[LB.02.12] TLR4 ANTAGONISM PREVENTS EARLY LEFT VENTRICULAR HYPERTROPHY AND DYSFUNCTION ASSOCIATED WITH NEONATAL HYPEROXIA EXPOSURE
Bibliographic record
Abstract
Objective: Preterm birth is associated with proinflammatory/prooxidative status early in life, and increased risk of cardiovascular diseases (CVD) through mechanisms that are incompletely understood. Our lab has shown in rats that transient neonatal exposure to high O2, an established model of prematurity-related prooxidative conditions, leads to early CV inflammation and remodeling. TLR4 signaling is a critical link between inflammation and the pathogenesis of CVD. It is unknown whether neonatal programmed innate immunity activation, via TLR4 signaling, impacts long term CVD. In a rat model of prematurity (neonatal high O2 exposure), the current study investigated whether neonatal TLR4 antagonism will prevent the development of early CV dysfunction. Design and method: Male Sprague-Dawley pups were kept with their mother in 80% O2 or room-air from day (P) 3 to 10 of life. A subgroup was sacrificed at P10 to assess TLR4 protein expression. In other experiments, pups were treated i.p. with TLR4 antagonist LPSRS (100 μg/kg) or vehicle (0.9% NaCl) at P3, P6 and P9 (concomitant to O2 exposure; n = 6–9 per group, max 3 animals/group/liter). At 4 and 7 weeks, body weights were measured and left ventricular (LV) echocardiography was performed under isoflurane anesthesia using VEVO 3100 system (VisualSonics). Comparisons were made using Student's t-test or ANOVA. Results: At P10, cardiac TLR4 protein expression was increased ∼2 fold in hyperoxia-exposed pups compared to room-air controls (P < 0.05). At 4 weeks, body weight in vehicle- or LPSRS-treated hyperoxia animals (101 ± 2 g and 106 ± 2 g) was lower compared to room-air vehicles (117 ± 2 g, P < 0.01). Compared to room-air vehicles, vehicle-treated but not LPSRS-treated hyperoxia animals exhibited increased LV mass index (3.8 ± 0.1 and 3.4 ± 0.1 vs 3.3 ± 0.1 mg/g, P < 0.05 for hyperoxia vehicles vs room-air vehicles), reduced ejection fraction (74 ± 2 and 79 ± 2 vs 82 ± 1%, P < 0.05) and fractional shortening (43 ± 2 and 48 ± 2 vs 52 ± 2%, P < 0.01), reduced cardiac output index (0.43 ± 0.02 and 0.48 ± 0.02 vs 0.56 ± 0.03 ml/min/g, P < 0.01), and decreased mitral E-to-A wave ratio (1.3 ± 0.1 and 1.7 ± 0.1 vs 1.7 ± 0.1 mg/g, P < 0.01). Findings were similar at 7 weeks. Conclusions: TLR4 antagonism prevents early LV hypertrophy and mild systolic and diastolic dysfunction associated to neonatal exposure to hyperoxia.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.008 |
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".