O-2 CHARACTERIZATION OF SERUM LEVELS OF BILE ACIDS, EXTRACELLULAR VESICLES AND ITS CARGO IN ALCOHOL-ASSOCIATED LIVER DISEASE
Bibliographic record
Abstract
Alcohol consumption is among the five main factors responsible for the burden of disease and mortality. It is associated with changes in serum bile acids, and in recent years, extracellular vesicles (EV´s) and their Cargo have shown special interest in various lines of research due to their role in intercellular communication. This study aimed to characterize the serum levels of bile acids, changes in their composition, extracellular vesicles and their cargo in alcohol-associated liver disease (ALD). Prospective cohort, years 2019-2021. They were divided into four groups; control group, alcohol-associated hepatitis (AH), alcohol-related cirrhosis, and alcohol use disorder (AUD). Measurement of serum bile acids and C4 was performed through Liquid Chromatography /Tandem Mass Spectrometry, serum measurement of FGF19 and the serum concentration of extracellular vesicles through NTA (nanoparticle tracking analysis) and their cargo of bile acids. A greater concentration of total bile acids was measured in the AUD group (1366.28 ng/ml) compared to the control group (552.42 ng/ml) (p = 0.003). The concentration of chenodeoxycholic acid is higher in the group of patients with AH (734.23 ng/ml) (p=0.04). The EV´s concentration is higher in the HA groups (1.292 E^11 ± 6.4E^10 particles/ml) and in AUD (9.9E^10+ 4.9E^ particles/ml) (p=0.005). It was possible to analyze the Cargo of BA in exosomes with proportional differences between the groups. Serum bile acids, both in concentration and composition, are modified in patients with AUD and HA, respectively; both present a higher concentration of exosomes, which could be a hepato-specific, dynamic and potentially prognostic biomarker in subjects with ALD.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".