16 results on '"Aurelio Orta‐Resendiz"'
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2. COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms
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Marek Ostaszewski, Anna Niarakis, Alexander Mazein, Inna Kuperstein, Robert Phair, Aurelio Orta‐Resendiz, Vidisha Singh, Sara Sadat Aghamiri, Marcio Luis Acencio, Enrico Glaab, Andreas Ruepp, Gisela Fobo, Corinna Montrone, Barbara Brauner, Goar Frishman, Luis Cristóbal Monraz Gómez, Julia Somers, Matti Hoch, Shailendra Kumar Gupta, Julia Scheel, Hanna Borlinghaus, Tobias Czauderna, Falk Schreiber, Arnau Montagud, Miguel Ponce de Leon, Akira Funahashi, Yusuke Hiki, Noriko Hiroi, Takahiro G Yamada, Andreas Dräger, Alina Renz, Muhammad Naveez, Zsolt Bocskei, Francesco Messina, Daniela Börnigen, Liam Fergusson, Marta Conti, Marius Rameil, Vanessa Nakonecnij, Jakob Vanhoefer, Leonard Schmiester, Muying Wang, Emily E Ackerman, Jason E Shoemaker, Jeremy Zucker, Kristie Oxford, Jeremy Teuton, Ebru Kocakaya, Gökçe Yağmur Summak, Kristina Hanspers, Martina Kutmon, Susan Coort, Lars Eijssen, Friederike Ehrhart, Devasahayam Arokia Balaya Rex, Denise Slenter, Marvin Martens, Nhung Pham, Robin Haw, Bijay Jassal, Lisa Matthews, Marija Orlic‐Milacic, Andrea Senff-Ribeiro, Karen Rothfels, Veronica Shamovsky, Ralf Stephan, Cristoffer Sevilla, Thawfeek Varusai, Jean‐Marie Ravel, Rupsha Fraser, Vera Ortseifen, Silvia Marchesi, Piotr Gawron, Ewa Smula, Laurent Heirendt, Venkata Satagopam, Guanming Wu, Anders Riutta, Martin Golebiewski, Stuart Owen, Carole Goble, Xiaoming Hu, Rupert W Overall, Dieter Maier, Angela Bauch, Benjamin M Gyori, John A Bachman, Carlos Vega, Valentin Grouès, Miguel Vazquez, Pablo Porras, Luana Licata, Marta Iannuccelli, Francesca Sacco, Anastasia Nesterova, Anton Yuryev, Anita de Waard, Denes Turei, Augustin Luna, Ozgun Babur, Sylvain Soliman, Alberto Valdeolivas, Marina Esteban‐Medina, Maria Peña‐Chilet, Kinza Rian, Tomáš Helikar, Bhanwar Lal Puniya, Dezso Modos, Agatha Treveil, Marton Olbei, Bertrand De Meulder, Stephane Ballereau, Aurélien Dugourd, Aurélien Naldi, Vincent Noël, Laurence Calzone, Chris Sander, Emek Demir, Tamas Korcsmaros, Tom C Freeman, Franck Augé, Jacques S Beckmann, Jan Hasenauer, Olaf Wolkenhauer, Egon L Willighagen, Alexander R Pico, Chris T Evelo, Marc E Gillespie, Lincoln D Stein, Henning Hermjakob, Peter D'Eustachio, Julio Saez‐Rodriguez, Joaquin Dopazo, Alfonso Valencia, Hiroaki Kitano, Emmanuel Barillot, Charles Auffray, Rudi Balling, Reinhard Schneider, and the COVID‐19 Disease Map Community
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computable knowledge repository ,large‐scale biocuration ,omics data analysis ,open access community effort ,systems biomedicine ,Biology (General) ,QH301-705.5 ,Medicine (General) ,R5-920 - Abstract
Abstract We need to effectively combine the knowledge from surging literature with complex datasets to propose mechanistic models of SARS‐CoV‐2 infection, improving data interpretation and predicting key targets of intervention. Here, we describe a large‐scale community effort to build an open access, interoperable and computable repository of COVID‐19 molecular mechanisms. The COVID‐19 Disease Map (C19DMap) is a graphical, interactive representation of disease‐relevant molecular mechanisms linking many knowledge sources. Notably, it is a computational resource for graph‐based analyses and disease modelling. To this end, we established a framework of tools, platforms and guidelines necessary for a multifaceted community of biocurators, domain experts, bioinformaticians and computational biologists. The diagrams of the C19DMap, curated from the literature, are integrated with relevant interaction and text mining databases. We demonstrate the application of network analysis and modelling approaches by concrete examples to highlight new testable hypotheses. This framework helps to find signatures of SARS‐CoV‐2 predisposition, treatment response or prioritisation of drug candidates. Such an approach may help deal with new waves of COVID‐19 or similar pandemics in the long‐term perspective.
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- 2021
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3. Persistent high levels of immune activation and correlations with HIV-1 proviral DNA and 2-LTR circle loads in a cohort of Mexican individuals following long-term and fully suppressive treatment
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Aurelio Orta-Resendiz, Monica Viveros-Rogel, Luis L. Fuentes-Romero, Moises Vergara-Mendoza, Damaris P. Romero-Rodriguez, Monica Muñoz-Lopez, Martha L. Zancatl-Diaz, Elsa Y. Vidal-Laurencio, Roberto A. Rodriguez-Diaz, and Luis E. Soto-Ramirez
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Immune activation ,Reservoir ,Proviral DNA ,2-LTR circles ,IL-7 ,Chronic ART ,Infectious and parasitic diseases ,RC109-216 - Abstract
Objectives: This study investigated the correlations between the human immunodeficiency virus type 1 (HIV-1) reservoir and immune activation levels in chronic patients under fully suppressive antiretroviral therapy (ART). Methods: We quantified the HIV-1 proviral DNA and 2-long terminal repeat (2-LTR) circle loads from peripheral blood mononuclear cells, the levels of CD38+ and Ki-67+ T-cells, and the levels of interleukin 7 (IL-7) in a cohort of patients with more than 5 years of ART at enrollment and after 1 year. Results: Among 29 participants with a median of 8 years (inter-quartile range, 6.9–9.4) under suppressive ART, we found higher levels of CD8+ CD38+ T-cells after 1 year (P = .000). We determined weak and statistically non-significant correlations between the levels of immune activation and the proviral DNA loads in CD4+ and CD8+ T-cells. Ki-67+ T-cells declined but not significantly and there was no significant correlation with the proportion of CD38+. Plasmatic IL-7 did not consistently correlated with the CD38+ and Ki-67+ T-cells. Conclusions: We found weak but statistically non-significant correlations between the levels of T-cell activation and the proviral DNA and 2-LTR circle loads. These results suggest that mechanisms other than viral replication drive chronic versus early immune activation in the long term.
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- 2020
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4. HIV-1 acquired drug resistance to integrase inhibitors in a cohort of antiretroviral therapy multi-experienced Mexican patients failing to raltegravir: a cross-sectional study
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Aurelio Orta-Resendiz, Roberto A. Rodriguez-Diaz, Luis A. Angulo-Medina, Mario Hernandez-Flores, and Luis E. Soto-Ramirez
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Drug resistance ,Raltegravir ,Integrase inhibitors ,Cross-resistance ,Multi-experienced ,Sequencing ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Abstract Background In resource-limited settings, multi-experienced HIV infected patients are often prescribed raltegravir for salvage therapy. Patients failing raltegravir-containing regimens require other drugs including other integrase inhibitors. In this context, real-life data about the resistance and cross-resistance pathways between integrase inhibitors is limited. The aim of this study was to investigate integrase resistance pathways in a cohort of Mexican multi-experienced patients failing of a raltegravir-containing salvage regimen. Methods Twenty-five plasma samples from subjects failing antiretroviral regimens which included raltegravir were obtained from various healthcare centres from 2009 to 2017 in Mexico. Antiretroviral history and demographics were collected. Samples were processed for integrase resistance genotyping testing by sequencing. The viral sequences were analysed with the Stanford HIV drug resistance database algorithm. Data was analysed with SPSS Statistics software. Results We found a mean viral load of 4.17 log10 c/mL (SD 1.11) at the time of virologic failure. Forty-eight percent of the samples were raltegravir resistant. The Y143R/H/C substitutions were the most prevalent, followed by the N155H, and both Q148H/K and G140S/A in the same proportion. The Q148 + G140 combination was found in (12%) of the samples. Cross-resistance to elvitegravir was found in 83.3% and in 18.2% for both dolutegravir and bictegravir. Thirteen samples (52%) were susceptible to the four integrase strand-transfer inhibitors. Conclusions Our findings suggest a high occurrence of resistance and cross-resistance to other integrase inhibitors among multi-experienced subjects failing raltegravir. We found a modestly lower proportion of cross-resistance to dolutegravir than data from clinical trials. Likely this drug could be used for salvage therapy. Explanations for the absence of mutations in half of the samples, other than reduced adherence, should be further investigated. Close surveillance is needed.
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- 2020
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5. Erratum To: COVID‐19 Disease Map, a computational knowledge repository of virus‐host interaction mechanisms
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Marek Ostaszewski, Anna Niarakis, Alexander Mazein, Inna Kuperstein, Robert Phair, Aurelio Orta‐Resendiz, Vidisha Singh, Sara Sadat Aghamiri, Marcio Luis Acencio, Enrico Glaab, Andreas Ruepp, Gisela Fobo, Corinna Montrone, Barbara Brauner, Goar Frishman, Luis Cristóbal Monraz Gómez, Julia Somers, Matti Hoch, Shailendra Kumar Gupta, Julia Scheel, Hanna Borlinghaus, Tobias Czauderna, Falk Schreiber, Arnau Montagud, Miguel Ponce de Leon, Akira Funahashi, Yusuke Hiki, Noriko Hiroi, Takahiro G Yamada, Andreas Dräger, Alina Renz, Muhammad Naveez, Zsolt Bocskei, Francesco Messina, Daniela Börnigen, Liam Fergusson, Marta Conti, Marius Rameil, Vanessa Nakonecnij, Jakob Vanhoefer, Leonard Schmiester, Muying Wang, Emily E Ackerman, Jason E Shoemaker, Jeremy Zucker, Kristie Oxford, Jeremy Teuton, Ebru Kocakaya, Gökçe Yağmur Summak, Kristina Hanspers, Martina Kutmon, Susan Coort, Lars Eijssen, Friederike Ehrhart, D A B Rex, Denise Slenter, Marvin Martens, Nhung Pham, Robin Haw, Bijay Jassal, Lisa Matthews, Marija Orlic‐Milacic, Andrea Senff‐Ribeiro, Karen Rothfels, Veronica Shamovsky, Ralf Stephan, Cristoffer Sevilla, Thawfeek Varusai, Jean‐Marie Ravel, Rupsha Fraser, Vera Ortseifen, Silvia Marchesi, Piotr Gawron, Ewa Smula, Laurent Heirendt, Venkata Satagopam, Guanming Wu, Anders Riutta, Martin Golebiewski, Stuart Owen, Carole Goble, Xiaoming Hu, Rupert W Overall, Dieter Maier, Angela Bauch, Benjamin M Gyori, John A Bachman, Carlos Vega, Valentin Grouès, Miguel Vazquez, Pablo Porras, Luana Licata, Marta Iannuccelli, Francesca Sacco, Anastasia Nesterova, Anton Yuryev, Anita de Waard, Denes Turei, Augustin Luna, Ozgun Babur, Sylvain Soliman, Alberto Valdeolivas, Marina Esteban‐Medina, Maria Peña‐Chilet, Kinza Rian, Tomáš Helikar, Bhanwar Lal Puniya, Dezso Modos, Agatha Treveil, Marton Olbei, Bertrand De Meulder, Stephane Ballereau, Aurélien Dugourd, Aurélien Naldi, Vincent Noël, Laurence Calzone, Chris Sander, Emek Demir, Tamas Korcsmaros, Tom C Freeman, Franck Augé, Jacques S Beckmann, Jan Hasenauer, Olaf Wolkenhauer, Egon L Willighagen, Alexander R Pico, Chris T Evelo, Marc E Gillespie, Lincoln D Stein, Henning Hermjakob, Peter D'Eustachio, Julio Saez‐Rodriguez, Joaquin Dopazo, Alfonso Valencia, Hiroaki Kitano, Emmanuel Barillot, Charles Auffray, Rudi Balling, Reinhard Schneider, and the COVID‐19 Disease Map Community
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Biology (General) ,QH301-705.5 ,Medicine (General) ,R5-920 - Abstract
Graphical Abstract
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- 2021
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6. Upper respiratory tract mucosal immunity for SARS-CoV-2 vaccines
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Rupsha Fraser, Aurelio Orta-Resendiz, Alexander Mazein, and David H. Dockrell
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vaccine breakthrough infections ,upper respiratory tract mucosal immunity ,interferon-1 ,Molecular Medicine ,waning immunity ,Molecular Biology ,SARS-CoV-2 vaccines - Abstract
SARS-CoV-2 vaccination significantly reduces morbidity and mortality, but has less impact on viral transmission rates, thus aiding viral evolution, and the longevity of vaccine-induced immunity rapidly declines. Immune responses in respiratory tract mucosal tissues are crucial for early control of infection, and can generate long-term antigen-specific protection with prompt recall responses. However, currently approved SARS-CoV-2 vaccines are not amenable to adequate respiratory mucosal delivery, particularly in the upper airways, which could account for the high vaccine breakthrough infection rates and limited duration of vaccine-mediated protection. In view of these drawbacks, we outline a strategy that has the potential to enhance both the efficacy and durability of existing SARS-CoV-2 vaccines, by inducing robust memory responses in the upper respiratory tract (URT) mucosa.
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- 2023
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7. Severe COVID-19 versus multisystem inflammatory syndrome:comparing two critical outcomes of SARS-CoV-2 infection
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Rupsha Fraser, Aurelio Orta-Resendiz, David Dockrell, Michaela Müller-Trutwin, and Alexander Mazein
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Pulmonary and Respiratory Medicine ,SARS-CoV-2 ,Risk Factors ,Humans ,COVID-19 ,Severity of Illness Index - Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is associated with diverse host response immunodynamics and variable inflammatory manifestations. Several immune-modulating risk factors can contribute to a more severe coronavirus disease 2019 (COVID-19) course with increased morbidity and mortality. The comparatively rare post-infectious multisystem inflammatory syndrome (MIS) can develop in formerly healthy individuals, with accelerated progression to life-threatening illness. A common trajectory of immune dysregulation forms a continuum of the COVID-19 spectrum and MIS; however, severity of COVID-19 or the development of MIS is dependent on distinct aetiological factors that produce variable host inflammatory responses to infection with different spatiotemporal manifestations, a comprehensive understanding of which is necessary to set better targeted therapeutic and preventative strategies for both.
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- 2023
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8. Research priorities for an HIV cure: International AIDS Society Global Scientific Strategy 2021
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Monique Nijhuis, Steven G. Deeks, Richard Dunham, Marein A. W. P. de Jong, Marein de Jong, Thanyawee Puthanakit, Mirko Paiardini, Santiago Perez Patrigeon, Krista L. Dong, Jan van Lunzen, Luke Jasenosky, Jessica Salzwedel, Simon Collins, Katharine J. Bar, Frank Mardarelli, Jeffrey T. Safrit, Jeremy Sugarman, Alex Schneider, Nancie M. Archin, Zaza M. Ndhlovu, Joel N. Blankson, Zabrina L. Brumme, Hans-Peter Kiem, Gaerolwe Masheto, Beatriz Mothe, Karine Dubé, Katherine Luzuriaga, Jennifer Power, Sarah Fidler, Richard Jefferys, Fu Sheng Wang, Jeff Taylor, Kumitaa Theva Das, Boro Dropulic, Kai Deng, Devi SenGupta, Sharon Lewin, Marina Caskey, Susana T. Valente, Siegfried Schwarze, Nicolas Chomont, R. Brad Jones, Ole S. Søgaard, Paula M. Cannon, Olivier Lambotte, Edward Nelson Kankaka, Gabriela Turk, Christina Antoniadi, Udom Likhitwonnawut, Caroline T. Tiemessen, Pablo Tebas, Rosanne Lamplough, Cissy Kityo, Fernanda Heloise Côrtes, Melannie Ott, Rose Nabatanzi, Oguzhan Latif Nuh, Mitch Matoga, Linos Vandekerckhove, J. Victor Garcia, Thumbi Ndung'u, Bonnie J. Howell, Aurelio Orta-Resendiz, Ricardo Sobhie Diaz, Michael Louella, Ann Chahroudi, Deborah Persaud, Stephan Dressler, Josephine Nabukenya, and Sharon R Lewin
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medicine.medical_specialty ,Host genome ,business.industry ,Research areas ,Human immunodeficiency virus (HIV) ,General Medicine ,medicine.disease_cause ,medicine.disease ,Priority areas ,Antiretroviral therapy ,General Biochemistry, Genetics and Molecular Biology ,Clinical trial ,Acquired immunodeficiency syndrome (AIDS) ,Infected cell ,Medicine ,business ,Intensive care medicine - Abstract
Despite the success of antiretroviral therapy (ART) for people living with HIV, lifelong treatment is required and there is no cure. HIV can integrate in the host genome and persist for the life span of the infected cell. These latently infected cells are not recognized as foreign because they are largely transcriptionally silent, but contain replication-competent virus that drives resurgence of the infection once ART is stopped. With a combination of immune activators, neutralizing antibodies, and therapeutic vaccines, some nonhuman primate models have been cured, providing optimism for these approaches now being evaluated in human clinical trials. In vivo delivery of gene-editing tools to either target the virus, boost immunity or protect cells from infection, also holds promise for future HIV cure strategies. In this Review, we discuss advances related to HIV cure in the last 5 years, highlight remaining knowledge gaps and identify priority areas for research for the next 5 years. An effective and scalable cure strategy is a top priority for the HIV research field; this Review discusses recent advances, knowledge gaps, and priority research areas for the next 5 years.
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- 2021
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9. Interests of the Non-Human Primate Models for HIV Cure Research
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Nicolas Huot, Beatrice Jacquelin, Gauthier Terrade, Michaela Müller-Trutwin, Marie Lazzerini, Caroline Petitdemange, Aurelio Orta Resendiz, HIV, Inflammation et persistance, Institut Pasteur [Paris], École Doctorale Bio Sorbonne Paris Cité [Paris] (ED BioSPC), Université Sorbonne Paris Cité (USPC)-Université de Paris (UP), G.T. was partially supported by Institut Pasteur and by a NIH grant (R01AI143457). N.H. was supported by the Fondation J. Beytout, the Institut Pasteur and a NIH grant (R01AI143457). C.P. was supported by a Roux-Cantarini fellowship and Institut Pasteur. A.O.R. was supported by a doctoral fellowship from the University of Paris., HIV, Inflammation et persistance - HIV, Inflammation and Persistence, Institut Pasteur [Paris] (IP)-Université Paris Cité (UPCité), École Doctorale Bio Sorbonne Paris Cité [Paris] (ED562 - BioSPC), and Université Sorbonne Paris Cité (USPC)-Université Paris Cité (UPCité)
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viruses ,[SDV]Life Sciences [q-bio] ,Immunology ,Human immunodeficiency virus (HIV) ,therapies ,non-human primate ,Review ,medicine.disease_cause ,Recombinant virus ,Macaque ,03 medical and health sciences ,0302 clinical medicine ,Animal model ,biology.animal ,Drug Discovery ,medicine ,natural host ,Pharmacology (medical) ,030304 developmental biology ,Pharmacology ,0303 health sciences ,Non human primate ,biology ,animal model ,virus diseases ,HIV ,Simian immunodeficiency virus ,Virology ,immunity ,cure ,3. Good health ,Infectious Diseases ,SIV ,Medicine ,Hiv envelope ,030215 immunology - Abstract
International audience; Non-human primate (NHP) models are important for vaccine development and also contribute to HIV cure research. Although none of the animal models are perfect, NHPs enable the exploration of important questions about tissue viral reservoirs and the development of intervention strategies. In this review, we describe recent advances in the use of these models for HIV cure research and highlight the progress that has been made as well as limitations using these models. The main NHP models used are (i) the macaque, in which simian immunodeficiency virus (SIVmac) infection displays similar replication profiles as to HIV in humans, and (ii) the macaque infected by a recombinant virus (SHIV) consisting of SIVmac expressing the HIV envelope gene serving for studies analyzing the impact of anti-HIV Env broadly neutralizing antibodies. Lessons for HIV cure that can be learned from studying the natural host of SIV are also presented here. An overview of the most promising and less well explored HIV cure strategies tested in NHP models will be given.
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- 2021
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10. COVID-19 Disease Map, a computational knowledge repository of SARS-CoV-2 virus-host interaction mechanisms
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Dezso Modos, Julia Scheel, Ralf Stephan, Piotr Gawron, Kristina Hanspers, Jean-Marie Ravel, Alexander Mazein, Corinna Montrone, Alberto Valdeolivas, Marek Ostaszewski, Susan L. Coort, Hiroaki Kitano, Tom C. Freeman, Vera Ortseifen, Vanessa Nakonecnij, M Orlic-Milacic, Jan Hasenauer, Veronica Shamovsky, Venkata P. Satagopam, Goar Frishman, M. Vazquez, D A B Rex, Miguel Ponce de Leon, Sylvain Soliman, Luana Licata, Ebru Kocakaya, Kinza Rian, Yusuke Hiki, Marton Olbei, Martina Kutmon, Bijay Jassal, Akira Funahashi, Lisa Matthews, Xiaoming Hu, Marcio Luis Acencio, Zsolt Bocskei, Robin Haw, Joaquín Dopazo, Agatha Treveil, Andrea Senff-Ribeiro, Tomáš Helikar, Chris T. Evelo, John A. Bachman, Julio Saez-Rodriguez, Takahiro G. Yamada, Emmanuel Barillot, Anton Yuryev, Bertrand De Meulder, Matti Hoch, Guanming Wu, Daniela Börnigen, Rudi Balling, Karen Rothfels, Pablo Porras, Hanna Borlinghaus, Andreas Dräger, Aurélien Naldi, Marta Iannuccelli, Leonard Schmiester, Dieter Maier, Jason E. Shoemaker, Valentin Grouès, Jakob Vanhoefer, Marius Rameil, Sara Sadat Aghamiri, Tobias Czauderna, Inna Kuperstein, Nhung Pham, Reinhard Schneider, Marina Esteban-Medina, Carole Goble, Benjamin M. Gyori, Emily E. Ackerman, Anita de Waard, Bhanwar Lal Puniya, Olaf Wolkenhauer, Alfonso Valencia, Julia Somers, Ewa Smula, Gisela Fobo, Robert Phair, Chris Sander, Laurent Heirendt, Carlos Vega, Jeremy Teuton, Emek Demir, Alina Renz, Tamas Korcsmaros, Vidisha Singh, Anastasia P. Nesterova, Andreas Ruepp, Lars M. T. Eijssen, Thawfeek M. Varusai, Aurelien Dugourd, Silvia Marchesi, Cristoffer Sevilla, Falk Schreiber, Barbara Brauner, Noriko Hiroi, Augustin Luna, Muying Wang, Shailendra K. Gupta, Egon Willighagen, Charles Auffray, Denise Slenter, Kristie L. Oxford, Franck Augé, Friederike Ehrhart, Muhammad Naveez, Stuart Owen, Arnau Montagud, Liam Fergusson, Enrico Glaab, Martin Golebiewski, Laurence Calzone, Alexander R. Pico, Dénes Türei, Marvin Martens, Henning Hermjakob, Rupert W. Overall, Jeremy Zucker, Özgün Babur, Gokce Yagmur Summak, Lincoln Stein, Anders Riutta, Anna Niarakis, Aurelio Orta-Resendiz, Francesca Sacco, Maria Peña-Chilet, Marta Conti, Jacques S. Beckmann, Angela Bauch, and University of Luxembourg [Luxembourg]
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0303 health sciences ,Coronavirus disease 2019 (COVID-19) ,Computer science ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Interoperability ,Disease ,Data science ,[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] ,Domain (software engineering) ,03 medical and health sciences ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Relevance (information retrieval) ,030304 developmental biology - Abstract
We describe a large-scale community effort to build an open-access, interoperable, and computable repository of COVID-19 molecular mechanisms - the COVID-19 Disease Map. We discuss the tools, platforms, and guidelines necessary for the distributed development of its contents by a multi-faceted community of biocurators, domain experts, bioinformaticians, and computational biologists. We highlight the role of relevant databases and text mining approaches in the enrichment and validation of the curated mechanisms. We describe the contents of the Map and their relevance to the molecular pathophysiology of COVID-19 and the analytical and computational modelling approaches that can be applied for mechanistic data interpretation and predictions. We conclude by demonstrating concrete applications of our work through several use cases and highlight new testable hypotheses.; We describe a large-scale community effort to build an open-access, interoperable, and computable repository of COVID-19 molecular mechanisms - the COVID-19 Disease Map. We discuss the tools, platforms, and guidelines necessary for the distributed development of its contents by a multi-faceted community of biocurators, domain experts, bioinformaticians, and computational biologists. We highlight the role of relevant databases and text mining approaches in the enrichment and validation of the curated mechanisms. We describe the contents of the Map and their relevance to the molecular pathophysiology of COVID-19 and the analytical and computational modelling approaches that can be applied for mechanistic data interpretation and predictions. We conclude by demonstrating concrete applications of our work through several use cases and highlight new testable hypotheses.
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- 2021
11. Connecting the COVID-19 dots: susceptibility factors and their immunodynamics in SARS-CoV-2 infection and disease severity
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Rupsha Fraser, Aurelio Orta-Resendiz, and Alexander Mazein
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The human severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing the COVID-19 (coronavirus disease 2019) pandemic, has a vast heterogeneity of host responses, with resulting symptoms ranging from an asymptomatic phenotype, to a mild−moderate disease course, to a severe or critical disease status with significant hypoxia accompanied by acute respiratory distress syndrome, extensive pulmonary damage, and circulatory and multiorgan failure. SARS-CoV-2 infection is associated with several susceptibility factors that can contribute to a more severe clinical disease course with increased morbidity and mortality.These include age-related susceptibility (most prominent in the elderly and in infants), underlying chronic diseases and/or a compromised immune system, male sex, pregnancy and the postpartum period, specific ABO blood groups, several respiratory conditions, as well as high occupational viral exposure. However, a severe and novel disorder, termed multisystem inflammatory syndrome in children (MIS-C) and adults (MIS-A), can develop following SARS-CoV-2 infection in previously healthy individuals, which can rapidly progress to critical illness with hyperinflammatory processes leading to multiorgan damage. Furthermore, genetic factors may also influence susceptibility to SARS-CoV-2 infection and COVID-19 severity, the identification of which could prove useful as biomarkers to identify individuals at greater risk of severe disease or MIS-C/MIS-A development. Here, we aim to define (a) the immunodynamics of the range of host immune responses to SARS-CoV-2 infection, (b) how the various susceptibility factors mechanistically influence these immunodynamics, with converging mechanisms between the susceptible demographic groups contributing to a severe disease phenotype or MIS-C/MIS-A, and (c) and how these immunodynamics could inform the development of long-term immunotherapeutic strategies., Additional PDF notes available, as not all details included within the video presentation.
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- 2020
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12. Author Correction: COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms
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Chris T. Evelo, Rudi Balling, Joaquín Dopazo, Olaf Wolkenhauer, Emek Demir, Alexander R. Pico, Emmanuel Barillot, Alexander Mazein, Francesco Messina, Egon Willighagen, Falk Schreiber, Inna Kuperstein, Charles Auffray, Henning Hermjakob, Alfonso Valencia, Hiroaki Kitano, Reinhard Schneider, Marek Ostaszewski, Marc Gillespie, Laura I. Furlong, Anna Niarakis, Aurelio Orta-Resendiz, Akira Funahashi, Andreas Dräger, Jan Hasenauer, Luxembourg Centre For Systems Biomedicine (LCSB), University of Luxembourg [Luxembourg], European Institute for Systems Biology and Medicine (EISBM), Ontario Institute for Cancer Research [Canada] (OICR), Ontario Institute for Cancer Research, Laboratoire de recherche européen pour la polyarthrite rhumatoïde (GenHotel), and Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay
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Statistics and Probability ,Cellular signalling networks ,2019-20 coronavirus outbreak ,Databases, Factual ,010504 meteorology & atmospheric sciences ,Coronavirus disease 2019 (COVID-19) ,International Cooperation ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Pneumonia, Viral ,education ,Disease ,Biology ,Library and Information Sciences ,Virus-host interaction ,Models, Biological ,01 natural sciences ,Gene regulatory networks ,Education ,Betacoronavirus ,03 medical and health sciences ,Biochemical reaction networks ,Humans ,Computational models ,lcsh:Science ,Author Correction ,Pandemics ,030304 developmental biology ,0105 earth and related environmental sciences ,0303 health sciences ,Host Microbial Interactions ,SARS-CoV-2 ,Comment ,COVID-19 ,Computational Biology ,Virology ,[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] ,Computer Science Applications ,[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics ,Host-Pathogen Interactions ,lcsh:Q ,Statistics, Probability and Uncertainty ,Coronavirus Infections ,Information Systems - Abstract
International audience; Following publication, it was found that one of Alexander Mazein's affiliations was missing and the affiliation, Barcelona Supercomputing Center (BSC) was incorrectly spelled. It was also found that a part of the Acknowledgements section and a part of the Competing Interests section were missing. Both the HTML and PDF versions have been updated to reflect these changes.
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- 2020
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13. COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms
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Reinhard Schneider, Jan Hasenauer, Egon Willighagen, Francesco Messina, Hiroaki Kitano, Charles Auffray, Marc Gillespie, Joaquín Dopazo, Emmanuel Barillot, Andreas Dräger, Akira Funahashi, Alexander R. Pico, Anna Niarakis, Aurelio Orta-Resendiz, Alfonso Valencia, Henning Hermjakob, Falk Schreiber, Chris T. Evelo, Rudi Balling, Laura I. Furlong, Inna Kuperstein, Olaf Wolkenhauer, Emek Demir, Alexander Mazein, Marek Ostaszewski, Bioinformatica, RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, RS: FHML MaCSBio, [Ostaszewski,M, Mazein,A, Balling,R, Schneider,R] Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg. [Gillespie,ME] Ontario Institute for Cancer Research, Toronto, Canada. [Gillespie,ME] College of Pharmacy and Health Sciences, St. John's University, Queens, NY, USA. [Kuperstein,I, Barillot,E] Institut Curie, PSL Research University, Mines Paris Tech, Inserm, Paris, France. [Niarakis,A] Department of Biology, Univ. Évry, University of Paris-Saclay, Genopole, 91025, Évry, France. [Hermjakob,H] European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK. [Pico,AR] Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, United States. [Willighagen,EL, and Evelo,CT] Department of Bioinformatics-BiGCaT, NUTRIM, Maastricht University, Maastricht, The Netherlands. [Evelo,CT] Maastricht Centre for Systems Biology, Maastricht University, Maastricht, The Netherlands. [Hasenauer,J] Helmholtz Zentrum München, Institute of Computational Biology, Neuherberg, Germany. [Hasenauer,J] Center for Mathematics, Technische Universität München, Garching, Germany. [Hasenauer,J] Faculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany. [Schreiber,F] University of Konstanz, Department of Computer and Information Science, Konstanz, Germany. [Schreiber,F] Monash University, Faculty of Information Technology, Melbourne, Australia. [Dräger,A] Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen, 72076, Tübingen, Germany. [Dräger,A] Department of Computer Science, University of Tübingen, 72076, Tübingen, Germany. [Dräger,A] German Center for Infection Research (DZIF), partner site, Tübingen, Germany. [Demir,E] Department of Molecular and Medical Genetics, School of Medicine, Oregon Health & Science University, Portland, USA. [Wolkenhauer,O] Department of Systems Biology & Bioinformatics, University of Rostock, Rostock, Germany. [Wolkenhauer,O] Stellenbosch Institute of Advanced Study (STIAS), Wallenberg Research Centre at Stellenbosch University, 7602, Stellenbosch, South Africa. [Furlong,LI] Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute, Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain. [Dopazo,J] Clinical Bioinformatics Area, Fundación Progreso y Salud. Hosp. Virgen del Rocío, Sevilla, Spain. [Dopazo,J] Bioinformatics in Rare Diseases. Centro de Investigación Biomédica en Red de Enfermedades Raras, Fundación Progreso y Salud, Hosp. Virgen del Rocío, Sevilla, Spain. [Dopazo,J] INB-ELIXIR-es, FPS, Hospital Virgen del Rocío, Sevilla, 42013, Spain. [Dopazo,J] Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocio, 41013, Sevilla, Spain. [Orta-Resendiz,A] HIV, Inflammation and Persistence Unit, Virology Department, Institut Pasteur, Paris, France. [Orta-Resendiz,A] Bio Sorbonne Paris Cité, Université de Paris, Paris, France. [Messina,F] Dipartimento di Epidemiologia Ricerca Pre-Clinica e Diagnostica Avanzata, National Institute for Infectious Diseases 'Lazzaro Spallanzani' I.R.C.C.S., Rome, Italy. [Messina,F] COVID 19 INMI Network Medicine for IDs Study Group, National Institute for Infectious Diseases 'Lazzaro Spallanzani' I.R.C.C.S., Rome, Italy. [Valencia,A] Barcelona Supercomputer Center (BSC), Barcelona, Spain. [Valencia,A] Institucio Catalana de Recerca I Estudis Avançats (ICREA), Barcelona, Spain. [Funahashi,A] Department of Biosciences and Informatics, Keio University, Yokohama, Kanagawa, Japan. [Kitano,H] The Systems Biology Institute, Shinagawa, Tokyo, Japan. [Kitano,H] Okinawa Institute of Science and Technology Graduate University, Kunigami, Okinawa, Japan. [Kitano,H] Sony Computer Science Laboratories, Inc., Tokyo, Japan. [Auffray,C] European Institute for Systems Biology and Medicine (EISBM), Vourles, France.
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Databases, Factual ,010504 meteorology & atmospheric sciences ,Computer science ,International Cooperation ,Disease ,01 natural sciences ,Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings] ,Multidisciplinaire, généralités & autres [C99] [Ingénierie, informatique & technologie] ,Pandemic ,Modelos biológicos ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Models, Theoretical::Models, Biological [Medical Subject Headings] ,Molècules ,lcsh:Science ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) ,0303 health sciences ,Multidisciplinary, general & others [C99] [Engineering, computing & technology] ,Humanos ,Computer Science Applications ,Pademia ,Disciplines and Occupations::Natural Science Disciplines::Biological Science Disciplines::Biology::Computational Biology [Medical Subject Headings] ,Host-Pathogen Interactions ,Biología computacional ,Bases de datos factuales ,Statistics, Probability and Uncertainty ,Diseases::Respiratory Tract Diseases::Respiratory Tract Infections::Pneumonia::Pneumonia, Viral [Medical Subject Headings] ,Coronavirus Infections ,Information Systems ,Statistics and Probability ,2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,Phenomena and Processes::Microbiological Phenomena::Microbiological Processes::Host-Pathogen Interactions [Medical Subject Headings] ,Infecciones por coronavirus ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Pneumonia, Viral ,Computational biology ,Library and Information Sciences ,Virus-host interaction ,Models, Biological ,Education ,Betacoronavirus ,03 medical and health sciences ,Cooperación internacional ,Information Science::Information Science::Medical Informatics::Medical Informatics Applications::Information Systems::Databases as Topic::Databases, Factual [Medical Subject Headings] ,Humans ,Interacciones huésped-patógeno ,Anthropology, Education, Sociology and Social Phenomena::Social Sciences::Internationality::International Cooperation [Medical Subject Headings] ,Pandemics ,Viral immunology ,030304 developmental biology ,0105 earth and related environmental sciences ,Host Microbial Interactions ,SARS-CoV-2 ,Health Care::Environment and Public Health::Public Health::Disease Outbreaks::Epidemics::Pandemics [Medical Subject Headings] ,Computational Biology ,COVID-19 ,Diseases::Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections [Medical Subject Headings] ,Coronavirus ,Neumonía viral ,lcsh:Q ,ddc:004 ,COVID-19 -- Malaltia - Abstract
Researchers around the world join forces to reconstruct the molecular processes of the virus-host interactions aiming to combat the cause of the ongoing pandemic.
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- 2020
14. Persistent high levels of immune activation and their correlation with the HIV-1 proviral DNA and 2-LTR circles loads, in a cohort of Mexican individuals following long-term and fully suppressive treatment
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Roberto Rodriguez-Diaz, Monica Muñoz-Lopez, Martha L. Zancatl-Diaz, Luis L. Fuentes-Romero, Elsa Y. Vidal-Laurencio, Aurelio Orta-Resendiz, Damaris P. Romero-Rodriguez, Moisés Vergara-Mendoza, Mónica Viveros-Rogel, and Luis E. Soto-Ramirez
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0301 basic medicine ,Microbiology (medical) ,Cart ,Adult ,Male ,2-LTR circles ,Anti-HIV Agents ,030106 microbiology ,Proviral DNA ,HIV Infections ,CD38 ,Lymphocyte Activation ,Virus Replication ,Peripheral blood mononuclear cell ,lcsh:Infectious and parasitic diseases ,Correlation ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Antiretroviral Therapy, Highly Active ,Medicine ,Humans ,lcsh:RC109-216 ,030212 general & internal medicine ,Prospective Studies ,Reservoir ,Chronic ART ,Immune activation ,IL-7 ,business.industry ,Interleukin-7 ,Terminal Repeat Sequences ,General Medicine ,Middle Aged ,Viral Load ,Infectious Diseases ,Viral replication ,Cohort ,Immunology ,DNA, Viral ,HIV-1 ,Female ,business ,CD8 - Abstract
Background The main cause of the persistently high levels of immune activation in HIV positive patients undergoing suppressive chronic cART is still unknown. Previous findings have suggested a link between ongoing residual viral replication originating from the HIV reservoir and the immune activation levels. However, there is no clear evidence of this assumption. The aim of this study was to investigate the correlation between the reservoir and the levels of immune activation in chronic patients under fully suppressive cART. Methods We conducted a prospective longitudinal study in a cohort of HIV positive patients undergoing cART for more than 5 years without any documented blips. We quantified the HIV proviral DNA and the 2-LTR circles loads from PBMCs, the levels of immune activation and proliferation markers of T-cells (CD38+, Ki-67+), and the levels of plasmatic IL-7 at enrollment and 1-year of follow-up. Correlation analysis and group comparison were performed. Results 29 participants with a median of 8 years (IQR, 6.9-9.4) under suppressive cART were enrolled and successfully followed at 1 year. In this cohort, we found higher levels of CD8+ T-cell activation (CD38+) after 1-year (P = .000). There was a very weak correlation between the levels of immune activation and the proviral DNA of CD4+ T-cell and CD8+ T-cell. The levels of Ki-67+ T-cells declined on time without significant differences, and there was no significant correlation with the proportion of activated T-cells. The plasmatic levels of IL-7 decreased at the follow-up observation (P = .094), but there was no correlation with the levels of immune activation either. Conclusions We found a weak correlation of the levels of CD4+ and CD8+ T-cell activation with the proviral DNA and 2-LTR circles. This suggests the likely occurrence of further mechanisms driving chronic versus early immune activation other than viral replication by itself in subjects under chronic suppressive cART. More importantly, we highlight the relevance of decreasing T-cell activation in chronic patients to lower the risk of morbidity and early mortality by investigating other activation pathways in specifically chronic phases.
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- 2020
15. COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms
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Marek, Ostaszewski, Anna, Niarakis, Alexander, Mazein, Inna, Kuperstein, Robert, Phair, Aurelio, Orta‐Resendiz, Vidisha, Singh, Sara Sadat, Aghamiri, Marcio Luis, Acencio, Enrico, Glaab, Andreas, Ruepp, Gisela, Fobo, Corinna, Montrone, Barbara, Brauner, Goar, Frishman, Luis Cristóbal, Monraz Gómez, Julia, Somers, Matti, Hoch, Shailendra, Kumar Gupta, Julia, Scheel, Hanna, Borlinghaus, Tobias, Czauderna, Falk, Schreiber, Arnau, Montagud, Miguel, Ponce de Leon, Akira, Funahashi, Yusuke, Hiki, Noriko, Hiroi, Takahiro G, Yamada, Andreas, Dräger, Alina, Renz, Muhammad, Naveez, Zsolt, Bocskei, Francesco, Messina, Daniela, Börnigen, Liam, Fergusson, Marta, Conti, Marius, Rameil, Vanessa, Nakonecnij, Jakob, Vanhoefer, Leonard, Schmiester, Muying, Wang, Emily E, Ackerman, Jason E, Shoemaker, Jeremy, Zucker, Kristie, Oxford, Jeremy, Teuton, Ebru, Kocakaya, Gökçe Yağmur, Summak, Kristina, Hanspers, Martina, Kutmon, Susan, Coort, Lars, Eijssen, Friederike, Ehrhart, Devasahayam Arokia Balaya, Rex, Denise, Slenter, Marvin, Martens, Nhung, Pham, Robin, Haw, Bijay, Jassal, Lisa, Matthews, Marija, Orlic‐Milacic, Andrea, Senff Ribeiro, Karen, Rothfels, Veronica, Shamovsky, Ralf, Stephan, Cristoffer, Sevilla, Thawfeek, Varusai, Jean‐Marie, Ravel, Rupsha, Fraser, Vera, Ortseifen, Silvia, Marchesi, Piotr, Gawron, Ewa, Smula, Laurent, Heirendt, Venkata, Satagopam, Guanming, Wu, Anders, Riutta, Martin, Golebiewski, Stuart, Owen, Carole, Goble, Xiaoming, Hu, Rupert W, Overall, Dieter, Maier, Angela, Bauch, Benjamin M, Gyori, John A, Bachman, Carlos, Vega, Valentin, Grouès, Miguel, Vazquez, Pablo, Porras, Luana, Licata, Marta, Iannuccelli, Francesca, Sacco, Anastasia, Nesterova, Anton, Yuryev, Anita, de Waard, Denes, Turei, Augustin, Luna, Ozgun, Babur, Sylvain, Soliman, Alberto, Valdeolivas, Marina, Esteban‐Medina, Maria, Peña‐Chilet, Kinza, Rian, Tomáš, Helikar, Bhanwar Lal, Puniya, Dezso, Modos, Agatha, Treveil, Marton, Olbei, Bertrand, De Meulder, Stephane, Ballereau, Aurélien, Dugourd, Aurélien, Naldi, Vincent, Noël, Laurence, Calzone, Chris, Sander, Emek, Demir, Tamas, Korcsmaros, Tom C, Freeman, Franck, Augé, Jacques S, Beckmann, Jan, Hasenauer, Olaf, Wolkenhauer, Egon L, Wilighagen, Alexander R, Pico, Chris T, Evelo, Marc E, Gillespie, Lincoln D, Stein, Henning, Hermjakob, Peter, D'Eustachio, Julio, Saez‐Rodriguez, Joaquin, Dopazo, Alfonso, Valencia, Hiroaki, Kitano, Emmanuel, Barillot, Charles, Auffray, Rudi, Balling, Reinhard, Schneider, Marek, Ostaszewski, Anna, Niarakis, Alexander, Mazein, Inna, Kuperstein, Robert, Phair, Aurelio, Orta‐Resendiz, Vidisha, Singh, Sara Sadat, Aghamiri, Marcio Luis, Acencio, Enrico, Glaab, Andreas, Ruepp, Gisela, Fobo, Corinna, Montrone, Barbara, Brauner, Goar, Frishman, Luis Cristóbal, Monraz Gómez, Julia, Somers, Matti, Hoch, Shailendra, Kumar Gupta, Julia, Scheel, Hanna, Borlinghaus, Tobias, Czauderna, Falk, Schreiber, Arnau, Montagud, Miguel, Ponce de Leon, Akira, Funahashi, Yusuke, Hiki, Noriko, Hiroi, Takahiro G, Yamada, Andreas, Dräger, Alina, Renz, Muhammad, Naveez, Zsolt, Bocskei, Francesco, Messina, Daniela, Börnigen, Liam, Fergusson, Marta, Conti, Marius, Rameil, Vanessa, Nakonecnij, Jakob, Vanhoefer, Leonard, Schmiester, Muying, Wang, Emily E, Ackerman, Jason E, Shoemaker, Jeremy, Zucker, Kristie, Oxford, Jeremy, Teuton, Ebru, Kocakaya, Gökçe Yağmur, Summak, Kristina, Hanspers, Martina, Kutmon, Susan, Coort, Lars, Eijssen, Friederike, Ehrhart, Devasahayam Arokia Balaya, Rex, Denise, Slenter, Marvin, Martens, Nhung, Pham, Robin, Haw, Bijay, Jassal, Lisa, Matthews, Marija, Orlic‐Milacic, Andrea, Senff Ribeiro, Karen, Rothfels, Veronica, Shamovsky, Ralf, Stephan, Cristoffer, Sevilla, Thawfeek, Varusai, Jean‐Marie, Ravel, Rupsha, Fraser, Vera, Ortseifen, Silvia, Marchesi, Piotr, Gawron, Ewa, Smula, Laurent, Heirendt, Venkata, Satagopam, Guanming, Wu, Anders, Riutta, Martin, Golebiewski, Stuart, Owen, Carole, Goble, Xiaoming, Hu, Rupert W, Overall, Dieter, Maier, Angela, Bauch, Benjamin M, Gyori, John A, Bachman, Carlos, Vega, Valentin, Grouès, Miguel, Vazquez, Pablo, Porras, Luana, Licata, Marta, Iannuccelli, Francesca, Sacco, Anastasia, Nesterova, Anton, Yuryev, Anita, de Waard, Denes, Turei, Augustin, Luna, Ozgun, Babur, Sylvain, Soliman, Alberto, Valdeolivas, Marina, Esteban‐Medina, Maria, Peña‐Chilet, Kinza, Rian, Tomáš, Helikar, Bhanwar Lal, Puniya, Dezso, Modos, Agatha, Treveil, Marton, Olbei, Bertrand, De Meulder, Stephane, Ballereau, Aurélien, Dugourd, Aurélien, Naldi, Vincent, Noël, Laurence, Calzone, Chris, Sander, Emek, Demir, Tamas, Korcsmaros, Tom C, Freeman, Franck, Augé, Jacques S, Beckmann, Jan, Hasenauer, Olaf, Wolkenhauer, Egon L, Wilighagen, Alexander R, Pico, Chris T, Evelo, Marc E, Gillespie, Lincoln D, Stein, Henning, Hermjakob, Peter, D'Eustachio, Julio, Saez‐Rodriguez, Joaquin, Dopazo, Alfonso, Valencia, Hiroaki, Kitano, Emmanuel, Barillot, Charles, Auffray, Rudi, Balling, and Reinhard, Schneider
- Abstract
We need to effectively combine the knowledge from surging literature with complex datasets to propose mechanistic models of SARS-CoV-2 infection, improving data interpretation and predicting key targets of intervention. Here, we describe a large-scale community effort to build an open access, interoperable and computable repository of COVID-19 molecular mechanisms. The COVID-19 Disease Map (C19DMap) is a graphical, interactive representation of disease-relevant molecular mechanisms linking many knowledge sources. Notably, it is a computational resource for graph-based analyses and disease modelling. To this end, we established a framework of tools, platforms and guidelines necessary for a multifaceted community of biocurators, domain experts, bioinformaticians and computational biologists. The diagrams of the C19DMap, curated from the literature, are integrated with relevant interaction and text mining databases. We demonstrate the application of network analysis and modelling approaches by concrete examples to highlight new testable hypotheses. This framework helps to find signatures of SARS-CoV-2 predisposition, treatment response or prioritisation of drug candidates. Such an approach may help deal with new waves of COVID-19 or similar pandemics in the long-term perspective., source:https://www.embopress.org/doi/full/10.15252/msb.202110387
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- 2021
16. Interests of the Non-Human Primate Models for HIV Cure Research
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Gauthier Terrade, Nicolas Huot, Caroline Petitdemange, Marie Lazzerini, Aurelio Orta Resendiz, Beatrice Jacquelin, and Michaela Müller-Trutwin
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animal model ,non-human primate ,HIV ,SIV ,natural host ,cure ,Medicine - Abstract
Non-human primate (NHP) models are important for vaccine development and also contribute to HIV cure research. Although none of the animal models are perfect, NHPs enable the exploration of important questions about tissue viral reservoirs and the development of intervention strategies. In this review, we describe recent advances in the use of these models for HIV cure research and highlight the progress that has been made as well as limitations using these models. The main NHP models used are (i) the macaque, in which simian immunodeficiency virus (SIVmac) infection displays similar replication profiles as to HIV in humans, and (ii) the macaque infected by a recombinant virus (SHIV) consisting of SIVmac expressing the HIV envelope gene serving for studies analyzing the impact of anti-HIV Env broadly neutralizing antibodies. Lessons for HIV cure that can be learned from studying the natural host of SIV are also presented here. An overview of the most promising and less well explored HIV cure strategies tested in NHP models will be given.
- Published
- 2021
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