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Relationship: 2814

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 Increase, Cell Proliferation

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 Moderate Moderate 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 High NCBI
rat Rattus norvegicus Moderate NCBI
rabbit Oryctolagus cuniculus Moderate NCBI

Sex Applicability

An indication of the the relevant sex for this KER. More help
Sex Evidence
Unspecific 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). Energy deposition onto cells causes an alteration to a variety of cellular functions (BEIR, 1990). Under homeostatic conditions, cells duplicate at a rate set by the speed of the cell cycle. Any disruption in regulators of the cell cycle can result in cellular transformation (Lee & Muller, 2010). Cell proliferation rates can be altered via deposited energy-induced genetic alterations, signaling pathway activation, and increased production of growth factors (Reynolds & Schecker, 1995; Liang et al., 2016; Vigneux et al., 2022).  

Proliferative rates increase for cells when genes that regulate this activity are altered in such a way that they are either encouraging or unable to discourage replication. Oncogenes promote abnormal proliferation and can be turned on by genetic mutations. These types of mutations are known to occur when cells are exposed to ionizing radiation (Reynolds & Schecker, 1995). Tumor suppressor genes operate to slow unregulated cell proliferation (Lee & Muller, 2010). The suppressor protein p53 is associated with delays in cell cycle progression at G1, reducing the speed of cell proliferation (Khan & Wang, 2022). These genes can also be prevented from performing their function via radiation-induced alterations. When p53 is inactivated, this can cause a cell to pass through the G1 checkpoint, even when elements within the cell are damaged (Reynolds & Schecker, 1995). Other cell cycle checkpoints can also be activated by energy deposition via ionizing radiation, including G2/M and intra S stages. Transient arrests are linked with low dose exposures, though high doses can make the change permanent (Khan & Wang, 2022). 

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 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

The biological plausibility of the relationship between deposited energy leading to increased proliferation of cells is moderately supported by the literature. The deposition of energy, such as that from ionizing radiation, starting at doses of <0.5 Gy for in vivo and >2 Gy for in vitro has been shown to induce changes in cell proliferation (Uwineza et al., 2019; Hamada & Sato, 2016; Hamada, 2017a; Ainsbury et al., 2016). Rabbit, human, and rat models and many cell types have been used to support this connection. Increased cell proliferation is induced via energy deposition through a poorly understood mechanism of signalling changes and gene expression alterations. The evidence supporting the connection spans multiple life stages and sexes, though no observable differences can be delineated between the groups (Markiewicz et al., 2015; Fujimichi & Hamada, 2014; Worgul et al., 1986; Richards, 1966; Barnard et al., 2022; Riley et al., 1989; von Sallmann, 1952; Soderberg et al., 1986; Ramsell & Berry, 1966; Treton & Courtois, 1981). 

One of the main cell-related changes that can occur as a result of energy deposition is changes in gene expression. This is an event that then causes cell proliferation to increase. Energy deposition via stressors, such as ionizing radiation, increase cell proliferation through the inactivation of tumor suppressor genes and oncogene activation. Activated oncogenes can increase cell proliferation while the inactive suppressor genes are unable to regulate this change. Cyclin-D1, an oncogene protein, has been linked to shortened times between G1 and S stages of the cell cycle when found in excess in the cell (Reynolds & Schecker, 1995).  

Other events also occur within the organism that contribute to increased proliferation following energy deposition. Alterations in cell growth factor genes such as MAPK1, as a result of deposited energy, can also cause increased proliferation rates in LECs (Vigneux et al., 2022). The mitogen-activated protein kinases/extracellular signal-regulated kinase (MAPK/ERK) and phosphatidylinositol 30-kinase (PI3K/AKT) signalling pathways are anti-apoptotic, with the former being essential for G2 checkpoint arrest (Hein et al., 2014). PI3K/AKT signalling is altered by growth factors and hindered by tumor suppressors (Dillon et al., 2007). MAPK/ERK and PI3K/AKT signalling pathways are both activated by energy deposition, such as ionizing radiation, and this has been shown to increase cell proliferation in human lung fibroblast cells. (Liang et al., 2016). PI3K is turned on by the increased growth factor levels and suppressor gene downregulation (Lee & Muller, 2010). This then signals down the pathway until it reaches AKT. AKT turns on the MAPK/ERK pathway, which induces increased cell proliferation, though the exact mechanism by which this happens is still uncertain (Liang et al., 2016). 

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
  • Exposure to radiation has been associated with the arrest of the cell cycle (Khan & Wang, 2022; Hein et al., 2014; Wang et al., 2018; Turesson et al., 2003). The cell cycle function is associated with the cell’s ability to undergo mitosis and generate additional cells (Khan & Wang, 2022; Reynolds & Schecker, 1995). Radiation turns on cell cycle checkpoints, causing cycle arrest (Wang et al., 2018; Turesson et al. 2003). When the cycle is arrested, cells are unable to progress to the next stage, meaning that any cells not in the mitotic phase would then be unable to proliferate (Hein et al., 2014; Khan & Wang, 2022). Several studies show doses as low as 10 mGy (of alpha particle irradiation on human fibroblast cells) leading to less proliferation than control groups (Khan & Wang, 2022). Other studies found that proliferation was either increased or decreased based on the time since irradiation. In the earlier stages, 4 to 7 days post-irradiation, there was a decrease in cell proliferation (von Sallmann et al., 1955; Barnard et al., 2022). During this time, larger radiation doses led to a larger decrease. After this point, cell proliferation began to increase and larger radiation doses led to increased proliferation (rabbits, 125, 250, 500, 1000, 2000 rep) (von Sallmann et al., 1955). Pirie and Drance also found a similar effect, but they noted a continued decrease in proliferation after the increase seen by von Sallmann et al. (1959).  

  • Furthermore, LECs also see inconsistent results in radiation effects, with some radiation exposed cells forming colonies through excessive proliferation and others becoming inactivated or dead. This inactivation involves a long-term cell cycle arrest that is nonpermanent but does prevent proliferation from occurring (Fujimichi & Hamada, 2014). However, a subpopulation of LECs demonstrated increased sensitivity to radiation induced premature senescence and therefore, a cessation of proliferation for any cells not in mitosis (Hamada, 2017b). 

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
N/A
Modulating Factor (MF) MF Specification Effect(s) on the KER Reference(s)
       
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

N/A

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 plausible in all life stages, sexes, and organisms. The majority of the evidence is from in vivo adult mice and rats with no specificity on sex, as well as adult human in vitro models that do not specify sex. 

References

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

Ainsbury, E. A. et al. (2016), “Ionizing radiation induced cataracts: recent biological and mechanistic developments and perspectives for future research”, Mutation research. Reviews in mutation research, Vol. 770, Elsevier B.V., https://doi.org/10.1016/j.mrrev.2016.07.010

Andley, U. et al. (1994), “Modulation of lens epithelial cell proliferation by enhanced prostaglandin synthesis after UVB exposure”, Investigative Ophthalmology and Visual Science, Vol.35/2, Association for Research in Vision and Ophthalmology, Rockville, pp.374-381. 

Bahia, S. et al. (2018), “Oxidative and Nitrative Stress-Related Changes in Human Lens Epithelial Cells Following Exposure to X-Rays", International Journal of Radiation Biology, Vol.94/4, Informa, London, https://doi.org/10.1080/09553002.2018.1439194. 

Barnard, S. et al. (2022), “Lens epithelial cell proliferation in response to ionizing radiation”, Radiation Research, Vol. 197/1, Radiation Research Society, https://doi.org/10.1667/RADE-20-00294.1 

BEIR V. (1990), “Health effects of exposure to low levels of ionising radiation”, National Research Council (US) Committee on Biological Effects of Ionizing Radiation (BEIR V), National Academic Press, Washington, https://doi.org/10.17226/1224. 

Dillon, R., D. White and W. Muller. (2007), “The phosphatidyl inositol 3-kinase signaling network: implications for human breast cancer”, Oncogene, Vol.26, Nature, Portfolio, London, https://doi.org/10.1038/sj.onc.1210202. 

Fujimichi, Y. and N. Hamada. (2014), “Ionizing irradiation not only inactivates clonogenic potential in primary normal human diploid lens epithelial cells but also stimulates cell proliferation in a subset of this population”, PLoS ONE, Vol.9/5, PLOS, San Francisco, https://doi.org/ 10.1371/journal.pone.0098154. 

Hamada, N. (2017a), “Ionizing radiation sensitivity of the ocular lens and its dose rate dependence”, International Journal of Radiation Biology, Vol.93/10, Informa, London, https://doi.org/10.1080/09553002.2016.1266407. 

Hamada, N. and T. Sato. (2016), “Cataractogenesis following high-LET radiation exposure”, Mutation Research - Reviews in Mutation Research, Vol.770/Pt B, Elsevier, Amsterdam, https://doi.org/10.1016/j.mrrev.2016.08.005. 

Hein, A.L., M.M. Ouellette and Y. Yan. (2014), “Radiation-induced signaling pathways that promote cancer cell survival (Review)”, International Journal of Oncology, Vol.45, Spandidos Publications, Athens, https://doi.org/10.3892/ijo.2014.2614. 

Khan, M.G.M. and Y. Wang. (2022), “Advances in the Current Understanding of How Low-Dose Radiation Affects the Cell Cycle”, Cells, Vol.11/356, MDPI, Basel, https://doi.org/10.3390/cells11030356. 

Kozbenko, T. et al. (2022), “Deploying elements of scoping review methods for adverse outcome pathway development: a space travel case example”, International Journal of Radiation Biology, 1–12. https://doi.org/10.1080/09553002.2022.2110306 

Lee, E. Y. and W.J. Muller. (2010), “Oncogenes and tumor suppressor genes”, Cold Spring Harbor perspectives in biology, Vol.2/10, Cold Spring Harbor Laboratory Press, Long Island, https://doi.org/10.1101/cshperspect.a003236. 

Liang, X. et al. (2016), “Low-Dose Radiation Induces Cell Proliferation in Human Embryonic Lung Fibroblasts but not in Lung Cancer Cells: Importance of ERK1/2 and AKT Signaling Pathways”, Dose-Response, Vol. January-March, SAGE Publications, Thousand Oaks, https://doi.org/10.1177/1559325815622174. 

Markiewicz, E. et al. (2015), “Nonlinear ionizing radiation-induced changes in eye lens cell proliferation, cyclin D1 expression and lens shape”, Open Biology, Vol.5/4, Royal Society, London, https://doi.org/10.1098/rsob.150011. 

Pirie, A. and S. M. Drance (1959), “Modification of X-ray damage to the lens by partial shielding”, International Journal of Radiation Biology and Related Studies in Physics, Chemistry and Medicine, Vol. 1/3, Taylor & Francis, England, https://doi.org/10.1080/09553005914550391 

Ramsell, T. and R. Berry. (1966), “Recovery from x-ray damage to the lens. The effects of fractionated x-ray doses observed in rabbit lens epithelium irradiated in vivo”, The British journal of radiology, Vol.39/467, British Institute of Radiology, London, https://doi.org/10.1259/0007-1285-39-467-853. 

Reynolds, RJ. and J.A. Schecker. (1995), “Radiation, Cell Cycle, and Cancer”, Los Alamos Science, Vol.23, Los Alamos National Laboratory, Los Alamos, pp.51-89. 

Richards, R. (1966), “Changes in lens epithelium after x-ray or neutron irradiation (mouse and rabbit)”, Transactions of the American Ophthalmological Society, Vol.64, American Ophthalmological Society, Rochester, pp.700-34.  

Riley, E. et al. (1989), “Comparison of Recovery from Potential Mitotic Abnormality in Mitotically Quiescent Lens Cells after X, Neutron, and 56Fe Irradiations”, Radiation Research, Vol.119/2, Radiation Research Society, Indianapolis, https://doi.org/10.2307/3577616. 

Riley, E., R. Miller and A. Lindgren. (1988), “Recovery of Murine Lens Epithelial Cells from Single and Fractionated Doses of X Rays and Neutrons”, Radiation Research, Vol.114, Radiation Research Society, Indianapolis, https://doi.org/10.2307/3577127.  

Söderberg, P., B. Philipson and B. Lindström. (1986), “Unscheduled DNA synthesis in lens epithelium after in vivo exposure to UV radiation in the 300 nm wavelength region”, Acta Ophthalmologica, Vol.64/2, Wiley, Hoboken, https://doi.org/10.1111/j.1755-3768.1986.tb06894.x. 

Turesson, I. et al. (2003), “Biological Response to Radiation Therapy”, Acta Oncologica, Vol.42/2, Taylor & Francis, Oxfordshire, https://doi.org/10.1080/02841860310004959. 

Treton, J. and Y. Courtois. (1981), “Evolution of the distribution, proliferation and ultraviolet repair capacity of rat lens epithelial cells as a function of maturation and aging”, Mechanisms of Ageing and Development, Vol.15, Elsevier Ireland, Dublin, https://doi.org/10.1016/0047-6374(81)90134-2. 

Uwineza, A. et al. (2019), “Cataractogenic load – A concept to study the contribution of ionizing radiation to accelerated aging in the eye lens”, Mutation Research - Reviews in Mutation Research, Vol.779, Elsevier, Amsterdam, https://doi.org/10.1016/j.mrrev.2019.02.004. 

Vigneux, G. et al. (2022), “Radiation-Induced Alterations in Proliferation, Migration, and Adhesion in Lens Epithelial Cells and Implications for Cataract Development”, Bioengineering, Vol.9/29, MDPI, Basel, https://doi.org/10.3390/bioengineering9010029. 

von Sallmann, L. (1952), “Experimental studies on early lens changes after roentgen irradiation III. Effect of X-radiation on mitotic activity and nuclear fragmentation of lens epithelium in normal and cysteine-treated rabbits”, Transactions of the American Ophthalmological Society, Vol.8, American Ophthalmological Society, Rochester, https://doi.org/10.1001/archopht.1952.01700030313005.  

von Sallmann, L. et al. (1955), “Effects of high-energy particles, X-rays, and aging on lens epithelium”, A.M.A. Archives of Ophthalmology, Vol. 54/4, American Medical Association, United States, https://doi.org/10.1001/archopht.1955.00930020495003 

Wang, J. S., H.J. Wang and H.L. Qian. (2018), “Biological effects of radiation on cancer cells”, Military Medical Research, Vol.5/1, Springer Nature, Berlin, https://doi.org/10.1186/s40779-018-0167-4. 

Worgul, B., G. Merriam and C. Medvedovsky. (1986), “Accelerated heavy particles and the lens II. Cytopathological changes”, Investigative Ophthalmology and Visual Science, Vol.27/1, Association for Research in Vision and Ophthalmology, Rockville, pp.108-114.