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AOP: 494
Title
AhR activation leading to liver fibrosis
Short name
Graphical Representation
Point of Contact
Contributors
- Xavier COUMOUL
- Min Ji Kim
- Karine Audouze
- Etienne Blanc
Coaches
- Tanja Burgdorf
OECD Information Table
OECD Project # | OECD Status | Reviewer's Reports | Journal-format Article | OECD iLibrary Published Version |
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This AOP was last modified on June 13, 2024 09:45
Revision dates for related pages
Page | Revision Date/Time |
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Activation, AhR | February 28, 2024 05:12 |
Up Regulation, CYP1A1 | September 16, 2017 10:15 |
Increase, Reactive oxygen species | March 19, 2019 09:41 |
Increase, Cell injury/death | May 27, 2024 07:23 |
Activation, Stellate cells | November 10, 2019 05:25 |
Leukocyte recruitment/activation | December 01, 2017 09:33 |
Increased, extracellular matrix deposition | January 25, 2022 16:26 |
N/A, Liver fibrosis | December 05, 2018 08:29 |
Increased, Liver Steatosis | May 21, 2024 10:00 |
Activation, AhR leads to Up Regulation, CYP1A1 | December 03, 2016 16:37 |
Up Regulation, CYP1A1 leads to Increase, ROS | April 13, 2023 08:40 |
Activation, AhR leads to Increased, Liver Steatosis | May 14, 2024 13:55 |
Increased, Liver Steatosis leads to Cell injury/death | May 14, 2024 13:53 |
Cell injury/death leads to Activation, Stellate cells | November 29, 2016 19:54 |
Cell injury/death leads to Leukocyte recruitment/activation | April 13, 2023 08:44 |
Leukocyte recruitment/activation leads to Increased extracellular matrix deposition | April 13, 2023 08:44 |
Activation, Stellate cells leads to Increased extracellular matrix deposition | April 13, 2023 08:47 |
Increased extracellular matrix deposition leads to N/A, Liver fibrosis | April 10, 2021 11:49 |
2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) | February 09, 2017 14:32 |
Abstract
Liver fibrosis, characterized by excessive accumulation of extracellular matrix proteins, represents a significant health burden worldwide. The Ah receptor (AhR), a ligand-activated transcription factor primarily known for its involvement in xenobiotic metabolism, has emerged as a key player in various physiological processes, including liver homeostasis and inflammation. Recent studies have implicated the AhR signaling pathway in the development and progression of liver fibrosis. This AOP provides a comprehensive overview of the molecular mechanisms underlying the association between AhR activation and liver fibrogenesis. AhR activation by endogenous ligands, such as tryptophan metabolites and environmental toxins, triggers a cascade of events leading to hepatic stellate cell activation, inflammation, and fibrogenesis. Understanding the intricate interplay between AhR and liver fibrosis offers novel insights into the pathogenesis of chronic liver diseases and highlights AhR as a potential therapeutic target for the management of liver fibrosis.
AOP Development Strategy
Context
Understanding the biological link between Ah receptor (AhR) activation and liver fibrosis holds significant relevance due to its implications in the pathogenesis of various liver diseases. Liver fibrosis represents a common pathological process underlying the progression of chronic liver disorders, including hepatitis, alcoholic liver disease, and non-alcoholic fatty liver disease (NAFLD). Notably, NAFLD, characterized by hepatic steatosis, inflammation, and fibrosis, has become a global health concern, closely associated with obesity, metabolic syndrome, and insulin resistance. Given that AhR activation has been implicated in the regulation of lipid metabolism and inflammation, elucidating its role in liver fibrosis provides valuable insights into the molecular mechanisms driving NAFLD progression. Moreover, the interconnected nature of liver diseases underscores the importance of investigating AhR-mediated pathways as potential therapeutic targets for the management of liver fibrosis and its comorbidities, including hepatic steatosis. Therefore, establishing a biological link between AhR activation and liver fibrosis not only enhances our understanding of disease pathogenesis but also offers promising avenues for the development of targeted therapies for liver-related disorders.
Strategy
We have been working for many years on chronic liver diseases and AhR. We had written a review on the subject and, following on from experimental work showing the links between AhR and fibrosis (two publications), we decided as part of the PARC project to take advantage of this expertise to publish this AOP.
Summary of the AOP
Events:
Molecular Initiating Events (MIE)
Key Events (KE)
Adverse Outcomes (AO)
Type | Event ID | Title | Short name |
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MIE | 18 | Activation, AhR | Activation, AhR |
KE | 80 | Up Regulation, CYP1A1 | Up Regulation, CYP1A1 |
KE | 1364 | Increase, Reactive oxygen species | Increase, ROS |
KE | 55 | Increase, Cell injury/death | Cell injury/death |
KE | 459 | Increased, Liver Steatosis | Increased, Liver Steatosis |
KE | 265 | Activation, Stellate cells | Activation, Stellate cells |
KE | 1494 | Leukocyte recruitment/activation | Leukocyte recruitment/activation |
KE | 1501 | Increased, extracellular matrix deposition | Increased extracellular matrix deposition |
AO | 344 | N/A, Liver fibrosis | N/A, Liver fibrosis |
Relationships Between Two Key Events (Including MIEs and AOs)
Title | Adjacency | Evidence | Quantitative Understanding |
---|
Activation, AhR leads to Up Regulation, CYP1A1 | adjacent | High | High |
Up Regulation, CYP1A1 leads to Increase, ROS | adjacent | High | High |
Activation, AhR leads to Increased, Liver Steatosis | adjacent | High | Moderate |
Increased, Liver Steatosis leads to Cell injury/death | adjacent | Moderate | Moderate |
Cell injury/death leads to Activation, Stellate cells | adjacent | Moderate | Moderate |
Cell injury/death leads to Leukocyte recruitment/activation | adjacent | Moderate | Moderate |
Leukocyte recruitment/activation leads to Increased extracellular matrix deposition | adjacent | Moderate | Moderate |
Activation, Stellate cells leads to Increased extracellular matrix deposition | adjacent | High | High |
Increased extracellular matrix deposition leads to N/A, Liver fibrosis | adjacent | High | High |
Network View
Prototypical Stressors
Life Stage Applicability
Life stage | Evidence |
---|---|
Adults | Moderate |
Taxonomic Applicability
Sex Applicability
Sex | Evidence |
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Mixed | Moderate |
Overall Assessment of the AOP
The biological plausibility of KERs is defined by the OECD as the « understanding of the fundamental biological processes involved and whether they are consistent with the causal relationship being proposed in the AOP ». The biological plausibility is strong due to the presence of overwhelming evidence present in different studies. A minor setback would be the difficulty to dismiss alternative mechanisms caused by the ligands used for AhR activation.
The essentiality of KEs refers to « experimental data for whether or not downstream KEs or the AO are prevented or modified if an upstream event is blocked ». The essentiality of KEs is strong: most works converge to imply the AhR in fibrotic processes. One setback would be that AhR knockout mice also develop a specific liver fibrosis. We propose that exogenous ligands alter the activity of endogenous ligands and therefore contribute just like the knockout to the occurence of liver fibrosis. The AhR activation needs to be considered then as the binding of exogenous ligands (xenobiotics) counteracting on the physiological processes which regulate the physiological functions.
Finally, the empirical support of KERs, is often « based on toxicological data derived by one or more reference chemicals where dose–response and temporal concordance for the KE pair can be assessed ». The overall assessment of the empirical support of our KERs is also strong. There is evidence in human cell lines and mice showing a dose–response and temporal concordance for severity of our KEs and the adverse outcomes (for example, a dose-dependant effect of TCDD on the development of liver fibrosis in mice).
Domain of Applicability
Essentiality of the Key Events
Evidence Assessment
Known Modulating Factors
Modulating Factor (MF) | Influence or Outcome | KER(s) involved |
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