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A role for ASIC3 in the modulation of high-intensity pain stimuli

Open access
Chen, Chih-Cheng, Zimmer, Anne, Sun, Wei-Hsin, Hall, Jennifer, Brownstein, Michael J., Zimmer, Andreas·2002·Proceedings of the National Academy of Sciences

Abstract

Acid-sensing ion channel 3 (ASIC3), a proton-gated ion channel of the degenerins/epithelial sodium channel (DEG/ENaC) receptor family is expressed predominantly in sensory neurons including nociceptive neurons responding to protons. To study the role of ASIC3 in pain signaling, we generated ASIC3 knockout mice. Mutant animals were healthy and responded normally to most sensory stimuli. However, in behavioral assays for pain responses, ASIC3 null mutant mice displayed a reduced latency to the onset of pain responses, or more pain-related behaviors, when stimuli of moderate to high intensity were used. This unexpected effect seemed independent of the modality of the stimulus and was observed in the acetic acid-induced writhing test (0.6 vs. 0.1–0.5%), in the hot-plate test (52.5 and 55 vs. 50°C), and in tests for mechanically induced pain (tail-pinch vs. von Frey filaments). We postulate that ASIC3 is involved in modulating moderate- to high-intensity pain sensation.

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Metadata

Authors
Chen, C.-C., Zimmer, A., Sun, W.-H., Hall, J., Brownstein, M. J., & Zimmer, A.
Venue
Proceedings of the National Academy of Sciences
Published
2002-06-11
Volume
99
Issue
13
Pages
8992-8997
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1978354972
Cited by
308
References
0
FWCI
6.38
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A role for ASIC3 in the modulation of high-intensity pain stimuli. https://app.cochat.ai/papers/10.1073/pnas.122245999
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Chen, C.-C., Zimmer, A., Sun, W.-H., Hall, J., Brownstein, M. J., & Zimmer, A. (2002). A role for ASIC3 in the modulation of high-intensity pain stimuli. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.122245999

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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.