Evidence map›Paper›PMID 37187738›Full record

ReviewFrontiers in immunology2023

Who and how, DNA sensors in NETs-driven inflammation.

Félix-Antoine Aubé, Amel Bidias, Geneviève Pépin

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  11. Neutrophil and Colorectal Cancer.International journal of molecular sciences · 2024
    Review
  12. Article
  13. Neutrophil extracellular traps in homeostasis and disease.Signal transduction and targeted therapy · 2024
    Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. 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

3 authors at 1 institution in 1 country.

Félix-Antoine AubéDépartement de Biologie Médicale, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada.
Amel BidiasDépartement de Biologie Médicale, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada.
Geneviève PépinDépartement de Biologie Médicale, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada.
Université du Québec à Trois-Rivières · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During infections, neutrophil extracellular traps act like a meshwork of molecules that captures microbes. In contrast, during sterile inflammation the presence of NETs is usually associated with tissue damage and uncontrolled inflammation. In this context, DNA acts both as activator of NETs formation and immunogenic molecule fueling inflammation within the injured tissue microenvironment. Pattern recognition receptors that specifically bind to and get activated by DNA such as Toll-like receptor-9 (TLR9), cyclic GMP-AMP synthase (cGAS), Nod-like receptor protein 3 (NLRP3) and Absence in Melanoma-2 (AIM2) have been reported to play a role in NETs formation and detection. However, how these DNA sensors contribute to NETs-driven inflammation is not well understood. Whether these DNA sensors have unique roles or on the contrary they are mostly redundant is still elusive. In this review, we summarize the known contribution of the above DNA sensors to the formation and detection of NETs in the context of sterile inflammation. We also highlight scientific gaps needed to be addressed and propose future direction for therapeutic targets.

Indexed as

Extracellular TrapsDNAHumansInflammationReceptor Protein-Tyrosine KinasesReceptors, Pattern RecognitionDNAReceptor Protein-Tyrosine KinasesReceptors, Pattern RecognitionAIM2CGASinflammasomeNETsNLRP3sterile inflammationTLR9

Identifiers

PMID37187738
PMCPMC10179500
OpenAlexW4367317907

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.