Evidence map›Paper›PMID 35045565›Full record

ArticleNature2022

The cGAS-STING pathway drives type I IFN immunopathology in COVID-19.

Jeremy Di Domizio, Muhammet F Gulen, Fanny Saidoune, Vivek V Thacker, Ahmad Yatim, Kunal Sharma, Théo Nass, Emmanuella Guenova, Martin Schaller, Curdin Conrad and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Nature, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 351 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
351citing papers in PubMed, 1 pooled it
43.4field-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

351 citing papers in PubMed, 1 synthesis or guideline pooled it, 526 citations in OpenAlex.

  1. Mucosal immune response in biology, disease prevention and treatment.Signal transduction and targeted therapy · 2025
    Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Therapeutic targeting of the cGAS-STING pathway in human disease.The Journal of clinical investigation · 2026
    Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 2 countries.

Jeremy Di Domizio *Department of Dermatology, CHUV University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-6281-3918
Muhammet F Gulen *Global Health Institute, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.
Fanny Saidoune *Department of Dermatology, CHUV University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland.
Vivek V Thacker *Global Health Institute, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-1681-627X
Ahmad Yatim *Department of Dermatology, CHUV University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland.
Kunal SharmaGlobal Health Institute, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-8086-3436
Théo NassGlobal Health Institute, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-5934-2895
Emmanuella GuenovaDepartment of Dermatology, CHUV University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-5478-8735
Martin SchallerUniversity Department of Dermatology, Eberhard Karls University of Tübingen, Tübingen, Germany.
Curdin ConradDepartment of Dermatology, CHUV University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-2547-3440
Christine GoepfertInstitute of Animal Pathology, COMPATH, University of Bern, Bern, Switzerland.
Laurence de LevalInstitute of Pathology, CHUV University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-3994-516X
Christophe von GarnierDivision of Pulmonology, CHUV University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland.
Sabina BerezowskaInstitute of Pathology, CHUV University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland.
Anaëlle DuboisBiological Electron Microscopy Facility, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-1260-9123
Michel GillietDepartment of Dermatology, CHUV University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland. michel.gilliet@chuv.ch.ORCID http://orcid.org/0000-0002-4609-3762
Andrea AblasserGlobal Health Institute, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland. andrea.ablasser@epfl.ch.ORCID http://orcid.org/0000-0002-8475-8999
University of Lausanne · CHÉcole Polytechnique Fédérale de Lausanne · CHUniversity Hospital of Lausanne · CHUniversity of Bern · CHUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19, which is caused by infection with SARS-CoV-2, is characterized by lung pathology and extrapulmonary complications

Indexed as

AnimalsCells, CulturedCOVID-19Cyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseDisease Models, AnimalDisease ProgressionDNA, MitochondrialEndothelial CellsFemaleGene Expression RegulationHumansImmunity, InnateInterferon Type ILungMacrophagesMembrane ProteinscGAS protein, humanCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseDNA, MitochondrialInterferon Type IMembrane ProteinsNucleotidyltransferasesSTING1 protein, humanSting1 protein, mouseSTING Protein

Identifiers

PMID35045565
PMCPMC8891013
OpenAlexW4205252391

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.