Cited by 454interferon and immune responsesSARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies

Dysregulation of type I interferon responses in COVID-19

Open access
Acharya, Dhiraj, Liu, GuanQun, Gack, Michaela U.·2020·Nature Reviews Immunology

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41577-020-0346-x

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A main evasion strategy seems to be blocking type I interferon responses at several steps, such as viral RNA recognition, nuclear translocation of inflammatory transcription factors, and STAT1/STAT2 phosphorylation.

    “A predominant strategy appears to be the inhibition of the type I interferon response58–60 at multiple points, including impaired recognition of viral RNA61,62, decreased nuclear translocation of pro-inflammatory transcription factors (such as IRF3, IRF7 and STAT1)61,63 and suppression of STAT1 and STAT2 phosphorylation64,65.”
  • SARS-CoV-2 uses a multipronged strategy to antagonize the IFN system, with the clinical consequence of an insufficient type I IFN response in early COVID-19.

    “As an immune evasion strategy, SARS-CoV-2 uses a multipronged strategy to antagonize the IFN system with the clinical consequence of an insufficient type I IFN response having been recognized in early COVID-19 studies (Acharya et al., 2020; Blanco-Melo et al., 2020; Sa Ribero et al., 2020).”

    From COVID-19 and the human innate immune system (2021) · cites this paper as Acharya et al., 2020

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Acharya, D., Liu, G., & Gack, M. U.
Affiliations
University of Chicago (US)
Corresponding author
Gack, Michaela U.
Venue
Nature Reviews Immunology
Published
2020-05-26
Volume
20
Issue
7
Pages
397-398
ISSN
  • 1474-1733 (ISSN-L)
  • 1474-1741
OpenAlex
W3032859583
Cited by
454
References
10
Citations by year
2026: 15 · 2025: 22 · 2024: 36 · 2023: 51 · 2022: 121 · 2021: 153 · 2020: 55 · 2013: 1
FWCI
33.28
Type
journal article
Language
en
Open access
Locations
  • Nature reviews. Immunology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › interferon and immune responses
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
Keywords
type I interferon, COVID-19 pandemic, SARS-CoV-2, inflammatory cytokines, antiviral immunity, cytokine storm, viral pathogenesis
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, Animals, Humans, Interferon Type I, Pneumonia, Viral, Interferon-alpha, Coronavirus Infections, Pandemics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review