<i>DUSP1</i> gene polymorphisms are associated with obesityrelated metabolic complications and gene methylation levels in severely obese patients
Bibliographic record
Abstract
DUSP1 is a member of the dual‐specificity phosphatase family involved in the regulation of innate immune function and inflammation. In a previous study, DUSP1 gene was found to be underexpressed in visceral adipose tissue from severely obese men with the metabolic syndrome. Objective To verify the association between DUSP1 polymorphisms, gene expression and methylation levels and obesity‐related metabolic complications. Methods Association of tagging SNPs (tSNPs) with obesity‐related complications was tested in a cohort of 1900 severely obese individuals. Impact of tSNPs on CpG site methylation and correlations between DNA methylation and gene expression were computed in a subset of 14 samples. Results Following adjustment for the effects of age, sex and BMI, heterozygotes for rs881150 had lower HDL‐cholesterol levels and homozygotes for rs13184134 and rs7702178 had increased fasting glucose levels. rs13184134 was associated with methylation levels of CpG sites located ~1800 bp upstream the transcription start site. Methylation levels for 3 CpG sites located in this region were inversely correlated with DUSP1 gene expression. Conclusion These results suggest that polymorphisms in DUSP1 modulate plasma glucose and HDL‐cholesterol levels in obese patients potentially through alterations of gene methylation and expression. Funding: CIHR
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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 | 0.001 |
| 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) | 0.002 | 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".