31 results on '"Garnero, P"'
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2. Satellitome analysis on the pale-breasted thrush Turdus leucomelas (Passeriformes; Turdidae) uncovers the putative co-evolution of sex chromosomes and satellite DNAs
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Souza, Guilherme Mota, Kretschmer, Rafael, Toma, Gustavo Akira, de Oliveira, Alan Moura, Deon, Geize Aparecida, Setti, Princia Grejo, Zeni dos Santos, Rodrigo, Goes, Caio Augusto Gomes, Del Valle Garnero, Analía, Gunski, Ricardo José, de Oliveira, Edivaldo Herculano Correa, Porto-Foresti, Fabio, Liehr, Thomas, Utsunomia, Ricardo, and de Bello Cioffi, Marcelo
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- 2024
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3. Evolution of bird sex chromosomes: a cytogenomic approach in Palaeognathae species
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Setti, Príncia Grejo, Deon, Geize Aparecida, Zeni dos Santos, Rodrigo, Goes, Caio Augusto Gomes, Garnero, Analía Del Valle, Gunski, Ricardo José, de Oliveira, Edivaldo Herculano Corrêa, Porto-Foresti, Fábio, de Freitas, Thales Renato Ochotorena, Silva, Fábio Augusto Oliveira, Liehr, Thomas, Utsunomia, Ricardo, Kretschmer, Rafael, and de Bello Cioffi, Marcelo
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- 2024
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4. The local distribution of in-work poverty and sectoral employment: an analysis of local dynamics in Italy
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Tonutti, Giovanni, Garnero, Andrea, Bertarelli, Gaia, and Pratesi, Monica
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- 2024
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5. Moon-forming impactor as a source of Earth’s basal mantle anomalies
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Yuan, Qian, Li, Mingming, Desch, Steven J., Ko, Byeongkwan, Deng, Hongping, Garnero, Edward J., Gabriel, Travis S. J., Kegerreis, Jacob A., Miyazaki, Yoshinori, Eke, Vincent, and Asimow, Paul D.
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- 2023
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6. Chromosomal distribution of major rDNA and genome size variation in Belostoma angustum Lauck, B. nessimiani Ribeiro & Alecrim, and B. sanctulum Montandon (Insecta, Heteroptera, Belostomatidae)
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Furlan Lopes, Cassiane, Lemos Costa, Alice, Dionísio, Jaqueline Fernanda, Delgado Cañedo, Andres, da Rosa, Renata, Del Valle Garnero, Analia, Inacio Ribeiro, José Ricardo, and Gunski, Ricardo José
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- 2022
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7. Multi-biomarker Assessment in a Native Species Psalidodon eigenmanniorum Under Inorganic Mercury and Recovery Scenarios
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Garnero, Paola L., Ballesteros, María L., Monferran, Magdalena V., Rivetti, Natalia G., and Bistoni, María A.
- Published
- 2022
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8. Solvent Key Parameters for the Wet Chemical Synthesis of the Li3PS4 Solid Electrolyte.
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Poirier, Romain, Pasquier, David, Lambert, Arnold, Corral Valero, Manuel, Uzio, Denis, and Garnero, Cyril
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- 2024
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9. Plasma Cartilage Acidic Protein 1 Measured by ELISA Is Associated With the Progression to Total Joint Replacement in Postmenopausal Women.
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Garnero, Patrick, Gineyts, Evelyne, Rousseau, Jean-Charles, Sornay-Rendu, Elisabeth, and Chapurlat, Roland D.
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- 2024
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10. Automatic Apnea Time Adjustments During Ventilation With Automode.
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Garnero, Ariel J. and Chatburn, Robert L.
- Subjects
ARTIFICIAL respiration equipment ,TIME ,MECHANICAL ventilators ,RESEARCH methodology ,APNEA ,SIMULATION methods in education ,CONTINUING education units ,RESPIRATORY measurements ,AUTOMATION ,DESCRIPTIVE statistics ,WAVE analysis ,ALGORITHMS - Abstract
BACKGROUND: Automode is a feature on Servo ventilators that automatically switches between mandatory and spontaneous breaths. Spontaneous breaths suppress mandatory breaths until apnea. The period from the last spontaneous breath to the first mandatory breath is automatically adjusted by a calculated apnea time limit based on a maximum apnea time setting, the mandatory breathing frequency setting, and the spontaneous breath count. The purpose of this study was to validate the apnea time algorithm by using simulated mechanical ventilation. METHODS: A Servo-u ventilator was connected to an ASL 5000 breathing simulator. Ventilator settings were the following: Automode (pressure control to pressure support), pressure control = 10 cm H
2 O; pressure support 5 = cm H2 O; PEEP = 10 cm H2 O; breathing frequency 5 10, 12, 15, 20 breaths/min; maximum apnea time = 7 and 12 s. Simulator settings were the following: resistance = 10 cm H2 O/L/s; compliance = 35 mL/cm H2O; flow trigger model: frequency = 20 breaths/min, trigger flow = 10 L/min, trigger duration 5 800 ms. Flow waveforms were recorded, and the observed apnea time limit was compared with the calculated value. The outcome variable was error, defined as the difference between observed and calculated apnea times expressed as a percentage. RESULTS: The observed apnea time limit ranged from 3 to 12 s, depending on the mandatory frequency and the spontaneous breath count. The average error ranged from 22 to 0%. CONCLUSIONS: The measured apnea time for simulated ventilation settings was within 2% of calculated times. Automode allowed a spontaneous frequency lower than expected based on the mandatory frequency. [ABSTRACT FROM AUTHOR]- Published
- 2024
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11. Le nouveau marqueur sérique du remodelage de la synoviale, Col 3-4, prédit le risque de progression radiologique dans la polyarthrite rhumatoïde débutante indépendamment des facteurs de risque classiques : l’étude ESPOIR
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Garnero, P., primary, Gineyts, E., additional, Rousseau, J.C., additional, Richette, P., additional, Sellam, J., additional, and Chapurlat, R., additional
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- 2022
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12. Bedside Assessment of Lung Recruitability: Making Sense of the Recruitment-to-Inflation Ratio.
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Chatburn, Robert L., Cutro, Ryan, Garnero, Ariel J., Babic, Sherry A., and Hatipoğlu, Umur
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LUNG volume measurements ,LUNGS ,POSITIVE end-expiratory pressure ,AIRWAY (Anatomy) ,RESPIRATORY measurements ,ADULT respiratory distress syndrome ,ARTIFICIAL respiration ,RESPIRATORY mechanics - Abstract
Determination of optimum PEEP levels remains an elusive goal. One factor is the recruitability of the lung, yet this is another difficult determination. Recently, a simple bedside technique, called the recruitment-to-inflation ratio, has been described and validated by comparison to the dual pressure-volume curve method. We describe the prior research and concepts of lung mechanics leading up to this metric and develop some background mathematics that help clinicians understand its meaning. [ABSTRACT FROM AUTHOR]
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- 2023
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13. POS0499 A NEW SERUM ASSAY MEASURING SYNOVIAL TURNOVER IN RHEUMATOID ARTHRITIS
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Garnero, P., primary, Gineyts, E., additional, Rousseau, J. C., additional, Marotte, H., additional, and Chapurlat, R., additional
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- 2022
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14. Proteogenomic reconstruction of organ-specific metabolic networks in an environmental sentinel species, the amphipod Gammarus fossarum.
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Koenig, Natacha, Baa-Puyoulet, Patrice, Lafont, Amélie, Lorenzo-Colina, Isis, Navratil, Vincent, Leprêtre, Maxime, Sugier, Kevin, Delorme, Nicolas, Garnero, Laura, Queau, Hervé, Gaillard, Jean-Charles, Kielbasa, Mélodie, Ayciriex, Sophie, Calevro, Federica, Chaumot, Arnaud, Charles, Hubert, Armengaud, Jean, Geffard, Olivier, and Degli Esposti, Davide
- Abstract
Metabolic pathways are affected by the impacts of environmental contaminants underlying a large variability of toxic effects across different species. However, the systematic reconstruction of metabolic pathways remains limited in environmental sentinel species due to the lack of available genomic data in many taxa of animal diversity. In this study we used a multi-omics approach to reconstruct the most comprehensive map of metabolic pathways for a crustacean model in biomonitoring, the amphipod Gammarus fossarum in order to improve the knowledge of the metabolism of this sentinel species. We revisited the assembly of RNA-seq data by de novo approaches to reduce RNA contaminants and transcript redundancy. We also acquired extensive mass spectrometry shotgun proteomic data on several organs from a reference population of G. fossarum males and females to identify organ-specific metabolic profiles. The G. fossarum metabolic pathway reconstruction (available through the metabolic database GamfoCyc) was performed by adapting the genomic tool CycADS and we identified 377 pathways representing 7630 annotated enzymes, 2610 enzymatic reactions and the expression of 858 enzymes was experimentally validated by proteomics. To our knowledge, our analysis provides for the first time a systematic metabolic pathway reconstruction and the proteome profiles of these pathways at the organ level in this sentinel species. As an example, we show an elevated abundance in enzymes involved in ATP biosynthesis and fatty acid beta-oxidation indicative of the high-energy requirement of the gills, or the key anabolic and detoxification role of the hepatopancreatic caeca, as exemplified by the specific expression of the retinoid biosynthetic pathways and glutathione synthesis. In conclusion, the multi-omics data integration performed in this study provides new resources to investigate metabolic processes in crustacean amphipods and their role in mediating the effects of environmental contaminant exposures in sentinel species. This study provide the first evidence that it is possible to combine multiple omics data to exhaustively describe the metabolic network of a model species in ecotoxicology, Gammarus fossarum , for which a reference genome is not yet available. [Display omitted] • Metabolic pathway systematic reconstruction using transcriptomics of a sentinel freshwater amphipod, Gammarus fossarum. • Creation of an open-access molecular resource for G. fossarum metabolic network at http://arthropodacyc.cycadsys.org • Identification of organ-specific metabolic profiles using high resolution mass spectrometry proteomics [ABSTRACT FROM AUTHOR]
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- 2024
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15. Weaning from mechanical ventilation in intensive care units across 50 countries (WEAN SAFE): a multicentre, prospective, observational cohort study
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Pham, Tài, Heunks, Leo, Bellani, Giacomo, Madotto, Fabiana, Aragao, Irene, Beduneau, Gaëtan, Goligher, Ewan C, Grasselli, Giacomo, Laake, Jon Henrik, Mancebo, Jordi, Peñuelas, Oscar, Piquilloud, Lise, Pesenti, Antonio, Wunsch, Hannah, van Haren, Frank, Brochard, Laurent, Laffey, John G, 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, Arabi, Yaseen, 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, Bauer, Philippe, 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, Berkius, Johan, 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, Bugedo, Guillermo, 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, Cho, Young-Jae, Chou-Lie, Yvette, Chudeau, Nicolas, Cinel, Ismail, Cinnella, Gilda, Clark, Michele, Clark, Thomas, Clarkson, Kevin, 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, Grasselli, Giacomo, Grasso, Salvatore, Grasso, Rinaldo, Grimmer, Lisa, Grissom, Colin, Gritsan, Alexey, 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, Hashemian, Seyed Mohammadreza, Heines, Serge, Henriksson, Johanna, Herbrecht, Jean-Etienne, Heredia Orbegoso, Gabriel Omar, Hermans, Greet, 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, Jovanovic, Bojan, 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, Kurahashi, Kiyoyasu, Kuriyama, Akira, Kutchak, Fernanda, Laake, Jon Henrik, 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, Moerer, Onnen, Moghal, Arif, Mojoli, Francesco, Molin, Alexandre, Molnar, Zsolt, 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, Panka, Bernardo, 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, Piquilloud, Lise, 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, Qiu, Haibo, 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, Rios, Fernando, Risso Vazquez, Alejandro, Rittayamai, Nuttapol, 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, Serpa Neto, Ary, 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, Szuldrzynski, Konstanty, 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, Van Haren, Frank, 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, Villagomez, Asisclo, 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, and Zumaran, Ronald
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Current management practices and outcomes in weaning from invasive mechanical ventilation are poorly understood. We aimed to describe the epidemiology, management, timings, risk for failure, and outcomes of weaning in patients requiring at least 2 days of invasive mechanical ventilation.
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- 2023
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16. Flow and Deformation in Earth's Deepest Mantle: Insights From Geodynamic Modeling and Comparisons With Seismic Observations
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Li, Mingming, Wolf, Jonathan, Garnero, Edward, and Long, Maureen D.
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The dynamics of Earth's D″ layer at the base of the mantle plays an essential role in Earth's thermal and chemical evolution. Mantle convection in D″ is thought to result in seismic anisotropy; therefore, observations of anisotropy may be used to infer lowermost mantle flow. However, the connections between mantle flow and seismic anisotropy in D″ remain ambiguous. Here, we calculate the present‐day mantle flow field in D″ using 3D global geodynamic models. We then compute strain, a measure of deformation, outside the two large‐low velocity provinces (LLVPs) and compare the distribution of strain with previous observations of anisotropy. We find that, on a global scale, D″ materials are advected toward the LLVPs. The strains of D″ materials generally increase with time along their paths toward the LLVPs and toward deeper depths, but regions far from LLVPs may develop relative high strain as well. Materials in D″ outside the LLVPs mostly undergo lateral stretching, with the stretching direction often aligning with mantle flow direction, especially in fast flow regions. In most models, the depth‐averaged strain in D″ is >0.5 outside the LLVPs, consistent with widespread observations of seismic anisotropy. Flow directions inferred from anisotropy observations often (but not always) align with predictions from geodynamic modeling calculations. The Earth's deep mantle deforms and moves at a geological timescale. This movement is called mantle convection which controls plate tectonics. Of particular importance is the flow in the lowermost few hundred kilometers of the mantle, which is called the D″ layer. The dynamics of D″ plays an essential role in Earth's thermal and chemical evolution. Direct observation of D″ flow is not possible, but D″ flow causes deformation of minerals that can align in preferential directions, leading to variable seismic velocities along different directions. This feature is called seismic anisotropy. In this study, we use numerical simulations to investigate D″ flow and its connection to rock deformation and seismic anisotropy. We find that D″ materials are strongly deformed, consistent with observations of seismic anisotropy in this layer. The strength of rock deformation in D″ generally increases with depth and increases toward regions beneath the Central Pacific and Africa, where two continental‐sized seismic anomalies exist. Flow directions inferred from anisotropy observations often align with our numerical simulations. This study thus improves our understanding on the dynamics of the D″ layer. Geodynamic models show that D″ materials are strongly deformed, consistent with observations of seismic anisotropyStrains of materials in D″ generally increase with time as they go toward the large‐low velocity provinces and deeper depthsFlow directions inferred from anisotropy observations often align with that from geodynamic calculations Geodynamic models show that D″ materials are strongly deformed, consistent with observations of seismic anisotropy Strains of materials in D″ generally increase with time as they go toward the large‐low velocity provinces and deeper depths Flow directions inferred from anisotropy observations often align with that from geodynamic calculations
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- 2024
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17. Comparison of Epidemiologic and Clinical COVID-19 Profiles in Children in Argentina, During Circulation of Original and Variant (Alpha, Gamma and Lambda) Strains
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Gentile, Angela, Juárez, María Del Valle, Romero Bollon, Lucia, Aprea, Valeria, Matteucci, Erika, Falaschi, Andrea, Brizuela, Martin, Euliarte, Cristina, Gregorio, Gabriela, Della Latta, Maria Paula, Russ, Carlota, Ensinck, Gabriela Nidia, Saraceni, Liliana, Bruno, Miriam, Garnero, Analía, Cohen Arazi, Laura, Melonari, Pablo, Pebe Florian, Victor, Bogdanowicz, Elizabeth, Gaiano, Alejandra, Bellone, Luciana, Areso, Maria Soledad, Lucion, Florencia, Cancelara, Aldo Daniel, Manino, Leonardo, Rodriguez Saa, Carolina, Corallo, Teresa Alicia, Fernandez, Tatiana, Giansiracusa, Daniel, Gif, Mercedes, Irasegui, Hernan, Lavitola, Mariana, Alvarez, Laura V., Langan, María Eugenia, Gareis, Maria Shirley, Vanzo, Carolina, Gismondi, Belen, and Nuñez, Marcela
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- 2023
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18. Plasma crtac-1 measured by elisa, predicts the progression to total joint replacement, independently of urinary ctx-ii, in postmenopausal women
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Garnero, P., Gineyts, E., Rousseau, J.-C., Sornay-Rendu, E., and Chapurlat, R.D.
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- 2023
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19. Widespread D″${\mathbf{D}}^{\mathbf{{\prime\prime}}}$Anisotropy Beneath North America and the Northeastern Pacific and Implications for Upper Mantle Anisotropy Measurements
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Wolf, Jonathan, Frost, Daniel A., Brewster, Alexia, Long, Maureen D., Garnero, Ed, and West, John D.
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Observations of seismic waves that have passed through the Earth's lowermost mantle provide insight into deep mantle structure and dynamics, often on relatively small spatial scales. Here we use SKS, S2KS, S3KS, and PKS signals recorded across a large region including the United States, Mexico, and Central America to study the deepest mantle beneath large swaths of North America and the northeastern Pacific Ocean. These phases are enhanced via beamforming and then used to investigate polarization‐ and propagation direction‐dependent shear wave speeds (seismic anisotropy). A differential splitting approach enables us to robustly identify contributions from D″${\mathrm{D}}^{{\prime\prime}}$anisotropy. Our results show strong seismic anisotropy in approximately half of our study region, indicating that D″${\mathrm{D}}^{{\prime\prime}}$anisotropy may be more prevalent than commonly thought. In some regions, the anisotropy may be induced by flow driven by sinking cold slabs, and in other, more compact regions, by upwelling flow. Measured splitting due to lowermost mantle anisotropy is sufficiently strong to be non‐negligible in interpretations of SKS splitting due to upper mantle anisotropy in certain regions, which may prompt future re‐evaluations of upper mantle anisotropy beneath North and Central America. Earthquakes emit seismic waves that travel through Earth's deep interior. In some parts of Earth, the speed of these waves depends on their vibrational directions. In these cases, the material they travel through can be described as seismically anisotropic. Such seismic anisotropy is often caused by material deformation due to convective flow in Earth's interior. We show in this work that Earth's mantle beneath North America and the northeastern Pacific Ocean is seismically anisotropic in many places just above its boundary with the core at a depth of ∼2900km${\sim} 2900\,\text{km}$. In some of these places, the deformation may be caused by sinking subducted slabs, upwelling flow, or changes in horizontal flow at the mantle's lower boundary layer. We additionally show that potential contributions from the lowermost mantle anisotropy cannot always be neglected when measuring seismic anisotropy in other parts of the mantle. We infer D″${\mathrm{D}}^{{\prime\prime}}$seismic anisotropy beneath North America and parts of the Pacific Ocean from beamformed SKS, S2KS, S3KS, and PKS dataWe find widespread seismic anisotropy in the deepest mantle, likely induced by a variety of different convective flow regimesThe influence of the deepest mantle on SKS (usually used to infer upper mantle anisotropy) is non‐negligible in some regions We infer D″${\mathrm{D}}^{{\prime\prime}}$seismic anisotropy beneath North America and parts of the Pacific Ocean from beamformed SKS, S2KS, S3KS, and PKS data We find widespread seismic anisotropy in the deepest mantle, likely induced by a variety of different convective flow regimes The influence of the deepest mantle on SKS (usually used to infer upper mantle anisotropy) is non‐negligible in some regions
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- 2024
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20. Know Thyself: A Cultural Humility Framework for Diabetes Education for LGBTQ Individuals
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Savin, Katie and Garnero, Theresa
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- 2022
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21. Astroglial networks control visual responses of superior collicular neurons and sensory-motor behavior
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Visser, Josien, Milior, Giampaolo, Breton, Rachel, Moulard, Julien, Garnero, Maina, Ezan, Pascal, Ribot, Jérôme, and Rouach, Nathalie
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Astroglial networks closely interact with neuronal populations, but their functional contribution to neuronal representation of sensory information remains unexplored. The superior colliculus (SC) integrates multi-sensory information by generating distinct spatial patterns of neuronal functional responses to specific sensory stimulation. Here, we report that astrocytes from the mouse SC form extensive networks in the retinorecipient layer compared to visual cortex. This strong astroglial connectivity relies on high expression of gap-junction proteins. Genetic disruption of this connectivity functionally impairs SC retinotopic and orientation preference responses. These alterations are region specific, absent in primary visual cortex, and associated at the circuit level with a specific impairment of collicular neurons synaptic transmission. This has implications for SC-related visually induced innate behavior, as disrupting astroglial networks impairs light-evoked temporary arrest. Our results indicate that astroglial networks shape synaptic circuit activity underlying SC functional visual responses and play a crucial role in integrating visual cues to drive sensory-motor behavior.
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- 2024
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22. Advances in Mapping Lowermost Mantle Convective Flow With Seismic Anisotropy Observations
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Wolf, Jonathan, Li, Mingming, Long, Maureen D., and Garnero, Edward
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Convective flow in the deep mantle controls Earth's dynamic evolution, influences plate tectonics, and has shaped Earth's current surface features. Present and past convection‐induced deformation manifests itself in seismic anisotropy, which is particularly strong in the mantle's uppermost and lowermost portions. While the general patterns of seismic anisotropy have been mapped for the upper mantle, anisotropy in the lowermost mantle (called D′′) is at an earlier stage of exploration. Here we review recent progress in methods to measure and interpret D′′ anisotropy. Our understanding of the limitations of existing methods and the development of new measurement strategies have been aided enormously by the availability of high‐performance computing resources. We give an overview of how measurements of seismic anisotropy can help constrain the mineralogy and fabric of the deep mantle. Specifically, new and creative strategies that combine multiple types of observations provide much tighter constraints on the geometry of anisotropy than have previously been possible. We also discuss how deep mantle seismic anisotropy provides insights into lowermost mantle dynamics. We summarize what we have learned so far from measurements of D′′ anisotropy, how inferences of lowermost mantle flow from measurements of seismic anisotropy relate to geodynamic models of mantle flow, and what challenges we face going forward. Finally, we discuss some of the important unsolved problems related to the dynamics of the lowermost mantle that can be elucidated in the future by combining observations of seismic anisotropy with geodynamic predictions of lowermost mantle flow. Earthquakes cause waves that travel through Earth's interior and are recorded by distant seismometers. These seismic waves behave differently depending on the material that they pass through, revealing Earth's material properties. At the very bottom of the mantle, seismic waves sometimes travel at different speeds depending on their direction. This material property is called seismic anisotropy and is caused by material deformation and flow. Global patterns of mantle flow, which is directly connected to surface processes such as the movement of tectonic plates or hotspot volcanism, can therefore be inferred from seismic anisotropy. Recent years have seen advances in anisotropy imaging in the lowermost mantle as well as in numerical calculations of flow in Earth's lowermost mantle. We review the methods that are used to infer lowermost mantle anisotropy. We further give an overview of previous results and interpretations, which include seismic anisotropy caused by upwelling plumes and ancient slab remnants. Future improvements in the fields of seismology, geodynamics, and mineral physics are needed to improve our understanding of global deep mantle flow. Measurement techniques for deep mantle anisotropy have been improved substantially in the last decadeThese improvements enable inferences of deep mantle flow with increasing confidenceKnowledge of mantle dynamics elucidates the drivers of flow, relationships among structures, and Earth's dynamic evolution Measurement techniques for deep mantle anisotropy have been improved substantially in the last decade These improvements enable inferences of deep mantle flow with increasing confidence Knowledge of mantle dynamics elucidates the drivers of flow, relationships among structures, and Earth's dynamic evolution
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- 2024
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23. Ultra‐Low Velocity Zones Beneath the Southern Hemisphere Imaged With Double‐Array Stacking of PcP Waveforms
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Agboola, Kayode J., Hansen, Samantha E., Garnero, Edward J., Rost, Sebastian, Li, Mingming, and Shim, Sang‐Heon
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Ultra‐low velocity zones (ULVZs) are anomalous structures, generally associated with decreased seismic velocity and sometimes an increase in density, that have been detected in some locations atop the Earth's core‐mantle boundary (CMB). A wide range of ULVZ characteristics have been reported by previous studies, leading to many questions regarding their origins. The lowermost mantle beneath Antarctica and surrounding areas is not located near currently active regions of mantle upwelling or downwelling, making it a unique environment in which to study the sources of ULVZs; however, seismic sampling of this portion of the CMB has been sparse. Here, we examine core‐reflected PcP waveforms recorded by seismic stations across Antarctica using a double‐array stacking technique to further elucidate ULVZ structure beneath the southern hemisphere. Our results show widespread, variable ULVZs, some of which can be robustly modeled with 1‐D synthetics; however, others are more complex, which may reflect 2‐D or 3‐D ULVZ structure and/or ULVZs with internal velocity variability. Our findings are consistent with the concept that ULVZs can be largely explained by variable accumulations of subducted oceanic crust along the CMB. Partial melting of subducted crust and other, hydrous subducted materials may also contribute to ULVZ variability. Earth's core‐mantle boundary (CMB), the interface between the solid silicate mantle and the molten iron‐rich outer core, is associated with a range of anomalous structures, including ultra‐low velocity zones (ULVZs). While generally associated with reduced seismic wave velocities and sometimes increased density, prior studies have reported a wide range of ULVZ characteristics, leading to many questions regarding their origins. The lowermost mantle beneath the southern hemisphere provides a unique environment to study ULVZs because it is located away from regions of large‐scale mantle upwelling and downwelling. Our study uses core reflected P‐waves (PcP) recorded by seismic stations in Antarctica to investigate this portion of the CMB for ULVZ presence. We find widespread evidence for variable ULVZ structure. Some of the imaged ULVZs can be modeled with a single layer, but others are more complex. We suggest that the ULVZs beneath the southern hemisphere are predominantly associated with subducted oceanic crust that has variable accumulations along the CMB. In some regions, hydrated subducted materials may also experience partial melting, which may contribute to the complicated ULVZ structures imaged in some locations. Core‐reflected P‐waves are used to investigate ultra‐low velocity zones in the lowermost mantle beneath the southern hemisphereResults show widespread evidence for variable ultra‐low velocity zones, some of which may indicate layered or gradational structureVariable accumulations of subducted oceanic crust with localized partial melting can explain these anomalous structures Core‐reflected P‐waves are used to investigate ultra‐low velocity zones in the lowermost mantle beneath the southern hemisphere Results show widespread evidence for variable ultra‐low velocity zones, some of which may indicate layered or gradational structure Variable accumulations of subducted oceanic crust with localized partial melting can explain these anomalous structures
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- 2024
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24. Solvent Key Parameters for the Wet Chemical Synthesis of the Li3PS4Solid Electrolyte
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Poirier, Romain, Pasquier, David, Lambert, Arnold, Corral Valero, Manuel, Uzio, Denis, and Garnero, Cyril
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Solid sulfide electrolytes hold great promise for making all-solid state batteries a reality. Therefore, their wet chemical synthesis has become increasingly important in recent years due to various benefits such as scalability and versatility. The Li3PS4electrolyte has a relatively high ionic conductivity (≈10–4S cm–1at 25 °C) and can be synthesized in various organic solvents by reacting Li2S and P2S5. It is well-known that the choice of the solvent is critical for the synthesis. Herein, we investigated several new organic polar solvents such as sulfur-based solvents (propanethiol, thiolane, and thiophene), amines, and carbonyls (esters, carbonates, ketones) for the synthesis of Li3PS4. The relationship between the ability to perform the reaction, the ionic conductivity, and the solvents’ characteristics revealed that the electronic density of the polar function plays a key role. The results of this study can be used as a guideline to select new synthesis solvents. We also identify a particular solvent, isobutyl isobutyrate (IBIB), which allows the decomposition of the corresponding Li3PS4solvato-complex below the boiling point of the solvent with one of the highest reported ionic conductivities for the wet chemical method (2.1 × 10–4S cm–1at room temperature).
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- 2024
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25. Organ-specific accumulation of cadmium and zinc in Gammarus fossarum exposed to environmentally relevant metal concentrations.
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Gestin, Ophélia, Lopes, Christelle, Delorme, Nicolas, Garnero, Laura, Geffard, Olivier, and Lacoue-Labarthe, Thomas
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GAMMARUS ,CADMIUM ,METALS ,ZINC ,BAYESIAN field theory ,AQUATIC organisms - Abstract
One of the best approaches for improving the assessment of metal toxicity in aquatic organisms is to study their organotropism (i.e., the distribution of metals among organs) through a dynamical approach (i.e., via kinetic experiments of metal bioaccumulation), to identify the tissues/organs that play a key role in metal regulation (e.g., storage or excretion). This study aims at comparing the organ-specific metal accumulation of a non-essential (Cd) and an essential metal (Zn), at their environmentally relevant exposure concentrations, in the gammarid Gammarus fossarum. Gammarids were exposed for 7 days to
109 Cd- or65 Zn-radiolabeled water at a concentration of 52.1 and 416 ng.L−1 (stable equivalent), respectively, and then placed in clean water for 21 days. At different time intervals, the target organs (i.e., caeca, cephalons, intestines, gills, and remaining tissues) were collected and109 Cd or65 Zn contents were quantified by gamma-spectrometry. A one-compartment toxicokinetic (TK) model was fitted by Bayesian inference to each organ/metal dataset in order to establish TK parameters. Our results indicate: i) a contrasting distribution pattern of concentrations at the end of the accumulation phase (7th day): gills > caeca ≈ intestines > cephalons > remaining tissues for Cd and intestines > caeca > gills > cephalons > remaining tissues for Zn; ii) a slower elimination of Cd than of Zn by all organs, especially in the gills in which the Cd concentration remained constant during the 21-day depuration phase, whereas Zn concentrations decreased sharply in all organs after 24 h in the depuration phase; iii) a major role of intestines in the uptake of waterborne Cd and Zn at environmentally relevant concentrations. [Display omitted] • Uptake and depuration kinetics parameters were assessed by one-compartment TK modelling. • The k u and k e were significantly lower for Cd than for Zn, except for k u of gills. • In depuration, Cd is slowly eliminated by organs and Zn decreases sharply in 24 h. • No elimination of Cd was measured in gills after a 21-day depuration phase. • Intestine is dominant uptake and depuration path for Cd and Zn in dissolved exposure. [ABSTRACT FROM AUTHOR]- Published
- 2022
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26. Observations of Mantle Seismic Anisotropy Using Array Techniques: Shear‐Wave Splitting of Beamformed SmKS Phases
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Wolf, Jonathan, Frost, Daniel A., Long, Maureen D., Garnero, Edward, Aderoju, Adeolu O., Creasy, Neala, and Bozdağ, Ebru
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Shear‐wave splitting measurements are commonly used to resolve seismic anisotropy in both the upper and lowermost mantle. Typically, such techniques are applied to SmKS phases that have reflected (m‐1) times off the underside of the core‐mantle boundary before being recorded. Practical constraints for shear‐wave splitting studies include the limited number of suitable phases as well as the large fraction of available data discarded because of poor signal‐to‐noise ratios (SNRs) or large measurement uncertainties. Array techniques such as beamforming are commonly used in observational seismology to enhance SNRs, but have not been applied before to improve SmKS signal strength and coherency for shear wave splitting studies. Here, we investigate how a beamforming methodology, based on slowness and backazimuth vespagrams to determine the most coherent incoming wave direction, can improve shear‐wave splitting measurement confidence intervals. Through the analysis of real and synthetic seismograms, we show that (a) the splitting measurements obtained from the beamformed seismograms (beams) reflect an average of the single‐station splitting parameters that contribute to the beam; (b) the beams have (on average) more than twice as large SNRs than the single‐station seismograms that contribute to the beam; (c) the increased SNRs allow the reliable measurement of shear wave splitting parameters from beams down to average single‐station SNRs of 1.3. Beamforming may thus be helpful to more reliably measure splitting due to upper mantle anisotropy. Moreover, we show that beamforming holds potential to greatly improve detection of lowermost mantle anisotropy by demonstrating differential SKS–SKKS splitting analysis using beamformed USArray data. When earthquakes occur, seismic waves are produced that travel through the deep Earth to distant seismic stations. In some portions of the Earth, seismic waves traveling in different directions or with different vibration directions travel at different speeds. This phenomenon is known as seismic anisotropy and results from individual mineral crystals aligning with mantle flow. Therefore, by measuring seismic anisotropy, we can obtain insights into how Earth's mantle flows, a process called mantle convection. In this work, we show that seismic anisotropy can be inferred from recordings of seismic phases that are summed (or stacked) across a number of spatially separated stations (seismic arrays). The resulting stacks are also called beams. Beams have an increased signal clarity compared to single‐station seismograms, leading to several advantages for analyses of seismic anisotropy. For example, the increased signal strength in beams allows for the usage of weaker seismic phases, which are not commonly used for measuring seismic anisotropy. Moreover, measurements made on beamformed data are more robust. This new technique enables us to suggest new directions for lowermost mantle anisotropy analyses. Major limitations for shear‐wave splitting measurements are the limited number of suitable phases and low signal‐to‐noise ratios (SNRs)Beamforming enhances the SNR, enabling us to use unusual seismic phases and a larger data fraction for shear‐wave splitting measurementsThis holds potential for investigations of mantle anisotropy, particularly in the lowermost mantle Major limitations for shear‐wave splitting measurements are the limited number of suitable phases and low signal‐to‐noise ratios (SNRs) Beamforming enhances the SNR, enabling us to use unusual seismic phases and a larger data fraction for shear‐wave splitting measurements This holds potential for investigations of mantle anisotropy, particularly in the lowermost mantle
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- 2023
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27. Water‐Induced Diamond Formation at Earth's Core‐Mantle Boundary
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Ko, Byeongkwan, Chariton, Stella, Prakapenka, Vitali, Chen, Bin, Garnero, Edward J., Li, Mingming, and Shim, Sang‐Heon
- Abstract
The carbon and water cycles in the Earth's interior are linked to key planetary processes, such as mantle melting, degassing, chemical differentiation, and advection. However, the role of water in the carbon exchange between the mantle and core is not well known. Here, we show experimental results of a reaction between Fe3C and H2O at pressures and temperatures of the deep mantle and core‐mantle boundary (CMB). The reaction produces diamond, FeO, and FeHx, suggesting that water can liberate carbon from the core in the form of diamond (“core carbon extraction”) while the core gains hydrogen, if subducted water reaches to the CMB. Therefore, Earth's deep water and carbon cycles can be linked. The extracted core carbon can explain a significant amount of the present‐day mantle carbon. Also, if diamond can be collected by mantle flow in the region, it can result in unusually high seismic‐velocity structures. Carbon plays a vital role in geological processes occurring in the Earth's interior. While most carbon on Earth exists in its core, whether or not the core carbon can be added to the mantle is unclear due to the lack of knowledge of possible carbon transfer mechanism at the core‐mantle boundary (CMB). We conducted experiments by reproducing the extreme pressure and temperature conditions of the CMB. Our experiments show that water can react with the metallic iron core and liberate carbon as diamond, suggesting an important relationship between Earth's water and carbon cycles. In addition, our result predicts possible existence of diamond in some regions of the deepest mantle. Water reacts with iron‐carbon alloy to form diamond at the P–Tconditions expected for Earth's core‐mantle boundarySome of Earth's mantle carbon may come from the core through water‐induced reactions at the core‐mantle boundaryDiamonds formed at the core‐mantle boundary may result in high seismic velocity structures in the region Water reacts with iron‐carbon alloy to form diamond at the P–Tconditions expected for Earth's core‐mantle boundary Some of Earth's mantle carbon may come from the core through water‐induced reactions at the core‐mantle boundary Diamonds formed at the core‐mantle boundary may result in high seismic velocity structures in the region
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- 2022
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28. Guidelines for the correct use of the nomenclature of biochemical indices of bone status: a position statement of the Joint IOF Working Group and IFCC Committee on Bone Metabolism.
- Author
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Lombardi G, Jørgensen NR, Harvey NC, McCloskey EV, Åkesson KE, Eastell R, Garnero P, Kanis JA, Khashayar P, Lane NE, McClung MR, Silverman S, Makris K, Bhattoa HP, Vasikaran SD, Pikner R, and Cavalier E
- Abstract
The presented guidelines are an update of the position paper, endorsed by the International Osteoporosis Foundation (IOF), on nomenclature of bone markers published over 2 decades ago. Novel insight into bone biology and pathophysiology of bone disorders has highlighted the increasing relevance of new and known mediators implicated in various aspects of bone metabolism. This updated guideline proposes the nomenclature Bone Status Indices (BSI) as the comprehensive classification rather than bone turnover markers, bone markers, metabolic markers of bone turnover or metabolic markers of bone turnover, that are currently in use for the implicated molecules. On behalf of the IFCC Committee on Bone Metabolism and the Joint IOF Working Group and IFCC Committee on Bone Metabolism, the authors propose standardized nomenclature, abbreviations and measurement units for the bone status indices., (© 2024 Walter de Gruyter GmbH, Berlin/Boston.)
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- 2024
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29. A new serum biochemical marker of synovium turnover predicts radiographic progression in patients with early arthritis.
- Author
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Garnero P, Gineyts E, Rousseau JC, Richette P, Sellam J, and Chapurlat R
- Subjects
- Humans, Prospective Studies, Disease Progression, Synovial Membrane diagnostic imaging, Biomarkers, Arthritis, Rheumatoid complications
- Abstract
Objective: To investigate whether serum Col 3-4, a new biochemical marker of synovial tissue turnover, was associated with progression of joint damage in patients with early arthritis., Methods: A total of 788 early arthritis patients (<6 months of symptoms, 82% diagnosis of RA, 18% undifferentiated arthritis) from the prospective ESPOIR study were investigated. Progression was defined as an increase of 1 or 5 unit(s) in radiographic van der Heijde modified Sharp score between baseline and 1 or 5 years, respectively. Associations between baseline Col 3-4 and progression were assessed by logistic regression., Results: Each standard deviation increase of baseline Col 3-4 levels was associated with an increased 5-yr total damage progression with an odds ratio (OR, 95% CI) of 1.51 (1.21, 1.88), which remained significant when DAS28, C-reactive protein and anti-citrullinated protein antibodies positivity were included in the model [OR (95% CI): 1.34 (1.01, 1.76)]. Further adjustment for bone erosion did not modify the association. Patients with both Col 3-4 in the highest quintile and bone erosion had a >2-fold higher risk of progression [OR (95% CI): 7.16 (2.31, 22)] than patients with either high Col 3-4 [2.91 (1.79, 4.73)] or bone erosion [2.36 (2.38, 3.70)] alone. Similar associations were observed for prediction of 12 months progression., Conclusions: Increased serum Col 3-4 is associated with a higher risk of structural progression, independently of major risk factors. Col 3-4 may be useful in association with bone erosion to identify patients with early arthritis at higher risk., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
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- 2024
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30. Whole-body vibration may not affect bone mineral density and bone turnover in persons with chronic spinal cord injury: A preliminary study.
- Author
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Maïmoun L, Gelis A, Serrand C, Mura T, Brabant S, Garnero P, Mariano-Goulart D, and Fattal C
- Abstract
Context: Spinal-cord injury (SCI) induces bone loss and dramatically increases the risk of fracture., Objectives: Determine the effects of whole-body vibration (WBV) on areal bone mineral density (aBMD), whole body composition and bone biological parameters in individuals with chronic-state SCI., Design: Randomized study., Setting: Centre Neurologique PROPARA., Participants: Fourteen subjects were randomly assigned to a WBV or a control group., Interventions: WBV (20-45 min, 30-45 Hz, 0.5 g) was performed in verticalized persons twice weekly for 6 months., Outcome Measures: aBMD was measured by DXA at baseline and 6 months and bone biological parameters at baseline, 1, 3 and 6 months., Results: No significant aBMD change was found in either the WBV or control group after 6 months of follow-up. Similarly, periostin, sclerostin and bone turnover markers remained relatively stable throughout follow-up and no difference in variation was observed within-group and between groups. Except for whole-body fat mass, which showed a significant decrease in the WBV group compared to controls, no difference in changes was observed, whatever the localization for fat and lean body mass., Conclusions: During the chronic phase, aBMD and bone remodeling reach a new steady state. However, the DXA technique and the bone markers, including sclerostin and periostin, both of which reflect bone cell activity influenced by mechanical strain, showed that the bone tissue of individuals with SCI was insensitive to 6 months of WBV training at the study dose. Nevertheless, results of this preliminary study that was underpowered need to be confirmed and other modalities of WBV may be more effective in improving aBMD of this population., Trials Registration: N°IDRCB:2011-A00224-37.
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- 2023
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31. Serum Col3-4: A new type III and IV collagen biochemical marker of synovial tissue turnover in patients with rheumatoid arthritis.
- Author
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Gineyts E, Millet M, Borel O, Coutant F, Rousseau JC, Chapurlat R, Marotte H, and Garnero P
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- Humans, Female, Middle Aged, Male, Collagen Type IV metabolism, Synovial Membrane metabolism, Biomarkers, Matrix Metalloproteinase 9 metabolism, Arthritis, Rheumatoid metabolism
- Abstract
The objective of this study was to develop a serum biochemical marker of the degradation of type III and IV collagens, as an index of synovium turnover, and evaluate its performance in patients with rheumatoid arthritis (RA). An enzyme-linked immunosorbent assay for serum synovial collagen fragments (Col3-4) was developed using an antibody recognizing a specific sequence from human type III collagen, which shares 70% homology with type IV collagen. Immunohistochemistry was performed to localize Col3-4 and the matrix metalloprotease MMP-9 which is upregulated in RA synovial fibroblasts in the synovial tissue from a RA patient. Serum Col3-4 was measured in patients with RA (n = 66, 73% women, mean age 62 years, median disease activity score 28 with erythrocyte sedimentation rate (DAS28-ESR) 2.6) and in sex and age matched healthy controls (n = 70, 76% women, mean age 59 years). Col3-4 immunoassay demonstrated adequate analytical performances and recognized a circulating neoepitope resulting from the cleavage of type III and IV collagens. In RA synovium tissue, Col3-4 fragments were localized in the lining layer where destructive fibroblasts are present and around blood vessels rich in type IV collagen. MMP-9 colocalized with Col3-4 staining and efficiently released Col3-4 fragments from type III and type IV collagen digestion. Serum Col3-4 was markedly increased in patients with RA (+240% vs controls, p < 0.0001) and correlated with DAS28-ESR (r = 0.53, p < 0.0001). Patients with RA and active disease (DAS28-ESR > 3.2, n = 20) had 896% (p < 0.0001) higher levels than subjects with low activity (n = 46). Serum Col3-4 is a specific and sensitive biochemical marker reflecting MMP- mediated type III and IV collagen degradation from synovial tissue. Serum Col3-4 levels are markedly increased in patients with RA, particularly in those with active disease, suggesting that it may be useful for the clinical investigation of RA., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Gineyts et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2023
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