β-Cell Dysfunction in Subjects With Impaired Glucose Tolerance and Early Type 2 Diabetes
Bibliographic record
Abstract
OBJECTIVE: Methods to assess beta-cell function in clinical studies are limited. The aim of the current study was to compare a direct measure of insulin secretion with fasting surrogate markers in relation to glucose tolerance status. RESEARCH DESIGN AND METHODS: In 1,380 individuals from the Insulin Resistance Atherosclerosis Study, beta-cell function was assessed using a frequently sampled intravenous glucose tolerance test (first-phase insulin secretion; acute insulin response [AIR]), homeostasis model assessment of beta-cell function (HOMA-B), proinsulin levels, and the proinsulin-to-insulin ratio. Beta-cell function was cross-sectionally analyzed by glucose tolerance categories (normal glucose tolerance [NGT], n = 712; impaired glucose tolerance [IGT], n = 353; newly diagnosed diabetes by 2-h glucose from an oral glucose tolerance test [OGTT] [DM2h], n = 80; newly diagnosed diabetes by fasting glucose [DMf], n = 135; or newly diagnosed diabetes by fasting and 2-h glucose and established diabetes on diet/exercise only [DM], n = 100). RESULTS: In Spearman correlation analyses, proinsulin and the proinsulin-to-insulin ratio were only modestly inversely related to AIR (r values from -0.02 to -0.27), and AIR was strongly related to HOMA-B (r values 0.56 and 0.58). HOMA-B markedly underestimated the magnitude of the beta-cell defect across declining glucose tolerance, especially for IGT and new DM by OGTT compared with AIR. Analyses adjusting for insulin sensitivity showed that beta-cell function was compromised in IGT, DM2h, DMf, and DM, relative to NGT, by 13, 12, 59, and 62% (HOMA-B) and by as much as 40, 60, 80, and 75%, using AIR. CONCLUSIONS: Subjects with IGT and early-stage, asymptomatic type 2 diabetic patients have more pronounced beta-cell defects than previously estimated from epidemiological studies using homeostasis model assessment.
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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) | 0.001 | 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".