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AOP: 627

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 endoplasmic reticulum stress

Short name
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GR disruption leading to MASLD via IR-associated ER stress
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

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Authors

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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

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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 07:42

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, Endoplasmic reticulum stress February 11, 2026 06:00
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, Liver fibrosis February 11, 2026 05:35
Increase, Regenerative nodule formation February 10, 2026 06:47
Increase, Cirrhosis February 11, 2026 07:34
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, ER stress February 11, 2026 06:16
Increase, ER stress leads to Cell injury/death February 11, 2026 06:16
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

his adverse outcome pathway (AOP) describes a mechanistic sequence linking altered glucocorticoid receptor (GR) signaling to the progression of metabolic dysfunction–associated steatotic liver disease (MASLD) through insulin resistance–associated endoplasmic reticulum (ER) stress. Disruption of GR signaling promotes systemic insulin resistance, enhanced adipose lipolysis, and increased hepatic free fatty acid (FFA) influx, resulting in hepatocellular lipotoxicity. Lipid overload and impaired insulin signaling induce ER stress, triggering unfolded protein response activation, hepatocyte injury, and inflammatory signaling. Subsequent activation of Kupffer cells, hepatic stellate cells, and TGF-β–mediated profibrotic pathways drives collagen deposition, fibrosis, and progression to cirrhosis. This AOP provides a biologically plausible and regulatory-relevant framework for identifying endocrine-disrupting chemicals (EDCs) that promote MASLD progression through GR-mediated insulin resistance and ER stress pathways.

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

Endoplasmic reticulum (ER) stress is a central cellular stress response implicated in the progression from simple steatosis to steatohepatitis and fibrosis. In hepatocytes, insulin resistance, lipid overload, and disrupted metabolic signaling converge on the ER, overwhelming protein folding capacity and activating maladaptive unfolded protein response pathways. Chronic ER stress promotes hepatocyte injury, inflammatory signaling, and fibrogenesis.

Glucocorticoid receptor (GR) signaling plays a key role in metabolic homeostasis, insulin sensitivity, and lipid flux regulation. Altered GR signaling—whether due to dysregulation or chemical interference—can induce systemic insulin resistance, increased adipose lipolysis, and hepatic lipid influx, thereby promoting ER stress. This AOP was developed to explicitly capture ER stress as a mechanistically distinct and biologically important mediator linking GR dysregulation to MASLD progression.

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 AOP was developed using an expert-driven conceptual framework supported by targeted literature evaluation across endocrinology, metabolism, ER stress biology, and chronic liver disease. Initial scoping identified insulin resistance–associated ER stress as a recurring mechanistic feature in experimental and clinical MASLD progression.

Focused literature searches were conducted to identify evidence supporting:

  • GR signaling perturbation and systemic insulin resistance

  • Adipose lipolysis and hepatic FFA influx

  • Induction of ER stress by lipid overload and insulin resistance

  • ER stress–mediated hepatocyte injury and inflammatory activation

  • Fibrogenic signaling driven by TGF-β and hepatic stellate cell activation

Evidence from human studies, animal models, and mechanistic in vitro systems was prioritized, with emphasis on chronic and low-dose perturbations relevant to endocrine disruption.

Summary of the AOP

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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 1815 Increase, Endoplasmic reticulum stress Increase, ER 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)

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Network View

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Prototypical Stressors

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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 moderate to strong empirical evidence linking insulin resistance, ER stress, and progressive liver injury. The sequence of key events reflects conserved cellular stress and inflammatory mechanisms observed across mammalian species and aligns with established pathological features of MASLD progression.

The AOP is particularly relevant for hazard identification and prioritization of chemicals that interfere with GR signaling and metabolic regulation but may not directly target mitochondrial pathways. It is well suited for integration into AOP networks describing multiple converging routes to MASLD.

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: Mammals (humans and laboratory rodents)

  • Life stage: Primarily adolescents and adults

  • Sex: Applicable to both sexes; sex-specific differences may occur due to hormonal and metabolic modulation

  • Biological context: Chronic metabolic stress, insulin resistance, and endocrine perturbation

This AOP is not intended to represent acute hepatotoxicity and is most applicable to chronic exposure scenarios.

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 supporting the essentiality of the key events includes:

  • Altered GR signaling: Experimental modulation of GR activity alters insulin sensitivity and lipid flux.

  • Insulin resistance: Genetic and pharmacological induction or attenuation of insulin resistance directly influences hepatic lipid accumulation and ER stress.

  • ER stress: Inhibition of ER stress pathways reduces hepatocyte injury, inflammation, and disease severity in experimental MASLD models.

  • Inflammatory and fibrogenic activation: Suppression of Kupffer cell activation, hepatic stellate cell activation, or TGF-β signaling attenuates fibrosis progression.

Together, these findings support the essential role of each KE in driving downstream MASLD 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, supported by well-characterized links between insulin resistance, lipid overload, ER stress, and liver injury.

  • Empirical support is moderate to strong, with consistent directional evidence across in vivo and in vitro models.

  • Quantitative understanding is limited, particularly regarding thresholds for ER stress–induced transition from adaptive to maladaptive responses.

Overall, the weight of evidence supports confidence in the pathway for regulatory-relevant applications.

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
Nutrient excess Exacerbates insulin resistance and ER stress Insulin resistance → ER stress
Lipid species composition Modulates ER membrane stress and toxicity Lipotoxicity → ER stress
Chaperone capacity Influences resilience to ER stress ER stress → cell injury
Inflammatory milieu Amplifies hepatocyte injury and fibrosis Cell injury → fibrosis

Quantitative Understanding

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Quantitative relationships have been described for individual links between insulin resistance, lipid overload, and ER stress markers. However, integration across downstream inflammatory and fibrotic events remains limited. Accordingly, this AOP is best applied qualitatively or semi-quantitatively.

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:

  • Identification of GR-modulating chemicals that induce ER stress–mediated liver injury

  • Integration of ER stress biomarkers into MASLD-relevant testing strategies

  • Complementary assessment of non-mitochondrial stress pathways in MASLD

  • AOP network development capturing converging intracellular stress responses

References

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