Ingested soluble CD14 contributes to the functional pool of circulating sCD14 in mice
Bibliographic record
Abstract
Soluble CD14 (sCD14) is a pattern recognition receptor and Toll-like co-receptor observed in human milk (5-26μg/mL) and other bodily fluids such as blood (3μg/mL). The most well defined role of sCD14 is to recognize lipopolysaccharide of Gram-negative bacteria and signal an immune response through Toll-like receptor 4 (TLR4). Previous research has shown ingested sCD14 to transfer from the gastrointestinal tract and into the blood stream in neonatal rats. The contribution of human milk sCD14 to circulating levels in the infant and the functionality of the protein, however, remained unknown. Using CD14(-/-) mouse pups fostered to wild type (WT) mothers expressing sCD14 in their milk, we show herein that ingestion of sCD14 resulted in blood sCD14 levels up 0.16±0.09μg/mL. This represents almost one-third (26.7%) of the circulating sCD14 observed in WT pups fostered to WT mothers (0.60±0.14μg/mL). We also demonstrate that ingested-sCD14 transferred to the blood remains functional in its ability to recognize lipopolysaccharide as demonstrated by a significant increase in immune response (IL-6 and TNF-α) in CD14(-/-) pups fostered to WT mothers in comparison to control animals (P=0.002 and P=0.007, respectively). Using human intestinal cells (Caco-2), we also observed a significant decrease in sCD14 transcytosis when TLR4 was knocked down (P<0.001), suggesting sCD14 transfer involves TLR4. The bioavailability of human milk sCD14 established in this report confirms the importance of human milk proteins for the infant and demonstrates the need to improve infant formulas which are lacking in immune proteins such as sCD14.
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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 | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".