Evidence map›Paper›PMID 20724292›Full record

ArticleBrain : a journal of neurology2010

Multiple chronic pain states are associated with a common amino acid-changing allele in KCNS1.

Michael Costigan, Inna Belfer, Robert S Griffin, Feng Dai, Lee B Barrett, Giovanni Coppola, Tianxia Wu, Carly Kiselycznyk, Minakshi Poddar, Yan Lu and 18 more

Erratum issued 2 registry-linked trialsOpen access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 2 registered trials, which are not on this map. Cited by 123 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 4 pooled it
14.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04798573 active not recruitingnot on this mapstarted 2012, after this paper: background citation

Phenomics and Genomics of Clinically Relevant Chronic Postsurgical Pain: A Multicenter Prospective Study

TypeobservationalSponsorUniversity Health Network, TorontoRan2012 to 2025Enrolled10,000ConditionsChronic Pain, Surgery
NCT05712980 unknown statusnot on this mapstarted 2023, after this paper: background citation

Identification of Differentially Expressed Genes in RNAseq Data of Patients With Failed Back Surgery Syndrome Treated With Different Modalities of Spinal Cord Stimulation: Looking for Biomarkers of Response and Effectiveness

TypeobservationalSponsorHospital General Universitario de ValenciaRan2023 to 2025Enrolled40ConditionsSpinal Cord Stimulation, Failed Back Surgery Syndrome, Genetic ChangeArmsImplanted pulse generator for SCS with different programming modalities
3 · Its place in the literature

Who cites it

123 citing papers in PubMed, 4 syntheses or guidelines pooled it, 249 citations in OpenAlex.

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  12. Large-Scale Plasma Proteomics to Profile Pathways and Prognosis of Chronic Pain.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  15. Sigma-1 Receptors Control Neuropathic Pain and Peripheral Neuroinflammation After Nerve Injury in Female Mice: A Transcriptomic Study.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2024
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63 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors at 13 institutions in 4 countries.

Michael CostiganF.M. Kirby Neurobiology Centre, Children’s Hospital Boston and Harvard Medical School, Boston, MA 02115, USA.
Inna Belfer
Robert S Griffin
Feng Dai
Lee B Barrett
Giovanni Coppola
Tianxia Wu
Carly Kiselycznyk
Minakshi Poddar
Yan Lu
Luda Diatchenko
Shad Smith
Enrique J Cobos
Dmitri Zaykin
Andrew Allchorne
Edith Gershon
Jessica Livneh
Pei-Hong Shen
Lone Nikolajsen
Jaro Karppinen
Minna Männikkö
Anthi Kelempisioti
David Goldman
William Maixner
Daniel H Geschwind
Mitchell B Max
Ze'ev Seltzer
Clifford J Woolf
Boston Children's Hospital · USUniversity of Pittsburgh · USUniversity of North Carolina at Chapel Hill · USUniversity of Oulu · FIHarvard University · USNational Institutes of Health · USUniversity of California, Los Angeles · USAarhus University Hospital · DKCenter for Information Technology · USNational Institute of Environmental Health Sciences · USNational Institute on Alcohol Abuse and Alcoholism · USToronto Centre for Phenogenomics · CAUniversity of Toronto · CA

Funding

Integrative genetics of behavior with high throughput technologiesZIAAA000301 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$68.6M
Risk Factors for Onset and Persistence of TMDU01DE017018 · NIDCR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DIATCHENKO, LUDA, FILLINGIM, ROGER B · 2005 to 2016
$35.9M
Vulvar Vestibulitis syndrome (VVS)P01NS045685 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ESSICK, GREGORY KENT · 2004 to 2014
$12.5M
ALTERED SENSIBILITY FOLLOWING PERIPHERAL NERVE DAMAGER01NS038253 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WOOLF, CLIFFORD J · 1999 to 2017
$8.2M
Statistical, population genetics and genetic epidemiologyZIAES101866 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI ZAYKIN, DMITRI V · 2009 to 2021
$5.8M
Tetrahydrobiopterin and painR01NS058870 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WOOLF, CLIFFORD J · 2008 to 2012
$2.0M
Intramural NIH HHSNIDCR NIH HHS U01 DE017018NINDS NIH HHS NS 058870NINDS NIH HHS P01 NS045685NINDS NIH HHS R01 NS038253NINDS NIH HHS R01 NS058870
6 · The paper itself

Abstract

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.

Indexed as

AnimalsChronic DiseaseCohort StudiesComprehensionComputational BiologyCross-Cultural ComparisonDisease Models, AnimalFemaleGanglia, SpinalGene Expression ProfilingGene Expression RegulationGenome-Wide Association StudyGenotypeHumansKv1.1 Potassium ChannelLinkage DisequilibriumKCNA1 protein, humanKv1.1 Potassium Channelneurofilament protein HNeurofilament ProteinsNeuropeptidesValine

Identifiers

PMID20724292
PMCPMC2929335
OpenAlexW2149756965

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.