This AOP is licensed under a Creative Commons Attribution 4.0 International License.

Aop: 264

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

Uncoupling of oxidative phosphorylation leading to growth inhibition via increased cell death

Short name

A name that succinctly summarises the information from the title. This name should not exceed 90 characters. More help

Uncoupling of OXPHOS leading to growth inhibition 2

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

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Authors

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

You Song

Norwegian Institute for Water Research (NIVA), Gaustadalléen 21, NO-0349 Oslo, Norway

Acknowledgement

This project was funded by the Research Council of Norway (RCN), grant no. 301397 “RiskAOP - Quantitative Adverse Outcome Pathway assisted risk assessment of mitochondrial toxicants” (https://www.niva.no/en/projectweb/riskaop), and supported by the NIVA Computational Toxicology Program, NCTP (www.niva.no/nctp).

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

You Song
Evgeniia Kazymova

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

Author status	OECD status	OECD project	SAAOP status
Open for citation & comment	Under Development	1.92	Included in OECD Work Plan

This AOP was last modified on July 16, 2022 18:37

Revision dates for related pages

Page	Revision Date/Time
Decrease, Coupling of oxidative phosphorylation	May 28, 2021 07:59
Decrease, Adenosine triphosphate pool	June 14, 2021 13:40
Decrease, Growth	July 06, 2022 07:36
Increase, Cell death	September 06, 2021 07:39
Decrease, Coupling of OXPHOS leads to Decrease, ATP pool	July 06, 2022 07:39
Decrease, ATP pool leads to Increase, Cell death	December 04, 2020 15:13
Increase, Cell death leads to Decrease, Growth	December 04, 2020 15:14

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

The proposed project aims to develop a network of AOPs for mitochondrial uncoupler mediated adverse effects on aquatic organisms.

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

The mitochondrion is central for diverse types of physiological processes, such as energy production, cell cycle regulation, lipid metabolism and ion homeostasis. Mitochondrial dysfunction has frequently been reported as a common (eco)toxicological effect induced by a wide range of environmental stressors through direct or indirect modes of action (Meyer et al., 2013). Chemical mediated mitochondrial dysfunctions are tightly associated with various diseases in human, such as neurodegeneration, cardiovascular malfunction, diabetes and cancer, and multiple types of effects in wildlife, such as metabolic disorders, growth arrest, developmental abnormalities, reproduction failure, mortality and population decline (Meyer et al., 2013). Several mitochondrial dysfunction related MIEs have been well characterized, such as uncoupling of oxidative phosphorylation (OXPHOS) and inhibition of specific protein complexes in the mitochondrial electron transport chain. These MIEs commonly affect the mitochondrial membrane potential and ATP synthetic processes, induce reactive oxygen species (ROS) and oxidative damage to DNA, protein and lipid, modulate plasma membrane ion transporter activities and trigger programmed cell death.

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

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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

1446

Decrease, Coupling of oxidative phosphorylation

Decrease, Coupling of OXPHOS

KE	1771	Decrease, Adenosine triphosphate pool	Decrease, ATP pool
KE	1825	Increase, Cell death	Increase, Cell death

1521

Decrease, Growth

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

Decrease, Coupling of OXPHOS leads to Decrease, ATP pool	adjacent
Decrease, ATP pool leads to Increase, Cell death	adjacent
Increase, Cell death leads to Decrease, Growth	adjacent

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

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