Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 265

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

General anesthetics activate a nociceptive ion channel to enhance pain and inflammation

Open access
Matta, José A., Cornett, Paul M., Miyares, Rosa L., Abe, Ken, Sahibzada, Niaz, Ahern, Gerard P.·2008·Proceedings of the National Academy of Sciences

Abstract

General anesthetics (GAs) have transformed surgery through their actions to depress the central nervous system and blunt the perception of surgical insults. Counterintuitively, many of these agents activate peripheral nociceptive neurons. However, the underlying mechanisms and significance of these effects have not been explored. Here, we show that clinical concentrations of noxious i.v. and inhalation GAs excite sensory neurons by selectively activating TRPA1, a key ion channel in the pain pathway. Further, these GAs induce pain-related responses in mice that are abolished in TRPA1-null animals. Significantly, TRPA1-dependent neurogenic inflammation is greater in mice anesthetized with pungent compared with nonpungent anesthetics. Thus, our results show that TRPA1 is essential for sensing noxious GAs. The pronociceptive effects of GAs combined with surgical tissue damage could lead to a paradoxical increase in postoperative pain and 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 · 10.1073/pnas.0711038105

Cites

1 of 1 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 1 references

Cited by

See all 265

Metadata

Authors
Matta, J. A., Cornett, P. M., Miyares, R. L., Abe, K., Sahibzada, N., & Ahern, G. P.
Venue
Proceedings of the National Academy of Sciences
Published
2008-06-24
Volume
105
Issue
25
Pages
8784-8789
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2044911849
Cited by
265
References
1
FWCI
8.96
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: General anesthetics activate a nociceptive ion channel to enhance pain and inflammation. https://app.cochat.ai/papers/10.1073/pnas.0711038105
The paper
Matta, J. A., Cornett, P. M., Miyares, R. L., Abe, K., Sahibzada, N., & Ahern, G. P. (2008). General anesthetics activate a nociceptive ion channel to enhance pain and inflammation. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0711038105

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.