Dietary n-3 vs n-6 PUFA Differentially Modulate Macrophage-Myocyte Inflammatory Cross-Talk
Bibliographic record
Abstract
Skeletal muscle is the primary site for insulin-stimulated glucose uptake. In obesity, increased circulating inflammatory cytokines interfere with skeletal muscle insulin signaling, leading to local and whole-body insulin resistance (IR). Moreover, obese skeletal muscle is characterized by accumulation of infiltrated M1 macrophages and ensuing macrophage-myocyte paracrine interactions (cross-talk) contribute to local inflammation and IR. Such macrophage-myocyte inflammatory cross-talk provides a potential intervention target for anti-inflammatory nutrients, including dietary long-chain n-3 polyunsaturated fatty acids (PUFA). Using a co-culture model designed to mimic the degree of CD11b+ cell accumulation in obese skeletal muscle (40% of immune cells), differentiated L6 myocytes were co-cultured with purified splenic CD11b+ cells from male Sprague Dawley rats (7-wk old) consuming one of three isocaloric diets: i) high-fat (HF; 54% kcal lard, 6% kcal soybean oil), ii) high-fat with n-3 PUFA (HFn-3; 39% kcal lard + 15% kcal menhaden oil + 6% kcal soybean oil) or iii) high-fat with n-6 PUFA (HFn-6; 45% kcal lard + 15% kcal soybean oil) for 2, 8 or 12-wk (n = 8–12/diet). Co-cultures were stimulated for 24 h with lipopolysaccharide (LPS, 10 ng/mL) to mimic in vivo obese endotoxin levels. CD11b+ cells were also cultured alone for 24 h in conditioned media collected from L6 myocytes stimulated with LPS for 24 h (LCM). In co-cultures, HFn-6 increased mRNA expression of inflammatory markers compared to HF and HFn-3 at 8- (iNos; P ≤ 0.05) and 12-wk (Tnf-α, Il-6, Il-1β; P ≤ 0.05). Similarly, at 8-wk CD11b+ cells from HFn-6 rats that were treated with LCM, had increased mRNA expression of inflammatory cytokines (Tnf-α, Il-1β) and M1 polarization markers (iNos, Cd86) compared to both HF and HFn-3, and the same effects were seen with Il-6 and Il-1β at 12-wk (P ≤ 0.05). Lastly, HFn-3 reduced mRNA expression of Tnf-α compared to HF at 12-wk (P ≤ 0.05). Together, these data suggest that n-6 PUFA support macrophage-myocyte inflammatory cross-talk, in part by promoting M1 macrophage polarization. Further, these data provide mechanistic insight into the benefits of n-3 vs n-6 PUFA inclusion in a high-fat diet in mitigating skeletal muscle inflammation in obesity. Natural Sciences and Engineering Research Council (NSERC) of Canada.
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 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) | 0.001 | 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 | 0.000 | 0.001 |
| 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".