Breastmilk with a high omega‐6 to omega‐3 fatty acid ratio induced cellular events similar to insulin resistance and obesity in 3T3‐L1 adipocytes
Bibliographic record
Abstract
BACKGROUND: An imbalance of omega (n)-3 and n-6 polyunsaturated fatty acids (PUFA) during critical periods of development may have adverse effects on the health of the newborn in later life. OBJECTIVES: We hypothesized that breastmilk with higher n-6 to n-3 PUFA ratio will have higher inflammatory cytokines and initiate cellular events similar to insulin resistance and obesity. METHODS: Breastmilk was collected from healthy women who gave natural birth at full term. Breastmilk fatty acids were measured using gas chromatography; samples were pooled based on the n-6 to n-3 PUFA ratio (high, medium and low), and soluble cytokines were measured. Pooled samples were used to treat 3T3-L1 cells; mRNA expression of diacylglycerol acyltransferase2, stearoyl-CoA desaturase-1, leptin and RPLPO was measured. RESULTS: Breastmilk with a higher ratio of n-6 to n-3 PUFA showed higher pro-inflammatory cytokines; there was a direct correlation between n-6 PUFA and pro-inflammatory cytokines. Breastmilk with a higher ratio of n-6 to n-3 PUFA increased the expression of genes involved in lipogenesis. CONCLUSIONS: Pro-inflammatory cytokines in breastmilk are associated with higher levels of n-6 PUFA in breastmilk and has the capacity to alter adipose tissue metabolism to likely predispose the newborn to a higher risk of obesity in later life.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".