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A potential role for T-type calcium channels in homocysteinemia-induced peripheral neuropathy

2019· article· en· W2964932407 on OpenAlexafffund
Aisylu Gaifullina, Joanna Łaźniewska, Elena Gerasimova, Gulshat Burkhanova, Yuriy Rzhepetskyy, Andriy Tomin, Paula Rivas-Ramírez, Junting Huang, Leoš Cmarko, Gerald W. Zamponi, Г. Ф. Ситдикова, Norbert Weiss

Bibliographic record

VenuePain · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsHomocysteinePeripheral neuropathyAllodyniaCalciumVoltage-dependent calcium channelNociceptionEndocrinologyPeripheralInternal medicineChemistryMedicineHyperalgesiaReceptor

Abstract

fetched live from OpenAlex

Homocysteinemia is a metabolic condition characterized by abnormally high level of homocysteine in the blood and is considered to be a risk factor for peripheral neuropathy. However, the cellular mechanisms underlying toxic effects of homocysteine on the processing of peripheral nociception have not yet been investigated comprehensively. Here, using a rodent model of experimental homocysteinemia, we report the causal association between homocysteine and the development of mechanical allodynia. Homocysteinemia-induced mechanical allodynia was reversed on pharmacological inhibition of T-type calcium channels. In addition, our in vitro studies indicate that homocysteine enhances recombinant T-type calcium currents by promoting the recycling of Cav3.2 channels back to the plasma membrane through a protein kinase C-dependent signaling pathway that requires the direct phosphorylation of Cav3.2 at specific loci. Altogether, these results reveal an unrecognized signaling pathway that modulates the expression of T-type calcium channels, and may potentially contribute to the development of peripheral neuropathy associated with homocysteinemia.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.254
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations31
Published2019
Admission routes2
Has abstractyes

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