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92 results on '"POTTIER C"'

1. Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis

Author: Lefort, M., Sharmin, S., Andersen, J. B., Vukusic, S., Casey, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., De Sèze, J., Maillart, E., Zephir, H., Labauge, P., Defer, G., Lebrun-Frenay, C., Moreau, T., Berger, E., Clavelou, P., Pelletier, J., Stankoff, B., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Wahab, A., Camdessanché, J. P., Maurousset, A., Ben Nasr, H., Hankiewicz, K., Pottier, C., Maubeuge, N., Dimitri-Boulos, D., Nifle, C., Laplaud, D. A., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., Ozakbas, S., Patti, F., Onofrj, M., Lugaresi, A., Terzi, M., Grammond, P., Grand’Maison, F., Yamout, B., Prat, A., Girard, M., Duquette, P., Boz, C., Trojano, M., McCombe, P., Slee, M., Lechner-Scott, J., Turkoglu, R., Sola, P., Ferraro, D., Granella, F., Shaygannejad, V., Prevost, J., Maimone, D., Skibina, O., Buzzard, K., Van der Walt, A., Karabudak, R., Van Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Koch-Henriksen, N., Sellebjerg, F., Soerensen, P. S., Hilt Christensen, C. C., Rasmussen, P. V., Jensen, M. B., Frederiksen, J. L., Bramow, S., Mathiesen, H. K., Schreiber, K. I., Butzkueven, H., Magyari, M., Kalincik, T., and Leray, E.
Published: 2022
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2. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

Author: Brochet, B., Casey, R., Cotton, F., De Sèze, J., Douek, P., Guillemin, F., Laplaud, D., Lebrun-Frenay, C., Mansuy, L., Moreau, T., Olaiz, J., Pelletier, J., Rigaud-Bully, C., Stankoff, B., Vukusic, S., Marignier, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., Collongues, N., Lubetzki, C., Vermersch, P., Labauge, P., Defer, G., Cohen, M., Fromont, A., Wiertlewsky, S., Berger, E., Clavelou, P., Audoin, B., Giannesini, C., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Créange, A., Camdessanché, J.-P., Faure, J., Maurousset, A., Patry, I., Hankiewicz, K., Pottier, C., Maubeuge, N., Labeyrie, C., Nifle, C., Ameli, R., Anxionnat, R., Attye, A., Bannier, E., Barillot, C., Ben Salem, D., Boncoeur-Martel, M.-P., Bonneville, F., Boutet, C., Brisset, J.-C., Cervenanski, F., Claise, B., Commowick, O., Constans, J.-M., Dardel, P., Desal, H., Dousset, Vincent, Durand-Dubief, F., Ferre, J.-C., Gerardin, E., Glattard, T., Grand, S., Grenier, T., Guillevin, R., Guttmann, C., Krainik, A., Kremer, S., Lion, S., Menjot de Champfleur, N., Mondot, L., Outteryck, O., Pyatigorskaya, N., Pruvo, J.-P., Rabaste, S., Ranjeva, J.-P., Roch, J.-A., Sadik, J.C., Sappey-Marinier, D., Savatovsky, J., Tanguy, J.-Y., Tourbah, A., Tourdias, T., Roca, P., Colas, L., Tucholka, A., Rubini, P., Cackowski, S., Ding, J., Budzik, J.-F., Renard, F., Doyle, S., Barbier, E.L., Bousaid, I., Lassau, N., and Verclytte, S.
Published: 2020
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3. Identification, Prevalence and Susceptibility Profile of Candida Isolates at the Pasteur Institute in Côte D'ivoire from 2017 to 2019

Author: Bonouman Ira A.V., Mboh R., Roger F., Krasteva D., Bellet V., Koffi D., Noell J., Pottier C., Drakulovski P., Menan H., Toure O., Dosso M., Ranque S., and Bertout S.
Subjects: Marketing, Pharmacology, Organizational Behavior and Human Resource Management, Strategy and Management, Drug Discovery, Pharmaceutical Science
Abstract: This study was conducted in Côte d’Ivoire to determine the respective prevalence of Candida species and to study their susceptibility profile to antifungal agents to identify the emergence of resistance.This retrospective study was conducted from 2017 to 2019 at the Institute Pasteur of Côte d’Ivoire on patients with fungal disease. The yeasts isolated and identified in Côte d’Ivoire were subcultured on a chromogenic medium and identified with MALDI-TOF-MS. Sensitivity tests were performed using the CLSI method and evaluated by the M27. In total, 227 Candida spp. were isolated from 1941 patients. Most of the samples were vaginal swabs (120/228). Using the conventional method, C. albicans was prevalent (52.6%). There were mixtures of 2 to 4 species in 36.8% of the samples. Thus MALDI-TOF-MS identified in 315 isolates 13 distinct species, C. tropicalis was prevalent at 35.2%, and the species in both C. albicans and C. parapsilosis complexes were differentiated. This study highlights the hurdle of correct yeast identification in developing countries. The transition from conventional to modern MALDI-TOF based identification of these life-threatening opportunistic pathogens is mandatory and should be emphasised as a public health priority.
Published: 2023
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4. Polyethylene/thermoplastic elastomer/Zinc Oxide nanocomposites for high voltage insulation applications: Dielectric, mechanical and rheological behavior

Author: Helal, E., Pottier, C., David, E., Fréchette, M., and Demarquette, N.R.
Published: 2018
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5. Alzheimer disease: modeling an Aβ-centered biological network

Author: Campion, D, Pottier, C, Nicolas, G, Le Guennec, K, and Rovelet-Lecrux, A
Published: 2016
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6. De novo deleterious genetic variations target a biological network centered on Aβ peptide in early-onset Alzheimer disease

Author: Rovelet-Lecrux, A, Charbonnier, C, Wallon, D, Nicolas, G, Seaman, M N J, Pottier, C, Breusegem, S Y, Mathur, P P, Jenardhanan, P, Le Guennec, K, Mukadam, A S, Quenez, O, Coutant, S, Rousseau, S, Richard, A-C, Boland, A, Deleuze, J-F, Frebourg, T, Hannequin, D, and Campion, D
Published: 2015
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7. Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis

Author: Lefort, M, Sharmin, S, Andersen, JB, Vukusic, S, Casey, R, Debouverie, M, Edan, G, Ciron, J, Ruet, A, De Seze, J, Maillart, E, Zephir, H, Labauge, P, Defer, G, Lebrun-Frenay, C, Moreau, T, Berger, E, Clavelou, P, Pelletier, J, Stankoff, B, Gout, O, Thouvenot, E, Heinzlef, O, Al-Khedr, A, Bourre, B, Casez, O, Cabre, P, Montcuquet, A, Wahab, A, Camdessanche, JP, Maurousset, A, Ben Nasr, H, Hankiewicz, K, Pottier, C, Maubeuge, N, Nifle, C, Laplaud, DA, Horakova, D, Dimitri-Boulos, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, Ozakbas, S, Patti, F, Onofrj, M, Lugaresi, A, Terzi, M, Grammond, P, Grand'Maison, F, Yamout, B, Prat, A, Girard, M, Duquette, P, Boz, C, Trojano, M, McCombe, P, Slee, M, Lechner-Scott, J, Turkoglu, R, Sola, P, Ferraro, D, Granella, F, Shaygannejad, V, Prevost, J, Maimone, D, Skibina, O, Buzzard, K, Van der Walt, A, Karabudak, R, Van Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Koch-Henriksen, N, Sellebjerg, F, Soerensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Butzkueven, H, Magyari, M, Kalincik, T, Leray, E, Lefort, M, Sharmin, S, Andersen, JB, Vukusic, S, Casey, R, Debouverie, M, Edan, G, Ciron, J, Ruet, A, De Seze, J, Maillart, E, Zephir, H, Labauge, P, Defer, G, Lebrun-Frenay, C, Moreau, T, Berger, E, Clavelou, P, Pelletier, J, Stankoff, B, Gout, O, Thouvenot, E, Heinzlef, O, Al-Khedr, A, Bourre, B, Casez, O, Cabre, P, Montcuquet, A, Wahab, A, Camdessanche, JP, Maurousset, A, Ben Nasr, H, Hankiewicz, K, Pottier, C, Maubeuge, N, Nifle, C, Laplaud, DA, Horakova, D, Dimitri-Boulos, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, Ozakbas, S, Patti, F, Onofrj, M, Lugaresi, A, Terzi, M, Grammond, P, Grand'Maison, F, Yamout, B, Prat, A, Girard, M, Duquette, P, Boz, C, Trojano, M, McCombe, P, Slee, M, Lechner-Scott, J, Turkoglu, R, Sola, P, Ferraro, D, Granella, F, Shaygannejad, V, Prevost, J, Maimone, D, Skibina, O, Buzzard, K, Van der Walt, A, Karabudak, R, Van Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Koch-Henriksen, N, Sellebjerg, F, Soerensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Butzkueven, H, Magyari, M, Kalincik, T, and Leray, E
Abstract: BACKGROUND: Natalizumab and fingolimod are used as high-efficacy treatments in relapsing-remitting multiple sclerosis. Several observational studies comparing these two drugs have shown variable results, using different methods to control treatment indication bias and manage censoring. The objective of this empirical study was to elucidate the impact of methods of causal inference on the results of comparative effectiveness studies. METHODS: Data from three observational multiple sclerosis registries (MSBase, the Danish MS Registry and French OFSEP registry) were combined. Four clinical outcomes were studied. Propensity scores were used to match or weigh the compared groups, allowing for estimating average treatment effect for treated or average treatment effect for the entire population. Analyses were conducted both in intention-to-treat and per-protocol frameworks. The impact of the positivity assumption was also assessed. RESULTS: Overall, 5,148 relapsing-remitting multiple sclerosis patients were included. In this well-powered sample, the 95% confidence intervals of the estimates overlapped widely. Propensity scores weighting and propensity scores matching procedures led to consistent results. Some differences were observed between average treatment effect for the entire population and average treatment effect for treated estimates. Intention-to-treat analyses were more conservative than per-protocol analyses. The most pronounced irregularities in outcomes and propensity scores were introduced by violation of the positivity assumption. CONCLUSIONS: This applied study elucidates the influence of methodological decisions on the results of comparative effectiveness studies of treatments for multiple sclerosis. According to our results, there are no material differences between conclusions obtained with propensity scores matching or propensity scores weighting given that a study is sufficiently powered, models are correctly specified and positivity assumption is ful
Published: 2022

8. Impact of methodological choices in comparative effectiveness studies:application in natalizumab versus fingolimod comparison among patients with multiple sclerosis

Author: Lefort, M., Sharmin, S., Andersen, J. B., Vukusic, S., Casey, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., De Sèze, J., Maillart, E., Zephir, H., Labauge, P., Defer, G., Lebrun-Frenay, C., Moreau, T., Berger, E., Clavelou, P., Pelletier, J., Stankoff, B., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Wahab, A., Camdessanché, J. P., Maurousset, A., Ben Nasr, H., Hankiewicz, K., Pottier, C., Maubeuge, N., Dimitri-Boulos, D., Nifle, C., Laplaud, D. A., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., Ozakbas, S., Patti, F., Onofrj, M., Lugaresi, A., Terzi, M., Grammond, P., Grand’Maison, F., Yamout, B., Prat, A., Girard, M., Duquette, P., Boz, C., Trojano, M., McCombe, P., Slee, M., Lechner-Scott, J., Turkoglu, R., Sola, P., Ferraro, D., Granella, F., Shaygannejad, V., Prevost, J., Maimone, D., Skibina, O., Buzzard, K., Van der Walt, A., Karabudak, R., Van Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Koch-Henriksen, N., Sellebjerg, F., Soerensen, P. S., Hilt Christensen, C. C., Rasmussen, P. V., Jensen, M. B., Frederiksen, J. L., Bramow, S., Mathiesen, H. K., Schreiber, K. I., Butzkueven, H., Magyari, M., Kalincik, T., Leray, E., Lefort, M., Sharmin, S., Andersen, J. B., Vukusic, S., Casey, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., De Sèze, J., Maillart, E., Zephir, H., Labauge, P., Defer, G., Lebrun-Frenay, C., Moreau, T., Berger, E., Clavelou, P., Pelletier, J., Stankoff, B., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Wahab, A., Camdessanché, J. P., Maurousset, A., Ben Nasr, H., Hankiewicz, K., Pottier, C., Maubeuge, N., Dimitri-Boulos, D., Nifle, C., Laplaud, D. A., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., Ozakbas, S., Patti, F., Onofrj, M., Lugaresi, A., Terzi, M., Grammond, P., Grand’Maison, F., Yamout, B., Prat, A., Girard, M., Duquette, P., Boz, C., Trojano, M., McCombe, P., Slee, M., Lechner-Scott, J., Turkoglu, R., Sola, P., Ferraro, D., Granella, F., Shaygannejad, V., Prevost, J., Maimone, D., Skibina, O., Buzzard, K., Van der Walt, A., Karabudak, R., Van Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Koch-Henriksen, N., Sellebjerg, F., Soerensen, P. S., Hilt Christensen, C. C., Rasmussen, P. V., Jensen, M. B., Frederiksen, J. L., Bramow, S., Mathiesen, H. K., Schreiber, K. I., Butzkueven, H., Magyari, M., Kalincik, T., and Leray, E.
Abstract: Background: Natalizumab and fingolimod are used as high-efficacy treatments in relapsing–remitting multiple sclerosis. Several observational studies comparing these two drugs have shown variable results, using different methods to control treatment indication bias and manage censoring. The objective of this empirical study was to elucidate the impact of methods of causal inference on the results of comparative effectiveness studies. Methods: Data from three observational multiple sclerosis registries (MSBase, the Danish MS Registry and French OFSEP registry) were combined. Four clinical outcomes were studied. Propensity scores were used to match or weigh the compared groups, allowing for estimating average treatment effect for treated or average treatment effect for the entire population. Analyses were conducted both in intention-to-treat and per-protocol frameworks. The impact of the positivity assumption was also assessed. Results: Overall, 5,148 relapsing–remitting multiple sclerosis patients were included. In this well-powered sample, the 95% confidence intervals of the estimates overlapped widely. Propensity scores weighting and propensity scores matching procedures led to consistent results. Some differences were observed between average treatment effect for the entire population and average treatment effect for treated estimates. Intention-to-treat analyses were more conservative than per-protocol analyses. The most pronounced irregularities in outcomes and propensity scores were introduced by violation of the positivity assumption. Conclusions: This applied study elucidates the influence of methodological decisions on the results of comparative effectiveness studies of treatments for multiple sclerosis. According to our results, there are no material differences between conclusions obtained with propensity scores matching or propensity scores weighting given that a study is sufficiently powered, models are correctly specified and positivity assumption is
Published: 2022

9. LifeTime and improving European healthcare through cell-based interceptive medicine

Author: Rajewsky, N., Almouzni, G., Gorski, S., Aerts, S., Amit, I., Bertero, M., Bock, C., Bredenoord, A., Cavalli, G., Chiocca, S., Clevers, H., Strooper, B., Eggert, A., Ellenberg, J., Fernández, X., Figlerowicz, M., Gasser, S., Hubner, N., Kjems, J., Knoblich, J., Krabbe, G., Lichter, P., Linnarsson, S., Marine, J., Marioni, J., Marti-Renom, M., Netea, M., Nickel, D., Nollmann, M., Novak, H., Parkinson, H., Piccolo, S., Pinheiro, I., Pombo, A., Popp, C., Reik, W., Roman-Roman, S., Rosenstiel, P., Schultze, J., Stegle, O., Tanay, A., Testa, G., Thanos, D., Theis, F., Torres-Padilla, M., Valencia, A., Vallot, C., van Oudenaarden, A., Vidal, M., Voet, T., Alberi, L., Alexander, S., Alexandrov, T., Arenas, E., Bagni, C., Balderas, R., Bandelli, A., Becher, B., Becker, M., Beerenwinkel, N., Benkirame, M., Beyer, M., Bickmore, W., Biessen, E., Blomberg, N., Blumcke, I., Bodenmiller, B., Borroni, B., Boumpas, D., Bourgeron, T., Bowers, S., Braeken, D., Brooksbank, C., Brose, N., Bruining, H., Bury, J., Caporale, N., Cattoretti, G., Chabane, N., Chneiweiss, H., Cook, S., Curatolo, P., de Jonge, M., Deplancke, B., de Witte, P., Dimmeler, S., Draganski, B., Drews, A., Dumbrava, C., Engelhardt, S., Gasser, T., Giamarellos-Bourboulis, E., Graff, C., Grün, D., Gut, I., Hansson, O., Henshall, D., Herland, A., Heutink, P., Heymans, S., Heyn, H., Huch, M., Huitinga, I., Jackowiak, P., Jongsma, K., Journot, L., Junker, J., Katz, S., Kehren, J., Kempa, S., Kirchhof, P., Klein, C., Koralewska, N., Korbel, J., Kühnemund, M., Lamond, A., Lauwers, E., Le Ber, I., Leinonen, V., Tobon, A., Lundberg, E., Lunkes, A., Maatz, H., Mann, M., Marelli, L., Matser, V., Matthews, P., Mechta-Grigoriou, F., Menon, R., Nielsen, A., Pagani, M., Pasterkamp, R., Pitkänen, A., Popescu, V., Pottier, C., Puisieux, A., Rademakers, R., Reiling, D., Reiner, O., Remondini, D., Ritchie, C., Rohrer, J., Saliba, A., Sanchez-Valle, R., Santosuosso, A., Sauter, A., Scheltema, R., Scheltens, P., Schiller, H., Schneider, A., Seibler, P., Sheehan-Rooney, K., Shields, D., Sleegers, K., Smit, A., Smith, K., Smolders, I., Synofzik, M., Tam, W., Teichmann, S., Thom, M., Turco, M., van Beusekom, H., Vandenberghe, R., den Hoecke, S., de Poel, I., van der Ven, A., van der Zee, J., van Lunzen, J., van Minnebruggen, G., Paesschen, W., van Swieten, J., van Vught, R., Verhage, M., Verstreken, P., Villa, C., Vogel, J., von Kalle, C., Walter, J., Weckhuysen, S., Weichert, W., Wood, L., Ziegler, A., Zipp, F., HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany., Medical Research Council (MRC), UK DRI Ltd, TWINCORE, Zentrum für experimentelle und klinische Infektionsforschung GmbH,Feodor-Lynen Str. 7, 30625 Hannover, Germany., Barcelona Supercomputing Center, LifeTime Community Working Groups, Cardiology, Neurology, Institut de génétique humaine (IGH), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Human genetics, Rajewsky N., Almouzni G., Gorski S.A., Aerts S., Amit I., Bertero M.G., Bock C., Bredenoord A.L., Cavalli G., Chiocca S., Clevers H., De Strooper B., Eggert A., Ellenberg J., Fernandez X.M., Figlerowicz M., Gasser S.M., Hubner N., Kjems J., Knoblich J.A., Krabbe G., Lichter P., Linnarsson S., Marine J.-C., Marioni J.C., Marti-Renom M.A., Netea M.G., Nickel D., Nollmann M., Novak H.R., Parkinson H., Piccolo S., Pinheiro I., Pombo A., Popp C., Reik W., Roman-Roman S., Rosenstiel P., Schultze J.L., Stegle O., Tanay A., Testa G., Thanos D., Theis F.J., Torres-Padilla M.-E., Valencia A., Vallot C., van Oudenaarden A., Vidal M., Voet T., Alberi L., Alexander S., Alexandrov T., Arenas E., Bagni C., Balderas R., Bandelli A., Becher B., Becker M., Beerenwinkel N., Benkirame M., Beyer M., Bickmore W., Biessen E.E.A.L., Blomberg N., Blumcke I., Bodenmiller B., Borroni B., Boumpas D.T., Bourgeron T., Bowers S., Braeken D., Brooksbank C., Brose N., Bruining H., Bury J., Caporale N., Cattoretti G., Chabane N., Chneiweiss H., Cook S.A., Curatolo P., de Jonge M.I., Deplancke B., de Witte P., Dimmeler S., Draganski B., Drews A., Dumbrava C., Engelhardt S., Gasser T., Giamarellos-Bourboulis E.J., Graff C., Grun D., Gut I., Hansson O., Henshall D.C., Herland A., Heutink P., Heymans S.R.B., Heyn H., Huch M., Huitinga I., Jackowiak P., Jongsma K.R., Journot L., Junker J.P., Katz S., Kehren J., Kempa S., Kirchhof P., Klein C., Koralewska N., Korbel J.O., Kuhnemund M., Lamond A.I., Lauwers E., Le Ber I., Leinonen V., Tobon A.L., Lundberg E., Lunkes A., Maatz H., Mann M., Marelli L., Matser V., Matthews P.M., Mechta-Grigoriou F., Menon R., Nielsen A.F., Pagani M., Pasterkamp R.J., Pitkanen A., Popescu V., Pottier C., Puisieux A., Rademakers R., Reiling D., Reiner O., Remondini D., Ritchie C., Rohrer J.D., Saliba A.-E., Sanchez-Valle R., Santosuosso A., Sauter A., Scheltema R.A., Scheltens P., Schiller H.B., Schneider A., Seibler P., Sheehan-Rooney K., Shields D., Sleegers K., Smit A.B., Smith K.G.C., Smolders I., Synofzik M., Tam W.L., Teichmann S., Thom M., Turco M.Y., van Beusekom H.M.M., Vandenberghe R., Van den Hoecke S., Van de Poel I., van der Ven A., van der Zee J., van Lunzen J., van Minnebruggen G., Van Paesschen W., van Swieten J., van Vught R., Verhage M., Verstreken P., Villa C.E., Vogel J., von Kalle C., Walter J., Weckhuysen S., Weichert W., Wood L., Ziegler A.-G., Zipp F., Center for Neurogenomics and Cognitive Research, Functional Genomics, Rajewsky, N, Almouzni, G, Gorski, S, Aerts, S, Amit, I, Bertero, M, Bock, C, Bredenoord, A, Cavalli, G, Chiocca, S, Clevers, H, De Strooper, B, Eggert, A, Ellenberg, J, Fernández, X, Figlerowicz, M, Gasser, S, Hubner, N, Kjems, J, Knoblich, J, Krabbe, G, Lichter, P, Linnarsson, S, Marine, J, Marioni, J, Marti-Renom, M, Netea, M, Nickel, D, Nollmann, M, Novak, H, Parkinson, H, Piccolo, S, Pinheiro, I, Pombo, A, Popp, C, Reik, W, Roman-Roman, S, Rosenstiel, P, Schultze, J, Stegle, O, Tanay, A, Testa, G, Thanos, D, Theis, F, Torres-Padilla, M, Valencia, A, Vallot, C, van Oudenaarden, A, Vidal, M, Voet, T, Cattoretti, G, Alliance for Modulation in Epilepsy, Pharmaceutical and Pharmacological Sciences, Experimental Pharmacology, RS: Carim - H02 Cardiomyopathy, MUMC+: MA Med Staf Spec Cardiologie (9), and Cardiologie
Subjects: 0301 basic medicine, Male, Artificial intelligence, Legislation, Medical, [SDV]Life Sciences [q-bio], Molecular datasets, lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Cell- and Tissue-Based Therapy, Diseases, LifeTime Community Working Groups, Disease, Biomarkers, Systems biology, Health data, Pharmacology, Toxicology and Pharmaceutics(all), 0302 clinical medicine, Conjunts de dades, ethics [Delivery of Health Care], Health care, Pathology, Medicine, European healthcare, BRAIN, Single-cell multi-omics, GENE-EXPRESSION, Multidisciplinary, methods [Medicine], Education, Medical, Settore BIO/13, Intel.ligència artificial, 3. Good health, ALZHEIMERS-DISEASE, Europe, Health, Management system, Perspective, Female, ddc:500, Single-Cell Analysis, Biomarkers, Diseases, Systems biology, Complex diseases, Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC], medicine.medical_specialty, General Science & Technology, Cells, MEDLINE, cell-based interceptive medicine, LifeTime Initiative, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Clinical datasets, Artificial Intelligence, REVEALS, LifeTime Community, standards [Medicine], Humans, OMICS, RECONSTRUCTION, Intensive care medicine, trends [Medicine], trends [Delivery of Health Care], business.industry, Disease progression, standards [Delivery of Health Care], methods [Delivery of Health Care], 030104 developmental biology, lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4], single cell, personalized therapy, machine learning, bioinformatics, systems biology, disease, cell-based interceptive medicine, Early Diagnosis, Cardiovascular and Metabolic Diseases, Human medicine, business, Delivery of Health Care, 030217 neurology & neurosurgery, Cell based
Abstract: Here we describe the LifeTime Initiative, which aims to track, understand and target human cells during the onset and progression of complex diseases, and to analyse their response to therapy at single-cell resolution. This mission will be implemented through the development, integration and application of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during the progression from health to disease. The analysis of large molecular and clinical datasets will identify molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. The timely detection and interception of disease embedded in an ethical and patient-centred vision will be achieved through interactions across academia, hospitals, patient associations, health data management systems and industry. The application of this strategy to key medical challenges in cancer, neurological and neuropsychiatric disorders, and infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade., The LifeTime initiative is an ambitious, multidisciplinary programme that aims to improve healthcare by tracking individual human cells during disease processes and responses to treatment in order to develop and implement cell-based interceptive medicine in Europe.
Published: 2020
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10. High frequency of potentially pathogenic SORL1 mutations in autosomal dominant early-onset Alzheimer disease

Author: Pottier, C, Hannequin, D, Coutant, S, Rovelet-Lecrux, A, Wallon, D, Rousseau, S, Legallic, S, Paquet, C, Bombois, S, Pariente, J, Thomas-Anterion, C, Michon, A, Croisile, B, Etcharry-Bouyx, F, Berr, C, Dartigues, J-F, Amouyel, P, Dauchel, H, Boutoleau-Bretonnière, C, Thauvin, C, Frebourg, T, Lambert, J-C, and Campion, D
Published: 2012
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11. Publisher Correction: LifeTime and improving European healthcare through cell-based interceptive medicine (Nature, (2020), 587, 7834, (377-386), 10.1038/s41586-020-2715-9)

Author: Rajewsky, N. Almouzni, G. Gorski, S.A. Aerts, S. Amit, I. Bertero, M.G. Bock, C. Bredenoord, A.L. Cavalli, G. Chiocca, S. Clevers, H. De Strooper, B. Eggert, A. Ellenberg, J. Fernández, X.M. Figlerowicz, M. Gasser, S.M. Hubner, N. Kjems, J. Knoblich, J.A. Krabbe, G. Lichter, P. Linnarsson, S. Marine, J.-C. Marioni, J.C. Marti-Renom, M.A. Netea, M.G. Nickel, D. Nollmann, M. Novak, H.R. Parkinson, H. Piccolo, S. Pinheiro, I. Pombo, A. Popp, C. Reik, W. Roman-Roman, S. Rosenstiel, P. Schultze, J.L. Stegle, O. Tanay, A. Testa, G. Thanos, D. Theis, F.J. Torres-Padilla, M.-E. Valencia, A. Vallot, C. van Oudenaarden, A. Vidal, M. Voet, T. Alberi, L. Alexander, S. Alexandrov, T. Arenas, E. Bagni, C. Balderas, R. Bandelli, A. Becher, B. Becker, M. Beerenwinkel, N. Benkirane, M. Beyer, M. Bickmore, W.A. Biessen, E.E.A.L. Blomberg, N. Blumcke, I. Bodenmiller, B. Borroni, B. Boumpas, D.T. Bourgeron, T. Bowers, S. Braeken, D. Brooksbank, C. Brose, N. Bruining, H. Bury, J. Caporale, N. Cattoretti, G. Chabane, N. Chneiweiss, H. Cook, S.A. Curatolo, P. de Jonge, M.I. Deplancke, B. de Witte, P. Dimmeler, S. Draganski, B. Drews, A. Dumbrava, C. Engelhardt, S. Gasser, T. Giamarellos-Bourboulis, E.J. Graff, C. Grün, D. Gut, I.G. Hansson, O. Henshall, D.C. Herland, A. Heutink, P. Heymans, S.R.B. Heyn, H. Huch, M. Huitinga, I. Jackowiak, P. Jongsma, K.R. Journot, L. Junker, J.P. Katz, S. Kehren, J. Kempa, S. Kirchhof, P. Klein, C. Koralewska, N. Korbel, J.O. Kühnemund, M. Lamond, A.I. Lauwers, E. Le Ber, I. Leinonen, V. López-Tobón, A. Lundberg, E. Lunkes, A. Maatz, H. Mann, M. Marelli, L. Matser, V. Matthews, P.M. Mechta-Grigoriou, F. Menon, R. Nielsen, A.F. Pagani, M. Pasterkamp, R.J. Pitkänen, A. Popescu, V. Pottier, C. Puisieux, A. Rademakers, R. Reiling, D. Reiner, O. Remondini, D. Ritchie, C. Rohrer, J.D. Saliba, A.-E. Sanchez-Valle, R. Santosuosso, A. Sauter, A. Scheltema, R.A. Scheltens, P. Schiller, H.B. Schneider, A. Seibler, P. Sheehan-Rooney, K. Shields, D.J. Sleegers, K. Smit, A.B. Smith, K.G.C. Smolders, I. Synofzik, M. Tam, W.L. Teichmann, S.A. Thom, M. Turco, M.Y. van Beusekom, H.M.M. Vandenberghe, R. Van den Hoecke, S. van de Poel, I. van der Ven, A. van der Zee, J. van Lunzen, J. van Minnebruggen, G. van Oudenaarden, A. Van Paesschen, W. van Swieten, J.C. van Vught, R. Verhage, M. Verstreken, P. Villa, C.E. Vogel, J. von Kalle, C. Walter, J. Weckhuysen, S. Weichert, W. Wood, L. Ziegler, A.-G. Zipp, F. LifeTime Community Working Groups
Subjects: ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
Abstract: In this Perspective, owing to an error in the HTML, the surname of author Alejandro López-Tobón of the LifeTime Community Working Groups consortium was indexed as ‘Tobon’ rather than ‘López-Tobón’ and the accents were missing. The HTML version of the original Perspective has been corrected; the PDF and print versions were always correct. © 2021, The Author(s).
Published: 2021

12. The effectiveness of natalizumab vs fingolimod-A comparison of international registry studies

Author: Andersen, JB, Sharmin, S, Lefort, M, Koch-Henriksen, N, Sellebjerg, F, Sorensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Horakova, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, Ozakbas, S, Patti, F, Onofrj, M, Lugaresi, A, Terzi, M, Grammond, P, Maison, FG, Yamout, B, Prat, A, Girard, M, Duquette, P, Boz, C, Trojano, M, McCombe, P, Slee, M, Lechner-Scott, J, Turkoglu, R, Sola, P, Ferraro, D, Granella, F, Shaygannejad, V, Prevost, J, Skibina, O, Solaro, C, Karabudak, R, Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Casey, R, Debouverie, M, Edan, G, Ciron, J, Ruet, A, Seze, JD, Maillart, E, Zephir, H, Labauge, P, Defer, G, Lebrun, C, Moreau, T, Berger, E, Clavelou, P, Pelletier, J, Stankoff, B, Gout, O, Thouvenot, E, Heinzlef, O, Al-Khedr, A, Bourre, B, Casez, O, Cabre, P, Montcuquet, A, Wahab, A, Camdessanche, J-P, Marousset, A, Patry, I, Hankiewicz, K, Pottier, C, Maubeuge, N, Labeyrie, C, Nifle, C, Leray, E, Laplaud, DA, Butzkueven, H, Kalincik, T, Vukusic, S, Magyari, M, Andersen, JB, Sharmin, S, Lefort, M, Koch-Henriksen, N, Sellebjerg, F, Sorensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Horakova, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, Ozakbas, S, Patti, F, Onofrj, M, Lugaresi, A, Terzi, M, Grammond, P, Maison, FG, Yamout, B, Prat, A, Girard, M, Duquette, P, Boz, C, Trojano, M, McCombe, P, Slee, M, Lechner-Scott, J, Turkoglu, R, Sola, P, Ferraro, D, Granella, F, Shaygannejad, V, Prevost, J, Skibina, O, Solaro, C, Karabudak, R, Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Casey, R, Debouverie, M, Edan, G, Ciron, J, Ruet, A, Seze, JD, Maillart, E, Zephir, H, Labauge, P, Defer, G, Lebrun, C, Moreau, T, Berger, E, Clavelou, P, Pelletier, J, Stankoff, B, Gout, O, Thouvenot, E, Heinzlef, O, Al-Khedr, A, Bourre, B, Casez, O, Cabre, P, Montcuquet, A, Wahab, A, Camdessanche, J-P, Marousset, A, Patry, I, Hankiewicz, K, Pottier, C, Maubeuge, N, Labeyrie, C, Nifle, C, Leray, E, Laplaud, DA, Butzkueven, H, Kalincik, T, Vukusic, S, and Magyari, M
Abstract: BACKGROUND: Natalizumab and fingolimod were the first preparations recommended for disease breakthrough in priorly treated relapsing-remitting multiple sclerosis. Of three published head-to-head studies two showed that natalizumab is the more effective to prevent relapses and EDSS worsening. METHODS: By re-analyzing original published results from MSBase, France, and Denmark using uniform methodologies, we aimed at identifying the effects of differences in methodology, in the MS-populations, and at re-evaluating the differences in effectiveness between the two drugs. We gained access to copies of the individual amended databases and pooled all data. We used uniform inclusion/exclusion criteria and statistical methods with Inverse Probability Treatment Weighting. RESULTS: The pooled analyses comprised 968 natalizumab- and 1479 fingolimod treated patients. The on-treatment natalizumab/fingolimod relapse rate ratio was 0.77 (p=0.004). The hazard ratio (HR) for a first relapse was 0.82 (p=0.030), and the HR for sustained EDSS improvement was 1.4 (p=0.009). There were modest differences between each of the original published studies and the replication study, but the conclusions of the three original studies remained unchanged: in two of them natalizumab was more effective, but in the third there was no difference between natalizumab and fingolimod. CONCLUSION: The results were largely invariant to the epidemiological and statistical methods but differed between the MS populations. Generally, the advantage of natalizumab was confirmed.
Published: 2021

13. Underlying genetic variation in familial frontotemporal dementia: sequencing of 198 patients

Author: Mol, Merel, van Rooij, Jeroen, Wong, Tse, Melhem, Shamiram, Verkerk, Annemieke, Kievit, Anneke, van Minkelen, Rick, Rademakers, R, Pottier, C, Donker Kaat, Laura, Seelaar, Harro, van Swieten, J.C., Dopper, Elise, Mol, Merel, van Rooij, Jeroen, Wong, Tse, Melhem, Shamiram, Verkerk, Annemieke, Kievit, Anneke, van Minkelen, Rick, Rademakers, R, Pottier, C, Donker Kaat, Laura, Seelaar, Harro, van Swieten, J.C., and Dopper, Elise
Abstract: Frontotemporal dementia (FTD) presents with a wide variability in clinical syndromes, genetic etiologies, and underlying pathologies. Despite the discovery of pathogenic variants in several genes, many familial cases remain unsolved. In a large FTD cohort of 198 familial patients, we aimed to determine the types and frequencies of variants in genes related to FTD. Pathogenic or likely pathogenic variants were revealed in 74 (37%) patients, including 4 novel variants. The repeat expansion in C9orf72 was most common (21%), followed by variants in MAPT (6%), GRN (4.5%), and TARDBP (3.5%). Other pathogenic variants were found in VCP, TBK1, PSEN1, and a novel homozygous variant in OPTN. Furthermore, we identified 15 variants of uncertain significance, including a promising variant in TUBA4A and a frameshift in VCP, for which additional research is needed to confirm pathogenicity. The patients without identified genetic cause demonstrated a wide clinical and pathological variety. Our study contributes to the clinical characterization of the genetic subtypes and confirms the value of whole-exome sequencing in identifying novel genetic variants.
Published: 2021

14. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

Author: Roca, P., primary, Attye, A., additional, Colas, L., additional, Tucholka, A., additional, Rubini, P., additional, Cackowski, S., additional, Ding, J., additional, Budzik, J.-F., additional, Renard, F., additional, Doyle, S., additional, Barbier, E.L., additional, Bousaid, I., additional, Casey, R., additional, Vukusic, S., additional, Lassau, N., additional, Verclytte, S., additional, Cotton, F., additional, Brochet, B., additional, De Sèze, J., additional, Douek, P., additional, Guillemin, F., additional, Laplaud, D., additional, Lebrun-Frenay, C., additional, Mansuy, L., additional, Moreau, T., additional, Olaiz, J., additional, Pelletier, J., additional, Rigaud-Bully, C., additional, Stankoff, B., additional, Marignier, R., additional, Debouverie, M., additional, Edan, G., additional, Ciron, J., additional, Ruet, A., additional, Collongues, N., additional, Lubetzki, C., additional, Vermersch, P., additional, Labauge, P., additional, Defer, G., additional, Cohen, M., additional, Fromont, A., additional, Wiertlewsky, S., additional, Berger, E., additional, Clavelou, P., additional, Audoin, B., additional, Giannesini, C., additional, Gout, O., additional, Thouvenot, E., additional, Heinzlef, O., additional, Al-Khedr, A., additional, Bourre, B., additional, Casez, O., additional, Cabre, P., additional, Montcuquet, A., additional, Créange, A., additional, Camdessanché, J.-P., additional, Faure, J., additional, Maurousset, A., additional, Patry, I., additional, Hankiewicz, K., additional, Pottier, C., additional, Maubeuge, N., additional, Labeyrie, C., additional, Nifle, C., additional, Ameli, R., additional, Anxionnat, R., additional, Bannier, E., additional, Barillot, C., additional, Ben Salem, D., additional, Boncoeur-Martel, M.-P., additional, Bonneville, F., additional, Boutet, C., additional, Brisset, J.-C., additional, Cervenanski, F., additional, Claise, B., additional, Commowick, O., additional, Constans, J.-M., additional, Dardel, P., additional, Desal, H., additional, Dousset, Vincent, additional, Durand-Dubief, F., additional, Ferre, J.-C., additional, Gerardin, E., additional, Glattard, T., additional, Grand, S., additional, Grenier, T., additional, Guillevin, R., additional, Guttmann, C., additional, Krainik, A., additional, Kremer, S., additional, Lion, S., additional, Menjot de Champfleur, N., additional, Mondot, L., additional, Outteryck, O., additional, Pyatigorskaya, N., additional, Pruvo, J.-P., additional, Rabaste, S., additional, Ranjeva, J.-P., additional, Roch, J.-A., additional, Sadik, J.C., additional, Sappey-Marinier, D., additional, Savatovsky, J., additional, Tanguy, J.-Y., additional, Tourbah, A., additional, and Tourdias, T., additional
Published: 2020
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15. Underlying genetic variation in familial frontotemporal dementia: sequencing of 198 patients

Author: Mol, M.O., Rooij, J.G.J. (Jeroen) van, Wong, T.H. (Tsz Hang), Melhem, S. (Shamiram), Verkerk, A., Kievit, A.J.A. (Anneke J.A.), Thornton, A.S. (Andrew), Rademakers, S. (Suzanne), Pottier, C. (Cyril), Donker Kaat, L. (Laura), Seelaar, H. (Harro), Swieten, J.C. (John) van, Dopper, E.G.P. (Elise), Mol, M.O., Rooij, J.G.J. (Jeroen) van, Wong, T.H. (Tsz Hang), Melhem, S. (Shamiram), Verkerk, A., Kievit, A.J.A. (Anneke J.A.), Thornton, A.S. (Andrew), Rademakers, S. (Suzanne), Pottier, C. (Cyril), Donker Kaat, L. (Laura), Seelaar, H. (Harro), Swieten, J.C. (John) van, and Dopper, E.G.P. (Elise)
Abstract: Frontotemporal dementia (FTD) presents with a wide variability in clinical syndromes, genetic etiologies, and underlying pathologies. Despite the discovery of pathogenic variants in several genes, many familial cases remain unsolved. In a large FTD cohort of 198 familial patients, we aimed to determine the types and frequencies of variants in genes related to FTD. Pathogenic or likely pathogenic variants were revealed in 74 (37%) patients, including 4 novel variants. The repeat expansion in C9orf72 was most common (21%), followed by variants in MAPT (6%), GRN (4.5%), and TARDBP (3.5%). Other pathogenic variants were found in VCP, TBK1, PSEN1, and a novel homozygous variant in OPTN. Furthermore, we identified 15 variants of uncertain significance, including a promising variant in TUBA4A and a frameshift in VCP, for which additional research is needed to confirm pathogenicity. The patients without identified genetic cause demonstrated a wide clinical and pathological variety. Our study contributes to the clinical characterization of the genetic subtypes and confirms the value of whole-exome sequencing in identifying novel genetic variants.
Published: 2020
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16. The demise of Angkor: Systemic vulnerability of urban infrastructure to climatic variations

Author: Penny, D, Zachreson, C, Fletcher, R, Lau, D, Lizier, JT, Fischer, N, Evans, D, Pottier, C, Prokopenko, M, Penny, D, Zachreson, C, Fletcher, R, Lau, D, Lizier, JT, Fischer, N, Evans, D, Pottier, C, and Prokopenko, M
Abstract: Complex infrastructural networks provide critical services to cities but can be vulnerable to external stresses, including climatic variability. This vulnerability has also challenged past urban settlements, but its role in cases of historic urban demise has not been precisely documented. We transform archeological data from the medieval Cambodian city of Angkor into a numerical model that allows us to quantify topological damage to critical urban infrastructure resulting from climatic variability. Our model reveals unstable behavior in which extensive and cascading damage to infrastructure occurs in response to flooding within Angkor's urban water management system. The likelihood and extent of the cascading failure abruptly grow with the magnitude of flooding relative to normal flows in the system. Our results support the hypothesis that systemic infrastructural vulnerability, coupled with abrupt climatic variation, contributed to the demise of the city. The factors behind Angkor's demise are analogous to challenges faced by modern urban communities struggling with complex critical infrastructure.
Published: 2018

17. CCNF mutations in amyotrophic lateral sclerosis and frontotemporal dementia

Author: Williams, KL, Topp, S, Yang, S, Smith, B, Fifita, JA, Warraich, ST, Zhang, KY, Farrawell, N, Vance, C, Hu, X, Chesi, A, Leblond, CS, Lee, A, Rayner, SL, Sundaramoorthy, V, Dobson-Stone, C, Molloy, MP, Van Blitterswijk, M, Dickson, DW, Petersen, RC, Graff-Radford, NR, Boeve, BF, Murray, ME, Pottier, C, Don, E, Winnick, C, McCann, EP, Hogan, A, Daoud, H, Levert, A, Dion, PA, Mitsui, J, Ishiura, H, Takahashi, Y, Goto, J, Kost, J, Gellera, C, Gkazi, AS, Miller, J, Stockton, J, Brooks, WS, Boundy, K, Polak, M, Muñoz-Blanco, JL, Esteban-Pérez, J, Rábano, A, Hardiman, O, Morrison, KE, Ticozzi, N, Silani, V, De Belleroche, J, Glass, JD, Kwok, JBJ, Guillemin, GJ, Chung, RS, Tsuji, S, Brown, RH, García-Redondo, A, Rademakers, R, Landers, JE, Gitler, AD, Rouleau, GA, Cole, NJ, Yerbury, JJ, Atkin, JD, Shaw, CE, Nicholson, GA, Blair, IP, Williams, KL, Topp, S, Yang, S, Smith, B, Fifita, JA, Warraich, ST, Zhang, KY, Farrawell, N, Vance, C, Hu, X, Chesi, A, Leblond, CS, Lee, A, Rayner, SL, Sundaramoorthy, V, Dobson-Stone, C, Molloy, MP, Van Blitterswijk, M, Dickson, DW, Petersen, RC, Graff-Radford, NR, Boeve, BF, Murray, ME, Pottier, C, Don, E, Winnick, C, McCann, EP, Hogan, A, Daoud, H, Levert, A, Dion, PA, Mitsui, J, Ishiura, H, Takahashi, Y, Goto, J, Kost, J, Gellera, C, Gkazi, AS, Miller, J, Stockton, J, Brooks, WS, Boundy, K, Polak, M, Muñoz-Blanco, JL, Esteban-Pérez, J, Rábano, A, Hardiman, O, Morrison, KE, Ticozzi, N, Silani, V, De Belleroche, J, Glass, JD, Kwok, JBJ, Guillemin, GJ, Chung, RS, Tsuji, S, Brown, RH, García-Redondo, A, Rademakers, R, Landers, JE, Gitler, AD, Rouleau, GA, Cole, NJ, Yerbury, JJ, Atkin, JD, Shaw, CE, Nicholson, GA, and Blair, IP
Abstract: Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are overlapping, fatal neurodegenerative disorders in which the molecular and pathogenic basis remains poorly understood. Ubiquitinated protein aggregates, of which TDP-43 is a major component, are a characteristic pathological feature of most ALS and FTD patients. Here we use genome-wide linkage analysis in a large ALS/FTD kindred to identify a novel disease locus on chromosome 16p13.3. Whole-exome sequencing identified a CCNF missense mutation at this locus. Interrogation of international cohorts identified additional novel CCNF variants in familial and sporadic ALS and FTD. Enrichment of rare protein-altering CCNF variants was evident in a large sporadic ALS replication cohort. CCNF encodes cyclin F, a component of an E3 ubiquitin-protein ligase complex (SCFCyclin F). Expression of mutant CCNF in neuronal cells caused abnormal ubiquitination and accumulation of ubiquitinated proteins, including TDP-43 and a SCFCyclin F substrate. This implicates common mechanisms, linked to protein homeostasis, underlying neuronal degeneration.
Published: 2016

18. Whole-genome sequencing reveals important role for TBK1 and OPTN mutations in frontotemporal lobar degeneration without motor neuron disease

Author: Pottier, C., Bieniek, K.F., Finch, N., Vorst, M. van de, Baker, M., Perkersen, R., Brown, P., Ravenscroft, T., Blitterswijk, M. van, Nicholson, A.M., DeTure, M., Knopman, D.S., Josephs, K.A., Parisi, J.E., Petersen, R.C., Boylan, K.B., Boeve, B.F., Graff-Radford, N.R., Veltman, J.A., Gilissen, C., Murray, M.E., Dickson, D.W., Rademakers, R., Pottier, C., Bieniek, K.F., Finch, N., Vorst, M. van de, Baker, M., Perkersen, R., Brown, P., Ravenscroft, T., Blitterswijk, M. van, Nicholson, A.M., DeTure, M., Knopman, D.S., Josephs, K.A., Parisi, J.E., Petersen, R.C., Boylan, K.B., Boeve, B.F., Graff-Radford, N.R., Veltman, J.A., Gilissen, C., Murray, M.E., Dickson, D.W., and Rademakers, R.
Abstract: Contains fulltext : 154461.pdf (publisher's version ) (Closed access), Frontotemporal lobar degeneration with TAR DNA-binding protein 43 inclusions (FTLD-TDP) is the most common pathology associated with frontotemporal dementia (FTD). Repeat expansions in chromosome 9 open reading frame 72 (C9ORF72) and mutations in progranulin (GRN) are the major known genetic causes of FTLD-TDP; however, the genetic etiology in the majority of FTLD-TDP remains unexplained. In this study, we performed whole-genome sequencing in 104 pathologically confirmed FTLD-TDP patients from the Mayo Clinic brain bank negative for C9ORF72 and GRN mutations and report on the contribution of rare single nucleotide and copy number variants in 21 known neurodegenerative disease genes. Interestingly, we identified 5 patients (4.8 %) with variants in optineurin (OPTN) and TANK-binding kinase 1 (TBK1) that are predicted to be highly pathogenic, including two double mutants. Case A was a compound heterozygote for mutations in OPTN, carrying the p.Q235* nonsense and p.A481V missense mutation in trans, while case B carried a deletion of OPTN exons 13-15 (p.Gly538Glufs*27) and a loss-of-function mutation (p.Arg117*) in TBK1. Cases C-E carried heterozygous missense mutations in TBK1, including the p.Glu696Lys mutation which was previously reported in two amyotrophic lateral sclerosis (ALS) patients and is located in the OPTN binding domain. Quantitative mRNA expression and protein analysis in cerebellar tissue showed a striking reduction of OPTN and/or TBK1 expression in 4 out of 5 patients supporting pathogenicity in these specific patients and suggesting a loss-of-function disease mechanism. Importantly, neuropathologic examination showed FTLD-TDP type A in the absence of motor neuron disease in 3 pathogenic mutation carriers. In conclusion, we highlight TBK1 as an important cause of pure FTLD-TDP, identify the first OPTN mutations in FTLD-TDP, and suggest a potential oligogenic basis for at least a subset of FTLD-TDP patients. Our data further add to the growing body of ev
Published: 2015

19. Ombres et lumières sur le Vietnam actuel

Author: Audier, N., Chemillier-Gendreau, M., Cosaert, P., Degallaix, S., Delalande, P., Devillers, P., Feray, P.R., Fourniau, C., Fromonteil, P., Gendreau, Francis, Gentric, J.J., De la Gorce, P.M., Houtard, F., Mantienne, F., Martin, Jean-Yves, Milliot, D., Papin, P., Pottier, C., Treglode, B. de, Van Regemorter, H., Weissberg, D., and Fourniau, C. (préf.)
Subjects: COOPERATION SCIENTIFIQUE, AMENAGEMENT DU TERRITOIRE, COOPERATION CULTURELLE, CHANGEMENT SOCIOECONOMIQUE, COOPERATION TECHNIQUE, ENTREPRISE, RELATIONS BILATERALES, CHANGEMENT POLITIQUE, COMMUNISME, SYSTEME EDUCATIF, ECONOMIE DE MARCHE, INVESTISSEMENT, PARTI POLITIQUE, POLITIQUE EXTERIEURE, TRANSITION DEMOGRAPHIQUE, COMMUNAUTE VILLAGEOISE
Published: 2003

20. Uncovering archaeological landscapes at Angkor using lidar

Author: Evans, D. H., Fletcher, R. J., Pottier, C., Chevance, J.-B., Soutif, D., Tan, B. S., Im, S., Ea, D., Tin, T., Kim, S., Cromarty, Fiona, De Greef, Stephane, Hanus, K., Baty, P., Kuszinger, R., Shimoda, I., Boornazian, G., Evans, D. H., Fletcher, R. J., Pottier, C., Chevance, J.-B., Soutif, D., Tan, B. S., Im, S., Ea, D., Tin, T., Kim, S., Cromarty, Fiona, De Greef, Stephane, Hanus, K., Baty, P., Kuszinger, R., Shimoda, I., and Boornazian, G.
Abstract: info:eu-repo/semantics/published
Published: 2013

21. Merging SeaWiFS and MODIS/Aqua Ocean Color Data in North and Equatorial Atlantic Using Weighted Averaging and Objective Analysis

Author: Pottier, C, Garcon, V, Larnicol, G, Sudre, J, Schaeffer, P, Le Traon, Pierre-yves, Pottier, C, Garcon, V, Larnicol, G, Sudre, J, Schaeffer, P, and Le Traon, Pierre-yves
Abstract: Two approaches of ocean color data merging were tested and compared in the North and Equatorial Atlantic Basin: the weighted averaging and the objective analysis. The datasets used were the daily level-3 binned data of chlorophyll-a from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer on the Aqua satellite over the year 2003, which is the first common full year of operation. Since they represent input for both approaches, matchups between the satellite and the in situ data from the SeaWiFS Bio-optical Archive and Storage System and the Atlantic Meridional Transect were first studied to compute a spatial map of the root mean-square error and of the bias. Because of the log distribution of the chlorophyll fields, each approach was applied to untransformed and log-transformed values. The application of the weighted averaging to log-transformed values does not show significant differences in comparison to its application to untransformed values. This is not the case, however, for the objective analysis that gives better results when applied to logtransformed values. Both approaches give combined chlorophyll data of equivalent quality, although the objective analysis could be improved with a better statistical characterization of noise and signal covariance. The main advantage of the objective analysis is its ability to interpolate in space (and time) by taking into account the characteristic scales of chlorophyll-a. As a result, the spatial coverage of the combined data is at least twice as large in the case of objective analysis than weighted averaging. OCR NOT CONTROLLED
Published: 2006
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22. Merging SeaWiFS and MODIS/Aqua Ocean Color Data in North and Equatorial Atlantic Using Weighted Averaging and Objective Analysis

Author: Pottier, C., primary, Garcon, V., additional, Larnicol, G., additional, Sudre, J., additional, Schaeffer, P., additional, and Le Traon, P.-Y., additional
Published: 2006
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23. Dominant propagating signals in sea level anomalies in the Southern Ocean

Author: Pottier, C., primary, Céron, J.‐P., additional, Sudre, J., additional, Dadou, I., additional, Belamari, S., additional, and Garçon, V., additional
Published: 2004
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24. Molecular diagnosis of inheritable neuromuscular disorders - OC47.

Author: Pottier, C.
Subjects: *NEUROMUSCULAR diseases
Abstract: An abstract of the article "Molecular diagnosis of inheritable neuromuscular disorders," by C. Pottier is presented.
Published: 2008

25. Brentuximab vedotin treatment associated with acute and chronic inflammatory demyelinating polyradiculoneuropathies

Author: Giulia Berzero, Nathalie Gaspar, Thierry Maisonobe, Capucine Mouthon-Reignier, Julien Lazarovici, Timothée Lenglet, A. K. Wang, Corinne Dupel-Pottier, Weiss Nicolas, Karine Viala, Patrice Carde, David H. Adams, Kevin Bihan, Cécile Cauquil, Guillaume Fargeot, Benramdane Riad, Andoni Echaniz-Laguna, Dimitri Psimaras, Camille Tafani, Laurent Magy, Laure Thomas, Maeva Stephant, Fargeot, G., Dupel-Pottier, C., Stephant, M., Lazarovici, J., Thomas, L., Mouthon-Reignier, C., Riad, B., Carde, P., Berzero, G., Tafani, C., Nicolas, W., Viala, K., Maisonobe, T., Lenglet, T., Wang, A., Magy, L., Bihan, K., Gaspar, N., Adams, D., Echaniz-Laguna, A., Cauquil, C., and Psimaras, D.
Subjects: Adult, Male, medicine.medical_specialty, Neurology, Antineoplastic Agents, Guillain-Barre Syndrome, Gastroenterology, Young Adult, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Internal medicine, medicine, Humans, Brentuximab vedotin, Adverse effect, Aged, Brentuximab Vedotin, Hematology, business.industry, Lymphoma, Non-Hodgkin, Polyradiculoneuropathy, Middle Aged, medicine.disease, Hodgkin Disease, Lymphoma, Psychiatry and Mental health, Peripheral neuropathy, Polyradiculoneuropathy, Chronic Inflammatory Demyelinating, Monomethyl auristatin E, chemistry, oncology, haematology, neuropathy, Female, Surgery, neuromuscular, Neurology (clinical), neurophysiology, business, 030217 neurology & neurosurgery, medicine.drug
Abstract: Brentuximab vedotin (BV) is an antibody-drug conjugate composed by an anti-CD30 monoclonal antibody and the anti-microtubule agent monomethyl auristatin E, used for the treatment of relapsed/refractory Hodgkin's lymphoma and non-Hodgkin's lymphoma. Peripheral neuropathy is a frequent adverse event of BV treatment, affecting up to 60% to 70% of patients.1 It usually consists of a mild axonal, length-dependent, sensory neuropathy, characterised by numbness and tingling of fingers and toes,1 2 related to the toxic effect of monomethyl auristatin E on axonal microtubules.3 Nonetheless, immune-mediated peripheral neuropathies characterised by prominent motor impairment have also been described,4 suggesting that, similarly to other antineoplastic agents, BV might have the potential to induce or exacerbate inflammatory polyradiculoneuropathies. The aim of this study was to assess the characteristics of inflammatory demyelinating polyradiculoneuropathy associated with BV treatment. ### Patients and methods We performed a retrospective research in seven French neurology departments, for all patients who were admitted between January 2013 and December 2019 to investigate a peripheral neuropathy appeared during BV treatment. We selected patients meeting Sjevar et al criteria for the diagnosis of Guillain-Barre syndrome (GBS) (level 1 of diagnostic certainty) or meeting ‘definite’ criteria for chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) according to 2010 European Federation of Neurological Societies/Peripheral Nerve Society guideline. We considered the onset as acute, subacute or chronic if the disease nadir was reached within 4 weeks, between 4 to 8 …
Published: 2020
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26. The effectiveness of natalizumab vs fingolimod–A comparison of international registry studies

Author: Alexis Montcuquet, Henrik Kahr Mathiesen, Tomas Kalincik, Marc Girard, Karolina Hankiewicz, Marco Onofrj, Francois Grand Maison, Raed Alroughani, Mathilde Lefort, Olivier Gout, Jeannette Lechner-Scott, Marc Debouverie, Julie Prevost, Eva Havrdova, Olivier Casez, Per Soelberg Sørensen, Pierre Duquette, Jean Pelletier, Claudio Solaro, Alessandra Lugaresi, Francesco Patti, Emmanuelle Leray, Johanna Balslev Andersen, Bassem Yamout, Céline Labeyrie, Karen Schreiber, Eric Thouvenot, Nils Koch-Henriksen, Michael Broksgaard Jensen, Elisabeth Maillart, Chantal Nifle, Stephan Bramow, Pierre Clavelou, Bruno Stankoff, Olivier Heinzlef, Finn Sellebjerg, Abir Wahab, Mark Slee, Gilles Defer, Pierre Labauge, Melinda Magyari, Steve Vucic, Guillermo Izquierdo, Helmut Butzkueven, Peter Vestergaard Rasmussen, Bertrand Bourre, Maria Trojano, Franco Granella, Corinne Pottier, Jette L. Frederiksen, Olga Skibina, Recai Turkoglu, Ivania Patry, Pierre Grammond, Bart Van Wijmeersch, Eric Berger, Aurélie Ruet, Serkan Ozakbas, Jonathan Ciron, Tünde Csépány, Jean Philippe Camdessanche, Sandra Vukusic, Nicolas Maubeuge, David Laplaud, Cavit Boz, Christine Lebrun, Claudia C. Hilt Christensen, Patrizia Sola, Vahid Shaygannejad, Romain Casey, Murat Terzi, Philippe Cabre, Jérôme De Seze, Abdullatif Al-Khedr, Dana Horakova, Pamela A. McCombe, Daniele Spitaleri, Alexandre Prat, Gilles Edan, Hélène Zéphir, Aude Marousset, Sifat Sharmin, Diana Ferraro, Sara Eichau, Rana Karabudak, Thibault Moreau, Sellebjerg, Finn/0000-0002-1333-9623, Lugaresi, Alessandra/0000-0003-2902-5589, frederiksen, jette/0000-0003-1661-7438, Ciron, Jonathan/0000-0002-3386-6308, University of Copenhagen = Københavns Universitet (KU), University of Melbourne, Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), 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), CHU Pontchaillou [Rennes], Aarhus University Hospital, Rigshospitalet [Copenhagen], Copenhagen University Hospital, Centre de recherche en neurosciences de Lyon (CRNL), 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), Centre d’Investigation Clinique de Nantes (CIC Nantes), Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre hospitalier universitaire de Nantes (CHU Nantes), Centre hospitalier universitaire de Nantes (CHU Nantes), The MSBase Foundation is a not-for-profit organization that receives support from Biogen, Novartis, Merck, Roche, Teva and Sanofi Genzyme. The study was conducted separately and apart from the guidance of the sponsors. CORe received funding from NHMRC [1140766, 1129789, 1157717] to support studies of comparative effectiveness of MS therapies.OFSEP was supported by a grant provided by the French State and handled by the 'Agence Nationale de la Recherche,' within the framework of the 'Investments for the Future' program, under the reference ANR-10-COHO-002, by the Eugène Devic EDMUS Foundation against multiple sclerosis and by the ARSEP Foundation.DMSR did not receive any funding to collaborate in this study., ANR-10-COHO-0002,OFSEP,Observatoire Français de la Sclérose en Plaques(2010), Andersen J.B., Sharmin S., Lefort M., Koch-Henriksen N., Sellebjerg F., Sorensen P.S., Hilt Christensen C.C., Rasmussen P.V., Jensen M.B., Frederiksen J.L., Bramow S., Mathiesen H.K., Schreiber K.I., Horakova D., Havrdova E.K., Alroughani R., Izquierdo G., Eichau S., Ozakbas S., Patti F., Onofrj M., Lugaresi A., Terzi M., Grammond P., Grand Maison F., Yamout B., Prat A., Girard M., Duquette P., Boz C., Trojano M., McCombe P., Slee M., Lechner-Scott J., Turkoglu R., Sola P., Ferraro D., Granella F., Shaygannejad V., Prevost J., Skibina O., Solaro C., Karabudak R., Wijmeersch B.V., Csepany T., Spitaleri D., Vucic S., Casey R., Debouverie M., Edan G., Ciron J., Ruet A., Seze J.D., Maillart E., Zephir H., Labauge P., Defer G., Lebrun C., Moreau T., Berger E., Clavelou P., Pelletier J., Stankoff B., Gout O., Thouvenot E., Heinzlef O., Al-Khedr A., Bourre B., Casez O., Cabre P., Montcuquet A., Wahab A., Camdessanche J.-P., Marousset A., Patry I., Hankiewicz K., Pottier C., Maubeuge N., Labeyrie C., Nifle C., Leray E., Laplaud D.A., Butzkueven H., Kalincik T., Vukusic S., Magyari M., University of Copenhagen = Københavns Universitet (UCPH), Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), 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), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), CHU Bordeaux [Bordeaux], CHU Strasbourg, CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Université de Montpellier (UM), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Centre Hospitalier Universitaire de Nice (CHU Nice), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), CHU Clermont-Ferrand, Hôpital de la Timone [CHU - APHM] (TIMONE), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital de la Fondation Ophtalmologique Adolphe de Rothschild [AP-HP], Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Institut de Génomique Fonctionnelle (IGF), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Centre hospitalier intercommunal de Poissy/Saint-Germain-en-Laye - CHIPS [Poissy], CHU Amiens-Picardie, CHU Rouen, Normandie Université (NU), Centre Hospitalier Universitaire [Grenoble] (CHU), CHU de la Martinique [Fort de France], CHU Limoges, Hôpital Henri Mondor, Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), CHU Trousseau [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Centre Hospitalier de Saint-Denis [Ile-de-France], Centre hospitalier universitaire de Poitiers (CHU Poitiers), AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), and Centre Hospitalier de Versailles André Mignot (CHV)
Subjects: medicine.medical_specialty, Fingolimod, Head-to-head comparison, Multiple sclerosis, Natalizumab, Treatment effectiveness, [SDV]Life Sciences [q-bio], Relapse rate, 03 medical and health sciences, Multiple Sclerosis, Relapsing-Remitting, 0302 clinical medicine, Internal medicine, Fingolimod Hydrochloride, Epidemiology, Humans, Medicine, Multiple sclerosi, Registries, 030212 general & internal medicine, business.industry, Hazard ratio, General Medicine, medicine.disease, 3. Good health, First relapse, Treatment Outcome, Neurology, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neurology (clinical), business, Immunosuppressive Agents, 030217 neurology & neurosurgery, medicine.drug
Abstract: Background: Natalizumab and fingolimod were the first preparations recommended for disease breakthrough in priorly treated relapsing-remitting multiple sclerosis. Of three published head-to-head studies two showed that natalizumab is the more effective to prevent relapses and EDSS worsening. Methods: By re-analyzing original published results from MSBase, France, and Denmark using uniform meth-odologies, we aimed at identifying the effects of differences in methodology, in the MS-populations, and at re-evaluating the differences in effectiveness between the two drugs. We gained access to copies of the individual amended databases and pooled all data. We used uniform inclusion/ exclusion criteria and statistical methods with Inverse Probability Treatment Weighting. Results: The pooled analyses comprised 968 natalizumab-and 1479 fingolimod treated patients. The on-treatment natalizumab/fingolimod relapse rate ratio was 0.77 (p=0.004). The hazard ratio (HR) for a first relapse was 0.82 (p=0.030), and the HR for sustained EDSS improvement was 1.4 (p=0.009). There were modest differences between each of the original published studies and the replication study, but the conclusions of the three original studies remained unchanged: in two of them natalizumab was more effective, but in the third there was no difference between natalizumab and fingolimod. Conclusion: The results were largely invariant to the epidemiological and statistical methods but differed between the MS populations. Generally, the advantage of natalizumab was confirmed. BiogenBiogen; NovartisNovartis; MerckMerck & Company; RocheRoche Holding; Teva; Sanofi GenzymeSanofi-AventisGenzyme Corporation; NHMRCNational Health and Medical Research Council of Australia [1140766,1129789, 1157717]; French State; Agence Nationale de la Recherche-French National Research Agency (ANR)European Commission [ANR-10-COHO-002]; Eugene Devic EDMUS Foundation; ARSEP Foundation
Published: 2021
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27. Determinants of therapeutic lag in multiple sclerosis

Author: Tomas Kalincik, Marc Girard, Corinne Pottier, Murat Terzi, Jean Pelletier, Oliver Gerlach, Julie Prevost, Dana Horakova, Francois Grand'Maison, Raed Alroughani, Guillermo Izquierdo, Francesco Patti, Federico Frascoli, Maria Trojano, Franco Granella, Pamela A. McCombe, Charles B Malpas, Recai Turkoglu, Aurélie Ruet, Jonathan Ciron, Tünde Csépány, Nicolas Maubeuge, Helmut Butzkueven, Pierre Clavelou, Tamara Castillo Trivino, Marco Onofrj, Jean Philippe Camdessanche, Pierre Labauge, Vincent Van Pesch, Pierre Grammond, Abir Wahab, Roberto Bergamaschi, Aysun Soysal, Diana Ferraro, Bertrand Bourre, Olivier Gout, Jeannette Lechner-Scott, Sara Eichau, Emmanuelle Leray, Alexis Montcuquet, Pierre Duquette, Olivier Casez, Youssef Sidhom, Patrizia Sola, Bart Van Wijmeersch, Izanne Roos, Gilles Edan, Serkan Ozakbas, David Laplaud, Sandra Vukusic, Abdullatif Al Khedr, Céline Labeyrie, Philippe Cabre, Eric Thouvenot, Céline Louapre, Romain Casey, Alessandra Lugaresi, Riadh Gouider, Alasdair Coles, Eric Berger, Ivania Patry, Gerardo Iuliano, Elisabetta Cartechini, Cavit Boz, Karolina Hankiewicz, Eva Havrdova, Eduardo Aguera-Morales, J William L Brown, Jérôme De Seze, Bruno Stankoff, Olivier Heinzlef, Gilles Defer, Alexandre Prat, Chantal Nifle, Maria José Sá, Marc Debouverie, Daniele Spitaleri, Aude Maurousset, Thibault Moreau, Christine Lebrun-Frenay, Hélène Zéphir, University of Melbourne, Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), École des Hautes Études en Santé Publique [EHESP] (EHESP), Département Méthodes quantitatives en santé publique (METIS), Collectif de recherche handicap, autonomie et société inclusive (CoRHASI), Swinburne University of Technology [Melbourne], Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Centre de recherche en neurosciences de Lyon (CRNL), 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), Hospices Civils de Lyon (HCL), Charles University [Prague], Università degli studi di Catania [Catania], Università degli studi 'G. d'Annunzio' Chieti-Pescara [Chieti-Pescara] (Ud'A), Università degli Studi di Modena e Reggio Emilia (UNIMORE), University of Queensland [Brisbane], Monash University [Clayton], UCL - SSS/IONS/CEMO - Pôle Cellulaire et moléculaire, UCL - (SLuc) Service de biochimie médicale, UCL - (SLuc) Service de neurologie, 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), CHU Pontchaillou [Rennes], Charles University [Prague] (CU), Adaptation, mesure et évaluation en santé. Approches interdisciplinaires (APEMAC), Université de Lorraine (UL), Service de neurologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), University of Bari Aldo Moro (UNIBA), University of Catania [Italy], Hospital Virgen Macarena, Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM), CHU Toulouse [Toulouse], INSERM, Neurocentre Magendie, U1215, Physiopathologie de la Plasticité Neuronale, F-33000 Bordeaux, France, CIC Bordeaux, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Dokuz Eylül Üniversitesi = Dokuz Eylül University [Izmir] (DEÜ), CIC Strasbourg (Centre d’Investigation Clinique Plurithématique (CIC - P) ), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Strasbourg (UNISTRA)-Hôpital de Hautepierre [Strasbourg]-Nouvel Hôpital Civil de Strasbourg, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Lille, Fernando Pessoa University, Azienda Ospedaleria Universitaria di Modena, CHU Montpellier, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Centre Hospitalier Universitaire de Nice (CHU Nice), Karadeniz Technical University (KTU), Università degli Studi di Macerata = University of Macerata (UNIMC), CHU Dijon, Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre de Recherche en Transplantation et Immunologie (U1064 Inserm - CRTI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Centre hospitalier universitaire de Nantes (CHU Nantes), University of Newcastle [Australia] (UoN), Zuyderland Hospital [Heerlen, The Netherlands], Ondokuz Mayis University, University of Parma = Università degli studi di Parma [Parme, Italie], Amiri hospital, University of Salerno (UNISA), Université Catholique de Louvain = Catholic University of Louvain (UCL), Hasselt University (UHasselt), San Giuseppe Moscati Hospital [Avellino, Italie], Bakirkoy Matern & Childrens State Hosp, Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Universidad de Córdoba [Cordoba], Hospital Donostia, CHU Clermont-Ferrand, Hôpital de la Timone [CHU - APHM] (TIMONE), Fondation Ophtalmologique Adolphe de Rothschild [Paris], Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), CHI Poissy-Saint-Germain, Université de la Manouba [Tunisie] (UMA), University of Debrecen, Hôpital Charles Nicolle [Rouen], CHU Amiens-Picardie, CHU de la Martinique [Fort de France], CHU Limoges, CHU Henri Mondor, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS), Centre Hospitalier Sud Francilien, CH Evry-Corbeil, Centre Hospitalier de Saint-Denis [Ile-de-France], Centre Hospitalier René Dubos [Pontoise], This study was supported by the EDMUS Foundation and NHMRC [1140766,1129189, 1157717]. IR is supported by a MSIF-ARSEP McDonald fellowship grantand a Melbourne Research Scholarship. The MSBase Foundation is a not-for-profitorganization that receives support from Biogen, Novartis, Merck, Roche, Teva andSanofi Genzyme. The study was conducted separately and apart from the guidanceof the sponsors. The Observatoire Français de la Sclérose en Plaques (OFSEP) issupported by a grant provided by the French State and handled by the 'AgenceNationale de la Recherche,' within the framework of the 'Investments for the Future'program, under the reference ANR-10-COHO-002, by the Eugène Devic EDMUSFoundation against multiple sclerosis and by the ARSEP Foundation., ANR-10-COHO-0002,OFSEP,Observatoire Français de la Sclérose en Plaques(2010), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Roos I., Leray E., Frascoli F., Casey R., Brown J.W.L., Horakova D., Havrdova E.K., Debouverie M., Trojano M., Patti F., Izquierdo G., Eichau S., Edan G., Prat A., Girard M., Duquette P., Onofrj M., Lugaresi A., Grammond P., Ciron J., Ruet A., Ozakbas S., De Seze J., Louapre C., Zephir H., Sa M.J., Sola P., Ferraro D., Labauge P., Defer G., Bergamaschi R., Lebrun-Frenay C., Boz C., Cartechini E., Moreau T., Laplaud D., Lechner-Scott J., Grand'Maison F., Gerlach O., Terzi M., Granella F., Alroughani R., Iuliano G., Van Pesch V., Van Wijmeersch B., Spitaleri D.L.A., Soysal A., Berger E., Prevost J., Aguera-Morales E., McCombe P., Castillo Trivino T., Clavelou P., Pelletier J., Turkoglu R., Stankoff B., Gout O., Thouvenot E., Heinzlef O., Sidhom Y., Gouider R., Csepany T., Bourre B., Al Khedr A., Casez O., Cabre P., Montcuquet A., Wahab A., Camdessanche J.-P., Maurousset A., Patry I., Hankiewicz K., Pottier C., Maubeuge N., Labeyrie C., Nifle C., Coles A., Malpas C.B., Vukusic S., Butzkueven H., Kalincik T., Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), 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), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Università degli studi di Catania = University of Catania (Unict), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale (U1215 Inserm - UB), Université de Bordeaux (UB)-Institut François Magendie-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Nouvel Hôpital Civil de Strasbourg-Hôpital de Hautepierre [Strasbourg], Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Modena e Reggio Emilia = University of Modena and Reggio Emilia (UNIMORE), University of Newcastle [Callaghan, Australia] (UoN), Ondokuz Mayis University (OMU), Università degli studi di Parma = University of Parma (UNIPR), Universidad de Córdoba = University of Córdoba [Córdoba], University of Debrecen Egyetem [Debrecen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), CHU Henri Mondor [Créteil], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Registrie, Male, medicine.medical_specialty, Treatment response, Pediatrics, Neurology, Lag, [SDV]Life Sciences [q-bio], Aucun, multiple sclerosis, 03 medical and health sciences, Disability Evaluation, 0302 clinical medicine, Multiple Sclerosis, Relapsing-Remitting, Recurrence, medicine, Humans, Treatment effect, Disabled Persons, Registries, 030304 developmental biology, 0303 health sciences, business.industry, Multiple sclerosis, Delayed onset, medicine.disease, 3. Good health, Clinical neurology, therapeutic lag, multiple sclerosi, Disease Progression, Disabled Person, Observational study, Female, observational study, Neurology (clinical), business, 030217 neurology & neurosurgery, Human
Abstract: International audience; Objective: To explore the associations of patient and disease characteristics with the duration of therapeutic lag for relapses and disability progression.Background: Therapeutic lag represents the delay from initiation of therapy to attainment of full treatment effect. Understanding the determinants of therapeutic lag provides valuable information for personalised choice of therapy in multiple sclerosis (MS).Design/Methods: Data from MSBase, a multinational MS registry, and OFSEP, the French national registry, were used. Patients diagnosed with MS, minimum 1-year exposure to MS treatment, minimum 3-year pre-treatment follow up and yearly review were included in the analysis. By studying incidence of relapses and 6-month confirmed disability progression, the duration of therapeutic lag was calculated by identifying the first local minimum of the first derivative after treatment start in subgroups stratified by patient and disease characteristics. Pairwise analyses of univariate predictors were performed. Combinations of determinants that consistently drove differences in therapeutic lag in pair by pair analyses were included in the final model.Results: Baseline EDSS, ARR and sex were associated with duration of therapeutic lag on disability progression in univariate and pairwise bivariable analyses. In the final model, therapeutic lag was 27.8 weeks shorter in females with ARR6 compared to those with EDSS>=6 (26.6, 18.2–34.9 vs 54.3, 47.2–61.5). Baseline EDSS, ARR, sex and MS phenotype were associated with duration of therapeutic lag on relapses in univariate analyses. Pairwise bivariable analyses of the pairs of determinants suggested ependently associated with therapeutic lag. In the final model, therapeutic lag was shortest in those with RRMS and EDSS
Published: 2021
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28. Comparative effectiveness of teriflunomide vs dimethyl fumarate in multiple sclerosis

Author: Patrick Vermersch, Ivania Patry, Nicolas Maubeuge, Catherine Lubetzki, Ofsep Study Groups, David-Axel Laplaud, Bruno Stankoff, Bruno Brochet, Eric Thouvenot, Céline Labeyrie, Jean-Philippe Camdessanché, Olivier Gout, Laure Michel, Chantal Nifle, Abdullatif Al Khedr, Emmanuelle Leray, Gilles Edan, Marc Debouverie, Laetitia Barbin, David Brassat, Yohann Foucher, Thibault Moreau, Romain Casey, Jean Pelletier, Christine Lebrun-Frenay, Sandra Vukusic, Laurent Magy, Olivier Heinzlef, Philippe Cabre, Caroline Papeix, Ayman Tourbah, Gilles Defer, Abir Wahab, Pierre Clavelou, Eric Berger, Jérôme De Seze, A.-M. Guennoc, Fabien Rollot, Olivier Casez, Sandrine Wiertlewski, Thomas Debroucker, Pierre Labauge, Bertrand Bourre, Centre de Recherche en Transplantation et Immunologie (U1064 Inserm - CRTI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d’Investigation Clinique de Nantes (CIC Nantes), Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre hospitalier universitaire de Nantes (CHU Nantes), Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC), Université de Lorraine (UL), Service de Neurologie [Lyon], CHU Lyon, Centre de Physiopathologie Toulouse Purpan (CPTP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service de Neurologie, Centre hospitalier universitaire de Nantes (CHU Nantes)-Hôpital Guillaume-et-René-Laennec [Saint-Herblain], Service de neurologie [Bordeaux], CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Inflammation: mécanismes et régulation et interactions avec la nutrition et les candidoses, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Service de neurologie [Rennes], Université de Rennes (UR), Department of Neurology, Centre Hospitalier Universitaire de Nice (CHU Nice), Service de Neurologie [CHU Clermont-Ferrand], CHU Gabriel Montpied [Clermont-Ferrand], CHU Clermont-Ferrand-CHU Clermont-Ferrand-CHU Estaing [Clermont-Ferrand], CHU Clermont-Ferrand, Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Service de neurologie [Reims], Centre Hospitalier Universitaire de Reims (CHU Reims), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), CHU de la Martinique [Fort de France], CHU Pitié-Salpêtrière [AP-HP], Public Health Agency of Canada, CHI Poissy-Saint-Germain, Service de Neurologie [CHU de Poissy], CHU De Poissy, Service de Neurologie générale, vasculaire et dégénérative (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre de Recherches Critiques sur le Droit (CERCRID), Université Lumière - Lyon 2 (UL2)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS), Fondation Ophtalmologique Adolphe de Rothschild [Paris], Département de neurologie [Montpellier], Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [CHU Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université de Montpellier (UM), Service de Neurologie [CHU Limoges], CHU Limoges, Service de Neurologie [CHU Caen], Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN), Hôpital Bicêtre, Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Bicêtre, Lipides - Nutrition - Cancer (U866) (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA), École des Hautes Études en Santé Publique [EHESP] (EHESP), Aide à la Décision pour une Médecine Personnalisé - Laboratoire de Biostatistique, Epidémiologie et Recherche Clinique - EA 2415 (AIDMP), Université Montpellier 1 (UM1)-Université de Montpellier (UM), Supported by Fondation ARSEP, CHU Nantes (Appel d’Offre Interne), and Association ANTARES. The French Observatoire of Multiple Sclerosis is supported by a grant provided by the French State and handled by the Agence Nationale de la Recherche, within the framework of the Investments for the Future program, under the reference ANR-10-COHO-002. The study was supported by West Neurosciences Network and Société Francophone de Scl´erose en Plaques, Fondation ARSEP, and by Appel d’Offre Interne du CHU de Nantes., SFSEP and OFSEP groups : Fontaine B, Marignier R, Durand-Dubief F, Mathey G, Le Page E, Peaureaux-Averseng D, Ouallet JC, Ruet A, Collongues N, Hautecoeur P, Zephir H, Maillard E, Cohen M, Derache N, Branger P, Ayrignac X, Carra-Dalliere C, Fromont A, Chamard-Witkowski L, Taithe F, Moisset X, Audoin B, Rico-Lamy A, Castelnovo G, Giannesini C, Fagniez O, Bensa C, Gueguen A, Kasonde IT, De Vilmarest A, Montcuquet A, Vaillants M, Beltran S, Creange A, Ayache S, Abdellaoui M, Pottier C, Slesari I, Deburghraeve V, Neau JP, Servan J, Pico F, Henry C, Hankiewicz K., Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Physiopathologie Toulouse Purpan ex IFR 30 et IFR 150 (CPTP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Service de neurologie, Centre Hospitalier Régional Universitaire de Nîmes (CHRU Nîmes), CHU Saint-Etienne, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de Neurologie [CHU Saint-Antoine], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Saint-Antoine [APHP], Département de Neurologie [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-IFR70-CHU Pitié-Salpêtrière [APHP], CHU Pitié-Salpêtrière [APHP], Centre National de la Recherche Scientifique (CNRS)-Université Jean Monnet [Saint-Étienne] (UJM)-Université Lumière - Lyon 2 (UL2), Fondation Ophtalmologique Rothschild, Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [Montpellier]-Université de Montpellier (UM), Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Bicêtre, Université de Montpellier (UM)-Université Montpellier 1 (UM1), Le Bihan, Sylvie, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-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)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National de la Recherche Agronomique (INRA), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Université de Lille, Droit et Santé-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Hôpital Bicêtre-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11), Neuro-Dol (Neuro-Dol), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), CHU Estaing [Clermont-Ferrand], CHU Clermont-Ferrand-CHU Clermont-Ferrand-CHU Gabriel Montpied [Clermont-Ferrand], and Hôpital Gui de Chauliac [Montpellier]-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université Montpellier 1 (UM1)-Université de Montpellier (UM)
Subjects: Adult, Male, medicine.medical_specialty, Toluidines, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Hydroxybutyrates, Effectiveness, Dimethyl fumarate, Multiple sclerosis, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Recurrence, Internal medicine, Teriflunomide, Nitriles, medicine, Humans, 030212 general & internal medicine, 10. No inequality, Adverse effect, ComputingMilieux_MISCELLANEOUS, Intention-to-treat analysis, Expanded Disability Status Scale, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, business.industry, Fingolimod Hydrochloride, Odds ratio, Middle Aged, Discontinuation, Treatment Outcome, chemistry, Crotonates, Propensity score matching, Disease Progression, Female, Neurology (clinical), business, 030217 neurology & neurosurgery, Immunosuppressive Agents, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: ObjectiveIn this study, we compared the effectiveness of teriflunomide (TRF) and dimethyl fumarate (DMF) on both clinical and MRI outcomes in patients followed prospectively in the Observatoire Français de la Sclérose en Plaques.MethodsA total of 1,770 patients with relapsing-remitting multiple sclerosis (RRMS) (713 on TRF and 1,057 on DMF) with an available baseline brain MRI were included in intention to treat. The 1- and 2-year postinitiation outcomes were relapses, increase of T2 lesions, increase in Expanded Disability Status Scale score, and reason for treatment discontinuation. Propensity scores (inverse probability weighting) and logistic regressions were estimated.ResultsThe confounder-adjusted proportions of patients were similar in TRF- compared to DMF-treated patients for relapses and disability progression after 1 and 2 years. However, the adjusted proportion of patients with at least one new T2 lesion after 2 years was lower in DMF compared to TRF (60.8% vs 72.2%, odds ratio [OR] 0.60, p < 0.001). Analyses of reasons for treatment withdrawal showed that lack of effectiveness was reported for 8.5% of DMF-treated patients vs 14.5% of TRF-treated patients (OR 0.54, p < 0.001), while adverse events accounted for 16% of TRF-treated patients and 21% of DMF-treated patients after 2 years (OR 1.39, p < 0.001).ConclusionsAfter 2 years of treatment, we found similar effectiveness of DMF and TRF in terms of clinical outcomes, but with better MRI-based outcomes for DMF-treated patients, resulting in a lower rate of treatment discontinuation due to lack of effectiveness.Classification of evidenceThis study provides Class III evidence that for patients with RRMS, TRF and DMF have similar clinical effectiveness after 2 years of treatment.
Published: 2019
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29. Ombres et lumières sur le Vietnam actuel

Author: Martin, Jean-Yves, Audier, N., Chemillier-Gendreau, M., Cosaert, P., Degallaix, S., Delalande, P., Devillers, P., Feray, P.R., Fourniau, C., Fromonteil, P., Gendreau, Francis, Gentric, J.J., De la Gorce, P.M., Houtard, F., Mantienne, F., Martin, Jean-Yves, Milliot, D., Papin, P., Pottier, C., Treglode, B. de, Van Regemorter, H., Weissberg, D., and Fourniau, C. (préf.)
Subjects: INEGALITE SOCIALE, DISPARITE REGIONALE, ACCES A L'ENSEIGNEMENT, SECTEUR PRIVE, DOI MOI, POLITIQUE DE L'EDUCATION, CHANGEMENT SOCIOECONOMIQUE, PYRAMIDE SCOLAIRE, SYSTEME EDUCATIF, FORMATION PROFESSIONNELLE, ENSEIGNEMENT SUPERIEUR, INDIVIDUALISATION
Published: 2003

30. Ombres et lumières sur le Vietnam actuel

Author: Gendreau, Francis, Audier, N., Chemillier-Gendreau, M., Cosaert, P., Degallaix, S., Delalande, P., Devillers, P., Feray, P.R., Fourniau, C., Fromonteil, P., Gendreau, Francis, Gentric, J.J., De la Gorce, P.M., Houtard, F., Mantienne, F., Martin, Jean-Yves, Milliot, D., Papin, P., Pottier, C., Treglode, B. de, Van Regemorter, H., Weissberg, D., and Fourniau, C. (préf.)
Subjects: MORTALITE, CONTRACEPTION, POLITIQUE MIGRATOIRE, SCOLARISATION, DEMOGRAPHIE, SANTE PUBLIQUE, BAISSE DE LA FECONDITE, MOBILITE SPATIALE, HABITAT, URBANISATION, VIEILLISSEMENT
Published: 2003

31. Delay from treatment start to full effect of immunotherapies for multiple sclerosis

Author: Roos, Izanne, Leray, Emmanuelle, Frascoli, Federico, Casey, Romain, Brown, J William L, Horakova, Dana, Havrdova, Eva, Trojano, Maria, Patti, Francesco, Izquierdo, Guillermo, Eichau, Sara, Onofrj, Marco, Lugaresi, Alessandra, Prat, Alexandre, Girard, Marc, Grammond, Pierre, Sola, Patrizia, Ferraro, Diana, Ozakbas, Serkan, Bergamaschi, Roberto, Sá, Maria José, Cartechini, Elisabetta, Boz, Cavit, Granella, Franco, Hupperts, Raymond, Terzi, Murat, Lechner-Scott, Jeannette, Spitaleri, Daniele, Van Pesch, Vincent, Soysal, Aysun, Olascoaga, Javier, Prevost, Julie, Aguera-Morales, Eduardo, Slee, Mark, Csepany, Tunde, Turkoglu, Recai, Sidhom, Youssef, Gouider, Riadh, Van Wijmeersch, Bart, McCombe, Pamela, Macdonell, Richard, Coles, Alasdair, Malpas, Charles, Butzkueven, Helmut, Vukusic, Sandra, Kalincik, Tomas, Duquette, Pierre, Grand'Maison, Francois, Iuliano, Gerardo, Ramo-Tello, Cristina, Solaro, Claudio, Cabrera-Gomez, Jose Antonio, Rio, Maria Edite, Bolaños, Ricardo Fernandez, Shaygannejad, Vahid, Oreja-Guevara, Celia, Sanchez-Menoyo, Jose Luis, Petersen, Thor, Altintas, Ayse, Barnett, Michael, Flechter, Shlomo, Fragoso, Yara, Amato, Maria Pia, Moore, Fraser, Ampapa, Radek, Verheul, Freek, Hodgkinson, Suzanne, Cristiano, Edgardo, Yamout, Bassem, Laureys, Guy, Dominguez, Jose Andres, Zwanikken, Cees, Deri, Norma, Dobos, Eniko, Vrech, Carlos, Butler, Ernest, Rozsa, Csilla, Petkovska-Boskova, Tatjana, Karabudak, Rana, Rajda, Cecilia, Alkhaboori, Jabir, Saladino, Maria Laura, Shaw, Cameron, Shuey, Neil, Vucic, Steve, Sempere, Angel Perez, Campbell, Jamie, Piroska, Imre, Taylor, Bruce, van der Walt, Anneke, Kappos, Ludwig, Roullet, Etienne, Gray, Orla, Simo, Magdolna, Sirbu, Carmen-Adella, Brochet, Bruno, Cotton, François, De Sèze, Jérôme, Dion, Armelle, Douek, Pascal, Guillemin, Francis, Laplaud, David, Lebrun-Frenay, Christine, Moreau, Thibault, Olaiz, Javier, Pelletier, Jean, Rigaud-Bully, Claire, Stankoff, Bruno, Marignier, Romain, Debouverie, Marc, Edan, Gilles, Ciron, Jonathan, Ruet, Aurélie, Collongues, Nicolas, Lubetzki, Catherine, Vermersch, Patrick, Labauge, Pierre, Defer, Gilles, Cohen, Mikaël, Fromont, Agnès, Wiertlewsky, Sandrine, Berger, Eric, Clavelou, Pierre, Audoin, Bertrand, Giannesini, Claire, Gout, Olivier, Thouvenot, Eric, Heinzlef, Olivier, Al-Khedr, Abdullatif, Bourre, Bertrand, Casez, Olivier, Cabre, Philippe, Montcuquet, Alexis, Créange, Alain, Camdessanché, Jean-Philippe, Faure, Justine, Maurousset, Aude, Patry, Ivania, Hankiewicz, Karolina, Pottier, Corinne, Maubeuge, Nicolas, Labeyrie, Céline, Nifle, Chantal, University of Melbourne, The Royal Melbourne Hospital, Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), École des Hautes Études en Santé Publique [EHESP] (EHESP), Département Méthodes quantitatives en santé publique (METIS), Swinburne University of Technology [Melbourne], Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, University of Cambridge [UK] (CAM), Medicine Charles University and General Faculty Hospital in Prague, University of Bari Aldo Moro (UNIBA), University of Catania [Italy], Hospital Universitario Virgen Macarena [Seville, Spain], University 'G. d'Annunzio' of Chieti-Pescara [Chieti], Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Université de Montréal (UdeM), University of Modena and Reggio Emilia, Partenaires INRAE, Dokuz Eylül Üniversitesi = Dokuz Eylül University [Izmir] (DEÜ), IRCCS Mondino Foundation, Universidade Fernando Pessoa, KTU Medical Faculty Farabi Hospital, University of Parma = Università degli studi di Parma [Parme, Italie], Zuyderland Ziekenhuis, Medical Faculty [Samsun, Turkey], University of Newcastle [Australia] (UoN), Université Catholique de Louvain = Catholic University of Louvain (UCL), Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Hospital Universitario Donostia, Hospital Universitario Reina Sofía de Córdoba, Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Haydarpasa Numune Training and Research Hospital, Hasselt University (UHasselt), University of Queensland [Brisbane], Hitachi Cambridge Laboratory [University of Cambridge], Hitachi, Ltd-University of Cambridge [UK] (CAM), Monash University [Melbourne], Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CR CHUM), Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM)-Université de Montréal (UdeM), Ospedali Riuniti di Salerno, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Université de Montpellier (UM), Centre hospitalier universitaire de Poitiers (CHU Poitiers), AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), 1157717, National Health and Medical Research Council, Biogen, MSIF-ARSEP McDonald, Melbourne Research Scholarship, French State, ‘Agence Nationale de la Recherche,’, ANR-10-COHO-002, ‘Investments for the Future’, Eugène Devic EDMUS Foundation, ARSEP Foundation, Novartis, Merck, Roche, Teva Pharmaceutical Industries, Sanofi Genzyme, EDMUS Foundation, UCL - SSS/IONS/CEMO - Pôle Cellulaire et moléculaire, UCL - (SLuc) Service de neurologie, Roos I., Leray E., Frascoli F., Casey R., Brown W.J.L., Horakova D., Havrdova E.K., Trojano M., Patti F., Izquierdo G., Eichau S., Onofrj M., Lugaresi A., Prat A., Girard M., Grammond P., Sola P., Ferraro D., Ozakbas S., Bergamaschi R., Sa M.J., Cartechini E., Boz C., Granella F., Hupperts R., Terzi M., Lechner-Scott J., Spitaleri D., van Pesch V., Soysal A., Olascoaga J., Prevost J., Aguera-Morales E., Slee M., Csepany T., Turkoglu R., Sidhom Y., Gouider R., van Wijmeersch B., McCombe P., Macdonell R., Coles A., Malpas C.B., Butzkueven H., Vukusic S., Kalincik T., Duquette P., Grand'Maison F., Iuliano G., Ramo-Tello C., Solaro C., Cabrera-Gomez J.A., Rio M.E., Bolanos R.F., Shaygannejad V., Oreja-Guevara C., Sanchez-Menoyo J.L., Petersen T., Altintas A., Barnett M., Flechter S., Fragoso Y., Amato M.P., Moore F., Ampapa R., Verheul F., Hodgkinson S., Cristiano E., Yamout B., Laureys G., Dominguez J.A., Zwanikken C., Deri N., Dobos E., Vrech C., Butler E., Rozsa C., Petkovska-Boskova T., Karabudak R., Rajda C., Alkhaboori J., Saladino M.L., Shaw C., Shuey N., Vucic S., Sempere A.P., Campbell J., Piroska I., Taylor B., van der Walt A., Kappos L., Roullet E., Gray O., Simo M., Sirbu C.-A., Brochet B., Cotton F., de Seze J., Dion A., Douek P., Guillemin F., Laplaud D., Lebrun-Frenay C., Moreau T., Olaiz J., Pelletier J., Rigaud-Bully C., Stankoff B., Marignier R., Debouverie M., Edan G., Ciron J., Ruet A., Collongues N., Lubetzki C., Vermersch P., Labauge P., Defer G., Cohen M., Fromont A., Wiertlewsky S., Berger E., Clavelou P., Audoin B., Giannesini C., Gout O., Thouvenot E., Heinzlef O., Al-Khedr A., Bourre B., Casez O., Cabre P., Montcuquet A., Creange A., Camdessanche J.-P., Faure J., Maurousset A., Patry I., Hankiewicz K., Pottier C., Maubeuge N., Labeyrie C., Nifle C., Brown, Will [0000-0002-7737-5834], Coles, Alasdair [0000-0003-4738-0760], Apollo - University of Cambridge Repository, McCombe, Pamela/0000-0003-2704-8517, Slee, Mark/0000-0003-4323-2453, Brown, William/0000-0002-7737-5834, Laplaud, David/0000-0001-6113-6938, Ciron, Jonathan/0000-0002-3386-6308, Roos, Izanne/0000-0003-0371-3666, Lugaresi, Alessandra/0000-0003-2902-5589, Aguera-Morales, Eduardo/0000-0002-8604-2054, Kalincik, Tomas, Girard, Marc, Patti, Francesco, Horakova, Dana, Malpas, Charles B., Olascoaga, Javier, Prevost, Julie, Roos, Izanne, Hupperts, Raymond, Csepany, Tunde, VAN WIJMEERSCH, Bart, Ferraro, Diana, Aguera-Morales, Eduardo, Cartechini, Elisabetta, Vukusic, Sandra, Frascoli, Federico, Lugaresi, Alessandra, Sa, Maria Jose, Butzkueven, Helmut, Spitaleri, Daniele, Macdonell, Richard, Coles, Alasdair, Havrdova, Eva K., Granella, Franco, Turkoglu, Recai, Trojano, Maria, Sola, Patrizia, Van Pesch, Vincent, Onofrj, Marco, Grammond, Pierre, Bergamaschi, Roberto, Izquierdo, Guillermo, McCombe, Pamela, Slee, Mark, Eichau, Sara, Prat, Alexandre, Leray, Emmanuelle, Soysal, Aysun, Terzi, Murat, Brown, J. William L., Boz, Cavit, Sidhom, Youssef, Gouider, Riadh, Ozakbas, Serkan, Casey, Romain, Lechner-Scott, Jeannette, Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Hospital Universitario Virgen Macarena [Séville], Università degli studi di Parma = University of Parma (UNIPR), University of Newcastle [Callaghan, Australia] (UoN), University of Cambridge [UK] (CAM)-Hitachi, Ltd, and ANR-10-COHO-0002,OFSEP,Observatoire Français de la Sclérose en Plaques(2010)
Subjects: Adult, Male, medicine.medical_specialty, Multiple Sclerosis, Time Factors, multiple sclerosis, law.invention, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Natalizumab, Randomized controlled trial, law, Internal medicine, medicine, Humans, Immunologic Factors, Multiple sclerosi, 030212 general & internal medicine, Prospective Studies, Registries, Prospective cohort study, therapeutic lag, business.industry, Multiple sclerosis, Interferon beta-1a, Middle Aged, medicine.disease, Fingolimod, 3. Good health, Treatment Outcome, Cohort, Disease Progression, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Female, Neurology (clinical), business, Immunotherapies, 030217 neurology & neurosurgery, Immunosuppressive Agents, Therapeutic lag, prognosis, treatment, medicine.drug, Cohort study, Follow-Up Studies
Abstract: In multiple sclerosis, treatment start or switch is prompted by evidence of disease activity. Whilst immunomodulatory therapies reduce disease activity, the time required to attain maximal effect is unclear. In this study we aimed to develop a method that allows identification of the time to manifest fully and clinically the effect of multiple sclerosis treatments ('therapeutic lag') on clinical disease activity represented by relapses and progression-of-disability events. Data from two multiple sclerosis registries, MSBase (multinational) and OFSEP (French), were used. Patients diagnosed with multiple sclerosis, minimum 1-year exposure to treatment, minimum 3-year pretreatment follow-up and yearly review were included in the analysis. For analysis of disability progression, all events in the subsequent 5-year period were included. Density curves, representing incidence of relapses and 6-month confirmed progression events, were separately constructed for each sufficiently represented therapy. Monte Carlo simulations were performed to identify the first local minimum of the first derivative after treatment start; this point represented the point of stabilization of treatment effect, after the maximum treatment effect was observed. The method was developed in a discovery cohort (MSBase), and externally validated in a separate, non-overlapping cohort (OFSEP). A merged MSBase-OFSEP cohort was used for all subsequent analyses. Annualized relapse rates were compared in the time before treatment start and after the stabilization of treatment effect following commencement of each therapy. We identified 11 180 eligible treatment epochs for analysis of relapses and 4088 treatment epochs for disability progression. External validation was performed in four therapies, with no significant difference in the bootstrapped mean differences in therapeutic lag duration between registries. The duration of therapeutic lag for relapses was calculated for 10 therapies and ranged between 12 and 30 weeks. The duration of therapeutic lag for disability progression was calculated for seven therapies and ranged between 30 and 70 weeks. Significant differences in the pre- versus post-treatment annualized relapse rate were present for all therapies apart from intramuscular interferon beta-1a. In conclusion we have developed, and externally validated, a method to objectively quantify the duration of therapeutic lag on relapses and disability progression in different therapies in patients more than 3 years from multiple sclerosis onset. Objectively defined periods of expected therapeutic lag allows insights into the evaluation of treatment response in randomized clinical trials and may guide clinical decision-making in patients who experience early on-treatment disease activity. This method will subsequently be applied in studies that evaluate the effect of patient and disease characteristics on therapeutic lag. This study was supported by the EDMUS Foundation, Biogen and NHMRC (1140766, 1129189, 1157717). I.R. is supported by a MSIF-ARSEP McDonald fellowship grant and a Melbourne Research Scholarship. The MSBase Foundation is a not-for-profit organization that receives support from Biogen, Novartis, Merck, Roche, Teva and Sanofi Genzyme. The Observatoire Francais de la Sclerose en Plaques (OFSEP) is supported by a grant provided by the French State and handled by the 'Agence Nationale de la Recherche,' within the framework of the 'Investments for the Future' program, under the reference ANR-10-COHO-002, by the Eugene Devic EDMUS Foundation against multiple sclerosis and by the ARSEP Foundation. The study was conducted separately and apart from the guidance of the sponsors. Kalincik, T (corresponding author), Univ Melbourne, Dept Med, CORe, 300 Grattan St, Melbourne, Vic 3050, Australia. tomas.kalincik@unimelb.edu.au
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32. Haploinsufficiency of lysosomal enzyme genes in Alzheimer's disease.

Author: Benitez BA, Wallace CE, Patel M, Nykanen NP, Yuede CM, Eaton SL, Pottier C, Cetin A, Johnson M, Bevan MT, Gardiner WD, Edwards HM, Doherty BM, Harrigan RT, Kurian D, Wishart TM, Smith C, Cirrito JR, and Sands MS
Abstract: There is growing evidence suggesting that the lysosome or lysosome dysfunction is associated with Alzheimer's disease (AD). Pathway analysis of post mortem brain-derived proteomic data from AD patients shows that the lysosomal system is perturbed relative to similarly aged unaffected controls. However, it is unclear if these changes contributed to the pathogenesis or are a response to the disease. Consistent with the hypothesis that lysosome dysfunction contributes to AD pathogenesis, whole genome sequencing data indicate that heterozygous pathogenic mutations and predicted protein-damaging variants in multiple lysosomal enzyme genes are enriched in AD patients compared to matched controls. Heterozygous loss-of-function mutations in the palmitoyl protein thioesterase-1 ( PPT1 ), α-L-iduronidase ( IDUA ), β-glucuronidase ( GUSB ), N-acetylglucosaminidase ( NAGLU ), and galactocerebrosidase ( GALC ) genes have a gene-dosage effect on Aβ 40 levels in brain interstitial fluid in C57BL/6 mice and significantly increase Aβ plaque formation in the 5xFAD mouse model of AD, thus providing in vivo validation of the human genetic data. A more detailed analysis of PPT1 heterozygosity in 18-month-old mice revealed changes in α-, β-, and γ-secretases that favor an amyloidogenic pathway. Proteomic changes in brain tissue from aged PPT1 heterozygous sheep are consistent with both the mouse data and the potential activation of AD pathways. Finally, CNS-directed, AAV-mediated gene therapy significantly decreased Aβ plaques, increased life span, and improved behavioral performance in 5xFAD/PPT1+/- mice. Collectively, these data strongly suggest that heterozygosity of multiple lysosomal enzyme genes represent risk factors for AD and may identify precise therapeutic targets for a subset of genetically-defined AD patients.
Published: 2024
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33. Photometric stereo data for the validation of a structural health monitoring test rig.

Author: Blair J, Stephen B, Brown B, McArthur S, Gorman D, Forbes A, Pottier C, McAlorum J, Dow H, and Perry M
Abstract: Photometric stereo uses images of objects illuminated from various directions to calculate surface normals which can be used to generate 3D meshes of the object. Such meshes can be used by engineers to estimate damage of a concrete surface, or track damage progression over time to inform maintenance decisions. This dataset [1] was collected to quantify the uncertainty in a photometric stereo test rig through both the comparison with a well characterised method (coordinate measurement machine) and experiment virtualisation. Data was collected for 9 real objects using both the test rig and the coordinate measurement machine. These objects range from clay statues to damaged concrete slabs. Furthermore, synthetic data for 12 objects was created via virtual renders generated using Blender (3D software) [2]. The two methods of data generation allowed the decoupling of the physical rig (used to light and photograph objects) and the photometric stereo algorithm (used to convert images and lighting information into 3D meshes). This data can allow users to: test their own photometric stereo algorithms, with specialised data created for structural health monitoring applications; provide an industrially relevant case study to develop and test uncertainty quantification methods on test rigs for structural health monitoring of concrete; or develop data processing methodologies for the alignment of scaled, translated, and rotated data., (© 2024 The Author(s).)
Published: 2024
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34. The SERPINA5 coding variant E228Q does not contribute to clinicopathologic characteristics in Alzheimer's disease: A cross-sectional study.

Author: Matchett BJ, Lincoln SJ, Baker M, Tamvaka N, Labuzan SA, Hicks Sirmans TN, Moloney CM, Helminger J, Hinkle KM, Cabrera-Rodriguez J, Wickland DP, Johnson PW, Heckman MG, Reddy JS, Younkin SG, Carrasquillo MM, Duara R, Graff-Radford NR, Pottier C, Ertekin-Taner N, Ross OA, Rademakers R, Dickson DW, and Murray ME
Subjects: Humans, Cross-Sectional Studies, Neurofibrillary Tangles metabolism, Neurofibrillary Tangles pathology, Brain pathology, Hippocampus metabolism, tau Proteins genetics, tau Proteins metabolism, Protein C Inhibitor metabolism, Alzheimer Disease metabolism
Abstract: We previously demonstrated that increased expression of the SERPINA5 gene is associated with hippocampal vulnerability in Alzheimer's disease (AD) brains. SERPINA5 was further demonstrated to be a novel tau-binding partner that colocalizes within neurofibrillary tangles. Our goal was to determine whether genetic variants in the SERPINA5 gene contributed to clinicopathologic phenotypes in AD. To screen for SERPINA5 variants, we sequenced 103 autopsy-confirmed young-onset AD cases with a positive family history of cognitive decline. To further assess the frequency of a rare missense variant, SERPINA5 p.E228Q, we screened an additional 1114 neuropathologically diagnosed AD cases. To provide neuropathologic context in AD, we immunohistochemically evaluated SERPINA5 and tau in a SERPINA5 p.E228Q variant carrier and a matched noncarrier. In the initial SERPINA5 screen, we observed 1 individual with a rare missense variant (rs140138746) that resulted in an amino acid change (p.E228Q). In our AD validation cohort, we identified an additional 5 carriers of this variant, resulting in an allelic frequency of 0.0021. There was no significant difference between SERPINA5 p.E228Q carriers and noncarriers in terms of demographic or clinicopathologic characteristics. Although not significant, on average SERPINA5 p.E228Q carriers were 5 years younger at age of disease onset than noncarriers (median: 66 [60-73] vs 71 [63-77] years, P = .351). In addition, SERPINA5 p.E228Q carriers exhibited a longer disease duration than noncarriers that approached significance (median: 12 [10-15]) vs 9 [6-12] years, P = .079). More severe neuronal loss was observed in the locus coeruleus, hippocampus, and amygdala of the SERPINA5 p.E228Q carrier compared to noncarrier, although no significant difference in SERPINA5-immunopositive lesions was observed. Throughout the AD brain in either carrier or noncarrier, areas with early pretangle pathology or burnt-out ghost tangle accumulation did not reveal SERPINA5-immunopositive neurons. Mature tangles and newly formed ghost tangles appeared to correspond well with SERPINA5-immunopositive tangle-bearing neurons. SERPINA5 gene expression was previously associated with disease phenotype; however, our findings suggest that SERPINA5 genetic variants may not be a contributing factor to clinicopathologic differences in AD. SERPINA5-immunopositive neurons appear to undergo a pathologic process that corresponded with specific levels of tangle maturity., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)
Published: 2023
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35. Exposure of Cryptococcus neoformans to Seven Commonly Used Agricultural Azole Fungicides Induces Resistance to Fluconazole as Well as Cross-Resistance to Voriconazole, Posaconazole, Itraconazole and Isavuconazole.

Author: Drakulovski P, Krasteva D, Bellet V, Randazzo S, Roger F, Pottier C, and Bertout S
Abstract: Background: Cross-resistance to medical azoles by exposure to azole pesticides is well documented for Aspergillus family fungi but is poorly evaluated for other environmental pathogen fungi, particularly for yeasts belonging to the Cryptococcus neoformans / Cryptococcus gattii species complexes., Methods: One thousand C. neoformans yeast were exposed to various concentrations of seven different commonly used azole pesticides. Clones surviving exposure were picked randomly, and their minimal inhibitory concentrations (MICs) of fluconazole, voriconazole, posaconazole, itraconazole and isavuconazole were assessed., Results: Depending on the pesticide used for exposure, up to 13.3% of selected Cryptococcus colonies showed a phenotype of resistance to fluconazole, and among them, several showed cross-resistance to another or several other medical azoles. Molecular mechanisms involved in the resistance setups seem to be dependent on ERG11 and AFR1 gene overexpression., Conclusion: Exposure to any of the seven azole pesticides tested is capable of increasing the MIC of fluconazole in C. neoformans , including up to the level of the fluconazole-resistant phenotype, as well as generating cross-resistance to other medical azoles in some cases.
Published: 2023
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36. Shared brain transcriptomic signature in TDP-43 type A FTLD patients with or without GRN mutations.

Author: Pottier C, Mateiu L, Baker MC, DeJesus-Hernandez M, Teixeira Vicente C, Finch NA, Tian S, van Blitterswijk M, Murray ME, Ren Y, Petrucelli L, Oskarsson B, Biernacka JM, Graff-Radford NR, Boeve BF, Petersen RC, Josephs KA, Asmann YW, Dickson DW, and Rademakers R
Subjects: Brain metabolism, DNA-Binding Proteins genetics, DNA-Binding Proteins metabolism, Humans, Intercellular Signaling Peptides and Proteins genetics, Intercellular Signaling Peptides and Proteins metabolism, Mutation, Transcriptome, Frontotemporal Dementia genetics, Frontotemporal Dementia metabolism, Frontotemporal Lobar Degeneration genetics, Frontotemporal Lobar Degeneration metabolism, Progranulins genetics, Progranulins metabolism
Abstract: Frontotemporal lobar degeneration with TDP-43 inclusions (FTLD-TDP) is a complex heterogeneous neurodegenerative disorder for which mechanisms are poorly understood. To explore transcriptional changes underlying FTLD-TDP, we performed RNA-sequencing on 66 genetically unexplained FTLD-TDP patients, 24 FTLD-TDP patients with GRN mutations and 24 control participants. Using principal component analysis, hierarchical clustering, differential expression and coexpression network analyses, we showed that GRN mutation carriers and FTLD-TDP-A patients without a known mutation shared a common transcriptional signature that is independent of GRN loss-of-function. After combining both groups, differential expression as compared to the control group and coexpression analyses revealed alteration of processes related to immune response, synaptic transmission, RNA metabolism, angiogenesis and vesicle-mediated transport. Deconvolution of the data highlighted strong cellular alterations that were similar in FTLD-TDP-A and GRN mutation carriers with NSF as a potentially important player in both groups. We propose several potentially druggable pathways such as the GABAergic, GDNF and sphingolipid pathways. Our findings underline new disease mechanisms and strongly suggest that affected pathways in GRN mutation carriers extend beyond GRN and contribute to genetically unexplained forms of FTLD-TDP-A., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Guarantors of Brain.)
Published: 2022
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37. Periostin in lymph node pre-metastatic niches governs lymphatic endothelial cell functions and metastatic colonization.

Author: Gillot L, Lebeau A, Baudin L, Pottier C, Louis T, Durré T, Longuespée R, Mazzucchelli G, Nizet C, Blacher S, Kridelka F, and Noël A
Subjects: Animals, Endothelial Cells metabolism, Female, Humans, Lymphatic Metastasis pathology, Mice, Proteomics, Vascular Endothelial Growth Factor C metabolism, Cell Adhesion Molecules metabolism, Lymph Nodes metabolism, Uterine Cervical Neoplasms metabolism
Abstract: Although lymph node (LN) metastasis is an important prognostic parameter in cervical cancer, the tissue remodeling at a pre-metastatic state is poorly documented in LNs. We here identified periostin (POSTN) as a component of non-metastatic LNs by applying proteomic analyses and computerized image quantifications on LNs of patients with cervical cancer. We provide evidence for remarkable modifications of POSTN and lymphatic vessel distributions and densities in non-metastatic sentinel and metastatic human LNs, when compared to distant non-metastatic LNs. POSTN deposition at a pre-metastatic stage was demonstrated in a pre-clinical murine model (the ear sponge assay). Its expression by fibroblastic LN cells was assessed by in situ hybridization and in vitro cultures. In vitro, POSTN promoted lymphatic endothelial cell functions and tumor cell proliferation. Accordingly, the in vivo injection of recombinant POSTN together with VEGF-C boosted the lymphangiogenic response, while the metastatic potential of tumor cells was drastically reduced using a POSTN blocking antibody. This translational study also supports the existence of an unprecedented dialog "in cascade", between the primary tumor and the first pelvic nodal relay in early cervical cancer, and subsequently from pelvic LN to para-aortic LNs in locally advanced cervical cancers. Collectively, this work highlights the association of POSTN deposition with lymphangiogenesis in LNs, and provides evidence for a key contribution of POSTN in promoting VEGF-C driven lymphangiogenesis and the seeding of metastatic cells., (© 2022. The Author(s).)
Published: 2022
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38. Comparative Effectiveness of Natalizumab Versus Anti-CD20 in Highly Active Relapsing-Remitting Multiple Sclerosis After Fingolimod Withdrawal.

Author: Rollot F, Couturier J, Casey R, Wiertlewski S, Debouverie M, Pelletier J, De Sèze J, Labauge P, Ruet A, Thouvenot E, Ciron J, Berger E, Gout O, Clavelou P, Stankoff B, Casez O, Bourre B, Zephir H, Moreau T, Lebrun-Frenay C, Maillart E, Edan G, Neau JP, Montcuquet A, Cabre P, Camdessanché JP, Defer G, Nasr HB, Maurousset A, Hankiewicz K, Pottier C, Leray E, Vukusic S, and Laplaud DA
Subjects: Antigens, CD20, Fingolimod Hydrochloride therapeutic use, Humans, Immunologic Factors adverse effects, Immunosuppressive Agents therapeutic use, Natalizumab adverse effects, Recurrence, Multiple Sclerosis drug therapy, Multiple Sclerosis, Relapsing-Remitting drug therapy
Abstract: In France, two therapeutic strategies can be offered after fingolimod (FNG) withdrawal to highly active relapsing-remitting multiple sclerosis (RRMS) patients: natalizumab (NTZ) or anti-CD20. We compared the effectiveness of these two strategies as a switch for FNG within the OFSEP database. The primary endpoint was the time to first relapse. Other outcomes were the relapse rates over 3-month periods, time to worsening the EDSS score, proportion of patients with worsened 24-month MRI, time to treatment discontinuation, and incidence rates of serious adverse events. The dynamics of event rates over time were modeled using multidimensional penalized splines, allowing the possibility to model the effects of covariates in a flexible way, considering non-linearity and interactions. A total of 740 patients were included (337 under anti-CD20 and 403 under NTZ). There was no difference between the two treatments regarding the dynamic of the first occurrence of relapse, with a monthly probability of 5.0% at initiation and 1.0% after 6 months. The rate of EDSS worsening increased in both groups until 6 months and then decreased. No difference in the proportion of patients with new T2 lesions at 24 months was observed. After 18 months of follow-up, a greater risk of NTZ discontinuation was found compared to anti-CD20. This study showed no difference between NTZ and anti-CD20 after the FNG switch regarding the clinical and radiological activity. The effect of these treatments was optimal after 6 months and there was more frequent discontinuation of NTZ after 18 months, probably mainly related to JC virus seroconversions., (© 2022. The American Society for Experimental NeuroTherapeutics, Inc.)
Published: 2022
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39. Search for Cryptococcus neoformans/gattii Complexes and Related Genera ( Filobasidium, Holtermanniella , Naganishia, Papiliotrema, Solicoccozyma, Vishniacozyma ) spp. Biotope: Two Years Surveillance of Wild Avian Fauna in Southern France.

Author: Bertout S, Gouveia T, Krasteva D, Pierru J, Pottier C, Bellet V, Arianiello E, Salipante F, Roger F, and Drakulovski P
Abstract: Fungi belonging to the Cryptococcus genus and related genera ( Filobasidium , Holtermanniella , Naganishia , Papiliotrema , Solicoccozyma , Vishniacozyma ) are encapsulated yeasts found in either the environment or animal sources. However, the precise biotopes of most species remain poorly defined. To assess whether wild birds from southern France can carry or spread the most pathogenic species (i.e., species belonging to the C. neoformans and C. gattii complexes), as well as lesser-studied species (non- neoformans/gattii Cryptococcus and former Cryptococcus spp.), 669 birds belonging to 89 species received for care over a two-year period at the Centre de Protection de la Faune Sauvage of Villeveyrac (Bird Protection League nongovernmental organization (NGO) care center) were sampled. Samples were cultured, and Cryptococcus and former Cryptococcus yeasts were identified by PCR sequencing. The purpose was to evaluate whether there was any health risk to local populations or care personnel in aviaries and gather new data on the ecological niches of lesser-known species. One hundred and seven birds (16%) were found to be positive for at least one Cryptococcus or former Cryptococcus species. No yeasts belonging to the highly pathogenic C. neoformans or C. gattii complexes were isolated. However, diversity was notable, with 20 different Cryptococcus or former Cryptococcus species identified. Furthermore, most bird-yeast species associations found in this study have never been described before.
Published: 2022
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40. Cutaneous Horn on Four-year-old Child's Arm: A Quiz.

Author: Pottier C, Maruani A, Dujardin F, and Robert J
Published: 2021
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41. Tumor resistance to ferroptosis driven by Stearoyl-CoA Desaturase-1 (SCD1) in cancer cells and Fatty Acid Biding Protein-4 (FABP4) in tumor microenvironment promote tumor recurrence.

Author: Luis G, Godfroid A, Nishiumi S, Cimino J, Blacher S, Maquoi E, Wery C, Collignon A, Longuespée R, Montero-Ruiz L, Dassoul I, Maloujahmoum N, Pottier C, Mazzucchelli G, Depauw E, Bellahcène A, Yoshida M, Noel A, and Sounni NE
Subjects: Endothelial Cells metabolism, Fatty Acid-Binding Proteins, Fatty Acids, Humans, Neoplasm Recurrence, Local, Stearoyl-CoA Desaturase metabolism, Tumor Microenvironment, Ferroptosis
Abstract: Problem: Tumor recurrence is a major clinical issue that represents the principal cause of cancer-related deaths, with few targetable common pathways. Mechanisms by which residual tumors persist and progress under a continuous shift between hypoxia-reoxygenation after neoadjuvent-therapy are unknown. In this study, we investigated the role of lipid metabolism and tumor redox balance in tumor recurrence., Methods: Lipidomics, proteomics and mass spectrometry imaging approaches where applied to mouse tumor models of recurrence. Genetic and pharmacological inhibitions of lipid mediators in tumors were used in vivo and in functional assays in vitro., Results: We found that stearoyl-CoA desaturase-1 (SCD1) expressed by cancer cells and fatty acid binding protein-4 (FABP4) produced by tumor endothelial cells (TECs) and adipocytes in the tumor microenvironment (TME) are essential for tumor relapse in response to tyrosine kinase inhibitors (TKI) and chemotherapy. SCD1 and FABP4 were also found upregulated in recurrent human breast cancer samples and correlated with worse prognosis of cancer patients with different types of tumors. Mechanistically, SCD1 leads to fatty acid (FA) desaturation and FABP4 derived from TEM enhances lipid droplet (LD) in cancer cells, which cooperatively protect from oxidative stress-induced ferroptosis. We revealed that lipid mobilization and desaturation elicit tumor intrinsic antioxidant and anti-ferroptotic resources for survival and regrowth in a harsh TME. Inhibition of lipid transport from TME by FABP4 inhibitor reduced tumor regrowth and by genetic - or by pharmacological - targeting SCD1 in vivo, tumor regrowth was abolished completely., Conclusion: This finding unveils that it is worth taking advantage of tumor lipid addiction, as a tumor vulnerability to design novel treatment strategy to prevent cancer recurrence., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2021
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42. Inter-rater Reliability of a 13-Category Arterial Doppler Waveform Classification and Practice of French Vascular Physicians.

Author: Lanéelle D, Guillaumat J, Trihan JE, Pottier C, Omarjee L, and Mahé G
Abstract: Background: Arterial Doppler Ultrasound waveform (DW) analysis allows the detection and evaluation of lower extremity peripheral artery disease. The high heterogeneity of the reported description of DW is reduced by the use of classification. However, the reliability of these classifications is either unknown or low to moderate and practices of vascular caregivers regarding the use of these classifications remain unknown. Aims: This study aims to assess the inter-observer reliability of the Saint-Bonnet classification, a 13-category DW classification. The secondary objective was to determine the utilization rate of the most common classifications and the ability of these classifications to describe DW. Methods: A national survey was conducted among all vascular physicians of French society of vascular medicine. They were invited by email to describe on a website 20 DW without and with the display of the Saint-Bonnet classification. The reliability of this classification was estimated by Fleiss' Kappa expressed with [95% confidence interval]. A semantic analysis allowed us to classify the physicians' responses according to the terms used. Finally we have evaluated for each classification the rate of misuse, i.e., the addition of a complementary term to the defined categories. Results: One hundred and ten physicians participated and only 5% of these were familiar with Saint-Bonnet classification. Fifty-four percent of vascular physicians used no classification at all. Vascular physicians used the Spronk (four-category), Descotes (five-category) and Saint-Bonnet (13-category) classifications for respectively, 31, 10, and 5%. Kappa coefficient of Fleiss (κ) was 0.546 [0.544-0.547] ( p < 0.001). Reliability by category ranges from κ of 0.075 to 0.864. In multivariate analysis, the use of a classification was associated with fewer years of experience and was dependent on geographic location. Misuse rate by classification was 88, 82, and 5% using Spronk, Descotes and Saint-Bonnet classifications respectively. Conclusion: The reliability of Saint-Bonnet classification is weak to moderate by vascular physicians who are not familiar with its use. However, unlike the other classifications, it seems to be sufficiently precise so that the user does not need to complete its description. There is a significant heterogeneity in the use of arterial Doppler classifications in France., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Lanéelle, Guillaumat, Trihan, Pottier, Omarjee, Mahé and SFMV PAD Study Group.)
Published: 2021
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43. Diachronic modeling of the population within the medieval Greater Angkor Region settlement complex.

Author: Klassen S, Carter AK, Evans DH, Ortman S, Stark MT, Loyless AA, Polkinghorne M, Heng P, Hill M, Wijker P, Niles-Weed J, Marriner GP, Pottier C, and Fletcher RJ
Abstract: Angkor is one of the world's largest premodern settlement complexes (9th to 15th centuries CE), but to date, no comprehensive demographic study has been completed, and key aspects of its population and demographic history remain unknown. Here, we combine lidar, archaeological excavation data, radiocarbon dates, and machine learning algorithms to create maps that model the development of the city and its population growth through time. We conclude that the Greater Angkor Region was home to approximately 700,000 to 900,000 inhabitants at its apogee in the 13th century CE. This granular, diachronic, paleodemographic model of the Angkor complex can be applied to any ancient civilization., (Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).)
Published: 2021
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44. Impact of variant-level batch effects on identification of genetic risk factors in large sequencing studies.

Author: Wickland DP, Ren Y, Sinnwell JP, Reddy JS, Pottier C, Sarangi V, Carrasquillo MM, Ross OA, Younkin SG, Ertekin-Taner N, Rademakers R, Hudson ME, Mainzer LS, Biernacka JM, and Asmann YW
Subjects: Alleles, Alzheimer Disease genetics, Alzheimer Disease pathology, Apolipoproteins E genetics, Databases, Genetic, Exome, Female, Gene Frequency, Genetic Predisposition to Disease, Genotype, Humans, Male, Membrane Transport Proteins genetics, Mitochondrial Precursor Protein Import Complex Proteins, Polymorphism, Single Nucleotide, Principal Component Analysis, Sequence Analysis, DNA, Genome-Wide Association Study, High-Throughput Nucleotide Sequencing methods
Abstract: Genetic studies have shifted to sequencing-based rare variants discovery after decades of success in identifying common disease variants by Genome-Wide Association Studies using Single Nucleotide Polymorphism chips. Sequencing-based studies require large sample sizes for statistical power and therefore often inadvertently introduce batch effects because samples are typically collected, processed, and sequenced at multiple centers. Conventionally, batch effects are first detected and visualized using Principal Components Analysis and then controlled by including batch covariates in the disease association models. For sequencing-based genetic studies, because all variants included in the association analyses have passed sequencing-related quality control measures, this conventional approach treats every variant as equal and ignores the substantial differences still remaining in variant qualities and characteristics such as genotype quality scores, alternative allele fractions (fraction of reads supporting alternative allele at a variant position) and sequencing depths. In the Alzheimer's Disease Sequencing Project (ADSP) exome dataset of 9,904 cases and controls, we discovered hidden variant-level differences between sample batches of three sequencing centers and two exome capture kits. Although sequencing centers were included as a covariate in our association models, we observed differences at the variant level in genotype quality and alternative allele fraction between samples processed by different exome capture kits that significantly impacted both the confidence of variant detection and the identification of disease-associated variants. Furthermore, we found that a subset of top disease-risk variants came exclusively from samples processed by one exome capture kit that was more effective at capturing the alternative alleles compared to the other kit. Our findings highlight the importance of additional variant-level quality control for large sequencing-based genetic studies. More importantly, we demonstrate that automatically filtering out variants with batch differences may lead to false negatives if the batch discordances come largely from quality differences and if the batch-specific variants have better quality., Competing Interests: The authors have declared that no competing interests exist.
Published: 2021
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45. EMT-Associated Heterogeneity in Circulating Tumor Cells: Sticky Friends on the Road to Metastasis.

Author: Genna A, Vanwynsberghe AM, Villard AV, Pottier C, Ancel J, Polette M, and Gilles C
Abstract: Epithelial-mesenchymal transitions (EMTs) generate hybrid phenotypes with an enhanced ability to adapt to diverse microenvironments encountered during the metastatic spread. Accordingly, EMTs play a crucial role in the biology of circulating tumor cells (CTCs) and contribute to their heterogeneity. Here, we review major EMT-driven properties that may help hybrid Epithelial/Mesenchymal CTCs to survive in the bloodstream and accomplish early phases of metastatic colonization. We then discuss how interrogating EMT in CTCs as a companion biomarker could help refine cancer patient management, further supporting the relevance of CTCs in personalized medicine., Competing Interests: The authors declare no conflict of interest.
Published: 2020
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46. Tyrosine Kinase Inhibitors in Cancer: Breakthrough and Challenges of Targeted Therapy.

Author: Pottier C, Fresnais M, Gilon M, Jérusalem G, Longuespée R, and Sounni NE
Abstract: Receptor tyrosine kinases (RTKs) are key regulatory signaling proteins governing cancer cell growth and metastasis. During the last two decades, several molecules targeting RTKs were used in oncology as a first or second line therapy in different types of cancer. However, their effectiveness is limited by the appearance of resistance or adverse effects. In this review, we summarize the main features of RTKs and their inhibitors (RTKIs), their current use in oncology, and mechanisms of resistance. We also describe the technological advances of artificial intelligence, chemoproteomics, and microfluidics in elaborating powerful strategies that could be used in providing more efficient and selective small molecules inhibitors of RTKs. Finally, we discuss the interest of therapeutic combination of different RTKIs or with other molecules for personalized treatments, and the challenge for effective combination with less toxic and off-target effects.
Published: 2020
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47. Extensive transcriptomic study emphasizes importance of vesicular transport in C9orf72 expansion carriers.

Author: Dickson DW, Baker MC, Jackson JL, DeJesus-Hernandez M, Finch NA, Tian S, Heckman MG, Pottier C, Gendron TF, Murray ME, Ren Y, Reddy JS, Graff-Radford NR, Boeve BF, Petersen RC, Knopman DS, Josephs KA, Petrucelli L, Oskarsson B, Sheppard JW, Asmann YW, Rademakers R, and van Blitterswijk M
Subjects: Aged, Aged, 80 and over, Female, Frontal Lobe metabolism, Frontal Lobe pathology, Humans, Male, Middle Aged, Protein Transport physiology, C9orf72 Protein genetics, C9orf72 Protein metabolism, DNA Repeat Expansion physiology, Gene Regulatory Networks physiology, Heterozygote, Transcriptome physiology
Abstract: The majority of the clinico-pathological variability observed in patients harboring a repeat expansion in the C9orf72-SMCR8 complex subunit (C9orf72) remains unexplained. This expansion, which represents the most common genetic cause of frontotemporal lobar degeneration (FTLD) and motor neuron disease (MND), results in a loss of C9orf72 expression and the generation of RNA foci and dipeptide repeat (DPR) proteins. The C9orf72 protein itself plays a role in vesicular transport, serving as a guanine nucleotide exchange factor that regulates GTPases. To further elucidate the mechanisms underlying C9orf72-related diseases and to identify potential disease modifiers, we performed an extensive RNA sequencing study. We included individuals for whom frontal cortex tissue was available: FTLD and FTLD/MND patients with (n = 34) or without (n = 44) an expanded C9orf72 repeat as well as control subjects (n = 24). In total, 6706 genes were differentially expressed between these groups (false discovery rate [FDR] < 0.05). The top gene was C9orf72 (FDR = 1.41E-14), which was roughly two-fold lower in C9orf72 expansion carriers than in (disease) controls. Co-expression analysis revealed groups of correlated genes (modules) that were enriched for processes such as protein folding, RNA splicing, synaptic signaling, metabolism, and Golgi vesicle transport. Within our cohort of C9orf72 expansion carriers, machine learning uncovered interesting candidates associated with clinico-pathological features, including age at onset (vascular endothelial growth factor A [VEGFA]), C9orf72 expansion size (cyclin dependent kinase like 1 [CDKL1]), DPR protein levels (eukaryotic elongation factor 2 kinase [EEF2K]), and survival after onset (small G protein signaling modulator 3 [SGSM3]). Given the fact that we detected a module involved in vesicular transport in addition to a GTPase activator (SGSM3) as a potential modifier, our findings seem to suggest that the presence of a C9orf72 repeat expansion might hamper vesicular transport and that genes affecting this process may modify the phenotype of C9orf72-linked diseases.
Published: 2019
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48. The demise of Angkor: Systemic vulnerability of urban infrastructure to climatic variations.

Author: Penny D, Zachreson C, Fletcher R, Lau D, Lizier JT, Fischer N, Evans D, Pottier C, and Prokopenko M
Abstract: Complex infrastructural networks provide critical services to cities but can be vulnerable to external stresses, including climatic variability. This vulnerability has also challenged past urban settlements, but its role in cases of historic urban demise has not been precisely documented. We transform archeological data from the medieval Cambodian city of Angkor into a numerical model that allows us to quantify topological damage to critical urban infrastructure resulting from climatic variability. Our model reveals unstable behavior in which extensive and cascading damage to infrastructure occurs in response to flooding within Angkor's urban water management system. The likelihood and extent of the cascading failure abruptly grow with the magnitude of flooding relative to normal flows in the system. Our results support the hypothesis that systemic infrastructural vulnerability, coupled with abrupt climatic variation, contributed to the demise of the city. The factors behind Angkor's demise are analogous to challenges faced by modern urban communities struggling with complex critical infrastructure.
Published: 2018
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49. Identification of missing variants by combining multiple analytic pipelines.

Author: Ren Y, Reddy JS, Pottier C, Sarangi V, Tian S, Sinnwell JP, McDonnell SK, Biernacka JM, Carrasquillo MM, Ross OA, Ertekin-Taner N, Rademakers R, Hudson M, Mainzer LS, and Asmann YW
Subjects: Alzheimer Disease genetics, Base Composition genetics, Drug Discovery, Genome, Genotype, Genotyping Techniques, Humans, Sample Size, Sequence Alignment, Computational Biology methods, Genetic Variation
Abstract: Background: After decades of identifying risk factors using array-based genome-wide association studies (GWAS), genetic research of complex diseases has shifted to sequencing-based rare variants discovery. This requires large sample sizes for statistical power and has brought up questions about whether the current variant calling practices are adequate for large cohorts. It is well-known that there are discrepancies between variants called by different pipelines, and that using a single pipeline always misses true variants exclusively identifiable by other pipelines. Nonetheless, it is common practice today to call variants by one pipeline due to computational cost and assume that false negative calls are a small percent of total., Results: We analyzed 10,000 exomes from the Alzheimer's Disease Sequencing Project (ADSP) using multiple analytic pipelines consisting of different read aligners and variant calling strategies. We compared variants identified by using two aligners in 50,100, 200, 500, 1000, and 1952 samples; and compared variants identified by adding single-sample genotyping to the default multi-sample joint genotyping in 50,100, 500, 2000, 5000 and 10,000 samples. We found that using a single pipeline missed increasing numbers of high-quality variants correlated with sample sizes. By combining two read aligners and two variant calling strategies, we rescued 30% of pass-QC variants at sample size of 2000, and 56% at 10,000 samples. The rescued variants had higher proportions of low frequency (minor allele frequency [MAF] 1-5%) and rare (MAF < 1%) variants, which are the very type of variants of interest. In 660 Alzheimer's disease cases with earlier onset ages of ≤65, 4 out of 13 (31%) previously-published rare pathogenic and protective mutations in APP, PSEN1, and PSEN2 genes were undetected by the default one-pipeline approach but recovered by the multi-pipeline approach., Conclusions: Identification of the complete variant set from sequencing data is the prerequisite of genetic association analyses. The current analytic practice of calling genetic variants from sequencing data using a single bioinformatics pipeline is no longer adequate with the increasingly large projects. The number and percentage of quality variants that passed quality filters but are missed by the one-pipeline approach rapidly increased with sample size.
Published: 2018
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50. High infiltration of CD68+ macrophages is associated with poor prognoses of head and neck squamous cell carcinoma patients and is influenced by human papillomavirus.

Author: Seminerio I, Kindt N, Descamps G, Bellier J, Lechien JR, Mat Q, Pottier C, Journé F, and Saussez S
Abstract: Incidence of human papillomavirus (HPV)-related head and neck squamous cell carcinomas (HNSCCs) has increased over the last few decades. The reaction of the host immune system to these tumors remains biologically complex. Here, we investigated CD68+ macrophage numbers, reporting the prognostic value in comparison to other risk factors. We also examined CD68+ macrophage infiltration during disease progression regarding the impact of HPV infection, and we studied the role of HPV16-E6/E7 oncoproteins in CD68+ macrophage recruitment. CD68+ macrophage numbers were evaluated in 10 cases of tumor-free peri-tumoral epithelia, 43 cases of low-grade dysplasia, 45 cases of high-grade dysplasia and 110 cases of carcinoma. Our in vivo model was developed in 80 C3H/HeN mice orthotopically injected with HPV16-E6, -E7 or -E6/E7-transfected SCC-VII cell lines. High CD68+ macrophage numbers in the intra-tumoral compartment were associated with shorter patient survival (recurrence-free survival: p = 0.001; overall survival: p = 0.01). Multivariate analyses reported that CD68+ macrophage infiltration and tumor stage were strong and independent prognostic factors of HNSCC. CD68+ macrophage numbers increased during HNSCC progression both in intra-epithelial ( p < 0.001) and stromal compartments ( p < 0.001). A higher density of CD68+ macrophages was observed in advanced stages ( p = 0.004). Patients with transcriptionally active HPV infections had higher CD68+ macrophage density than did HPV-negative patients ( p = 0.003). CD68+ macrophage infiltration was higher in HPV-E7+ and -E6/E7+ mouse tumors than in -E6+ tumors ( p = 0.029 and p < 0.001). In conclusion, the extent of CD68+ macrophage infiltration is a significant prognostic factor for HNSCC patients. The recruitment of macrophages increases during disease progression and is influenced by the HPV virus., Competing Interests: CONFLICTS OF INTEREST No conflicts of interest.
Published: 2018
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