The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Amiloride-blockable acid-sensing ion channels are leading acid sensors expressed in human nociceptors
Open accessAbstract
Many painful inflammatory and ischemic conditions such as rheumatoid arthritis, cardiac ischemia, and exhausted skeletal muscles are accompanied by local tissue acidosis. In such acidotic states, extracellular protons provoke the pain by opening cation channels in nociceptors. It is generally believed that a vanilloid receptor subtype-1 (VR1) and an acid-sensing ion channel (ASIC) mediate the greater part of acid-induced nociception in mammals. Here we provide evidence for the involvement of both channels in acid-evoked pain in humans and show their relative contributions to the nociception. In our psychophysical experiments, direct infusion of acidic solutions (pH > or = 6.0) into human skin caused localized pain, which was blocked by amiloride, an inhibitor of ASICs, but not by capsazepine, an inhibitor of VR1. Under more severe acidification (pH 5.0) amiloride was less effective in reducing acid-evoked pain. In addition, capsazepine had a partial blocking effect under these conditions. Amiloride itself neither blocked capsaicin-evoked localized pain in human skin nor inhibited proton-induced currents in VR1-expressing Xenopus oocytes. Our results suggest that ASICs are leading acid sensors in human nociceptors and that VR1 participates in the nociception mainly under extremely acidic conditions.
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Cites
The Cloned Capsaicin Receptor Integrates Multiple Pain-Producing Stimuli
Tominaga, M., Caterina, M. J., Malmberg, A. B., Rosen, T. A., Gilbert, H., Skinner, K., Raumann, B. E., Basbaum, A. I., & Julius, D. (1998) · Neuron · doi:10.1016/s0896-6273(00)80564-4 · Cited by 3,081
Molecular mechanisms of nociception
Julius, D., & Basbaum, A. I. (2001) · Nature · doi:10.1038/35093019 · Cited by 2,685
The Vanilloid Receptor: A Molecular Gateway to the Pain Pathway
Caterina, M. J., & Julius, D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.487 · Cited by 1,575
A proton-gated cation channel involved in acid-sensing
Waldmann, R., Champigny, G., Bassilana, F., Heurteaux, C., & Lazdunski, M. (1997) · Nature · doi:10.1038/386173a0 · Cited by 1,346
Chuang, H.-H., Prescott, E. D., Kong, H., Shields, S., Jordt, S.-E., Basbaum, A. I., Chao, M. V., & Julius, D. (2001) · Nature · doi:10.1038/35082088 · Cited by 1,258
Kellenberger, S., & Schild, L. (2002) · Physiological Reviews · doi:10.1152/physrev.00007.2002 · Cited by 1,026
Tackling Pain at the Source: New Ideas about Nociceptors
Snider, W. D., & McMahon, S. B. (1998) · Neuron · doi:10.1016/s0896-6273(00)81003-x · Cited by 853
Brodie, S. E. (1996) · Survey of Ophthalmology · doi:10.1016/s0039-6257(96)80075-0 · Cited by 745
The DRASIC Cation Channel Contributes to the Detection of Cutaneous Touch and Acid Stimuli in Mice
Price, M. P., McIlwrath, S. L., Xie, J., Cheng, C., Qiao, J., Tarr, D. E., Sluka, K. A., Brennan, T. J., Lewin, G. R., & Welsh, M. J. (2001) · Neuron · doi:10.1016/s0896-6273(01)00547-5 · Cited by 604
Molecular Cloning of a Non-inactivating Proton-gated Na+ Channel Specific for Sensory Neurons
Waldmann, R., Bassilana, F., de Weille, J., Champigny, G., Heurteaux, C., & Lazdunski, M. (1997) · Journal of Biological Chemistry · doi:10.1074/jbc.272.34.20975 · Cited by 534
Cited by
Nociceptors: a phylogenetic view
Smith, E. S. J., & Lewin, G. R. (2009) · Journal of Comparative Physiology A · doi:10.1007/s00359-009-0482-z · Cited by 271
Qiu, F., Qiu, C., Cai, H., Liu, T., Qu, Z., Yang, Z., Li, J., Zhou, Q., & Hu, W. (2014) · British Journal of Pharmacology · doi:10.1111/bph.12635 · Cited by 67
Metadata
- Authors
- Ugawa, S., Ueda, T., Ishida, Y., Nishigaki, M., Shibata, Y., & Shimada, S.
- Venue
- Journal of Clinical Investigation
- Published
- 2002-10-15
- Volume
- 110
- Issue
- 8
- Pages
- 1185-1190
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W1963984202
- Cited by
- 296
- References
- 36
- FWCI
- 4.30
- Type
- journal article
- Language
- en
- Open access
- green
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- Ugawa, S., Ueda, T., Ishida, Y., Nishigaki, M., Shibata, Y., & Shimada, S. (2002). Amiloride-blockable acid-sensing ion channels are leading acid sensors expressed in human nociceptors. Journal of Clinical Investigation. https://doi.org/10.1172/jci15709
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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.
