Exploring O‐GlcNAc modification of whole blood in healthy young adult males: relation to insulin sensitivity, anthropometric and metabolic markers (767.4)
Bibliographic record
Abstract
Abnormal O‐linked‐β‐N‐acetyl glucosamine glycosylation (O‐GlcNAc) has been increasingly published in relation to several chronic diseases including diabetes. Aims were to examine the relationship between anthropometric and metabolic markers and global protein O‐GlcNAc in whole blood from young adult male subjects participating in the Assessing Inherited Markers of Metabolic Syndrome in the Young (AIMMY) study. Subjects (n=24, 24±0.8y) were segregated by homeostatic model assessment score (HOMA‐IR); low (LH=0.60) or high (HH=1.61). No difference in body mass index (BMI), glucose or Hemoglobin a1c were found between groups. However, groups differed in % body fat, plasma triglycerides, and circulating insulin. Whole blood O‐GlcNAc levels and OGT modification were quantified by immunoblotting. Results demonstrated an increase in O‐GlcNAc modification in LH compared to HH (p=0.02) along with a strong positive correlation between HOMA‐IR and O‐GlcNAc (r=0.68, p<0.05). This effect was not related to differences in OGT expression. Quantifying differences in O‐GlcNAc levels of whole blood may detect metabolic disturbances present in a young healthy population free of any clinical pathological diagnosis.
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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 | 0.000 | 0.000 |
| 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".