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2. Differential expression patterns of long noncoding RNAs in a pleiomorphic diatom and relation to hyposalinity

Author

Ahmed Debit, Florent Charton, Priscillia Pierre-Elies, Chris Bowler, and Helena Cruz de Carvalho

Subjects
Medicine, Science
Abstract

Abstract Long non-coding (lnc)RNAs have been shown to have central roles in stress responses, cell identity and developmental processes in multicellular organisms as well as in unicellular fungi. Previous works have shown the occurrence of lncRNAs in diatoms, namely in Phaeodactylum tricornutum, many of which being expressed under specific stress conditions. Interestingly, P. tricornutum is the only known diatom that has a demonstrated morphological plasticity, occurring in three distinct morphotypes: fusiform, triradiate and oval. Although the morphotypes are interchangeable, the fusiform is the dominant one while both the triradiate and the oval forms are less common, the latter often being associated with stress conditions such as low salinity and solid culture media, amongst others. Nonetheless, the molecular basis underpinning morphotype identity in P. tricornutum remains elusive. Using twelve previously published transcriptomic datasets originating from the three morphotypes of P. tricornutum, we sought to investigate the expression patterns of lncRNAs (lincRNAs and NATs) in these distinct morphotypes, using pairwise comparisons, in order to explore the putative involvement of these noncoding molecules in morphotype identity. We found that differentially expressed lncRNAs cluster according to morphotype, indicating that lncRNAs are not randomly expressed, but rather seem to provide a specific (noncoding) transcriptomic signature of the morphotype. We also present evidence to suggest that the major differences in DE genes (both noncoding and coding) between the stress related oval morphotype and the most common fusiform morphotype could be due, to a large extent, to the hyposaline culture conditions rather than to the morphotype itself. However, several lncRNAs associated to each one of the three morphotypes were identified, which could have a potential role in morphotype (or cell) identity in P. tricornutum, similar to what has been found in both animals and plant development.

Published
2023
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4. Evolutionary genomics of the emergence of brown algae as key components of coastal ecosystems

Author

Denoeud, France, Godfroy, Olivier, Cruaud, Corinne, Heesch, Svenja, Nehr, Zofia, Tadrent, Nachida, Couloux, Arnaud, Brillet-guéguen, Loraine, Delage, Ludovic, Mckeown, Dean, Motomura, Taizo, Sussfeld, Duncan, Fan, Xiao, Mazéas, Lisa, Terrapon, Nicolas, Barrera-redondo, Josué, Petroll, Romy, Reynes, Lauric, Choi, Seok-wan, Jo, Jihoon, Uthanumallian, Kavitha, Bogaert, Kenny, Duc, Céline, Ratchinski, Pélagie, Lipinska, Agnieszka, Noel, Benjamin, Murphy, Eleanor A., Lohr, Martin, Khatei, Ananya, Hamon-giraud, Pauline, Vieira, Christophe, Akerfors, Svea Sanja, Akita, Shingo, Avia, Komlan, Badis, Yacine, Barbeyron, Tristan, Belcour, Arnaud, Berrabah, Wahiba, Blanquart, Samuel, Bouguerba-collin, Ahlem, Bringloe, Trevor, Cattolico, Rose Ann, Cormier, Alexandre, Cruz De Carvalho, Helena, Dallet, Romain, De Clerck, Olivier, Debit, Ahmed, Denis, Erwan, Destombe, Christophe, Dinatale, Erica, Dittami, Simon, Drula, Elodie, Faugeron, Sylvain, Got, Jeanne, Graf, Louis, Groisillier, Agnès, Guillemin, Marie-laure, Harms, Lars, Hatchett, William John, Henrissat, Bernard, Hoarau, Galice, Jollivet, Chloé, Jueterbock, Alexander, Kayal, Ehsan, Kogame, Kazuhiro, Le Bars, Arthur, Leblanc, Catherine, Ley, Ronja, Liu, Xi, Lopez, Pascal Jean, Lopez, Philippe, Manirakiza, Eric, Massau, Karine, Mauger, Stéphane, Mest, Laetitia, Michel, Gurvan, Monteiro, Catia, Nagasato, Chikako, Nègre, Delphine, Pelletier, Eric, Phillips, Naomi, Potin, Philippe, Rensing, Stefan A., Rousselot, Ellyn, Rousvoal, Sylvie, Schroeder, Declan, Scornet, Delphine, Siegel, Anne, Tirichine, Leila, Tonon, Thierry, Valentin, Klaus, Verbruggen, Heroen, Weinberger, Florian, Wheeler, Glen, Kawai, Hiroshi, Peters, Akira F., Yoon, Hwan Su, Hervé, Cecile, Ye, Naihao, Bapteste, Eric, Valero, Myriam, Markov, Gabriel V., Corre, Erwan, Coelho, Susana M., Wincker, Patrick, Aury, Jean-marc, Cock, J. Mark, Denoeud, France, Godfroy, Olivier, Cruaud, Corinne, Heesch, Svenja, Nehr, Zofia, Tadrent, Nachida, Couloux, Arnaud, Brillet-guéguen, Loraine, Delage, Ludovic, Mckeown, Dean, Motomura, Taizo, Sussfeld, Duncan, Fan, Xiao, Mazéas, Lisa, Terrapon, Nicolas, Barrera-redondo, Josué, Petroll, Romy, Reynes, Lauric, Choi, Seok-wan, Jo, Jihoon, Uthanumallian, Kavitha, Bogaert, Kenny, Duc, Céline, Ratchinski, Pélagie, Lipinska, Agnieszka, Noel, Benjamin, Murphy, Eleanor A., Lohr, Martin, Khatei, Ananya, Hamon-giraud, Pauline, Vieira, Christophe, Akerfors, Svea Sanja, Akita, Shingo, Avia, Komlan, Badis, Yacine, Barbeyron, Tristan, Belcour, Arnaud, Berrabah, Wahiba, Blanquart, Samuel, Bouguerba-collin, Ahlem, Bringloe, Trevor, Cattolico, Rose Ann, Cormier, Alexandre, Cruz De Carvalho, Helena, Dallet, Romain, De Clerck, Olivier, Debit, Ahmed, Denis, Erwan, Destombe, Christophe, Dinatale, Erica, Dittami, Simon, Drula, Elodie, Faugeron, Sylvain, Got, Jeanne, Graf, Louis, Groisillier, Agnès, Guillemin, Marie-laure, Harms, Lars, Hatchett, William John, Henrissat, Bernard, Hoarau, Galice, Jollivet, Chloé, Jueterbock, Alexander, Kayal, Ehsan, Kogame, Kazuhiro, Le Bars, Arthur, Leblanc, Catherine, Ley, Ronja, Liu, Xi, Lopez, Pascal Jean, Lopez, Philippe, Manirakiza, Eric, Massau, Karine, Mauger, Stéphane, Mest, Laetitia, Michel, Gurvan, Monteiro, Catia, Nagasato, Chikako, Nègre, Delphine, Pelletier, Eric, Phillips, Naomi, Potin, Philippe, Rensing, Stefan A., Rousselot, Ellyn, Rousvoal, Sylvie, Schroeder, Declan, Scornet, Delphine, Siegel, Anne, Tirichine, Leila, Tonon, Thierry, Valentin, Klaus, Verbruggen, Heroen, Weinberger, Florian, Wheeler, Glen, Kawai, Hiroshi, Peters, Akira F., Yoon, Hwan Su, Hervé, Cecile, Ye, Naihao, Bapteste, Eric, Valero, Myriam, Markov, Gabriel V., Corre, Erwan, Coelho, Susana M., Wincker, Patrick, Aury, Jean-marc, and Cock, J. Mark

Abstract

Brown seaweeds are keystone species of coastal ecosystems, often forming extensive underwater forests, that are under considerable threat from climate change. Despite their ecological and evolutionary importance, this phylogenetic group, which is very distantly related to animals and land plants, is still poorly characterised at the genome level. Here we analyse 60 new genomes that include species from all the major brown algal orders. Comparative analysis of these genomes indicated the occurrence of several major events coinciding approximately with the emergence of the brown algal lineage. These included marked gain of new orthologous gene families, enhanced protein domain rearrangement, horizontal gene transfer events and the acquisition of novel signalling molecules and metabolic pathways. The latter include enzymes implicated in processes emblematic of the brown algae such as biosynthesis of the alginate-based extracellular matrix, and halogen and phlorotannin biosynthesis. These early genomic innovations enabled the adaptation of brown algae to their intertidal habitats. The subsequent diversification of the brown algal orders tended to involve loss of gene families, and genomic features were identified that correlated with the emergence of differences in life cycle strategy, flagellar structure and halogen metabolism. We show that integration of large viral genomes has had a significant impact on brown algal genome content and propose that this process has persisted throughout the evolutionary history of the lineage. Finally, analysis of microevolutionary patterns within the genusEctocarpusindicated that deep gene flow between species may be an important factor in genome evolution on more recent timescales.

Published
2024
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6. Evolutionary genomics of the emergence of brown algae as key components of coastal ecosystems

Author

Denoeud, France, primary, Godfroy, Olivier, additional, Cruaud, Corinne, additional, Heesch, Svenja, additional, Nehr, Zofia, additional, Tadrent, Nachida, additional, Couloux, Arnaud, additional, Brillet-Guéguen, Loraine, additional, Delage, Ludovic, additional, Mckeown, Dean, additional, Motomura, Taizo, additional, Sussfeld, Duncan, additional, Fan, Xiao, additional, Mazéas, Lisa, additional, Terrapon, Nicolas, additional, Barrera-Redondo, Josué, additional, Petroll, Romy, additional, Reynes, Lauric, additional, Choi, Seok-Wan, additional, Jo, Jihoon, additional, Uthanumallian, Kavitha, additional, Bogaert, Kenny, additional, Duc, Céline, additional, Ratchinski, Pélagie, additional, Lipinska, Agnieszka, additional, Noel, Benjamin, additional, Murphy, Eleanor A., additional, Lohr, Martin, additional, Khatei, Ananya, additional, Hamon-Giraud, Pauline, additional, Vieira, Christophe, additional, Akerfors, Svea Sanja, additional, Akita, Shingo, additional, Avia, Komlan, additional, Badis, Yacine, additional, Barbeyron, Tristan, additional, Belcour, Arnaud, additional, Berrabah, Wahiba, additional, Blanquart, Samuel, additional, Bouguerba-Collin, Ahlem, additional, Bringloe, Trevor, additional, Cattolico, Rose Ann, additional, Cormier, Alexandre, additional, Cruz de Carvalho, Helena, additional, Dallet, Romain, additional, De Clerck, Olivier, additional, Debit, Ahmed, additional, Denis, Erwan, additional, Destombe, Christophe, additional, Dinatale, Erica, additional, Dittami, Simon, additional, Drula, Elodie, additional, Faugeron, Sylvain, additional, Got, Jeanne, additional, Graf, Louis, additional, Groisillier, Agnès, additional, Guillemin, Marie-Laure, additional, Harms, Lars, additional, Hatchett, William John, additional, Henrissat, Bernard, additional, Hoarau, Galice, additional, Jollivet, Chloé, additional, Jueterbock, Alexander, additional, Kayal, Ehsan, additional, Kogame, Kazuhiro, additional, Bars, Arthur Le, additional, Leblanc, Catherine, additional, Ley, Ronja, additional, Liu, Xi, additional, Lopez, Pascal Jean, additional, Lopez, Philippe, additional, Manirakiza, Eric, additional, Massau, Karine, additional, Mauger, Stéphane, additional, Mest, Laetitia, additional, Michel, Gurvan, additional, Monteiro, Catia, additional, Nagasato, Chikako, additional, Nègre, Delphine, additional, Pelletier, Eric, additional, Phillips, Naomi, additional, Potin, Philippe, additional, Rensing, Stefan A., additional, Rousselot, Ellyn, additional, Rousvoal, Sylvie, additional, Schroeder, Declan, additional, Scornet, Delphine, additional, Siegel, Anne, additional, Tirichine, Leila, additional, Tonon, Thierry, additional, Valentin, Klaus, additional, Verbruggen, Heroen, additional, Weinberger, Florian, additional, Wheeler, Glen, additional, Kawai, Hiroshi, additional, Peters, Akira F., additional, Yoon, Hwan Su, additional, Hervé, Cécile, additional, Ye, Naihao, additional, Bapteste, Eric, additional, Valero, Myriam, additional, Markov, Gabriel V., additional, Corre, Erwan, additional, Coelho, Susana M., additional, Wincker, Patrick, additional, Aury, Jean-Marc, additional, and Cock, J. Mark, additional

Published
2024
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8. Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites

Author

Jeanne P. Uyisenga, Ahmed Debit, Christophe Poulet, Pierre Frères, Aurélie Poncin, Jérôme Thiry, Leon Mutesa, Guy Jerusalem, Vincent Bours, and Claire Josse

Subjects
Medicine, Science
Abstract

Abstract Circulating microRNAs are non-invasive biomarkers that can be used for breast cancer diagnosis. However, differences in cancer tissue microRNA expression are observed in populations with different genetic/environmental backgrounds. This work aims at checking if a previously identified diagnostic circulating microRNA signature is efficient in other genetic and environmental contexts, and if a universal circulating signature might be possible. Two populations are used: women recruited in Belgium and Rwanda. Breast cancer patients and healthy controls were recruited in both populations (Belgium: 143 primary breast cancers and 136 healthy controls; Rwanda: 82 primary breast cancers and 73 healthy controls; Ntot = 434), and cohorts with matched age and cancer subtypes were compared. Plasmatic microRNA profiling was performed by RT-qPCR. Random Forest was used to (1) evaluate the performances of the previously described breast cancer diagnostic tool identified in Belgian-recruited cohorts on Rwandan-recruited cohorts and vice versa; (2) define new diagnostic signatures common to both recruitment sites; (3) define new diagnostic signatures efficient in the Rwandan population. None of the circulating microRNA signatures identified is accurate enough to be used as a diagnostic test in both populations. However, accurate circulating microRNA signatures can be found for each specific population, when taken separately.

Published
2021
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14. Man vs Machine

Author

Katharina Korbjuhn, Alessandro Furchino Capria, Claire Sullivan, Francelle Daly, Hamzat Raheem, Haley Wollens, Javier Irigoyen, Kenyon Anderson, Kyle Keese, Loretta Fahrenholz, Natacha Voranger, Theo Liu, Tobias Spichtig, Tomo Jidai, Susanne Jonas, William Wiebe, Jak Ritger, Kay Kasparhauser, Reggie James, Nelya Rosa, Analisa Teachworth, Anna von Raison, Alex de Brabant, Au Haddad, Ali Michael, Billy Rennekamp, Calla Henkel, Caroline Busta, Dan Thawley, Elise By Olsen, Grimes, Hugo Hoppmann, He Xiangiu, Lil Internet, Karl Holmqvist, Lengua, Lynn Hershman Leeson, Mat Dryhurst, Max Pitegoff, Paloma Elsesser, Sean Monahan, Shumon Basar, Simon Denny, Theresa Patzschke, Thyago Sainte, Yngve Holen, Shawn Dezan, Jemima @Ikki Casting, Alexander Dexter Jones, Debit, Ian Glover, Uschi Korbjuhn, Andrea Wiedmer, Joanna Della Valle, Emanuele Della Valle, Tobias Rauscher, Eric Torstensen, Jacqueline Sullivan Gallery, Harris Rosenblum, Arthur @ Next NY, Harvard Lab, Katharina Korbjuhn, Alessandro Furchino Capria, Claire Sullivan, Francelle Daly, Hamzat Raheem, Haley Wollens, Javier Irigoyen, Kenyon Anderson, Kyle Keese, Loretta Fahrenholz, Natacha Voranger, Theo Liu, Tobias Spichtig, Tomo Jidai, Susanne Jonas, William Wiebe, Jak Ritger, Kay Kasparhauser, Reggie James, Nelya Rosa, Analisa Teachworth, Anna von Raison, Alex de Brabant, Au Haddad, Ali Michael, Billy Rennekamp, Calla Henkel, Caroline Busta, Dan Thawley, Elise By Olsen, Grimes, Hugo Hoppmann, He Xiangiu, Lil Internet, Karl Holmqvist, Lengua, Lynn Hershman Leeson, Mat Dryhurst, Max Pitegoff, Paloma Elsesser, Sean Monahan, Shumon Basar, Simon Denny, Theresa Patzschke, Thyago Sainte, Yngve Holen, Shawn Dezan, Jemima @Ikki Casting, Alexander Dexter Jones, Debit, Ian Glover, Uschi Korbjuhn, Andrea Wiedmer, Joanna Della Valle, Emanuele Della Valle, Tobias Rauscher, Eric Torstensen, Jacqueline Sullivan Gallery, Harris Rosenblum, Arthur @ Next NY, and Harvard Lab

Abstract

Man vs Machine HOW WILL TECHNOLOGY INFLUENCE THE FUTURE OF CREATIVITY? We don’t want to get into the futile debate of whether or not the machine will replace us. If, or when, have no relevance here. Our life with the machine is now. We want to shine a light on the machine, not as something we use but something that uses us; in the same way that an ax cutting wood requires our muscles to work, our hands to bruise. The attention economy stole our ability to see beyond the moment, see the arch narrative behind the click. Whether we feel comfortable envisioning a future of superhumans and cyborgs or wish for a return and dismantling of technological progress in favor of the survival of our race, we must understand that decisions are being made now. Those able to see the bigger picture will be part of that decision in the making every day. Wake up, user. You’ve been drunk for a while., https://www.librarystack.org/man-vs-machine/?ref=unknown

Published
2023

15. Clinical characteristics and outcome of respiratory syncytial virus infection among adults hospitalized with influenza-like illness in France

Author

Seddik, K., Lesieur, Z., Bonmarin, I., Loulergue, P., Bodilis, H., Servera-Miyalou, M., Sadler, I., Momcilovic, S., Kanaan, R., Coolent, N., Tan Boun, K., Blanche, P., Charpentier, J., Daviaud, F., Mongardon, N., Bretagnol, A., Claessens, Y.E., Rozenberg, F., Yazdanpanah, Y., Burdet, C., Harent, S., Lachatre, M., Rioux, C., Bleibtreu, A., Casalino, E., Choquet, C., Leleu, A., Belghalem, K., Colosi, L., Ranaivoson, M., Verry, V., Pereira, L., Dupeyrat, E., Bernard, J., Emeyrat, N., Chavance, P., Debit, A., Aubier, M., Pradere, P., Justet, A., Mal, H., Brugiere, O., Papo, T., Goulenok, T., Boisseau, M., Jouenne, R., Alexandra, J.F., Raynaud-Simon, A., Lilamand, M., Cloppet-Fontaine, A., Becheur, K., Pelletier, A.L., Fidouh, N., Ralaimazava, P., Beaumale, F., Costa, Y., Munier, E., Betend, F., Amour, S., Loeffert, S., Francourt, K., Merle, C., Letois, F., Géraud, P., Driss, V., Noslier, S., Ray, M., Sebbane, M., Konaté, A., Bourdin, A., Klouche, K., Léglise, M.S., Couve-Deacon, E., Fruit, D., Fenerol, C., Vallejo, C., Jouneau, S., Lainé, F., Thébault, E., Fillatre, P., Le Pape, C., Beuzit, L., Chau, F., Carrat, F., Goderel, I., Loubet, P., Lenzi, N., Valette, M., Foulongne, V., Krivine, A., Houhou, N., Lagathu, G., Rogez, S., Alain, S., Duval, X., Galtier, F., Postil, D., Tattevin, P., Vanhems, P., Lina, B., and Launay, O.

Published
2017
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16. Assessing Random Forest self-reproducibility for optimal short biomarker signature discovery

Author

Christophe Poulet, Ahmed Debit, Claire Josse, Guy Jerusalem, Chloe-Agathe Azencott, Vincent Bours, and Kristel Van Steen

Abstract

Biomarker signature discovery remains the main path to develop clinical diagnostic tools when the biological knowledge on a pathology is weak. Shortest signatures are often preferred to reduce the cost of the diagnostic. The ability to find the best and shortest signature relies on the robustness of the models that can be built on such set of molecules. The classification algorithm that will be used is selected based on the average performance of its models, often expressed via the average AUC. However, it is not garanteed that an algorithm with a large AUC distribution will keep a stable performance when facing data. Here, we propose two AUC-derived hyper-stability scores, the HRS and the HSS, as complementary metrics to the average AUC, that should bring confidence in the choice for the best classification algorithm. To emphasize the importance of these scores, we compared 15 different Random Forests implementation. Additionally, the modelization time of each implementation was computed to further help deciding the best strategy. Our findings show that the Random Forest implementation should be chosen according to the data at hand and the classification question being evaluated. No Random Forest implementation can be used universally for any classification and on any dataset. Each of them should be tested for both their average AUC performance and AUC-derived stability, prior to analysis.Author summaryTo better measure the performance of a Machine Learning (ML) implementation, we introduce a new metric, the AUC hyper-stability, to be used in parallel with the average AUC. This AUC hyper-stability is able to discriminate ML implementations that show the same AUC performance. This metric can therefore help researchers in choosing the best ML method to get stable short predictive biomarker signatures. More specifically, we advocate a tradeoff between the average AUC performance, the hyper-stability scores, and the modeling time.

Published
2023

20. Differential expression patterns of long noncoding RNAs in a pleiomorphic diatom and relation to hyposalinity

Author

Ahmed Debit, Florent Charton, Priscillia Pierre-Elies, Chris Bowler, and Helena Cruz de Carvalho

Subjects
Multidisciplinary
Abstract

Long non-coding (lnc)RNAs have been shown to have central roles in stress responses, cell identity and developmental processes in multicellular organisms as well as in unicellular fungi. Previous works have shown the occurrence of lncRNAs in diatoms, namely in Phaeodactylum tricornutum, many of which being expressed under specific stress conditions. Interestingly, P. tricornutum is the only known diatom that has a demonstrated morphological plasticity, occurring in three distinct morphotypes: fusiform, triradiate and oval. Although the morphotypes are interchangeable, the fusiform is the dominant one while both the triradiate and the oval forms are less common, the latter often being associated with stress conditions such as low salinity and solid culture media, amongst others. Nonetheless, the molecular basis underpinning morphotype identity in P. tricornutum remains elusive. Using twelve previously published transcriptomic datasets originating from the three morphotypes of P. tricornutum, we sought to investigate the expression patterns of lncRNAs (lincRNAs and NATs) in these distinct morphotypes, using pairwise comparisons, in order to explore the putative involvement of these noncoding molecules in morphotype identity. We found that differentially expressed lncRNAs cluster according to morphotype, indicating that lncRNAs are not randomly expressed, but rather seem to provide a specific (noncoding) transcriptomic signature of the morphotype. We also present evidence to suggest that the major differences in DE genes (both noncoding and coding) between the stress related oval morphotype and the most common fusiform morphotype could be due, to a large extent, to the hyposaline culture conditions rather than to the morphotype itself. However, several lncRNAs associated to each one of the three morphotypes were identified, which could have a potential role in morphotype (or cell) identity in P. tricornutum, similar to what has been found in both animals and plant development.

Published
2022

24. Ostéosynthèse mini-invasive des fractures du tiers moyen de la clavicule chez le sportif : mise au point et conséquences sur le temps d’indisponibilité

Author

Jean-Charles Aurégan, Jean-Gabriel Delvaque, Nasser Mebtouche, N. Debit, and Thierry Bégué

Subjects
030222 orthopedics, 03 medical and health sciences, 0302 clinical medicine, Rehabilitation, Orthopedics and Sports Medicine, Surgery, 030229 sport sciences
Abstract

Resume Les fractures du tiers moyen de la clavicule sont des lesions frequentes chez les sportifs. Une prise en charge chirurgicale est justifiee quand le raccourcissement est superieur a 15 mm pour eviter une limitation fonctionnelle residuelle. Notre hypothese etait qu’une technique chirurgicale mini-invasive avec plaque anatomique a vis verrouillees permettait de limiter le delabrement des parties molles, le risque de complications, la periode d’immobilisation, donc la duree totale d’indisponibilite a la pratique sportive. Nous rapportons une serie retrospective de 11 blesses, sportifs, ayant ete operes avec cette technique. Elle consiste a reduire la fracture par un mini-fixateur externe radiotransparent, puis deux incisions mediale et laterale de 2 cm sont effectuees et permettent de glisser une plaque anatomique precintree a vis verrouillees en position extraperiostee, stabilisee par 3 vis sur chaque segment. La periode d’immobilisation a ete de 3 semaines. La mobilite passive et active sans charge a ete reprise a 3 semaines. Tous les patients ont consolide avant le 3e mois. La mise en charge a ete reprise a 6 semaines. La reprise sportive a ete autorisee des le 3e mois sans restriction. Aucune complication postoperatoire n’a ete relevee. Le Quick-DASH etait de 23,75 a 3 mois et de 7,5 a 6 mois . Le Quick-DASH Sport optionnel etait de 4,51 a 6 mois de recul. La conduite a tenir sur les fractures du tiers moyen de la clavicule reste controversee. Les techniques chirurgicales traditionnelles, responsables de complications n’aident pas a la prise de decision. L’utilisation d’une technique mini-invasive peut permettre d’uniformiser les recommandations et diminuer la periode d’immobilisation apres fracture chez le sportif. De par son caractere mini-invasif et des implants anatomiques utilises, le taux de complications ainsi que la periode d’immobilisation sont raccourcis.

Published
2021

28. Prevalence of Histological Characteristics of Breast Cancer in Rwanda in Relation to Age and Tumor Stages

Author

Simeon Uwimana, Yves Kalinijabo, Vincent Bours, Jeanne P. Uyisenga, Emile Karinganire, Costas C. Ainhoa, Leon Mutesa, Claire Josse, Ahmed Debit, Aimee P. Cyuzuzo, Yvan Butera, and Nicole Umurungi

Subjects
Adult, 0301 basic medicine, Oncology, Cancer Research, medicine.medical_specialty, Adolescent, Endocrinology, Diabetes and Metabolism, Complex disease, Breast Neoplasms, Stage ii, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Breast cancer, Internal medicine, Tumor stage, Prevalence, medicine, Humans, Prospective cohort study, Triple negative, Aged, Neoplasm Staging, Aged, 80 and over, Endocrine and Autonomic Systems, business.industry, Medical record, Significant difference, Age Factors, Rwanda, Middle Aged, medicine.disease, 030104 developmental biology, 030220 oncology & carcinogenesis, Female, business
Abstract

Breast cancer is a complex disease, and it is the most common cause of morbidity and mortality among women worldwide. In Sub-Saharan Africa, the clinical characteristics and tumor profiles of breast cancer are still unknown. In the present study we aimed to determine breast tumor profiles of the Rwandan patients in relation to age and tumor stages. We compare our findings to related results from other sub-Saharan Africa studies. Data on age at diagnosis, tumor stage, and hormonal profiles of 138 patients diagnosed between January 2015 and December 2018 were retrospectively retrieved from electronic medical records at three referral hospitals in Rwanda. We compared our results to related findings reported in other Sub-Saharan African countries. All statistical analyses were done using SPSS Inc., Chicago, IL, USA, version 20 and R software languages. The mean age at diagnosis was 49.7 years (SD = 13) and ranged from 17 to 86 years. The majority of patients (57.2%) were diagnosed before 50 years of age compared with 42.8% aged > 50 years. Tumor stage III was the commonest accounting for 62% followed by stage II with 24.8%. The distribution of breast tumor subtypes was ER−, PR−, HER2−: 37.7%; ER+, PR+, HER2−: 31.2%; ER−, PR−, HER2+: 14.5%; ER+, PR+, HER2+: 5.1%; and other subtypes represented 11.6%. There was no statistically significant difference in age and tumor stages between the molecular subtypes. Our findings revealed the predominance of hormonal negative tumors among Rwandan patients with breast cancer. Triple negative was found to be the most common breast tumor subtype regardless of age and tumor stage. Larger prospective studies could examine genetics and environmental factors that may play a role in the differences of tumor characteristics in Sub-Saharan populations.

Published
2020

30. Chronic use of inhaled corticosteroids in patients admitted for respiratory virus infections: a 6-year prospective multicenter study

Author

Luque-Paz, David, Tattevin, Pierre, Loubet, Paul, Bénézit, François, Thibault, Vincent, Lainé, Fabrice, Vanhems, Philippe, Amour, Selilah, Lina, Bruno, Duval, Xavier, L’honneur, Anne-Sophie, Fidouh, Nadhira, Vallejo, Christine, Alain, Sophie, Galtier, Florence, Foulongne, Vincent, Lagathu, Gisèle, Lenzi, Nezha, Lesieur, Zineb, Launay, Odile, Jouneau, Stéphane, Loulergue, P., Momcilovic, S., Mira, J., Marin, N., Charpentier, J., Regent, A., Kanaan, R., Dumas, F., Doumenc, B., Lachatre, M., Szwebel, T., Kansao, J., Costa, Y., Alexandra, J., Becheur, H., Belghalem, K., Bernard, J., Bleibtreu, A., Boisseau, M., Bories, R., Brugiere, O., Brunet, F., Burdet, C., Casalino, E., Caseris, M., Chansiaux, C., Chauchard, M., Chavance, P., Choquet, C., Cloppet-Fontaine, A., Colosi, L., Couset, B., Crestani, B., Crocket, F., Debit, A., Delanoe, K, Descamps, V., Dieude, P., Dossier, A., Douron, N., Dupeyrat, E., Emeyrat, N., Fernet, C., Goulenok, T., Harent, S., Jouenne, R., Justet, A., Leleu, A., Lerat, I., Lilamand, M., Mal, H., Marceau, A., Metivier, A.-C., Oplelatora, K., Papo, T., Pelletier, A.-L., Pereira, L., Pradere, P., Prommier, R, Ralainnazava, P., Ranaivoision, M., Raynaud-Simon, A., Rioux, C., Sacre, K., Verry, V., Vuong, V., Yazdapanah, Y., Houhou, N., Géraud, P., Driss, V., Maugueret, V., Crantelle, L., Agostini, C., Ray, M., Letois, F., Mura, T., Serrand, C., Noslier, S., Giordano, A., Chevassus, H., Nyiramigisha, E., Merle, C., Bourdin, A., Konaté, A., Capdevilla, X., Du Cailar, G., Terminet, A., Blain, H., Leglise, M., Le Quellec, A., Corne, P., Landreau, L., Klouche, K., Bourgeois, A., Sebbane, M., Mourad, G., Leray, H., Postil, D., Alcolea, S., Couve-Deacon, E., Rogez, S., Argaud, L., Cour, M., Hernu, R., Simon, M., Baudry, T., Tazarourte, K., Bui-Xuan, C., Fattoum, J., Valette, M., Rochas, S., Cochennec, S., Thébault, E., Revest, M., Sébillotte, M., Le Bot, A., Baldeyrou, M., Patrat-Delon, S., Cailleaux, M., Pronier, C., CHU Pontchaillou [Rennes], ARN régulateurs bactériens et médecine (BRM), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Virulence Bactérienne et Infections Chroniques (VBIC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), F-CRIN, Innovative clinical research network in vaccinology (I-REIVAC), Hospices Civils de Lyon (HCL), Centre International de Recherche en Infectiologie (CIRI), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), CIC - CHU Bichat, Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), AP-HP - Hôpital Bichat - Claude Bernard [Paris], Centre d'Investigation Clinique de Limoges (CIC1435), CHU Limoges-Institut National de la Santé et de la Recherche Médicale (INSERM), Anti-infectieux : supports moléculaires des résistances et innovations thérapeutiques (RESINFIT), CHU Limoges-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), CIC Montpellier, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Saint Eloi (CHRU Montpellier), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Montpellier, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), CIC Cochin Pasteur (CIC 1417), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôtel-Dieu-Groupe hospitalier Broca-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), and This work was not funded. The study sites received funding from Sanofi Pasteur and MSD for the FLUVAC study. Vaccine producers had no role in the study design, data analysis, decision to publish or preparation of the manuscript.

Subjects
Adult, Multidisciplinary, [SDV]Life Sciences [q-bio], Respiratory Syncytial Virus Infections, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Adrenal Cortex Hormones, Virus Diseases, Respiratory Syncytial Virus, Human, Influenza, Human, Viruses, Humans, Prospective Studies, Respiratory Tract Infections
Abstract

Inhaled corticosteroids (ICS) have been associated with increased risk of pneumonia. Their impact on respiratory virus infections is unclear. We performed a post-hoc analysis of the FLUVAC cohort, a multicenter prospective cohort study of adults hospitalized with influenza-like illness (ILI) during six consecutive influenza seasons (2012–2018). All patients were tested for respiratory virus infection by multiplex PCR on nasopharyngeal swabs and/or bronchoalveolar lavage. Risk factors were identified by logistic regression analysis. Among the 2658 patients included, 537 (20.2%) were treated with ICS before admission, of whom 282 (52.5%, 282/537) tested positive for at least one respiratory virus. Patients on ICS were more likely to test positive for non-influenza respiratory viruses (25.1% vs. 19.5%, P = 0.004), especially for adenovirus (aOR 2.36, 95% CI 1.18–4.58), and respiratory syncytial virus (aOR 2.08, 95% CI 1.39–3.09). Complications were reported in 55.9% of patients on ICS (300/537), primarily pneumonia (171/535, 32%). Among patients on chronic ICS who tested positive for respiratory virus, 14.2% (40/282) were admitted to intensive care unit, and in-hospital mortality rate was 2.8% (8/282). Chronic use of ICS is associated with an increased risk of adenovirus or RSV infections in patients admitted for ILI.

Published
2021

33. Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites

Author

Christophe Poulet, Leon Mutesa, Jeanne P. Uyisenga, Aurélie Poncin, Jérôme Thiry, Claire Josse, Vincent Bours, Guy Jerusalem, Pierre Frères, and Ahmed Debit

Subjects
Oncology, Adult, medicine.medical_specialty, Science, Population, Breast Neoplasms, Article, Breast cancer, Medical research, Internal medicine, microRNA, medicine, Biomarkers, Tumor, Genetics, Humans, Circulating MicroRNA, education, Aged, Cancer, education.field_of_study, Multidisciplinary, business.industry, Diagnostic test, Middle Aged, medicine.disease, Computational biology and bioinformatics, Gene Expression Regulation, Neoplastic, Medicine, Female, Microrna profiling, business, Specific population, Biomarkers
Abstract

Circulating microRNAs are non-invasive biomarkers that can be used for breast cancer diagnosis. However, differences in cancer tissue microRNA expression are observed in populations with different genetic/environmental backgrounds. This work aims at checking if a previously identified diagnostic circulating microRNA signature is efficient in other genetic and environmental contexts, and if a universal circulating signature might be possible. Two populations are used: women recruited in Belgium and Rwanda. Breast cancer patients and healthy controls were recruited in both populations (Belgium: 143 primary breast cancers and 136 healthy controls; Rwanda: 82 primary breast cancers and 73 healthy controls; Ntot = 434), and cohorts with matched age and cancer subtypes were compared. Plasmatic microRNA profiling was performed by RT-qPCR. Random Forest was used to (1) evaluate the performances of the previously described breast cancer diagnostic tool identified in Belgian-recruited cohorts on Rwandan-recruited cohorts and vice versa; (2) define new diagnostic signatures common to both recruitment sites; (3) define new diagnostic signatures efficient in the Rwandan population. None of the circulating microRNA signatures identified is accurate enough to be used as a diagnostic test in both populations. However, accurate circulating microRNA signatures can be found for each specific population, when taken separately.

Published
2021

37. Potential role of ADAM (A Disintegrin And Metalloprotease) in malignant pleural mesothelioma resistance to chemotherapy

Author

Ahmed Debit, Bernard Duysinx, Alison Gillard, Agnès Noël, Christelle Sepult, Marine Bellefroid, Christophe Poulet, Didier Cataldo, and Céline Vanwinge

Subjects
Cisplatin, Metalloproteinase, biology, business.industry, Transfection, medicine.disease, In vitro, Cell culture, Disintegrin, biology.protein, Cancer research, Medicine, Mesothelioma, business, ADAM8, medicine.drug
Abstract

Malignant pleural mesothelioma (MPM) standard therapy is a cisplatin-pemetrexed combination. Unfortunately, MPM cells become very rapidly therapy-resistant in most of cases. Numerous ADAMs (A Disintegrin And Metalloprotease) have been recognized as key contributors to resistance to chemotherapy. The aim of the study was to unveil mechanisms of MPM resistance to treatment and assess the possible implication of ADAM proteases. A measurement of ADAMs expression showed that ADAM8 mRNA is overexpressed as compared to control pleura in human MPM samples and in a mouse model of MPM. In vitro, the mesothelioma cell line AB12 transfected with shRNAs targeting ADAM8 and subsequently exposed to cisplatin displayed a decreased survival as compared to control-ShRNA treated counterparts. Several cisplatin-resistant mesothelioma cell lines were generated by exposing different MPM cell lines to increasing concentrations of cisplatin. A RNA sequencing was performed in order to compare cisplatin-resistant cells to matching parental cells. Surprisingly, a striking overexpression of ADAM8 was observed in cell lines rendered resistant to cisplatin. Moreover, in vivo experiments showed that tumors developed when these cisplatin-resistant cells were injected into the flanks of mice were growing faster and displayed a significant overexpression of ADAM8 mRNA as compared to tumors developed after parental cells injection. In conclusion, our results unveil ADAM8 as a key factor of cisplatin resistance in mesothelioma. Our future researches will focus on the downstream molecular pathways implicating ADAM8 in order to understand how it might affect MPM cisplatin resistance.

Published
2020

38. Role of ADAM8 Protease in Malignant Pleural Mesothelioma Chemoresistance

Author

Alison Gillard, Erik Maquoi, Agnès Noël, Bernard Duysinx, Christophe Poulet, Didier Cataldo, Céline Vanwinge, Ahmed Debit, Marine Bellefroid, and Christelle Sepult

Subjects
Protease, Pleural mesothelioma, business.industry, medicine.medical_treatment, Cancer research, medicine, business, ADAM8
Published
2020

43. Disentangling the role of competition, light interception, and functional traits in tree growth rate variation in South Asian tropical moist forests

Author

Obydur Rahman, Masum Billah, Muhammad Ahsanuzzaman, Mahmuda Islam, Debit Datta, and Mizanur Rahman

Subjects
0106 biological sciences, Biomass (ecology), Ecology, media_common.quotation_subject, Crown (botany), Climate change, Forestry, Management, Monitoring, Policy and Law, Biology, Carbon sequestration, 010603 evolutionary biology, 01 natural sciences, Competition (biology), Basal area, Interception, Tropical and subtropical moist broadleaf forests, 010606 plant biology & botany, Nature and Landscape Conservation, media_common
Abstract

Tropical forests have been focused for mitigating climate change impact through carbon sequestration in plant biomass under clean development mechanism (CDM). Since trees represent more than 98% of the above ground plant biomass, variation in tree growth rate drives carbon dynamics in tropical forests. By using tree-ring analysis, trait-based measurements, and field observations, we aimed at understanding the drivers of growth rate variation in four South Asian tropical moist forest tree species varying in plant functional types. Principal component analysis (PCA) revealed that mainly demographic and wood traits represented the first axis explaining 37% of the variance, whereas the second axis was represented by the leaf traits. Stem growth rate (DI) showed a nonlinear negative relation with competition index (CI) and the ratio of crown surface area to basal area (CBR) in three out of four tree species (p

Published
2021

44. Abstract PS17-01: A metabolomic signature as screening method for breast cancer diagnosis

Author

Guy Jerusalem, Ahmed Debit, Concetta Elisa Onesti, Claire Josse, Vincent Bours, Christophe Poulet, and François Boemer

Subjects
Oncology, Cancer Research, medicine.medical_specialty, Breast cancer, Metabolomics, business.industry, Internal medicine, medicine, Screening method, medicine.disease, business, Signature (logic)
Abstract

Introduction: There is a close relationship between metabolism and cancer, which modifies its metabolic network to support cell survival. This may be reflected in a release of metabolites into the circulating blood, which may allow the identification of a signature associated with a tumor. Here we analyze a metabolomic profile of non-metastatic breast cancer patients and healthy controls to identify a diagnostic signature. Materials and methods: We prospectively enrolled 350 subjects in our study. A blood sample withdrawal at breast cancer diagnosis or the day of the screening mammography for the control group was done. After centrifugation, plasma was collected and stored at -80 °C. A panel of 61 metabolites was tested on a TQ5500 tandem mass spectrometer in triplicate for each sample and with internal standard and inter-run calibrators. ComBat tool from GenePattern platform was used to remove the batch effect. After outliers removal with Tukey’s method and mean value calculation for each replicate, a Z-standardization was done. A 10-fold cross-validation (CV) was used to find the best representative validation set containing 106 subjects (78 cancerous and 28 healthy), which represents 30% of the dataset. The remaining 70% was used as a training set, containing 244 subjects (126 cancerous and 118 healthy). After feature selection, the best signatures were identified on the training set with Random Forest method and validated on the validation set. Statistical analysis was performed with R-studio software. Results: We enrolled in our study 350 subjects, 204 breast cancer patients and 146 healthy controls. The median age in the breast cancer group was 56 years (range 26-86), and in the healthy controls group was 53 years (range 40-74). Breast cancer patients were all at an early stage: 44 at stage I (21.5%), 111 at stage II (54.4%), and 49 at stage III (24%). The breast cancer patients were of all subtypes: 61 luminal A (29.9%), 90 luminal B (44.1%), 14 hormone receptor-negative/HER2-positive (6.9%), and 39 triples negative (19.1%). A feature selection was performed on the training set using Random Forest method, and 10 metabolites were identified as the most important in discriminating cancerous from healthy subjects. From this reduced set, 1023 combinations were generated and evaluated for their AUC performance using 10-CV on the same training set. A total of 512 combinations were identified with an AUC ≧ 0.90. To predict breast cancers, the best signature comprised 4 variables (C6-Carnitine, C3/C2, C2-Carnitine, C8/C2), with an AUC of 0.996 (SD 0.0073) in the training set and of 0.998 (SD 0.0002) for the validation set, at a specificity of 99.4% and a sensitivity of 98.7%. Conclusions: With our work, we identified a metabolite-based predictive signature of breast cancer with a validation performance of AUC 0.99 (specificity of 99.4% and sensitivity of 98.7%), thus outperforming the mammography screening test. Furthermore, the signature-based test is fast, cheap, and does not expose patients to ionizing radiation. Our study’s limitation is a difficult application to clinical practices due to the statistical technique used. Thus, a refinement of the analysis technique and a validation on a larger and independent cohort are mandatory. Also, there are some differences in metabolism related to genetic, environmental factors, and feeding. Therefore, this result should be confirmed on different ethnicities, geographical regions, and the timing of blood withdrawal should be standardized. Citation Format: Concetta Elisa Onesti, François Boemer, Claire Josse, Ahmed Debit, Christophe Poulet, Vincent Bours, Guy Jerusalem. A metabolomic signature as screening method for breast cancer diagnosis [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS17-01.

Published
2021

45. Reducing pre-operative fasting while preserving operating room scheduling flexibility: feasibility and impact on patient discomfort

Author

A. Fauconnier, J.-C. Séguier, L. Mérian-Brosse, H. Solus, Elie Chouillard, A. Fajardy, N. Debit, B. De Jonghe, J.-C. Melchior, and N. Tabary

Subjects
Adult, Male, Operating Rooms, Study phase, medicine.medical_specialty, Time Factors, Drinking, Personnel Staffing and Scheduling, 030230 surgery, Thirst, 03 medical and health sciences, 0302 clinical medicine, 030202 anesthesiology, Preoperative Care, medicine, Humans, Elective surgery, Aged, Morning, business.industry, Fasting, General Medicine, Perioperative, Middle Aged, Pre operative, Surgery, Anesthesiology and Pain Medicine, Elective Surgical Procedures, Female, medicine.symptom, business
Abstract

Background The need to preserve operating room (OR) scheduling flexibility can challenge adherence to the 2-h pre-operative fasting period recommendation before elective surgery. Our primary objective was to assess the feasibility of a pre-operative carbohydrate (CHO) drink delivery strategy preserving OR scheduling flexibility. Methods During the 1st study phase, patients admitted for elective surgery fasted overnight (Control group); during the 2nd phase, patients fasted overnight and received a pre-operative CHO drink (CHO group). CHO delivery time was set to allow any patient to be ready for surgery 30 min ahead of the scheduled time and any patient with an operation scheduled in the afternoon to be ready at 13:00 hours; patients admitted the morning of an early morning operation would not be allowed to take a CHO drink. Results We included 194 patients in the Control group and 199 in the CHO group. In the CHO group, the morning CHO dose was delivered to 66.3% of the patients (95% CI 59.3–72.9%), with a median pre-operative fasting time period of 4 h 57 min. After excluding patients admitted the morning of an operation scheduled before 10:00 hours, the delivery rate was 77.2% (70.2–83.3%). Patients in the CHO group experienced significantly less pre-operative thirst (median 2 vs. 5 on a 0–10 scale, P < 0.0001) and hunger (0 vs. 2, P < 0.0001) than those in the Control group. Conclusion Although preservation of OR scheduling flexibility resulted in a longer fasting time than recommended, CHO drink can be made available to a large proportion of patients with significantly reduced perioperative discomfort.

Published
2016

47. Numerical analysis of an energy-like minimization method to solve a parabolic Cauchy problem with noisy data

Author

Thouraya Baranger, Naima Debit, Romain Rischette, Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne] (LaMCoS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Modélisation mathématique, calcul scientifique (MMCS), Institut Camille Jordan [Villeurbanne] (ICJ), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Lyon (ECL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Cauchy's convergence test, MathematicsofComputing_NUMERICALANALYSIS, 010103 numerical & computational mathematics, Boundary condition identification, Data completion, 01 natural sciences, Finite element, A priori error estimates, Convergence (routing), Initial value problem, 0101 mathematics, Mathematics, Cauchy problem, Applied Mathematics, Numerical analysis, Mathematical analysis, Cauchy distribution, Inverse problem, 010101 applied mathematics, Computational Mathematics, Ill-posed problem, [PHYS.MECA.THER]Physics [physics]/Mechanics [physics]/Thermics [physics.class-ph], [SPI.MECA.THER]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph], Minification, Noise, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
Abstract

International audience; This paper is concerned with solving Cauchy problem for parabolic equation by minimizing an energy-like error functional and by taking into account noisy Cauchy data. After giving some fundamental results, numerical convergence analysis of the energy-like minimization method is carried out and leads to an adapted stopping criteria depending on noise rate for the minimization process. Numerical experiments are performed and confirm theoretical convergence order and the good behavior of the minimization process.

Published
2014

48. Nonlinear parabolic inequalities on a general convex domain

Author

Boujemâa Achchab, Abdellatif Agouzal, N. Debit, Ali Souissi, M. Kbiri Alaoui, LM2CE, Faculté de Sciences Juridiques, Economiques et Sociales [Settat], Université Hassan 1er [Settat]-Université Hassan 1er [Settat], Institut Camille Jordan [Villeurbanne] (ICJ), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Modélisation mathématique, calcul scientifique (MMCS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Lyon (ECL), Laboratoire d'Etudes et Recherche en Mathématiques Appliquées (LERMA), Ecole Mohammadia d'Ingénieurs (EMI), Department of Mathematics, College of Sciences, King Khalid University, GAN, Département de Mathématiques et d'Informatique, Faculté des Sciences, and Debit, Naima

Subjects
Mathematics::Functional Analysis, 021103 operations research, 010102 general mathematics, Mathematical analysis, [MATH.MATH-FA] Mathematics [math]/Functional Analysis [math.FA], Mathematics::Analysis of PDEs, 0211 other engineering and technologies, 02 engineering and technology, [MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA], 01 natural sciences, Nonlinear system, [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP], Applied mathematics, Uniqueness, [MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP], 0101 mathematics, Convex domain, Analysis, Mathematics
Abstract

International audience; The paper deals with the existence and uniqueness of solutions of some non linear parabolic inequalities in the Orlicz-Sobolev spaces framework.

Published
2010

49. Clinical characteristics and outcome of respiratory syncytial virus infection among adults hospitalized with influenza-like illness in France

Author

I. Sadler, J. Bernard, A. Cloppet-Fontaine, N. Fidouh, M. Boisseau, P. Géraud, C. Le Pape, H. Mal, A. Leleu, Paul Loubet, E. Munier, Sélilah Amour, H. Bodilis, A. Konaté, A. Justet, V. Driss, Pierre Loulergue, S. Noslier, D. Fruit, M. Sebbane, M. Ranaivoson, M. Servera-Miyalou, Gisèle Lagathu, Florence Galtier, X. Duval, T. Goulenok, M. Valette, R. Kanaan, Isabelle Goderel, M. Ray, Enrique Casalino, Olivier Brugière, Pierre Tattevin, A. Bretagnol, M.S. Léglise, Christophe Rioux, P. Pradere, E. Couve-Deacon, Christine Vallejo, C. Fenerol, R. Jouenne, Anne Laure Pelletier, S. Loeffert, J.F. Alexandra, Sophie Alain, Bruno Lina, Fabrice Lainé, F. Letois, M. Lachatre, P. Chavance, Z. Lesieur, Y.E. Claessens, K. Seddik, Isabelle Bonmarin, Julien Charpentier, Alexandre Bleibtreu, Charles Burdet, Flore Rozenberg, Fabrice Daviaud, Christophe Choquet, N. Houhou, E. Dupeyrat, P. Vanhems, Odile Launay, M. Lilamand, Nicolas Mongardon, S. Momcilovic, Sylvie Rogez, N. Lenzi, A. Raynaud-Simon, K. Becheur, D. Postil, Yazdan Yazdanpanah, S. Harent, P. Fillatre, M. Aubier, A. Bourdin, K. Belghalem, Vincent Foulongne, Stéphane Jouneau, K. Francourt, L. Beuzit, F. Beaumale, E. Thébault, N. Emeyrat, Anne Krivine, P. Blanche, T. Papo, V. Verry, L. Pereira, Corinne Merle, P. Ralaimazava, A. Debit, L. Colosi, N. Coolent, Yolande Costa, F. Chau, Fabrice Carrat, F. Betend, K. Klouche, K. Tan Boun, Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Université Paris 13 (UP13)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), F-CRIN, Innovative clinical research network in vaccinology (I-REIVAC), Laboratoire de Virologie [GH Nord HCL, Lyon] (CNR des virus influenza), Institut des Agents Infectieux [Lyon] (IAI), Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL)-Groupement Hospitalier Nord des HCL [Lyon], Pathogénèse et contrôle des infections chroniques (PCCI), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), AP-HP - Hôpital Cochin Broca Hôtel Dieu [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), AP-HP - Hôpital Bichat - Claude Bernard [Paris], Laboratoire de Virologie [Rennes] = Virology [Rennes], CHU Pontchaillou [Rennes], Service de Bactériologie, Virologie, Hygiène [CHU Limoges], CHU Limoges, INSERA CIC, Hôpital Bichat - Claude Bernard, CIC Montpellier, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Saint Eloi (CHRU Montpellier), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'Investigation Clinique de Limoges (CIC1435), CHU Limoges-Institut National de la Santé et de la Recherche Médicale (INSERM), Service des maladies infectieuses et réanimation médicale [Rennes] = Infectious Disease and Intensive Care [Rennes], Laboratoire des pathogènes émergents -- Emerging Pathogens Laboratory (LPE-Fondation Mérieux), Centre International de Recherche en Infectiologie (CIRI), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service d'Hygiène, Epidémiologie et Prévention [Hôpital Edouard Herriot - HCL], Hôpital Edouard Herriot [CHU - HCL], Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Virpath-Grippe, de l'émergence au contrôle -- Virpath-Influenza, from emergence to control (Virpath), Infection, Antimicrobiens, Modélisation, Evolution ( IAME ), Université Paris 13 ( UP13 ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Centre Hospitalier Universitaire de Montpellier ( CHU Montpellier ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Montpellier ( UM ) -Centre Hospitalier Universitaire de Montpellier ( CHU Montpellier ), CHU Saint-Eloi, Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Saint-Eloi, Centre d'Investigation Clinique de Limoges ( CIC1435 ), CHU Limoges-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Service des maladies infectieuses et réanimation médicale, Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Hôpital Pontchaillou, Centre d'Investigation Clinique [Rennes] ( CIC ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Centre International de Recherche en Infectiologie ( CIRI ), École normale supérieure - Lyon ( ENS Lyon ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Unité de Santé Publique, Assistance publique - Hôpitaux de Paris - AP-HP (FRANCE)-CHU Saint-Antoine [APHP], Institut Pierre Louis d'Epidémiologie et de Santé Publique ( iPLESP ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), CIC Cochin Pasteur ( CIC 1417 ), Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Cochin [AP-HP]-Hôtel-Dieu-Groupe hospitalier Broca-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université Paris Descartes - Paris 5 ( UPD5 ), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris 13 (UP13)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre Hospitalier Universitaire de Montpellier (CHU Montpellier ), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-CHU Saint-Eloi-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre International de Recherche en Infectiologie - UMR (CIRI), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Groupement Hospitalier Nord des HCL [Lyon]-Institut des Agents Infectieux [Lyon] (IAI), Institut National de la Santé et de la Recherche Médicale (INSERM)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), and Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL)

Subjects
0301 basic medicine, Male, Comorbidity, Respiratory syncytial virus, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, law.invention, 0302 clinical medicine, Elderly, law, Risk Factors, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Diagnosis, 80 and over, Odds Ratio, Influenza-like illness, 030212 general & internal medicine, Hospital Mortality, Child, Aged, 80 and over, Mortality rate, virus diseases, General Medicine, Middle Aged, Intensive care unit, 3. Good health, Hospitalization, Intensive Care Units, Infectious Diseases, Child, Preschool, Female, France, Seasons, Human, Microbiology (medical), Adult, medicine.medical_specialty, Adolescent, 030106 microbiology, Respiratory Syncytial Virus Infections, Article, Virus, Diagnosis, Differential, 03 medical and health sciences, Young Adult, Internal medicine, Influenza, Human, medicine, Humans, Adults, Preschool, Aged, [ SDV ] Life Sciences [q-bio], business.industry, Infant, Odds ratio, Pneumonia, medicine.disease, Influenza, Patient Outcome Assessment, Respiratory failure, Respiratory Syncytial Virus, Human, Immunology, Differential, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business
Abstract

International audience; OBJECTIVES: The aim of this study was to analyse characteristics and outcome of respiratory syncytial virus (RSV) infection in adults hospitalized with influenza-like illness (ILI). METHODS: Patients hospitalized with ILI were included in this prospective, multicentre study carried out in six French hospitals during three consecutive influenza seasons (2012-2015). RSV and other respiratory viruses were detected by multiplex PCR in nasopharyngeal swabs. Risk factors for RSV infection were identified by backward stepwise logistic regression analysis. RESULTS: A total of 1452 patients hospitalized with ILI were included, of whom 59% (861/1452) were >65 years and 83% (1211/1452) had underlying chronic illnesses. RSV was detected in 4% (59/1452), and influenza virus in 39% (566/1452). Risk factors for RSV infection were cancer (adjusted OR 2.1, 95% CI 1.1-4.1, p 0.04), and immunosuppressive treatment (adjusted OR 2.0, 95% CI 1.1-3.8, p 0.03). Patients with RSV had a median length of stay of 9 days (6-25), and 57% of them (30/53) had complications, including pneumonia (23/53, 44%) and respiratory failure (15/53, 28%). Fifteen per cent (8/53) were admitted to an intensive care unit, and the in-hospital mortality rate was 8% (4/53). Pneumonia was more likely to occur in patients with RSV than in patients with RSV-negative ILI (44% (23/53) versus 26% (362/1393), p 0.006) or with influenza virus infection (44% versus 28% (157/560), p 0.02). CONCLUSION: RSV is an infrequent cause of ILI during periods of influenza virus circulation but can cause severe complications in hospitalized adults. Risk factors for RSV detection in adults hospitalized with ILI include cancer and immunosuppressive treatment. Specific immunization and antiviral therapy might benefit patients at risk.

Published
2017

50. A numerical method for waste repository problems with non-standard interface condition

Author

O. Gipouloux, Abdellatif Agouzal, N. Debit, Institut Camille Jordan [Villeurbanne] (ICJ), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Modélisation mathématique, calcul scientifique (MMCS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Lyon (ECL), and Debit, Naima

Subjects
Scheme (programming language), Matching (statistics), Mathematical optimization, Interface (Java), Applied Mathematics, Numerical analysis, Stability (learning theory), 010103 numerical & computational mathematics, 02 engineering and technology, [MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA], 01 natural sciences, 020303 mechanical engineering & transports, 0203 mechanical engineering, Applied mathematics, 0101 mathematics, computer, ComputingMilieux_MISCELLANEOUS, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA], Analysis, Mathematics, Numerical stability, computer.programming_language
Abstract

A conservative method to solve waste repository problems with non-standard interface conditions is presented. One hereby obtains a coupled system, in which all matching conditions remain implicit. A numerical scheme is proposed and stability analysis as well as error estimates are provided.

Published
2009

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