1586-P: Post-OGTT Low Blood Glucose in Individuals with Metabolic Syndrome, Metabolic Phenotypes, and Metabolic-Associated Fatty Liver Disease
Bibliographic record
Abstract
Introduction: Post-prandial low blood glucose (LBG) is usually associated with late postprandial hyperinsulinemia in metabolic syndrome (MetS), but have not been well studied. Objectives: We aimed to 1) characterize insulin/glucose metabolism associated with LBG post 75g OGTT in a sample of individuals with MetS; and 2) assess the association between MAFLD (≥ 5% liver fat at MRI) and LBG. Methods: Plasma glucose, insulin and c-peptide concentrations were measured on OGTT over 180 mins. Insulin sensitivity and secretion were assessed with the Oral Minimal Model. During OGTT, we defined glucose ≤ 50 mg/dl as LBG, glucose > 70 mg/dl as no LBG and glucose 51-70 mg/dl as undefined status and were excluded from this analysis. Results: Of 82 participants, 50 were included and 15 (18 %) experienced LBG. Of the 33 participants who underwent MRI, 48% had MAFLD. Median age and BMI were 59 [IQR: 49-74] years and 28 [IQR: 26-31] kg/m2 respectively. Women represented 70% (n=35) of participants and experienced less LBG (p=0.0002) than men. Individuals experiencing LBG had higher insulin sensitivity (p=0.02), higher ß cell function (p=0.03), earlier glucose peaks (p<0.0001) and lower c-peptide peaks (p=0.007) than those without LBG. MAFLD was not associated with more LBG (p=0.7), but was associated with a different insulin curve. LBG+MAFLD status was associated with higher and later c-peptide and insulin levels compared to LBG without MAFLD status. Conclusion: In contrary to our hypothesis, individuals with MetS without MAFLD experiencing glucose ≤ 50 mg/dl during OGTT displayed a healthier metabolic profile. However, individuals with MAFLD experiencing a LBG during OGTT had a glucose phenotype similar to the late post-prandial hyperinsulinemic hypoglycemia often found in prediabetes state and associated with worst metabolic parameters. This suggests that MAFLD may be an important feature of MetS associated with a different post-OGTT glucose metabolism. Disclosure T.Gignac: None. A.Morissette: None. A.Agrinier: None. C.Gagnon: Advisory Panel; Novo Nordisk, Other Relationship; Ascendis Pharma A/S, Research Support; Novo Nordisk. M.Vohl: None. A.Marette: Advisory Panel; Valbiotis, Amancia, Plexus, Acasti. A.Carreau: Advisory Panel; Novartis, Consultant; Valbiotis, Speaker's Bureau; Novo Nordisk Canada Inc.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".