ReviewMolecular biology reports2021
Liver sinusoidal endothelial cells are implicated in multiple fibrotic mechanisms.
Review in Molecular biology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- HBV reprograms the tumor microenvironment in hepatocellular carcinoma: mechanisms and therapeutic implications.Clinical and experimental medicine · 2026Review
- Gandouling Inhibits the Sinusoid Capillarization Associated with Liver Fibrosis in Wilson's Disease by Blocking the Communication Between Hepatic Stellate Cells and Liver Sinusoidal Endothelial Cells.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Loss of β-catenin in cholangiocytes promotes hepatocyte reprogramming and vascular remodeling during murine cholestasis.Cell communication and signaling : CCS · 2026Article
- Liver Fibrosis: Interactions Between Cells and Microenvironments.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2025Review
- Liver Sinusoidal Endothelial Cells in the Regulation of Immune Responses and Fibrosis in Metabolic Dysfunction-Associated Fatty Liver Disease.International journal of molecular sciences · 2025Review
- Hepatic microcirculatory disturbance in liver diseases: intervention with traditional Chinese medicine.Frontiers in pharmacology · 2024Review
- How single-cell transcriptomics provides insight on hepatic responses to TCDD.Current opinion in toxicology · 2023Article
- Liver Cell Type-Specific Targeting by Nanoformulations for Therapeutic Applications.International journal of molecular sciences · 2023Review
- Pathological Changes in Hepatic Sinusoidal Endothelial Cells inTropical medicine and infectious disease · 2023Article
- Engineered matrix microenvironments reveal the heterogeneity of liver sinusoidal endothelial cell phenotypic responses.APL bioengineering · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic liver diseases are attributed to liver injury. Development of fibrosis from chronic liver diseases is a dynamic process that involves multiple molecular and cellular processes. As the first to be impacted by injury, liver sinusoidal endothelial cells (LSECs) are involved in the pathogenesis of liver diseases caused by a variety of etiologies. Moreover, capillarization of LSECs has been recognized as an important event in the development of chronic liver diseases and fibrosis. Studies have reported that various cytokines (such as vascular endothelial growth factor, transforming growth factor-β), and pathways (such as hedgehog, and Notch), as well as epigenetic and metabolic factors are involved in the development of LSEC-mediated liver fibrosis. This review describes the complexity and plasticity of LSECs in fibrotic liver diseases from several perspectives, including the cross-talk between LSECs and other intra-hepatic cells. Moreover, it summarizes the mechanisms of several kinds of LSECs-targeting anti-fibrosis chemicals, and provides a theoretical basis for future studies.
Indexed as
Identifiers
33730288What OpenQuestion holds
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.