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Abstract 17292: Long QT Syndrome Variant 3 Patient Derived Induced Pluripotent Stem Cells: Novel and Critical Platform for Drug Screening

2011· article· en· W124742025 on OpenAlexaff
Cécile Terrenoire, George K. Wang, Gordon Keller, Darrell N. Kotton, Robert S. Kass

Bibliographic record

VenueCirculation · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineInduced pluripotent stem cellDrugLong QT syndromeStem cellPharmacologyIntensive care medicineInternal medicineGeneticsEmbryonic stem cellQT intervalGene

Abstract

fetched live from OpenAlex

Congenital LQTS is a heritable family of arrhythmias caused by mutations in 12 genes coding for ion channels or ion channel associated proteins. Variant 3 (LQT-3) is caused by mutations in SCN5A, the gene coding for the α subunit of the primary cardiac Na+ channel. Based primarily on studies in heterologous expression systems, a mutation-specific pharmacology has proven useful in which drugs such as Mexiletine that preferentially inhibit mutation-induced late Na+ channel current (INaL), have been shown to be effective as therapeutic agents in the treatment of LQT-3. Here we isolated cardiomyocytes derived from human induced pluripotent stem cells (hiPSC-CMs) produced by lentiviral reprograming of skin fibroblasts from three individuals in a LQT-3 family: a proband carrying a de novo SCN5A mutation (INa_F1473C) and the proband's parents who carried wild type (WT) Na+ channels. Whole-cell patch clamp recordings were used to characterize INa properties in the three subjects: INa_F1473C channels failed to completely inactivate during 100ms-depolarizing pulses (INaL) in the action potential plateau voltage range, and were characterized by steady state inactivation that was significantly shifted in the depolarizing direction compared with WT channels. These properties agree well with those determined previously of the same mutation in HEK293 cells and are consistent with mutation-induced QT interval prolongation in the proband. Based on HEK cell experiments, we previously reported that mutation-induced Na+ channel dysfunction was corrected by 50 µM Mexiletine, a result confirmed for the mutant channels expressed in hiPSC-CMs. However, we find that the same Mexiletine concentration significantly inhibits two off target channel currents ICaL and IKr, results that could not be obtained from heterologous expression studies. These results, establish the critical importance of hiPSC-CMs not only as mechanistic models of channelopathies such as LQTS, but as important and unique platforms for screening drugs, for both effectiveness in correcting mutation-induced dysfunction and also for target specificity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.055
GPT teacher head0.268
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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