Distribution of Hepatic Nerve Fibers in Liver Diseases
Bibliographic record
Abstract
Autonomic hyperactivity with increased cardiac output and other manifestations occurs in patients with both cirrhosis and noncirrhotic portal hypertension. The role of the disordered hepatic autonomic innervation in the mediation of these abnormalities is unknown. We have studied the hepatic nerve network and associated extracellular matrix proteins in patients with portal hypertension (alcoholic cirrhosis, extrahepatic portal vein obstruction, idiopathic portal hypertension), and in patients without portal hypertension (alcoholic hepatitis, psoriasis before and after treatment with methotrexate, a potentially hepatotoxic drug) by immunohistochemical methods. Histologically normal liver biopsies from patients undergoing abdominal surgery served as normal controls. Hepatic parenchymal nerves were absent in cirrhotic nodules and were depleted in the fibrotic strands of alcoholic cirrhotic livers. In alcoholic hepatitis, where clinical and histological features associated with portal hypertension were absent, nerve fibers were increased around the portal vein branches. Similar increase was also noted in liver biopsies from patients with noncirrhotic portal hypertension. Increased numbers of nerve fibers around portal veins were demonstrated in psoriatics, particularly those treated with methotrexate. Immunohistochemical studies of extracellular matrix proteins revealed apparent inverse relationships between innervation and fibronectin deposition with direct relationships to laminin staining. The association of nerve network with portal hypertension and cellular inflammation was inconsistent.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".