Evidence map›Paper›PMID 32845893›Full record

ArticlePloS one2020

Variable patterns of mutation density among NaV1.1, NaV1.2 and NaV1.6 point to channel-specific functional differences associated with childhood epilepsy.

Alejandra C Encinas, Joseph C Watkins, Iris Arenas Longoria, J P Johnson, Michael F Hammer

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Calmodulin Interactions with Voltage-Gated Sodium Channels.International journal of molecular sciences · 2021
    Review
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alejandra C EncinasGraduate Program in Genetics, University of Arizona, Tucson, Arizona, United States of America.
Joseph C WatkinsDepartment of Mathematics, University of Arizona, Tucson, Arizona, United States of America.
Iris Arenas LongoriaDepartment of Mathematics, University of Arizona, Tucson, Arizona, United States of America.
J P JohnsonXenon Pharmaceuticals, Burnaby, BC, Canada.
Michael F HammerDepartment of Neurology, University of Arizona, Tucson, Arizona, United States of America.ORCID 0000-0003-0172-429X

Funding

Computational and Mathematical Modeling of Biomedical SystemsT32GM084905 · NIGMS · UNIVERSITY OF ARIZONA · PI SECOMB, TIMOTHY W. · 2009 to 2018
$2.2M
NIGMS NIH HHS T32 GM084905
6 · The paper itself

Abstract

Variants implicated in childhood epilepsy have been identified in all four voltage-gated sodium channels that initiate action potentials in the central nervous system. Previous research has focused on the functional effects of particular variants within the most studied of these channels (NaV1.1, NaV1.2 and NaV1.6); however, there have been few comparative studies across channels to infer the impact of mutations in patients with epilepsy. Here we compare patterns of variation in patient and public databases to test the hypothesis that regions of known functional significance within voltage-gated sodium (NaV) channels have an increased burden of deleterious variants. We assessed mutational burden in different regions of the Nav channels by (1) performing Fisher exact tests on odds ratios to infer excess variants in domains, segments, and loops of each channel in patient databases versus public "control" databases, and (2) comparing the cumulative distribution of variant sites along DNA sequences of each gene in patient and public databases (i.e., independent of protein structure). Patient variant density was concordant among channels in regions known to play a role in channel function, with statistically significant higher patient variant density in S4-S6 and DIII-DIV and an excess of public variants in SI-S3, DI-DII, DII-DIII. On the other hand, channel-specific patterns of patient burden were found in the NaV1.6 inactivation gate and NaV1.1 S5-S6 linkers, while NaV1.2 and NaV1.6 S4-S5 linkers and S5 segments shared patient variant patterns that contrasted with those in NaV1.1. These different patterns may reflect different roles played by the NaV1.6 inactivation gate in action potential propagation, and by NaV1.1 S5-S6 linkers in loss of function and haploinsufficiency. Interestingly, NaV1.2 and NaV1.6 both lack amino acid substitutions over significantly long stretches in both the patient and public databases suggesting that new mutations in these regions may cause embryonic lethality or a non-epileptic disease phenotype.

Indexed as

Amino Acid SubstitutionBase SequenceBrainEpilepsyGenetic VariationHumansIon Channel GatingMembrane PotentialsMutationNAV1.1 Voltage-Gated Sodium ChannelNAV1.2 Voltage-Gated Sodium ChannelNAV1.6 Voltage-Gated Sodium ChannelPatch-Clamp TechniquesSequence Analysis, DNANAV1.1 Voltage-Gated Sodium ChannelNAV1.2 Voltage-Gated Sodium ChannelNAV1.6 Voltage-Gated Sodium ChannelSCN1A protein, humanSCN8A protein, human

Identifiers

PMID32845893
PMCPMC7449494

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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.