Evidence map›Paper›PMID 40488962›Full record

ReviewImmunologic research2025

The cGAS-STING axis: a comprehensive review from immune defense to disease pathogenesis.

Ashita Sood

Abstract readReview
PubMed Publisher
In one paragraph

Review in Immunologic research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. MnVeterinary sciences · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Tick-Tock: Cancer Cell Division Cycle Clocks Strike Midnight.International journal of molecular sciences · 2025
    Review
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

1 author.

Ashita SoodCentre for Computational Biology and Bioinformatics, Central University of Himachal Pradesh, Dharamsala, India. ashitasood01@gmail.com.ORCID http://orcid.org/0009-0007-2466-2948

Funding

Department of Science and Technology, Ministry of Science and Technology, India DST/INSPIRE/03/2021/000081
6 · The paper itself

Abstract

The cGAS-STING pathway is a critical signaling mechanism in the innate immune system for sensing cytosolic DNA and subsequently facilitating antiviral responses. Cyclic GMP-AMP synthase (cGAS) recognizes both foreign and self-DNA in the cytosol, resulting in the formation of 2'3'-cyclic GMP-AMP. STING is activated by the cyclic dinucleotide and drives the production of type I interferons as well as pro-inflammatory cytokines. Generating an inflammatory response through the cGAS-STING pathway is critical for antiviral defense, and this cascade also has been involved in the regulation of autophagy, cellular senescence, and other diseases. Defects in this pathway can result in autoimmunity, chronic inflammation, or increased cancer susceptibility. The molecular mechanisms underlying this pathway, its regulatory factors, and how it may contribute to diseases such as systemic lupus erythematosus (SLE), rheumatoid arthritis, and certain cancers were reviewed. This review further covers the therapeutic approaches to this system, such as agonists for cancer treatment and antagonists for autoimmune diseases.

Indexed as

Autoimmune DiseasesMembrane ProteinsNeoplasmsNucleotidyltransferasesAnimalsAutoimmunityCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseHumansImmunity, InnateSignal TransductionSTING ProteincGAS protein, humanCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseMembrane ProteinsNucleotidyltransferasesSTING1 protein, humanSTING ProteinAntiviral pathwaysCGASImmune defenseInflammationInnate immunitySTING

Identifiers

What OpenQuestion holds

Textmetadata
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.