Superoxide Dismutase and Glutathione Peroxidase Content of Human Milk From Mothers of Premature and Full-Term Infants During the First 3 Months of Lactation
Bibliographic record
Abstract
BACKGROUND: Human milk contains various bioactive compounds including numerous immunologic factors, enzymes, growth factors, and hormones. However, the change during the course of lactation in many of these compounds has not been fully characterized. Therefore, the objective of the present study was to measure the activity of the enzymes superoxide dismutase (SOD; Enzyme Commission number [EC] 1.15.1.1) and glutathione peroxidase (SeGSHPx; EC 1.11.1.9) in human milk, to record changes in enzyme activity over time and to determine whether there are differences in activity between the milk of mothers of full-term (FT) and premature (PT) infants. METHODS: Nine samples were collected from each of 15 mothers (32 +/- 4 years of age; mean +/- standard deviation) of FT infants (gestational age, 40 +/- 1 weeks; birth weight, 3544 +/- 417 g) and 19 mothers (28 +/- 5 years of age) of healthy PT infants (gestational age, 29 +/- 4 weeks; birth weight, 1312 +/- 479 g). Samples were collected within a week of birth (+/- 1 day) and thereafter for 8 weeks, with a final collection at 12 weeks. RESULTS: During the 12-week study period, in both groups, total milliunits of GHSPx and SeGHSPx per milligram protein and SOD per per milligram protein increased, whereas protein content declined. SeGHSPx per milliliter milk was higher in the PT group at week 1 (92 +/- 30 mU/mL vs. 73 +/- 21 mU/mL), week 2 (93 +/- 28 mU/mL vs. 75 +/- 24 mU/mL), and week 7 (85 +/- 24 mU/mL vs. 68 +/- 22 mU/mL). The SOD activity per milliliter milk and milligram protein was higher throughout the entire study in the FT milk. CONCLUSIONS: Because mothers of PT infants may produce less milk than those of FT infants, PT infants may be at a disadvantage for antioxidant protection from these enzymes.
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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 | 0.001 |
| 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".