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Record W2794273146 · doi:10.1093/jcag/gwy009.099

A99 RESCUING TTC7A MUTANT PHENOTYPES ASSOCIATED WITH VERY EARLY ONSET INFLAMMATORY BOWEL DISEASE (VEO-IBD)

2018· article· en· W2794273146 on OpenAlexaffabout
Sasha Jardine, Gabriella Leung, Conghui Guo, Ryan Murchie, Neel Dhingani, Neil Warner, Jingyi Pan, Aleixo M. Muise

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsPhenotypeInflammatory bowel diseasePhenotypic screeningBiologyZebrafishDiseaseMedicineImmunologyBioinformaticsGeneticsInternal medicineGene

Abstract

fetched live from OpenAlex

Very early onset inflammatory bowel disease (VEOIBD) is a severe disease presenting in children <6 years. Patients with TTC7A mutations present with apoptotic enterocolitis, disrupted intestinal architecture, multiple intestinal atresias, and/or combined immunodeficiency. There are few effective treatment options for these patients, and infant fatality is common. Rare autosomal recessive variants for tetratricopeptide repeat domain 7A (TTC7A) have been uncovered in the most severe forms of VEOIBD. The role of TTC7A in the pathogenesis of VEOIBD is largely unknown. The rising prevalence of IBD in Canada is driven by the rapidly increasing incidence (~60%) in children. Compounded with poor responses to standard IBD therapies, the need for therapies motivates researchers to seek effective treatment options. We hypothesize that TTC7A dysfunction results in aberrant intestinal phenotypes related to VEO-IBD. My research aim is to define TTC7A mutant phenotypes in cell-based and zebrafish models; thus, allowing for phenotypic screening and discovery of drugs for use in clinical settings. The overall research goal is to identify compounds that can rescue aberrant phenotypes induced by the TTC7A defect via high throughput drug screening. Since research on TTC7A’s function is scarce, identifying drugs with known targets may provide some insight into TTC7A’s cellular functions, and in VEO-IBD as a whole. Mutant phenotypes were characterized using CRISPR engineered TTC7A knockout HAP1 cells. Assays revolving around apoptosis and cell adhesion were used in a manner amenable to high throughput screening (HTS). For example, 96-well fluorescent and luminescent assays using caspase 3 /7 luciferases. TTC7A mutant zebrafish with fluorescently stained GI tracts allowed for peristaltic activity analyses. HTS using libraries containing FDA approved drugs identified drugs that could rescue TTC7A-related aberrant phenotypes Aberrations in a range of phenotypes were observed in TTC7A in vitro models including round and small morphologies, altered f-actin organization, poor adhesion, compromised viability, and increased susceptibility to apoptosis. Homozygous TTC7A zebrafish show reduced gut motility, narrow intestinal lumens, and increased apoptotic cells. Drug screening has identified several (hits) drugs capable of rescuing TTC7A phenotypes. These drugs will be validated in orthogonal assays as well as in patient derived intestinal organoids. Defining the TTC7A mutant phenotype has provided targets for identifying drugs for use in clinical settings. Furthermore, these findings could elucidate the functional pathways of this relatively uncharacterized protein. Drugs capable of rescuing TTC7A defects could increase patient prognosis and uncover functional pathways contributing to VEOIBD. CIHR

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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.004
GPT teacher head0.191
Teacher spread0.187 · 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
Published2018
Admission routes2
Has abstractyes

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