Differential Methylation Of Inflammatory And Insulinotropic Genes After Metabolic Surgery In Women
Bibliographic record
Abstract
Context: Biliopancreatic diversion with duodenal switch (BPD-DS), a metabolic \nbariatric operation, induces durable loss of excess weight and reduced \ncardiometabolic risk. Altered epigenetic marks are mechanistically associated with \nenvironment-driven phenotypic variations. \nObjective: The current study aimed to compare gene methylation levels before \nand after BPD-DS to identify epigenetic marks potentially linked to metabolic \nimprovements induced by BPD-DS. \nDesign and patients: Metabolic risk factors and gene methylation levels of 20 \nwomen studied mean 12 years (range 4-22) after BPD-DS were compared to those \nof 20 severely obese surgical candidates as controls, matched for pre-surgical age, \nbody mass index and dyslipidemia and hypertension prevalences. Whole-genome \nblood DNA methylation analysis enabled between-group differential methylation \nanalyses. We calculated correlations between methylation levels of the most \ndifferentially methylated CpG sites and plasma glucose and insulin levels and \nHOMA-IR. \nResults: Differential methylation analysis identified 15,343 genes demonstrating \nat least one differentially methylated CpG site (p<1.43x10-7). “Diabetic” and \n“inflammation/immune” functions were among the most overrepresented from \nthe 200 genes exhibiting the largest group differences in methylation levels. CpG \nsites methylation levels of genes related to insulin action correlated significantly \nwith fasting insulin levels and homeostatic model of insulin resistance (p≤0.002 \nfor all). \nConclusion: These findings suggest that differential methylation levels in obese \ncontrols versus treated women may partially explain the durable metabolic \nimprovements after BPD-DS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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 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".