Source and Quality of Enteral Nutrition Influences Oxidative Stress in Preterm Infants: A Prospective Cohort Study
Bibliographic record
Abstract
BACKGROUND: Preterm infants are at risk of oxidative stress from neonatal intensive care interventions. 8-Oxo-2'-deoxyguanosine (8-oxodG), generated by oxygen radical attack on DNA, is a potential marker of oxidative stress. The aim of the present study was to investigate the impact of quality and source of enteral nutrition (EN) on renal excretion of 8-oxodG in preterm infants. METHODS: Spontaneous urine samples were collected on postnatal days 26-31 in 33 preterm infants. Infants were fed either breast milk (BM), formula (FM), or BM/FM mixtures. Daily iron (Fe) supplementation was started day 28 ± 1 postnatally. 8-oxodG was determined by highperformance liquid chromatography-electrochemical detection (HPLC-EC). RESULTS: The 8-oxodG/creatinine ratio was significantly higher in infants fed FM vs FM/BM (38.7 ± 28.7 vs 16.7 ± 12.2 nmol 8-oxodG/mmol creatinine, P < 0.0001) or BM (11.6 ± 10.4 nmol 8-oxodG/mmol creatinine, P < 0.0001). There was no significant effect of Fe supplementation (P = 0.547). 8-OxodG excretion showed significant interindividual variation but was similar within pairs of twins. CONCLUSION: Quality and source of EN seem to influence oxidative stress in preterm infants. The underlying pathophysiological mechanism is unclear and needs further investigation. It may be speculated that other mechanisms than Fe supplementation contribute to oxidative stress, such as cow's milk protein-mediated up-regulation of the intestinal inflammatory cascade.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".