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Record W4220752549 · doi:10.1101/2022.03.29.486276

Microtubule-Connexin-43 regulation suppresses arrhythmias and fibrosis in Duchenne muscular dystrophy mice

2022· preprint· en· W4220752549 on OpenAlexfundno aff
Eric Himelman, Julie Nouet, Mauricio A. Lillo, Alexander Chong Shu‐Chien, Xander H.T. Wehrens, George G. Rodney, Lai‐Hua Xie, Natalia Shirokova, Jorge E. Contreras, Diego Fraidenraich

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsnot available
FundersNational Institutes of HealthYork University
KeywordsConnexinDuchenne muscular dystrophyMicrotubuleMuscular dystrophyPhosphorylationFibrosismdx mouseColchicineCell biologyBiologyCardiomyopathyCytoskeletonMyopathyMyocardial fibrosisDystrophinCancer researchInternal medicineMedicineGap junctionHeart failureCellGenetics

Abstract

fetched live from OpenAlex

ABSTRACT Dilated cardiomyopathy is the leading cause of death in Duchenne muscular dystrophy (DMD) patients due to advancements in skeletal muscle therapies yet limited presence of cardiac treatments. The phosphorylation status of gap junction protein Connexin-43 (Cx43) drives Cx43 remodeling and the development of arrhythmias and fibrosis. Based on evidence that Colchicine drug treatment improves Cx43 phosphorylation and remodeling, we compared the microtubule cytoskeleton in DMD mice (mdx) versus mdx mice genetically altered to be Cx43-phosphorylation-deficient (mdxS3A). Reciprocally, we analyzed the microtubule cytoskeleton in mdx mice genetically altered to be Cx43-phospho-mimicking (mdxS3E). We found a link between the phospho-status of Connexin-43 and regulation of microtubule organization, in which phospho-dead Cx43 (S3A) inhibits improvements seen with Colchicine treatment in mdx mice, and phospho-mimic S3E promotes microtubule reorganization in mdx mice. A reduction in arrhythmias and fibrosis suggests an unsuspecting Cx43-microtubule link for translational corrective activities for DMD cardiomyopathy.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.582
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.008
GPT teacher head0.211
Teacher spread0.203 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

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