The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Multiple chronic pain states are associated with a common amino acid–changing allele in KCNS1
Open accessAbstract
Not all patients with nerve injury develop neuropathic pain. The extent of nerve damage and age at the time of injury are two of the few risk factors identified to date. In addition, preclinical studies show that neuropathic pain variance is heritable. To define such factors further, we performed a large-scale gene profiling experiment which plotted global expression changes in the rat dorsal root ganglion in three peripheral neuropathic pain models. This resulted in the discovery that the potassium channel alpha subunit KCNS1, involved in neuronal excitability, is constitutively expressed in sensory neurons and markedly downregulated following nerve injury. KCNS1 was then characterized by an unbiased network analysis as a putative pain gene, a result confirmed by single nucleotide polymorphism association studies in humans. A common amino acid changing allele, the 'valine risk allele', was significantly associated with higher pain scores in five of six independent patient cohorts assayed (total of 1359 subjects). Risk allele prevalence is high, with 18-22% of the population homozygous, and an additional 50% heterozygous. At lower levels of nerve damage (lumbar back pain with disc herniation) association with greater pain outcome in homozygote patients is P = 0.003, increasing to P = 0.0001 for higher levels of nerve injury (limb amputation). The combined P-value for pain association in all six cohorts tested is 1.14 E-08. The risk profile of this marker is additive: two copies confer the most, one intermediate and none the least risk. Relative degrees of enhanced risk vary between cohorts, but for patients with lumbar back pain, they range between 2- and 3-fold. Although work still remains to define the potential role of this protein in the pathogenic process, here we present the KCNS1 allele rs734784 as one of the first prognostic indicators of chronic pain risk. Screening for this allele could help define those individuals prone to a transition to persistent pain, and thus requiring therapeutic strategies or lifestyle changes that minimize nerve injury.
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Citations
Cites
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
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
Self-citationFunctional organization of the transcriptome in human brain
Oldham, M. C., Konopka, G., Iwamoto, K., Langfelder, P., Kato, T., Horvath, S., & Geschwind, D. H. (2008) · Nature Neuroscience · doi:10.1038/nn.2207 · Cited by 752 · cited 3×
“2) (Oldham et al., 2006, 2008).”
MethodSelf-citationConservation and evolution of gene coexpression networks in human and chimpanzee brains
Oldham, M. C., Horvath, S., & Geschwind, D. H. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605938103 · Cited by 566
Cited by
What is this thing called pain?
Woolf, C. J. (2010) · Journal of Clinical Investigation · doi:10.1172/jci45178 · Cited by 593
Self-citationClarke, H., Bonin, R. P., Orser, B. A., Englesakis, M., Wijeysundera, D. N., & Katz, J. (2012) · Anesthesia & Analgesia · doi:10.1213/ane.0b013e318249d36e · Cited by 481
Toward a Mechanism-Based Approach to Pain Diagnosis
Vardeh, D., Mannion, R. J., & Woolf, C. J. (2016) · The Journal of Pain · doi:10.1016/j.jpain.2016.03.001 · Cited by 319
Self-citationWhen pain gets stuck: the evolution of pain chronification and treatment resistance
Borsook, D., Youssef, A. M., Simons, L., Elman, I., & Eccleston, C. (2018) · Pain · doi:10.1097/j.pain.0000000000001401 · Cited by 281
Diagnosing and treating chronic musculoskeletal pain based on the underlying mechanism(s)
Clauw, D. J. (2015) · Best Practice & Research Clinical Rheumatology · doi:10.1016/j.berh.2015.04.024 · Cited by 169
Metadata
- Authors
- Costigan, M., Belfer, I., Griffin, R. S., Dai, F., Barrett, L. B., Coppola, G., Wu, T., Kiselycznyk, C., Poddar, M., Lu, Y., Diatchenko, L., Smith, S., Cobos, E. J., Zaykin, D., Allchorne, A., Shen, P.-H., Nikolajsen, L., Karppinen, J., Männikkö, M., Kelempisioti, A., Goldman, D., Maixner, W., Geschwind, D. H., Max, M. B., Seltzer, Z., & Woolf, C. J.
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-08-19
- Volume
- 133
- Issue
- 9
- Pages
- 2519-2527
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2149756965
- Cited by
- 252
- References
- 4
- FWCI
- 15.79
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Costigan, M., Belfer, I., Griffin, R. S., Dai, F., Barrett, L. B., Coppola, G., Wu, T., Kiselycznyk, C., Poddar, M., Lu, Y., Diatchenko, L., Smith, S., Cobos, E. J., Zaykin, D., Allchorne, A., Shen, P.-H., Nikolajsen, L., Karppinen, J., Männikkö, M., . . . Woolf, C. J. (2010). Multiple chronic pain states are associated with a common amino acid–changing allele in KCNS1. Brain. https://doi.org/10.1093/brain/awq195
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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.