Milk fat globule membrane attenuates acute Salmonella typhimurium infection induced mouse model of colitis and ameliorates intestinal immunity
Bibliographic record
Abstract
• MFGM reduces inflammation: MFGM lowers colonic and systemic cytokines, reducing inflammation. • Enhances gut barrier: MFGM upregulates tight junctions proteins, improving gut integrity and reducing permeability. • Modulates immune cells: MFGM reduces activated innate and adaptive immune cells (TLR-4, T cell) in MLN. • Protects organs: MFGM alleviates spleen and liver injuries by lowering organ indices and bacterial translocation. Research investigating the effects of milk fat globule membranes (MFGM) on Salmonella typhimurium -induced colitis, intestinal barrier integrity, and gut-associated immune responses remains scarce. This study aimed to investigate the potential of dietary MFGM to alleviate S. typhimurium -induced colitis in mice. Male C57BL/6J mice were administered S. typhimurium to induce colitis and were then subjected to dietary interventions with either bovine MFGM (BMFGM) or goat MFGM (GMFGM). Both BMFGM and GMFGM mitigated S. typhimurium -induced colitis, as evidenced by increased body weight, decreased mRNA levels of pro-inflammatory cytokines (TNF-α, IFN-γ, IL-1β, and IL-6) in the colon, reduced intestinal permeability, and increased mRNA expression of tight junction-associated genes (Claudin-1 and ZO-1). Additionally, there was a reduction in the number of S. typhimurium in the mesenteric lymph nodes and an improvement in CD4 T cell activation status. Furthermore, liver and spleen injury was reduced, and serum levels of pro-inflammatory cytokines (IFN-γ, IL-1β, IL-4, IL-2, IL-6, and TNF-α) were decreased by both type of MFGM. Overall, BMFGM and GMFGM effectively alleviated S. typhimurium -induced colitis and associated hepatic and splenic injuries.
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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 | 0.000 | 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 | 0.001 |
| 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".