The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Opening paths to novel analgesics: the role of potassium channels in chronic pain
Open accessAbstract
Chronic pain is associated with abnormal excitability of the somatosensory system and remains poorly treated in the clinic. Potassium (K⁺) channels are crucial determinants of neuronal activity throughout the nervous system. Opening of these channels facilitates a hyperpolarizing K⁺ efflux across the plasma membrane that counteracts inward ion conductance and therefore limits neuronal excitability. Accumulating research has highlighted a prominent involvement of K⁺ channels in nociceptive processing, particularly in determining peripheral hyperexcitability. We review salient findings from expression, pharmacological, and genetic studies that have untangled a hitherto undervalued contribution of K⁺ channels in maladaptive pain signaling. These emerging data provide a framework to explain enigmatic pain syndromes and to design novel pharmacological treatments for these debilitating states.
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
Neuropathic Pain: A Maladaptive Response of the Nervous System to Damage
Costigan, M., Scholz, J., & Woolf, C. J. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135531 · Cited by 2,025
Kv3 channels: voltage-gated K+ channels designed for high-frequency repetitive firing
Rudy, B., & McBain, C. J. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01892-0 · Cited by 781
Brown, D. A., & Passmore, G. M. (2009) · British Journal of Pharmacology · doi:10.1111/j.1476-5381.2009.00111.x · Cited by 676
Chronic pain epidemiology and its clinical relevance
van Hecke, O., Torrance, N., & Smith, B. H. (2013) · British Journal of Anaesthesia · doi:10.1093/bja/aet123 · Cited by 632
TREK-1, a K+ channel involved in neuroprotection and general anesthesia
Heurteaux, C., Guy, N., Laigle, C., Blondeau, N., Duprat, F., Mazzuca, M., Lang‐Lazdunski, L., Widmann, C., Zanzouri, M., Romey, G., et al. (2004) · The EMBO Journal · doi:10.1038/sj.emboj.7600234 · Cited by 534
Abbott, G. W., Butler, M. H., Bendahhou, S., Dalakas, M. C., Ptacek, L. J., & Goldstein, S. A. N. (2001) · Cell · doi:10.1016/s0092-8674(01)00207-0 · Cited by 294
Cited by
Transition from acute to chronic pain after surgery
Glare, P., Aubrey, K. R., & Myles, P. S. (2019) · The Lancet · doi:10.1016/s0140-6736(19)30352-6 · Cited by 914
Pearson, B. L., Simon, J. M., McCoy, E. S., Salazar, G., Fragola, G., & Zylka, M. J. (2016) · Nature Communications · doi:10.1038/ncomms11173 · Cited by 127
Sakai, A., Saitow, F., Maruyama, M., Miyake, N., Miyake, K., Shimada, T., Okada, T., & Suzuki, H. (2017) · Nature Communications · doi:10.1038/ncomms16079 · Cited by 108
Tools for Understanding Nanoscale Lipid Regulation of Ion Channels
Robinson, C. V., Rohacs, T., & Hansen, S. B. (2019) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2019.04.001 · Cited by 85
Kubo, A., Shinoda, M., Katagiri, A., Takeda, M., Suzuki, T., Asaka, J., Yeomans, D. C., & Iwata, K. (2017) · Pain · doi:10.1097/j.pain.0000000000000808 · Cited by 79
Metadata
- Authors
- Tsantoulas, C., & McMahon, S. B.
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 37
- Issue
- 3
- Pages
- 146-158
- ISSN
- 0166-2236 (ISSN-L)
- OpenAlex
- W2038693417
- Cited by
- 322
- References
- 6
- FWCI
- 3.04
- 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
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.
