Abstract 458: Omega-3 Supplementation Does Not Affect Inflammatory Gene Expression in the Small Intestine of Patients with Type 2 Diabetes
Bibliographic record
Abstract
Recent evidence suggests that diet-induced inflammation in the small intestine is linked to obesity and insulin resistance. Long-chain omega-3 polyunsaturated fatty acids (LCn-3PUFA) such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) have been shown to have anti-inflammatory effects by down-regulating inflammatory gene expression in adipocytes and mononuclear cells. However, the extent to which EPA and DHA may exert their anti-inflammatory effects by down-regulating inflammation in the gut is unknown. The objective of the study was to investigate the impact of EPA+DHA supplementation on the expression of inflammatory genes in the small intestine of patients with type 2 diabetes. A total of 12 men with type 2 diabetes were recruited in this placebo-controlled randomized crossover study. After a 4-week run-in period, patients received in random sequence 5 g/d of fish oil providing 3 g of EPA+DHA or placebo (corn and soybean oil) for 8 weeks, each separated by a 12-week washout period. Gene expression was assessed by real-time PCR in duodenal biopsy samples obtained in the fasted state at the end of each treatment phase. Intestinal mRNA expression levels for interleukin(IL)-6 and tumor-necrosis factor(TNF)-α were hardly detectable after either treatment (< 100 copies/10^5 copies of the reference gene ATP synthase O subunit, ATP5o). Intestinal mRNA expression of IL-18 and of the transcription factor STAT3 (signal transducer and activator of transcription 3) was higher (> 5000 copies/10^5 copies ATP5o) but still relatively low and EPA+DHA supplementation had no impact on any of these levels (P ≥ 0.73 between treatments). Plasma C-reactive protein (CRP) concentrations after supplementation with EPA+DHA (5.2 ± 4.5 mg/L) were not significantly different than values measured after placebo (8.0 ± 10.8 mg/L, P = 0.2). In conclusion, these data suggest that gene expression of pro-inflammatory cytokines and STAT3 in duodenal cells is low in patients with type 2 diabetes and not affected by EPA+DHA supplementation.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".