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20 results on '"P. Severi"'

3. Association of SARS-CoV-2 infection with physical activity domains and types

Author

Vanhelst, Jérémy, Srour, Bernard, Bourhis, Laurent, Charreire, Hélène, VerdotDeschasaux-Tanguy, Charlotte Mélanie, Druesne-Pecollo, Nathalie, de Edelenyi, Fabien Szabo, Allègre, Julien, Allès, Benjamin, Deschamps, Valérie, Bellicha, Alice, Fezeu, Leopold K., Galan, Pilar, Julia, Chantal, Kesse-Guyot, Emmanuelle, Hercberg, Serge, Bajos, Nathalie, Severi, Gianluca, Zins, Marie, de Lamballerie, Xavier, Carrat, Fabrice, Oppert, Jean-Michel, and Touvier, Mathilde

Published
2023
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7. Transcriptomic profiling of calcified aortic valves in clonal hematopoiesis of indeterminate potential carriers

Author

Vieceli Dalla Sega, Francesco, Palumbo, Domenico, Fortini, Francesca, D’Agostino, Ylenia, Cimaglia, Paolo, Marracino, Luisa, Severi, Paolo, Strianese, Oriana, Tarallo, Roberta, Nassa, Giovanni, Giurato, Giorgio, Pecoraro, Giovanni, Caglioni, Serena, Mikus, Elisa, Albertini, Alberto, Campo, Gianluca, Ferrari, Roberto, Rizzo, Paola, Weisz, Alessandro, and Rizzo, Francesca

Published
2022
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8. Noninvasive quantification of blood potassium concentration from ECG in hemodialysis patients

Author

Corsi, Cristiana, Cortesi, Marilisa, Callisesi, Giulia, De Bie, Johan, Napolitano, Carlo, Santoro, Antonio, Mortara, David, and Severi, Stefano

Subjects
Biomedical and Clinical Sciences, Engineering, Biomedical Engineering, Bioengineering, Clinical Research, Adolescent, Adult, Child, Electrocardiography, Female, Humans, Long QT Syndrome, Male, Middle Aged, Potassium, Renal Dialysis, Young Adult
Abstract

Blood potassium concentration ([K+]) influences the electrocardiogram (ECG), particularly T-wave morphology. We developed a new method to quantify [K+] from T-wave analysis and tested its clinical applicability on data from dialysis patients, in whom [K+] varies significantly during the therapy. To elucidate the mechanism linking [K+] and T-wave, we also analysed data from long QT syndrome type 2 (LQT2) patients, testing the hypothesis that our method would have underestimated [K+] in these patients. Moreover, a computational model was used to explore the physiological processes underlying our estimator at the cellular level. We analysed 12-lead ECGs from 45 haemodialysis and 12 LQT2 patients. T-wave amplitude and downslope were calculated from the first two eigenleads. The T-wave slope-to-amplitude ratio (TS/A) was used as starting point for an ECG-based [K+] estimate (KECG). Leave-one-out cross-validation was performed. Agreement between KECG and reference [K+] from blood samples was promising (error: -0.09 ± 0.59 mM, absolute error: 0.46 ± 0.39 mM). The analysis on LQT2 patients, also supported by the outcome of computational analysis, reinforces our interpretation that, at the cellular level, delayed-rectifier potassium current is a main contributor of KECG correlation to blood [K+]. Following a comprehensive validation, this method could be effectively applied to monitor patients at risk for hyper/hypokalemia.

Published
2017

9. The causal relevance of body mass index in different histological types of lung cancer: A Mendelian randomization study.

Author

Carreras-Torres, Robert, Haycock, Philip C, Relton, Caroline L, Martin, Richard M, Smith, George Davey, Kraft, Peter, Gao, Chi, Tworoger, Shelley, Le Marchand, Loïc, Wilkens, Lynne R, Park, Sungshim L, Haiman, Christopher, Field, John K, Davies, Michael, Marcus, Michael, Liu, Geoffrey, Caporaso, Neil E, Christiani, David C, Wei, Yongyue, Chen, Chu, Doherty, Jennifer A, Severi, Gianluca, Goodman, Gary E, Hung, Rayjean J, Amos, Christopher I, McKay, James, Johansson, Mattias, and Brennan, Paul

Subjects
Humans, Lung Neoplasms, Body Mass Index, Risk Factors, Case-Control Studies, Smoking, Female, Male, Mendelian Randomization Analysis
Abstract

Body mass index (BMI) is inversely associated with lung cancer risk in observational studies, even though it increases the risk of several other cancers, which could indicate confounding by tobacco smoking or reverse causality. We used the two-sample Mendelian randomization (MR) approach to circumvent these limitations of observational epidemiology by constructing a genetic instrument for BMI, based on results from the GIANT consortium, which was evaluated in relation to lung cancer risk using GWAS results on 16,572 lung cancer cases and 21,480 controls. Results were stratified by histological subtype, smoking status and sex. An increase of one standard deviation (SD) in BMI (4.65 Kg/m(2)) raised the risk for lung cancer overall (OR = 1.13; P = 0.10). This was driven by associations with squamous cell (SQ) carcinoma (OR = 1.45; P = 1.2 × 10(-3)) and small cell (SC) carcinoma (OR = 1.81; P = 0.01). An inverse trend was seen for adenocarcinoma (AD) (OR = 0.82; P = 0.06). In stratified analyses, a 1 SD increase in BMI was inversely associated with overall lung cancer in never smokers (OR = 0.50; P = 0.02). These results indicate that higher BMI may increase the risk of certain types of lung cancer, in particular SQ and SC carcinoma.

Published
2016

15. Overexpression of cyclooxygenase-2 in adipocytes reduces fat accumulation in inguinal white adipose tissue and hepatic steatosis in high-fat fed mice

Author

Banhos Danneskiold-Samsøe, Niels, Sonne, Si Brask, Larsen, Jeppe Madura, Hansen, Ann Normann, Fjære, Even, Isidor, Marie Sophie, Petersen, Sidsel, Henningsen, Jeanette, Severi, Ilenia, Sartini, Loris, Schober, Yvonne, Wolf, Jacqueline, Nockher, W. Andreas, Wolfrum, Christian, Cinti, Saverio, Sina, Christian, Hansen, Jacob B., Madsen, Lise, Brix, Susanne, and Kristiansen, Karsten

Published
2019
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