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Record W7133061874

The Role of Endothelial-Specific Intraflagellar Transport Protein 88 in Doxorubicin-Induced Cardiotoxicity

2020· dissertation· W7133061874 on OpenAlexfundno aff
Vincent Zhenkun Luu

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsIntraflagellar transportCiliumCardiotoxicityVacuolizationContractilityFunction (biology)CardiomyopathyCiliopathyFibrosis
DOInot available

Abstract

fetched live from OpenAlex

Doxorubicin (DOX) has been associated with cardiotoxicity resulting in heart failure. Previous studies focused on cardiomyocytes as therapeutic targets. However, there has been a shift of focus toward endothelial cells (ECs) due to its importance in cardioprotective processes. Recently, a role for EC primary cilia as central structures that govern EC function through downstream signaling upon blood flow stimulation was identified. Intraflagellar transport protein 88 (IFT88) is critical for ciliary formation. In our study, mice with EC-specific loss of IFT88 expression (EC-IFT88-/-) were utilized to investigate the role of EC primary cilia in DOX-induced cardiotoxicity. We observed greater DOX-induced mortality and reduced cardiac function in EC-IFT88-/- mice compared to wild-type (WT) littermates. Furthermore, weakened statistical power may have contributed to unobservable significant differences in CM vacuolization and cardiac fibrosis of DOX-treated EC-IFT88-/- and WT littermates. Thus, EC primary cilia may be involved with processes that are protective of DOX-induced cardiotoxicity.

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 score0.001
Threshold uncertainty score0.003

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.254
Teacher spread0.246 · 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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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