Hepatic Insulin Resistance Is an Early Determinant of Declining β-Cell Function in the First Year Postpartum After Glucose Intolerance in Pregnancy
Bibliographic record
Abstract
OBJECTIVE The increased risk of type 2 diabetes in women with glucose intolerance in pregnancy is mediated by deterioration of their β-cell function, which occurs as early as the first year postpartum. We thus sought to identify early determinants of their declining β-cell function. RESEARCH DESIGN AND METHODS Women with recent gestational glucose intolerance (166) underwent oral glucose tolerance test at 3 and 12 months postpartum. They were stratified into those in whom β-cell function (Insulin Secretion-Sensitivity Index-2 [ISSI-2]) declined over this time (decliners; n = 92) and those in whom it did not (nondecliners; n = 74). RESULTS Between 3 and 12 months, hepatic insulin sensitivity (1/homeostasis model assessment of insulin resistance [HOMA-IR]) decreased in decliners but not in nondecliners. Over this time, the change in 1/HOMA-IR emerged as an independent predictor of the change in ISSI-2 (t = 5.5; P < 0.0001). Increased hepatic insulin sensitivity independently predicted a lower likelihood of declining β-cell function (odds ratio = 0.13 [95% CI 0.06-0.29]; P < 0.0001). CONCLUSIONS Hepatic insulin resistance is an early determinant of declining β-cell function after gestational dysglycemia.
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 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 | 0.000 | 0.003 |
| 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) | 0.001 | 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".