학술논문
A diagnostic host response biosignature for COVID-19 from RNA profiling of nasal swabs and blood.
Document Type
article
Author
Ng, Dianna L; Granados, Andrea C; Santos, Yale A; Servellita, Venice; Goldgof, Gregory M; Meydan, Cem; Sotomayor-Gonzalez, Alicia; Levine, Andrew G; Balcerek, Joanna; Han, Lucy M; Akagi, Naomi; Truong, Kent; Neumann, Neil M; Nguyen, David N; Bapat, Sagar P; Cheng, Jing; Martin, Claudia Sanchez-San; Federman, Scot; Foox, Jonathan; Gopez, Allan; Li, Tony; Chan, Ray; Chu, Cynthia S; Wabl, Chiara A; Gliwa, Amelia S; Reyes, Kevin; Pan, Chao-Yang; Guevara, Hugo; Wadford, Debra; Miller, Steve; Mason, Christopher E; Chiu, Charles Y
Source
Science advances. 7(6)
Subject
Language
Abstract
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 (