Portal Angiogenesis in Chronic Liver Disease Patients Correlates with Portal Pressure and Collateral Formation
Bibliographic record
Abstract
BACKGROUND/AIMS: One hallmark of chronic liver disease in patients with portal hypertension is the formation of portal-systemic collaterals in which angiogenesis has a fundamental role. We studied patients with chronic liver disease undergoing liver transplantation to correlate levels of circulating angiogenic factors in portal and peripheral circulation with portal pressure and portal-systemic collaterals. METHODS: Sixteen patients who underwent liver transplantation were enrolled. During transplant surgery, we determined portal venous pressure and portal-systemic collateral formation. We determined angiogenics mediator levels in systemic and portal plasma. Peripheral plasma from healthy donors was measured as controls. RESULTS: Vascular endothelial growth factor (VEGF)-R1 and 2, Ang-1 and 2, Tie2, FGF- 1 and 2, CD163, PDGFR-β, PDGFsRα, PDGF-AB and BB, CD163, TGF-β VASH-1 levels were significantly different in the controls in comparison to cases. Significantly decreased portal venous levels of Ang-1, FGF-1, PDGF-AB/BB, and CC were observed in patients with higher portal pressure. Peripheral VEGF, Ang-1, pPDGF-AB, BB, and CC were significantly decreased in patients with more severe collateral formation. While peripheral VEGF-R1 was higher in patients with severe collateral formation. For portal circulation, VEGF, Ang-1, -pPDGF-AB, BB, and CC were significantly decreased in patients with more severe collateral formation Conclusions: Angiogenesis factors correlated with portal pressure and collateral formation and different patterns of circulating angiogenesis mediators were found in peripheral and portal blood of patients with chronic liver disease. These results support the importance of angiogenic pathways in cirrhosis and portal hypertension and highlight areas for further study to identify clinically useful noninvasive markers of portal pressure and collateral formation.
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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".