P3027 Bioactivity of colostrum and milk exosomes containing microrna from cows genetically selected as high, average and low immune responders based on their estimated breeding values
Bibliographic record
Abstract
Bovine milk contains bioactive components with immune-regulatory potential in humans. Expression of milk bioactive components is often controlled by microRNA (miRNA). Colostrum and milk miRNAs are enclosed in exosomes, conferring their protection from degradation and potentially promoting uptake by recipient cells. While dairy cows classified as high immune responders (HIR) have improved colostrum and milk quality compared with average (A) and low (L) responders, the bioactivity of colostrum and milk exosome-derived miRNA at the human intestinal epithelial barrier remains to be explored. Therefore, the purpose of this study is to evaluate the functional role of milk exosomes at the intestinal epithelial interface using healthy and cancerous human intestinal epithelial cells. Exosomes were isolated by differential ultracentrifugation from the colostrum and milk of cattle genetically selected as L, A or HIRs based on their estimated breeding values. Exosomes were viewed by electron microscopy and confirmed by immunoglod labeling, ELISA ExoEL kit and Western blot analysis for the presence of common exosomal-proteins (CD9, CD63, CD81, and Hsp70). Quantification of exosomal protein was conducted by BCA protein assay. Exosome surface markers are more abundantly expressed in colostrum exosome isolates across all immune response groups compared with milk. Specifically, expression of colostrum exosome markers is higher in A and HIR exosome isolates, compared with L responders. To assess bioactivity, exosomes are co-cultured with human intestinal epithelial cells (IECs). An MTT assay is conducted to determine if exosomes are cytotoxic or promote the viability of IECs. Uptake of PKH67 labeled exosomes by IECs is conducted to assess the bioavailability of bovine milk exosomes in humans. Finally, transfer of exosomal miRNA to IECs is being validated using qPCR array. This research will help determine the functional importance of bovine milk on gastrointestinal health of humans.
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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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".