Visceral adipose tissue DNA methylation at dipeptidyl peptidase‐4 gene locus is associated with gene expression and plasma lipid levels in severe obesity
Bibliographic record
Abstract
Dipeptidyl peptidase‐4 (DPP4) is overexpressed in visceral adipose tissue of severely obese subjects with the metabolic syndrome (MS) as compared to those without MS. Aim To test whether methylation of DPP4 is associated with DPP4 mRNA levels and MS‐phenotypes. Methods Greater omentum fat tissue DNA was extracted in 92 severely obese women undergoing biliopancreatic derivation to treat morbid obesity. Women were premenopausal, non‐diabetic and not taking medications to treat MS features. Cytosine methylation levels (%) in DPP4 CpG island (Human build 36.3; chr2: 162638045‐162639319 reverse strand) was assessed by pyrosequencing of sodium bisulfite treated DNA. Results Mean methylation levels of combined CpG sites no.94–102 (%Meth) were calculated. The %Meth correlated negatively with DPP4 mRNA levels (r=0.25, p<0.05). Subjects with %Meth corresponding to the second tertile had lower total‐ and LDL‐cholesterol levels (PANOVA<0.05; adjusted for age, smoking, body mass index). Conclusions In visceral adipose tissue of severely obese women, lower methylation levels of specific DPP4 CpG sites were associated with higher mRNA levels. Methylation levels were also associated with blood lipids. Grant Funding Source : Canadian Institutes of Health Research
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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".