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AOP: 624

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

Altered glucocorticoid receptor signaling leading to MASLD progression via insulin resistance-associated mitochondrial dysfunction

Short name
A name that succinctly summarises the information from the title. This name should not exceed 90 characters. More help
GR disruption leading to MASLD via IR-associated mitochondrial dysfunction
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 v2.7

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

You Song1, Jorke H. Kamstra2, Matej Oresic3,4

1 Norwegian Institute for Water Research, Økernveien 94, Oslo, Norway

2 Utrecht University, Institute for Risk Assessment Sciences (IRAS), Utrecht, the Netherlands

3 Örebro University, School of Medical Sciences, Örebro, Sweden

4 University of Turku, Turku Bioscience Centre, Turku, Finland

Acknowledgement: This project was supported by the “Investigation of endocrine-disrupting chemicals as contributors to progression of metabolic dysfunction-associated steatotic liver disease” (EDC-MASLD) consortium funded by the Horizon Europe Program of the European Union (Grant Agreement 101136259). 

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

Contributors

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

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
  • Shihori Tanabe

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
Under Development
This AOP was last modified on February 12, 2026 07:38

Revision dates for related pages

Page Revision Date/Time
Increase, Insulin resistance February 11, 2026 05:50
Increase, Adipose lipolysis February 10, 2026 05:00
Increase, Fatty acid influx February 11, 2026 06:21
Increase, Liver steatosis February 11, 2026 05:41
Increase, Hepatocellular lipotoxicity February 10, 2026 04:40
Increase, Mitochondrial dysfunction February 11, 2026 07:06
Increase, Oxidative Stress February 11, 2026 07:05
Increase, Cell injury/death May 27, 2024 07:23
Increase, Kupffer cell activation February 11, 2026 05:16
Increase, Steatohepatisis February 11, 2026 07:32
Increase, Transforming growth factor-beta signaling February 11, 2026 05:39
Increase, Hepatic stellate cell activation February 11, 2026 07:04
Increase, Collagen accumulation February 11, 2026 06:58
Increase, Cirrhosis February 11, 2026 07:34
Increase, Liver fibrosis February 11, 2026 05:35
Increase, Regenerative nodule formation February 10, 2026 06:47
Increase, Glucocorticoid receptor activation February 12, 2026 07:24
Increase, GR activation leads to Increase, Insulin resistance February 12, 2026 07:38
Increase, Insulin resistance leads to Increase, Adipose lipolysis February 10, 2026 08:59
Increase, Adipose lipolysis leads to Increase, FA influx February 10, 2026 08:59
Increase, FA influx leads to Increase, Liver steatosis February 10, 2026 08:59
Increase, Liver steatosis leads to Increase, Hepatocellular lipotoxicity February 10, 2026 08:59
Increase, Hepatocellular lipotoxicity leads to Increase, Mitochondrial dysfunction February 10, 2026 08:59
Increase, Mitochondrial dysfunction leads to Increase, Oxidative Stress November 09, 2017 04:09
Increase, Oxidative Stress leads to Cell injury/death February 07, 2020 09:32
Cell injury/death leads to Increase, Kupffer cell activation November 29, 2016 19:54
Increase, Kupffer cell activation leads to Increase, Steatohepatisis February 10, 2026 09:00
Increase, Steatohepatisis leads to Activation of TGF-β signaling February 10, 2026 09:00
Activation of TGF-β signaling leads to Increase, HSC activation February 10, 2026 09:01
Increase, HSC activation leads to Increase, Collagen accumulation December 05, 2018 08:51
Increase, Collagen accumulation leads to Increase, Liver fibrosis December 05, 2018 08:52
Increase, Liver fibrosis leads to Increase, Regenerative nodule formation February 10, 2026 09:02
Increase, Regenerative nodule formation leads to Increase, Cirrhosis February 10, 2026 09:02

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

This adverse outcome pathway (AOP) describes a mechanistically coherent sequence linking altered glucocorticoid receptor (GR) signaling to the progression of metabolic dysfunction–associated steatotic liver disease (MASLD), including steatosis, steatohepatitis (MASH), fibrosis, and cirrhosis. The pathway integrates endocrine disruption–induced perturbations in GR signaling with systemic insulin resistance, dysregulated adipose lipolysis, increased hepatic free fatty acid (FFA) influx, hepatocellular lipotoxicity, mitochondrial dysfunction, oxidative stress, and inflammatory and fibrogenic responses within the liver. Downstream activation of Kupffer cells, hepatic stellate cells, and TGF-β signaling drives extracellular matrix deposition and fibrotic remodeling, culminating in advanced liver disease outcomes. This AOP is particularly relevant for the identification and prioritization of endocrine-disrupting chemicals (EDCs) that interfere with GR signaling and contribute to MASLD progression, supporting its application in screening, hazard identification, and the development of integrated testing strategies.

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

MASLD is a highly prevalent chronic liver disease driven by metabolic dysfunction, insulin resistance, and lipotoxic stress, with increasing evidence that endocrine signaling perturbations play a critical upstream role. Glucocorticoid receptor (GR) signaling is central to the regulation of glucose and lipid metabolism, adipose tissue lipolysis, mitochondrial function, and inflammatory responses. Dysregulation of GR signaling—whether through chronic activation, impaired feedback control, or chemical interference—has been linked to systemic insulin resistance and altered lipid fluxes that place a metabolic burden on the liver.

This AOP was developed to capture the biological plausibility and mechanistic continuity between altered GR signaling and MASLD progression, with a specific emphasis on insulin resistance–associated mitochondrial dysfunction as a unifying driver of disease advancement. The pathway reflects clinically relevant disease stages and aligns with regulatory interest in identifying upstream endocrine-mediated mechanisms contributing to chronic metabolic liver disease.

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 development of this AOP was informed by expert-driven scoping combined with targeted literature evaluation across endocrinology, metabolic disease, toxicology, and hepatology. Initial pathway framing was based on well-established physiological roles of GR signaling in metabolic homeostasis and on clinical and experimental evidence linking glucocorticoid dysregulation to insulin resistance and fatty liver disease.

Focused literature searches were conducted to identify evidence supporting individual key events (KEs) and key event relationships (KERs), including:

  • Altered GR signaling and insulin resistance

  • Adipose tissue lipolysis and hepatic FFA influx

  • Hepatocellular lipotoxicity and mitochondrial dysfunction

  • Oxidative stress, cell injury, and inflammatory activation

  • Fibrogenic signaling pathways and disease stage progression

Priority was given to peer-reviewed human, animal, and mechanistic in vitro studies demonstrating causal or concordant relationships between upstream and downstream events. Evidence was screened for biological plausibility, consistency across models, and relevance to regulatory toxicology and EDC assessment.

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 122 Increase, Glucocorticoid receptor activation Increase, GR activation
KE 2119 Increase, Insulin resistance Increase, Insulin resistance
KE 2408 Increase, Adipose lipolysis Increase, Adipose lipolysis
KE 115 Increase, Fatty acid influx Increase, FA influx
KE 2405 Increase, Hepatocellular lipotoxicity Increase, Hepatocellular lipotoxicity
KE 177 Increase, Mitochondrial dysfunction Increase, Mitochondrial dysfunction
KE 1392 Increase, Oxidative Stress Increase, Oxidative Stress
KE 55 Increase, Cell injury/death Cell injury/death
KE 134 Increase, Kupffer cell activation Increase, Kupffer cell activation
KE 1271 Increase, Transforming growth factor-beta signaling Activation of TGF-β signaling
KE 265 Increase, Hepatic stellate cell activation Increase, HSC activation
KE 68 Increase, Collagen accumulation Increase, Collagen accumulation
KE 2406 Increase, Regenerative nodule formation Increase, Regenerative nodule formation
AO 459 Increase, Liver steatosis Increase, Liver steatosis
AO 1489 Increase, Steatohepatisis Increase, Steatohepatisis
AO 344 Increase, Liver fibrosis Increase, Liver fibrosis
AO 2407 Increase, Cirrhosis Increase, Cirrhosis

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

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
Term Scientific Term Evidence Link
human Homo sapiens NCBI
mouse Mus musculus NCBI
rat Rattus norvegicus NCBI

Sex Applicability

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

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

This AOP is biologically plausible and supported by a substantial body of empirical evidence linking endocrine disruption, insulin resistance, mitochondrial dysfunction, and MASLD progression. The sequence of events reflects conserved metabolic and inflammatory processes observed across species, with strong concordance between experimental models and human disease pathology.

The AOP is well-suited for regulatory applications focused on hazard identification and prioritization, particularly for chemicals that modulate GR signaling but may not induce overt liver toxicity in short-term assays. While quantitative understanding varies across individual KERs, the overall weight of evidence supports the use of this AOP in integrated testing and assessment frameworks rather than as a stand-alone risk assessment tool.

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
  • Taxa: Primarily mammals (rodents and humans)

  • Life stage: Adolescents and adults (relevance highest in metabolically mature organisms)

  • Sex: Both sexes; sex-specific sensitivity may occur due to hormonal and metabolic differences

  • Biological context: Metabolic dysfunction, obesity, insulin resistance, and chronic endocrine perturbation

The AOP is most applicable under conditions of sustained metabolic stress and is not intended to represent acute liver injury mechanisms.

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

Essentiality of the KEs is supported by both direct and indirect evidence demonstrating that modulation of upstream events alters the occurrence or severity of downstream outcomes:

  • Altered GR signaling: Experimental and clinical modulation of GR activity directly influences insulin sensitivity, lipid metabolism, and hepatic fat accumulation.

  • Insulin resistance: Genetic and pharmacological interventions that exacerbate or alleviate insulin resistance correspondingly increase or reduce hepatic steatosis and progression to MASH.

  • Mitochondrial dysfunction and oxidative stress: Restoration of mitochondrial function or antioxidant capacity attenuates hepatocellular injury, inflammation, and fibrogenesis.

  • Inflammatory and fibrogenic activation: Inhibition of Kupffer cell activation, hepatic stellate cell activation, or TGF-β signaling reduces fibrosis progression in multiple models.

Collectively, these findings support the essential role of each KE in driving the downstream sequence leading to adverse liver outcomes.

Evidence Assessment

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

Across the KERs in this AOP:

  • Biological plausibility is strong, grounded in established metabolic and inflammatory signaling pathways.

  • Empirical support is moderate to strong, with consistent directional responses observed across species and experimental systems.

  • Quantitative understanding is emerging, particularly for relationships linking insulin resistance, mitochondrial dysfunction, and oxidative stress, though gaps remain in defining precise thresholds and response-response relationships.

Overall, the weight of evidence supports a coherent and credible AOP suitable for regulatory use.

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
Nutritional status (e.g., high-fat diet) Exacerbates insulin resistance and hepatic lipotoxicity GR signaling → insulin resistance; FFA influx → steatosis
Sex hormones Modulate GR sensitivity and metabolic responses GR signaling → insulin resistance
Genetic susceptibility Alters mitochondrial resilience and fibrotic responses Mitochondrial dysfunction → oxidative stress; fibrosis progression
Inflammatory milieu Amplifies cell injury and fibrogenesis Oxidative stress → inflammation → fibrosis

Quantitative Understanding

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

Quantitative data are available for several individual KERs (e.g., insulin resistance–steatosis, mitochondrial dysfunction–oxidative stress), but an integrated quantitative AOP model is not yet established. This AOP is therefore best applied in a qualitative or semi-quantitative context to support screening and prioritization rather than definitive risk characterization.

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

This AOP may support:

  • Screening and prioritization of GR-modulating chemicals as potential MASLD contributors

  • Development of integrated testing strategies combining endocrine, metabolic, and hepatic endpoints

  • Grouping and read-across of EDCs with shared GR-mediated modes of action

  • Identification of high-value key events for assay development and refinement

References

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