ReviewCurrent drug targets2015
Identifying Novel Targets for Treatment of Liver Fibrosis: What Can We Learn from Injured Tissues which Heal Without a Scar?
Review in Current drug targets, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
9 citing papers in PubMed, 19 citations in OpenAlex.
- Regression of hepatic fibrosis in gamma-irradiated rats by mycophenolate mofetil: potential role of Egr-1.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Hepatic Extracellular Matrix and Its Role in the Regulation of Liver Phenotype.Seminars in liver disease · 2024Review
- Hyaluronan synthesis inhibition normalizes ethanol-enhanced hepatic stellate cell activation.Alcohol, clinical & experimental research · 2023Article
- New aspects of hepatic endothelial cells in physiology and nonalcoholic fatty liver disease.American journal of physiology. Cell physiology · 2020Review
- The Matrisome, Inflammation, and Liver Disease.Seminars in liver disease · 2020Review
- Uncorrelated healing response of tendon and ear injuries in MRL highlight a role for the local tendon environment in driving scarless healing.Connective tissue research · 2018Article
- Role of early growth response 1 in liver metabolism and liver cancer.Hepatoma research · 2017Article
- SECs (Sinusoidal Endothelial Cells), Liver Microenvironment, and Fibrosis.BioMed research international · 2017Review
- Pathogenesis of Nonalcoholic Steatohepatitis.Gastroenterology · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The liver is unique in that it is able to regenerate. This regeneration occurs without formation of a scar in the case of non-iterative hepatic injury. However, when the liver is exposed to chronic liver injury, the purely regenerative process fails and excessive extracellular matrix proteins are deposited in place of normal liver parenchyma. While much has been discovered in the past three decades, insights into fibrotic mechanisms have not yet lead to effective therapies; liver transplant remains the only cure for advanced liver disease. In an effort to broaden the collection of possible therapeutic targets, this review will compare and contrast the liver wound healing response to that found in two types of wound healing: scarless wound healing of fetal skin and oral mucosa and scar-forming wound healing found in adult skin. This review will examine wound healing in the liver and the skin in relation to the role of humoral and cellular factors, as well as the extracellular matrix, in this process. While several therapeutic targets are similar between fibrotic liver and adult skin wound healing, others are unique and represent novel areas for hepatic anti-fibrotic research. In particular, investigations into the role of hyaluronan in liver fibrosis and fibrosis resolution are warranted.
Indexed as
Identifiers
What 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.