ASSOCIATION BETWEEN µ‐OPIOID RECEPTOR‐1 102T>C POLYMORPHISM AND INTERMEDIATE TYPE 2 DIABETES PHENOTYPES: RESULTS FROM THE QUEBEC FAMILY STUDY (QFS)
Bibliographic record
Abstract
It has been suggested recently that molecules expressed both in the pancreas and hypothalamus, such as mu-opioid receptor 1 (OPRM1), could form an integrated brain-liver system, which may sense glucose levels and therefore contribute to the development of type 2 diabetes mellitus (T2DM). In the present study, we tested associations between OPRM1 gene polymorphisms (rs1799971, 102T/C and rs0648007G/A) and indices of glucose tolerance, insulin sensitivity (IS) and insulin secretion derived from plasma measures obtained in a fasting state and following a 75 g oral glucose tolerance test (OGTT) in 749 subjects from the Quebec Family Study (QFS). Polymorphisms were tested for association with glucose tolerance (normal vs IFG and T2DM combined) by calculating a chi(2) statistic and corresponding P values, whereas associations with quantitative measures of glucose tolerance, IS and insulin secretion were tested using mixed linear models implemented in the MIXED procedure of sas (SAS Institute, Cary, NC, USA). Associations were found between 102T/C OPRM1 and indices of glucose tolerance and IS. Compared with T/T homozygotes, carriers of the OPRM1 C-102 variant exhibited a better glucose tolerance with a lower (P = 0.006) glucose area under the curve (AUC) following the OGTT and a better IS with a higher (P = 0.03) value of the Cederholm index, a numerical index of the curve relating glucose uptake to the log(10) plasma insulin levels during the OGTT. The results of the present study reveal that the 102T/C OPRM1 gene polymorphism is associated with a better glucose tolerance and improved IS, both of which suggest a potential protective effect of this variant on T2DM risk.
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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 | 0.001 |
| 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".