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1.
Sci Adv ; 7(6)2021 02.
Artigo em Inglês | MEDLINE | ID: mdl-33536218

RESUMO

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease-19 (COVID-19), has emerged as the cause of a global pandemic. We used RNA sequencing to analyze 286 nasopharyngeal (NP) swab and 53 whole-blood (WB) samples from 333 patients with COVID-19 and controls. Overall, a muted immune response was observed in COVID-19 relative to other infections (influenza, other seasonal coronaviruses, and bacterial sepsis), with paradoxical down-regulation of several key differentially expressed genes. Hospitalized patients and outpatients exhibited up-regulation of interferon-associated pathways, although heightened and more robust inflammatory responses were observed in hospitalized patients with more clinically severe illness. Two-layer machine learning-based host classifiers consisting of complete (>1000 genes), medium (<100), and small (<20) gene biomarker panels identified COVID-19 disease with 85.1-86.5% accuracy when benchmarked using an independent test set. SARS-CoV-2 infection has a distinct biosignature that differs between NP swabs and WB and can be leveraged for COVID-19 diagnosis.


Assuntos
COVID-19/diagnóstico , Nasofaringe/virologia , RNA Viral/metabolismo , SARS-CoV-2/genética , Área Sob a Curva , COVID-19/metabolismo , COVID-19/patologia , COVID-19/virologia , Biblioteca Gênica , Humanos , Aprendizado de Máquina , RNA Viral/sangue , Curva ROC , Reação em Cadeia da Polimerase Via Transcriptase Reversa , SARS-CoV-2/isolamento & purificação , Sensibilidade e Especificidade , Transcriptoma
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