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Record W2803634643 · doi:10.1093/pch/pxy054.053

GLUTATHIONE ADDITION TO PARENTERAL NUTRITION PREVENTS PULMONARY OXIDATIVE STRESS AND HYPO-ALVEOLARIZATION IN NEWBORN GUINEA PIG

2018· article· en· W2803634643 on OpenAlexaff
Jean‐Claude Lavoie, Ibrahim Mohamed

Bibliographic record

VenuePaediatrics & Child Health · 2018
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsGlutathioneOxidative stressBronchopulmonary dysplasiaParenteral nutritionMedicineGuinea pigGlutathione disulfideInternal medicineEndocrinologyChemistryBiochemistryBiologyGestational agePregnancy

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Parenteral nutrition (PN) is contaminated by peroxides, which induce oxidative stress (oxidized redox potential) and hypoalveolarization in lungs of newborn animals. In human premature newborns, PN is associated to an oxidized redox potential and to a greater prevalence of bronchopulmonary dysplasia (BPD). Peroxides are detoxified by glutathione that is deficient in preterm infants. Hypothesis: Improving glutathione level in premature infants prevents BPD development caused by oxidative stress. OBJECTIVES Assess dose-response effect of glutathione added in PN on alveolarization index and pulmonary redox potential of glutathione (specific oxidative stress marker for peroxides) in newborn guinea pigs. DESIGN/METHODS At day 3 of life, through a jugular catheter, guinea pigs (N=55) received PN (dextrose, amino acids, lipids, vitamins, electrolytes) enriched in glutathione (0, 50, 120, 165, 270, 370, 650 μg GSSG/kg/d). GSSG was used rather than GSH because it has a better stability in PN and similar efficiency in vivo. A control group (no manipulation, fed by mouth) served as reference. After 4 days, lungs were taken for determination of GSH, GSSG, redox potential (capillary electrophoresis) and alveolarization index (AI) (number of intercepts between a 1 mm line and histological structures); higher is AI, higher is the number of alveoli. Data (mean±sem) from animals on PN were compared by ANOVA, p<0.05. RESULTS There was no difference in the alveolarization index between groups receiving doses ranging from 0 to 120 μg/kg/d (25.9 ± 0.6 intercepts/mm) and between those with doses ranging between 165 and 650 μg/kg/d (30.5 ± 0.6 intercepts/mm). However, the difference between the lowest (0–120 μg/kg/d) and the highest doses (165–650 μg/kg/d) was highly significant (p<0.001). The control AI value was 29.4 ± 1.2 intercepts/mm. Increasing GSSG in PN has allowed a significant (r2=0.47; p<0.001) reduction of redox potential, from oxidized status of -205 ± 2 in PN without GSSG to -215 ± 2 mV with the highest dose (650 μg/kg/d); control = -222 ± 3 mV. GSSG in PN was also associated with a decreasing GSSG values (r2=0.49; p<0.001), from 0.84 ± 0.10 in PN without GSSG to 0.38 ± 0.06 nmol/mg prot with the highest dose (650 μg/kg/d); control = 0.35 ± 0.07 nmol/mg prot. There was no effect on GSH (mean value of 29 ± 1 nmol/mg prot). CONCLUSION Addition of glutathione into PN prevents pulmonary oxidative stress. The dose-response curve suggests a specific minimal dose of GSSG to maintain the alveolar integrity. Lower doses were inefficient whereas higher doses are unnecessary, as the index of alveolarization reached a plateau with a mean value similar to that one observed in the control group. This pre-clinical study brings basic data that will serve for the clinical phase I-II study that we are starting soon.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.025
GPT teacher head0.343
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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