Dietary Manganese Modulates Microbiota and Intestinal <i>N</i> ‐Acylethanolamines in a Sex‐Specific Manner in Mice With Diet‐Induced Obesity
Bibliographic record
Abstract
Obesity is characterized by low-grade inflammation, changes in gut microbiota, and increased tone of the expanded endocannabinoid system (eCBome). The gut is a complex ecosystem that serves as an interface between the diet and its ultimate conversion to nutrients and energy for all cells of the organism. Manganese (Mn) is an essential micronutrient from the diet required for normal cell function and physiological processes. Moreover, it is an indispensable trace mineral for some microbial species since it is a cofactor in several metabolic enzymes. Therefore, we aimed to identify possible interactions between gut microbiota composition and the eCBome during dietary variations of Mn in the context of diet-induced obesity. Female and male mice were fed Mn-depleted and Mn-enriched diets in combination with Low Fat-Low Sucrose (LFLS) or High Fat-High Sucrose (HFHS) diets for 28 days to assess intestinal microbiota and eCBome levels. Mn-enriched diets enhanced the circulating levels of N-docosapentaenoyl-ethanolamine (DPEA) and anandamide (AEA), while they reduced the intestinal concentrations of other N-acylethanolamines, particularly in the caecum. Besides, we found a strong sex effect of Mn on the intestinal levels of 2-monoacylglycerols (2-MAGs), which were lower in females. Other endocannabinoid-like molecules involved in the immune response were impacted by dietary Mn enrichment, such as N-palmitoyl-glycine and N-oleoyl-L-serine. Concomitantly, Mn enrichment promoted segment-specific changes in the relative abundance of several taxa in intestinal microbiota following the HFHS diet. Microbial families such as Peptostreptococcaceae, Muribaculaceae, and Erysipelotrichaceae responded differentially to dietary variations in Mn. This study hints at potential interactions between Mn levels and diet composition with the eCBome and intestinal bacteria during dietary Mn variations within HFHS-induced dysmetabolic processes in a sex-dependent manner. These results will eventually contribute to identifying members of the gut microbiome and mediators of the eCBome useful for improving metabolic health.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".