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Relationship: 3315

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, DNA strand breaks leads to Altered Stress Response Signaling

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
Deposition of energy leads to abnormal vascular remodeling adjacent High Moderate Vinita Chauhan (send email) Open for citation & comment WPHA/WNT Endorsed
Deposition of Energy Leading to Learning and Memory Impairment adjacent Moderate Low Vinita Chauhan (send email) Open for citation & comment WPHA/WNT Endorsed

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

Sex Applicability

An indication of the the relevant sex for this KER. More help
Sex Evidence
Male Moderate
Female Low

Life Stage Applicability

An indication of the the relevant life stage(s) for this KER.  More help
Term Evidence
Juvenile Low
Adult Moderate

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

DNA strand breaks can lead to altered signaling of various pathways through the DNA damage response. DNA strand breaks, which are a form of DNA damage, can induce ataxia telangiectasia mutated (ATM) and ATM/RAD3-related (ATR), two phosphoinositide 3-kinase (PI3K)-related serine/threonine kinases (PIKKs) (Abner and McKinnon, 2004; Lee and McKinnon, 2007; Nagane et al., 2021; Sylvester et al., 2018; Thadathil et al., 2019; Wang et al., 2020; Wang et al., 2017). Following DNA strand breaks, cellular DNA damage response signaling can phosphorylate downstream proteins and activate several transcription factors and pathways (Wang et al., 2017). Spontaneous DNA strand breaks from endogenous sources will induce signaling as a normal response to facilitate DNA repair. However, excessive DNA damage induced by a stressor will result in increased activation of these pathways and subsequent harmful downstream effects. Stress response signaling pathways induced by DNA strand breaks include p53/p21 (Abner and McKinnon, 2004; Baselet et al., 2018; Lee and McKinnon, 2007; Nagane et al., 2021; Sylvester et al., 2018; Thadathil et al., 2019; Wang et al., 2020; Wang et al., 2017), caspase (Abner and McKinnon, 2004; Baselet et al., 2019; Wang et al., 2020; Wang et al., 2016) and mitogen-activated protein kinase (MAPK) family pathways (Ghahremani et al., 2002; Nagane et al., 2021). 

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 Supporting this KER

Addresses the scientific evidence supporting KERs in an AOP setting the stage for overall assessment of the AOP. More help

Overall weight of evidence: Moderate

Biological Plausibility
Addresses the biological rationale for a connection between KEupstream and KEdownstream.  This field can also incorporate additional mechanistic details that help inform the relationship between KEs, this is useful when it is not practical/pragmatic to represent these details as separate KEs due to the difficulty or relative infrequency with which it is likely to be measured.   More help

There is strong evidence supporting the link between DNA strand breaks leading to altered stress response signaling. Single strand breaks (SSBs) or double strand breaks (DSBs) in DNA from both endogenous and exogenous sources can induce the DNA damage response, which can result in the induction of various signaling pathways (Baselet et al., 2019). DNA strand breaks are well known to lead to the activation of ATM and ATR as part of the normal DNA damage response (Abner and McKinnon, 2004; Baselet et al., 2019; Lee and McKinnon, 2007; Nagane et al., 2021; Sylvester et al., 2018; Thadathil et al., 2019; Wang et al., 2020; Wang et al., 2017; Wang et al., 2016). While ATM tends to be recruited to DSBs, ATR is recruited by many types of DNA damage including both DSBs and SSBs (Maréchal and Zou, 2013; Wang et al., 2017). Following a DNA DSB, the Mre11-Rad50-Nbs1 (MRN) complex senses and directly binds to the DNA ends at the site of the break, which subsequently activates ATM (Lee and McKinnon, 2007; Maréchal and Zou, 2013). Following a DNA SSB, resection of the damaged strand by apurinic/apyrimidinic endonuclease (APE)1/APE2 is followed by coating the single-stranded DNA with replication protein A (RPA), where the recruitment of the ATR- ATR interacting protein (ATRIP) complex and the activation of ATR occurs (Caldecott, 2022; Maréchal and Zou, 2013). 

ATM and ATR can phosphorylate over 700 proteins (Nagane et al., 2021), and phosphorylation of key signaling proteins by ATM/ATR will alter signaling in their respective pathways. High levels of DNA strand breaks induced by exogenous stressors will enhance ATM/ATR activation and subsequently further activate downstream signaling, leading to downstream consequences. The extracellular signal-regulated kinase (ERK), c-Jun N-terminal kinase (JNK) and p38 MAPK subfamily pathways can be phosphorylated and activated by ATM/ATR (Ghahremani et al., 2002; Nagane et al., 2021). Additionally, ATM/ATR can phosphorylate p53 on serine 15 to enhance the stability of p53, leading to activation of the p53 pathway and changes in the transcriptional activity of p53 (Abner and McKinnon, 2004; Baselet et al., 2019; Lee and McKinnon, 2007; Nagane et al., 2021; Sylvester et al., 2018; Thadathil et al., 2019; Wang et al., 2020; Wang et al., 2017; Wang et al., 2016). The apoptosis pathway downstream of p53 can also be activated by DNA strand breaks (Abner and McKinnon, 2004; Baselet et al., 2019; Lee and McKinnon, 2007; Thadathil et al., 2019; Wang et al., 2020). 

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

None identified 

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

Modulating Factor 

Details 

Effects on the KER 

References 

Nitroxides 

Increased concentration 

Decreased DNA strand breaks. 

DeGraff et al., 1992; Citrin & Mitchel, 2014 

5-fluorouracil 

Increased concentration 

Increased DNA strand breaks. 

De Angelis et al., 2006; Citrin & Mitchel, 2014 

Thiols 

Increased concentration 

Decreased DNA strand breaks. 

Milligan et al., 1995; Citrin & Mitchel, 2014 

Cisplatin 

Increased concentration 

Decreased DNA break repair. 

Sears & Turchi; Citrin & Mitchel, 2014 

Response-response Relationship
Provides sources of data that define the response-response relationships between the KEs.  More help
Time-scale
Information regarding the approximate time-scale of the changes in KEdownstream relative to changes in KEupstream (i.e., do effects on KEdownstream lag those on KEupstream by seconds, minutes, hours, or days?). More help
Known Feedforward/Feedback loops influencing this KER
Define whether there are known positive or negative feedback mechanisms involved and what is understood about their time-course and homeostatic limits. More help

Not identified 

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

Evidence for this relationship is predominantly from studies using rat- and mouse-derived cells, with some in vivo evidence in mice and rats. There is in vivo evidence in male animals, but no in vivo studies specify the use of female animals. In vivo evidence is from adult models. 

References

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

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