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Record W2035713833 · doi:10.3109/14767058.2012.755164

Time-dependent effect of<i>in utero</i>inflammation: a longitudinal study in rats

2013· article· en· W2035713833 on OpenAlexaff
Marie‐Ève Roy‐Lacroix, Maxime Guérard, Maryse Berthiaume, Marek Rola‐Pleszczynski, Ana‐Maria Crous‐Tsanaclis, Jean‐Charles Pasquier

Bibliographic record

VenueThe Journal of Maternal-Fetal & Neonatal Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsIn uteroInflammationLongitudinal studyMedicinePsychologyDevelopmental psychologyInternal medicineBiologyPregnancyPathologyFetus

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the impact of the duration of fetal exposure to inflammation on the neurological outcome of pups. METHOD: Time-pregnant Sprague-Dawley rats (n = 32) received intraperitoneal injection of lipopolysaccharides (LPS; 500 µg/kg), or an equivalent volume of vehicle 3, 6, 12 and 24 h before C-section. Maternal serum and amniotic fluid were tested for cytokines. Motor activity of resuscitated pups (n = 58) was analyzed using the open-field test (20 d). Brains were collected for histopathological examination. RESULTS: Perinatal mortality increased with the duration of fetal exposure to LPS. All parameters tested with the open-field test were lower in the LPS 12 h exposure group compared to the control group (p < 0.05). Tissue inhibitor of metalloproteinase 1 (TIMP-1) was statistically increased in maternal blood after 3, 6 and 12 h of LPS injection (p < 0.05 versus control). CONCLUSION: A threshold of duration of exposure to inflammation is demonstrated, before which delivery should be performed in order to prevent brain damage.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.883

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.267
Teacher spread0.257 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations7
Published2013
Admission routes1
Has abstractyes

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