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1.
Cell Rep ; 38(3): 110271, 2022 01 18.
Artículo en Inglés | MEDLINE | ID: covidwho-1588135

RESUMEN

The utility of the urinary proteome in infectious diseases remains unclear. Here, we analyzed the proteome and metabolome of urine and serum samples from patients with COVID-19 and healthy controls. Our data show that urinary proteins effectively classify COVID-19 by severity. We detect 197 cytokines and their receptors in urine, but only 124 in serum using TMT-based proteomics. The decrease in urinary ESCRT complex proteins correlates with active SARS-CoV-2 replication. The downregulation of urinary CXCL14 in severe COVID-19 cases positively correlates with blood lymphocyte counts. Integrative multiomics analysis suggests that innate immune activation and inflammation triggered renal injuries in patients with COVID-19. COVID-19-associated modulation of the urinary proteome offers unique insights into the pathogenesis of this disease. This study demonstrates the added value of including the urinary proteome in a suite of multiomics analytes in evaluating the immune pathobiology and clinical course of COVID-19 and, potentially, other infectious diseases.


Asunto(s)
COVID-19/orina , Inmunidad , Metaboloma , Proteoma/análisis , SARS-CoV-2/inmunología , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , COVID-19/sangre , COVID-19/inmunología , COVID-19/patología , Estudios de Casos y Controles , Niño , Preescolar , China , Estudios de Cohortes , Femenino , Humanos , Inmunidad/fisiología , Masculino , Metaboloma/inmunología , Metabolómica , Persona de Mediana Edad , Gravedad del Paciente , Proteoma/inmunología , Proteoma/metabolismo , Proteómica , Urinálisis/métodos , Adulto Joven
3.
Cell ; 182(1): 59-72.e15, 2020 07 09.
Artículo en Inglés | MEDLINE | ID: covidwho-401448

RESUMEN

Early detection and effective treatment of severe COVID-19 patients remain major challenges. Here, we performed proteomic and metabolomic profiling of sera from 46 COVID-19 and 53 control individuals. We then trained a machine learning model using proteomic and metabolomic measurements from a training cohort of 18 non-severe and 13 severe patients. The model was validated using 10 independent patients, 7 of which were correctly classified. Targeted proteomics and metabolomics assays were employed to further validate this molecular classifier in a second test cohort of 19 COVID-19 patients, leading to 16 correct assignments. We identified molecular changes in the sera of COVID-19 patients compared to other groups implicating dysregulation of macrophage, platelet degranulation, complement system pathways, and massive metabolic suppression. This study revealed characteristic protein and metabolite changes in the sera of severe COVID-19 patients, which might be used in selection of potential blood biomarkers for severity evaluation.


Asunto(s)
Infecciones por Coronavirus/sangre , Metabolómica , Neumonía Viral/sangre , Proteómica , Adulto , Aminoácidos/metabolismo , Biomarcadores/sangre , COVID-19 , Análisis por Conglomerados , Infecciones por Coronavirus/fisiopatología , Femenino , Humanos , Metabolismo de los Lípidos , Aprendizaje Automático , Macrófagos/patología , Masculino , Persona de Mediana Edad , Pandemias , Neumonía Viral/fisiopatología , Índice de Severidad de la Enfermedad
4.
J Microbiol Immunol Infect ; 53(3): 473-480, 2020 Jun.
Artículo en Inglés | MEDLINE | ID: covidwho-17539

RESUMEN

OBJECTIVE: To determine the dynamic changes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in respiratory and fecal specimens in children with coronavirus disease 2019 (COVID-19). METHODS: From January 17, 2020 to February 23, 2020, three paediatric cases of COVID-19 were reported in Qingdao, Shandong Province, China. Epidemiological, clinical, laboratory, and radiological characteristics and treatment data were collected. Patients were followed up to March 10, 2020, and dynamic profiles of nucleic acid testing results in throat swabs and fecal specimens were closely monitored. RESULTS: Clearance of SARS-CoV-2 in respiratory tract occurred within two weeks after abatement of fever, whereas viral RNA remained detectable in stools of pediatric patients for longer than 4 weeks. Two children had fecal SARS-CoV-2 undetectable 20 days after throat swabs showing negative, while that of another child lagged behind for 8 days. CONCLUSIONS: SARS-CoV-2 may exist in children's gastrointestinal tract for a longer time than respiratory system. Persistent shedding of SARS-CoV-2 in stools of infected children raises the possibility that the virus might be transmitted through contaminated fomites. Massive efforts should be made at all levels to prevent spreading of the infection among children after reopening of kindergartens and schools.


Asunto(s)
Betacoronavirus/aislamiento & purificación , Infecciones por Coronavirus/transmisión , Heces/virología , Tracto Gastrointestinal/virología , Neumonía Viral/transmisión , Esparcimiento de Virus/fisiología , COVID-19 , Niño , Preescolar , China , Femenino , Humanos , Lactante , Masculino , Pandemias , ARN Viral/aislamiento & purificación , Sistema Respiratorio/virología , SARS-CoV-2
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