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371 results on '"Pau A"'

3. Author Correction: Discovery of circulating miRNAs as biomarkers of chronic Chagas heart disease via a small RNA-Seq approach

Author

Villar, Silvina R., Herreros-Cabello, Alfonso, Callejas-Hernández, Francisco, Maza, María C., del Moral-Salmoral, Javier, Gómez-Montes, Mario, Rodríguez-Angulo, Héctor O., Carrillo, Irene, Górgolas, Miguel, Bosch-Nicolau, Pau, Molina, Israel, Pérez-Molina, José A., Monge-Maillo, Begoña, Bottasso, Oscar A., Beloscar, Juan, Pérez, Ana R., Fresno, Manuel, and Gironès, Núria

Published
2024
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7. Discovery of circulating miRNAs as biomarkers of chronic Chagas heart disease via a small RNA-Seq approach

Author

Villar, Silvina R., Herreros-Cabello, Alfonso, Callejas-Hernández, Francisco, Maza, María C., del Moral-Salmoral, Javier, Gómez-Montes, Mario, Rodríguez-Angulo, Héctor O., Carrillo, Irene, Górgolas, Miguel, Bosch-Nicolau, Pau, Molina, Israel, Pérez-Molina, José A., Monge-Maillo, Begoña, Bottasso, Oscar A., Beloscar, Juan, Pérez, Ana R., Fresno, Manuel, and Gironès, Núria

Published
2024
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18. Machine learning allows robust classification of visceral fat in women with obesity using common laboratory metrics.

Author

Palmieri, Flavio, Akhtar, Nidà Farooq, Pané, Adriana, Jiménez, Amanda, Olbeyra, Romina Paula, Viaplana, Judith, Vidal, Josep, de Hollanda, Ana, Gama-Perez, Pau, Jiménez-Chillarón, Josep C., and Garcia-Roves, Pablo M.

Subjects
SUPERVISED learning, OVERWEIGHT women, MATHEMATICAL formulas, RECEIVER operating characteristic curves, SUPPORT vector machines, FAT, MACHINE learning, OBESITY in women
Abstract

The excessive accumulation and malfunctioning of visceral adipose tissue (VAT) is a major determinant of increased risk of obesity-related comorbidities. Thus, risk stratification of people living with obesity according to their amount of VAT is of clinical interest. Currently, the most common VAT measurement methods include mathematical formulae based on anthropometric dimensions, often biased by human measurement errors, bio-impedance, and image techniques such as X-ray absorptiometry (DXA) analysis, which requires specialized equipment. However, previous studies showed the possibility of classifying people living with obesity according to their VAT through blood chemical concentrations by applying machine learning techniques. In addition, most of the efforts were spent on men living with obesity while little was done for women. Therefore, this study aims to compare the performance of the multilinear regression model (MLR) in estimating VAT and six different supervised machine learning classifiers, including logistic regression (LR), support vector machine and decision tree-based models, to categorize 149 women living with obesity. For clustering, the study population was categorized into classes 0, 1, and 2 according to their VAT and the accuracy of each MLR and classification model was evaluated using DXA-data (DXAdata), blood chemical concentrations (BLDdata), and both DXAdata and BLDdata together (ALLdata). Estimation error and R 2 were computed for MLR, while receiver operating characteristic (ROC) and precision-recall curves (PR) area under the curve (AUC) were used to assess the performance of every classification model. MLR models showed a poor ability to estimate VAT with mean absolute error ≥ 401.40 and R 2 ≤ 0.62 in all the datasets. The highest accuracy was found for LR with values of 0.57, 0.63, and 0.53 for ALLdata, DXAdata, and BLDdata, respectively. The ROC AUC showed a poor ability of both ALLdata and DXAdata to distinguish class 1 from classes 0 and 2 (AUC = 0.31, 0.71, and 0.85, respectively) as also confirmed by PR (AUC = 0.24, 0.57, and 0.73, respectively). However, improved performances were obtained when applying LR model to BLDdata (ROC AUC ≥ 0.61 and PR AUC ≥ 0.42), especially for class 1. These results seem to suggest that, while a direct and reliable estimation of VAT was not possible in our cohort, blood sample-derived information can robustly classify women living with obesity by machine learning-based classifiers, a fact that could benefit the clinical practice, especially in those health centres where medical imaging devices are not available. Nonetheless, these promising findings should be further validated over a larger population. [ABSTRACT FROM AUTHOR]

Published
2024
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19. LPS-TLR4 Pathway Mediates Ductular Cell Expansion in Alcoholic Hepatitis.

Author

Odena, Gemma, Chen, Jiegen, Lozano, Juan Jose, Altamirano, Jose, Rodrigo-Torres, Daniel, Affo, Silvia, Morales-Ibanez, Oriol, Matsushita, Hiroshi, Zou, Jian, Dumitru, Raluca, Caballeria, Juan, Gines, Pere, Arroyo, Vicente, You, Min, Rautou, Pierre-Emmanuel, Valla, Dominique, Crews, Fulton, Seki, Ekihiro, Sancho-Bru, Pau, and Bataller, Ramon

Subjects
Hepatic Duct, Common, Cells, Cultured, Hepatocytes, Animals, Mice, Inbred BALB C, Mice, Knockout, Humans, Mice, Hepatitis, Alcoholic, Collagen, Lipopolysaccharides, Gene Expression Profiling, Signal Transduction, Cell Proliferation, Gene Expression Regulation, Middle Aged, Female, Male, Toll-Like Receptor 4, Keratins, Type I, Biotechnology, Substance Abuse, Hepatitis, Alcoholism, Alcohol Use and Health, Digestive Diseases, Liver Disease, Chronic Liver Disease and Cirrhosis, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Oral and Gastrointestinal, Hepatic Duct, Common, Cells, Cultured, Inbred BALB C, Knockout, Alcoholic, Keratins, Type I, Biochemistry and Cell Biology, Other Physical Sciences
Abstract

Alcoholic hepatitis (AH) is the most severe form of alcoholic liver disease for which there are no effective therapies. Patients with AH show impaired hepatocyte proliferation, expansion of inefficient ductular cells and high lipopolysaccharide (LPS) levels. It is unknown whether LPS mediates ductular cell expansion. We performed transcriptome studies and identified keratin 23 (KRT23) as a new ductular cell marker. KRT23 expression correlated with mortality and LPS serum levels. LPS-TLR4 pathway role in ductular cell expansion was assessed in human and mouse progenitor cells, liver slices and liver injured TLR4 KO mice. In AH patients, ductular cell expansion correlated with portal hypertension and collagen expression. Functional studies in ductular cells showed that KRT23 regulates collagen expression. These results support a role for LPS-TLR4 pathway in promoting ductular reaction in AH. Maneuvers aimed at decreasing LPS serum levels in AH patients could have beneficial effects by preventing ductular reaction development.

Published
2016

24. Prognostic significance of FLT3-ITD length in AML patients treated with intensive regimens

Author

Castaño-Bonilla, Tamara, Alonso-Dominguez, Juan M., Barragán, Eva, Rodríguez-Veiga, Rebeca, Sargas, Claudia, Gil, Cristina, Chillón, Carmen, Vidriales, María B., García, Raimundo, Martínez-López, Joaquín, Ayala, Rosa, Larrayoz, María J., Anguita, Eduardo, Cuello, Rebeca, Cantalapiedra, Alberto, Carrillo, Estrella, Soria-Saldise, Elena, Labrador, Jorge, Recio, Isabel, Algarra, Lorenzo, Rodríguez-Medina, Carlos, Bilbao-Syeiro, Cristina, López-López, Juan A., Serrano, Josefina, De Cabo, Erik, Sayas, María J., Olave, María T., Sánchez-García, Joaquín, Mateos, Mamen, Blas, Carlos, López-Lorenzo, Jose L., Lainez-Gonzalez, Daniel, Serrano, Juana, Martínez-Cuadrón, David, Sanz, Miguel A., and Montesinos, Pau

Published
2021
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31. Fatality rate and predictors of mortality in an Italian cohort of hospitalized COVID-19 patients

Author

Bellan, Mattia, Patti, Giuseppe, Hayden, Eyal, Azzolina, Danila, Pirisi, Mario, Acquaviva, Antonio, Aimaretti, Gianluca, Aluffi Valletti, Paolo, Angilletta, Roberto, Arioli, Roberto, Avanzi, Gian Carlo, Avino, Gianluca, Balbo, Piero Emilio, Baldon, Giulia, Baorda, Francesca, Barbero, Emanuela, Baricich, Alessio, Barini, Michela, Barone-Adesi, Francesco, Battistini, Sofia, Beltrame, Michela, Bertoli, Matteo, Bertolin, Stephanie, Bertolotti, Marinella, Betti, Marta, Bobbio, Flavio, Boffano, Paolo, Boglione, Lucio, Borrè, Silvio, Brucoli, Matteo, Calzaducca, Elisa, Cammarata, Edoardo, Cantaluppi, Vincenzo, Cantello, Roberto, Capponi, Andrea, Carriero, Alessandro, Casciaro, Francesco Giuseppe, Castello, Luigi Mario, Ceruti, Federico, Chichino, Guido, Chirico, Emilio, Cisari, Carlo, Cittone, Micol Giulia, Colombo, Crizia, Comi, Cristoforo, Croce, Eleonora, Daffara, Tommaso, Danna, Pietro, Della Corte, Francesco, De Vecchi, Simona, Dianzani, Umberto, Di Benedetto, Davide, Esposto, Elia, Faggiano, Fabrizio, Falaschi, Zeno, Ferrante, Daniela, Ferrero, Alice, Gagliardi, Ileana, Gaidano, Gianluca, Galbiati, Alessandra, Gallo, Silvia, Garavelli, Pietro Luigi, Gardino, Clara Ada, Garzaro, Massimiliano, Gastaldello, Maria Luisa, Gavelli, Francesco, Gennari, Alessandra, Giacomini, Greta Maria, Giacone, Irene, Giai Via, Valentina, Giolitti, Francesca, Gironi, Laura Cristina, Gramaglia, Carla, Grisafi, Leonardo, Inserra, Ilaria, Invernizzi, Marco, Krengli, Marco, Labella, Emanuela, Landi, Irene Cecilia, Landi, Raffaella, Leone, Ilaria, Lio, Veronica, Lorenzini, Luca, Maconi, Antonio, Malerba, Mario, Manfredi, Giulia Francesca, Martelli, Maria, Marzari, Letizia, Marzullo, Paolo, Mennuni, Marco, Montabone, Claudia, Morosini, Umberto, Mussa, Marco, Nerici, Ilaria, Nuzzo, Alessandro, Olivieri, Carlo, Padelli, Samuel Alberto, Panella, Massimiliano, Parisini, Andrea, Paschè, Alessio, Pau, Alberto, Pedrinelli, Anita Rebecca, Percivale, Ilaria, Re, Roberta, Rigamonti, Cristina, Rizzi, Eleonora, Rognoni, Andrea, Roveta, Annalisa, Salamina, Luigia, Santagostino, Matteo, Saraceno, Massimo, Savoia, Paola, Sciarra, Marco, Schimmenti, Andrea, Scotti, Lorenza, Spinoni, Enrico, Smirne, Carlo, Tarantino, Vanessa, Tillio, Paolo Amedeo, Vaschetto, Rosanna, Vassia, Veronica, Zagaria, Domenico, Zavattaro, Elisa, Zeppegno, Patrizia, Zottarelli, Francesca, and Sainaghi, Pier Paolo

Published
2020
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32. Discovery and validation of an NMR-based metabolomic profile in urine as TB biomarker

Author

Izquierdo-Garcia, José Luis, Comella-del-Barrio, Patricia, Campos-Olivas, Ramón, Villar-Hernández, Raquel, Prat-Aymerich, Cristina, De Souza-Galvão, Maria Luiza, Jiménez-Fuentes, Maria Angeles, Ruiz-Manzano, Juan, Stojanovic, Zoran, González, Adela, Serra-Vidal, Mar, García-García, Esther, Muriel-Moreno, Beatriz, Millet, Joan Pau, Molina-Pinargote, Israel, Casas, Xavier, Santiago, Javier, Sabriá, Fina, Martos, Carmen, Herzmann, Christian, Ruiz-Cabello, Jesús, and Domínguez, José

Published
2020
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40. Analysis of SNP Array Abnormalities in Patients with DE NOVO Acute Myeloid Leukemia with Normal Karyotype

Author

Ibáñez, Mariam, Such, Esperanza, Onecha, Esther, Gómez-Seguí, Inés, Liquori, Alessandro, Sellés, Jorge, Hervás-Marín, David, Barragán, Eva, Ayala, Rosa, LLop, Marta, López-Pavía, María, Rapado, Inmaculada, Neef, Alex, Sanjuan-Pla, Alejandra, Sargas, Claudia, Gonzalez-Romero, Elisa, Boluda-Navarro, Mireia, Andreu, Rafa, Senent, Leonor, Montesinos, Pau, Martínez-López, Joaquín, Angel Sanz, Miguel, Sanz, Guillermo, and Cervera, José

Published
2020
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