Supplementation of fermented Maillard-reactive whey protein enhances immunity by increasing NK cell activity
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to investigate the impact of supplementation with fermented Maillard-reactive whey protein (F-MRP) on natural killer (NK) cell activity, circulating cytokines, and serum protein levels. METHODS: A randomized, double-blind, placebo-controlled study was conducted on a sample of 80 participants without diabetes or obesity. Over an 8-week study period, the F-MRP group consumed 6 g of powder containing 4.2 g of F-MRP each day, whereas the placebo group consumed the same amount of maltodextrin. For each participant, NK cell activity was evaluated based on the ratio of effector cells (E; peripheral blood mononuclear cells, PBMCs) to target cells (T; K562 cells) at E : T ratios of 10 : 1, 5 : 1, 2.5 : 1, and 1.25 : 1. RESULTS: Body mass index (BMI) and NK cell activity under all assay conditions were significantly increased in the F-MRP group at the 8-week follow-up visit compared with the values at the baseline, whereas the placebo group showed significant reductions in NK cell activity (at an E : T ratio of 5 : 1), serum albumin, and pre-albumin at the 8-week follow-up visit compared with the values at the baseline. When comparing the changes between the placebo and F-MRP groups, the increases in NK cell activity under all assay conditions and serum interleukin (IL)-12 in the F-MRP group were greater than those in the placebo group after adjusting for baseline values. There were also significant differences in pre-albumin and insulin-like growth factor (IGF)-1 between the two groups; the change in (Δ) IL-12 was positively correlated with both Δpre-albumin (r = 0.435, P = 0.006) and ΔNK cell activity at an E : T ratio of 10 : 1 (r = 0.571, P < 0.001) in the F-MRP group. CONCLUSION: Daily consumption of F-MRP enhanced NK cell function, which was positively associated with ΔIL-12. Moreover, ΔIL-12 was positively correlated with Δpre-albumin.
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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 | 0.000 |
| 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".