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AOP: 507
Title
Nrf2 inhibition leading to vascular disrupting effects via inflammation pathway
Short name
Graphical Representation
Point of Contact
Contributors
- Yanhong Wei
Coaches
OECD Information Table
OECD Project # | OECD Status | Reviewer's Reports | Journal-format Article | OECD iLibrary Published Version |
---|---|---|---|---|
This AOP was last modified on July 04, 2024 15:30
Revision dates for related pages
Page | Revision Date/Time |
---|---|
NFE2/Nrf2 repression | June 02, 2017 16:27 |
Activation of inflammation pathway | May 31, 2022 02:47 |
increased,Vascular endothelial dysfunction | September 01, 2021 20:37 |
Increase, Vascular disrupting effects | August 19, 2023 20:12 |
Angiogenesis dysfunction | August 28, 2023 05:00 |
Oxidative Stress | November 15, 2024 10:33 |
NFE2/Nrf2 repression leads to Activation, inflammation pathway | August 28, 2023 07:47 |
NFE2/Nrf2 repression leads to Oxidative Stress | July 04, 2024 15:28 |
Oxidative Stress leads to Activation, inflammation pathway | July 04, 2024 15:28 |
Activation, inflammation pathway leads to increased,Vascular endothelial dysfunction | August 19, 2023 20:14 |
increased,Vascular endothelial dysfunction leads to Angiogenesis dysfunction | August 28, 2023 05:01 |
Angiogenesis dysfunction leads to Increase, Vascular disrupting effects | August 28, 2023 05:03 |
Abstract
Data-driven analysis and pathway-based approaches contribute to reasonable arrangements of limited resources and laboratory tests of potential vascular disrupting compounds (pVDCs), which provides opportunities to save time and effort for toxicity research. With the widespread usage of chemicals related to vascular disrupting effects on a global scale, the concentrations generally reached up to micromolar range in environmental media and even in organisms. However, potential adverse effects and toxicity pathways of vascular disrupting compounds have not been systematically assessed. Therefore, it is necessary to review the current situation, formulate future research priorities, and characterize toxicity mechanisms. Results showed that this AOP may be invoked by effects on the inhibition of Nrf2. Downstream key events (KEs) include oxidative stress, Inflammation, Vascular endothelial dysfunction. KE relationships (KERs) lead to Angiogenesis dysfunction. The severity of adverse outcomes (vascular disrupting effects) would ultimately vary by anatomical region, organ system, and physiological state when an MIE is invoked. This study brought insights into facilitating the complement of AOP efficiently, as well as establishing toxicity pathways framework to inform risk assessment of emerging pVDCs.
AOP Development Strategy
Context
This AOP focuses on the vascular disrupting effect via inhibiting the Nrf2-signaling pathway. The abnormal expression of Nrf2 plays an important role in the vasculogenesis and angiogenesis. The postulated molecular initiating event (MIE) for this AOP may be invoked by effects on the inhibition of Nrf2. Downstream key events (KEs) include oxidative stress, Inflammation, Vascular endothelial dysfunction. KE relationships (KERs) leading to Angiogenesis dysfunction. The severity of adverse outcomes (vascular disrupting effects) would ultimately vary by anatomical region, organ system, and physiological state when an MIE is invoked. Furthermore, in order to elucidate the AOP of vascular disrupting effect better, the established AOPs are included.
Strategy
Summary of the AOP
Events:
Molecular Initiating Events (MIE)
Key Events (KE)
Adverse Outcomes (AO)
Type | Event ID | Title | Short name |
---|
MIE | 1417 | NFE2/Nrf2 repression | NFE2/Nrf2 repression |
KE | 1392 | Oxidative Stress | Oxidative Stress |
KE | 2009 | Activation of inflammation pathway | Activation, inflammation pathway |
KE | 1928 | increased,Vascular endothelial dysfunction | increased,Vascular endothelial dysfunction |
KE | 2181 | Angiogenesis dysfunction | Angiogenesis dysfunction |
AO | 2161 | Increase, Vascular disrupting effects | Increase, Vascular disrupting effects |
Relationships Between Two Key Events (Including MIEs and AOs)
Title | Adjacency | Evidence | Quantitative Understanding |
---|
NFE2/Nrf2 repression leads to Oxidative Stress | adjacent | High | High |
Oxidative Stress leads to Activation, inflammation pathway | adjacent | High | High |
Activation, inflammation pathway leads to increased,Vascular endothelial dysfunction | adjacent | High | High |
increased,Vascular endothelial dysfunction leads to Angiogenesis dysfunction | adjacent | High | High |
Angiogenesis dysfunction leads to Increase, Vascular disrupting effects | adjacent | High | High |
NFE2/Nrf2 repression leads to Activation, inflammation pathway | non-adjacent | High | High |
Network View
Prototypical Stressors
Life Stage Applicability
Life stage | Evidence |
---|---|
All life stages | High |
Taxonomic Applicability
Sex Applicability
Sex | Evidence |
---|---|
Mixed | High |
Overall Assessment of the AOP
The biological plausibility of KERs is strong due to the available mechanistic evidence present in studies from a wide variety of taxa. Nrf2 inhibition causes oxidative stress and a variety of cellular responses. Jeong et al. used a weight-of-evidence approach in analyzing TOXCAST data, and proposed the putative AOP pathway from MIE Increased Reactive Oxygen Species to KE Oxidative Stress to KE Increase, Inflammation. Support for the essentiality of the key events can be obtained from a wide diversity of taxonomic groups, with lab rats, mice, cell lines, and zebrafish. Some studies provided evidence including antagonism, knock-outs, or knock-ins to probe the necessity of MIE and KE. Furthermore, the AOP can be anticipated based on broader chemicals, which include PCBs, BPA, arsenic, cadmium, lead, and air pollution (PM2:5). The empirical support of KERs is largely found in toxicological studies derived from reference chemicals with dose-response and temporal concordance assessed. However, more studies are needed to explore the dose concordance, incidence concordance, and temporal concordance.
Domain of Applicability
- Life Stage Applicability
The AOPs are not life stage specific
- Taxonomic Applicability
Term |
Scientific Term |
Evidence |
Links |
Human |
Homo sapiens |
Low |
https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?mode=Info&id=9606 |
Mouse |
Mus musculus |
High |
https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?mode=Info&id=10090 |
Zebrafish |
Danio rerio |
High |
https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?mode=Info&id=7955 |
- Sex Applicability
Mixed
Essentiality of the Key Events
The essentiality of KERs is strong due to various evidence from different controlled experimental designs with controls. Exposure to various chemical stressors has induced oxidative stress from Nrf2 inhibition. In this AOP we are focusing on the KERs between Nrf2 inhibition, oxidative stress, inflammation, vascular endothelial dysfunction, angiogenesis disfunction, vascular disrupting effects. Support for the essentiality of the key events can be obtained from a wide diversity of taxonomic groups, with lab rats, mice, cell lines, and zebrafish.
Evidence Assessment
The QWOE approach is an analytical method that utilizes causality criteria to assess the evidence-supported postulated AOP[4]. Firstly, the hypothesis of action was presented and the quantitative evaluation of evidence ranging from no evidence (0) to strong for each category (3, strong and −3, strong counter) utilizing the evolved MIEs, KEs, and KERs. Subsequently, a ranked importance-based numerical weight was assigned to Bradford Hill causal considerations, and the composite score and confidence score for MIEs, KEs, and entire AOP were evaluated.
Assigned weight | Qualitative rating | |||||
MIE | KE1 | KE2 | KE3 | KE4 | ||
Biological plausibility | Some in vivo and in vitro evidence suggest that the chemicals can cause the vascular toxicity | |||||
Essentiality empirical support | 0.4 | 1 | 1 | 1 | 1 | 1 |
Dose and incidence concordance | 0.2 | 3 | 3 | 3 | 3 | 3 |
Empirical support temporal concordance | 0.2 | 3 | 3 | 3 | 3 | 3 |
Consistency across test systems | 0.1 | 3 | 3 | 3 | 3 | 3 |
Analogy mutiple studies support KE and KER | 0.1 | 3 | 3 | 3 | 3 | 3 |
Score | 1 | 2.2 | 2.2 | 2.2 | 2.2 | 2.2 |
AOP Score | 0.733333 |
Known Modulating Factors
Modulating Factor (MF) | Influence or Outcome | KER(s) involved |
---|---|---|
Quantitative Understanding
Optional field to provide quantitative weight of evidence descriptors.
Considerations for Potential Applications of the AOP (optional)
References
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