0443 Lipopolysaccharide Binding Protein (lbp) Is Associated With The Occurrence Of Cardio-metabolic Disturbances In Obstructive Sleep Apnea (osa)
Bibliographic record
Abstract
OSA may differentially affect metabolic functions depending upon the nature/intensity of sleep apnea-related stimuli and on their pathophysiological impact. Emerging evidence suggests that variation in the gut microbiota composition may play a key role in the pathogenesis of obesity and related metabolic complications. LBP is a marker of a low grade metabolic endotoxemia that is associated with an increased risk of cardiometabolic diseases. 54 subjects referred for suspicion of OSA were enrolled (men and post-menopausal women, 30 - 65 years, BMI ≤ 35 Kg.m-2). Plasma glucose and insulin levels and serum levels of lipids, CRP and LBP were measured. Faecal samples were processed for DNA extraction for determination of gut microbiota composition and metagenomic analyses (underway). The anthropometric characteristics of our subjects were age 55 ± 8 y, BMI 29.9 ± 3.5 Kg.m-2. There was no correlation between the different features of sleep-disordered breathing (AHI, ODI, % <90 % SaO2) and LBP values. Metabolic variables were analyzed according to LBP quartiles with comparison of results of the highest and lowest quartiles in the whole study population. Subjects of the highest LPB values (5.6 - 7.7 µg/ml) had significantly lower CholHDL (1.0 ± 0.2 and 1.3 ± 0.4 mmol/L respectively, p = 0.02), higher triglycerides (2.9 ± 1.6 and 1.8 ± 1.1 mmol/L, p = 0.008) and higher HOMA-IR values (5.1 ± 2.2 and 2.7 ± 0.5, p = 0.02). In subjects with the highest LBP values, the increase in fasting insulin, glucose, Hba1c and QUICKI were borderline significant (p= 0.08). CRP values were significantly higher in subjects of the highest LBP quartile whose BMI was ≤ 30 Kg.m-2 (3.07 ± 2.5 and 0.41 ± 0.3 mg/L, p = 0.04). In OSA subjects, low-grade metabolic endotoxemia is associated with metabolic disturbances that are associated with an increased cardio-metabolic risk. Further analysis will help to determine the link between such metabolic disturbances, LBP and potential alterations in the gut microbiome of these patients. FRQS respiratory network and Fonds JD Bégin-PH Lavoie UL.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".