Evidence map›Paper›PMID 33203890›Full record

ArticleNature communications2020

Upper airway gene expression reveals suppressed immune responses to SARS-CoV-2 compared with other respiratory viruses.

Eran Mick, Jack Kamm, Angela Oliveira Pisco, Kalani Ratnasiri, Jennifer M Babik, Gloria Castañeda, Joseph L DeRisi, Angela M Detweiler, Samantha L Hao, Kirsten N Kangelaris and 13 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 3 pooled it
20.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

110 citing papers in PubMed, 3 syntheses or guidelines pooled it, 168 citations in OpenAlex.

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50 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 2 institutions in 1 country.

Eran MickDivision of Infectious Diseases, University of California, San Francisco, CA, USA.ORCID 0000-0002-7299-808X
Jack KammChan Zuckerberg Biohub, San Francisco, CA, USA.ORCID 0000-0003-2412-756X
Angela Oliveira PiscoChan Zuckerberg Biohub, San Francisco, CA, USA.
Kalani RatnasiriChan Zuckerberg Biohub, San Francisco, CA, USA.ORCID 0000-0001-5953-0004
Jennifer M BabikDivision of Infectious Diseases, University of California, San Francisco, CA, USA.
Gloria CastañedaChan Zuckerberg Biohub, San Francisco, CA, USA.
Joseph L DeRisiChan Zuckerberg Biohub, San Francisco, CA, USA.
Angela M DetweilerChan Zuckerberg Biohub, San Francisco, CA, USA.
Samantha L HaoChan Zuckerberg Biohub, San Francisco, CA, USA.ORCID 0000-0002-4349-8131
Kirsten N KangelarisDivision of Hospital Medicine, University of California, San Francisco, CA, USA.
G Renuka KumarChan Zuckerberg Biohub, San Francisco, CA, USA.
Lucy M LiChan Zuckerberg Biohub, San Francisco, CA, USA.ORCID 0000-0002-6562-4004
Sabrina A MannChan Zuckerberg Biohub, San Francisco, CA, USA.
Norma NeffChan Zuckerberg Biohub, San Francisco, CA, USA.ORCID 0000-0001-7141-5420
Priya A PrasadDivision of Hospital Medicine, University of California, San Francisco, CA, USA.
Paula Hayakawa SerpaDivision of Infectious Diseases, University of California, San Francisco, CA, USA.
Sachin J ShahDivision of Hospital Medicine, University of California, San Francisco, CA, USA.
Natasha SpottiswoodeDivision of Hospital Medicine, University of California, San Francisco, CA, USA.
Michelle TanChan Zuckerberg Biohub, San Francisco, CA, USA.
Carolyn S CalfeeDivision of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, USA.
Stephanie A ChristensonDivision of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, USA.
Amy KistlerChan Zuckerberg Biohub, San Francisco, CA, USA.
Charles LangelierDivision of Infectious Diseases, University of California, San Francisco, CA, USA. chaz.langelier@ucsf.edu.ORCID 0000-0002-6708-4646
University of California, San Francisco · USChan Zuckerberg Initiative (United States) · US

Funding

Precision Medicine in the Acute Respiratory Distress SyndromeR35HL140026 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CALFEE, CAROLYN · 2018 to 2024
$6.8M
Identifying the Th2 endotype in COPD: clinical and pathologic implicationsK23HL123778 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTENSON, STEPHANIE A · 2015 to 2019
$847k
Profiling the Lung Transcriptome for Precision Diagnosis of Respiratory Infections using Host/Pathogen Metagenomic SequencingK23HL138461 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LANGELIER, CHARLES · 2018 to 2021
$718k
NHLBI NIH HHS K23 HL123778NHLBI NIH HHS K23 HL138461NHLBI NIH HHS R35 HL140026
6 · The paper itself

Abstract

SARS-CoV-2 infection is characterized by peak viral load in the upper airway prior to or at the time of symptom onset, an unusual feature that has enabled widespread transmission of the virus and precipitated a global pandemic. How SARS-CoV-2 is able to achieve high titer in the absence of symptoms remains unclear. Here, we examine the upper airway host transcriptional response in patients with COVID-19 (n = 93), other viral (n = 41) or non-viral (n = 100) acute respiratory illnesses (ARIs). Compared with other viral ARIs, COVID-19 is characterized by a pronounced interferon response but attenuated activation of other innate immune pathways, including toll-like receptor, interleukin and chemokine signaling. The IL-1 and NLRP3 inflammasome pathways are markedly less responsive to SARS-CoV-2, commensurate with a signature of diminished neutrophil and macrophage recruitment. This pattern resembles previously described distinctions between symptomatic and asymptomatic viral infections and may partly explain the propensity for pre-symptomatic transmission in COVID-19. We further use machine learning to build 27-, 10- and 3-gene classifiers that differentiate COVID-19 from other ARIs with AUROCs of 0.981, 0.954 and 0.885, respectively. Classifier performance is stable across a wide range of viral load, suggesting utility in mitigating false positive or false negative results of direct SARS-CoV-2 tests.

Indexed as

BetacoronavirusClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingDiagnosis, DifferentialGene ExpressionHost-Pathogen InteractionsHumansImmunity, InnateNasopharynxPandemicsPneumonia, ViralRespiratory Tract InfectionsSARS-CoV-2Sensitivity and Specificity

Identifiers

PMID33203890
PMCPMC7673985
OpenAlexW3103316971

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.