A Glycemic Threshold Above Which the Improvement of β-Cell Function and Glycemia in Response to Insulin Therapy Is Amplified in Early Type 2 Diabetes: The Reversal of Glucotoxicity
Bibliographic record
Abstract
OBJECTIVE: Alleviation of unrecognized glucotoxicity, with resultant recovery of β-cell function, could amplify the glucose-lowering effect of pharmacotherapy and contribute to the variable therapeutic response observed among patients with type 2 diabetes (T2D). However, clinical evidence supporting this concept is lacking. Short-term intensive insulin therapy (IIT) can ameliorate glucotoxicity and improve β-cell function in early T2D. Thus, for evidence of recovery of glucotoxicity-associated β-cell dysfunction, we sought to determine whether there exists a baseline fasting glucose threshold above which the post-IIT improvement in both β-cell function and glycemia is amplified. RESEARCH DESIGN AND METHODS: IIT (glargine, lispro) was administered for 3 weeks to 108 adults with T2D (mean duration 1.8 ± 1.4 years). Oral glucose tolerance tests before and after IIT enabled assessment of β-cell function by Insulin Secretion-Sensitivity Index-2 and insulinogenic index/HOMA-insulin resistance. For each level of baseline fasting glycemia from 6.0 to 10.5 mmol/L, we modeled the difference in IIT-induced percentage change in β-cell function between those at/above the indicated glucose level and those below it. RESULTS: The relationship between baseline fasting glucose and the differential change in β-cell function was nonlinear. Instead, this relationship was best fit by a cubic regression model with inflection (amplification) at fasting glucose at 9.3 mmol/L. Moreover, baseline fasting glucose at 9.3 mmol/L also identified the inflection point at which nonlinear reductions in fasting glucose and 2-h glucose, respectively, were both amplified. CONCLUSIONS: The respective improvements in β-cell function and glycemia in response to short-term IIT are amplified in those in whom baseline fasting glucose exceeds a defined threshold, consistent with reversal of glucotoxicity.
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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 | 0.001 |
| 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 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".