Evidence map›Paper›PMID 33782412›Full record

ArticleScientific reports2021

Comprehensive transcriptomic analysis of COVID-19 blood, lung, and airway.

Andrea R Daamen, Prathyusha Bachali, Katherine A Owen, Kathryn M Kingsmore, Erika L Hubbard, Adam C Labonte, Robert Robl, Sneha Shrotri, Amrie C Grammer, Peter E Lipsky

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 1 pooled it
9.8field-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

111 citing papers in PubMed, 1 synthesis or guideline pooled it, 159 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
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  12. Human long noncoding RNAJournal of virology · 2025
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  18. Article
  19. Human long noncoding RNA,bioRxiv : the preprint server for biology · 2024
    Article
  20. Review

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Andrea R Daamen *AMPEL BioSolutions LLC, Charlottesville, VA, 22902, USA. andrea.daamen@ampelbiosolutions.com.
Prathyusha Bachali *AMPEL BioSolutions LLC, Charlottesville, VA, 22902, USA.
Katherine A Owen *AMPEL BioSolutions LLC, Charlottesville, VA, 22902, USA.
Kathryn M Kingsmore *AMPEL BioSolutions LLC, Charlottesville, VA, 22902, USA.
Erika L Hubbard *AMPEL BioSolutions LLC, Charlottesville, VA, 22902, USA.
Adam C LabonteAMPEL BioSolutions LLC, Charlottesville, VA, 22902, USA.
Robert RoblAMPEL BioSolutions LLC, Charlottesville, VA, 22902, USA.
Sneha ShrotriAMPEL BioSolutions LLC, Charlottesville, VA, 22902, USA.
Amrie C GrammerAMPEL BioSolutions LLC, Charlottesville, VA, 22902, USA.
Peter E LipskyAMPEL BioSolutions LLC, Charlottesville, VA, 22902, USA. peterlipsky@comcast.net.
Ampel BioSolutions (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV2 is a previously uncharacterized coronavirus and causative agent of the COVID-19 pandemic. The host response to SARS-CoV2 has not yet been fully delineated, hampering a precise approach to therapy. To address this, we carried out a comprehensive analysis of gene expression data from the blood, lung, and airway of COVID-19 patients. Our results indicate that COVID-19 pathogenesis is driven by populations of myeloid-lineage cells with highly inflammatory but distinct transcriptional signatures in each compartment. The relative absence of cytotoxic cells in the lung suggests a model in which delayed clearance of the virus may permit exaggerated myeloid cell activation that contributes to disease pathogenesis by the production of inflammatory mediators. The gene expression profiles also identify potential therapeutic targets that could be modified with available drugs. The data suggest that transcriptomic profiling can provide an understanding of the pathogenesis of COVID-19 in individual patients.

Indexed as

Gene Expression ProfilingBronchiBronchoalveolar Lavage FluidCOVID-19HumansInflammation MediatorsLungMyeloid CellsProtein BindingSARS-CoV-2Inflammation Mediators

Identifiers

PMID33782412
PMCPMC8007747
OpenAlexW3150291517

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.