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Relationship: 2815

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 Cataracts

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 occurrence of cataracts non-adjacent High High Arthur Author (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 High NCBI
mouse Mus musculus High NCBI
rat Rattus norvegicus High NCBI
rhesus monkeys Macaca mulatta Moderate NCBI
rabbit Oryctolagus cuniculus Moderate NCBI
guinea pig Cavia porcellus Moderate NCBI

Sex Applicability

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

Life Stage Applicability

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

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

Energy can be deposited onto biomolecules stochastically from various forms of radiation (both ionizing and non-ionizing). As radiation passes through an organism, it loses energy; in the process it can potentially cause direct and indirect molecular-level damage. The extent of damage occurs at various levels depending on ionization and non-ionization events (excitation of molecules). The resulting particle-radiation interactions produce a cascade of negative biological consequences that lead to the formation of opacification in the eye lens, namely cataracts. This multistep process is initiated by the deposition of radiation energy onto the DNA molecules or crystallin proteins within lens cells. As a result, DNA damage is incurred, frequently as double-strand breaks of the DNA helix. Inadequate repair of DNA damage can lead to mutations and chromosomal aberrations. Accumulation of such genetic damage in critical genes involved in cell-cycle checkpoints can promote uncontrolled cellular proliferation (Hamada 2017; Hamada et al., 2020). An abnormally high rate of cell proliferation ultimately disrupts normal lens development, which is dependent on precise spatiotemporal regulation to maintain lens transparency. The lens is a closed system and has a limited turnover of macromolecule components (Uwineza et al., 2019), therefore the buildup of damaged components, including lens crystallin proteins, contributes to opacification of the lens known as cataracts. 

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

Definition of cataracts and measurement methodology 

Cataracts are synonymously associated with lens opacification, yet there was no consistency in how cataracts were defined between studies. Such inconsistency was also apparent in the use of different methodologies to measure cataracts across different studies (Hammer et al., 2013; NCRP, 2016). Many of the scoring systems used to measure opacification were subjective, making it difficult to compare the risks observed between different studies (Jacob et al., 2011; Hamada et al., 2014). Although opacification is a direct measurement for cataracts, visual impairment was suggested to be the ultimate endpoint for radiation-induced cataracts, namely vision-impairing cataracts (VIC) (NCRP, 2016). Studies using visual acuity to measure cataracts pose challenges as the test is not specific for cataracts, even though the measurement is an indicative test for the ultimate function of the lens.  

Latency effect 

The time lapse for detection of cataracts varies roughly inversely with dose. The risk for cataracts caused by low doses of high energy particles may be underestimated in many studies due to length of the observation period used. More cataract development might have been seen with longer periods of observation. The extended latency period for cataract development posed challenges in the determination of causality, given the additional and complex confounding factors associated with aging (Ainsbury et al., 2021; Sakashita et al, 2019; Dauer et al., 2017). Whether opacification remains constant or progresses depends (in part, at least) on the level of radiation dose received; whether minor opacifications will transition to major visual impairments is also not entirely certain (Hamada et al., 2014; Shore et al., 2016; Hamada 2017; Hamada et al., 2020; Ainsbury et al., 2021). 

Partial lens irradiation 

There is evidence that non-irradiated sections of a lens can develop opacities following the irradiated sections receiving a dose of 10 or 50 mGy of X-rays. The irradiated section of the lens has a reduced number of opacities compared to lenses that were fully irradiated by the same dose, indicating a protective effect by the non-irradiated section (Worgul et al. 2005b). A second study found that opacities of partially irradiated lens are not long lasting and do not worsen over time into cataracts (Leinfelder & Riley, 1956). This suggests that some radiation-induced opacities are unable to manifest into cataracts, despite the deposition of energy initiating the relationship (Hamada & Fujimichi, 2015).  

Challenged study 

A study by Lehmann et al., 2016, showed cataracts in approximately 70% of voles from within contaminated Chernobyl zones. The study identified a positive relationship between cataracts and radiation doses of 20 – 80,000 µSv. However, the work is disputed as these cataracts detected may be due to the conditions under which the voles were preserved rather than radiation exposure (Smith et al., 2020; Laskowski et al., 2022). Furthermore, other studies did not find higher cataract rates when compared to non-exposed voles captured in the same geographical area as those in the Lehmann study (Williams, 2019).

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 (MF) MF Specification Effect(s) on the KER Reference(s)
Exposure regime   Fractionated dose exposures of high charge and low LET radiation types   Fractionated exposures of high charge particles were either effective at causing cataracts or made no difference compared with acute exposures. Results were demonstrated using 40Ar, 12C, neutrons, and 56Fe. These results were found to be in contrast to those produced with low-LET radiation, where fractionation exposures produced a tissue-sparing effect in cataract development.  Worgul et al., 1989; Ainsworth 1986; Worgul et al., 1996; Bateman et al., 1963; Worgul et al., 1993; Medvedovsky et al., 1994; Abdelkawi, 2012; Hamada, 2017 
Sex  Females and estrogen treated rats  Females among the atomic bomb survivors had a higher odds ratio of developing cataracts than males. Investigation following the radiation exposure from the Chernobyl nuclear plant also found a positive dose-response in female voles. Upon estrogen treatment, 56Fe-exposed rats had a higher and earlier onset cataract incidence than untreated animals of both sexes. 56Fe-exposed rats treated with estrogen also had a higher and earlier onset cataract incidence than ovariectomized females without the treatment under the same exposure.  Choshi et al., 1983; Dynlacht et al., 2006; Nakashima et al., 2006; Chodick et al., 2008; Bigsby et al., 2009; Garrett et al., 2020; Henderson et al., 2010; Dynlacht et al., 2011; Azizova et al., 2018; Little et al., 2018; Azizova et al., 2019 
Sex  Males  Contrary to the row above, males have also been found to have increased cataract incidence compared to females.  Henderson et al., 2009; Pawliczek et al., 2021 
Age  People below 20 (& 70) years of age  Exposure to radiation at a younger age appeared to increase the risk of developing cataracts, compared to similar exposures in older individuals. Epidemiological studies showed that the risk of developing cataracts was highly significant for those younger than 70 years of age, particularly those under 20 years of age, following exposure to the radiation released from an atomic bomb. Adults over 20 years old are less sensitive to radiation. The estimated latency period for the onset radiation-induced cataracts at five years. However, the onset time became smaller and less dose-dependent as age at exposure increased. The incidence of age-related cataracts increased at age over 50 years and became indistinguishable from radiation-induced cataracts. Results in an animal study were consistent with the results from human trials.   Choshi et al., 1983; Nakashima et al., 2006; Neriishi et al., 2012; Sakashita et al., 2019; Cox et al., 1983 
Genetics  Genes ATM, BRCA1, Ptch1, p53, Ercc2 and RAD9  Individuals who are sensitive to radiation exposure are likely to have mutations in genes associated with DNA repair. Several studies have observed early onset radiation-induced cataracts in Atm-deficient animals. See Hamada & Fujimichi (2015) for a more in-depth list of genotypes potentially increasing the risk of cataracts.  Worgul et al., 2002; Worgul et al., 2005a; Hall et al., 2006. Kleiman et al., 2007; Blakely et al., 2010; De Stefano et al., 2014; De Stefano et al., 2016; McCarron et al., 2021; Worgul et al., 2002; Hamada & Fujimichi, 2015; Barnard & Hamada, 2022; McCarron et al., 2022; Tanno et al., 2022 
Body Mass  BMI > or < “normal” range of 18.5-24.9 kg/m2  The BMI group most at risk to cataracts following irradiation is those with a BMI above or equal to 30 kg/m2 (Hazard ratio (HR) of 1.26 compared to “normal” BMI of 18.5-24.9 kg/m2). Other BMI cohorts also have elevated risk compared to the “normal” group; 0-18.4 kg/m2 people have an HR of 1.10 and 25-29.9 kg/m2 have an HR of 1.08.  Little et al., 2018 
Pre-existing Conditions  Diabetes  Individuals with diabetes are 2.18x more likely to develop cataracts following occupational radiation exposure than those without the condition.  Little et al., 2018 
Substance Use  History of cigarette use  People with a history of cigarette use have a higher risk of developing cataracts following occupational radiation exposure than people who have never smoked. Former smokers have an HR of 1.04 compared to non-smokers, which is still less than current smokers’ HR of 1.18.  Little et al., 2018 
Race  White People  White people have an elevated risk of developing radiation-induced cataracts (HR of 1) compared to Black or Other racial groups (HRs of 0.82 and 0.74).  Little et al., 2018 
Chemical modulators  Nigella sativa oil (NSO), zinc, L-carnitine, thymoquinone (TG), WR-77913, and propolis  Supplementation with antioxidants, particularly NSO, has led to decreased cataract formation following radiation-exposure. Other radioprotective agents, such as WR-77913, have led to similar results.  Menard et al., 1986; Taysi et al., 2022 

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

This KER is supported by a large body of literature and is plausible in all life stages, sexes, and organisms that have a clear lens for vision. Due to the large volume of studies, only in vivo studies were examined. The majority of the evidence supports adult humans, mice, and rats, and is not sex specific however, there is evidence supporting all ages, and sexes, as well as rabbits, voles, monkeys, guinea pigs, and rainbow trout.