ArticleJACC. Basic to translational science2025
Biliary Metaplasia and Macrophage Activation Define the Cellular Landscape of Cardiogenic Liver Disease.
Article in JACC. Basic to translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- The Cardiohepatic Axis in Heart Failure.JACC. Basic to translational science · 2025Review
- The Cardiohepatic Axis in Metabolic Disease: Liver to Heart.JACC. Basic to translational science · 2025Review
- Inflammation in Cardiogenic Liver Disease: The Guilty Perpetrator or an Innocent Bystander to Congestion?JACC. Basic to translational science · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Right heart failure significantly impacts liver remodeling and function, a process referred to as cardiogenic liver disease. Although recognized as a risk factor for adverse outcomes, little is understood about the cellular and molecular players that contribute to liver disease in heart failure. Using human liver biopsy samples from patients with heart failure and a mouse model of liver congestion, we unraveled a nexus of macrophages, hepatic stellate cells, and biliary metaplastic cells that shape the pathologic environment of cardiogenic liver disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.