Serum miR-181b-5p predicts ascites onset in patients with compensated cirrhosis
Bibliographic record
Abstract
•miR-181b-5p appears to be a useful serum biomarker to anticipate ascites onset.•Low serum miR-181b-5p indicates low risk of ascites in compensated cirrhosis.•Low serum miR-429 reflects acute hemodynamic response to non-selective beta-blockers. Background & AimsTreatment with non-selective beta-blockers (NSBBs) reduces the risk of ascites, which is the most common decompensating event in cirrhosis. This study aimed to assess the ability of a serum microRNA (miRNA) signature to predict ascites formation and the hemodynamic response to NSBBs in compensated cirrhosis.MethodsSerum levels of miR-452-5p, miR-429, miR-885-5p, miR-181b-5p, and miR-122-5p were analyzed in patients with compensated cirrhosis (N = 105). Hepatic venous pressure gradient (HVPG) was measured at baseline, after intravenous propranolol, and 1 year after randomization to NSBBs (n = 52) or placebo (n = 53) (PREDESCI trial). miRNAs were analyzed at baseline and at 1 year.ResultsNineteen patients (18%) developed ascites, of whom 17 developed ascites after 1 year. miR-181b-5p levels at 1 year, but not at baseline, were higher in patients that developed ascites. The AUC of miR-181b-5p at 1 year to predict ascites was 0.7 (95% CI 0.59–0.78). miR-429 levels were lower at baseline in acute HVPG responders to NSBBs (AUC 0.65; 95% CI, 0.53–0.76), but levels at baseline and at 1 year were not associated with the HVPG response to NSBBs at 1 year.ConclusionsSerum miR-181b-5p is a promising non-invasive biomarker to identify patients with compensated cirrhosis at risk of ascites development.Lay summaryAscites marks the transition from the compensated to decompensated stage in cirrhosis and indicates a worsening in prognosis. There are currently no easily accessible tools to identify patients with compensated cirrhosis at risk of developing ascites. We evaluated the levels of novel molecules termed microRNAs in the blood of patients with compensated cirrhosis and observed that miR-181b-5p can predict which patients are going to develop ascites. Treatment with non-selective beta-blockers (NSBBs) reduces the risk of ascites, which is the most common decompensating event in cirrhosis. This study aimed to assess the ability of a serum microRNA (miRNA) signature to predict ascites formation and the hemodynamic response to NSBBs in compensated cirrhosis. Serum levels of miR-452-5p, miR-429, miR-885-5p, miR-181b-5p, and miR-122-5p were analyzed in patients with compensated cirrhosis (N = 105). Hepatic venous pressure gradient (HVPG) was measured at baseline, after intravenous propranolol, and 1 year after randomization to NSBBs (n = 52) or placebo (n = 53) (PREDESCI trial). miRNAs were analyzed at baseline and at 1 year. Nineteen patients (18%) developed ascites, of whom 17 developed ascites after 1 year. miR-181b-5p levels at 1 year, but not at baseline, were higher in patients that developed ascites. The AUC of miR-181b-5p at 1 year to predict ascites was 0.7 (95% CI 0.59–0.78). miR-429 levels were lower at baseline in acute HVPG responders to NSBBs (AUC 0.65; 95% CI, 0.53–0.76), but levels at baseline and at 1 year were not associated with the HVPG response to NSBBs at 1 year. Serum miR-181b-5p is a promising non-invasive biomarker to identify patients with compensated cirrhosis at risk of ascites development.
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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".