This Event is licensed under the Creative Commons BY-SA license. This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. If you remix, adapt, or build upon the material, you must license the modified material under identical terms.

Event: 2098

Key Event Title

A descriptive phrase which defines a discrete biological change that can be measured. More help

Increase, Abnormal Neural Remodeling

Short name
The KE short name should be a reasonable abbreviation of the KE title and is used in labelling this object throughout the AOP-Wiki. More help
Abnormal Neural Remodeling
Explore in a Third Party Tool

Biological Context

Structured terms, selected from a drop-down menu, are used to identify the level of biological organization for each KE. More help
Level of Biological Organization
Tissue

Organ term

The location/biological environment in which the event takes place.The biological context describes the location/biological environment in which the event takes place.  For molecular/cellular events this would include the cellular context (if known), organ context, and species/life stage/sex for which the event is relevant. For tissue/organ events cellular context is not applicable.  For individual/population events, the organ context is not applicable.  Further information on Event Components and Biological Context may be viewed on the attached pdf. More help

Key Event Components

The KE, as defined by a set structured ontology terms consisting of a biological process, object, and action with each term originating from one of 14 biological ontologies (Ives, et al., 2017; https://aopwiki.org/info_pages/2/info_linked_pages/7#List). Biological process describes dynamics of the underlying biological system (e.g., receptor signalling).Biological process describes dynamics of the underlying biological system (e.g., receptor signaling).  The biological object is the subject of the perturbation (e.g., a specific biological receptor that is activated or inhibited). Action represents the direction of perturbation of this system (generally increased or decreased; e.g., ‘decreased’ in the case of a receptor that is inhibited to indicate a decrease in the signaling by that receptor).  Note that when editing Event Components, clicking an existing Event Component from the Suggestions menu will autopopulate these fields, along with their source ID and description.  To clear any fields before submitting the event component, use the 'Clear process,' 'Clear object,' or 'Clear action' buttons.  If a desired term does not exist, a new term request may be made via Term Requests.  Event components may not be edited; to edit an event component, remove the existing event component and create a new one using the terms that you wish to add.  Further information on Event Components and Biological Context may be viewed on the attached pdf. More help

Key Event Overview

AOPs Including This Key Event

All of the AOPs that are linked to this KE will automatically be listed in this subsection. This table can be particularly useful for derivation of AOP networks including the KE.Clicking on the name of the AOP will bring you to the individual page for that AOP. More help
AOP Name Role of event in AOP Point of Contact Author Status OECD Status
Deposition of Energy Leading to Learning and Memory Impairment KeyEvent 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 KE.In many cases, individual species identified in these structured fields will be those for which the strongest evidence used in constructing the AOP was available in relation to this KE. More help
Term Scientific Term Evidence Link
dog Canis lupus familiaris Low NCBI
rat Rattus norvegicus Moderate NCBI
mouse Mus musculus Moderate NCBI

Life Stages

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

Sex Applicability

An indication of the the relevant sex for this KE. More help
Term Evidence
Male Moderate
Female Low
Unspecific Low

Key Event Description

A description of the biological state being observed or measured, the biological compartment in which it is measured, and its general role in the biology should be provided. More help

(Adapted from KE: 618)

Abnormal neural remodeling describes abnormal changes in structure and function of the central nervous system (CNS), which occur in the presence of a neuronal input (Chakraborti et al., 2012). However, these connections can also be altered by stressors and stimuli. The neuron is comprised of the cell body, dendrites, axon, and axon terminals (Lodish et al., 2000). Dendritic spines exist in many shapes and sizes, categorized as thin, mushroom, or stubby types (Harris & Stevens, 1989). The presence of immature dendritic spine morphologies and changes in dendritic spine density and structure, including decreases in dendritic branch points, length, and area, are correlated with changes in excitatory synaptic transmission strength (Jandial et al., 2018; Auffret et al., 2009). Dendritic protein synthesis is required for many types of long-term synaptic plasticity (Sutton & Schuman 2006). Changes to the levels of protein synthesis greatly affects neuronal communication. The CNS architecture is also affected by decreases in neurogenesis and increases in neurodegeneration, as dendritic complexity decreases. These events provoke changes in synaptic plasticity and action potential, ultimately leading to the disruption of neuronal signalling (Cekanaviciute et al., 2018). 

How It Is Measured or Detected

A description of the type(s) of measurements that can be employed to evaluate the KE and the relative level of scientific confidence in those measurements.These can range from citation of specific validated test guidelines, citation of specific methods published in the peer reviewed literature, or outlines of a general protocol or approach (e.g., a protein may be measured by ELISA). Do not provide detailed protocols. More help

Method of Measurement 

References 

Description 

OECD-Approved Assay 

MRI Scan 

Jiang et al., 2014 

Magnetic resonance imaging (MRI) is an imaging technique used to visualize organs and tissues in the body. MRI can be used to view demyelination.  

No 

Fluoro-Jade stain 

Schmued and Hopkins, 2000 

Detects and labels degenerating neurons. 

No 

3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) Assay – colorimetric assay used to assess cell metabolic activity based on the reduction of (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide. 

Riss et al., 2004 

Cell viability and proliferation assays can be used to measure increased levels of neurodegeneration or decreased levels of neurogenesis. 

Yes 

Bromodeoxyuridine (BrdU) labeling  

Vallieres et al., 2002 

Staining method used to identify proliferating cells and measures neurogenesis. 

No 

SYNPLA 

Dore et al., 2020 

Synaptic proximity ligation assay (SYNPLA) is a technique that detects learning-induced synaptic plasticity. 

No 

ELISA 

Falsig et al., 2003; Lund et al., 2006; Monnet-Tschudi et al., 2011 

The enzyme-linked immunosorbent assay (ELISA) is a technique that detects and quantifies levels of macromolecules such as peptides, proteins, antibodies, and hormones. It can be used to detect specific molecules in neurons that represent loss in integrity such as PSD-95, synapsin 1 or drebrin. 

No 

Immunoassay/microscopy 

Falsig et al., 2003; Lund et al., 2006; Monnet-Tschudi et al., 2011 

Various methods that use the specificity of antigen-antibody binding for detection and quantification of target molecules such as PSD-95, synpasin 1, Ki-67 and drebrin. 

No 

Western Blot 

Yang and Mahmood, 2012 

Protein identification from a complex mixture after size separation, transfer to solid support and marking target protein. Specific markers include PSD-95, synpasin 1, Ki-67 and drebrin. 

No 

Golgi-Cox Method 

Zaqout and Kaindl, 2016 

Visualizes neuronal morphology in vivo. 

No 

Whole-cell electrophysiology 

Hill and Stephens, 2021 

Measures intracellular electrical properties by visualizing ionic currents. 

No 

Terminal deoxynucleotidyl transferase-mediated dUTP nick end-labeling (TUNEL) assay 

Kressel and Groscurth, 1994 

Apoptosis is detected with the TUNEL method to assay the endonuclease cleavage products by enzymatically end-labeling the DNA strand breaks. 

Yes 

Domain of Applicability

A description of the scientific basis for the indicated domains of applicability and the WoE calls (if provided).  More help

Taxonomic applicability: The ability to process complex spatiotemporal information through neuronal networking is a fundamental process underlying the behavior of all higher organisms. The most studied are the neuronal networks of vertebrates such as rodents (Cekanaviciute et al., 2018) and primates (Wang and Arnsten, 2015). https://pubmed.ncbi.nlm.nih.gov/26876924/Invertebrates hold neural circuitries in various degrees of complexity and there are studies describing how neurons are organized into functional networks to generate behaviour (Wong and Wong, 2004; Marder, 1994).  

Life stage applicability: This key event is applicable to all life stages, most evidence is derived from studies in adults (Cekanaviciute et al., 2018; Hladik & Tapio, 2016). 

Sex applicability: This key event is not sex specific (Hladik & Tapio, 2016). 

Evidence for perturbation by a prototypic stressor: Current literature provides ample evidence of neural remodeling being induced by stressors including ionizing radiation (Allen et al., 2015; Cekanaviciute et al., 2018; J. R. Fike et al., 1984; John R. Fike et al., 1988; Hladik & Tapio, 2016; Kiffer et al., 2020; Mizumatsu et al., 2003; Okamoto et al., 2009; Vipan K. Parihar et al., 2016; Vipan K. Parihar; Rola et al., 2005; Tiller-Borcich et al., 1987). 

References

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

Allen, A. R. et al. (2015), "56Fe Irradiation Alters Spine Density and Dendritic Complexity in the Mouse Hippocampus", Radiation Research, Vol. 184/6, BioOne, Washington, https://doi.org/10.1667/RR14103.1. 

Alvarez, M. L. and S. C. Doné. (2014), "SYBR® Green and TaqMan® Quantitative PCR Arrays: Expression Profile of Genes Relevant to a Pathway or a Disease State" (pp. 321–359), Springer Nature, Berlin, https://doi.org/10.1007/978-1-4939-1062-5_27

Auffret, A. et al. (2009), "Age-Dependent Impairment of Spine Morphology and Synaptic Plasticity in Hippocampal CA1 Neurons of a Presenilin 1 Transgenic Mouse Model of Alzheimer’s Disease", Journal of Neuroscience, Vol. 29/32, Society for Neuroscience, Washington, https://doi.org/10.1523/JNEUROSCI.1856-09.2009

Cekanaviciute, E., S. Rosi and S. V. Costes. (2018), "Central nervous system responses to simulated galactic cosmic rays", International Journal of Molecular Sciences, Vol. 19/11, Multi-Disciplinary Digital Publishing Institute, Basel, https://doi.org/10.3390/ijms19113669

Chakraborti, A. et al. (2012), "Cranial Irradiation Alters Dendritic Spine Density and Morphology in the Hippocampus", (P.J. Tofilon, Ed.) PLoS ONE, Vol. 7/7, Public Library of Science, San Francisco, https://doi.org/10.1371/journal.pone.0040844

Dore, K. et al. (2020), "SYNPLA, a method to identify synapses displaying plasticity after learning", Proceedings of the National Academy of Sciences, Vol. 117/6, Proceedings of the National Academy of Sciences, https://doi.org/10.1073/pnas.1919911117

Falsig, J., M. Latta and M. Leist. (2003), "Defined inflammatory states in astrocyte cultures: correlation with susceptibility towards CD95-driven apoptosis", Journal of Neurochemistry, Vol. 88/1, John Wiley & Sons, Inc., Hoboken, https://doi.org/10.1111/j.1471-4159.2004.02144.x

Fike, J. R. et al. (1984), "Computed Tomography Analysis of the Canine Brain: Effects of Hemibrain X Irradiation", Radiation Research, Vol. 99/2, Allen Press, Lawrence, https://doi.org/10.2307/3576373

Fike, J. R. et al. (1988), "Radiation dose response of normal brain", International Journal of Radiation Oncology, Biology, Physics, Vol. 14/1, Elsevier, Amsterdam, https://doi.org/10.1016/0360-3016(88)90052-1

Harris, K. and J. Stevens. (1989), "Dendritic spines of CA 1 pyramidal cells in the rat hippocampus: serial electron microscopy with reference to their biophysical characteristics", The Journal of Neuroscience, Vol. 9/8, Society for Neuroscience, Washington, https://doi.org/10.1523/JNEUROSCI.09-08-02982.1989

Hill, C. L. and G. J. Stephens. (2021), "An Introduction to Patch Clamp Recording" (pp. 1–19), https://doi.org/10.1007/978-1-0716-0818-0_1.  

Hladik, D. and S. Tapio. (2016), "Effects of ionizing radiation on the mammalian brain", Mutation Research/Reviews in Mutation Research, Vol. 770, Elsevier B. b., Amsterdam, https://doi.org/10.1016/j.mrrev.2016.08.003

Kiffer, F. et al. (2020), "Late Effects of 1H + 16O on Short-Term and Object Memory, Hippocampal Dendritic Morphology and Mutagenesis", Frontiers in Behavioral Neuroscience, Vol. 14, Frontiers Media S.A., https://doi.org/10.3389/fnbeh.2020.00096. 

Kressel, M. and P. Groscurth (1994), "Distinction of apoptotic and necrotic cell death by in situ labelling of fragmented DNA", Cell and tissue research, Vol. 278/3, Nature, https://doi.org/10.1007/BF00331373.  

Kukurba, K. R. and S. B. Montgomery. (2015), "RNA Sequencing and Analysis", Cold Spring Harbor Protocols, Vol. 2015/11, https://doi.org/10.1101/pdb.top084970

Jandial, R. et al. (2018), "Space–brain: The negative effects of space exposure on the central nervous system", Surgical Neurology International, Vol. 9/1, https://doi.org/10.4103/sni.sni_250_17. 

Jiang, X. et al. (2014), "A GSK-3β Inhibitor Protects Against Radiation Necrosis in Mouse Brain", International Journal of Radiation Oncology*Biology*Physics, Vol. 89/4, Elsevier, Amsterdam, https://doi.org/10.1016/j.ijrobp.2014.04.018

Lodish, H., et al. (2000). Overview of Neuron Structure and Function. https://www.ncbi.nlm.nih.gov/books/NBK21535/ 

Lund, S. et al. (2006), "The dynamics of the LPS triggered inflammatory response of murine microglia under different culture and in vivo conditions", Journal of Neuroimmunology, Vol. 180/1–2, Elsevier, Amsterdam, https://doi.org/10.1016/j.jneuroim.2006.07.007

Marder, E. (1994), "Invertebrate Neurobiology: Polymorphic neural networks", Current Biology, Vol. 4/8, Elsevier, Amsterdam, https://doi.org/10.1016/S0960-9822(00)00169-X. 

Mizumatsu, S. et al. (2003), "Extreme sensitivity of adult neurogenesis to low doses of X-irradiation", Cancer Research, Vol. 63/14. 

Monnet‐Tschudi, F. et al. (2011), "Methods to Assess Neuroinflammation", Current Protocols in Toxicology, Vol. 50/1, John Wiley & Sons, Inc., Hoboken, https://doi.org/10.1002/0471140856.tx1219s50

Okamoto, M. et al. (2009), "Effect of radiation on the development of immature hippocampal neurons in vitro", Radiation Research, Vol. 172/6, BioOne, Washington, https://doi.org/10.1667/RR1741.1. 

Parihar, V. K. et al. (2016), "Cosmic radiation exposure and persistent cognitive dysfunction", Scientific Reports, Vol. 6/June, Nature Publishing Group, Berlin, https://doi.org/10.1038/srep34774

Parihar, V. K. et al. (2015), "What happens to your brain on the way to Mars", Science Advances, Vol. 1/4, American Association for the Advancement of Science, Washington, https://doi.org/10.1126/SCIADV.1400256

Riss, T. L. et al. (2004), Cell Viability Assays, Assay Guidance Manual, http://www.ncbi.nlm.nih.gov/pubmed/23805433

Rola, R. et al. (2005), "High-LET radiation induces inflammation and persistent changes in markers of hippocampal neurogenesis", Radiation Research (Volume 164, pp. 556–560), BioOne, Washington, https://doi.org/10.1667/RR3412.1. 

Schmued, L. C. and K. J. Hopkins. (2000), "Fluoro-Jade B: a high affinity fluorescent marker for the localization of neuronal degeneration", Brain Research, Vol. 874/2, Elsevier, Amsterdam, https://doi.org/10.1016/S0006-8993(00)02513-0

Sutton, M. A. and E. M. Schuman. (2006), "Dendritic Protein Synthesis, Synaptic Plasticity, and Memory", Cell, Vol. 127/1, Elsevier, Amsterdam, https://doi.org/10.1016/j.cell.2006.09.014

Tiller-Borcich, J. K. et al. (1987), "Pathology of Delayed Radiation Brain Damage: An Experimental Canine Model", Radiation Research, Vol. 110/2, Allen Press, Lawrence, https://doi.org/10.2307/3576896. 

Valliéres, L. et al. (2002), "Reduced hippocampal neurogenesis in adult transgenic mice with chronic astrocytic production of interleukin-6", Journal of Neuroscience, Vol. 22/2, Society for Neuroscience, Washington, https://doi.org/10.1523/jneurosci.22-02-00486.2002

Wang, M. and A. F. T. Arnsten. (2015), "Contribution of NMDA receptors to dorsolateral prefrontal cortical networks in primates", Neuroscience Bulletin, Vol. 31/2, Springer Nature, Berlin, https://doi.org/10.1007/s12264-014-1504-6. 

Wong Y.H. and Wong J.T.Y. (2004), Invertebrate Neural Networks, (Y.H. Wong & J.T.Y. Wong, Eds.), S. Karger AG, https://doi.org/10.1159/isbn.978-3-318-01075-6. 

Yang, P.-C. and T. Mahmood. (2012), "Western blot: Technique, theory, and trouble shooting", North American Journal of Medical Sciences, Vol. 4/9, Wolters Kluwer, Alphen aan den Rijn, https://doi.org/10.4103/1947-2714.100998

Zaqout, S. and A. M. Kaindl. (2016), "Golgi-Cox Staining Step by Step", Frontiers in Neuroanatomy, Vol. 10, Frontiers Media, https://doi.org/10.3389/fnana.2016.00038