Exploring the role of the <i>HNF-1α</i>G319S polymorphism in β cell failure and youth-onset type 2 diabetes: Lessons from MODY and <i>Hnf-1α</i>-deficient animal models
Bibliographic record
Abstract
The prevalence of youth-onset type 2 diabetes (T2D) is rapidly increasing worldwide, disproportionately affecting Indigenous youth with Oji-Cree heritage from central Canada. Candidate gene screening has uncovered a novel and private polymorphism in the Oji-Cree population in the hepatocyte nuclear factor-1 alpha (HNF-1α) gene, where a highly conserved glycine residue at position 319 is changed to a serine (termed HNF-1αG319S or simply G319S). Oji-Cree youth who carry one or two copies of the "S-allele" present at diagnosis with less obesity, reduced indicators of insulin resistance, and lower plasma insulin levels at diagnosis, suggestive of a primary defect in the insulin-secreting β cells. Few studies on the impact of the HNF-1αG319S variant on β cell function have been performed to date; however, much can be learned from other clinical phenotypes of HNF-1α-deficiency, including HNF-1α mutations that cause maturity-onset diabetes of the young 3 (MODY3). In addition, evaluation of Hnf-1α-deficient murine models reveals that HNF-1α plays a central role in the regulation of insulin secretion by regulating the expression of key genes involved in β cell glucose-sensing, mitochondrial function, and the maintenance of the β cell phenotype in differentiated β cells. The overall goal of this minireview is to explore the impact of HNF-1α-deficiency on the β cell to better inform future research into the mechanisms of β cell dysfunction in Oji-Cree youth with T2D.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".