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Relationship: 2832

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

Energy Deposition leads to Tissue resident cell activation

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 Leading to Learning and Memory Impairment adjacent Moderate Moderate Brendan Ferreri-Hanberry (send email) Open for citation & comment

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
Unspecific Moderate

Life Stage Applicability

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

Deposition of energy refers to particles that have sufficient energy to penetrate biological tissue leading to ionization events that can break water molecules and form free radicals. These can damage sensitive macromolecules such as DNA, protein and lipids (Chen, Oyarzabal & Hong, 2016; Mavragani et al., 2016). Ionization events occur from many types of radiation including, X-rays, gamma-rays, alpha particles, beta particles, heavy ions, and neutrons. X-rays and gamma rays induce sparse ionization events and energy is exponentially absorbed by tissues. Conversely, energetic charged particles can cause dense ionization events, leading to clustered damage and secondary ionization events (Niemantsverdriet et al., 2012). 

When sufficient energy is deposited it can damage the cellular environment; this releases danger signals either passively when the ionization events induce cell death, or actively by cells undergoing life threatening stress (Denning et al., 2019; Vénéreau, Ceriotti & Bianchi, 2015). These signaling molecules, such as alarmins or damage-associated molecular pattern molecules (DAMPs),  promote an inflammatory and regenerative environment by activating tissue resident cells (Chen, Oyarzabal & Hong, 2016; Vénéreau, Ceriotti & Bianchi, 2015). Resident immune cells, such as macrophages and dendritic cells, use pattern recognition receptors on their surfaces to detect alarmins and DAMPs which initiate their activation and proliferation (Chen, Oyarzabal & Hong, 2016; Mavragani et al., 2016). Activated cells can then regulate the recruitment of circulating immune cells and initiate inflammation to remove damaged cells, eliminate harmful stimuli, and promote tissue repair (Schaue et al., 2015; Roh & Sohn, 2018).  However, uncontrolled inflammation can then lead to a state of disease progression. 

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

The strategy for collating the evidence to support the relationship is described in Kozbenko et al 2022. Briefly, a scoping review methodology was used to prioritize studies based on a population, exposure, outcome, endpoint statement.

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
  • There is no consensus about sex-related responses to radiation exposure and the resulting activation of tissue resident cells. Krukowski et al. (2018a) and Parihar et al. (2020) found that female mice were immune to the effects of 0.3 and 0.5 Gy radiation on cell activation, while Raber et al. (2019) found that only female mice showed increased activated cells after 2 Gy. 

  • A large amount of uncertainty surrounds the impact of low-dose ionizing radiation on tissue resident cell activation. More evidence is required to determine the relationship between ionizing radiation at doses < 1 Gy and tissue-resident cell activation. 

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  

Sex 

Male and female mice had different responses in tissue resident cell activation following irradiation. 

Male mice typically showed an increase in microglia activation, while female mice showed no significant changes. However, not all studies found this trend. 

Krukowski et al., 2018a; Parihar et al., 2020; Raber et al., 2019 

Drug 

Colony stimulating factor 1 receptor inhibitor PLX5622 (eliminates microglia). 

PLX5622 reduced the number of activated microglia. 

Acharya et al., 2016; Allen et al., 2020; Krukowski et al., 2018b 

Drug 

P2X7 receptor (associated with microglial activation) inhibitor Brilliant Blue G. 

Treatment attenuated the increase in microglial activation both in vivo and in vitro after irradiation. 

Xu et al., 2015 

Age 

10-day-old and 10-week-old mice. 

At 10 days old, irradiated mice showed increased glial activation, while at 10 weeks old they did not show significant changes in activation. 

Casciati et al., 2016 

 7-, 17- and 27-month-old mice. 

Activation of microglia after irradiation decreased as age was increased. 

Hua et al., 2012 

Genetics 

Extracellular SOD knockout mice. 

Microglial activation was increased more in SOD knockout mice than wild-type mice after 5 Gy gamma rays. 

Rola et al., 2007 

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 is related to any vertebrates and invertebrates with an innate immune system regardless of sex (Beck & Habicht, 1996, Sonetti et al., 1994, Rowley, 1996). The deposition of energy is most detrimental in utero because tissue resident cells and their pro-inflammatory responses can cause permanent tissue damage  (Heiervang et al., 2010, McCollough et al., 2007, Kannan et al., 2007).