This AOP is licensed under the BY-SA license. This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. If you remix, adapt, or build upon the material, you must license the modified material under identical terms.

AOP: 347

Title

A descriptive phrase which references both the Molecular Initiating Event and Adverse Outcome.It should take the form “MIE leading to AO”. For example, “Aromatase inhibition leading to reproductive dysfunction” where Aromatase inhibition is the MIE and reproductive dysfunction the AO. In cases where the MIE is unknown or undefined, the earliest known KE in the chain (i.e., furthest upstream) should be used in lieu of the MIE and it should be made clear that the stated event is a KE and not the MIE.  More help

Toll-like receptor 4 activation and peroxisome proliferator-activated receptor gamma inactivation leading to pulmonary fibrosis

Short name
A name that succinctly summarises the information from the title. This name should not exceed 90 characters. More help
TLR4 activation, PPAR gamma activation and Pulmonary fibrosis

Graphical Representation

A graphical representation of the AOP.This graphic should list all KEs in sequence, including the MIE (if known) and AO, and the pair-wise relationships (links or KERs) between those KEs. More help
Click to download graphical representation template Explore AOP in a Third Party Tool

Authors

The names and affiliations of the individual(s)/organisation(s) that created/developed the AOP. More help

Seokjoo Yoon, Korea Institute of Toxicology, South Korea

Woo-Keun Kim, Korea Institute of Toxicology, South Korea

Mikyung Song, Korea Institute of Toxicology, South Korea

Kyuhong Lee, Korea Institute of Toxicology, South Korea

Sangwoo Lee, Korea Institute of Toxicology, South Korea

Point of Contact

The user responsible for managing the AOP entry in the AOP-KB and controlling write access to the page by defining the contributors as described in the next section.   More help
Seokjoo Yoon   (email point of contact)

Contributors

Users with write access to the AOP page.  Entries in this field are controlled by the Point of Contact. More help
  • Seokjoo Yoon

Coaches

This field is used to identify coaches who supported the development of the AOP.Each coach selected must be a registered author. More help
  • Sabina Halappanavar

Status

Provides users with information concerning how actively the AOP page is being developed, what type of use or input the authors feel comfortable with given the current level of development, and whether it is part of the OECD AOP Development Workplan and has been reviewed and/or endorsed. OECD Status - Tracks the level of review/endorsement the AOP has been subjected to. OECD Project Number - Project number is designated and updated by the OECD. SAAOP Status - Status managed and updated by SAAOP curators. More help
Handbook Version OECD status OECD project
v2.0
This AOP was last modified on April 29, 2023 16:03

Revision dates for related pages

Page Revision Date/Time
Toll-like receptor 4 activation July 09, 2020 02:59
Inactivation of PPARγ December 26, 2017 02:12
Activation, JNK September 16, 2017 10:17
Activator protein 1 activation July 09, 2020 03:07
Pin-1 activation July 09, 2020 03:10
Latent Transforming growth Factor beta expression July 09, 2020 03:14
Activation, TGF-beta pathway September 16, 2017 10:17
Induction, Epithelial Mesenchymal Transition August 27, 2023 07:39
Pulmonary fibrosis May 12, 2023 17:09
TLR4 activation leads to Activation, JNK July 09, 2020 03:19
Activation, JNK leads to AP-1 activation July 09, 2020 03:20
Activation, JNK leads to Pin-1 activation July 09, 2020 03:20
Pin-1 activation leads to TGFbeta expression July 09, 2020 03:20
TGFbeta expression leads to Activation, TGF-beta pathway July 09, 2020 03:21
Activation, TGF-beta pathway leads to EMT July 09, 2020 03:21
EMT leads to Pulmonary fibrosis July 09, 2020 03:22
Inactivation of PPARγ leads to Activation, TGF-beta pathway July 09, 2020 03:23
AP-1 activation leads to TGFbeta expression July 09, 2020 03:24

Abstract

A concise and informative summation of the AOP under development that can stand-alone from the AOP page. The aim is to capture the highlights of the AOP and its potential scientific and regulatory relevance. More help

AOP Development Strategy

Context

Used to provide background information for AOP reviewers and users that is considered helpful in understanding the biology underlying the AOP and the motivation for its development.The background should NOT provide an overview of the AOP, its KEs or KERs, which are captured in more detail below. More help

Strategy

Provides a description of the approaches to the identification, screening and quality assessment of the data relevant to identification of the key events and key event relationships included in the AOP or AOP network.This information is important as a basis to support the objective/envisaged application of the AOP by the regulatory community and to facilitate the reuse of its components.  Suggested content includes a rationale for and description of the scope and focus of the data search and identification strategy/ies including the nature of preliminary scoping and/or expert input, the overall literature screening strategy and more focused literature surveys to identify additional information (including e.g., key search terms, databases and time period searched, any tools used). More help

Summary of the AOP

This section is for information that describes the overall AOP.The information described in section 1 is entered on the upper portion of an AOP page within the AOP-Wiki. This is where some background information may be provided, the structure of the AOP is described, and the KEs and KERs are listed. More help

Events:

Molecular Initiating Events (MIE)
An MIE is a specialised KE that represents the beginning (point of interaction between a prototypical stressor and the biological system) of an AOP. More help
Key Events (KE)
A measurable event within a specific biological level of organisation. More help
Adverse Outcomes (AO)
An AO is a specialized KE that represents the end (an adverse outcome of regulatory significance) of an AOP. More help
Type Event ID Title Short name
MIE 1792 Toll-like receptor 4 activation TLR4 activation
MIE 1270 Inactivation of PPARγ Inactivation of PPARγ
KE 1292 Activation, JNK Activation, JNK
KE 1793 Activator protein 1 activation AP-1 activation
KE 1794 Pin-1 activation Pin-1 activation
KE 1795 Latent Transforming growth Factor beta expression TGFbeta expression
KE 1283 Activation, TGF-beta pathway Activation, TGF-beta pathway
KE 1457 Induction, Epithelial Mesenchymal Transition EMT
AO 1458 Pulmonary fibrosis Pulmonary fibrosis

Relationships Between Two Key Events (Including MIEs and AOs)

This table summarizes all of the KERs of the AOP and is populated in the AOP-Wiki as KERs are added to the AOP.Each table entry acts as a link to the individual KER description page. More help
Title Adjacency Evidence Quantitative Understanding
TLR4 activation leads to Activation, JNK adjacent Not Specified Not Specified
Activation, JNK leads to AP-1 activation adjacent Not Specified Not Specified
Activation, JNK leads to Pin-1 activation adjacent Not Specified Not Specified
Pin-1 activation leads to TGFbeta expression adjacent Not Specified Not Specified
TGFbeta expression leads to Activation, TGF-beta pathway adjacent Not Specified Not Specified
Activation, TGF-beta pathway leads to EMT adjacent Not Specified Not Specified
EMT leads to Pulmonary fibrosis adjacent Not Specified Not Specified
Inactivation of PPARγ leads to Activation, TGF-beta pathway adjacent Not Specified Not Specified
AP-1 activation leads to TGFbeta expression adjacent Not Specified Not Specified

Network View

This network graphic is automatically generated based on the information provided in the MIE(s), KEs, AO(s), KERs and Weight of Evidence (WoE) summary tables. The width of the edges representing the KERs is determined by its WoE confidence level, with thicker lines representing higher degrees of confidence. This network view also shows which KEs are shared with other AOPs. More help

Prototypical Stressors

A structured data field that can be used to identify one or more “prototypical” stressors that act through this AOP. Prototypical stressors are stressors for which responses at multiple key events have been well documented. More help

Life Stage Applicability

The life stage for which the AOP is known to be applicable. More help

Taxonomic Applicability

Latin or common names of a species or broader taxonomic grouping (e.g., class, order, family) can be selected.In many cases, individual species identified in these structured fields will be those for which the strongest evidence used in constructing the AOP was available. More help

Sex Applicability

The sex for which the AOP is known to be applicable. More help
Sex Evidence
Unspecific Not Specified

Overall Assessment of the AOP

Addressess the relevant biological domain of applicability (i.e., in terms of taxa, sex, life stage, etc.) and Weight of Evidence (WoE) for the overall AOP as a basis to consider appropriate regulatory application (e.g., priority setting, testing strategies or risk assessment). More help

Domain of Applicability

Addressess the relevant biological domain(s) of applicability in terms of sex, life-stage, taxa, and other aspects of biological context. More help

Essentiality of the Key Events

The essentiality of KEs can only be assessed relative to the impact of manipulation of a given KE (e.g., experimentally blocking or exacerbating the event) on the downstream sequence of KEs defined for the AOP. Consequently, evidence supporting essentiality is assembled on the AOP page, rather than on the independent KE pages that are meant to stand-alone as modular units without reference to other KEs in the sequence. The nature of experimental evidence that is relevant to assessing essentiality relates to the impact on downstream KEs and the AO if upstream KEs are prevented or modified. This includes: Direct evidence: directly measured experimental support that blocking or preventing a KE prevents or impacts downstream KEs in the pathway in the expected fashion. Indirect evidence: evidence that modulation or attenuation in the magnitude of impact on a specific KE (increased effect or decreased effect) is associated with corresponding changes (increases or decreases) in the magnitude or frequency of one or more downstream KEs. More help

Evidence Assessment

Addressess the biological plausibility, empirical support, and quantitative understanding from each KER in an AOP. More help

Known Modulating Factors

Modulating factors (MFs) may alter the shape of the response-response function that describes the quantitative relationship between two KES, thus having an impact on the progression of the pathway or the severity of the AO.The evidence supporting the influence of various modulating factors is assembled within the individual KERs. More help

Quantitative Understanding

Optional field to provide quantitative weight of evidence descriptors.  More help

Considerations for Potential Applications of the AOP (optional)

Addressess potential applications of an AOP to support regulatory decision-making.This may include, for example, possible utility for test guideline development or refinement, development of integrated testing and assessment approaches, development of (Q)SARs / or chemical profilers to facilitate the grouping of chemicals for subsequent read-across, screening level hazard assessments or even risk assessment. More help

References

List of the literature that was cited for this AOP. More help