Effect of β-casein A2 cow milk supplementation on physical growth, inflammation, growth-related hormones, and nutritional biomarkers in stunted children
Bibliographic record
Abstract
PURPOSE: Previous studies have suggested that milk consumption can promote growth in children. However, limited studies have been performed on the effects of cow milk varieties, especially β-casein A2 milk. This study aims to investigate the effect of β-casein A2 cow milk supplementation on physical growth, inflammation, and growth-related hormone and nutritional biomarker profiles in growth-stunted children. METHODS: This is a quasi-experimental study with only one group and a pre-and posttest design. This research is divided into 3 stages: allele testing in the β-casein gene, processing into ready-to-drink milk, and a clinical trial. The participants were children aged 12-36 months who were given 200-mL β-casein A2 cow milk supplementation once a day for 3 months. The outcome assessments were physical growth (body weight and height), inflammation (tumor necrosis factor-alpha [TNF-α] and cortisol levels), and biological markers related to growth and nutrition (insulin-like growth factor-1 [IGF-1], growth hormone [GH], and transferrin) that were measured during pre-, mid (week 6)-, and post (week 12)-intervention periods. RESULTS: This study included 30 study participants. Significant body weight and height improvements were observed at week 6 and postintervention (week 12) compared to preintervention. There were significant reductions in the inflammation markers TNF-α and cortisol levels postintervention. Additionally, IGF-1 and GH levels increased significantly, and transferrin levels also rose, potentially reflecting improved nutritional status. CONCLUSION: This study suggests that β-casein A2 milk supplementation was associated with improvements in physical growth and related biomarkers in stunted children. Additionally, β-casein A2 milk may produce fewer BCM-7 metabolites compared to β-casein A1 milk, which has been hypothesized to be associated with certain adverse health outcomes. However, further controlled studies are needed to confirm its efficacy as a dietary intervention.
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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 | 0.001 |
| 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".