Evidence map›Paper›PMID 34381043›Full record

ArticleNature communications2021

Temporal omics analysis in Syrian hamsters unravel cellular effector responses to moderate COVID-19.

Geraldine Nouailles, Emanuel Wyler, Peter Pennitz, Dylan Postmus, Daria Vladimirova, Julia Kazmierski, Fabian Pott, Kristina Dietert, Michael Muelleder, Vadim Farztdinov and 15 more

Abstract 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 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Antigenic cartography using variant-specific hamster sera reveals substantial antigenic variation among Omicron subvariants.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Article
  20. Article
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

25 authors.

Geraldine Nouailles *Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Division of Pulmonary Inflammation, Berlin, Germany. geraldine.nouailles@charite.de.ORCID 0000-0003-1973-3119
Emanuel Wyler *Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany. emanuel.wyler@mdc-berlin.de.ORCID 0000-0002-9884-1806
Peter PennitzCharité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Division of Pulmonary Inflammation, Berlin, Germany.ORCID 0000-0002-8132-7237
Dylan PostmusBerlin Institute of Health (BIH), Berlin, Germany.ORCID 0000-0002-9551-0411
Daria VladimirovaInstitute of Virology, Freie Universität Berlin, Berlin, Germany.
Julia KazmierskiBerlin Institute of Health (BIH), Berlin, Germany.ORCID 0000-0002-7962-2165
Fabian PottBerlin Institute of Health (BIH), Berlin, Germany.ORCID 0000-0003-3700-1691
Kristina DietertInstitute of Veterinary Pathology, Freie Universität Berlin, Berlin, Germany.ORCID 0000-0002-5667-6750
Michael MuellederCharité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Core Facility - High-Throughput Mass Spectrometry, Berlin, Germany.
Vadim FarztdinovCharité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Core Facility - High-Throughput Mass Spectrometry, Berlin, Germany.
Benedikt ObermayerBerlin Institute of Health at Charité - Universitätsmedizin Berlin, Core Unit Bioinformatics, Berlin, Germany.ORCID 0000-0002-9116-630X
Sandra-Maria WienholdCharité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Division of Pulmonary Inflammation, Berlin, Germany.ORCID 0000-0001-5655-4350
Sandro AndreottiBioinformatics Solution Center, Freie Universität Berlin, Berlin, Germany.
Thomas HoeflerInstitute of Virology, Freie Universität Berlin, Berlin, Germany.ORCID 0000-0001-7486-5582
Birgit SawitzkiCharité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Immunology, Berlin, Germany.
Christian DrostenCharité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Virology, Berlin, Germany.ORCID 0000-0001-7923-0519
Leif E SanderCharité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany.ORCID 0000-0002-0476-9947
Norbert SuttorpCharité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany.
Markus RalserThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London, UK.
Dieter BeuleBerlin Institute of Health at Charité - Universitätsmedizin Berlin, Core Unit Bioinformatics, Berlin, Germany.ORCID 0000-0002-3284-0632
Achim D GruberInstitute of Veterinary Pathology, Freie Universität Berlin, Berlin, Germany.ORCID 0000-0002-4502-0393
Christine GoffinetBerlin Institute of Health (BIH), Berlin, Germany.ORCID 0000-0002-3959-004X
Markus LandthalerBerlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.ORCID 0000-0002-1075-8734
Jakob TrimpertInstitute of Virology, Freie Universität Berlin, Berlin, Germany. jakob.trimpert@fu-berlin.de.ORCID 0000-0003-1616-0810
Martin WitzenrathCharité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Division of Pulmonary Inflammation, Berlin, Germany. martin.witzenrath@charite.de.

Funding

Cancer Research UK FC001134Medical Research Council FC001134Wellcome Trust FC001134
6 · The paper itself

Abstract

In COVID-19, immune responses are key in determining disease severity. However, cellular mechanisms at the onset of inflammatory lung injury in SARS-CoV-2 infection, particularly involving endothelial cells, remain ill-defined. Using Syrian hamsters as a model for moderate COVID-19, we conduct a detailed longitudinal analysis of systemic and pulmonary cellular responses, and corroborate it with datasets from COVID-19 patients. Monocyte-derived macrophages in lungs exert the earliest and strongest transcriptional response to infection, including induction of pro-inflammatory genes, while epithelial cells show weak alterations. Without evidence for productive infection, endothelial cells react, depending on cell subtypes, by strong and early expression of anti-viral, pro-inflammatory, and T cell recruiting genes. Recruitment of cytotoxic T cells as well as emergence of IgM antibodies precede viral clearance at day 5 post infection. Investigating SARS-CoV-2 infected Syrian hamsters thus identifies cell type-specific effector functions, providing detailed insights into pathomechanisms of COVID-19 and informing therapeutic strategies.

Indexed as

Disease Models, AnimalAlveolar Epithelial CellsAnimalsCOVID-19CricetinaeCytokinesEndothelial CellsHumansImmunoglobulin MInflammationLungMacrophagesMesocricetusMonocytesSARS-CoV-2Signal TransductionCytokinesImmunoglobulin MToll-Like Receptors

Identifiers

PMID34381043
PMCPMC8357947

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.