Effects of a Supplementation of n-3 Polyunsaturated Fatty Acids with or without Fish Gelatin on Gene Expression in Peripheral Blood Mononuclear Cells in Obese, Insulin-Resistant Subjects
Bibliographic record
Abstract
AIM: To investigate gene expression changes in peripheral blood mononuclear cells (PBMCs) following an n-3 polyunsaturated fatty acid (PUFA) and n-3 PUFA plus fish gelatin (+FG) supplementation. METHODS: A transcriptome comparison of 8-week supplementation with n-3 PUFA and n-3 PUFA+FG was carried out in PBMCs of 16 obese insulin-resistant subjects. RESULTS: Erythrocyte n-3 PUFA concentration increased and plasma triglycerides decreased significantly without altering inflammatory parameters after both supplementations. n-3 PUFA supplementation changed the expression of 805 genes, whereas n-3 PUFA+FG supplementation altered the expression of 184 genes. Three genes were commonly changed: fatty acid desaturase 1, free fatty acid receptor 3, and ectodysplasin. Pathway analyses indicate changes in gene expression via the nuclear receptor peroxisome proliferator-activated receptor α pathway after both supplementations. Further, the extent of modifications in the expression of genes implicated in the inflammatory pathways - the oxidative stress response mediated by nuclear factor (erythroid-derived 2)-like 2, nuclear transcription factor κB, oxidative stress, and hypoxia-inducible factor signaling - was different after each supplementation. CONCLUSION: Although n-3 PUFA and n-3 PUFA+FG supplementations have a distinct impact on gene expression levels, the consequences on biochemical parameters and metabolic pathways were comparable after both supplementations.
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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".