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Relationship: 2566

Title

A descriptive phrase which clearly defines the two KEs being considered and the sequential relationship between them (i.e., which is upstream, and which is downstream). More help

Increase, Oxidative Stress leads to Increase, Mt Dysfunction

Upstream event
The causing Key Event (KE) in a Key Event Relationship (KER). More help
Downstream event
The responding Key Event (KE) in a Key Event Relationship (KER). More help

Key Event Relationship Overview

The utility of AOPs for regulatory application is defined, to a large extent, by the confidence and precision with which they facilitate extrapolation of data measured at low levels of biological organisation to predicted outcomes at higher levels of organisation and the extent to which they can link biological effect measurements to their specific causes.Within the AOP framework, the predictive relationships that facilitate extrapolation are represented by the KERs. Consequently, the overall WoE for an AOP is a reflection in part, of the level of confidence in the underlying series of KERs it encompasses. Therefore, describing the KERs in an AOP involves assembling and organising the types of information and evidence that defines the scientific basis for inferring the probable change in, or state of, a downstream KE from the known or measured state of an upstream KE. More help

AOPs Referencing Relationship

AOP Name Adjacency Weight of Evidence Quantitative Understanding Point of Contact Author Status OECD Status
Inhibition of mitochondrial electron transport chain (ETC) complexes leading to kidney toxicity adjacent Not Specified Not Specified Agnes Aggy (send email) Under development: Not open for comment. Do not cite Under Development

Taxonomic Applicability

Latin or common names of a species or broader taxonomic grouping (e.g., class, order, family) that help to define the biological applicability domain of the KER.In general, this will be dictated by the more restrictive of the two KEs being linked together by the KER.  More help

Sex Applicability

An indication of the the relevant sex for this KER. More help

Life Stage Applicability

An indication of the the relevant life stage(s) for this KER.  More help

Key Event Relationship Description

Provides a concise overview of the information given below as well as addressing details that aren’t inherent in the description of the KEs themselves. More help

Oxidative stress is a cellular state in which there is excess generation of reactive oxygen species (ROS) and oxidation of macromolecules (Guo et al., 2013). The oxidation of macromolecules in particular can lead to many sources of mitochondrial dysfunction, such as the peroxidation of proteins essential to calcium homeostasis within the cell, dysfunction of the mitochondrial permeability transition pore (mPTP), altered mitochondrial membrane potential, and changes in antioxidant gene expression (Kruidering et al., 1997; Belyaeva et al., 2012; Guo et al., 2013).

Evidence Collection Strategy

Include a description of the approach for identification and assembly of the evidence base for the KER. For evidence identification, include, for example, a description of the sources and dates of information consulted including expert knowledge, databases searched and associated search terms/strings.  Include also a description of study screening criteria and methodology, study quality assessment considerations, the data extraction strategy and links to any repositories/databases of relevant references.Tabular summaries and links to relevant supporting documentation are encouraged, wherever possible. More help

Evidence Map 2.0

ID Experimental Design Species Upstream Observation Downstream Observation Citation (first author, year) Notes

Evidence Map

Addresses the scientific evidence supporting KERs in an AOP setting the stage for overall assessment of the AOP. More help
Title First Author
Biological Plausibility
Dose Concordance
Temporal Concordance
Incidence Concordance
Biological Plausibility
Dose Concordance Evidence
Temporal Concordance Evidence
Incidence Concordance Evidence
Uncertainties and Inconsistencies
Addresses inconsistencies or uncertainties in the relationship including the identification of experimental details that may explain apparent deviations from the expected patterns of concordance. More help

Uncertainties and inconsistencies in this KER are listed below:

  1. One article had data which showed that a decrease in membrane potential preceded ROS formation when investigating temporal concordance (Kruidering et al., 1997). A decrease in mitochondrial membrane potential occurred after 10 or 15 minutes but ROS formation did not occur until 30 or 40 minutes when pig kidney mitochondria were treated with 100 and 500 μM of cisplatin.  

Known modulating factors

This table captures specific information on the MF, its properties, how it affects the KER and respective references.1.) What is the modulating factor? Name the factor for which solid evidence exists that it influences this KER. Examples: age, sex, genotype, diet 2.) Details of this modulating factor. Specify which features of this MF are relevant for this KER. Examples: a specific age range or a specific biological age (defined by...); a specific gene mutation or variant, a specific nutrient (deficit or surplus); a sex-specific homone; a certain threshold value (e.g. serum levels of a chemical above...) 3.) Description of how this modulating factor affects this KER. Describe the provable modification of the KER (also quantitatively, if known). Examples: increase or decrease of the magnitude of effect (by a factor of...); change of the time-course of the effect (onset delay by...); alteration of the probability of the effect; increase or decrease of the sensitivity of the downstream effect (by a factor of...) 4.) Provision of supporting scientific evidence for an effect of this MF on this KER. Give a list of references.  More help

One modulating factor for the relationship between oxidative stress and mitochondrial dysfunction is age. Many sources have confirmed that mitochondrial ROS production is increased as a result of the mitohormesis hypothesis (Nissanka and Moraes, 2018; Zelenka, Dvorak, and Alan, 2015; Wei et al., 2015; Kudryavtseva et al., 2016). This theory explains that as organisms undergo cellular stresses, ROS are employed as signalling molecules for the stress response pathway (Nissanka and Moraes, 2018; Zelenka, Dvorak, and Alan, 2015; Wei et al., 2015; Kudryavtseva et al., 2016). However, as cells age, they eventually reach a threshhold of age-dependant damage whereupon ROS signalling would become chronic and would lead to mitochondrial dysfunction (Nissanka and Morans, 2018; Zelenka, Dvorak, and Alan, 2015; Wei et al., 2015; Kudryavtseva et al., 2016).

Another known modulating factor between oxidative stress and mitochondrial dysfunction is diabetes. Several studies show that mitochondrial ROS generation, mitochondrial calcium accumulation leading to mitochondrial swelling, and the opening of the mitochondrial permeability transition pore are increased in renal mitochondria from diabetic cases compared to non-diabetic renal mitochondria, and result in a quicker progression from oxidative stress to mitochondrial dysfunction (Forbes and Thorburn, 2018; Schiffer and Friederich-Persson, 2017). Diabetes causes changes in ROS generation due to the fact that cellular hyperglycemia induces increased pyruvate concentrations in the mitochondria (Forbes and Thorburn, 2018; Schiffer and Friederich-Persson, 2017). When pyruvate is used too quickly to supply the ETC with electrons the mitochondrial membrane becomes hyperpolarized and there is a resulting increase in ROS production (Schiffer and Friederich-Persson, 2017). Excessive nutrients in the cell also results in an increased need for insulin production that affects the endoplasmic reticulum (ER).because a large number of sulfide bonds must be formed to create insulin molecules and these reactions increase ROS production as a byproduct (Patergnani et al., 2021). This causes ER dysfunction and impaired protein folding, leading to a vicious cycle of mitochondrial stress leading to ER stress which leads to further mitochondrial stress, eventually inducing apoptosis. The hyperglycemic state of the cells also becomes chronic, leading to the further development of diabetes . These increases in oxidative stress are thereby able to induce heightened mitochondrial dysfunction at a faster rate than in a non-diabetic cell (Patergnani et al., 2021).

Similarly, high fat diets (HFD) have been known to induce renal dysfunction through mitochondrial dysfunction and oxidative stress (Sun et al., 2020). HFD-fed mice developed oxidative stress and mitochondrial dysfunction as a result of the upregulated expression of Gp91, a subunit of NADPH oxidase that is commonly identified as a marker of oxidative stress . Mitochondria were also more numerous in the HFD-fed mice and were releasing increased cytochrome c content, indicating that mitochondrial dysfunction was present and that it was initiating apoptosis (Sun et al., 2020).

Domain of Applicability

A free-text section of the KER description that the developers can use to explain their rationale for the taxonomic, life stage, or sex applicability structured terms. More help

The domain of applicability pertains to only eukaryotic organisms, as prokaryotic organisms do not have mitochondria (Lynch and Marinov, 2017).