc, Marko, Nonas, Stephanie, Nseir, Saad, Nur Soyturk, Ayse, Obata, Yukako, Oeckler, Richard, Oguchi, Moe, Ohshimo, Shinichiro, Oikonomou, Marina, Ojados, Agueda, Oliveira, Maria Teresa, Oliveira Filho, Wilson, Oliveri, Carlo, Olmos, Aitor, Omura, Kazuya, Orlandi, Maria Cristina, Orsenigo, Francesca, Ortiz-Ruiz De Gordoa, Laura, Ota, Kei, Ovalle Olmos, Rainier, Öveges, Nándo, Oziemski, Peter, Ozkan Kuscu, Ozlem, Pachas Alvarado, Fernando, Pagella, Gonzalo, Palaniswamy, Vijayanand, Palazon Sanchez, Eugenio Luis, Palmese, Salvatore, Pan, Guojun, Pan, Wensen, Papanikolaou, Metaxia, Papavasilopoulou, Theonymfi, Parekh, Ameet, Parke, Rachael, Parrilla, Francisco J, Parrilla, Dácil, Pasha, Taha, Pasin, Laura, Patão, Luis, Patel, Mayur, Patel, Grisma, Pati, Basanta Kumar, Patil, Jayaprakash, Pattnaik, Saroj, Paul, Daniel, Pavesi, Maurizio, Pavlotsky, Vanesa Alejandra, Paz, Graciela, Paz, Enrique, Pecci, Elisabetta, Pellegrini, Carlos, Peña Padilla, Andrea Gabriela, Perchiazzi, Gaetano, Pereira, Tiago, Pereira, Vera, Perez, Manuel, Perez Calvo, Cesar, Perez Cheng, Meisy, Perez Maita, Ronald, Pérez-Araos, Rodrigo, Perez-Teran, Purificación, Perez-Torres, David, Perkins, Gavin, Persona, Paolo, Petnak, Tananchai, Petrova, Marina, Pham, Tai, Philippart, François, Picetti, Edoardo, Pierucci, Elisabetta, Piervincenzi, Edoardo, Pinciroli, Riccardo, Pintado, Maria-Consuelo, Piraino, Thomas, Piras, Stephanie, Piras, Claudio, Pirompanich, Pattarin, Pisani, Luigi, Platas, Enrique, Plotnikow, Gustavo, Porras, Willy, Porta, Virginia, Portilla, Mariana, Portugal, José, Povoa, Pedro, Prat, Gwenael, Pratto, Romina, Preda, Gabriel, Prieto, Isidro, Prol-Silva, Estefania, Pugh, Richard, Qi, Yupeng, Qian, Chuanyun, Qin, Tiehe, Qu, Hongping, Quintana, Teobaldo, Quispe Sierra, Rosari, Quispe Soto, Rocio, Rabbani, Raihan, Rabee, Mohamed, Rabie, Ahmed, Rahe Pereira, Maria Augusta, Rai, Ashish, Raj Ashok, Sundar, Rajab, Mostafa, Ramdhani, Navin, Ramey, Elizabeth, Ranieri, Marco, Rathod, Darshana, Ray, Banambar, Redwanul Huq, Shihan Mahmud, Regli, Adrian, Reina, Rosa, Resano Sarmiento, Natalia, Reynaud, Faustine, Rialp, Gemma, Ricart, Pilar, Rice, Todd, Richardson, Angus, Rieder, Marcelo, Rinket, Martin, Rios, Fernando, Risso Vazquez, Alejandro, Riva, Ivano, Rivette, Monaly, Roca, Oriol, Roche-Campo, Ferran, Rodriguez, Covadonga, Rodriguez, Gabriel, Rodriguez Gonzalez, Daniel, Rodriguez Tucto, Xandra Yanina, Rogers, Angela, Romano, María Elena, Rørtveit, Linda, Rose, Alastair, Roux, Damien, Rouze, Anahita, Rubatto Birri, Paolo Nahuel, Ruilan, Wang, Ruiz Robledo, Aldana, Ruiz-Aguilar, Antonio Luis, Sadahiro, Tomohito, Saez, Ignacio, Sagardia, Judith, Saha, Rajnish, Saha, Rohit, Saiphoklang, Narongkorn, Saito, Shigeki, Salem, Maie, Sales, Gabriele, Salgado, Patricia, Samavedam, Srinivas, Sami Mebazaa, Mhamed, Samuelsson, Line, San Juan Roman, Nandyelly, Sanchez, Patricia, Sanchez-Ballesteros, Jesus, Sandoval, Yazcitk, Sani, Emanuele, Santos, Martin, Santos, Carla, Sanui, Masamitsu, Saravanabavan, Lakshmikanthcharan, Sari, Sema, Sarkany, Agnes, Sauneuf, Bertrand, Savioli, Monica, Sazak, Hilal, Scano, Riccardo, Schneider, Francis, Schortgen, Frédérique, Schultz, Marcus J, Schwarz, Gabriele Leonie, Seçkin Yücesoy, Faruk, Seely, Andrew, Seiler, Frederik, Seker Tekdos, Yasemin, Seok Chan, Kim, Serano, Luca, Serednicki, Wojciech, Setten, Mariano, Shah, Asim, Shah, Bhagyesh, Shang, You, Shanmugasundaram, Pradeep, Shapovalov, Konstantin, Shebl, Eman, Shiga, Takuya, Shime, Nobuaki, Shin, Phil, Short, Jack, Shuhua, Chen, Siddiqui, Sughrat, Silesky Jimenez, Juan Ignacio, Silva, Daniel, Silva Sales, Betania, Simons, Koen, Sjøbø, Brit Ågot, Slessor, David, Smiechowicz, Jakub, Smischney, Nathan, Smith, Paul, Smith, Tim, Smith, Mark, Snape, Sarah, Snyman, Lindi, Soetens, Filiep, Sook Hong, Kyung, Sosa Medellin, Miguel Ángel, Soto, Giovanna, Souloy, Xavier, Sousa, Elsa, Sovatzis, Stefania, Sozutek, Didem, Spadaro, Savino, Spagnoli, Marco, Spångfors, Martin, Spittle, Nick, Spivey, Mike, Stapleton, Andrew, Stefanovic, Branislava, Stephenson, Lorraine, Stevenson, Elizabeth, Strand, Kristian, Strano, Maria Teresa, Straus, Slavenka, Sun, Chenliang, Sun, Rongqing, Sundaram, Venkat, SunPark, Tai, Surlemont, Elisabeth, Sutherasan, Yuda, Szabo, Zsuzsanna, Tainter, Christopher, Takaba, Akihiro, Tallott, Mandy, Tamasato, Tamasato, Tang, Zhanhong, Tangsujaritvijit, Viratch, Taniguchi, Leandro, Taniguchi, Daisuke, Tarantino, Fabio, Teerapuncharoen, Krittika, Temprano, Susana, Terragni, Pierpaolo, Terzi, Nicolas, Thakur, Anand, Theerawit, Pongdhep, Thille, Arnaud W, Thomas, Matt, Thungtitigul, Poungrat, Thyrault, Martial, Tilouch, Nejla, Timenetsky, Karina, Tirapu, Juna, Todeschini, Manuel, Tomas, Roser, Tomaszewski, Christian, Tonetti, Tommaso, Tonnelier, Alexandre, Trinder, John, Trongtrakul, Konlawij, Truwit, Jonathon, Tsuei, Betty, Tulaimat, Aiman, Turan, Sema, Turkoglu, Melda, Tyagi, Sanjeev, Ubeda, Alejandro, Vagginelli, Federica, Valenti, María Florencia, Vallverdu, Imma, Van Axel, Alisha, van den Hul, Ingrid, van der Hoeven, Hans, Van Der Meer, Nardo, Vanhoof, Marc, Vargas-Ordoñez, Mónica, Vaschetto, Rosanna, Vascotto, Ettore, Vatsik, Maria, Vaz, Ana, Vazquez-Sanchez, Antonia, Ventura, Sara, Vermeijden, Jan Wytze, Vidal, Anxela, Vieira, Jocyelle, Vilela Costa Pinto, Bruno, Villagra, Ana, Villegas Succar, Cristina, Vinorum, Ole Georg, Vitale, Giovanni, Vj, Ramesh, Vochin, Ana, Voiriot, Guillaume, Volta, Carlo Alberto, von Seth, Magnus, Wajdi, Maazouzi, Walsh, Don, Wang, Shouhong, Wardi, Gabriel, Ween-Velken, Nils Christian, Wei, Bi-Lin, Weller, Dolf, Welsh, Deborah, Welters, Ingeborg, Wert, Michael, Whiteley, Simon, Wilby, Elizabeth, Williams, Erin, Williams, Karen, Wilson, Antoinette, Wojtas, Jadwiga, Won Huh, Jin, Wrathall, David, Wright, Christopher, Wu, Jian-Feng, Xi, Guo, Xing, Zheng-Jiang, Xu, Hongyang, Yamamoto, Kotaro, Yan, Jie, Yáñez, Julio, Yang, Xiaobo, Yates, Elliot, Yazicioglu Mocin, Ozlem, Ye, Zhenglong, Yildirim, Fatma, Yoshida, Norifumi, Yoshido, Hector Higo Leon, Young Lee, Bo, Yu, Rongguo, Yu, Gong, Yu, Tao, Yuan, Boyun, Yuangtrakul, Nadwipa, Yumoto, Tetsuya, Yun, Xie, Zakalik, Graciela, Zaki, Ahmad, Zalba-Etayo, Begoña, Zambon, Massimo, Zang, Bin, Zani, Gianluca, Zarka, Jonathan, Zerbi, Simone Maria, Zerman, Avsar, Zetterquist, Harald, Zhang, Jiuzhi, Zhang, Hongwen, Zhang, Wei, Zhang, Guoxiu, Zhang, Weixin, Zhao, Hongsheng, Zheng, Jia, Zhu, Bin, Zumaran, Ronald, Pham, Tài, Madotto, Fabiana, Goligher, Ewan C, Mancebo, Jordi, Peñuelas, Oscar, Pesenti, Antonio, Wunsch, Hannah, van Haren, Frank, and Laffey, John G

Published
2023
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6. Anti-convulsant Agents: Topiramate

Author

Dinkelacker, Vera, Valenti, Maria Paola, Hirsch, Edouard, Elger, Christian E., Section editor, Riederer, Peter, editor, Laux, Gerd, editor, Nagatsu, Toshiharu, editor, Le, Weidong, editor, and Riederer, Christian, editor

Published
2022
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7. Ventilatory Parameters in Obstetric Patients With COVID-19 and Impact of Delivery: A Multicenter Prospective Cohort Study

Author

Vasquez, Daniela N., Giannoni, Roberto, Salvatierra, Adriana, Cisneros, Karina, Lafosse, Diego, Escobar, María F., Montenegro, Martín, Juárez, Paula, Visani, Lucía, Mandich, Verónica, Barrozo, Erika, Kirschbaum, Mariana, Das Neves, Andrea V., Valenti, María F., Canseco, María C., Romero, Ignacio, Macharé, Pedro, Marquez, Ana K., Rodriguez, Eva, Palacio, Cristina, Rapela, Laura, Amillategui Scenna, José M., Nuñez, Rosshanna, Torres, Sebastián, González, Miguel A., Franconieri, Lorena, Nasner, Daniela, Okurzaty, Patricia, Plotnikow, Gustavo A., and Intile, Alfredo D.

Published
2023
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9. #899 The effect of exercise training on microRNAs in patients undergoing hemodialysis

Author

Momente, Claudia, primary, Elia, Rossella, additional, Piva, Giovanni, additional, Lamberti, Nicola, additional, Baciga, Federica, additional, Manfredini, Fabio, additional, Gambaro, Giovanni, additional, Maria, Alesssio D I, additional, Storari, Alda, additional, Carbonare, Luca Giuseppe Dalle, additional, Valenti, Maria Teresa, additional, and Battaglia, Yuri, additional

Published
2024
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10. Nrf2 Plays a Key Role in Erythropoiesis during Aging

Author

Mbiandjeu, Serge Cedrick Toya, primary, Siciliano, Angela, additional, Mattè, Alessandro, additional, Federti, Enrica, additional, Perduca, Massimiliano, additional, Melisi, Davide, additional, Andolfo, Immacolata, additional, Amoresano, Angela, additional, Iolascon, Achille, additional, Valenti, Maria Teresa, additional, Turrini, Francesco, additional, Bovi, Michele, additional, Pisani, Arianna, additional, Recchiuti, Antonio, additional, Mattoscio, Domenico, additional, Riccardi, Veronica, additional, Dalle Carbonare, Luca, additional, Brugnara, Carlo, additional, Mohandas, Narla, additional, and De Franceschi, Lucia, additional

Published
2024
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11. Recurrent gastric antral vascular ectasia: a single center experience

Author

Cavallaro, Andrea, primary, Zanghì, Antonio, additional, Di Vita, Maria, additional, Catania, Vito Emanuele, additional, Longo, Giovanni, additional, Lo Menzo, Emanuele, additional, Granata, Roberta, additional, Valenti, Maria Rosaria, additional, Cappellani, Alessandro, additional, and Di Majo, Simone, additional

Published
2024
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13. Substance Use among Transgender and Cisgender High School Students

Author

Fuxman, Shai, Valenti, Maria, Kessel Schneider, Shari, O'Brien, Kimberly H. McManama, and O'Donnell, Lydia

Abstract

Using data from a regional census survey of high school students, we compared substance use patterns between transgender and cisgender students, and students who did not know if they are transgender (DKT). Data from more than 23,000 youth from 26 high schools were used to compare alcohol-related behaviors, marijuana use, and non-medical use of prescription drugs (NMUPD) between these three groups. We also examined differences in substance use behaviors between these groups by grade. Results show that transgender students have significantly higher odds of engaging in most types of substance misuse behaviors including problem drinking, current marijuana use, and NMUPD, compared to cisgender students. DKT students have significantly higher odds of engaging in problem drinking, and NMUPD compared to cisgender students. Furthermore, differences in some substance use behaviors between transgender and cisgender students are greater among students in earlier grades compared to later grades; though this was not the case when comparing cisgender students to DKT students. Results highlight the elevated risk of substance use among transgender youth--especially during early high school years, and students who are not sure about their gender identity. Implications about the need for targeted and early prevention efforts for this vulnerable population are discussed.

Published
2021
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16. The ChoCO-W prospective observational global study: Does COVID-19 increase gangrenous cholecystitis?

Author

De Simone, Belinda, Abu-Zidan, Fikri M., Chouillard, Elie, Di Saverio, Salomone, Sartelli, Massimo, Podda, Mauro, Gomes, Carlos Augusto, Moore, Ernest E., Moug, Susan J., Ansaloni, Luca, Kluger, Yoram, Coccolini, Federico, Landaluce-Olavarria, Aitor, Estraviz-Mateos, Begoña, Uriguen-Etxeberria, Ana, Giordano, Alessio, Luna, Alfonso Palmieri, Amín, Luz Adriana Hernández, Hernández, Adriana María Palmieri, Shabana, Amanda, Dzulkarnaen, Zakaria Andee, Othman, Muhammad Asyraf, Sani, Mohamad Ikhwan, Balla, Andrea, Scaramuzzo, Rosa, Lepiane, Pasquale, Bottari, Andrea, Staderini, Fabio, Cianchi, Fabio, Cavallaro, Andrea, Zanghì, Antonio, Cappellani, Alessandro, Campagnacci, Roberto, Maurizi, Angela, Martinotti, Mario, Ruggieri, Annamaria, Jusoh, Asri Che, Rahman, Karim Abdul, Zulkifli, Anis Suraya M., Petronio, Barbara, Matías-García, Belén, Quiroga-Valcárcel, Ana, Mendoza-Moreno, Fernando, Atanasov, Boyko, Campanile, Fabio Cesare, Vecchioni, Ilaria, Cardinali, Luca, Travaglini, Grazia, Sebastiani, Elisa, Chooklin, Serge, Chuklin, Serhii, Cianci, Pasquale, Restini, Enrico, Capuzzolo, Sabino, Currò, Giuseppe, Filippo, Rosalinda, Rispoli, Michele, Aparicio-Sánchez, Daniel, Muñóz-Cruzado, Virginia Durán, Barbeito, Sandra Dios, Delibegovic, Samir, Kesetovic, Amar, Sasia, Diego, Borghi, Felice, Giraudo, Giorgio, Visconti, Diego, Doria, Emanuele, Santarelli, Mauro, Luppi, Davide, Bonilauri, Stefano, Grossi, Ugo, Zanus, Giacomo, Sartori, Alberto, Piatto, Giacomo, De Luca, Maurizio, Vita, Domenico, Conti, Luigi, Capelli, Patrizio, Cattaneo, Gaetano Maria, Marinis, Athanasios, Vederaki, Styliani-Aikaterini, Bayrak, Mehmet, Altıntas, Yasemin, Uzunoglu, Mustafa Yener, Demirbas, Iskender Eren, Altinel, Yuksel, Meric, Serhat, Aktimur, Yunus Emre, Uymaz, Derya Salim, Omarov, Nail, Azamat, Ibrahim, Lostoridis, Eftychios, Nagorni, Eleni-Aikaterini, Pujante, Antonio, Anania, Gabriele, Bombardini, Cristina, Bagolini, Francesco, Gonullu, Emre, Mantoglu, Baris, Capoglu, Recayi, Cappato, Stefano, Muzio, Elena, Colak, Elif, Polat, Suleyman, Koylu, Zehra Alan, Altintoprak, Fatih, Bayhan, Zülfü, Akin, Emrah, Andolfi, Enrico, Rezart, Sulce, Kim, Jae Il, Jung, Sung Won, Shin, Yong Chan, Enciu, Octavian, Toma, Elena Adelina, Medas, Fabio, Canu, Gian Luigi, Cappellacci, Federico, D’Acapito, Fabrizio, Ercolani, Giorgio, Solaini, Leonardo, Roscio, Francesco, Clerici, Federico, Gelmini, Roberta, Serra, Francesco, Rossi, Elena Giulia, Fleres, Francesco, Clarizia, Guglielmo, Spolini, Alessandro, Ferrara, Francesco, Nita, Gabriela, Sarnari, Jlenia, Gachabayov, Mahir, Abdullaev, Abakar, Poillucci, Gaetano, Palini, Gian Marco, Veneroni, Simone, Garulli, Gianluca, Piccoli, Micaela, Pattacini, Gianmaria Casoni, Pecchini, Francesca, Argenio, Giulio, Armellino, Mariano Fortunato, Brisinda, Giuseppe, Tedesco, Silvia, Fransvea, Pietro, Ietto, Giuseppe, Franchi, Caterina, Carcano, Giulio, Martines, Gennaro, Trigiante, Giuseppe, Negro, Giulia, Vega, Gustavo Machain, González, Agustín Rodríguez, Ojeda, Leonardo, Piccolo, Gaetano, Bondurri, Andrea, Maffioli, Anna, Guerci, Claudio, Sin, Boo Han, Zuhdi, Zamri, Azman, Azlanudin, Mousa, Hussam, al Bahri, Shadi, Augustin, Goran, Romic, Ivan, Moric, Trpimir, Nikolopoulos, Ioannis, Andreuccetti, Jacopo, Pignata, Giusto, D’Alessio, Rossella, Kenig, Jakub, Skorus, Urszula, Fraga, Gustavo Pereira, Hirano, Elcio Shiyoiti, de Lima Bertuol, Jackson Vinícius, Isik, Arda, Kurnaz, Eray, Asghar, Mohammad Sohail, Afzal, Ameer, Akbar, Ali, Nikolouzakis, Taxiarchis Konstantinos, Lasithiotakis, Konstantinos, Chrysos, Emmanuel, Das, Koray, Özer, Nazmi, Seker, Ahmet, Ibrahim, Mohamed, Hamid, Hytham K. S., Babiker, Ahmed, Bouliaris, Konstantinos, Koukoulis, George, Kolla, Chrysoula-Christina, Lucchi, Andrea, Agostinelli, Laura, Taddei, Antonio, Fortuna, Laura, Agostini, Carlotta, Licari, Leo, Viola, Simona, Callari, Cosimo, Laface, Letizia, Abate, Emmanuele, Casati, Massimiliano, Anastasi, Alessandro, Canonico, Giuseppe, Gabellini, Linda, Tosi, Lorenzo, Guariniello, Anna, Zanzi, Federico, Bains, Lovenish, Sydorchuk, Larysa, Iftoda, Oksana, Sydorchuk, Andrii, Malerba, Michele, Costanzo, Federico, Galleano, Raffaele, Monteleone, Michela, Costanzi, Andrea, Riva, Carlo, Walędziak, Maciej, Kwiatkowski, Andrzej, Czyżykowski, Łukasz, Major, Piotr, Strzałka, Marcin, Matyja, Maciej, Natkaniec, Michal, Valenti, Maria Rosaria, Di Vita, Maria Domenica Pia, Sotiropoulou, Maria, Kapiris, Stylianos, Massalou, Damien, Veroux, Massimiliano, Volpicelli, Alessio, Gioco, Rossella, Uccelli, Matteo, Bonaldi, Marta, Olmi, Stefano, Nardi, Matteo, Livadoti, Giada, Mesina, Cristian, Dumitrescu, Theodor Viorel, Ciorbagiu, Mihai Calin, Ammendola, Michele, Ammerata, Giorgio, Romano, Roberto, Slavchev, Mihail, Misiakos, Evangelos P., Pikoulis, Emmanouil, Papaconstantinou, Dimitrios, Elbahnasawy, Mohamed, Abdel-elsalam, Sherief, Felsenreich, Daniel M., Jedamzik, Julia, Michalopoulos, Nikolaos V., Sidiropoulos, Theodoros A., Papadoliopoulou, Maria, Cillara, Nicola, Deserra, Antonello, Cannavera, Alessandro, Negoi, Ionuţ, Schizas, Dimitrios, Syllaios, Athanasios, Vagios, Ilias, Gourgiotis, Stavros, Dai, Nick, Gurung, Rekha, Norrey, Marcus, Pesce, Antonio, Feo, Carlo Vittorio, Fabbri, Nicolo’, Machairas, Nikolaos, Dorovinis, Panagiotis, Keramida, Myrto D., Mulita, Francesk, Verras, Georgios Ioannis, Vailas, Michail, Yalkin, Omer, Iflazoglu, Nidal, Yigit, Direnc, Baraket, Oussama, Ayed, Karim, Ghalloussi, Mohamed hedi, Patias, Parmenion, Ntokos, Georgios, Rahim, Razrim, Bala, Miklosh, Kedar, Asaf, Sawyer, Robert G., Trinh, Anna, Miller, Kelsey, Sydorchuk, Ruslan, Knut, Ruslan, Plehutsa, Oleksandr, Liman, Rumeysa Kevser, Ozkan, Zeynep, Kader, Saleh Abdel, Gupta, Sanjay, Gureh, Monika, Saeidi, Sara, Aliakbarian, Mohsen, Dalili, Amin, Shoko, Tomohisa, Kojima, Mitsuaki, Nakamoto, Raira, Atici, Semra Demirli, Tuncer, Gizem Kilinc, Kaya, Tayfun, Delis, Spiros G., Rossi, Stefano, Picardi, Biagio, del Monte, Simone Rossi, Triantafyllou, Tania, Theodorou, Dimitrios, Pintar, Tadeja, Salobir, Jure, Manatakis, Dimitrios K., Tasis, Nikolaos, Acheimastos, Vasileios, Ioannidis, Orestis, Loutzidou, Lydia, Symeonidis, Savvas, de Sá, Tiago Correia, Rocha, Mónica, Guagni, Tommaso, Pantalone, Desiré, Maltinti, Gherardo, Khokha, Vladimir, Abdel-elsalam, Wafaa, Ghoneim, Basma, López-Ruiz, José Antonio, Kara, Yasin, Zainudin, Syaza, Hayati, Firdaus, Azizan, Nornazirah, Khei, Victoria Tan Phooi, Yi, Rebecca Choy Xin, Sellappan, Harivinthan, Demetrashvili, Zaza, Lekiashvili, Nika, Tvaladze, Ana, Froiio, Caterina, Bernardi, Daniele, Bonavina, Luigi, Gil-Olarte, Angeles, Grassia, Sebastiano, Romero-Vargas, Estela, Bianco, Francesco, Gumbs, Andrew A., Dogjani, Agron, Agresta, Ferdinando, Litvin, Andrey, Balogh, Zsolt J., Gendrikson, George, Martino, Costanza, Damaskos, Dimitrios, Pararas, Nikolaos, Kirkpatrick, Andrew, Kurtenkov, Mikhail, Gomes, Felipe Couto, Pisanu, Adolfo, Nardello, Oreste, Gambarini, Fabrizio, Aref, Hager, Angelis, Nicola de’, Agnoletti, Vanni, Biondi, Antonio, Vacante, Marco, Griggio, Giulia, Tutino, Roberta, Massani, Marco, Bisetto, Giovanni, Occhionorelli, Savino, Andreotti, Dario, Lacavalla, Domenico, Biffl, Walter L., and Catena, Fausto

Published
2022
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18. SARS-CoV-2 vaccination elicits unconventional IgM specific responses in naïve and previously COVID-19-infected individuals

Author

Ruggiero, Alessandra, Piubelli, Chiara, Calciano, Lucia, Accordini, Simone, Valenti, Maria Teresa, Carbonare, Luca Dalle, Siracusano, Gabriel, Temperton, Nigel, Tiberti, Natalia, Longoni, Silvia Stefania, Pizzato, Massimo, Accordini, Silvia, Fantoni, Tobia, Lopalco, Lucia, Beretta, Alberto, Bisoffi, Zeno, and Zipeto, Donato

Published
2022
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19. Local Energy Community to Support Hydrogen Production and Network Flexibility.

Author

Ferrara, Massimiliano, Mottola, Fabio, Proto, Daniela, Ricca, Antonio, and Valenti, Maria

Subjects
BATTERY storage plants, GREEN fuels, ELECTRIC power distribution grids, POWER resources, RENEWABLE energy sources
Abstract

This paper deals with the optimal scheduling of the resources of a renewable energy community, whose coordination is aimed at providing flexibility services to the electrical distribution network. The available resources are renewable generation units, battery energy storage systems, dispatchable loads, and power-to-hydrogen systems. The main purposes behind the proposed strategy are enhancement of self-consumption and hydrogen production from local resources and the maximization of the economic benefits derived from both the selling of hydrogen and the subsidies given to the community for the shared energy. The proposed approach is formulated as an economic problem accounting for the perspectives of both community members and the distribution system operator. In more detail, a mixed-integer constrained non-linear optimization problem is formulated. Technical constraints related to the resources and the power flows in the electrical grid are considered. Numerical applications allow for verifying the effectiveness of the procedure. The results show that it is possible to increase self-consumption and the production of green hydrogen while providing flexibility services through the exploitation of community resources in terms of active and reactive power support. More specifically, the application of the proposed strategy to different case studies showed that daily revenues of up to EUR 1000 for each MW of renewable energy generation installed can be obtained. This value includes the benefit obtained thanks to the provision of flexibility services, which contribute about 58% of the total. [ABSTRACT FROM AUTHOR]

Published
2024
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20. A Survey on Anomalies and Faults That May Impact the Reliability of Renewable-Based Power Systems.

Author

Mariani, Valerio, Adinolfi, Giovanna, Buonanno, Amedeo, Ciavarella, Roberto, Ricca, Antonio, Sorrentino, Vincenzo, Graditi, Giorgio, and Valenti, Maria

Abstract

The decarbonization of the electricity grid is one of the actions that can help reduce fossil fuel emissions, and thus their impact on global warming in the future. This decarbonization will be achieved mainly through the integration and widespread diffusion of renewable power sources. This is also going to be supported by the shift from the paradigm of production–transmission–distribution, where electricity production oversees large-size power plants, to renewable-based distributed/diffused production, where electricity is generated very close or even by the same (group of) user(s) (or prosumers in the latter case). The number of mid-/small-size installations based on renewable energy technologies will therefore increase substantially, and the related renewable generation will be dominant against that from large-size power plants. Unfortunately, this will very likely reduce the reliability of the grid, unless appropriate countermeasures are taken/implemented, hopefully at the same time that the paradigm shift is being achieved. To this aim, it is important to identify the anomalies and main fault causes that might possibly affect some of the central renewable (wind, PV, hydrogen) and ancillary technologies that will be used to establish future renewable-based power systems. Accordingly, this paper presents a literature survey, also extending the focus to related datasets that can be used for deeper investigation. It is highlighted that the gaps mainly refer to a lack of a common taxonomy that prevents the establishment of structured knowledge in the scope of renewable-based power systems, a lack of contributions to anomalies/faults specific to wind turbines, and a lack of datasets related to electrolyzers, fuel cells, DC/x conversion, and monitoring and communication systems. Further, in the case of monitoring and communication systems, the scientific literature is both very dated, therefore not considering possible new aspects that would be currently worthy of investigation, and not oriented toward the particular domain addressed, thus considering peculiar aspects that are left out. [ABSTRACT FROM AUTHOR]

Published
2024
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21. The Impact of Physical Exercise on microRNAs in Hemodialysis Patients: A Review and a Protocol for an Ancillary Study

Author

Elia, Rossella, primary, Piva, Giovanni, additional, Bulighin, Francesca, additional, Lamberti, Nicola, additional, Manfredini, Fabio, additional, Gambaro, Giovanni, additional, Di Maria, Alessio, additional, Salvagno, Gianluca, additional, Carbonare, Luca Giuseppe Dalle, additional, Storari, Alda, additional, Valenti, Maria Teresa, additional, and Battaglia, Yuri, additional

Published
2024
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24. Coordinated Control of Supercapacitor-Battery Tandem by Smart Converters in Microgrid Scenario

Author

Adinolfi, Giovanna, Ciavarella, Roberto, Graditi, Giorgio, Merola, Angelo, Valenti, Maria, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Zamboni, Walter, editor, and Petrone, Giovanni, editor

Published
2020
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25. Clinical characteristics and outcomes of invasively ventilated patients with COVID-19 in Argentina (SATICOVID): a prospective, multicentre cohort study

Author

Estenssoro, E, Dubin, A, Loudet, C I, Ríos, F, Kanoore Edul, V S, Plotnikow, G, Reina, R, Andrian, M, Ivacachi, J, Romero, I, Garay, C, Piezny, D, Sagardía, J, Bezzi, M, Borello, S, Mandich, V, Chiacchiara, D, Groer, C, García Almirón, C, Kovac, A, Torres, S, Cesio, C, Orlandi, C, Hernández, R, Rubatto Birri, P N, Mugno, M, Valenti, M F, Gómez, R A, Cunto, E, Chediack, V, Sáenz, M G, Marchena, C, Tiribelli, N, Guaymas, M, Aphalo, V, Vázquez, D, Saad, Y, Sánchez, D, Iglesias, F, Casteluccio, P, Lattanzio, B, Eiguren, S, Noval, D, Fredes, S, Izzo, G C, Cabrera, H, Pozo, M O, Sac, S, Tornatore, N, Sakugawa, J, Villafañe, C, Di Sibio, A, Maskin, P, Rodríguez, P, Nihany, N, Mogadouro, M, Pálizas (h), F, Cornú, E, Esperatti, M, Pintos, J M, Badariotti, G, Echevarría, G, Mazzola, A M, Giuggia, C, Dargains, N, Turano, A, Pugliese, F, Zec Baskarad, M J, Chamadoira, M, Medina, J C, Búsico, M, Villarejo, F, Collazos, H, Huanca, T, Pendino, J C, Talamonti, L, Skrzypiec, F, Tascón, C, Genovese, G, Alul, H, Zavattieri, A, Herrera, A J, Rosales, N, Quintana, M G, Risso Vazquez, A, Lugaro, M, Díaz Rousseaux, E, Falcone, M, Kurban, F, Cini, M, Zakalik, G, Pellegrini, C, Fernández, G, Sottile, J P, Barrios, S, Hamada, O, Mendiluce, V, Villalba, D, Sacco, F, Mezzina, V, Servin, C, Quinteros, M, Nuñez, H, Campassi, M L, Banegas, D, Balasini, C, Leiva, V, Maicol, F, Domeniconi, G, Vilaseca, V, Barrientos, A, Larocca, F, Kumar, L, Luna, R, Deheza Lonardi, M, Oholeguy, A, Carnero Echegaray, J, Marazzi, C, Helca Regis, P, Rópolo, F, Bobadilla, A, Thomas, V, Funes Nelson, N, Villavicencio, C, Machare, P, Aramayo, N, González, C, Ferriccioni, M, Bergesio, J, Estenssoro, Elisa, Loudet, Cecilia I, Ríos, Fernando G, Kanoore Edul, Vanina S, Plotnikow, Gustavo, Andrian, Macarena, Romero, Ignacio, Piezny, Damián, Bezzi, Marco, Mandich, Verónica, Groer, Carla, Torres, Sebastián, Orlandi, Cristina, Rubatto Birri, Paolo N, Valenti, María F, Cunto, Eleonora, Sáenz, María G, Tiribelli, Norberto, Aphalo, Vanina, Reina, Rosa, and Dubin, Arnaldo

Published
2021
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26. Machine Learning and Weather Model Combination for PV Production Forecasting.

Author

Buonanno, Amedeo, Caputo, Giampaolo, Balog, Irena, Fabozzi, Salvatore, Adinolfi, Giovanna, Pascarella, Francesco, Leanza, Gianni, Graditi, Giorgio, and Valenti, Maria

Subjects
MACHINE learning, NUMERICAL weather forecasting, SOLAR oscillations, FORECASTING, SOLAR radiation, WEATHER forecasting
Abstract

Accurate predictions of photovoltaic generation are essential for effectively managing power system resources, particularly in the face of high variability in solar radiation. This is especially crucial in microgrids and grids, where the proper operation of generation, load, and storage resources is necessary to avoid grid imbalance conditions. Therefore, the availability of reliable prediction models is of utmost importance. Authors address this issue investigating the potential benefits of a machine learning approach in combination with photovoltaic power forecasts generated using weather models. Several machine learning methods have been tested for the combined approach (linear model, Long Short-Term Memory, eXtreme Gradient Boosting, and the Light Gradient Boosting Machine). Among them, the linear models were demonstrated to be the most effective with at least an RMSE improvement of 3.7% in photovoltaic production forecasting, with respect to two numerical weather prediction based baseline methods. The conducted analysis shows how machine learning models can be used to refine the prediction of an already established PV generation forecast model and highlights the efficacy of linear models, even in a low-data regime as in the case of recently established plants. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Gα15 in early onset of pancreatic ductal adenocarcinoma

Author

Innamorati, Giulio, Wilkie, Thomas M., Malpeli, Giorgio, Paiella, Salvatore, Grasso, Silvia, Rusev, Borislav, Leone, Biagio Eugenio, Valenti, Maria Teresa, Carbonare, Luca dalle, Cheri, Samuele, Giacomazzi, Alice, Zanotto, Marco, Guardini, Vanessa, Deiana, Michela, Zipeto, Donato, Serena, Michela, Parenti, Marco, Guzzi, Francesca, Lawlor, Rita Teresa, Malerba, Giovanni, Mori, Antonio, Malleo, Giuseppe, Giacomello, Luca, Salvia, Roberto, and Bassi, Claudio

Published
2021
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31. Serology study after BTN162b2 vaccination in participants previously infected with SARS-CoV-2 in two different waves versus naïve

Author

Dalle Carbonare, Luca, Valenti, Maria Teresa, Bisoffi, Zeno, Piubelli, Chiara, Pizzato, Massimo, Accordini, Silvia, Mariotto, Sara, Ferrari, Sergio, Minoia, Arianna, Bertacco, Jessica, Li Vigni, Veronica, Dorelli, Gianluigi, Crisafulli, Ernesto, Alberti, Daniela, Masin, Laura, Tiberti, Natalia, Longoni, Silvia Stefania, Lopalco, Lucia, Beretta, Alberto, and Zipeto, Donato

Published
2021
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33. Effects of C-Peptide Replacement Therapy on Bone Microarchitecture Parameters in Streptozotocin-Diabetic Rats

Author

Maurotti, Samantha, Russo, Cristina, Musolino, Vincenzo, Nucera, Saverio, Gliozzi, Micaela, Scicchitano, Miriam, Bosco, Francesca, Morittu, Valeria Maria, Ragusa, Monica, Mazza, Elisa, Pujia, Roberta, Gazzaruso, Carmine, Britti, Domenico, Valenti, Maria Teresa, Deiana, Michela, Romeo, Stefano, Giannini, Sandro, Dalle Carbonare, Luca, Mollace, Vincenzo, Pujia, Arturo, and Montalcini, Tiziana

Published
2020
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35. Exploring the Interplay of RUNX2 and CXCR4 in Melanoma Progression.

Author

Dalle Carbonare, Luca, Minoia, Arianna, Vareschi, Anna, Piritore, Francesca Cristiana, Zouari, Sharazed, Gandini, Alberto, Meneghel, Mirko, Elia, Rossella, Lorenzi, Pamela, Antoniazzi, Franco, Pessoa, João, Zipeto, Donato, Romanelli, Maria Grazia, Guardavaccaro, Daniele, and Valenti, Maria Teresa

Subjects
RUNX proteins, CXCR4 receptors, CHEMOKINE receptors, CELL receptors, TRANSCRIPTION factors, CELL communication
Abstract

Overexpression of the Runt-related transcription factor 2 (RUNX2) has been reported in several cancer types, and the C-X-C motif chemokine receptor 4 (CXCR4) has an important role in tumour progression. However, the interplay between CXCR4 and RUNX2 in melanoma cells remains poorly understood. In the present study, we used melanoma cells and a RUNX2 knockout (RUNX2-KO) in vitro model to assess the influence of RUNX2 on CXCR4 protein levels along with its effects on markers associated with cell invasion and autophagy. Osteotropism was assessed using a 3D microfluidic model. Moreover, we assessed the impact of CXCR4 on the cellular levels of key cellular signalling proteins involved in autophagy. We observed that melanoma cells express both RUNX2 and CXCR4. Restored RUNX2 expression in RUNX2 KO cells increased the expression levels of CXCR4 and proteins associated with the metastatic process. The protein markers of autophagy LC3 and beclin were upregulated in response to increased CXCR4 levels. The CXCR4 inhibitor WZ811 reduced osteotropism and activated the mTOR and p70-S6 cell signalling proteins. Our data indicate that the RUNX2 transcription factor promotes the expression of the CXCR4 chemokine receptor on melanoma cells, which in turn promotes autophagy, cell invasiveness, and osteotropism, through the inhibition of the mTOR signalling pathway. Our data suggest that RUNX2 promotes melanoma progression by upregulating CXCR4, and we identify the latter as a key player in melanoma-related osteotropism. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Modulation of miR-146b Expression during Aging and the Impact of Physical Activity on Its Expression and Chondrogenic Progenitors

Author

Dalle Carbonare, Luca, primary, Minoia, Arianna, additional, Braggio, Michele, additional, Bertacco, Jessica, additional, Piritore, Francesca Cristiana, additional, Zouari, Sharazed, additional, Vareschi, Anna, additional, Elia, Rossella, additional, Vedovi, Ermes, additional, Scumà, Cristina, additional, Carlucci, Matilde, additional, Bhandary, Lekhana, additional, Mottes, Monica, additional, Romanelli, Maria Grazia, additional, and Valenti, Maria Teresa, additional

Published
2023
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40. Microarray Analysis on Human Neuroblastoma Cells Exposed to Aluminum, Beta1–42-Amyloid or the Beta1–42-Amyloid Aluminum Complex

Author

Gatta, Valentina, Drago, Denise, Fincati, Karina, Valenti, Maria Teresa, Dalle Carbonare, Luca, Sensi, Stefano L., and Zatta, Paolo

Subjects
amyloid precursor protein, insulin-degrading enzyme, long-term potentiation, estrogen-receptor-alpha, alzheimers-disease, synaptic plasticity, gene-expression, transcription factors, intracellular domain, calcium homeostasis
Abstract

BackgroundA typical pathological feature of Alzheimer's disease (AD) is the appearance in the brain of senile plaques made up of β-amyloid (Aβ) and neurofibrillary tangles. AD is also associated with an abnormal accumulation of some metal ions, and we have recently shown that one of these, aluminum (Al), plays a relevant role in affecting Aβ aggregation and neurotoxicity.MethodologyIn this study, employing a microarray analysis of 35,129 genes, we investigated the effects induced by the exposure to the Aβ1–42-Al (Aβ-Al) complex on the gene expression profile of the neuronal-like cell line, SH-SY5Y.Principal FindingsThe microarray assay indicated that, compared to Aβ or Al alone, exposure to Aβ-Al complex produced selective changes in gene expression. Some of the genes selectively over or underexpressed are directly related to AD. A further evaluation performed with Ingenuity Pathway analysis revealed that these genes are nodes of networks and pathways that are involved in the modulation of Ca2+ homeostasis as well as in the regulation of glutamatergic transmission and synaptic plasticity.Conclusions and SignificanceAβ-Al appears to be largely involved in the molecular machinery that regulates neuronal as well as synaptic dysfunction and loss. Aβ-Al seems critical in modulating key AD-related pathways such as glutamatergic transmission, Ca2+ homeostasis, oxidative stress, inflammation, and neuronal apoptosis.

Published
2011

42. Expression of FBXW11 in normal and disease‐associated osteogenic cells

Author

Dalle Carbonare, Luca, primary, Gomez Lira, Macarena, additional, Minoia, Arianna, additional, Bertacco, Jessica, additional, Orsi, Silvia, additional, Lauriola, Angela, additional, Li Vigni, Veronica, additional, Gandini, Alberto, additional, Antoniazzi, Franco, additional, Zipeto, Donato, additional, Mottes, Monica, additional, Bhandary, Lekhana, additional, Guardavaccaro, Daniele, additional, and Valenti, Maria Teresa, additional

Published
2023
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46. Hypoxemia following generalized convulsive seizures: Risk factors and effect of oxygen therapy

Author

Rheims, Sylvain, Alvarez, Blanca Mercedes, Alexandre, Veriano, Curot, Jonathan, Maillard, Louis, Bartolomei, Fabrice, Derambure, Philippe, Hirsch, Edouard, Michel, Véronique, Chassoux, Francine, Tourniaire, Didier, Crespel, Arielle, Biraben, Arnaud, Navarro, Vincent, Kahane, Philippe, De Toffol, Bertrand, Thomas, Pierre, Rosenberg, Sarah, Valton, Luc, Bezin, Laurent, Ryvlin, Philippe, Ryvlin, Philippe, Rheims, Sylvain, Roy, Pascal, Mercier, Catherine, Michel, Véronique, Marchal, Cecile, Rosenberg, Dominique S, Kahane, Philippe, Minotti, Lorella, Vercueil, Laurent, Sabourdy, Cecile, Job-Chapron, Anne-Sophie, Petit, Jérome, Tourniaire, Didier, Eid, Viera, Derambure, Philippe, Szurhaj, William, Tyvaert, Louise, Catenoix, Hélène, Andre-Obadia, Nanthalie, Isnard, Jean, Montavont, Alexandra, Bartolomei, Fabrice, Trebuchon, Agnes, Gonigal, Aileen Mc, Aubert, Sandrine, Crespel, Arielle, Gelisse, Philippe, Maillard, Louis, Jonas, Jacques, Vignal, Jean-Pierre, Thomas, Pierre, Bourg, Véronique, Chassoux, Francine, Landre, Elisabeth, Navarro, Vincent, Dupont, Sophie, Adam, Claude, Biraben, Arnaud, Nica, Anca, Hirsch, Edouard, Valenti, Maria-Paola, Valton, Luc, Denuelle, Marie, Curot, Jonhatan, De Toffol, Bertrand, and Biberon, Julien.

Published
2018
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47. The pyruvate kinase activator mitapivat reduces hemolysis and improves anemia in a [beta]-thalassemia mouse model

Author

Matte, Alessandro, Federti, Enrica, Kung, Charles, Kosinski, Penelope A., Narayanaswamy, Rohini, Russo, Roberta, Federico, Giorgia, Carlomagno, Francesca, Desbats, Maria Andrea, Salviati, Leonardo, Leboeuf, Christophe, Valenti, Maria Teresa, Turrini, Francesco, Janin, Anne, Yu, Shaoxia, Beneduce, Elisabetta, Ronseaux, Sebastien, Iatcenko, Iana, Dang, Lenny, Ganz, Tomas, Jung, Chun-Ling, Iolascon, Achille, Brugnara, Carlo, and De Franceschi, Lucia

Subjects
Hemolysis and hemolysins -- Control, Anemia -- Drug therapy, Pyruvate kinase -- Physiological aspects -- Health aspects, Thalassemia -- Models -- Drug therapy, Health care industry
Abstract

Anemia in [beta]-thalassemia is related to ineffective erythropoiesis and reduced red cell survival. Excess free heme and accumulation of unpaired [alpha]-globin chains impose substantial oxidative stress on [beta]-thalassemic erythroblasts and erythrocytes, impacting cell metabolism. We hypothesized that increased pyruvate kinase activity induced by mitapivat (AG-348) in the [Hbb.sup.th3/+] mouse model for [beta]-thalassemia would reduce chronic hemolysis and ineffective erythropoiesis through stimulation of red cell glycolytic metabolism. Oral mitapivat administration ameliorated ineffective erythropoiesis and anemia in [Hbb.sup.th3/+] mice. Increased ATP, reduced reactive oxygen species production, and reduced markers of mitochondrial dysfunction associated with improved mitochondrial clearance suggested enhanced metabolism following mitapivat administration in [beta]-thalassemia. The amelioration of responsiveness to erythropoietin resulted in reduced soluble erythroferrone, increased liver Hamp expression, and diminished liver iron overload. Mitapivat reduced duodenal Dmt1 expression potentially by activating the pyruvate kinase M2-HIF2[alpha] axis, representing a mechanism additional to Hamp in controlling iron absorption and preventing [beta]-thalassemia-related liver iron overload. In ex vivo studies on erythroid precursors from patients with [beta]-thalassemia, mitapivat enhanced erythropoiesis, promoted erythroid maturation, and decreased apoptosis. Overall, pyruvate kinase activation as a treatment modality for [beta]-thalassemia in preclinical model systems had multiple beneficial effects in the erythropoietic compartment and beyond, providing a strong scientific basis for further clinical trials., Introduction Ineffective erythropoiesis and reduced red cell survival are key determinants of the anemia and other comorbidities in [beta]-thalassemia (1-3). Reduced [beta]-chain production leads to a decoupling from heme production, [...]

Published
2021
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48. Figure S3. from Plasma IL8 Is a Biomarker for TAK1 Activation and Predicts Resistance to Nanoliposomal Irinotecan in Patients with Gemcitabine-Refractory Pancreatic Cancer

Author

Merz, Valeria, primary, Zecchetto, Camilla, primary, Santoro, Raffaela, primary, Simionato, Francesca, primary, Sabbadini, Fabio, primary, Mangiameli, Domenico, primary, Piro, Geny, primary, Cavaliere, Alessandro, primary, Deiana, Michela, primary, Valenti, Maria Teresa, primary, Bazan, Diana, primary, Fedele, Vita, primary, Lonardi, Sara, primary, and Melisi, Davide, primary

Published
2023
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49. Supplementary TABLE 2 from Plasma IL8 Is a Biomarker for TAK1 Activation and Predicts Resistance to Nanoliposomal Irinotecan in Patients with Gemcitabine-Refractory Pancreatic Cancer

Author

Merz, Valeria, primary, Zecchetto, Camilla, primary, Santoro, Raffaela, primary, Simionato, Francesca, primary, Sabbadini, Fabio, primary, Mangiameli, Domenico, primary, Piro, Geny, primary, Cavaliere, Alessandro, primary, Deiana, Michela, primary, Valenti, Maria Teresa, primary, Bazan, Diana, primary, Fedele, Vita, primary, Lonardi, Sara, primary, and Melisi, Davide, primary

Published
2023
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50. Supplementary TABLE 4 from Plasma IL8 Is a Biomarker for TAK1 Activation and Predicts Resistance to Nanoliposomal Irinotecan in Patients with Gemcitabine-Refractory Pancreatic Cancer

Author

Merz, Valeria, primary, Zecchetto, Camilla, primary, Santoro, Raffaela, primary, Simionato, Francesca, primary, Sabbadini, Fabio, primary, Mangiameli, Domenico, primary, Piro, Geny, primary, Cavaliere, Alessandro, primary, Deiana, Michela, primary, Valenti, Maria Teresa, primary, Bazan, Diana, primary, Fedele, Vita, primary, Lonardi, Sara, primary, and Melisi, Davide, primary

Published
2023
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