Open Access
Numéro |
Med Sci (Paris)
Volume 36, Numéro 10, Octobre 2020
m/s / COVID-19
|
|
---|---|---|
Page(s) | 908 - 913 | |
Section | M/S Revues | |
DOI | https://doi.org/10.1051/medsci/2020168 | |
Publié en ligne | 22 septembre 2020 |
- Verity R, Okell LC, Dorigatti I, et al. Estimates of the severity of coronavirus disease a model-based analysis. Lancet Infect Dis 2019 ; 2020(20): 669–677. [Google Scholar]
- Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 2020; 395 : 1054–62. [CrossRef] [PubMed] [Google Scholar]
- Levy MM, Fink MP, Marshall JC, et al. International sepsis definitions conference. Crit Care Med 2003 ; 31 : 1250–1256. [CrossRef] [PubMed] [Google Scholar]
- Rabi FA, Al Zoubi MS, Kasasbeh GA, et al. SARS-CoV-2 and coronavirus disease 2019: what we know so far. Pathogens 2019 ; 2020 ; 9 : 231. [Google Scholar]
- Hadjadj J, Yatim N, Barnabei L, et al. Impaired type I interferon activity and inflammatory responses in severe COVID-19 patients. Science 2020 : eabc6027. [Google Scholar]
- Liu Y, Du X, Chen J, et al. Neutrophil-to-lymphocyte ratio as an independent risk factor for mortality in hospitalized patients with COVID-19. J Infect 2020; 81 : e6–e12. [Google Scholar]
- Song CY, Xu J, He JQ, Lu YQ. COVID-19 early warning score: a multi-parameter screening tool to identify highly suspected patients. Infect Dis (except HIV/AIDS) 2020. https://doi.org/10.1101/2020.03.05.20031906. [Google Scholar]
- Sanchez-Cerrillo I, Landete P, Aldave B, et al. Differential redistribution of activated monocyte and dendritic cell subsets to the lung associates with severity of COVID-19. Infect Dis (except HIV/AIDS) 2020. https://doi.org/10.1101/2020.05.13.20100925. [Google Scholar]
- Wen W, Su W, Tang H, et al. Immune cell profiling of COVID-19 patients in the recovery stage by single-cell sequencing. Cell Discov 2020; 6. [PubMed] [Google Scholar]
- Shi Y, Wang Y, Shao C, et al. COVID-19 infection: the perspectives on immune responses. Cell Death Differ 2020; 27: 1451–4. https://doi.org/10.1038/s41418-020-0530-3. [CrossRef] [PubMed] [Google Scholar]
- Gonçalves E, Bonduelle O, Soria A, et al. Innate gene signature distinguishes humoral versus cytotoxic responses to influenza vaccination. J Clin Invest 2019 ; 129 : 1960–1971. [CrossRef] [PubMed] [Google Scholar]
- Gonçalves E, Combadière B. Prédire la réponse à la vaccination contre la grippe : vers l’identification d’une signature moléculaire précoce. Med Sci (Paris) 2020; 36 : 31–7. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
- Du SQ, Yuan W. Mathematical modeling of interaction between innate and adaptive immune responses in COVID-19 and implications for viral pathogenesis. J Med Virol 2020; 10.1002/jmv.25866. [Google Scholar]
- Long QX, Liu BZ, Deng HJ, et al. Antibody responses to SARS-CoV-2 in patients with COVID-19. Nat Med 2020; 26 : 845–8. [CrossRef] [PubMed] [Google Scholar]
- Amanat F, Stadlbauer D, Strohmeier S, et al. A serological assay to detect SARS-CoV-2 seroconversion in humans. Nat Med 2020; 26 : 1033–6. [CrossRef] [PubMed] [Google Scholar]
- Ni L, Ye F, Cheng M-L, et al. Detection of SARS-CoV-2-specific humoral and cellular immunity in COVID-19 convalescent individuals. Immunity 2020; 52 : 971–7. [CrossRef] [PubMed] [Google Scholar]
- Du Z, Zhu F, Guo F, et al. Detection of antibodies against SARS-CoV-2 in patients with COVID-19. J Med Virol 2020; 10.1002/jmv.25820. [Google Scholar]
- Wu J, Liang B, Chen C, et al. SARS-CoV-2 infection induces sustained humoral immune responses in convalescent patients following symptomatic COVID-19. Infect Dis (except HIV/AIDS) 2020. https://doi.org/10.1101/2020.07.21.20159178. [Google Scholar]
- Sterlin D, Mathian A, Miyara M, et al. IgA dominates the early neutralizing antibody response to SARS-CoV-2. Infect Dis (except HIV/AIDS) 2020. https://doi.org/10.1101/2020.06.10.20126532. [Google Scholar]
- Fafi-Kremer S, Bruel T, Madec Y, et al. Serologic responses to SARS-CoV-2 infection among hospital staff with mild disease in eastern France. Infect Dis (except HIV/AIDS) 2020. https://doi.org/10.1101/2020.05.19.20101832. [Google Scholar]
- Zhao J. Antibody responses to SARS-CoV-2 in patients of novel coronavirus disease 2019. Clin Infect Dis 2020; ciaa344. [Google Scholar]
- Li F. Structure, function, and evolution of coronavirus spike proteins. Annu Rev Virol 2016 ; 3 : 237–261. [PubMed] [Google Scholar]
- Plotkin SA. Vaccination against SARS-2-nCoV. J Pediatr Infect Dis Soc 2020; piaa093. [Google Scholar]
- Grifoni A, Sidney J, Zhang Y, et al. A Sequence homology and bioinformatic approach can predict candidate targets for immune responses to SARS-CoV-2. Cell Host Microbe 2020; 27 : 671–80. [CrossRef] [PubMed] [Google Scholar]
- Wrapp D, Wang N, Corbett K, et al. Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation. Science 2020 : 367 : 1260–3. [Google Scholar]
- Grifoni A, Weiskopf D, Ramirez SI, et al. Targets of T cell responses to SARS-CoV-2 coronavirus in humans with COVID-19 disease and unexposed individuals. Cell 2020; 181 : 1489–501. [CrossRef] [PubMed] [Google Scholar]
- Ong E, Wong MU, Huffman A, He Y. COVID-19 coronavirus vaccine design using reverse vaccinology and machine learning. Front Immunol 2020; 11. [PubMed] [Google Scholar]
- Peeples L. News feature: avoiding pitfalls in the pursuit of a COVID-19 vaccine. Proc Natl Acad Sci USA 2020; 117 : 8218–21. [CrossRef] [Google Scholar]
- Greenbaum JA, Kotturi MF, Kim Y, et al. Pre-existing immunity against swine-origin H1N1 influenza viruses in the general human population. Proc Natl Acad Sci USA 2009 ; 106 : 20365–20370. [CrossRef] [Google Scholar]
- Wilkinson TM, Li CKF, Chui CSC, et al. Preexisting influenza-specific CD4+ T cells correlate with disease protection against influenza challenge in humans. Nat Med 2012 ; 18 : 274–280. [CrossRef] [PubMed] [Google Scholar]
- Sridhar S, Begom S, Bermingham A, et al. Cellular immune correlates of protection against symptomatic pandemic influenza. Nat Med 2013 ; 19 : 1305–1312. [CrossRef] [PubMed] [Google Scholar]
- Hancock K, Veguilla V, Lu X, et al. Cross-reactive antibody responses to the 2009 pandemic H1N1 influenza virus. N Engl J Med 2009 ; 361 : 1945–1952. [Google Scholar]
Les statistiques affichées correspondent au cumul d'une part des vues des résumés de l'article et d'autre part des vues et téléchargements de l'article plein-texte (PDF, Full-HTML, ePub... selon les formats disponibles) sur la platefome Vision4Press.
Les statistiques sont disponibles avec un délai de 48 à 96 heures et sont mises à jour quotidiennement en semaine.
Le chargement des statistiques peut être long.