Literature DB >> 34010280

The Biobanque québécoise de la COVID-19 (BQC19)-A cohort to prospectively study the clinical and biological determinants of COVID-19 clinical trajectories.

Karine Tremblay1,2, Simon Rousseau3,4, Ma'n H Zawati5, Daniel Auld6, Michaël Chassé7,8, Daniel Coderre9, Emilia Liana Falcone7,10, Nicolas Gauthier11, Nathalie Grandvaux12,13, François Gros-Louis14,15, Carole Jabet16, Yann Joly5, Daniel E Kaufmann7,13, Catherine Laprise1,17, Catherine Larochelle13,18, François Maltais19, Anne-Marie Mes-Masson13,20, Alexandre Montpetit9, Alain Piché21,22, J Brent Richards23,24, Sze Man Tse25, Alexis F Turgeon26,27, Gustavo Turecki28,29, Donald C Vinh30,31, Han Ting Wang32,33, Vincent Mooser34.   

Abstract

SARS-CoV-2 infection causing the novel coronavirus disease 2019 (COVID-19) has been responsible for more than 2.8 million deaths and nearly 125 million infections worldwide as of March 2021. In March 2020, the World Health Organization determined that the COVID-19 outbreak is a global pandemic. The urgency and magnitude of this pandemic demanded immediate action and coordination between local, regional, national, and international actors. In that mission, researchers require access to high-quality biological materials and data from SARS-CoV-2 infected and uninfected patients, covering the spectrum of disease manifestations. The "Biobanque québécoise de la COVID-19" (BQC19) is a pan-provincial initiative undertaken in Québec, Canada to enable the collection, storage and sharing of samples and data related to the COVID-19 crisis. As a disease-oriented biobank based on high-quality biosamples and clinical data of hospitalized and non-hospitalized SARS-CoV-2 PCR positive and negative individuals. The BQC19 follows a legal and ethical management framework approved by local health authorities. The biosamples include plasma, serum, peripheral blood mononuclear cells and DNA and RNA isolated from whole blood. In addition to the clinical variables, BQC19 will provide in-depth analytical data derived from the biosamples including whole genome and transcriptome sequencing, proteome and metabolome analyses, multiplex measurements of key circulating markers as well as anti-SARS-CoV-2 antibody responses. BQC19 will provide the scientific and medical communities access to data and samples to better understand, manage and ultimately limit, the impact of COVID-19. In this paper we present BQC19, describe the process according to which it is governed and organized, and address opportunities for future research collaborations. BQC19 aims to be a part of a global communal effort addressing the challenges of COVID-19.

Entities:  

Year:  2021        PMID: 34010280     DOI: 10.1371/journal.pone.0245031

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  2 in total

1.  Integrated immunovirological profiling validates plasma SARS-CoV-2 RNA as an early predictor of COVID-19 mortality.

Authors:  Elsa Brunet-Ratnasingham; Sai Priya Anand; Pierre Gantner; Alina Dyachenko; Gaël Moquin-Beaudry; Nathalie Brassard; Guillaume Beaudoin-Bussières; Amélie Pagliuzza; Romain Gasser; Mehdi Benlarbi; Floriane Point; Jérémie Prévost; Annemarie Laumaea; Julia Niessl; Manon Nayrac; Gérémy Sannier; Catherine Orban; Marc Messier-Peet; Guillaume Butler-Laporte; David R Morrison; Sirui Zhou; Tomoko Nakanishi; Marianne Boutin; Jade Descôteaux-Dinelle; Gabrielle Gendron-Lepage; Guillaume Goyette; Catherine Bourassa; Halima Medjahed; Laetitia Laurent; Rose-Marie Rébillard; Jonathan Richard; Mathieu Dubé; Rémi Fromentin; Nathalie Arbour; Alexandre Prat; Catherine Larochelle; Madeleine Durand; J Brent Richards; Michaël Chassé; Martine Tétreault; Nicolas Chomont; Andrés Finzi; Daniel E Kaufmann
Journal:  Sci Adv       Date:  2021-11-26       Impact factor: 14.136

2.  The dynamic changes and sex differences of 147 immune-related proteins during acute COVID-19 in 580 individuals.

Authors:  Guillaume Butler-Laporte; Edgar Gonzalez-Kozlova; Chen-Yang Su; Sirui Zhou; Tomoko Nakanishi; Elsa Brunet-Ratnasingham; David Morrison; Laetitia Laurent; Jonathan Afilalo; Marc Afilalo; Danielle Henry; Yiheng Chen; Julia Carrasco-Zanini; Yossi Farjoun; Maik Pietzner; Nofar Kimchi; Zaman Afrasiabi; Nardin Rezk; Meriem Bouab; Louis Petitjean; Charlotte Guzman; Xiaoqing Xue; Chris Tselios; Branka Vulesevic; Olumide Adeleye; Tala Abdullah; Noor Almamlouk; Yara Moussa; Chantal DeLuca; Naomi Duggan; Erwin Schurr; Nathalie Brassard; Madeleine Durand; Diane Marie Del Valle; Ryan Thompson; Mario A Cedillo; Eric Schadt; Kai Nie; Nicole W Simons; Konstantinos Mouskas; Nicolas Zaki; Manishkumar Patel; Hui Xie; Jocelyn Harris; Robert Marvin; Esther Cheng; Kevin Tuballes; Kimberly Argueta; Ieisha Scott; Celia M T Greenwood; Clare Paterson; Michael Hinterberg; Claudia Langenberg; Vincenzo Forgetta; Vincent Mooser; Thomas Marron; Noam Beckmann; Ephraim Kenigsberg; Alexander W Charney; Seunghee Kim-Schulze; Miriam Merad; Daniel E Kaufmann; Sacha Gnjatic; J Brent Richards
Journal:  Clin Proteomics       Date:  2022-09-28       Impact factor: 5.000

  2 in total

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