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AOP: 517

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

Pregnane X Receptor (PXR) activation leads to liver steatosis

Short name
A name that succinctly summarises the information from the title. This name should not exceed 90 characters. More help
PXR activation leads to liver steatosis
The current version of the Developer's Handbook will be automatically populated into the Handbook Version field when a new AOP page is created.Authors have the option to switch to a newer (but not older) Handbook version any time thereafter. More help
Handbook Version v2.6

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

Of the originating work: Chander Negi, Lola Bajard, Jiri Kohoutek, and Ludek Blaha, Faculty of Science, Masaryk University, Brno, Czech Republic

Of the content populated in the AOP-Wiki:  John R. Frisch and Travis Karschnik, General Dynamics Information Technology, Duluth, Minnesota; Daniel L. Villeneuve, US Environmental Protection Agency, Great Lakes Toxicology and Ecology Division, Duluth, MN

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
Evgeniia Kazymova   (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
  • John Frisch
  • Evgeniia Kazymova

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

OECD Information Table

Provides users with information concerning how actively the AOP page is being developed and whether it is part of the OECD Workplan and has been reviewed and/or endorsed. OECD Project: Assigned upon acceptance onto OECD workplan. This project ID is managed and updated (if needed) by the OECD. OECD Status: For AOPs included on the OECD workplan, ‘OECD status’ tracks the level of review/endorsement of the AOP . This designation is managed and updated by the OECD. Journal-format Article: The OECD is developing co-operation with Scientific Journals for the review and publication of AOPs, via the signature of a Memorandum of Understanding. When the scientific review of an AOP is conducted by these Journals, the journal review panel will review the content of the Wiki. In addition, the Journal may ask the AOP authors to develop a separate manuscript (i.e. Journal Format Article) using a format determined by the Journal for Journal publication. In that case, the journal review panel will be required to review both the Wiki content and the Journal Format Article. The Journal will publish the AOP reviewed through the Journal Format Article. OECD iLibrary published version: OECD iLibrary is the online library of the OECD. The version of the AOP that is published there has been endorsed by the OECD. The purpose of publication on iLibrary is to provide a stable version over time, i.e. the version which has been reviewed and revised based on the outcome of the review. AOPs are viewed as living documents and may continue to evolve on the AOP-Wiki after their OECD endorsement and publication.   More help
OECD Project # OECD Status Reviewer's Reports Journal-format Article OECD iLibrary Published Version
This AOP was last modified on May 26, 2024 20:40

Revision dates for related pages

Page Revision Date/Time
Activation, Pregnane-X receptor, NR1l2 May 22, 2024 12:27
Up Regulation, CD36 March 26, 2024 10:35
Increase, FA Influx March 29, 2024 11:03
Accumulation, Triglyceride March 26, 2024 13:09
Increased, Liver Steatosis May 21, 2024 10:00
Activation, Pregnane-X receptor, NR1l2 leads to Up Regulation, CD36 March 27, 2024 09:58
Up Regulation, CD36 leads to Increase, FA Influx March 27, 2024 10:00
Increase, FA Influx leads to Accumulation, Triglyceride March 29, 2024 12:08
Accumulation, Triglyceride leads to Increased, Liver Steatosis March 27, 2024 10:09

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

Pregnane X receptor (PXR) belongs to a class of nuclear receptors [Aryl hydrocarbon receptor (AHR), Constitutive androstane receptor (CAR), Oestrogen receptor (ER), Farnesoid X receptor (FXR), Glucocorticoid receptor (GR), Liver X receptor (LXR), Peroxisome proliferator-activated receptor (PPAR), Retinoic acid receptor (RAR)] that are needed for normal liver function, but for which increased expression (i.e. activation by binding by chemical stressors) lead to liver injury, including steatosis (Mellor et al. 1996).  Pregnenolone and progesterone are ligands in normal molecular activation of PXR (Mellor et al. 1996), while an increasing number of chemical stressors have been shown to increase PXR expression (Bajard et al. 2019; Moya et al. 2020).  Activation of PXR has been linked to increased gene expression of CD36 (Zhou et al. 2006).  The transmembrane protein CD36 has been shown to have a central role in fatty acid influx (Glatz et al. 2010), with fatty acid influx one of the main pathways for increase in triglycerides in livers (Angrish et al. 2016).  Increases in triglycerides can result in histological changes to cell structure and disruption of normal biochemical function, ultimately resulting in steatosis as a primary adverse outcome (Angrish et al. 2016; Mellor et al. 1996).

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

This Adverse Outcome Pathway (AOP) was developed as part of an Environmental Protection Agency effort to represent putative AOPs from peer-reviewed literature which were heretofore unrepresented in the AOP-Wiki.  The originating work for this AOP was: Negi, C.K., Bajard, L., Kohoutek, J., and Blaha, L.  2021.  An adverse outcome pathway based in vitro characterization of novel flame retardants-induced hepatic steatosis.  Environmental Pollution 289: 117855.  This publication, and the work cited within, were used create and support this AOP and its respective KE and KER pages. 

Flame retardants are of environmental and human health concern because of increased use and ability to leach into the environment.  Exposure concerns include effects on reproduction, development, neurology, and endocrine pathways (Negi et al. 2021).   This AOP focuses on a subset of endocrine disruption related to loss of lipid homeostasis, specifically the pathway in which activation of Pregnane X Receptor (PXR) leads to liver steatosis through increased fatty acid influx.  Environmental stressors result in activation of nuclear receptors linked to increases in triglyceride accumulation through several pathways.  One of the primary pathways linked to triglyceride accumulation, and focus of this AOP, is through activation of the PXR gene and coordinated molecular responses leading to increased fatty acid influx.  This pathway has been particularly well studied in mammals (humans, lab mice, lab rats).

The focus of the originating work was to use an AOP framework to integrate lines of evidence from multiple disciplines based on evolving guidance developed by the Organization for Economic Cooperation and Development (OECD).  Negi et al. (2021) provided initial network analysis based on empirical study of gene expression, lipid levels, and cell viability of human hepatocellular carcinoma cells (HepG2) exposed to 9 flame retardants (TDCIPP, TPHP, TMPP, TBBPA, EHDPP, TCEP, TNBP, TCIPP, and TBOEP) in order to obtain dose-response data.   ToxCast database analysis and in silico molecular modeling supplemented cell viability and lipid accumulation empirical data, and led to the proposed Adverse Outcome Pathway.

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

The originating authors conducted a literature search to develop a database of publications categorized by discipline or field of study: toxicology, epidemiology, exposure, and gene-environment interaction. The literature search relied on standard search engines such as Web of Science and Google Scholar, and the search strategy focused on toxicants known to disrupt lipid pathways in organisms, and diet studies with elevated levels of lipids. The originating authors reviewed references from individual citations to identify additional studies not captured through the literature search itself. They then included all relevant publications through 2023. Only studies focused primarily on developmental or neurotoxic endpoints were included; those focused on carcinogenesis or other systemic effects were not included unless there was a particular relevance to a neurotoxic or developmental outcome.

The scope of the aforementioned EPA project was limited to re-representing the AOP(s) as presented in the originating publication. The literature used to support this AOP and its constituent pages began with the originating publication and followed to the primary, secondary, and tertiary works cited therein. KE and KER page creation and re-use was determined using Handbook principles where page re-use was preferred.  

 

The authors of AOP 517 also referred to AOP 60: PXR activation to steatosis by Michelle Angrish and Brian Chorley.  In contrast to AOP 60, we have condensed the number of key events leading to increase in fatty acid influx.  We recognize that there is a complex interaction of genes within organisms, and focus attention on the role of upregulation of CD36 gene expression, leading to increased fatty acid influx.

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 239 Activation, Pregnane-X receptor, NR1l2 Activation, Pregnane-X receptor, NR1l2
KE 54 Up Regulation, CD36 Up Regulation, CD36
KE 115 Increase, FA Influx Increase, FA Influx
KE 291 Accumulation, Triglyceride Accumulation, Triglyceride
AO 459 Increased, Liver Steatosis Increased, Liver Steatosis

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

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
Life stage Evidence
Adults High
Juvenile Moderate

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
Term Scientific Term Evidence Link
Vertebrates Vertebrates High NCBI

Sex Applicability

The sex for which the AOP is known to be applicable. More help
Sex Evidence
Unspecific High

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

1. Support for Biological Plausibility of Key Event Relationships: Is there a mechanistic relationship  between KEup and KEdown consistent with established biological knowledge?

Key Event Relationship (KER)

Level of Support  

Strong = Extensive understanding of the KER based on extensive previous documentation and broad acceptance.

Relationship 3100: Activation, Pregnane-X receptor, NR1l2 leads to Up Regulation, CD36

Strong support.  The relationship between activation of Pregnane-X receptor and Up Regulation of CD36 is broadly accepted and consistently supported across taxa.

Relationship 66: Up Regulation, CD36 leads to Increase, FA Influx

Strong support.  The relationship between Up Regulation of CD36 and Increase, FA Influx is broadly accepted and consistently supported across taxa.

Relationship 132: Increase, FA Influx leads to Accumulation, Triglyceride 

Strong support. Increase, FA Influx is broadly recognized as a major pathway leading to accumulation of triglycerides, and consistently supported across taxa.

Relationship 2265: Accumulation, Triglyceride leads to Increased, Liver Steatosis

Strong support.  The relationship between accumulation of triglycerides and liver steatosis is broadly accepted and consistently supported across taxa.

Overall

Strong support.  Extensive understanding of the relationships between events from empirical studies from a variety of taxa, including frequent testing in lab mammals.

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

Life Stage: The life stage applicable to this AOP is all life stages with a liver.  Older individuals are more likely to manifest this adverse outcome pathway (adults > juveniles) due to accumulation of triglycerides.

Sex: This AOP applies to both males and females.

Taxonomic: This AOP appears to be present broadly in vertebrates, with most representative studies in mammals (humans, lab mice, lab rats).

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

2. Essentiality of Key Events: Are downstream KEs and/or the AO prevented if an upstream KE is blocked?

Key Event (KE)

Level of Support

Strong = Direct evidence from specifically designed experimental studies illustrating essentiality and direct relationship between key events.

Moderate = Indirect evidence from experimental studies inferring essentiality of relationship between key events due to difficulty in directly measuring at least one of key events.

MIE 239: Activation, Pregnane-X receptor, NR1l2

Strong support.  Activation of Pregnane-X receptor is a primary activator for increases in CD36 gene expression.  Evidence is available from toxicant and gene-knockout studies.

KE 54 Up Regulation, CD36

Strong support.  Up Regulation of CD36 expression is one gene linked to increases in fatty acid influx.   Evidence is available from toxicant, gene-knockout, and high lipid diet studies.

KE 115 Increase, FA Influx

Moderate support.  Increase in fatty acid influx is a primary factor in increased triglyceride levels in cells.  Evidence is available from toxicant and gene-knockout studies.

KE 291 Accumulation, Triglyceride 

Strong support. Accumulation of triglyceride is linked to liver steatosis.  Evidence is available from toxicant, gene-knockout, and high lipid diet studies.

AO 459 Increased, Liver Steatosis

Strong support. Liver steatosis occurs due to a variety of stressors and breakdown of multiple biochemical pathways and physiological changes with resulting increases in triglyceride levels.  Evidence is available from toxicant and high lipid diet studies.

Overall

Moderate to strong support.  Direct evidence from empirical studies from laboratory mammals for most key events, with more inferential evidence for fatty acid influx.

Evidence Assessment

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

3. Empirical Support for Key Event Relationship: Does empirical evidence support that a  change in KEup leads to an appropriate change in KEdown?

Key Event Relationship (KER)

Level of Support 

Strong =  Experimental evidence from exposure to toxicant shows consistent change in both events across taxa and study conditions. 

Relationship 3100: Activation, Pregnane-X receptor, NR1l2 leads to Up Regulation, CD36

Strong support.  Increases in Pregnane X-receptor expression lead to increases in upregulation of CD36 expression, primarily from studies examining TOXCAST data, as well as changes in gene expression levels after exposure to chemical stressors.

Relationship 66: Up Regulation, CD36 leads to Increase, FA Influx

Strong support. Increases in upregulation of CD36 expression lead to increases in fatty acid influx, primarily through measured increases in CD36 gene expression and increased triglyceride levels.  Increased fatty influx is inferred from increased triglyceride levels rather than directly observed.

Relationship 132: Increase, FA Influx leads to Accumulation, Triglyceride

Strong support. Increases in fatty acid influx is recognized as a primary pathway to accumulation of triglycerides.

Relationship 2265: Accumulation, Triglyceride leads to Increased, Liver Steatosis

Strong support. Increases in accumulation of triglyceride is recognized as a primary pathway to liver steatosis.

Overall

Strong support. Exposure from empirical studies shows consistent change in both events from a variety of taxa, including frequent testing in lab mammals.

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
Modulating Factor (MF) Influence or Outcome KER(s) involved
     

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

Angrish, M.M., Kaiser, J.P., McQueen, C.A., and Chorley, B.N.  2016. Tipping the Balance: Hepatotoxicity and the 4 Apical Key Events of Hepatic Steatosis.  Toxicological Sciences 150(2): 261-268.

Bajard, L., Melymuk, L., and Blaha, L.  2019.  Prioritization of hazards of novel flame retardants using the mechanistic toxicology information from ToxCast and Adverse Outcome Pathways. Environmental Sciences Europe 31:14.

Glatz, J.F.C., Luiken, J.J.F.P., and Bonen, A.  2010.  Membrane Fatty Acid Transporters as Regulators of Lipid Metabolism: Implications for Metabolic Disease.  Physiological Reviews 90: 367–417.

Mellor, C.L., Steinmetz, F.P., and Cronin, T.D.  2016.  The identification of nuclear receptors associated with hepatic steatosis to develop and extend adverse outcome pathways.  Critical Reviews in Toxicology, 46(2): 138-152.

Moya, M., Gomez-Lechon, M.J., Castell, J.V., and Jovera, R.  2010.  Enhanced steatosis by nuclear receptor ligands: A study in cultured human hepatocytes and hepatoma cells with a characterized nuclear receptor expression profile.  Chemico-Biological Interactions 184: 376–387.

Negi, C.K., Bajard, L., Kohoutek, J., and Blaha, L.  2021.  An adverse outcome pathway based in vitro characterization of novel flame retardants-induced hepatic steatosis.  Environmental Pollution 289: 117855.

Zhou, J., Zhai, Y., Mu, Y., Gong, H., Uppal, H., Toma, D., Ren, S., Evans, R.M., and Xie, W.  2006. A Novel Pregnane X Receptor-mediated and Sterol Regulatory Element-binding Protein-independent Lipogenic Pathway.  Journal of Biological Chemistry 281(21): 15013-15020.