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    <casrn>7440-61-1</casrn>
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    <indigo-inchi-key>JFALSRSLKYAFGM-UHFFFAOYSA-N</indigo-inchi-key>
    <preferred-name>Uranium</preferred-name>
    <synonyms>
      <synonym>Uranium, isotope of mass 238</synonym>
      <synonym>238U Element</synonym>
      <synonym>UN 2979 (DOT)</synonym>
      <synonym>Uranium I</synonym>
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    <dsstox-id>DTXSID1042522</dsstox-id>
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  <chemical id="f7efa7d6-beba-464f-adbc-02e553e86010">
    <casrn>7440-43-9</casrn>
    <jchem-inchi-key>BDOSMKKIYDKNTQ-UHFFFAOYSA-N</jchem-inchi-key>
    <indigo-inchi-key>BDOSMKKIYDKNTQ-UHFFFAOYSA-N</indigo-inchi-key>
    <preferred-name>Cadmium</preferred-name>
    <synonyms>
      <synonym>Cadimium</synonym>
      <synonym>CADMIUM BLUE</synonym>
      <synonym>CADMIUM, IN PLATTEN, STANGEN, BROCKEN,KOERNER</synonym>
    </synonyms>
    <dsstox-id>DTXSID1023940</dsstox-id>
  </chemical>
  <biological-object id="6d717e72-7cf0-4b0b-a66f-cfb55eeb89e8">
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    <source>FMA</source>
    <name>Nicotinic acetylcholine receptor</name>
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  <biological-action id="231f4246-bdbe-47b0-95d4-42416da3371b">
    <source-id>7</source-id>
    <source>WIKI</source>
    <name>functional change</name>
  </biological-action>
  <biological-action id="1238bebd-5663-43c3-8674-a8b16a93176b">
    <source-id>2</source-id>
    <source>WIKI</source>
    <name>decreased</name>
  </biological-action>
  <biological-action id="740a505f-97dc-411f-b04a-22e67559f562">
    <source-id>4</source-id>
    <source>WIKI</source>
    <name>abnormal</name>
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    <name>2-Imidazolidinimine, 1-[(6-chloro-3-pyridinyl)methyl]-N-nitro-, (2E)-</name>
    <description></description>
    <exposure-characterization></exposure-characterization>
    <creation-timestamp>2016-11-29T18:42:27</creation-timestamp>
    <last-modification-timestamp>2016-11-29T18:42:27</last-modification-timestamp>
  </stressor>
  <stressor id="0f9c4f20-2178-432e-b39a-3391369616fd">
    <name>Uranium</name>
    <description></description>
    <chemicals>
      <chemical-initiator chemical-id="0b73ce76-e7ab-449f-9af3-9b4229fd06b7" user-term="Uranium"/>
    </chemicals>
    <exposure-characterization></exposure-characterization>
    <creation-timestamp>2021-08-05T14:28:50</creation-timestamp>
    <last-modification-timestamp>2021-08-05T14:28:50</last-modification-timestamp>
  </stressor>
  <stressor id="9dd7cc7e-5d13-40e2-8cba-1ae3164e9cb7">
    <name>Nanoparticles and Micrometer Particles</name>
    <description></description>
    <exposure-characterization></exposure-characterization>
    <creation-timestamp>2022-02-04T13:43:43</creation-timestamp>
    <last-modification-timestamp>2022-02-04T13:43:43</last-modification-timestamp>
  </stressor>
  <stressor id="f87b0abd-37f6-4fe3-a7b5-47b1b9b22e45">
    <name>Cadmium</name>
    <description></description>
    <chemicals>
      <chemical-initiator chemical-id="f7efa7d6-beba-464f-adbc-02e553e86010" user-term="Cadmium"/>
    </chemicals>
    <exposure-characterization></exposure-characterization>
    <creation-timestamp>2017-10-25T08:33:12</creation-timestamp>
    <last-modification-timestamp>2017-10-25T08:33:12</last-modification-timestamp>
  </stressor>
  <taxonomy id="012805b0-a4f2-4097-b4d6-53df40dd60e6">
    <source-id>WCS_9606</source-id>
    <source>common toxicological species</source>
    <name>human</name>
  </taxonomy>
  <taxonomy id="d8d5c0fb-d5d8-4701-9119-f44d1542d797">
    <source-id>10090</source-id>
    <source>NCBI</source>
    <name>mouse</name>
  </taxonomy>
  <taxonomy id="9b9ef73d-a88c-433b-80be-01115fd3404e">
    <source-id>10116</source-id>
    <source>NCBI</source>
    <name>rat</name>
  </taxonomy>
  <taxonomy id="57f9380e-018c-4167-bbc0-0e3eae830e47">
    <source-id>WCS_9606</source-id>
    <source>common toxicological species</source>
    <name>humans</name>
  </taxonomy>
  <taxonomy id="b9922ef9-2b09-44e6-9fe7-340852a58347">
    <source-id>10095</source-id>
    <source>NCBI</source>
    <name>mice</name>
  </taxonomy>
  <taxonomy id="f5d111b6-f2b8-4f66-8554-c5ec1579bfd8">
    <source-id>9685</source-id>
    <source>NCBI</source>
    <name>cat</name>
  </taxonomy>
  <taxonomy id="a866babd-6601-4faf-9e25-0238db0a3a5c">
    <source-id>WCS_7227</source-id>
    <source>common ecological species</source>
    <name>fruit fly</name>
  </taxonomy>
  <taxonomy id="dea8348c-067d-4af0-8d39-5c6080c4f393">
    <source-id>WCS_7955</source-id>
    <source>common ecological species</source>
    <name>zebrafish</name>
  </taxonomy>
  <taxonomy id="675482a1-4a12-43d4-be4c-e62e94bc39f3">
    <source-id>WCS_160004</source-id>
    <source>common ecological species</source>
    <name>gastropods</name>
  </taxonomy>
  <taxonomy id="8ec698d3-8261-42ab-a88d-a9c996634e80">
    <source-id>WikiUser_2</source-id>
    <source>ApacheUser</source>
    <name>Honey bee</name>
  </taxonomy>
  <key-event id="0c562ee8-ab8e-4ad9-a242-bee44c0236c1">
    <title>Activation, Nicotinic acetylcholine receptor</title>
    <short-name>Activation, Nicotinic acetylcholine receptor</short-name>
    <biological-organization-level>Molecular</biological-organization-level>
    <description>&lt;p&gt;Text from LaLone et al. (2017) Weight of evidence evaluation of a network of adverse outcome pathways linking activaiton of the nicotinic acetylcholine receptor in honey bees to colony death. &lt;em&gt;Science of the Total Environment&lt;/em&gt; 584-585, 751-775:&lt;/p&gt;

&lt;p&gt;&amp;quot;Nicotinic acetylcholine receptors belong to the&lt;br /&gt;
cys-loop superfamily of ligand-gated ion channels, responsible for&lt;br /&gt;
rapid neurotransmission (Karlin, 2002). In insects nAChR have signaling&lt;br /&gt;
roles in nervous systems and neuromuscular junctions and other cells&lt;br /&gt;
(Jones and Sattelle, 2010; Lindstrom, 2003). Under normal conditions&lt;br /&gt;
the endogenous neurotransmitter, acetylcholine (ACh), attaches to the&lt;br /&gt;
ligand binding domains on the extracellular region of the pentameric&lt;br /&gt;
nAChR. This initiates a conformation change that promotes the influx&lt;br /&gt;
and efflux of calcium (Ca2+) and extracellular sodium and intracellular&lt;br /&gt;
potassiumions, respectively, to create the action potential necessary for&lt;br /&gt;
synaptic signaling (Jones and Sattelle, 2010). Activation of the nAChR,&lt;br /&gt;
by natural or synthetic agonists, and subsequent involvement in neurotransmission&lt;br /&gt;
is well established. Although the nAChR is conserved&lt;br /&gt;
across vertebrates and invertebrates, the diverse composition and assembly&lt;br /&gt;
of &amp;alpha;-(containing two adjacent cysteine residues important in&lt;br /&gt;
ACh binding) and non &amp;alpha;-(lacking the cysteine residues) subunits confer&lt;br /&gt;
diverse functional architecture and, therefore, toxicological responses&lt;br /&gt;
(Jones and Sattelle, 2010).&amp;quot;&lt;/p&gt;
</description>
    <measurement-methodology>&lt;p&gt;Text fromTable 2 of LaLone et al. (2017) Weight of evidence evaluation of a network of adverse outcome pathways linking activaiton of the nicotinic acetylcholine receptor in honey bees to colony death. &lt;em&gt;Science of the Total Environment&lt;/em&gt; 584-585, 751-775:&lt;/p&gt;

&lt;p&gt;&amp;quot;&amp;bull; Radiolabeled nAChR agonists, (e.g., [3H] imidacloprid) or nAChR subunit specific antibodies to detect location and subunit&lt;br /&gt;
composition of nAChR&lt;br /&gt;
&amp;bull; Ligand competition studies evaluating [3H] agonist displacement to determine ligand affinities to the nAChR&lt;br /&gt;
&amp;bull; Whole-cell voltage clamp electrophysiological measurements with agonists to measure nAChR activation&amp;quot;&lt;/p&gt;
</measurement-methodology>
    <evidence-supporting-taxonomic-applicability></evidence-supporting-taxonomic-applicability>
    <cell-term>
      <source-id>CL:0000540</source-id>
      <source>CL</source>
      <name>neuron</name>
    </cell-term>
    <applicability>
    </applicability>
    <biological-events>
      <biological-event object-id="6d717e72-7cf0-4b0b-a66f-cfb55eeb89e8" process-id="dcd921f8-fe69-498e-9965-7a3fd02a00f7" action-id="062a9243-bd6f-4803-b043-8038dc9c5e07"/>
    </biological-events>
    <references>&lt;p&gt;LaLone, C.A., Villeneuve, D.L., Wu-Smart, J., Milsk, R.Y., Sappington, K., Garber, K.V., Housenger, J. and Ankley, G.T., 2017. Weight of evidence evaluation of a network of adverse outcome pathways linking activation of the nicotinic acetylcholine receptor in honey bees to colony death.&lt;em&gt; &lt;/em&gt;STOTEN. 584-585, 751-775.&lt;/p&gt;

&lt;p&gt;Karlin, A., 2002. Emerging structure of the nicotinic acetylcholine receptors. Nat. Rev.&lt;br /&gt;
Neurosci. 3 (2), 102&amp;ndash;114.&lt;/p&gt;

&lt;p&gt;Jones, A.K., Sattelle, D.B., 2010. Diversity of insect nicotinic acetylcholine receptor subunits.&lt;br /&gt;
Adv. Exp. Med. Biol. 683, 25&amp;ndash;43.&lt;/p&gt;

&lt;p&gt;Lindstrom, J.M., 2003. Nicotinic acetylcholine receptors of muscles and nerves. Ann. N. Y.&lt;br /&gt;
Acad. Sci. 998 (1), 41&amp;ndash;52.&lt;/p&gt;

&lt;p&gt;Tomizawa,M., Casida, J.E., 2003. Selective toxicity of neonictinoids attributable to specificity&lt;br /&gt;
of insect and mammalian nicotinic receptors. Annu. Rev. Entomol. 48, 339&amp;ndash;364.&lt;/p&gt;

&lt;p&gt;Dani, J.A., Bertrand, D.D., 2007. Nicotinic acetylcholine receptors and nicotinic cholinergic&lt;br /&gt;
mechanisms of the central nervous system.Annu. Rev. Pharmacol. Toxicol. 47, 699&amp;ndash;729.&lt;/p&gt;

&lt;p&gt;Matsuda, K., Kanaoka, S., Akamatsu,M., Sattelle, D.B., 2009. Diverse actions and target-site&lt;br /&gt;
selectivity of neonicotinoids: structural insights. Mol. Pharmacol. 76 (1), 1&amp;ndash;10.&lt;/p&gt;

&lt;p&gt;LaLone, C.A., Villeneuve, D.L., Lyons, D., Helgen, H.W., Robinson, S.L., Swintek, J.A., Saari,&lt;br /&gt;
T.W., Ankley, G.T., 2016. Sequence alignment to predict across species susceptibility&lt;br /&gt;
(SeqAPASS): a web-based tool for addressing the challenges of cross-species extrapolation&lt;br /&gt;
of chemical toxicity. Toxicol. Sci. 153 (2), 228&amp;ndash;245.&lt;/p&gt;
</references>
    <source>AOPWiki</source>
    <creation-timestamp>2016-11-29T18:41:25</creation-timestamp>
    <last-modification-timestamp>2018-06-07T09:33:27</last-modification-timestamp>
  </key-event>
  <key-event id="a6e3347b-ff31-469c-bc57-5960074b1381">
    <title>N/A, Mitochondrial dysfunction 1</title>
    <short-name>N/A, Mitochondrial dysfunction 1</short-name>
    <biological-organization-level>Cellular</biological-organization-level>
    <description>&lt;p&gt;Mitochondrial dysfunction is a consequence of inhibition of the respiratory chain leading to oxidative stress.&lt;/p&gt;

&lt;p&gt;Mitochondria can be found in all cells and are considered the most important cellular consumers of oxygen. Furthermore, mitochondria possess numerous redox enzymes capable of transferring single electrons to oxygen, generating the superoxide (O2-). Some mitochondrial enzymes that are involved in reactive oxygen species (ROS) generation include the electron-transport chain (ETC) complexes I, II and III; pyruvate dehydrogenase (PDH) and glycerol-3-phosphate dehydrogenase (GPDH). The transfer of electrons to oxygen, generating superoxide, happens mainly when these redox carriers are charged enough with electrons and the potential energy for transfer is elevated, like in the case of high mitochondrial membrane potential. In contrast, ROS generation is decreased if there are not enough electrons and the potential energy for the transfer is not sufficient (reviewed in Lin and Beal, 2006).&lt;/p&gt;

&lt;p&gt;Cells are also able to detoxify the generated ROS due to an extensive antioxidant defence system that includes superoxide dismutases, glutathione peroxidases, catalase, thioredoxins, and peroxiredoxins in various cell organelles (reviewed in Lin and Beal, 2006). It is worth mentioning that, as in the case of ROS generation, antioxidant defences are also closely related to the redox and energetic status of mitochondria. If mitochondria are structurally and functionally healthy, an antioxidant defence mechanism balances ROS generation, and there is not much available ROS production. However, in case of mitochondrial damage, the antioxidant defence capacity drops and ROS generation takes over. Once this happens, a vicious cycle starts and ROS can further damage mitochondria, leading to more free-radical generation and further loss of antioxidant capacity. During mitochondrial dysfunction the availability of ATP also decreases, which is considered necessary for repair mechanisms after ROS generation.&lt;/p&gt;

&lt;p&gt;A number of proteins bound to the mitochondria or endoplasmic reticulum (ER), especially in the mitochondria-associated ER membrane (MAM), are playing an important role of communicators between these two organelles (reviewed Mei et al., 2013). ER stress induces mitochondrial dysfunction through regulation of Ca2+ signaling and ROS production (reviewed Mei et al., 2013). Prolonged ER stress leads to release of Ca2+ at the MAM and increased Ca2+ uptake into the mitochondrial matrix, which induces Ca2+-dependent mitochondrial outer membrane permeabilization and apoptosis. At the same, ROS are produced by proteins in the ER oxidoreductin 1 (ERO1) family. ER stress activates ERO1 and leads to excessive production of ROS, which, in turn, inactivates SERCA and activates inositol-1,4,5- trisphosphate receptors (IP3R) via oxidation, resulting in elevated levels of cytosolic Ca2+, increased mitochondrial uptake of Ca2+, and ultimately mitochondrial dysfunction. Just as ER stress can lead to mitochondrial dysfunction, mitochondrial dysfunction also induces ER Stress (reviewed Mei et al., 2013). For example, nitric oxide disrupts the mitochondrial respiratory chain and causes changes in mitochondrial Ca2+ flux which induce ER stress. Increased Ca2+ flux triggers loss of mitochondrial membrane potential (MMP), opening of mitochondrial permeability transition pore (mPTP), release of cytochrome c and apoptosis inducing factor (AIF), decreasing ATP synthesis and rendering the cells more vulnerable to both apoptosis and necrosis (Wang and Qin, 2010).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Summing up:&lt;/strong&gt; Mitochondria play a pivotal role in cell survival and cell death because they are regulators of both energy metabolism and apoptotic/necrotic pathways (Fiskum, 2000; Wieloch, 2001; Friberg and Wieloch, 2002). The production of ATP via oxidative phosphorylation is a vital mitochondrial function (Kann and Kov&amp;aacute;cs, 2007; Nunnari and Suomalainen, 2012). The ATP is continuously required for signalling processes (e.g. Ca2+ signalling), maintenance of ionic gradients across membranes, and biosynthetic processes (e.g. protein synthesis, heme synthesis or lipid and phospholipid metabolism) (Kang and Pervaiz, 2012), and (Green, 1998; McBride et al., 2006). Inhibition of mitochondrial respiration contributes to various cellular stress responses, such as deregulation of cellular Ca2+ homeostasis (Graier et al., 2007) and ROS production (Nunnari and Suomalainen, 2012; reviewed Mei et al., 2013).). It is well established in the existing literature that mitochondrial dysfunction may result in: (a) an increased ROS production and a decreased ATP level, (b) the loss of mitochondrial protein import and protein biosynthesis, (c) the reduced activities of enzymes of the mitochondrial respiratory chain and the Krebs cycle, (d) the loss of the mitochondrial membrane potential, (e) the loss of mitochondrial motility, causing a failure to re-localize to the sites with increased energy demands (f) the destruction of the mitochondrial network, and (g) increased mitochondrial Ca2+ uptake, causing Ca2+ overload (reviewed in Lin and Beal, 2006; Graier et al., 2007), (h) the rupture of the mitochondrial inner and outer membranes, leading to (i) the release of mitochondrial pro-death factors, including cytochrome c (Cyt. c), apoptosis-inducing factor, or endonuclease G (Braun, 2012; Martin, 2011; Correia et al., 2012; Cozzolino et al., 2013), which eventually leads to apoptotic, necrotic or autophagic cell death (Wang and Qin, 2010). Due to their structural and functional complexity, mitochondria present multiple targets for various compounds.&lt;/p&gt;
</description>
    <measurement-methodology>&lt;p&gt;Mitochondrial dysfunction can be detected using isolated mitochondria, intact cells or cells in culture as well as in vivo studies. Such assessment can be performed with a large range of methods (revised by Brand and Nicholls, 2011) for which some important examples are given. All approaches to assess mitochondrial dysfunction fall into two main categories: the first assesses the consequences of a loss-of-function, i.e. impaired functioning of the respiratory chain and processes linked to it. Some assay to assess this have been described for KE1, with the limitation that they are not specific for complex I. In the context of overall mitochondrial dysfunction, the same assays provide useful information, when performed under slightly different assay conditions (e.g. without addition of complex III and IV inhibitors). The second approach assesses a &amp;lsquo;non-desirable gain-of-function&amp;rsquo;, i.e. processes that are usually only present to a very small degree in healthy cells, and that are triggered in a cell, in which mitochondria fail.&lt;/p&gt;

&lt;p&gt;I. Mitochondrial dysfunction assays assessing a loss-of function.&lt;/p&gt;

&lt;p&gt;1. Cellular oxygen consumption.&lt;/p&gt;

&lt;p&gt;See KE1 for details of oxygen consumption assays. The oxygen consumption parameter can be combined with other endpoints to derive more specific information on the efficacy of mitochondrial function. One approach measures the ADP-to-O ratio (the number of ADP molecules phosphorylated per oxygen atom reduced (Hinkle, 1995 and Hafner et al., 1990). The related P/O ratio is calculated from the amount of ADP added, divided by the amount of O&lt;sub&gt;2&lt;/sub&gt; consumed while phosphorylating the added ADP (Ciapaite et al., 2005; Diepart et al., 2010; Hynes et al., 2006; James et al., 1995; von Heimburg et al., 2005).&lt;/p&gt;

&lt;p&gt;2. Mitochondrial membrane potential (&amp;Delta;&amp;psi;m ).&lt;/p&gt;

&lt;p&gt;The mitochondrial membrane potential (&amp;Delta;&amp;psi;m) is the electric potential difference across the inner mitochondrial membrane. It requires a functioning respiratory chain in the absence of mechanisms that dissipate the proton gradient without coupling it to ATP production. The classical, and still most quantitative method uses a tetraphenylphosphonium ion (TPP+)-sensitive electrode on suspensions of isolated mitochondria. The &amp;Delta;&amp;psi;m can also be measured in live cells by fluorimetric methods. These are based on dyes which accumulate in mitochochondria because of &amp;Delta;&amp;psi;m. Frequently used are tetramethylrhodamineethylester (TMRE), tetramethylrhodaminemethyl ester (TMRM) (Petronilli et al., 1999) or 5,5&amp;prime;,6,6&amp;prime;-tetrachloro-1,1&amp;prime;,3,3&amp;prime;-tetraethylbenzimidazole carbocyanide iodide (JC-1). Mitochondria with intact membrane potential concentrate JC-1, so that it forms red fluorescent aggregates, whereas de-energized mitochondria cannot concentrate JC-1 and the dilute dye fluoresces green (Barrientos et al., 1999). Assays using TMRE or TMRM measure only at one wavelength (red fluorescence), and depending on the assay setup, de-energized mitochondria become either less fluorescent (loss of the dye) or more fluorescent (attenuated dye quenching).&lt;/p&gt;

&lt;p&gt;3. Enzymatic activity of the electron transport system (ETS).&lt;/p&gt;

&lt;p&gt;Determination of ETS activity can be dene&amp;nbsp;following Owens and King&amp;#39;s assay (1975). The technique is based on a cell-free homogenate that is incubated with NADH to saturate the mitochondrial ETS and an artificial electron acceptor [l - (4 -iodophenyl) -3 - (4 -nitrophenyl) -5-phenylte trazolium chloride (INT)] to register the electron transmission rate. The oxygen consumption rate is calculated from the molar production rate of INT-formazan which is determined spectrophotometrically (Cammen et al., 1990).&lt;/p&gt;

&lt;p&gt;4. ATP content.&lt;/p&gt;

&lt;p&gt;For the evaluation of ATP levels, various commercially-available ATP assay kits are offered &amp;nbsp;based on luciferin and luciferase activity. For isolated mitochondria various methods are available to continuously measure ATP with electrodes (Laudet 2005), with luminometric methods, or for obtaining more information on different nucleotide phosphate pools (e.g. Ciapaite et al., (2005).&lt;/p&gt;

&lt;p&gt;&lt;br /&gt;
II. Mitochondrial dysfunction assays assessing a gain-of function.&lt;/p&gt;

&lt;p&gt;&lt;br /&gt;
1. Mitochondrial permeability transition pore opening (PTP).&lt;/p&gt;

&lt;p&gt;The opening of the PTP is associated with a permeabilization of mitochondrial membranes, so that different compounds and cellular constituents can change intracellular localization. This can be measured by assessment of the translocation of cytochrome c, adenylate kinase or AIF from mitochondria to the cytosol or nucleus. The translocation can be assessed biochemically in cell fractions, by imaging approaches in fixed cells or tissues or by life-cell imaging of GFP fusion proteins (Single 1998; Modjtahedi 2006). An alternative approach is to measure the accessibility of cobalt to the mitochondrial matrix in a calcein fluorescence quenching assay in live permeabilized cells (Petronilli et al., 1999).&lt;/p&gt;

&lt;p&gt;2. mtDNA damage as a biomarker of mitochondrial dysfunction.&lt;/p&gt;

&lt;p&gt;Various quantitative polymerase chain reaction (QPCR)-based assays have been developed to detect changes of DNA structure and sequence in the mitochondrial genome. mtDNA damage can be detected in blood after low-level rotenone exposure, and the damage persists even after CI activity has returned to normal. With a more sustained rotenone exposure, mtDNA damage is also detected in skeletal muscle. These data support the idea that mtDNA damage in peripheral tissues in the rotenone model may provide a biomarker of past or ongoing mitochondrial toxin exposure (Sanders et al., 2014a and 2014b).&lt;/p&gt;

&lt;p&gt;3. Generation of ROS and resultant oxidative stress.&lt;/p&gt;

&lt;p&gt;a. General approach. Electrons from the mitochondrial ETS may be transferred &amp;lsquo;erroneously&amp;rsquo; to molecular oxygen to form superoxide anions. This type of side reaction can be strongly enhanced upon mitochondrial damage. As superoxide may form hydrogen peroxide, hydroxyl radicals or other reactive oxygen species, a large number of direct ROS assays and assays assessing the effects of ROS (indirect ROS assays) are available (Adam-Vizi, 2005; Fan and Li 2014). Direct assays are based on the chemical modification of fluorescent or luminescent reporters by ROS species. Indirect assays assess cellular metabolites, the concentration of which is changed in the presence of ROS (e.g. glutathione, malonaldehyde, isoprostanes,etc.) At the animal level the effects of oxidative stress are measured from biomarkers in the blood or urine.&lt;/p&gt;

&lt;p&gt;b. Measurement of the cellular glutathione (GSH) status. GSH is regenerated from its oxidized form (GSSH) by the action of an NADPH dependent reductase (GSSH + NADPH + H+ &amp;agrave; 2 GSH + NADP+). The ratio of GSH/GSSG is therefore a good indicator for the cellular NADH+/NADPH ratio (i.e. the redox potential). GSH and GSSH levels can be determined by HPLC, capillary electrophoresis, or biochemically with DTNB (Ellman&amp;rsquo;s reagent). As excess GSSG is rapidly exported from most cells to maintain a constant GSH/GSSG ratio, a reduction of total glutathione (GSH/GSSG) is often a good surrogate measure for oxidative stress.&lt;/p&gt;

&lt;p&gt;c. Quantification of lipid peroxidation. Measurement of lipid peroxidation has historically relied on the detection of thiobarbituric acid (TBA)-reactive compounds such as malondialdehyde generated from the decomposition of cellular membrane lipid under oxidative stress (Pryor et al., 1976). This method is quite sensitive, but not highly specific. A number of commercial assay kits are available for this assay using absorbance or fluorescence detection technologies. The formation of F2-like prostanoid derivatives of arachidonic acid, termed F2-isoprostanes (IsoP) has been shown to be more specific for lipid peroxidation. A number of commercial ELISA kits have been developed for IsoPs, but interfering agents in samples requires partial purification before analysis. Alternatively, GC/MS may be used, as robust (specific) and sensitive method.&lt;/p&gt;

&lt;p&gt;&lt;br /&gt;
d. Detection of superoxide production. Generation of superoxide by inhibition of complex I and the methods for its detection are described by Grivennikova and Vinogradov (2014). A range of different methods is also described by BioTek (&lt;a class="external free" href="http://www.biotek.com/resources/articles/reactive-oxygen-species.html" rel="nofollow" target="_blank"&gt;http://www.biotek.com/resources/articles/reactive-oxygen-species.html&lt;/a&gt;). The reduction of ferricytochrome c to ferrocytochrome c may be used to assess the rate of superoxide formation (McCord, 1968). Like in other superoxide assays, specificity can only be obtained by measurements in the&amp;nbsp;absence and presence of superoxide dismutase. Chemiluminescent reactions have been used for their increased sensitivity. The most widely used chemiluminescent substrate is lucigenin. Coelenterazine has also been used as a chemiluminescent substrate. Hydrocyanine dyes are fluorogenic sensors for superoxide and hydroxyl radical, and they become membrane impermeable after oxidation (trapping at site of formation). The best characterized of these probes are Hydro-Cy3 and Hydro-Cy5. generation of superoxide in mitochondria can be visualized using fluorescence microscopy with MitoSOX&amp;trade; Red reagent (Life Technologies). MitoSOX&amp;trade; Red reagent is a cationic derivative of dihydroethidium that permeates live cells and accumulates in mitochondria.&lt;/p&gt;

&lt;p&gt;e. Detection of hydrogen peroxide (H&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;2&lt;/sub&gt;) production. There are a number of fluorogenic substrates, which serve as hydrogen donors that have been used in conjunction with horseradish peroxidase (HRP) enzyme to produce intensely fluorescent products in the presence of hydrogen peroxide (Zhou et al., 1997: Ruch et al., 1983). The more commonly used substrates include diacetyldichloro-fluorescein, homovanillic acid, and Amplex&amp;reg; Red. In these examples, increasing amounts of H&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;2&lt;/sub&gt; form increasing amounts of fluorescent product (Tarpley et al., 2004).&lt;/p&gt;

&lt;p&gt;Summing up, mitochondrial dysfunction can be measured by: &amp;bull; ROS production: superoxide (O2-), and hydroxyl radicals (OH&amp;minus;) &amp;bull; Nitrosative radical formation such as ONOO&amp;minus; or directly by: &amp;bull; Loss of mitochondrial membrane potential (MMP) &amp;bull; Opening of mitochondrial permeability transition pores (mPTP) &amp;bull; ATP synthesis &amp;bull; Increase in mitochondrial Ca2+ &amp;bull; Cytochrome c release &amp;bull; AIF (apoptosis inducing factor) release from mitochondria &amp;bull; Mitochondrial Complexes enzyme activity &amp;bull; Measurements of mitochondrial oxygen consumption &amp;bull; Ultrastructure of mitochondria using electron microscope and mitochondrial fragmentation measured by labelling with DsRed-Mito expression (Knott et al, 2008) Mitochondrial dysfunction-induced oxidative stress can be measured by: &amp;bull; Reactive carbonyls formations (proteins oxidation) &amp;bull; Increased 8-oxo-dG immunoreactivity (DNA oxidation) &amp;bull; Lipid peroxidation (formation of malondialdehyde (MDA) and 4- hydroxynonenal (HNE) &amp;bull; 3-nitrotyrosine (3-NT) formation, marker of protein nitration &amp;bull; Translocation of Bid and Bax to mitochondria &amp;bull; Measurement of intracellular free calcium concentration ([Ca2+]i): Cells are loaded with 4 &amp;mu;M fura-2/AM). &amp;bull; Ratio between reduced and oxidized form of glutathione (GSH depletion) (Promega assay, TB369; Radkowsky et al., 1986) &amp;bull; Neuronal nitric oxide synthase (nNOS) activation that is Ca2+-dependent. All above measurements can be performed as the assays for each readout are well established in the existing literature (e.g. Bal-Price and Brown, 2000; Bal-Price et al., 2002; Fujikawa, 2015; Walker et al., 1995). See also KE &lt;a href="/wiki/index.php/Event:209" title="Event:209"&gt; Oxidative Stress, Increase&lt;/a&gt;&lt;/p&gt;

&lt;table border="1" cellpadding="1" cellspacing="1"&gt;
	&lt;tbody&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;p&gt;&lt;strong&gt;Assay Type &amp;amp; Measured Content&lt;/strong&gt;&lt;/p&gt;
			&lt;/td&gt;
			&lt;td&gt;&lt;strong&gt;Description&lt;/strong&gt;&lt;/td&gt;
			&lt;td&gt;&lt;strong&gt;Dose Range Studied&lt;/strong&gt;&lt;/td&gt;
			&lt;td&gt;
			&lt;p&gt;&lt;strong&gt;Assay Characteristics&lt;/strong&gt;&lt;/p&gt;

			&lt;p&gt;&lt;strong&gt;(Length/Ease of use/Accuracy)&lt;/strong&gt;&lt;/p&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;p&gt;&lt;strong&gt;Rhodamine 123 Assay&lt;/strong&gt;&lt;/p&gt;

			&lt;p&gt;Measuring Mitochondrial membrane potential (MMP) and its collapse&amp;nbsp;&lt;/p&gt;

			&lt;p&gt;(Shaki et al., 2012)&lt;/p&gt;
			&lt;/td&gt;
			&lt;td&gt;
			&lt;p&gt;Mitochondrial uptake of cationic fluorescent dye, rhodamine 123, is used for estimation of mitochondrial membrane potential. The fluorescence was monitored using Schimadzou RF-5000U fluorescence spectrophotometer at the excitation and emission wavelength of 490 nm and 535 nm, respectively.&lt;/p&gt;
			&lt;/td&gt;
			&lt;td&gt;50, 100 and 500 &amp;mu;M of uranyl acetate&lt;/td&gt;
			&lt;td&gt;
			&lt;p&gt;Short / easy&lt;/p&gt;

			&lt;p&gt;Medium accurancy&lt;/p&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;p&gt;&lt;strong&gt;TMRE fluorescence Assay&lt;/strong&gt;&lt;/p&gt;

			&lt;p&gt;Measuring Mitochondrial permeability transition pore (mPTP) opening&lt;/p&gt;

			&lt;p&gt;(Huser et al., 1998)&lt;/p&gt;
			&lt;/td&gt;
			&lt;td&gt;Laser scanning confocal microscopy in combination with the potentiometric fluorescence dye tetramethylrhodamine ethyl ester to monitor relative changes in membrane potential in single isolated cardiac mitochondria. The cationic dye distributes across the membrane in a voltage-dependent manner. Therefore, the large potential gradient across the inner mitochondrial membrane results in the accumulation of the fluorescent dye within the matrix compartment. Rapid depolarizations are caused by the opening of the transition pore.&lt;/td&gt;
			&lt;td&gt;1 &amp;micro;M cyclosporin A&lt;/td&gt;
			&lt;td&gt;
			&lt;p&gt;Short / easy&lt;/p&gt;

			&lt;p&gt;Low accurancy&lt;/p&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;p&gt;&lt;strong&gt;GSH / GSSG Determination Assay&lt;/strong&gt;&lt;/p&gt;

			&lt;p&gt;Measuring&amp;nbsp; cellular glutathione (GSH) status; ratio of GSH/GSSG&lt;/p&gt;

			&lt;p&gt;(Owen &amp;amp; Butterfield, 2010; Shaki et al., 2013)&lt;/p&gt;
			&lt;/td&gt;
			&lt;td&gt;GSH and GSSG levels are determinted biochemically with DTNB (Ellman&amp;rsquo;s reagent). The developed yellow color was read at 412 nm on a spectrophotometer.&lt;/td&gt;
			&lt;td&gt;100 &amp;micro;M uranyl acetate&lt;/td&gt;
			&lt;td&gt;
			&lt;p&gt;Short / easy&lt;/p&gt;

			&lt;p&gt;Low accurancy&lt;/p&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;p&gt;&lt;strong&gt;TBARS Assay&lt;/strong&gt;&lt;/p&gt;

			&lt;p&gt;Quantification of lipid peroxidation&lt;/p&gt;

			&lt;p&gt;(Yuan et al., 2016)&lt;/p&gt;
			&lt;/td&gt;
			&lt;td&gt;MDA content, a product of lipid peroxidation, was measured using a thiobarbituric acid reactive substances (TBARS) assay. Briefly, the kidney cells were collected in 1 ml PBS buffer solution (pH 7.4) and sonicated. MDA reacts with thiobarbituric acid forming a colored product which can be measured at an absorbance of 532 nm.&lt;/td&gt;
			&lt;td&gt;200, 400, 800 &amp;micro;M uranyl acetate&lt;/td&gt;
			&lt;td&gt;
			&lt;p&gt;Medium / medium&lt;/p&gt;

			&lt;p&gt;High accurancy&lt;/p&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;p&gt;&lt;strong&gt;Aequorin-based bioluminescence assay&lt;/strong&gt;&lt;/p&gt;

			&lt;p&gt;Increase in mitochondrial Ca&lt;sup&gt;2+&lt;/sup&gt; influx&lt;/p&gt;

			&lt;p&gt;(Pozzan &amp;amp; Rudolf, 2009)&lt;/p&gt;
			&lt;/td&gt;
			&lt;td&gt;Together with GFP, the aequorin moiety acts as Ca&lt;sup&gt;2+&lt;/sup&gt;&amp;nbsp;sensor &lt;em&gt;in vivo&lt;/em&gt;, which delivers emission energy to the GFP acceptor molecule in a BRET (Bioluminescence Resonance Energy Transfer) process; the Ca2+ can then be visualized with fluorescence microscopy.&lt;/td&gt;
			&lt;td&gt;&amp;nbsp;&lt;/td&gt;
			&lt;td&gt;
			&lt;p&gt;Short / easy&lt;/p&gt;

			&lt;p&gt;Low accurancy&lt;/p&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;p&gt;&lt;strong&gt;Western blot &amp;amp; immunostaining analyses&lt;/strong&gt;&lt;/p&gt;

			&lt;p&gt;Measuring cytochrome c release&lt;/p&gt;
			(Chen et al., 2000)&lt;/td&gt;
			&lt;td&gt;Examining the redistribution of Cyto c in cytosolic and mitochondrial cellular fractions. Cells are homogenized and centrifuged, then prepared for immunoblots. Cellular fractions were washed in PBS and lysed in 1% NP-40 buffer. Cellular proteins were separated by SDS&amp;ndash;PAGE, transferred onto nitrocellulose membranes, probed using immunoblot analyses with antibodies specific to cyto c (6581A for Western and 65971A for immunostaining; Pharmingen)&lt;/td&gt;
			&lt;td&gt;&amp;nbsp;&lt;/td&gt;
			&lt;td&gt;
			&lt;p&gt;Short / easy&lt;/p&gt;

			&lt;p&gt;Medium accurancy&lt;/p&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;p&gt;&lt;strong&gt;Quantikine Rat/Mouse Cytochrome c Immunoassay&lt;/strong&gt;&lt;/p&gt;

			&lt;p&gt;Measuring cytochrome c release&lt;/p&gt;

			&lt;p&gt;(Shaki et al., 2012)&lt;/p&gt;
			&lt;/td&gt;
			&lt;td&gt;Cytochrome C release was measured a monoclonal antibody specific for rat/mouse cytochrome c was precoated onto the microplate. Seventy-five microliter of conjugate (containing mono- clonal antibody specific for cytochrome c conjugated to horseradish peroxidase). After 2 h of incubation, the substrate solution (100 &amp;mu;l) was added to each well and incubated for 30 min. After 100 &amp;mu;l of the stop solution was added to each well; the optical density of each well was determined by the aforementioned microplate spectrophotometer set to 450 nm.&lt;/td&gt;
			&lt;td&gt;&amp;nbsp;&lt;/td&gt;
			&lt;td&gt;
			&lt;p&gt;Short / easy&lt;/p&gt;

			&lt;p&gt;Low accurancy&lt;/p&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;p&gt;&lt;strong&gt;Membrane potential and cell viability &amp;ndash; Flow Cytometry&lt;/strong&gt;&lt;/p&gt;

			&lt;p&gt;Measuring cytochrome c release&lt;/p&gt;

			&lt;p&gt;(Kruidering et al., 1997)&lt;/p&gt;
			&lt;/td&gt;
			&lt;td&gt;&amp;ldquo;Dc and viability were determined by analyzing the R123 and propidium iodide fluorescence intensity with a FACScan flow cytometer (Becton Dickinson, San Jose, CA) equipped with an argon laser, with the Lysis software program (Becton Dickinson). R123 is a cationic dye that accumulates in the negatively charged inner side of the mitochondria. When the potential drops, less R123 accumulates in the mitochondria, which results in a lower fluorescence signal. The potential was measured as follows: at the indicated times, a 500-ml sample of the cell suspension was taken and transferred to an Eppendorf minivial. To this sample, 100 ml of 6 mM R123 in buffer D was added. After incubation for 10 min at 37&amp;deg;C, the cell suspension was centrifuged for 5 min at 80 3 &lt;em&gt;g&lt;/em&gt;. The cell pellet was resuspended in 200 ml of buffer D, containing 0.2 mM R123 and 10 mM propidium iodide, to prevent loss of R123 and to stain nonviable cells, respectively. The samples were transferred to FACScan tubes and analyzed immediately. Analysis was performed at a flow rate of&lt;br /&gt;
			60 ml/min. R123 fluorescence was detected by the FL1 detector with an emission detection limit below 560 nm. Propidium iodide fluorescence was detected by the FL3 detector, with emission detection above 620 nm. Per sample 3,000 to 5,000 cells were counted (Van de Water &lt;em&gt;et al.&lt;/em&gt;, 1993)&amp;rdquo;&lt;/td&gt;
			&lt;td&gt;&amp;nbsp;&lt;/td&gt;
			&lt;td&gt;
			&lt;p&gt;Short / easy&lt;/p&gt;

			&lt;p&gt;Medium accurancy&lt;/p&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
	&lt;/tbody&gt;
&lt;/table&gt;
</measurement-methodology>
    <evidence-supporting-taxonomic-applicability>&lt;p&gt;Mitochondrial dysfunction is a universal event occurring in cells of any species (Farooqui and Farooqui, 2012). Many invertebrate species (drosophila, C, elegans) are considered as potential models to study mitochondrial function. New data on marine invertebrates, such as molluscs and crustaceans and non-Drosophila species, are emerging (Martinez-Cruz et al., 2012). Mitochondrial dysfunction can be measured in animal models used for toxicity testing (Winklhofer and Haass, 2010; Waerzeggers et al., 2010) as well as in humans (Winklhofer and Haass, 2010).&lt;/p&gt;
</evidence-supporting-taxonomic-applicability>
    <cell-term>
      <source-id>CL:0000255</source-id>
      <source>CL</source>
      <name>eukaryotic cell</name>
    </cell-term>
    <applicability>
      <sex>
        <evidence>Not Specified</evidence>
        <sex>Unspecific</sex>
      </sex>
      <life-stage>
        <evidence>Not Specified</evidence>
        <life-stage>All life stages</life-stage>
      </life-stage>
      <taxonomy taxonomy-id="012805b0-a4f2-4097-b4d6-53df40dd60e6">
        <evidence>High</evidence>
      </taxonomy>
      <taxonomy taxonomy-id="d8d5c0fb-d5d8-4701-9119-f44d1542d797">
        <evidence>High</evidence>
      </taxonomy>
      <taxonomy taxonomy-id="9b9ef73d-a88c-433b-80be-01115fd3404e">
        <evidence>High</evidence>
      </taxonomy>
    </applicability>
    <biological-events>
      <biological-event object-id="a0be93bd-1b81-49b6-9df4-b92dbefe605d" action-id="231f4246-bdbe-47b0-95d4-42416da3371b"/>
    </biological-events>
    <references>&lt;p&gt;&amp;nbsp;&lt;/p&gt;

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&lt;p&gt;Bal-Price A. and Guy C. Brown. Nitric-oxide-induced necrosis and apoptosis in PC12 cells mediated by mitochondria. J. Neurochemistry, 2000, 75: 1455-1464.&lt;/p&gt;

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&lt;p&gt;Kruidering, M., Van De Water, B., De Heer, E., Mulder, G. J., &amp;amp; Nagelkerke, J. F. (1997). Cisplatin-induced nephrotoxicity in porcine proximal tubular cells: Mitochondrial dysfunction by inhibition of complexes I to IV of the respiratory chain.&amp;nbsp;The Journal of Pharmacology and Experimental Therapeutics,&amp;nbsp;280(2), 638-649.&lt;/p&gt;

&lt;p&gt;Llaudet E, Hatz S, Droniou M, Dale N. Microelectrode biosensor for real-time measurement of ATP in biological tissue. Anal Chem. 2005, 77(10):3267-73.&lt;/p&gt;

&lt;p&gt;Lee HC, Wei YH. (2012). Mitochondria and aging. Adv Exp Med Biol 942:311-327.&lt;/p&gt;

&lt;p&gt;Li N, Ragheb K, Lawler G, Sturgis J, Rajwa B, et al. Mitochondrial complex I inhibitor rotenone induces apoptosis through enhancing mitochondrial reactive oxygen species production. J Biol Chem.2003;278:8516&amp;ndash;8525.&lt;/p&gt;

&lt;p&gt;Lin MT, Beal MF. Mitochondrial dysfunction and oxidative stress in neurodegenerative diseases. Nature 2006. 443:787-795.&lt;/p&gt;

&lt;p&gt;Martin LJ. (2011). Mitochondrial pathobiology in ALS. J Bioenerg Biomembr 43:569 &amp;ndash; 579.&lt;/p&gt;

&lt;p&gt;Martinez-Cruz, Oliviert Sanchez-Paz, Arturo Garcia-Carre&amp;ntilde;o, Fernando Jimenez-Gutierrez, Laura Ma. de los Angeles Navarrete del Toro and Adriana Muhlia-Almazan. Invertebrates Mitochondrial Function and Energetic Challenges (www.intechopen.com), Bioenergetics, Edited by Dr Kevin Clark, &lt;a class="internal mw-magiclink-isbn" href="/wiki/index.php/Special:BookSources/9789535100904"&gt;ISBN 978-953-51-0090-4&lt;/a&gt;, Publisher InTech, 2012, 181-218.&lt;/p&gt;

&lt;p&gt;McBride HM, Neuspiel M, Wasiak S. (2006). Mitochondria: more than just a powerhouse. Curr Biol 16:R551&amp;ndash;560.&lt;/p&gt;

&lt;p&gt;McCord, J.M. and I. Fidovich (1968) The Reduction of Cytochrome C by Milk Xanthine Oxidase. J. Biol. Chem. 243:5733-5760.&lt;/p&gt;

&lt;p&gt;Mei Y, Thompson MD, Cohen RA, Tong X. (2013) Endoplasmic Reticulum Stress and Related Pathological Processes. J Pharmacol Biomed Anal.. 1:100-107.&lt;/p&gt;

&lt;p&gt;Miccadei, S., &amp;amp; Floridi, A. (1993). Sites of inhibition of mitochondrial electron transport by cadmium.&amp;nbsp;Elsevier Scientific Publishers Ireland Ltd.,&amp;nbsp;89, 159-167.Xu, X. M., &amp;amp; M&amp;oslash;ller, S. G. (2010). ROS removal by DJ-1: Arabidopsis as a new model to understand Parkinson&amp;#39;s Disease.&amp;nbsp;Plant signaling &amp;amp; behavior,&amp;nbsp;5(8), 1034&amp;ndash;1036. doi:10.4161/psb.5.8.12298&lt;/p&gt;

&lt;p&gt;Modjtahedi N, Giordanetto F, Madeo F, Kroemer G. Apoptosis-inducing factor: vital and lethal. Trends Cell Biol. 2006 May;16(5):264-72.&lt;/p&gt;

&lt;p&gt;Nunnari J, Suomalainen A. (2012). Mitochondria: in sickness and in health. Cell 148:1145&amp;ndash;1159. Hajn&amp;oacute;czky G, Csord&amp;aacute;s G, Das S, Garcia-Perez C, Saotome M, Sinha Roy S, Yi M. (2006). Mitochondrial calcium signalling and cell death: approaches for assessing the role of mitochondrial Ca2+ uptake in apoptosis. Cell Calcium 40:553-560.&lt;/p&gt;

&lt;p&gt;Oliviert Martinez-Cruz, Arturo Sanchez-Paz, Fernando Garcia-Carre&amp;ntilde;o, Laura Jimenez-Gutierrez, Ma. de los Angeles Navarrete del Toro and Adriana Muhlia-Almazan. Invertebrates Mitochondrial Function and Energetic Challenges (www.intechopen.com), Bioenergetics, Edited by Dr Kevin Clark, &lt;a href="/wiki/index.php/Special:BookSources/9789535100904"&gt;ISBN 978-953-51-0090-4&lt;/a&gt;, Publisher InTech, 2012, 181-218.&lt;/p&gt;

&lt;p&gt;Owen, J. B., &amp;amp; Butterfield, D. A. (2010). Measurement of oxidized/reduced glutathione ratio.&amp;nbsp;Methods in Molecular Biology (Clifton, N.J.),&amp;nbsp;648, 269-277. doi:10.1007/978-1-60761-756-3_18 [doi]&lt;/p&gt;

&lt;p&gt;Owens R.G. and King F.D. The measurement of respiratory lectron-transport system activity in marine zooplankton. Mar. Biol. 1975, 30:27-36.&lt;/p&gt;

&lt;p&gt;Pan, Y., Leifer, A., Ruau, D., Neuss, S., Bonrnemann, J., Schmid, G., . . . Jahnen-Dechent, W. (2009). Gold nanoparticles of diameter 1.4 nm trigger necrosis by oxidative stress and mitochondrial damage. Small, 5(8), 2067-2076. doi:10.1002/smll.200900466&lt;/p&gt;

&lt;p&gt;Petronilli V, Miotto G, Canton M, Brini M, Colonna R, Bernardi P, Di Lisa F: Transient and long-lasting openings of the mitochondrial permeability transition pore can be monitored directly in intact cells by changes in mitochondrial calcein fluorescence. Biophys J 1999, 76:725-734.&lt;/p&gt;

&lt;p&gt;Pozzan, T., &amp;amp; Rudolf, R. (2009). Measurements of mitochondrial calcium in vivo.&amp;nbsp;Biochimica Et Biophysica Acta (BBA) - Bioenergetics,&amp;nbsp;1787(11), 1317-1323. doi:&lt;a href="https://doi.org/10.1016/j.bbabio.2008.11.012" target="_blank"&gt;https://doi.org/10.1016/j.bbabio.2008.11.012&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Promega GSH-Glo Glutathione Assay Technical Bulletin, TB369, Promega Corporation, Madison, WI.&lt;/p&gt;

&lt;p&gt;Pryor, W.A., J.P. Stanley, and E. Blair. (1976) Autoxidation of polyunsaturated fatty acids: II. A Suggested mechanism for the Formation of TBA-reactive materials from prostaglandin-like Endoperoxides. Lipids, 11:370-379.&lt;/p&gt;

&lt;p&gt;Radkowsky, A.E. and E.M. Kosower (1986) Bimanes 17. (Haloalkyl)-1,5-diazabicyclo[3.3.O]octadienediones (halo-9,10- dioxabimanes): reactivity toward the tripeptide thiol, glutathione, J. Am. Chem. Soc 108:4527-4531.&lt;/p&gt;

&lt;p&gt;Ruch, W., P.H. Cooper, and M. Baggiollini (1983) Assay of H2O2 production by macrophages and neutrophils with Homovanillic acid and horseradish peroxidase. J. Immunol Methods 63:347-357.&lt;/p&gt;

&lt;p&gt;Sanders LH, McCoy J, Hu X, Mastroberardino PG, Dickinson BC, Chang CJ, Chu CT, Van Houten B, Greenamyre JT. (2014a). Mitochondrial DNA damage: molecular marker of vulnerable nigral neurons in Parkinson&amp;#39;s disease. Neurobiol Dis. 70:214-23.&lt;/p&gt;

&lt;p&gt;Sanders LH, Howlett EH2, McCoy J, Greenamyre JT. (2014b) Mitochondrial DNA damage as a peripheral biomarker for mitochondrial toxin exposure in rats. Toxicol Sci. Dec;142(2):395-402.&lt;/p&gt;

&lt;p&gt;Shaki, F., Hosseini, M. J., Ghazi-Khansari, M., &amp;amp; Pourahmad, J. (2012). Toxicity of depleted uranium on isolated rat kidney mitochondria.&amp;nbsp;Biochimica Et Biophysica Acta - General Subjects,&amp;nbsp;1820(12), 1940-1950. doi:10.1016/j.bbagen.2012.08.015&lt;/p&gt;

&lt;p&gt;Shaki, F., Hosseini, M., Ghazi-Khansari, M., &amp;amp; Pourahmad, J. (2013). Depleted uranium induces disruption of energy homeostasis and oxidative stress in isolated rat brain mitochondria.&amp;nbsp;Metallomics,&amp;nbsp;5(6), 736-744. doi:10.1039/c3mt00019b&lt;/p&gt;

&lt;p&gt;Single B, Leist M, Nicotera P. Simultaneous release of adenylate kinase and cytochrome c in cell death. Cell Death Differ. 1998 Dec;5(12):1001-3.&lt;/p&gt;

&lt;p&gt;Tahira Farooqui and Akhlaq A. Farooqui. (2012) Oxidative stress in Vertebrates and Invertebrate: molecular aspects of cell signalling. Wiley-Blackwell,Chapter 27, pp:377- 385.&lt;/p&gt;

&lt;p&gt;Tarpley, M.M., D.A. Wink, and M.B. Grisham (2004) Methods for detection of reactive Metabolites of Oxygen and Nitrogen: in vitro and in vivo considerations. Am . J. Physiol Regul Integr Comp Physiol. 286:R431-R444.&lt;/p&gt;

&lt;p&gt;von Heimburg, D. Hemmrich, K. Zachariah S.,. Staiger, H Pallua, N.(2005) Oxygen consumption in undifferentiated versus differentiated adipogenic mesenchymal precursor cells, Respir. Physiol. Neurobiol. 146 (2005) 107&amp;ndash;116.&lt;/p&gt;

&lt;p&gt;Waerzeggers, Yannic Monfared, Parisa Viel, Thomas Winkeler, Alexandra Jacobs, Andreas H. (2010) Mouse models in neurological disorders: Applications of non-invasive imaging, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Volume 1802, Issue 10, Pages 819-839.&lt;/p&gt;

&lt;p&gt;Walker JE, Skehel JM, Buchanan SK. (1995) Structural analysis of NADH: ubiquinone oxidoreductase from bovine heart mitochondria. Methods Enzymol.;260:14&amp;ndash;34.&lt;/p&gt;

&lt;p&gt;Wang A, Costello S, Cockburn M, Zhang X, Bronstein J, Ritz B. (2011). Parkinson&amp;rsquo;s disease risk from ambient exposure to pesticides. Eur J Epidemiol 26:547-555.&lt;/p&gt;

&lt;p&gt;Wang, L., Li, J., Li, J., &amp;amp; Liu, Z. (2009). Effects of lead and/or cadmium on the oxidative damage of rat kidney cortex mitochondria.&amp;nbsp;Biol.Trace Elem.Res.,&amp;nbsp;137, 69-78. doi:10.1007/s12011-009-8560-1&lt;/p&gt;

&lt;p&gt;Wang Y., and Qin ZH., Molecular and cellular mechanisms of excitotoxic neuronal death, Apoptosis, 2010, 15:1382-1402.&lt;/p&gt;

&lt;p&gt;Wieloch T. (2001). Mitochondrial Involvement in Acute Neurodegeneration 52:247&amp;ndash;254.&lt;/p&gt;

&lt;p&gt;Winklhofer, K. Haass,C (2010) Mitochondrial dysfunction in Parkinson&amp;#39;s disease, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, 1802: 29-44.&lt;/p&gt;

&lt;p&gt;Yuan, Y., Zheng, J., Zhao, T., Tang, X., &amp;amp; Hu, N. (2016). Uranium-induced rat kidney cell cytotoxicity is mediated by decreased endogenous hydrogen sulfide (H2S) generation involved in reduced Nrf2 levels.&amp;nbsp;Toxicology Research,&amp;nbsp;5(2), 660-673. doi:10.1039/C5TX00432B&lt;/p&gt;

&lt;p&gt;Zhang, H., Chang, Z., Mehmood, K., Abbas, R. Z., Nabi, F., Rehman, M. U., . . . Zhou, D. (2018). Nano copper induces apoptosis in PK-15 cells via a mitochondria-mediated pathway.&amp;nbsp;Biological Trace Element Research,&amp;nbsp;181(1), 62-70. doi:10.1007/s12011-017-1024-0&lt;/p&gt;

&lt;p&gt;Zhou, M., Z.Diwu, Panchuk-Voloshina, N. and R.P. Haughland (1997), A Stable nonfluorescent derivative of resorufin for the fluorometric determination of trace hydrogen peroxide: application in detecting the activity of phagocyte NADPH oxidase and other oxidases. Anal. Biochem 253:162-168.&lt;/p&gt;
</references>
    <source>AOPWiki</source>
    <creation-timestamp>2016-11-29T18:41:23</creation-timestamp>
    <last-modification-timestamp>2022-03-07T07:12:30</last-modification-timestamp>
  </key-event>
  <key-event id="0cf6e41a-509b-40cb-a1a3-a2ce4e4f5435">
    <title>Decrease of neuronal network function</title>
    <short-name>Neuronal network function, Decreased</short-name>
    <biological-organization-level>Organ</biological-organization-level>
    <description>&lt;p&gt;&lt;strong&gt;Biological state:&lt;/strong&gt; There are striking differences in neuronal network formation and function among the developing and mature brain. The developing brain shows a slow maturation and a transient passage from spontaneous, long-duration action potentials to synaptically-triggered, short-duration action potentials.&lt;/p&gt;

&lt;p&gt;Furthermore, at this precise developmental stage the neuronal network is characterised by &amp;quot;hyperexcitability&amp;rdquo;, which is related to the increased number of local circuit recurrent excitatory synapses and the lack of &amp;gamma;-amino-butyric acid A (GABAA)-mediated inhibitory function that appears much later. This &amp;ldquo;hyperexcitability&amp;rdquo; disappears with maturation when pairing of the pre- and postsynaptic partners occurs and synapses are formed generating population of postsynaptic potentials and population of spikes followed by developmental GABA switch. Glutamatergic neurotransmission is dominant at early stages of development and NMDA receptor-mediated synaptic currents are far more times longer than those in maturation, allowing more calcium to enter the neurons. The processes that are involved in increased calcium influx and the subsequent intracellular events seem to play a critical role in establishment of wiring of neural circuits and strengthening of synaptic connections during development (reviewed in Erecinska et al., 2004). Neurons that do not receive glutaminergic stimulation are undergoing developmental apoptosis.&lt;/p&gt;

&lt;p&gt;During the neonatal period, the brain is subject to profound alterations in neuronal circuitry due to high levels of synaptogenesis and gliogenesis. For example, in neuroendocrine regions such as the preoptic area-anterior hypothalamus (POA-AH), the site of gonadotropin-releasing hormone (GnRH) system is developmentally regulated by glutamatergic neurons. The changes in the expression of the N-methyl-D-aspartate (NMDA) receptor subunits NR1 and NR2B system begin early in postnatal development, before the onset of puberty, thereby playing a role in establishing the appropriate environment for the subsequent maturation of GnRH neurons (Adams et al., 1999).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Biological compartments:&lt;/strong&gt; Neural network formation and function happen in all brain regions but it appears to onset at different time points of development (reviewed in Erecinska et al., 2004). Glutamatergic neurotransmission in hippocampus is poorly developed at birth. Initially, NMDA receptors play important role but the vast majority of these premature glutamatergic synapses are &amp;ldquo;silent&amp;rdquo; possibly due to delayed development of hippocampal AMPA receptors. In contrast, in the cerebral cortex the maturation of excitatory glutamatergic neurotransmission happens much earlier. The &amp;ldquo;silent&amp;rdquo; synapses disappear by PND 7-8 in both brain regions mentioned above.&lt;/p&gt;

&lt;p&gt;There is strong evidence suggesting that NMDA receptor subunit composition controls synaptogenesis and synapse stabilization (Gambrill and Barria, 2011). It is established fact that during early postnatal development in the rat hippocampus, synaptogenesis occurs in parallel with a developmental switch in the subunit composition of NMDA receptors from NR2B to NR2A. It is suggested that early expression of NR2A in organotypic hippocampal slices reduces the number of synapses and the volume and dynamics of spines. In contrast, overexpression of NR2B does not affect the normal number and growth of synapses. However, it does increase spine motility, adding and retracting spines at a higher rate. The C terminus of NR2B, and specifically its ability to bind CaMKII, is sufficient to allow proper synapse formation and maturation. Conversely, the C terminus of NR2A was sufficient to stop the development of synapse number and spine growth. These results indicate that the ratio of synaptic NR2B over NR2A controls spine motility and synaptogenesis, and suggest a structural role for the intracellular C terminus of NR2 in recruiting the signalling and scaffolding molecules necessary for proper synaptogenesis. Interestingly, it was found that genetic deletion of NR3A accelerates glutamatergic synaptic transmission, as measured by AMPAR-mediated postsynaptic currents recorded in hippocampal CA1. Consistent, the deletion of NR3A accelerates the expression of the glutamate receptor subunits NR1, NR2A, and GluR1 sugesting that glutamatergic synapse maturation is critically dependent upon activation of NMDA-type glutamate receptors (Henson et al., 2012).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;General role in biology:&lt;/strong&gt; The development of neuronal networks can be distinguished into two phases: an early &amp;lsquo;establishment&amp;rsquo; phase of neuronal connections, where activity-dependent and independent mechanisms could operate, and a later &amp;lsquo;maintenance&amp;rsquo; phase, which appears to be controlled by neuronal activity (Yuste and Sur, 1999). These neuronal networks facilitate information flow that is necessary to produce complex behaviors, including learning and memory (Mayford et al., 2012).&lt;/p&gt;
</description>
    <measurement-methodology>&lt;p&gt;&lt;em&gt;Methods that have been previously reviewed and approved by a recognized authority should be included in the Overview section above. All other methods, including those well established in the published literature, should be described here. Consider the following criteria when describing each method: 1. Is the assay fit for purpose? 2. Is the assay directly or indirectly (i.e. a surrogate) related to a key event relevant to the final adverse effect in question? 3. Is the assay repeatable? 4. Is the assay reproducible? &lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;In vivo:&lt;/strong&gt; The recording of brain activity by using electroencephalography (EEG), electrocorticography (ECoG) and local field potentials (LFP) assists towards the collection of signals generated by multiple neuronal cell networks. Advances in computer technology have allowed quantification of the EEG and expansion of quantitative EEG (qEEG) analysis providing a sensitive tool for time-course studies of different compounds acting on neuronal networks&amp;#39; function (Binienda et al., 2011). The number of excitatory or inhibitory synapses can be functionally studied at an electrophysiological level by examining the contribution of glutamatergic and GABAergic synaptic inputs. The number of them can be determined by variably clamping the membrane potential and recording excitatory and inhibitory postsynaptic currents (EPSCs or IPSCs) (Liu, 2004).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;In vitro:&lt;/strong&gt; Microelectrode array (MEA) recordings are also used to measure electrical activity in cultured neurons (Keefer et al., 2001, Gramowski et al., 2000; Gopal, 2003; Johnstone et al., 2010). MEAs can be applied in high throughput platforms to facilitate screening of numerous chemical compounds (McConnell et al., 2012). Using selective agonists and antagonists of different classes of receptors their response can be evaluated in a quantitative manner (Novellino et al., 2011; Hogberg et al., 2011).&lt;/p&gt;

&lt;p&gt;Patch clamping technique can also be used to measure neuronal network activity.In some cases, if required, planar patch clamping technique can also be used to measure neuronal networks activity (e.g., Bosca et al., 2014).&lt;/p&gt;
</measurement-methodology>
    <evidence-supporting-taxonomic-applicability>&lt;p&gt;In vitro studies in brain slices applying electrophysiological techniques showed significant variability among species (immature rats, rabbits and kittens) related to synaptic latency, duration, amplitude and efficacy in spike initiation (reviewed in Erecinska et al., 2004).&lt;/p&gt;
</evidence-supporting-taxonomic-applicability>
    <organ-term>
      <source-id>UBERON:0000955</source-id>
      <source>UBERON</source>
      <name>brain</name>
    </organ-term>
    <applicability>
      <sex>
        <evidence>High</evidence>
        <sex>Mixed</sex>
      </sex>
      <life-stage>
        <evidence>High</evidence>
        <life-stage>During brain development</life-stage>
      </life-stage>
      <taxonomy taxonomy-id="57f9380e-018c-4167-bbc0-0e3eae830e47">
        <evidence>High</evidence>
      </taxonomy>
      <taxonomy taxonomy-id="9b9ef73d-a88c-433b-80be-01115fd3404e">
        <evidence>High</evidence>
      </taxonomy>
      <taxonomy taxonomy-id="b9922ef9-2b09-44e6-9fe7-340852a58347">
        <evidence>High</evidence>
      </taxonomy>
      <taxonomy taxonomy-id="f5d111b6-f2b8-4f66-8554-c5ec1579bfd8">
        <evidence>High</evidence>
      </taxonomy>
    </applicability>
    <biological-events>
      <biological-event process-id="ecb2687f-ebbf-4495-aff8-71d091ff6126" action-id="1238bebd-5663-43c3-8674-a8b16a93176b"/>
    </biological-events>
    <references>&lt;p&gt;Adams MM, Flagg RA, Gore AC., Perinatal changes in hypothalamic N-methyl-D-aspartate receptors and their relationship to gonadotropin-releasing hormone neurons. Endocrinology. 1999 May;140(5):2288-96.&lt;/p&gt;

&lt;p&gt;Binienda ZK, Beaudoin MA, Thorn BT, Ali SF. (2011) Analysis of electrical brain waves in neurotoxicology: &amp;gamma;-hydroxybutyrate. Curr Neuropharmacol. 9: 236-239.&lt;/p&gt;

&lt;p&gt;Bosca, A., M. Martina, and C. Py (2014) Planar patch clamp for neuronal networks--considerations and future perspectives. Methods Mol Biol, 2014. 1183: p. 93-113.&lt;/p&gt;

&lt;p&gt;Erecinska M, Cherian S, Silver IA. (2004) Energy metabolism in mammalian brain during development. Prog Neurobiol. 73: 397-445.&lt;/p&gt;

&lt;p&gt;Gambrill AC, Barria A. NMDA receptor subunit composition controls synaptogenesis and synapse stabilization. Proc Natl Acad Sci U S A. 2011:108(14):5855-60.&lt;/p&gt;

&lt;p&gt;Gopal K. (2003) Neurotoxic effects of mercury on auditory cortex networks growing on microelectrode arrays: a preliminary analysis. Neurotoxicol Teratol. 25: 69-76.&lt;/p&gt;

&lt;p&gt;Gramowski A, Schiffmann D, Gross GW. (2000) Quantification of acute neurotoxic effects of trimethyltin using neuronal networks cultures on microelectrode arrays. Neurotoxicology 21: 331-342.&lt;/p&gt;

&lt;p&gt;Henson MA, Larsen RS, Lawson SN, P&amp;eacute;rez-Ota&amp;ntilde;o I, Nakanishi N, Lipton SA, Philpot BD. (2012) Genetic deletion of NR3A accelerates glutamatergic synapse maturation. PLoS One. 7(8).&lt;/p&gt;

&lt;p&gt;Hogberg HT, Sobanski T, Novellino A, Whelan M, Weiss DG, Bal-Price AK. (2011) Application of micro-electrode arrays (MEAs) as an emerging technology for developmental neurotoxicity: evaluation of domoic acid-induced effects in primary cultures of rat cortical neurons. Neurotoxicology 32: 158-168.&lt;/p&gt;

&lt;p&gt;Johnstone AFM, Gross GW, Weiss D, Schroeder O, Shafer TJ. (2010) Use of microelectrode arrays for neurotoxicity testing in the 21st century Neurotoxicology 31: 331-350.&lt;/p&gt;

&lt;p&gt;Keefer E, Norton S, Boyle N, Talesa V, Gross G. (2001) Acute toxicity screening of novel AChE inhibitors using neuronal networks on microelectrode arrays. Neurotoxicology 22: 3-12.&lt;/p&gt;

&lt;p&gt;Liu G. (2004) Local structural balance and functional interaction of excitatory and inhibitory synapses in hippocampal dendrites. Nat Neurosci. 7: 373-379.&lt;/p&gt;

&lt;p&gt;Mayford M, Siegelbaum SA, Kandel ER. (2012) Synapses and memory storage. Cold Spring Harb Perspect Biol. 4. pii: a005751.&lt;/p&gt;

&lt;p&gt;McConnell ER, McClain MA, Ross J, LeFew WR, Shafer TJ. (2012) Evaluation of multi-well microelectrode arrays for neurotoxicity screening using a chemical training set. Neurotoxicology 33: 1048-1057.&lt;/p&gt;

&lt;p&gt;Novellino A, Scelfo B, Palosaari T, Price A, Sobanski T, Shafer TJ, Johnstone AF, Gross GW, Gramowski A, Schroeder O, J&amp;uuml;gelt K, Chiappalone M, Benfenati F, Martinoia S, Tedesco MT, Defranchi E, D&amp;#39;Angelo P, Whelan M. (2011) Development of micro-electrode array based tests for neurotoxicity: assessment of interlaboratory reproducibility with neuroactive chemicals. Front Neuroeng. 4: 4.&lt;/p&gt;

&lt;p&gt;Yuste R, Peinado A, Katz LC. (1992) Neuronal domains in developing neocortex. Science 257: 665-669.&lt;/p&gt;
</references>
    <source>AOPWiki</source>
    <creation-timestamp>2016-11-29T18:41:24</creation-timestamp>
    <last-modification-timestamp>2018-05-28T11:36:00</last-modification-timestamp>
  </key-event>
  <key-event id="18954b30-3a3f-4593-931c-d55093b03f82">
    <title>Impairment, Learning and memory</title>
    <short-name>Impairment, Learning and memory</short-name>
    <biological-organization-level>Individual</biological-organization-level>
    <description>&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Learning can be defined as the process by which new information is acquired to establish knowledge by systematic study or by trial and error (Ono, 2009). Two types of learning are considered in neurobehavioral studies: a) associative learning and b) non-associative learning. Associative learning is based on making associations between different events. In associative learning, a subject learns the relationship among two different stimuli or between the stimulus and the subject&amp;rsquo;s behaviour. On the other hand, non-associative learning can be defined as an alteration in the behavioural response that occurs over time in response to a single type of stimulus. Habituation and sensitization are some examples of non-associative learning.&lt;/p&gt;

&lt;p&gt;The memory formation requires acquisition, retention and retrieval of information in the brain, which is characterised by the non-conscious recall of information (Ono, 2009). There are three main categories of memory, including sensory memory, short-term or working memory (up to a few hours) and long-term memory (up to several days or even much longer).&lt;/p&gt;

&lt;p&gt;Learning and memory depend upon the coordinated action of different brain regions and neurotransmitter systems constituting functionally integrated neural networks (D&amp;rsquo;Hooge and DeDeyn, 2001). Among the many brain areas engaged in the acquisition of, or retrieval of, a learned event, the hippocampal-based memory systems have received the most study. For example, the hippocampus has been shown to be critical for spatial-temporal memory, visio-spatial memory, verbal and narrative memory, and episodic and autobiographical memory (Burgess et al., 2000; Vorhees and Williams, 2014). However, there is substantial evidence that fundamental learning and memory functions are not mediated by the hippocampus alone but require a network that includes, in addition to the hippocampus, anterior thalamic nuclei, mammillary bodies cortex, cerebellum and basal ganglia (Aggleton and Brown, 1999; Doya, 2000; Mitchell et al., 2002, Toscano and Guilarte, 2005; Gilbert et al., 2006, 2016). Thus, damage to variety of brain structures can potentially lead to impairment of learning and memory. The main learning areas and pathways are similar in rodents and primates, including man (Eichenbaum, 2000; Stanton and Spear, 1990).While the prefrontal cortex and frontostriatal neuronal circuits have been identified as the primary sites of higher-order cognition in vertebrates, invertebrates utilize paired mushroom bodies, shown to contain ~300,000 neurons in honey bees (Menzel, 2012; Puig et al., 2014).&lt;/p&gt;

&lt;p&gt;For the purposes of this KE (AO), impaired learning and memory is defined as an organism&amp;rsquo;s inability to establish new associative or non-associative relationships, or sensory, short-term or long-term memories which can be measured using different behavioural tests described below.&lt;/p&gt;
</description>
    <measurement-methodology>&lt;p&gt;&lt;strong&gt;In laboratory animals:&lt;/strong&gt; in rodents, a variety of tests of learning and memory have been used to probe the integrity of hippocampal function. These include tests of spatial learning like the radial arm maze (RAM), the Barnes maze, &lt;span style="color:#3498db"&gt;Hebb-Williams maze&lt;/span&gt;, passive avoidance and Spontaneous alternation and most commonly, the Morris water maze (MWM). Test of novelty such as novel object recognition, and fear based context learning are also sensitive to hippocampal disruption. Finally, trace fear conditioning which incorporates a temporal component upon traditional amygdala-based fear learning engages the hippocampus. A brief description of these tasks follows.&lt;/p&gt;

&lt;p&gt;1) RAM, Barnes, MWM,&amp;nbsp;&lt;span style="color:#3498db"&gt;Hebb-Williams maze&amp;nbsp;&lt;/span&gt;are examples of spatial tasks, animals are required to learn the location of a food reward (RAM); an escape hole to enter a preferred dark tunnel from a brightly lit open field area (Barnes maze), or a hidden platform submerged below the surface of the water in a large tank of water (MWM) (Vorhees and Williams, 2014). The &lt;span style="color:#3498db"&gt;Hebb-Williams maze measures an animal&amp;rsquo;s problem solving abilities by providing no spatial cues to find the target (Pritchett &amp;amp; Mulder, 2004).&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;2) Novel Object recognition. This is a simpler task that can be used to probe recognition memory. Two objects are presented to animal in an open field on trial 1, and these are explored. On trial 2, one object is replaced with a novel object and time spent interacting with the novel object is taken evidence of memory retention &amp;ndash; I have seen one of these objects before, but not this one (Cohen and Stackman, 2015).&lt;/p&gt;

&lt;p&gt;3) Contextual Fear conditioning is a hippocampal based learning task in which animals are placed in a novel environment and allowed to explore for several minutes before delivery of an aversive stimulus, typically a mild foot shock. Upon reintroduction to this same environment in the future (typically 24-48 hours after original training), animals will limit their exploration, the context of this chamber being associated with an aversive event. The degree of suppression of activity after training is taken as evidence of retention, i.e., memory (Curzon et al., 2009).&lt;/p&gt;

&lt;p&gt;4) Trace fear conditioning. Standard fear conditioning paradigms require animals to make an association between a neutral conditioning stimulus (CS, a light or a tone) and an aversive stimulus (US, a footshock). The unconditioned response (CR) that is elicited upon delivery of the footshock US is freezing behavior. With repetition of CS/US delivery, the previously neutral stimulus comes to elicit the freezing response. This type of learning is dependent on the amygdala, a brain region associated with, but distinct from the hippocampus. Introducing a brief delay between presentation of the neutral CS and the aversive US, a trace period, requires the engagement of the amygdala and the hippocampus (Shors et al., 2001).&lt;/p&gt;

&lt;p&gt;&lt;span style="color:#3498db"&gt;5) Operant Responding.&amp;nbsp;Performance on operant responding reflects the cortex&amp;rsquo; ability to organize processes (Rabin et al., 2002).&amp;nbsp;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;In humans:&lt;/strong&gt;&amp;nbsp; A variety of standardized learning and memory tests have been developed for human neuropsychological testing, including children (Rohlman et al., 2008). These include episodic autobiographical memory, perceptual motor tests, short and&amp;nbsp; long term memory tests, working memory tasks, word pair recognition memory; object location recognition memory. Some have been incorporated in general tests of intelligence (IQ) such as the Wechsler Adult Intelligence Scale (WAIS) and the Wechsler. Modifications have been made and norms developed for incorporating of tests of learning and memory in children. Examples of some of these tests include:&lt;/p&gt;

&lt;p&gt;1) Rey Osterieth Complex Figure test (RCFT) which probes a variety of functions including as visuospatial abilities, memory, attention, planning, and working memory (Shin et al., 2006).&lt;/p&gt;

&lt;p&gt;2) Children&amp;rsquo;s Auditory Verbal Learning Test (CAVLT) is a free recall of presented word lists that yields measures of Immediate Memory Span, Level of Learning, Immediate Recall, Delayed Recall, Recognition Accuracy, and Total Intrusions. (Lezak 1994; Talley, 1986).&lt;/p&gt;

&lt;p&gt;3) Continuous Visual Memory Test (CVMT) measures visual learning and memory. It is a free recall of presented pictures/objects rather than words but that yields similar measures of Immediate Memory Span, Level of Learning, Immediate Recall, Delayed Recall, Recognition Accuracy, and Total Intrusions. (Lezak, 1984; 1994).&lt;/p&gt;

&lt;p&gt;4) Story Recall from Wechsler Memory Scale (WMS) Logical Memory Test Battery, a standardized neurospychological test designed to measure memory functions (Lezak, 1994; Talley, 1986).&lt;/p&gt;

&lt;p&gt;5) Autobiographical memory (AM) is the recollection of specific personal events in a multifaceted higher order cognitive process. It includes episodic memory- remembering of past events specific in time and place, in contrast to semantic autobiographical memory is the recollection of personal facts, traits, and general knowledge. Episodic AM is associated with greater activation of the hippocampus and a later and more gradual developmental trajectory. Absence of episodic memory in early life (infantile amnesia) is thought to reflect immature hippocampal function (Herold et al., 2015; Fivush, 2011).&lt;/p&gt;

&lt;p&gt;6) Staged Autobiographical Memory Task. In this version of the AM test, children participate in a staged event involving a tour of the hospital, perform a series of tasks (counting footprints in the hall, identifying objects in wall display, buy lunch, watched a video). It is designed to contain unique event happenings, place, time, visual/sensory/perceptual details. Four to five months later, interviews are conducted using Children&amp;rsquo;s Autobiographical Interview and scored according to standardized scheme (Willoughby et al., 2014).&lt;/p&gt;

&lt;p&gt;&lt;span style="color:#3498db"&gt;7)&amp;nbsp;Attentional set-shifting (ATSET) task.&amp;nbsp;Measures the ability to relearn cues over various schedules of reinforcement (Heisler et al., 2015).&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;8. Comprehensive developmental inventory for infants and toddlers (CDIIT).&amp;nbsp; The CDIIT was designed and standardized in 1996, and it measures the global, cognitive, language, motor, gross motor, fine motor, social, self-help and behavioral developmental status of children from 3 to 71 months old (Wang et al., 1998).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;In Honey Bees:&lt;/strong&gt; For over 50 years an assay for evaluating olfactory conditioning of the proboscis extension reflex (PER) has been used as a reliable method for evaluating appetitive learning and memory in honey bees (Guirfa and Sandoz, 2012; LaLone et al., 2017). These experiments pair a conditioned stimulus (e.g., an odor) with an unconditioned stimulus (e.g., sucrose) provided immediately afterward, which elicits the proboscis extension (Menzel, 2012). After conditioning, the odor alone will lead to the conditioned PER. This methodology has aided in the elucidation of five types of olfactory memory phases in honey bee, which include early short-term memory, late short-term memory, mid-term memory, early long-term memory, and late long-term memory (Guirfa and Sandoz, 2012). These phases are dependent on the type of conditioned stimulus, the intensity of the unconditioned stimulus, the number of conditioning trials, and the time between trials. Where formation of short-term memory occurs minutes after conditioning and decays within minutes, memory consolidation or stabilization of a memory trace after initial acquisition leads to mid-term memory, which lasts 1 d and is characterized by activity of the cAMP-dependent PKA (Guirfa and Sandoz, 2012). Multiple conditioning trials increase the duration of the memory after learning and coincide with increased Ca2+-calmodulin-dependent PKC activity (Guirfa and Sandoz, 2012). Early long-term memory, where a conditioned response can be evoked days to weeks after conditioning requires translation of existing mRNA, whereas late long-term memory requires de novo gene transcription and can last for weeks (Guirfa andSandoz, 2012).&amp;quot;&lt;/p&gt;
</measurement-methodology>
    <evidence-supporting-taxonomic-applicability>&lt;p&gt;Basic forms of learning behavior such as habituation have been found in many taxa from worms to humans (Alexander, 1990). More complex cognitive processes such as executive function likely reside only in higher mammalian species such as non-human primates and humans. Recently, larval zebrafish has also been suggested as a model for the study of learning and memory (Roberts et al., 2013).&lt;/p&gt;

&lt;p&gt;&lt;span style="color:#3498db"&gt;&lt;strong&gt;Life stage applicability: &lt;/strong&gt;This key event is applicable to various life stages such as during brain development and maturity (Hladik &amp;amp; Tapio, 2016).&amp;nbsp;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style="color:#3498db"&gt;&lt;strong&gt;Sex applicability:&lt;/strong&gt; This key event is not sex specific (Cekanaviciute et al., 2018), although sex-dependent cognitive outcomes have been recently ; Parihar et al., 2020).&amp;nbsp;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style="color:#3498db"&gt;&lt;strong&gt;Evidence for perturbation by a prototypic stressor: &lt;/strong&gt;Current literature provides ample evidence of impaired learning and memory being induced by ionizing radiation (Cekanaviciute et al., 2018; Hladik &amp;amp; Tapio, 2016).&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
</evidence-supporting-taxonomic-applicability>
    <applicability>
      <sex>
        <evidence>High</evidence>
        <sex>Mixed</sex>
      </sex>
      <life-stage>
        <evidence>High</evidence>
        <life-stage>During brain development</life-stage>
      </life-stage>
      <life-stage>
        <evidence>High</evidence>
        <life-stage>Adult, reproductively mature</life-stage>
      </life-stage>
      <taxonomy taxonomy-id="012805b0-a4f2-4097-b4d6-53df40dd60e6">
        <evidence>High</evidence>
      </taxonomy>
      <taxonomy taxonomy-id="9b9ef73d-a88c-433b-80be-01115fd3404e">
        <evidence>High</evidence>
      </taxonomy>
      <taxonomy taxonomy-id="a866babd-6601-4faf-9e25-0238db0a3a5c">
        <evidence>High</evidence>
      </taxonomy>
      <taxonomy taxonomy-id="dea8348c-067d-4af0-8d39-5c6080c4f393">
        <evidence>High</evidence>
      </taxonomy>
      <taxonomy taxonomy-id="675482a1-4a12-43d4-be4c-e62e94bc39f3">
        <evidence>High</evidence>
      </taxonomy>
      <taxonomy taxonomy-id="d8d5c0fb-d5d8-4701-9119-f44d1542d797">
        <evidence>High</evidence>
      </taxonomy>
    </applicability>
    <biological-events>
      <biological-event process-id="bc0fcfbe-add3-4432-8cb9-3321fe7b5302" action-id="1238bebd-5663-43c3-8674-a8b16a93176b"/>
      <biological-event process-id="45e102d5-f748-4c8a-a5ab-f2d1362b1188" action-id="1238bebd-5663-43c3-8674-a8b16a93176b"/>
    </biological-events>
    <references>&lt;p&gt;Aggleton JP, Brown MW. (1999) Episodic memory, amnesia, and the hippocampal-anterior thalamic axis. Behav Brain Sci. 22: 425-489.&lt;/p&gt;

&lt;p&gt;Alexander RD (1990) Epigenetic rules and Darwinian algorithms: The adaptive study of learning and development. Ethology and Sociobiology 11:241-303.&lt;/p&gt;

&lt;p&gt;Bellinger DC (2012) A strategy for comparing the contributions of environmental chemicals and other risk factors to neurodevelopment of children. Environ Health Perspect 120:501-507.&lt;/p&gt;

&lt;p&gt;Burgess N (2002) The hippocampus, space, and viewpoints in episodic memory. Q J Exp Psychol A 55:1057-1080. Cohen, SJ and Stackman, RW. (2015). Assessing rodent hippocampal involvement in the novel object recognition task. A review. Behav. Brain Res. 285: 105-1176.&lt;/p&gt;

&lt;p&gt;&lt;span style="color:#3498db"&gt;Cekanaviciute, E., S. Rosi and S. Costes. (2018), &amp;quot;Central Nervous System Responses to Simulated Galactic Cosmic Rays&amp;quot;, International Journal of Molecular Sciences, Vol. 19/11, Multidisciplinary Digital Publishing Institute (MDPI) AG, Basel,&amp;nbsp; https://doi.org/10.3390/ijms19113669.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;Cohen, SJ and Stackman, RW. (2015). Assessing rodent hippocampal involvement in the novel object recognition task. A review. Behav. Brain Res. 285: 105-1176.&lt;/p&gt;

&lt;p&gt;Curzon P, Rustay NR, Browman KE. Cued and Contextual Fear Conditioning for Rodents. In: Buccafusco JJ, editor. Methods of Behavior Analysis in Neuroscience. 2nd edition. Boca Raton (FL): CRC Press/Taylor &amp;amp; Francis; 2009.&lt;/p&gt;

&lt;p&gt;D&amp;#39;Hooge R, De Deyn PP (2001) Applications of the Morris water maze in the study of learning and memory. Brain Res Brain Res Rev 36:60-90.&lt;/p&gt;

&lt;p&gt;Doya K. (2000) Complementary roles of basal ganglia and cerebellum in learning and motor control. Curr Opin Neurobiol. 10: 732-739.&lt;/p&gt;

&lt;p&gt;Eichenbaum H (2000) A cortical-hippocampal system for declarative memory. Nat Rev Neurosci 1:41-50.&lt;/p&gt;

&lt;p&gt;Fivush R. The development of autobiographical memory. Annu Rev Psychol. 2011;62:559-82.&lt;/p&gt;

&lt;p&gt;Gilbert ME, Sanchez-Huerta K, Wood C (2016) Mild Thyroid Hormone Insufficiency During Development Compromises Activity-Dependent Neuroplasticity in the Hippocampus of Adult Male Rats. Endocrinology 157:774-787.&lt;/p&gt;

&lt;p&gt;Gilbert ME, Rovet J, Chen Z, Koibuchi N. (2012) Developmental thyroid hormone disruption: prevalence, environmental contaminants and neurodevelopmental consequences. Neurotoxicology 33: 842-52.&lt;/p&gt;

&lt;p&gt;Gilbert ME, Sui L (2006) Dose-dependent reductions in spatial learning and synaptic function in the dentate gyrus of adult rats following developmental thyroid hormone insufficiency. Brain Res 1069:10-22.&lt;/p&gt;

&lt;p&gt;Guirfa, M., Sandoz, J.C., 2012. Invertebrate learning and memory: fifty years of olfactory conditioning of the proboscis extension response in honeybees. Learn. Mem. 19 (2),&lt;br /&gt;
54&amp;ndash;66.&lt;/p&gt;

&lt;p&gt;Herold, C, L&amp;auml;sser, MM, Schmid, LA, Seidl, U, Kong, L, Fellhauer, I, Thomann,PA, Essig, M and Schr&amp;ouml;der, J. (2015). Neuropsychology, Autobiographical Memory, and Hippocampal Volume in &amp;ldquo;Younger&amp;rdquo; and &amp;ldquo;Older&amp;rdquo; Patients with Chronic Schizophrenia. Front. Psychiatry, 6: 53.&lt;/p&gt;

&lt;p&gt;&lt;span style="color:#3498db"&gt;Hladik, D. and S. Tapio. (2016), &amp;quot;Effects of ionizing radiation on the mammalian brain&amp;quot;, Mutation Research/Reviews in Mutation Research, Vol. 770, Elsevier B. b., Amsterdam, https://doi.org/10.1016/j.mrrev.2016.08.003.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style="color:#3498db"&gt;Heisler, J. M. et al. (2015), &amp;quot;The Attentional Set Shifting Task: A Measure of Cognitive Flexibility in Mice&amp;quot;, Journal of Visualized Experiments, 96, JoVe, Cambridge, https://doi.org/10.3791/51944.&amp;nbsp;Heisler, J. M. et al. (2015), &amp;quot;The Attentional Set Shifting Task: A Measure of Cognitive Flexibility in Mice&amp;quot;, Journal of Visualized Experiments, 96, JoVe, Cambridge, https://doi.org/10.3791/51944.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;LaLone, C.A., Villeneuve, D.L., Wu-Smart, J., Milsk, R.Y., Sappington, K., Garber, K.V., Housenger, J. and Ankley, G.T., 2017. Weight of evidence evaluation of a network of adverse outcome pathways linking activation of the nicotinic acetylcholine receptor in honey bees to colony death.&lt;em&gt; &lt;/em&gt;STOTEN. 584-585, 751-775.&lt;/p&gt;

&lt;p&gt;Lezak MD (1984) Neuropsychological assessment in behavioral toxicology--developing techniques and interpretative issues. Scand J Work Environ Health 10 Suppl 1:25-29.&lt;/p&gt;

&lt;p&gt;Lezak MD (1994) Domains of behavior from a neuropsychological perspective: the whole story. Nebr Symp Motiv 41:23-55.&lt;/p&gt;

&lt;p&gt;Makris SL, Raffaele K, Allen S, Bowers WJ, Hass U, Alleva E, Calamandrei G, Sheets L, Amcoff P, Delrue N, Crofton KM.(2009) A retrospective performance assessment of the developmental neurotoxicity study in support of OECD test guideline 426. Environ Health Perspect.&amp;nbsp; Jan;117(1):17-25.&lt;/p&gt;

&lt;p&gt;Menzel, R., 2012. The honeybee as a model for understanding the basis of cognition. Nat. Rev. Neurosci. 13 (11), 758&amp;ndash;768.&lt;/p&gt;

&lt;p&gt;Mitchell AS, Dalrymple-Alford JC, Christie MA. (2002) Spatial working memory and the brainstem cholinergic innervation to the anterior thalamus. J Neurosci. 22: 1922-1928.&lt;/p&gt;

&lt;p&gt;OECD. 2007. OECD guidelines for the testing of chemicals/ section 4: Health effects. Test no. 426: Developmental neurotoxicity study. www.Oecd.Org/dataoecd/20/52/37622194.Pdf [accessed may 21, 2012].&lt;/p&gt;

&lt;p&gt;OECD (2008) Nr 43 GUIDANCE DOCUMENT ON MAMMALIAN REPRODUCTIVE TOXICITY TESTING AND ASSESSMENT. ENV/JM/MONO(2008)16&lt;/p&gt;

&lt;p&gt;Ono T. (2009) Learning and Memory. Encyclopedia of neuroscience. M D. Binder, N. Hirokawa and U. Windhorst (Eds). Springer-Verlag GmbH Berlin Heidelberg. pp 2129-2137.&lt;/p&gt;

&lt;p&gt;&lt;span style="color:#3498db"&gt;Parihar, V. K. et al. (2020), &amp;quot;Sex-Specific Cognitive Deficits Following Space Radiation Exposure&amp;quot;, Frontiers in Behavioral Neuroscience, Vol. 14, https://doi.org/10.3389/fnbeh.2020.535885.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style="color:#3498db"&gt;Pritchett, K. and G. Mulder. (2004), &amp;quot;Hebb-Williams mazes.&amp;quot;, Contemporary topics in laboratory animal science, Vol. 43/5, http://www.ncbi.nlm.nih.gov/pubmed/15461441.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;Puig, M.V., Antzoulatos, E.G., Miller, E.K., 2014. Prefrontal dopamine in associative learning and memory. Neuroscience 282, 217&amp;ndash;229.&lt;/p&gt;

&lt;p&gt;&lt;span style="color:#3498db"&gt;Rabin, B. M. et al. (2002), &amp;quot;Effects of Exposure to 56Fe Particles or Protons on Fixed-ratio Operant Responding in Rats&amp;quot;, Journal of Radiation Research, Vol. 43/S, https://doi.org/10.1269/jrr.43.S225.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;Roberts AC, Bill BR, Glanzman DL. (2013) Learning and memory in zebrafish larvae. Front Neural Circuits 7: 126.&lt;/p&gt;

&lt;p&gt;Rohlman DS, Lucchini R, Anger WK, Bellinger DC, van Thriel C. (2008) Neurobehavioral testing in human risk assessment. Neurotoxicology. 29: 556-567.&lt;/p&gt;

&lt;p&gt;Shin, MS, Park, SY, Park, SR, Oeol, SH and Kwon, JS. (2006). Clinical and empirical applications of the Rey-Osterieth complex figure test. Nature Protocols, 1: 892-899.&lt;/p&gt;

&lt;p&gt;Shors TJ, Miesegaes G, Beylin A, Zhao M, Rydel T, Gould E (2001) Neurogenesis in the adult is involved in the formation of trace memories. Nature 410:372-376.&lt;/p&gt;

&lt;p&gt;Stanton ME, Spear LP (1990) Workshop on the qualitative and quantitative comparability of human and animal developmental neurotoxicity, Work Group I report: comparability of measures of developmental neurotoxicity in humans and laboratory animals. Neurotoxicol Teratol 12:261-267.&lt;/p&gt;

&lt;p&gt;Talley, JL. (1986). Memory in learning disabled children: Digit span and eh Rey Auditory verbal learning test. Archives of Clinical Neuropsychology, Elseiver.&lt;/p&gt;

&lt;div&gt;
&lt;div&gt;T.M. Wang, C.W. Su, H.F. Liao, L.Y. Lin, K.S. Chou, S.H. Lin The standardization of the comprehensive developmental inventory for infants and toddlers Psychol. Test., 45 (1998), pp. 19-46&lt;/div&gt;

&lt;div&gt;&amp;nbsp;&lt;/div&gt;

&lt;div&gt;Toscano CD, Guilarte TR. (2005) Lead neurotoxicity: From exposure to molecular effects. Brain Res Rev. 49: 529-554.&lt;/div&gt;
&lt;/div&gt;

&lt;p&gt;U.S.EPA. 1998. Health effects guidelines OPPTS 870.6300 developmental neurotoxicity study. EPA Document 712-C-98-239.Office of Prevention Pesticides and Toxic Substances.&lt;/p&gt;

&lt;p&gt;Vorhees CV, Williams MT (2014) Assessing spatial learning and memory in rodents. ILAR J 55:310-332.&lt;/p&gt;

&lt;div&gt;
&lt;div&gt;Willoughby KA, McAndrews MP, Rovet JF. Accuracy of episodic autobiographical memory in children with early thyroid hormone deficiency using a staged event. Dev Cogn Neurosci. 2014 Jul;9:1-11.&lt;/div&gt;
&lt;/div&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;
</references>
    <source>AOPWiki</source>
    <creation-timestamp>2016-11-29T18:41:24</creation-timestamp>
    <last-modification-timestamp>2023-06-26T12:44:45</last-modification-timestamp>
  </key-event>
  <key-event id="77a706ba-774d-498a-a0c2-015908b35310">
    <title>Abnormal, Roll change within caste</title>
    <short-name>Abnormal, Roll change within caste</short-name>
    <biological-organization-level>Population</biological-organization-level>
    <description></description>
    <measurement-methodology></measurement-methodology>
    <evidence-supporting-taxonomic-applicability></evidence-supporting-taxonomic-applicability>
    <applicability>
    </applicability>
    <references></references>
    <source>AOPWiki</source>
    <creation-timestamp>2016-11-29T18:41:25</creation-timestamp>
    <last-modification-timestamp>2016-12-03T16:37:50</last-modification-timestamp>
  </key-event>
  <key-event id="db820d49-b561-480e-988e-3b1ed5cd44fd">
    <title>Reduced, Brood care</title>
    <short-name>Reduced, Brood care</short-name>
    <biological-organization-level>Population</biological-organization-level>
    <description></description>
    <measurement-methodology></measurement-methodology>
    <evidence-supporting-taxonomic-applicability></evidence-supporting-taxonomic-applicability>
    <applicability>
    </applicability>
    <biological-events>
      <biological-event process-id="50ee8486-5f9f-4c80-b7b4-4aaf7ffe0bbc" action-id="1238bebd-5663-43c3-8674-a8b16a93176b"/>
      <biological-event process-id="c428f9d5-83cf-4018-a26e-55b7f460afcd" action-id="1238bebd-5663-43c3-8674-a8b16a93176b"/>
    </biological-events>
    <references></references>
    <source>AOPWiki</source>
    <creation-timestamp>2016-11-29T18:41:25</creation-timestamp>
    <last-modification-timestamp>2016-12-03T16:37:50</last-modification-timestamp>
  </key-event>
  <key-event id="f9d533c6-dbb2-428b-8eba-5be4b46eaf2e">
    <title>impaired, Larval development</title>
    <short-name>impaired, Larval development</short-name>
    <biological-organization-level>Population</biological-organization-level>
    <description></description>
    <measurement-methodology></measurement-methodology>
    <evidence-supporting-taxonomic-applicability></evidence-supporting-taxonomic-applicability>
    <applicability>
    </applicability>
    <biological-events>
      <biological-event process-id="4cfd5b2b-70c2-4f9e-a108-4a701172f25b" action-id="740a505f-97dc-411f-b04a-22e67559f562"/>
    </biological-events>
    <references></references>
    <source>AOPWiki</source>
    <creation-timestamp>2016-11-29T18:41:25</creation-timestamp>
    <last-modification-timestamp>2016-12-03T16:37:50</last-modification-timestamp>
  </key-event>
  <key-event id="4e9fd8a9-c932-4c70-9ffe-7aa5396fe9f0">
    <title>Death/Failure, Colony</title>
    <short-name>Death/Failure, Colony</short-name>
    <biological-organization-level>Population</biological-organization-level>
    <description>&lt;p&gt;Text from LaLone et al. (2017) Weight of evidence evaluation of a network of adverse outcome pathways linking activaiton of the nicotinic acetylcholine receptor in honey bees to colony death. &lt;em&gt;Science of the Total Environment&lt;/em&gt; 584-585, 751-775:&lt;/p&gt;

&lt;p&gt;&amp;quot;Colony death/failure is defined as demise of a functional colony. Dramatic losses in the number of managed honey bee colonies have been reported across the globe (Potts et al., 2010) and efforts have been undertaken to survey and identify trends in losses over time, particularly in the US and European Union. Most recent survey results collected in the US have shown that managed honey bee colony losses are significantly higher than those deemed acceptable by beekeepers (Seitz et al., 2015). From surveying commercial (&amp;gt;300 colonies), sideline (25&amp;ndash;300 colonies), and small scale &amp;lt;25 colonies) beekeepers, average annual colony losses (both&lt;br /&gt;
summer and winter losses) per operation in the US during 2014&amp;ndash;2015 were 49%, compared to 18.7% that has been identified by beekeepers as an acceptable loss rate (Seitz et al., 2015). Starvation, poor over-winter survival, and weak colonies, were among the most common perceived causes of loss reported by bee keepers (Seitz et al., 2015). Commercial beekeepers, managing thousands of colonies, self-reported colony collapse disorder and pesticides as third and fourth leading reasons for colony loss, respectively (Seitz et al., 2015).&amp;quot;&lt;/p&gt;
</description>
    <measurement-methodology></measurement-methodology>
    <evidence-supporting-taxonomic-applicability></evidence-supporting-taxonomic-applicability>
    <applicability>
    </applicability>
    <biological-events>
      <biological-event process-id="446ad0e4-4f31-4597-a033-1f00daf76596" action-id="062a9243-bd6f-4803-b043-8038dc9c5e07"/>
    </biological-events>
    <references>&lt;p&gt;LaLone, C.A., Villeneuve, D.L., Wu-Smart, J., Milsk, R.Y., Sappington, K., Garber, K.V., Housenger, J. and Ankley, G.T., 2017. Weight of evidence evaluation of a network of adverse outcome pathways linking activation of the nicotinic acetylcholine receptor in honey bees to colony death.&lt;em&gt; &lt;/em&gt;STOTEN. 584-585, 751-775.&lt;/p&gt;

&lt;p&gt;Potts, S.G., Biesmeijer, J.C., Kremen, C., Neumann, P., Schweiger, O., Kunin, W.E., 2010.&lt;br /&gt;
Global pollinator declines: trends, impacts and drivers. Trends Ecol. Evol. 25 (6),&lt;br /&gt;
345&amp;ndash;353.&lt;/p&gt;

&lt;p&gt;Seitz, N., Traynor, K.S., Steinhauer, N., Rennich, K., Wilson, M.E., Ellis, D., Rose, R., Tarpy,&lt;br /&gt;
D.R., Sagili, R.R., Caron, D.M., Delaplane, K.S., Rangel, J., Lee, K., Baylis, K., Wilkes, J.T.,&lt;br /&gt;
Skinner, J.A., Pettis, J.S., vanEngelsdorp, D., 2015. A national survey of managed&lt;br /&gt;
honey bee 2014&amp;ndash;2015 annual colony losses in the USA. J. Apic. Res. 54 (4), 1&amp;ndash;12.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;
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    <description>&lt;p&gt;Learning and memory is one of the outcomes of the functional expression of neurons and neural networks from mammalian to invertebrates. Damage or destruction of neurons by chemical compounds during development when they are in the process of synapses formation, integration and formation of neural networks, will derange the organization and function of these networks, thereby setting the stage for subsequent impairment of learning and memory. Exposure to the potential developmental toxicants during neuronal differentiation and synaptogenesis will increase risk of functional neuronal network damage leading to learning and memory impairment.&lt;/p&gt;

&lt;p&gt;Impairments in learning and memory are measured using behavioral techniques. It is well accepted that these alterations in behavior are the result of structural or functional changes in neurocircuitry. Functional impairments are often measured using field potentials of critical synaptic circuits in hippocampus and cortex. A number of studies have been performed in rodent models that reveal deficits in both excitatory and inhibitory synaptic transmission in the hippocampus as a result of developmental thyroid insufficiency (Wang et al., 2012; Oerbeck et al., 2003; Wheeler et al., 2011; Wheeler et al., 2015; Willoughby et al., 2014; Davenport and Dorcey, 1972; Tamasy et al., 1986; Akaike, 1991; Axelstad et al., 2008; Gilbert and Sui, 2006; Gilbert et al., 2016; Gilbert, 2011; Gilbert et al., 2016). A well-established functional readout of memory at the synaptic level is known as long-term potentiation (LTP) (i.e., a persistent strengthening of synapses based on recent patterns of activity). Deficiencies in LTP are generally regarded as potential substrates of learning and memory impairments. In rodent models where synaptic function is impaired by TH deficiencies, deficits in hippocampus-mediated memory are also prevalent (Gilbert and Sui, 2006; Gilbert et al., 2016; Gilbert, 2011; Gilbert et al., 2016).&lt;/p&gt;
</description>
    <evidence-collection-strategy/>
    <weight-of-evidence>
      <value>&lt;p&gt;A number of studies have consistently reported alterations in synaptic transmission resulting from developmental TH disruption, and leading to decreased cognition.&lt;/p&gt;
</value>
      <biological-plausibility>&lt;p&gt;Long-term potentiation (LTP) is a long-lasting increase in synaptic efficacy and its discovery suggested that changes in synaptic strength could provide the substrate for learning and memory (reviewed in Lynch, 2004). Moreover, LTP is intimately related to the theta rhythm, an oscillation long associated with learning. Learning-induced enhancement in neuronal excitability, a measurement of neural network function, has also been shown in hippocampal neurons following classical conditioning in several experimental approaches (reviewed in Saar and Barkai, 2003).&lt;/p&gt;

&lt;p&gt;On the other hand, memory requires the increase in magnitude o&lt;span style="font-size:16px"&gt;&lt;span style="font-family:Arial,Helvetica,sans-serif"&gt;f excitatory postsynaptic currents (&lt;/span&gt;&lt;/span&gt;EPSCs) to be developed quickly and to be persistent for few weeks at least without disturbing already potentiated contacts. Once again, a substantial body of evidence has demonstrated that tight connection between LTP and diverse instances of memory exist (reviewed in Lynch, 2004).&lt;/p&gt;

&lt;p&gt;A review on Morris water maze (MWM) as a tool to investigate spatial learning and memory in laboratory rats also pointed out that the disconnection between neuronal networks rather than the brain damage of certain regions is responsible for the impairment of MWM performance. Functional integrated neural networks that involve the coordination action of different brain regions are consequently important for spatial learning and MWM performance&lt;strong&gt; &lt;/strong&gt;&lt;span style="font-size:12px"&gt;(D&amp;#39;Hooge and De Deyn, 2001).&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;Moreover, it is well accepted that alterations in synaptic transmission and plasticity contribute to deficits in cognitive function. There are a number of studies that have linked exposure to TPO inhibitors (e.g., PTU, MMI), as well as iodine deficient diets, to changes in serum TH levels, which result in alterations in both synaptic function and cognitive behaviors (Akaike et al., 1991; Vara et al., 2002; Gilbert and Sui, 2006; Axelstad et al., 2008; Taylor et al., 2008; Gilbert, 2011; Gilbert et al., 2016), described in the indirect KER &amp;quot;Decrease of TH synthesis leads to learning and memory deficits&amp;quot;.&lt;/p&gt;
</biological-plausibility>
      <emperical-support-linkage>&lt;p style="text-align:justify"&gt;Developmental hypothyroidism reduces the functional integrity in brain regions critical for learning and memory. Neurophysiological indices of synaptic transmission of excitatory and inhibitory circuitry are impaired in the hippocampus of hypothyroid animals. Both hippocampal regions (area CA1 and dentate gyrus) exhibit alterations in excitatory and inhibitory synaptic transmission following reductions in serum TH in the pre and early postnatal period (Vara et al., 2002; Sui and Gilbert, 2003; Sui et al., 2005; Gilbert and Sui, 2006; Taylor et al., 2008; Gilbert, 2011; Gilbert et al., 2016). These alterations persist into adulthood despite a recovery to euthyroid conditions in blood. The latter observation indicates that these alterations represent permanent changes in brain function caused by transient hormones insufficiencies induced during critical window of development. &amp;nbsp;&lt;/p&gt;

&lt;p style="text-align:justify"&gt;Because the adult hippocampus is involved in learning and memory, it is a brain region of remarkable plasticity. Use-dependent synaptic plasticity is critical during brain development for synaptogenesis and fine tuning of synaptic connectivity. In the adult brain, similar plasticity mechanisms underlie use-dependency that underlies learning and memory, as exhibited in LTP model of synaptic memory. Hypothyroidism during development reduces the capacity for synaptic plasticity in juvenile and adult offspring (Vara et al., 2002; Sui and Gilbert, 2003; Dong et al., 2005; Sui et al., 2005; Gilbert and Sui, 2006; Taylor et al., 2008; Gilbert, 2011; Gilbert et al., 2016). Decrease of neuronal network function and plasticity are observed coincident with deficits in learning tasks that require the hippocampus.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Wang et al., 2012: &lt;/strong&gt;This study showed that maternal subclinical hypothyroidism impairs spatial learning in the offspring, as well as the efficacy and optimal time of T4 treatment in pregnancy. Female adult Wistar rats were randomly divided into six groups: control, hypothyroid (H), subclinical hypothyroid (SCH) and SCH treated with T4, starting from GD10, GD13 and GD17, respectively, to restore normal TH levels. Results indicate that progenies of SCH and H groups demonstrated significantly longer mean latency in the water maze test (on the 2&lt;sup&gt;nd&lt;/sup&gt; training day, latency was ~83% higher in H group, and ~50% higher in SCH), and a lower amplification percentage of the amplitude (~15% lower in H group, and 12% lower in SCH), and slope of the field excitatory postsynaptic potential (fEPSP) recording (~20% lower in H group, and 17% lower in SCH), compared to control group. T4 treatment at GD10 and GD13 significantly shortened mean latency and increased the amplification percentage of the amplitude and slope of the fEPSPs of the progeny of rats with subclinical hypothyroidism. However, T4 treatment at GD17 showed only minimal effects on spatial learning in the offspring. Altogether these data indicate direct correlation between decrease of neural network function and learning and memory deficits.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Liu et al., 2010 &lt;/strong&gt;This study assessed the effects of hypothyroidism in 60 female rats who were divided into three groups: (i) maternal subclinical hypothyroidism (total thyroidectomy with T4 infusion), (ii) maternal hypothyroidism (total thyroidectomy without T4 infusion), and (iii) control (sham operated). The Morris water maze tests revealed that pups from the subclinical hypothyroidism group showed long-term memory deficits, and a trend toward short-term memory deficits.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Gilbert and Sui, 2006 &lt;/strong&gt;Administration of 3 or 10 ppm PTU to pregnant and lactating dams via the drinking water from GD6 until PND30 caused a 47% and 65% reduction in serum T4, in the dams of the low and high-dose groups, respectively. Baseline synaptic transmission was impaired in PTU-exposed animals: mean EPSP slope (by ~60% with 10 ppm PTU) and population spike amplitudes (by ~70% with 10 ppm PTU) in the dentate gyrus were reduced in a dose-dependent manner in adult offspring of PTU-treated dams. High-dose animals (10 ppm) demonstrated very little evidence of learning despite 16 consecutive days of training (~5-fold higher mean latency to find the hidden platform, used as an index of learning).&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Gilbert et al., 2016&lt;/strong&gt; Exposure to PTU during development produced dose-dependent reductions in mRNA expression of nerve growth factor (Ngf) in whole hippocampus of neonates. These changes in basal expression persisted to adulthood despite the return to euthyroid conditions in blood. Developmental PTU treatment dramatically reduced the activity-dependent expression of neurotrophins and related genes in neonate hippocampus and was accompanied by deficits in hippocampal-based learning (e.g., mean latency to find a hidden platform, at 2&lt;sup&gt;nd&lt;/sup&gt; trial resulted ~60% higher in rats treated with 10 ppm PTU).&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Gilbert, 2011&lt;/strong&gt; Trace fear conditioning deficits to context and to cue reported in animals treated with PTU and who also displayed synaptic transmission and LTP deficits in hippocampus. Baseline synaptic transmission was impaired in PTU-exposed animals (by ~50% in animal treated with 3 ppm PTU). EPSP slope amplitudes in the dentate gyrus were reduced in a dose-dependent manner in adult offspring of PTU-treated dams.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="text-align:justify"&gt;BPA, an environmental toxicant known to inhibit NIS-mediated iodide uptake (Wu Y et al., 2016) has been found to cause learning and memory deficits in rodents as described below:&lt;/p&gt;

&lt;p style="text-align:justify"&gt;- &lt;strong&gt;Jang et al., 2012&lt;/strong&gt; In this study, pregnant female C57BL/6 mice (F0) were exposed to BPA (0.1-10 mg/kg) from gestation day 6 to 17, and female offspring (F2) from F1 generation mice were analysed. Exposure of F0 mice to BPA (10 mg/kg) decreased hippocampal neurogenesis (~ 30% decrease of hippocampal BrdU&lt;sup&gt;+&lt;/sup&gt; cells vs control) in F2 female mice. High-dose BPA (10 mg/kg) caused neurocognitive deficit (i.e., reduced memory retention) as shown by passive avoidance testing (~ 33% decrease vs control) in F2 mice. Furthermore, 10 mg/kg BPA decreased the hippocampal levels of BDNF (~ 35% lower vs control) in F2 mice. These results suggest that BPA exposure (NIS inhibitor) in pregnant mothers could decrease hippocampal neurogenesis (decreased number of neurons) and cognitive function in future generations.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;u&gt;In humans&lt;/u&gt;, the data linking these two specific KE are much more limited, but certainly clear reductions in IQ, with specific impairments in hippocampus-mediated functions have been observed.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Wheeler et al., 2015&lt;/strong&gt; This study assessed hippocampal functioning in adolescents with congenital hypothyroidism (CH), using functional magnetic resonance imaging (fMRI). 14 adolescents with CH and 14 typically developing controls (TDC) were studied. Hippocampal activation was greater for pairs than items in both groups, but this difference was only significant in TDC. When the groups were directly compared, the right anterior hippocampus was the primary region in which the TDC and CH groups differed for this pair memory effect. Results signify that adolescents with CH show abnormal hippocampal functioning during verbal memory processing, in order to compensate for the effects induced by TH deficit in the brain.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Wheeler et al., 2012&lt;/strong&gt; In this study hippocampal neuronal network function was measured based on synaptic performance using fMRI and was altered while subjects engaged in a memory task. Data showed paired word recognition deficits in adolescents with congenital hypothyroidism (N = 14; age range, 11.5-14.7 years) compared with controls (N = 15; age range, 11.2-15.5 years), with no impairment on simple word lists. Analysis of functional magnetic resonance imaging showed that adolescents with congenital hypothyroidism had both increased magnitude of hippocampal activation relative to controls and bilateral hippocampal activation when only the left was observed in controls. Furthermore, the increased activation in the congenital hypothyroidism group was correlated with the severity of the hypothyroidism experienced early in life.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Willoughby et al., 2013&lt;/strong&gt; Analogously, in this study, fMRI revealed increased hippocampus activation with word pair recognition task in CH and children born to women with hypothyroxinemia during midgestation. These differences in functional activation were not seen with single word recognition, but were revealed when retention of word pair associations was probed. The latter is a task requiring engagement of the hippocampus.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;A series of important findings suggest that the biochemical changes that happen after induction of LTP also occur during memory acquisition, showing temporality between the two KEs (reviewed in Lynch, 2004).&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Morris et al., 1986&lt;/strong&gt; This study found that blocking the NMDA receptor of the neuronal network with AP5 inhibits spatial learning in rats. Most importantly, in the same study they measured brain electrical activity and recorded that this agent also inhibits LTP, however, they have not proven that spatial learning and LTP inhibition are causally related.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;Since then a number of NMDA receptor antagonists have been studied towards their ability to induce impairment of learning and memory. It is worth mentioning that similar findings have been found in human subjects:&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Grunwald et al., 1999&lt;/strong&gt; By combining behavioural and electrophysiological data from patients with temporal lobe epilepsy exposed to ketamine, involvement of NMDA receptors in human memory processes was demonstrated.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="text-align:justify"&gt;The last KE preceding the AO (learning and memory deficits), i.e. &amp;quot;Decreased Neural Network Function&amp;quot;, is also common to the AOP 13, entitled &amp;quot;Chronic binding of antagonist to N-methyl-D-aspartate receptors (NMDARs) during brain development induces impairment of learning and memory abilities&amp;quot; (&lt;a href="https://aopwiki.org/aops/13"&gt;https://aopwiki.org/aops/13&lt;/a&gt;). In this AOP 13, data on lead (Pb) exposure as reference chemical are reported. While these studies do not refer to TH disruption, they provide empirical support for the same KER described in the present AOP.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Pb2+:&lt;/strong&gt; Exposure to low levels of Pb2+, during early development, has been implicated in long-lasting behavioural abnormalities and cognitive deficits in children (Needleman et al., 1975; Needleman and Gatsonis, 1990; Bellinger et al., 1991; 1992; Baghurst et al., 1992; Leviton et al., 1993; Needleman et al., 1996; Finkelstein et al., 1998; Lanphear et al., 2000; 2005; Canfield et al., 2003; Bellinger 2004; Lanphear et al., 2005; Surkan et al., 2007; Jusko et al., 2008; Neal and Guilarte, 2010) and experimental animals (Brockel and Cory-Slechta, 1998; Murphy and Regan, 1999; Moreira et al., 2001). Multiple lines of evidence suggest that Pb2+ can impair hippocampus-mediated learning in animal models (reviewed in Toscano and Guilarte, 2005).&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Jett et al., 1997&lt;/strong&gt; Female rats exposed to Pb&lt;sup&gt;2+&lt;/sup&gt; through gestation and lactation have shown more severe impairment of memory than male rats with similar Pb&lt;sup&gt;2+&lt;/sup&gt; exposures.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- De Souza Lisboa et al., 2005&lt;/strong&gt; This study reported that exposure to Pb&lt;sup&gt;2+ &lt;/sup&gt;during both pregnancy and lactation caused depressive-like behaviour (detected in the forced swimming test) in female but not male rats.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Anderson et al., 2012&lt;/strong&gt; This study investigated the neurobehavioral outcomes in Pb&lt;sup&gt;2+&lt;/sup&gt;-exposed rats (250, 750 and 1500 ppm Pb&lt;sup&gt;2+&lt;/sup&gt; acetate in food) during gestation and through weaning and demonstrated that these outcomes are very much influenced by sex and rearing environment. In females, Pb&lt;sup&gt;2+&lt;/sup&gt; exposure lessened some of the benefits of enriched environment on learning, whereas, in males, enrichment does help to overcome detrimental effects of Pb&lt;sup&gt;2+&lt;/sup&gt; on learning. Regarding reference memory, environmental enrichment has not been beneficial in females when exposure to Pb&lt;sup&gt;2+&lt;/sup&gt; occurs, in contrast to males.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Jaako-Movits et al., 2005&lt;/strong&gt; Wistar rat pups were exposed to 0.2% Pb&lt;sup&gt;2+&lt;/sup&gt; via their dams&amp;#39; drinking water from PND 1 to PND 21 and directly via drinking water from weaning until PND 30. At PND 60 and 80, the neurobehavioural assessment has revealed that developmental Pb&lt;sup&gt;2+&lt;/sup&gt; exposure induces persistent increase in the level of anxiety and inhibition of contextual fear conditioning. The same behavioural syndrome in rats has been described in Salinas and Huff, 2002.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Finkelstein et al., 1998&lt;/strong&gt; These observations are in agreement with observations on humans, as children exposed to low levels of Pb&lt;sup&gt;2+&lt;/sup&gt; displayed attention deficit, increased emotional reactivity and impaired memory and learning.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Kumar and Desiraju, 1992&lt;/strong&gt; In Wistar rats fed with lead acetate (400 &amp;micro;g/g body weight/day) from PND 2 until PND 60, EEG findings showed statistically significant reduction in the delta, theta, alpha and beta band EEG spectral power in motor cortex and hippocampus, but not in delta and beta bands power of motor cortex in wakeful state. After 40 days of recovery, animals were assessed for their neurobehaviour, and revealed that Pb&lt;sup&gt;2+&lt;/sup&gt; treated animals showed more time and sessions in attaining criterion of learning than controls.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;Further data obtained using animal behavioral techniques demonstrate that NMDA mediated synaptic transmission is decreased by Pb&lt;sup&gt;2+&lt;/sup&gt; exposure (Cory-Slechta, 1995; Cohn and Cory-Slechta, 1993 and 1994).&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;- Xiao et al., 2014&lt;/strong&gt; Rat pups from parents exposed to 2 mM PbCl&lt;sub&gt;2&lt;/sub&gt; three weeks before mating until their weaning (pre-weaning Pb&lt;sup&gt;2+&lt;/sup&gt;) and weaned pups exposed to 2 mM PbCl&lt;sub&gt;2 &lt;/sub&gt;for nine weeks (post-weaning Pb&lt;sup&gt;2+&lt;/sup&gt;) were assessed for their spatial learning and memory by MWM on PND 85-90. The study revealed that both rat pups in pre-weaning Pb&lt;sup&gt;2+&lt;/sup&gt; and post-weaning Pb&lt;sup&gt;2+&lt;/sup&gt; groups performed significantly worse than those in the control group. The number of synapses in pre-weaning Pb&lt;sup&gt;2+&lt;/sup&gt; group increased significantly, but it was still less than that of control group. The number of synapses in post-weaning Pb&lt;sup&gt;2+&lt;/sup&gt; group was also less than that of control group, although the number of synapses had no differences between post-weaning Pb&lt;sup&gt;2+&lt;/sup&gt; and control groups before MWM. In both pre-weaning Pb&lt;sup&gt;2+&lt;/sup&gt; and post-weaning Pb&lt;sup&gt;2+&lt;/sup&gt; groups, synaptic structural parameters such as thickness of postsynaptic density (PSD), length of synaptic active zone and synaptic curvature increased, whereas width of synaptic cleft decreased compared to controls.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;The last KE preceding the AO (learning and memory deficits), i.e. &amp;quot;Decreased Neural Network Function&amp;quot;, is also common to the AOP 17, entitled &amp;quot;&lt;/strong&gt;&lt;strong&gt; Binding of electrophilic chemicals to SH(thiol)-group of proteins and /or to seleno-proteins during brain development leads to impairment of learning and memory&amp;quot; (&lt;/strong&gt;&lt;a href="https://aopwiki.org/aops/13"&gt;&lt;strong&gt;https://aopwiki.org/aops/17&lt;/strong&gt;&lt;/a&gt;&lt;strong&gt;). In this AOP 17, data on mercury exposure as reference chemical are reported. While these studies do not refer to TH disruption, they provide empirical support for the same KER described in the present AOP.&lt;/strong&gt;&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Sokolowski et al. 2013&lt;/strong&gt;. Rats at postnatal day 7 received a single injection of methylmercury (0.6 microgr/g, that caused caspase activation in the hilus of granule cell layer in hippocampus. At PD 21, a decrease in cell number or 22% in hilus and of 27% in granule cell layer, as well as a decreased proliferation of neural precursor cells of 25% were observed. This was associated with a decrease of spatial memory as assessed by Morris water maze.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Eddins et al., 2008&lt;/strong&gt;. Mice exposed during postnatal week 1-3 to 2-5 mg/kg mercury chloride in 0.01 ml/g of NaCl injectd s.c. The behavioral tests at 3 months of age revealed learning deficits (radial maze), which was associated with increased levels of monoamines in frontal cortex.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Zanoli et al., 1994.&lt;/strong&gt; Single injection of methylmercury (8 mg/kg by gavage) at gestational day 15. Offsprings analyzed at 14, 21, and 60 days of age exhibited a decrease in the number of muscarinic receptors at 14 and 21 days and a decrease in avoidance latency at 60 days, indicating learning and memory deficits.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Zanoli et al., 2001.&lt;/strong&gt; Single injection of methylmercury (8 mg/kg) at gestational day 8. Brain was removed at PD 21 and 60. An&amp;nbsp; increase in tryptophan level in hippocampus was detected at both days. At PD 21, a decrease in anthranilic acid and an increase in quinolinic acid was found. No change in glutamic acid nor in aspartic acid were detected.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Montgomery et al., 2008.&lt;/strong&gt; C57/B6 mice exposed during pregnancy (GD 8-18) with food containing methylmercury (0.01 mg/kg body wheight). Tested when adult, they showed deficits in motor function, coordination, overall activity and impairment in reference memory.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Glover et al., 2009.&lt;/strong&gt; Balb mice exposed to methylmercury in diet (low dose: 1.5 mg/kg; high dose: 4.5 mg/kg) during 11 weeks (6 weeks prior mating, 3 weeks during gestation and 2 weeks post-partum). Offsprings tested at PD 15 showed an accumulation of Hg in brain (0.08 mg/kg for low dose and 0.25 mg/kg for the high dose). At hte cellular level, there was alterations in gene expression for cytoskeleton, cell processes, cell adhesion, cell differentiation, development), which could be all involved in cellular network formation. This was associated with behavioral impairment, i.e. a decrease in exploratory activity measured in open field.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Onishchenko et al., 2007&lt;/strong&gt;. Pregnant mice received 0.5 mg methylmercury/kg/day in drinking water from gestational dy 7 until day 7 after delivery. Offspring behavior was monitored at 5-15 and 26-36 weeks of age. Mercury-induced alterations in reference memory were detected.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Cagiano et al., 1990.&lt;/strong&gt; Pregnant rat received at GD 15 8mg/kg of methylmercury by gavage. Offsprings were tested at day 16, 21 and 60. A reduced functional activity of glutamatergic system associated with disturbances in learning and memory were observed.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Rice, 1992.&lt;/strong&gt; Female monkeys exposed to 10, 25 and 50 microg/kg/day to methylmercury. Male unexposed. Infants separated from mother at birth and exposed to similar doses did not show gross intellectual impairment, but interferences with temporal discrimination.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Sahin et al., 2016.&lt;/strong&gt; Exposure of rat pups for 5 weeks or 5 months with mercury chloride (4.6 microg/kg as first injection, followed each day by 0.07 microg/kg/day). Learning and memory impairment measured by passive avoidance and Morris-water-maze was found in 5-weeks group, but not in the 5-month group. This was accompanied by hearing loss.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;In humans:&lt;/strong&gt;&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Orenstein et al., 2014. &lt;/strong&gt;Maternal peripartum hair mercury level was measured to assess prenatal mercury exposure. The concentrations of mercury was found in the range of 0.3-5.1 microg/g, similar to fish eating population in US. However, statistical analyses revealed that each microg/g increase in hair Hg was associated with a decrement in visula memory, learning and verbal memory.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Yorifuji et al., 2011&lt;/strong&gt;. A survey of the Minamata exposed population made in 1971 to assess pre- and post-natal exposure revealed a methylmercury-induced impairment of intelligence as well as behavioral dysfunction.&lt;/p&gt;
</emperical-support-linkage>
      <uncertainties-or-inconsistencies>&lt;p&gt;One of the most difficult issues for neuroscientists is to link neuronal network function to cognition, including learning and memory. It is still unclear what modifications of neuronal circuits need to happen in order to alter motor behaviour as it is recorded in a learning and memory test (Mayford et al., 2012), meaning that there is no clear understanding about how these two KEs are connected.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;The direct relationship of alterations in neural network function and specific cognitive deficits is difficult to ascertain given the many forms that learning and memory can take and the complexity of synaptic interactions in even the simplest brain circuit. Linking of neurophysiological assessments to learning and memory processes have, by necessity, been made across simple monosynaptic connections and largely focused on the hippocampus. Alterations in synaptic function have been found in the absence of behavioral impairments. This may result from measuring only one component in the complex brain circuitry that underlies &amp;#39;cognition&amp;#39;, behavioral tests that are not sufficiently sensitive for the detection of subtle cognitive impairments, and behavioral plasticity whereby tasks are solved by the animal via different strategies developed as a consequence of developmental insult.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;Finally, in order to provide empirical support for this KER, data on the effects of lead (Pb) exposure are reported. Several epidemiological studies where Pb2+ exposure levels have been studied in relation to neurobehavioural alterations in children have been reviewed in Koller et al. 2004. This review has concluded that in some occasions there is negative correlation between Pb2+ dose and cognitive deficits of the subjects due to high influence of social and parenting factors in cognitive ability like learning and memory (Koller et al. 2004), meaning that not always Pb2+ exposure is positively associated with learning and memory impairment in children.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Mercury&lt;/strong&gt;&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Olczak et al., 2001. &lt;/strong&gt;Postnatal exposure of rats to Thimerosal (4 injections with 12, 240, 1440 and 3000 microgHg/kg per injection). Effects were measured in adult, which exhibited alterations in dopaminergic system with decline in the density of striatal D2 receptors, with a higher sensitivity for males. No alterations in spatial learning and memory was observed, but impairments of motor activity, increased anxiety (open fiel measurment), which are other symptoms of autism spectrum disorder.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Franco et al., 2006.&lt;/strong&gt; Lactational exposure of mice to methylmercury in drinking water (10 mg/L). Analysis at weaning revealed only impairment in motor performances.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Franco et al., 2007.&lt;/strong&gt; Lactational exposure of mice with mercury chloride (0.5 and 1.5 mg/kg,&amp;nbsp; i.p. injection once a day).. At weaning , animals exhibited an increased level of mercury in cerebellum associated with motor deficit.&lt;/p&gt;

&lt;p style="text-align:justify"&gt;&lt;strong&gt;Cardenas et al., 2017&lt;/strong&gt; showed that maternal red blood cell mercury of 3.8 ng/g was associated to increased DNA methylation of PON1 in umbilical cord blood only in male and observed deficit in cognitive performances, such as visual motor ability, vocabiary and verbal intellgence.&lt;/p&gt;
</uncertainties-or-inconsistencies>
    </weight-of-evidence>
    <known-modulating-factors></known-modulating-factors>
    <quantitative-understanding>
      <description>&lt;p&gt;There is not enough quantitative information how much change decrease of neuronal network functions leads to learning and memory deficits. However, qualitatively is well documented that decrease of LTP is directly linked to learning and memory deficits.&lt;/p&gt;

&lt;p&gt;There is very limited information on the degree of quantitative change in neural network function required to alter cognitive behaviors. This is a result of the diversity of methods for measuring both neuronal network function and learning and memory deficits, which hamper cross-study analyses. This highlights the need to develop empirical data based models of this KER. It is well known that the altered balance between excitatory and inhibitory synapses affects learning and memory, although no quantitative data are available.&lt;/p&gt;
</description>
      <response-response-relationship></response-response-relationship>
      <time-scale></time-scale>
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    <applicability>
      <sex>
        <evidence>High</evidence>
        <sex>Mixed</sex>
      </sex>
      <life-stage>
        <evidence>High</evidence>
        <life-stage>During brain development</life-stage>
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        <evidence>High</evidence>
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        <evidence>High</evidence>
      </taxonomy>
      <taxonomy taxonomy-id="d8d5c0fb-d5d8-4701-9119-f44d1542d797">
        <evidence>High</evidence>
      </taxonomy>
    </applicability>
    <evidence-supporting-taxonomic-applicability>&lt;p style="text-align:justify"&gt;Synaptic transmission and plasticity are achieved via mechanisms common across taxonomies. LTP has been recorded in aplysia, lizards, turtles, birds, mice, guinea pigs, rabbits and rats. Deficiencies in hippocampally based learning and memory following developmental hypothyroidism have been documented mainly in rodents and humans.&lt;/p&gt;
</evidence-supporting-taxonomic-applicability>
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  <aop id="03c60b49-a0cf-4c12-83ca-54abd9d45f1f">
    <title>Nicotinic acetylcholine receptor activation contributes to abnormal role change within the worker bee caste leading to colony death failure 1</title>
    <short-name>nAChR activation - colony death/failure2</short-name>
    <point-of-contact>Allie Always</point-of-contact>
    <authors>&lt;p&gt;Carlie A. LaLone, U.S Environmental Protection Agency (LaLone.Carlie@epa.gov)&lt;/p&gt;
</authors>
    <coaches>
    </coaches>
    <external_links>
    </external_links>
    <status>
      <wiki-license>BY-SA</wiki-license>
    </status>
    <oecd-project>1.29</oecd-project>
    <handbook-version>1.0</handbook-version>
    <abstract></abstract>
    <molecular-initiating-event key-event-id="0c562ee8-ab8e-4ad9-a242-bee44c0236c1">
      <evidence-supporting-chemical-initiation>&lt;p&gt;Text from LaLone et al. (2017) Weight of evidence evaluation of a network of adverse outcome pathways linking activaiton of the nicotinic acetylcholine receptor in honey bees to colony death. &lt;em&gt;Science of the Total Environment&lt;/em&gt; 584-585, 751-775:&lt;/p&gt;

&lt;p&gt;&amp;quot;The nicotinoids and neonicotinoids are both agonists of the nAChR&lt;br /&gt;
(Tomizawa and Casida, 2003); however, neonicotinoids are the primary&lt;br /&gt;
chemicals considered in the AOPs relevant to bees.&lt;br /&gt;
The potency of a nAChR agonist is dependent on the receptor subunit&lt;br /&gt;
composition, structurally important amino acid residues at the&lt;br /&gt;
binding site, and the ionization status of the chemical at physiological&lt;br /&gt;
pH (Tomizawa and Casida, 2003; Dani and Bertrand, 2007). For example,&lt;br /&gt;
nicotine is a classical vertebrate nAChR agonist; however, it has relatively&lt;br /&gt;
low affinity (and insecticidal activity) for the invertebrate&lt;br /&gt;
nAChR. Due to ionization, nicotine is poor at passing though the ion-impermeable&lt;br /&gt;
barrier surrounding the insect central nervous system(CNS;&lt;br /&gt;
Tomizawa and Casida, 2003). Conversely, non-ionizable neonicotinoids&lt;br /&gt;
readily translocate into the insect CNS and have high affinity for the&lt;br /&gt;
nAChR (e.g., Drosophila nAChR IC50 4.6 nM imidacloprid), with limited&lt;br /&gt;
or no binding activity to vertebrate nAChR (Tomizawa and Casida,&lt;br /&gt;
2003). Various studies have demonstrated that similarities and differences&lt;br /&gt;
in key amino acid residues in the ligand binding domain across&lt;br /&gt;
species can lead to structural and binding site differences that dictate&lt;br /&gt;
chemical interaction with the receptor (Dani and Bertrand, 2007;&lt;br /&gt;
Matsuda et al., 2009; Tomizawa and Casida, 2009; Jones and Sattelle,&lt;br /&gt;
2010; LaLone et al., 2016). Due to the intended insecticidal action of&lt;br /&gt;
neonicotinoids, a growing number of studies have been conducted to&lt;/p&gt;

&lt;p&gt;evaluate potential adverse effects in non-target species such as honey&lt;br /&gt;
bees exposed to neonicotinoids, particularly imidacloprid, clothianidin,&lt;br /&gt;
and thiamethoxam. Some of the results of these studies are included&lt;br /&gt;
in subsequent AOP descriptions.&amp;quot;&lt;/p&gt;
</evidence-supporting-chemical-initiation>
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