Evidence map›Paper›PMID 33597532›Full record

ArticleNature communications2021

Dysregulated transcriptional responses to SARS-CoV-2 in the periphery.

Micah T McClain, Florica J Constantine, Ricardo Henao, Yiling Liu, Ephraim L Tsalik, Thomas W Burke, Julie M Steinbrink, Elizabeth Petzold, Bradly P Nicholson, Robert Rolfe and 10 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 2 pooled it
7.7field-weighted citation impact, top 2% 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

87 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 3 institutions in 1 country.

Micah T McClainDurham Veterans Affairs Medical Center, Durham, NC, USA. micah.mcclain@duke.edu.ORCID http://orcid.org/0000-0001-8034-1136
Florica J ConstantineCenter for Applied Genomics and Precision Medicine, Duke University, Durham, NC, USA.
Ricardo HenaoCenter for Applied Genomics and Precision Medicine, Duke University, Durham, NC, USA.
Yiling LiuCenter for Applied Genomics and Precision Medicine, Duke University, Durham, NC, USA.
Ephraim L TsalikDurham Veterans Affairs Medical Center, Durham, NC, USA.
Thomas W BurkeCenter for Applied Genomics and Precision Medicine, Duke University, Durham, NC, USA.
Julie M SteinbrinkCenter for Applied Genomics and Precision Medicine, Duke University, Durham, NC, USA.
Elizabeth PetzoldCenter for Applied Genomics and Precision Medicine, Duke University, Durham, NC, USA.
Bradly P NicholsonInstitute for Medical Research, Durham, NC, USA.
Robert RolfeDivision of Infectious Diseases, Duke University Medical Center, Durham, NC, USA.
Bryan D KraftDurham Veterans Affairs Medical Center, Durham, NC, USA.
Matthew S KellyDuke University Medical Center, Durham, NC, USA.
Daniel R SabanDepartment of Opthalmology, Duke University School of Medicine, Durham, NC, USA.
Chen YuDepartment of Opthalmology, Duke University School of Medicine, Durham, NC, USA.
Xiling ShenCenter for Genomics and Computational Biology, Duke University, Durham, NC, USA.
Emily M KoCenter for Applied Genomics and Precision Medicine, Duke University, Durham, NC, USA.
Gregory D SempowskiDuke Human Vaccine Institute, Durham, NC, USA.
Thomas N DennyDuke Human Vaccine Institute, Durham, NC, USA.
Geoffrey S GinsburgCenter for Applied Genomics and Precision Medicine, Duke University, Durham, NC, USA.
Christopher W WoodsDurham Veterans Affairs Medical Center, Durham, NC, USA.
Duke University · USDuke Medical Center · USInstitute for Medical Research · US

Funding

Antibacterial Resistance Leadership Group (ARLG)UM1AI104681 · NIAID · DUKE UNIVERSITY · PI Vance G. Fowler, Henry F HENRY CHAMBERS · 2013 to 2026
$180.8M
NIAID VIROLOGY QUALITY ASSURANCE (VQA) COVID-1975N93019C00015 · NIAID · DUKE UNIVERSITY · PI DENNY, THOMAS · 2019 to 2025
$24.4M
Regional Biocontainment Laboratory (RBL)UC6AI058607 · NIAID · DUKE UNIVERSITY · PI WILLIAMS, R SANDERS · 2003 to 2005
$16.3M
Defining the Immune Cell Roles in Meibomian Gland Dysfunction in the Context of Ocular Surface Immune DiseasesR01EY021798 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI SABAN, DANIEL RAPHAEL · 2012 to 2025
$5.3M
Plasma Protein Biomarker-Based Diagnostics Of Outcome In Sepsis and CAPU01AI066569 · NIAID · NATIONAL CENTER FOR GENOME RESOURCES · PI KINGSMORE, STEPHEN FRANCIS · 2005 to 2010
$2.9M
Transplant Infectious Diseases Interdisciplinary Research Training Grant (TIDIRTGT32AI100851 · NIAID · DUKE UNIVERSITY · PI ALEXANDER, BARBARA D · 2013 to 2022
$1.8M
Role of S-nitrosothiols in Akt1 signaling and pneumonia resolutionK08HL130557 · NHLBI · DUKE UNIVERSITY · PI KRAFT, BRYAN D. · 2017 to 2021
$591k
NHLBI NIH HHS K08 HL130557NIAID NIH HHS 75N93019C00015NIAID NIH HHS T32 AI100851NIAID NIH HHS U01 AI066569NIAID NIH HHS UC6 AI058607NIAID NIH HHS UM1 AI104681
6 · The paper itself

Abstract

SARS-CoV-2 infection has been shown to trigger a wide spectrum of immune responses and clinical manifestations in human hosts. Here, we sought to elucidate novel aspects of the host response to SARS-CoV-2 infection through RNA sequencing of peripheral blood samples from 46 subjects with COVID-19 and directly comparing them to subjects with seasonal coronavirus, influenza, bacterial pneumonia, and healthy controls. Early SARS-CoV-2 infection triggers a powerful transcriptomic response in peripheral blood with conserved components that are heavily interferon-driven but also marked by indicators of early B-cell activation and antibody production. Interferon responses during SARS-CoV-2 infection demonstrate unique patterns of dysregulated expression compared to other infectious and healthy states. Heterogeneous activation of coagulation and fibrinolytic pathways are present in early COVID-19, as are IL1 and JAK/STAT signaling pathways, which persist into late disease. Classifiers based on differentially expressed genes accurately distinguished SARS-CoV-2 infection from other acute illnesses (auROC 0.95 [95% CI 0.92-0.98]). The transcriptome in peripheral blood reveals both diverse and conserved components of the immune response in COVID-19 and provides for potential biomarker-based approaches to diagnosis.

Indexed as

COVID-19CytokinesGene Expression ProfilingHost-Pathogen InteractionsHumansInfluenza, HumanLeukocytes, MononuclearPneumonia, BacterialSARS-CoV-2Sequence Analysis, RNASignal TransductionTranscriptomeCytokines

Identifiers

PMID33597532
PMCPMC7889643
OpenAlexW3131595705

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.