Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 236

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Purinergic signaling, DAMPs, and inflammation

Open access
Di Virgilio, Francesco, Sarti, Alba Clara, Coutinho-Silva, Robson·2020·American Journal of Physiology-Cell Physiology

Abstract

Danger sensing is one of the most fundamental evolutionary features enabling multicellular organisms to perceive potential threats, escape from risky situations, fight actual intruders, and repair damage. Several endogenous molecules are used to “signal damage,” currently referred to as “alarmins” or “damage-associated molecular patterns” (DAMPs), most being already present within all cells (preformed DAMPs), and thus ready to be released, and others neosynthesized following injury. Over recent years it has become overwhelmingly clear that adenosine 5′-triphosphate (ATP) is a ubiquitous and extremely efficient DAMP (thus promoting inflammation), and its main metabolite, adenosine, is a strong immunosuppressant (thus dampening inflammation). Extracellular ATP ligates and activates the P2 purinergic receptors (P2Rs) and is then degraded by soluble and plasma membrane ecto-nucleotidases to generate adenosine acting at P1 purinergic receptors (P1Rs). Extracellular ATP, P2Rs, ecto-nucleotidases, adenosine, and P1Rs are basic elements of the purinergic signaling network and fundamental pillars of inflammation.

Overview

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 · 10.1152/ajpcell.00053.2020

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cites

Show all 2 references

Cited by

See all 236

Metadata

Authors
Di Virgilio, F., Sarti, A. C., & Coutinho-Silva, R.
Venue
American Journal of Physiology-Cell Physiology
Published
2020-05-01
Volume
318
Issue
5
Pages
C832-C835
ISSN
  • 0363-6143 (ISSN-L)
  • 1522-1563
OpenAlex
W3011632447
Cited by
236
References
2
FWCI
16.32
Type
journal article
Language
en
Open access
green

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Purinergic signaling, DAMPs, and inflammation. https://app.cochat.ai/papers/10.1152/ajpcell.00053.2020
The paper
Di Virgilio, F., Sarti, A. C., & Coutinho-Silva, R. (2020). Purinergic signaling, DAMPs, and inflammation. American Journal of Physiology-Cell Physiology. https://doi.org/10.1152/ajpcell.00053.2020

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.