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Record W4391873197 · doi:10.1093/jcag/gwad061.050

A50 PRODUCTION OF A PANCREATIC AND INTESTINAL HEPATOCYTE NUCLEAR FACTOR 4A DOUBLE KNOCKOUT MOUSE MODEL TO UNRAVEL NEW MECHANISMS CONTROLLING METABOLISM

2024· article· en· W4391873197 on OpenAlexaffabout
Nicklaus Rodriguez, A Di Castro, Christine M. Jones, D Pupo Gómez, François Boudreau

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsKnockout mouseHepatocyteMetabolismCell biologyHepatocyte growth factorProduction (economics)BiologyChemistryBiochemistryGeneReceptorIn vitro

Abstract

fetched live from OpenAlex

Abstract Background Hepatocyte nuclear factor (HNF) 4A is a transcription factor mainly found within endodermal organs, including the intestine and pancreas. HNF4A controls the expression of genes associated with glucose transit, glycolytic enzymes, lipid and drug metabolism, and incretin production from intestinal enteroendocrine cells. Mutations within this are linked to various diseases, including maturity-onset diabetes of the young and increased risk of Type 2 diabetes mellitus. However, it remains unclear whether intestinal and pancreatic HNF4A is functionally involved in glucose metabolism. This could be partly due to the lack of suitable experimental model that allow recreating phenotypes associated with hnf4a lost in two key organs involved in controlling body glucose levels. Aims To generate a conditionally mutant mouse line that does not express HNF4A in the intestine or the pancreas and to investigate how glucose metabolism is affected in these mice. Methods Conditional deletion in each organ was achieved by mating VillinCre or InsCreER with Hnf4αloxP/loxP C57BL/6 mice, respectively. The mutant mouse line was then generated by crossing mice Hnf4αloxP/loxP+VillinCre and Hnf4αloxP/loxP+InsCreER. PCR was performed to confirm all genotypes. Male and female mice around 2-3 months were distributed in four groups, including controls, Hnf4α-deleted intestine only, Hnf4α-deleted pancreas only, and Hnf4α-deleted in both organs. HNF4A expression was measured by qPCR, immunoblot and immunofluorescence. Glucose metabolism tests, including oral glucose tolerance (2g/kg) and insulin tolerance (0.75 International Units/kg) were performed. The blood glucose levels were measured after overnight fasting at 15, 30, 60, and 120 min. Results The body weight of four groups of mice remained comparable over experimental time. HNF4A expression was not detected from double mutant mice’s gut epithelial or pancreatic β cells. The oral glucose challenge showed a difference among the group of experimental mice as compared to the control group. After 15 min, blood glucose values of double mutant mice remained higher than control mice, for which glucose clearance was less efficient in the mutants. Insulin tolerance tests demonstrated that double mutant mice behave differently than control mice, suggesting a defect in insulin response. Conclusions These promising preliminary results allow us to obtain and characterize a novel murine model to study glucose metabolic syndrome that could be related to hnf4a gene deletion in both the gut and pancreas. Further studies are needed to establish a mechanism by which the HNF4A transcription factor could interplay between the intestine and the pancreas during whole-body glucose metabolism. Funding Agencies CIHRBourses d’excellence de l'Université de Sherbrooke

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)0.001
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 score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.017
GPT teacher head0.235
Teacher spread0.218 · 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
Published2024
Admission routes2
Has abstractyes

Explore more

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