Marked T cell activation, senescence, exhaustion and skewing towards TH17 in patients with COVID-19 pneumonia

[1]  Cibangu Katamba.  HIV index partner testing services in urban Lusaka: a retrospective review of medical records. , 2022, F1000Research.

[2]  Dennis Andersson,et al.  Ensuring trust in COVID-19 data , 2021, Medicine.

[3]  M. Massari,et al.  Tocilizumab in patients with severe COVID-19: a retrospective cohort study , 2020, The Lancet Rheumatology.

[4]  C. Agrati,et al.  An Inflammatory Profile Correlates With Decreased Frequency of Cytotoxic Cells in Coronavirus Disease 2019 , 2020, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[5]  M. Girardis,et al.  Handling and Processing of Blood Specimens from Patients with COVID‐19 for Safe Studies on Cell Phenotype and Cytokine Storm , 2020, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[6]  Zhiyong Ma,et al.  Characteristics of Peripheral Lymphocyte Subset Alteration in COVID-19 Pneumonia , 2020, The Journal of infectious diseases.

[7]  Guiqiang Wang,et al.  Cytokine release syndrome in severe COVID-19: interleukin-6 receptor antagonist tocilizumab may be the key to reduce mortality , 2020, International Journal of Antimicrobial Agents.

[8]  Taojiao Wang,et al.  Clinical and immunologic features in severe and moderate Coronavirus Disease 2019. , 2020, The Journal of clinical investigation.

[9]  J. Ludvigsson.  Systematic review of COVID‐19 in children shows milder cases and a better prognosis than adults , 2020, Acta paediatrica.

[10]  Zhigang Tian,et al.  Functional exhaustion of antiviral lymphocytes in COVID-19 patients , 2020, Cellular & Molecular Immunology.

[11]  M. Girardis,et al.  SARS‐CoV‐2, the Virus that Causes COVID‐19: Cytometry and the New Challenge for Global Health , 2020, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[12]  Yong-tang Zheng,et al.  Elevated exhaustion levels and reduced functional diversity of T cells in peripheral blood may predict severe progression in COVID-19 patients , 2020, Cellular & Molecular Immunology.

[13]  Steven Y. C. Tong,et al.  Breadth of concomitant immune responses prior to patient recovery: a case report of non-severe COVID-19 , 2020, Nature Medicine.

[14]  Huixia Yang,et al.  Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records , 2020, The Lancet.

[15]  E. Holmes,et al.  Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding , 2020, The Lancet.

[16]  Ting Yu,et al.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study , 2020, The Lancet.

[17]  P. Vollmar,et al.  Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany , 2020, The New England journal of medicine.

[18]  Jing Zhao,et al.  Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia , 2020, The New England journal of medicine.

[19]  Y. Hu,et al.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China , 2020, The Lancet.

[20]  P. Pinton,et al.  Mitochondrial functionality and metabolism in T cells from progressive multiple sclerosis patients , 2019, European journal of immunology.

[21]  J. Paul Robinson,et al.  Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition) , 2019, European journal of immunology.

[22]  A. Karlsson,et al.  Intracellular Neutrophil Oxidants: From Laboratory Curiosity to Clinical Reality , 2019, The Journal of Immunology.

[23]  J. Joh,et al.  Immune Responses to Middle East Respiratory Syndrome Coronavirus During the Acute and Convalescent Phases of Human Infection , 2018, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[24]  Mark D. Robinson,et al.  diffcyt: Differential discovery in high-dimensional cytometry via high-resolution clustering , 2018, Communications Biology.

[25]  Qibo Zhang,et al.  MERS-CoV infection in humans is associated with a pro-inflammatory Th1 and Th17 cytokine profile , 2018, Cytokine.

[26]  G. Rabinovich,et al.  Galectin-1: A Jack-of-All-Trades in the Resolution of Acute and Chronic Inflammation , 2017, The Journal of Immunology.

[27]  J. Paul Robinson,et al.  Guidelines for the use of flow cytometry and cell sorting in immunological studies. , 2017, European journal of immunology.

[28]  B. Becher,et al.  CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets , 2017, F1000Research.

[29]  M. Lichterfeld,et al.  The loss of CCR6+ and CD161+ CD4+ T cell homeostasis contributes to disease progression in SIV-infected rhesus macaques , 2016, Mucosal Immunology.

[30]  V. Appay,et al.  Aging of the immune system: Focus on inflammation and vaccination , 2016, European journal of immunology.

[31]  N. Rout.  Enhanced Th1/Th17 Functions of CD161+ CD8+ T Cells in Mucosal Tissues of Rhesus Macaques , 2016, PloS one.

[32]  L. Baum,et al.  Galectins and Immune Responses-Just How Do They Do Those Things They Do? , 2016, Annual review of immunology.

[33]  Piet Demeester,et al.  FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data , 2015, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[34]  M. Teixeira,et al.  The CXCL8/IL-8 chemokine family and its receptors in inflammatory diseases , 2014, Expert review of clinical immunology.

[35]  R. Hotchkiss,et al.  Sepsis-induced immunosuppression: from cellular dysfunctions to immunotherapy , 2013, Nature Reviews Immunology.

[36]  F. Sallusto,et al.  The who's who of T‐cell differentiation: Human memory T‐cell subsets , 2013, European journal of immunology.

[37]  Josef Spidlen,et al.  FlowRepository: A resource of annotated flow cytometry datasets associated with peer‐reviewed publications , 2012, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[38]  J. Delrow,et al.  Innate signals overcome acquired TCR signaling pathway regulation and govern the fate of human CD161(hi) CD8α⁺ semi-invariant T cells. , 2011, Blood.

[39]  F. Marincola,et al.  A human memory T-cell subset with stem cell-like properties , 2011, Nature Medicine.

[40]  Mario Roederer,et al.  SPICE: Exploration and analysis of post‐cytometric complex multivariate datasets , 2011, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[41]  D. Focosi,et al.  CD57+ T lymphocytes and functional immune deficiency , 2010, Journal of leukocyte biology.

[42]  T. Nomura,et al.  Regulatory T Cells and Immune Tolerance , 2008, Cell.

[43]  P. Rossini,et al.  Expression of ectonucleotidase CD39 by Foxp3+ Treg cells: hydrolysis of extracellular ATP and immune suppression. , 2007, Blood.

[44]  A. Rudensky,et al.  Regulatory T cells prevent catastrophic autoimmunity throughout the lifespan of mice , 2007, Nature Immunology.

[45]  A. Banham.  Cell-surface IL-7 receptor expression facilitates the purification of FOXP3(+) regulatory T cells. , 2006, Trends in immunology.

[46]  Jonathan A. Rebhahn,et al.  T Regulatory and Primed Uncommitted CD4 T Cells Express CD73, Which Suppresses Effector CD4 T Cells by Converting 5′-Adenosine Monophosphate to Adenosine1 , 2006, The Journal of Immunology.

[47]  R. Koup,et al.  Intracellular cytokine optimization and standard operating procedure , 2006, Nature Protocols.

[48]  J. Sung,et al.  Early Enhanced Expression of Interferon-Inducible Protein-10 (CXCL-10) and Other Chemokines Predicts Adverse Outcome in Severe Acute Respiratory Syndrome , 2005, Clinical chemistry.

[49]  Y. Lau,et al.  Chemokine up-regulation in SARS-coronavirus–infected, monocyte-derived human dendritic cells , 2005, Blood.

[50]  Y. Guan,et al.  Cytokine Responses in Severe Acute Respiratory Syndrome Coronavirus-Infected Macrophages In Vitro: Possible Relevance to Pathogenesis , 2005, Journal of Virology.

[51]  J. Sung,et al.  Plasma inflammatory cytokines and chemokines in severe acute respiratory syndrome , 2004, Clinical and experimental immunology.

[52]  J. Peiris,et al.  Newly discovered coronavirus as the primary cause of severe acute respiratory syndrome , 2003, The Lancet.

[53]  Leonard C. Harrison,et al.  Regulatory lymphocytes: Antigen-induced regulatory T cells in autoimmunity , 2003, Nature Reviews Immunology.

[54]  A. Cossarizza.  T‐cell repertoire and HIV infection: Facts and perspectives , 1997, AIDS.

[55]  Gastone Castellani,et al.  CD45 isoforms expression on CD4+ and CD8+ T cells throughout life, from newborns to centenarians: implications for T cell memory , 1996, Mechanisms of Ageing and Development.

[56]  A. Kemp,et al.  Reduced interferon-γ secretion in neonates and subsequent atopy , 1994, The Lancet.

[57]  T. Honjo,et al.  Role of PD-1 in Immunity and Diseases. , 2017, Current topics in microbiology and immunology.

[58]  P. Marik,et al.  A Descriptive Study , 2015 .

[59]  B. Grubeck‐Loebenstein,et al.  The aging of the immune system. , 2002, Advances in immunology.

[60]  A. Kemp,et al.  Reduced interferon-gamma secretion in neonates and subsequent atopy. , 1994, Lancet.