Loss-of-Function Mutations in <i>ABCA1</i> and Enhanced β-Cell Secretory Capacity in Young Adults
Bibliographic record
Abstract
Loss-of-function mutations affecting the cholesterol transporter ATP-binding cassette transporter subfamily A member 1 (ABCA1) impair cellular cholesterol efflux and are associated with reduced HDL-cholesterol (HDL-C) levels. ABCA1 may also be important in regulating β-cell cholesterol homeostasis and insulin secretion. We sought to determine whether loss-of-function ABCA1 mutations affect β-cell secretory capacity in humans by performing glucose-potentiated arginine tests in three subjects homozygous for ABCA1 mutations (age 25 ± 11 years), eight heterozygous subjects (28 ± 7 years), and eight normal control subjects pair-matched to the heterozygous carriers. To account for any effect of low HDL-C on insulin secretion, we studied nine subjects with isolated low HDL-C with no ABCA1 mutations (age 26 ± 6 years) and nine pair-matched control subjects. Homozygotes for ABCA1 mutations exhibited enhanced oral glucose tolerance and dramatically increased β-cell secretory capacity that was also greater in ABCA1 heterozygous subjects than in control subjects, with no differences in insulin sensitivity. Isolated low HDL-C subjects also demonstrated an increase in β-cell secretory capacity but in contrast to those with ABCA1 mutations, exhibited impaired insulin sensitivity, supporting β-cell compensation for increased insulin demand. These data indicate that loss-of-function mutations in ABCA1 in young adults may be associated with enhanced β-cell secretory capacity and normal insulin sensitivity and support the importance of cellular cholesterol homeostasis in regulating β-cell insulin secretion.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".