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Record W4232216688 · doi:10.1172/jci200522365

The MODY1 gene HNF-4α regulates selected genes involved in insulin secretion

2005· article· en· W4232216688 on OpenAlexaff
Rana K. Gupta, Marko Z. Vatamaniuk, Catherine S. Lee, Reed C. Flaschen, James Fulmer, Franz M. Matschinsky, Stephen A. Duncan, Klaus H. Kaestner

Bibliographic record

VenueJournal of Clinical Investigation · 2005
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsInstitute of Nutrition, Metabolism and Diabetes
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesUniversity of Pennsylvania
KeywordsEndocrinologyInternal medicineBiologyGlucose homeostasisHyperinsulinemiaInsulinHepatocyte nuclear factorsPotassium channelBeta cellConditional gene knockoutMaturity onset diabetes of the youngPhenotypeGeneCell biologyIsletGene expressionDiabetes mellitusType 2 diabetesGeneticsInsulin resistanceMedicine

Abstract

fetched live from OpenAlex

Mutations in the gene encoding hepatocyte nuclear factor-4α (HNF-4α) result in maturity-onset diabetes of the young (MODY). To determine the contribution of HNF-4α to the maintenance of glucose homeostasis by the β cell in vivo, we derived a conditional knockout of HNF-4α using the Cre-loxP system. Surprisingly, deletion of HNF-4α in β cells resulted in hyperinsulinemia in fasted and fed mice but paradoxically also in impaired glucose tolerance. Islet perifusion and calcium-imaging studies showed abnormal responses of the mutant β cells to stimulation by glucose and sulfonylureas. These phenotypes can be explained in part by a 60% reduction in expression of the potassium channel subunit Kir6.2. We demonstrate using cotransfection assays that the Kir6.2 gene is a transcriptional target of HNF-4α. Our data provide genetic evidence that HNF-4α is required in the pancreatic β cell for regulation of the pathway of insulin secretion dependent on the ATP-dependent potassium channel.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.715

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
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)0.0000.000

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 head0.064
GPT teacher head0.342
Teacher spread0.278 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations191
Published2005
Admission routes1
Has abstractyes

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