The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
TRPV1 and TRPA1 Antagonists Prevent the Transition of Acute to Chronic Inflammation and Pain in Chronic Pancreatitis
Open accessAbstract
Visceral afferents expressing transient receptor potential (TRP) channels TRPV1 and TRPA1 are thought to be required for neurogenic inflammation and development of inflammatory hyperalgesia. Using a mouse model of chronic pancreatitis (CP) produced by repeated episodes (twice weekly) of caerulein-induced AP (AP), we studied the involvement of these TRP channels in pancreatic inflammation and pain-related behaviors. Antagonists of the two TRP channels were administered at different times to block the neurogenic component of AP. Six bouts of AP (over 3 wks) increased pancreatic inflammation and pain-related behaviors, produced fibrosis and sprouting of pancreatic nerve fibers, and increased TRPV1 and TRPA1 gene transcripts and a nociceptive marker, pERK, in pancreas afferent somata. Treatment with TRP antagonists, when initiated before week 3, decreased pancreatic inflammation and pain-related behaviors and also blocked the development of histopathological changes in the pancreas and upregulation of TRPV1, TRPA1, and pERK in pancreatic afferents. Continued treatment with TRP antagonists blocked the development of CP and pain behaviors even when mice were challenged with seven more weeks of twice weekly caerulein. When started after week 3, however, treatment with TRP antagonists was ineffective in blocking the transition from AP to CP and the emergence of pain behaviors. These results suggest: (1) an important role for neurogenic inflammation in pancreatitis and pain-related behaviors, (2) that there is a transition from AP to CP, after which TRP channel antagonism is ineffective, and thus (3) that early intervention with TRP channel antagonists may attenuate the transition to and development of CP effectively.
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.
Integrity signals
Registry
Cites
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.
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
The versatility and universality of calcium signalling
Berridge, M. J., Lipp, P., & Bootman, M. D. (2000) · Nature Reviews Molecular Cell Biology · doi:10.1038/35036035 · Cited by 5,701
Pain mechanisms in chronic pancreatitis: of a master and his fire.
Demir, I. E., Tieftrunk, E., Maak, M., Friess, H., & Ceyhan, G. O. (2011) · Langenbeck s Archives of Surgery · doi:10.1007/s00423-010-0731-1 · Cited by 101
Cited by
Advances in TRP channel drug discovery: from target validation to clinical studies
Koivisto, A.-P., Belvisi, M. G., Gaudet, R., & Szallasi, A. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-021-00268-4 · Cited by 537
Saloman, J. L., Albers, K. M., Li, D., Hartman, D. J., Crawford, H. C., Muha, E. A., Rhim, A. D., & Davis, B. M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1512603113 · Cited by 408
Self-citationMammalian Transient Receptor Potential TRPA1 Channels: From Structure to Disease
Talavera, K., Startek, J. B., Alvarez-Collazo, J., Boonen, B., Alpizar, Y. A., Sanchez, A., Naert, R., & Nilius, B. (2020) · Physiological Reviews · doi:10.1152/physrev.00005.2019 · Cited by 403
Mechanisms of cancer dissemination along nerves
Amit, M., Na'ara, S., & Gil, Z. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.38 · Cited by 308
Xie, Z., Feng, J., Hibberd, T. J., Chen, B. N., Zhao, Y., Zang, K., Hu, X., Yang, X., Chen, L., Brookes, S. J., et al. (2023) · Neuron · doi:10.1016/j.neuron.2022.11.015 · Cited by 84
Metadata
- Authors
- Schwartz, E. S., La, J.-H., Scheff, N. N., Davis, B. M., Albers, K. M., & Gebhart, G. F.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2013-03-27
- Volume
- 33
- Issue
- 13
- Pages
- 5603-5611
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2093343039
- Cited by
- 173
- References
- 2
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: TRPV1 and TRPA1 Antagonists Prevent the Transition of Acute to Chronic Inflammation and Pain in Chronic Pancreatitis. https://app.cochat.ai/papers/10.1523/jneurosci.1806-12.2013
- The paper
- Schwartz, E. S., La, J.-H., Scheff, N. N., Davis, B. M., Albers, K. M., & Gebhart, G. F. (2013). TRPV1 and TRPA1 Antagonists Prevent the Transition of Acute to Chronic Inflammation and Pain in Chronic Pancreatitis. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.1806-12.2013
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.