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1.
Cytometry A ; 103(1): 54-70, 2023 01.
Artículo en Inglés | MEDLINE | ID: mdl-35758217

RESUMEN

Mapping the dynamics of immune cell populations over time or disease-course is key to understanding immunopathogenesis and devising putative interventions. We present TrackSOM, a novel method for delineating cellular populations and tracking their development over a time- or disease-course cytometry datasets. We demonstrate TrackSOM-enabled elucidation of the immune response to West Nile Virus infection in mice, uncovering heterogeneous subpopulations of immune cells and relating their functional evolution to disease severity. TrackSOM is easy to use, encompasses few parameters, is quick to execute, and enables an integrative and dynamic overview of the immune system kinetics that underlie disease progression and/or resolution.


Asunto(s)
Fiebre del Nilo Occidental , Virus del Nilo Occidental , Ratones , Animales , Virus del Nilo Occidental/fisiología , Fiebre del Nilo Occidental/patología , Inmunidad , Análisis por Conglomerados
2.
Cell Rep Med ; 2(3): 100208, 2021 03 16.
Artículo en Inglés | MEDLINE | ID: mdl-33564749

RESUMEN

SARS-CoV-2 causes a spectrum of COVID-19 disease, the immunological basis of which remains ill defined. We analyzed 85 SARS-CoV-2-infected individuals at acute and/or convalescent time points, up to 102 days after symptom onset, quantifying 184 immunological parameters. Acute COVID-19 presented with high levels of IL-6, IL-18, and IL-10 and broad activation marked by the upregulation of CD38 on innate and adaptive lymphocytes and myeloid cells. Importantly, activated CXCR3+cTFH1 cells in acute COVID-19 significantly correlate with and predict antibody levels and their avidity at convalescence as well as acute neutralization activity. Strikingly, intensive care unit (ICU) patients with severe COVID-19 display higher levels of soluble IL-6, IL-6R, and IL-18, and hyperactivation of innate, adaptive, and myeloid compartments than patients with moderate disease. Our analyses provide a comprehensive map of longitudinal immunological responses in COVID-19 patients and integrate key cellular pathways of complex immune networks underpinning severe COVID-19, providing important insights into potential biomarkers and immunotherapies.


Asunto(s)
Formación de Anticuerpos , COVID-19/inmunología , Inmunidad Adaptativa , Adulto , Anciano , Anticuerpos Antivirales/sangre , Linfocitos B/citología , Linfocitos B/metabolismo , COVID-19/patología , COVID-19/virología , Femenino , Humanos , Inmunidad Innata , Interleucina-18/metabolismo , Interleucina-6/metabolismo , Masculino , Persona de Mediana Edad , Receptores CXCR3/metabolismo , Receptores de Interleucina-6/metabolismo , SARS-CoV-2/inmunología , SARS-CoV-2/aislamiento & purificación , Índice de Severidad de la Enfermedad , Células TH1/citología , Células TH1/metabolismo , Adulto Joven
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