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Relationship: 1690
Title
Oxidative Stress leads to Cell injury/death
Upstream event
Downstream event
AOPs Referencing Relationship
| AOP Name | Adjacency | Weight of Evidence | Quantitative Understanding | Point of Contact | Author Status | OECD Status |
|---|---|---|---|---|---|---|
| Binding of electrophilic chemicals to SH(thiol)-group of proteins and /or to seleno-proteins involved in protection against oxidative stress during brain development leads to impairment of learning and memory | non-adjacent | High | High | Brendan Ferreri-Hanberry (send email) | Open for citation & comment | WPHA/WNT Endorsed |
Taxonomic Applicability
Sex Applicability
| Sex | Evidence |
|---|---|
| Male | |
| Female |
Life Stage Applicability
| Term | Evidence |
|---|---|
| All life stages | High |
Oxidative stress (OS) as a concept in redox biology and medicine has been formulated in 1985 (Sies, 2015). OS is intimately linked to cellular energy balance and comes from the imbalance between the generation and detoxification of reactive oxygen and nitrogen species (ROS/RNS) or from a decay of the antioxidant protective ability. OS is characterized by the reduced capacity of endogenous systems to fight against the oxidative attack directed towards target biomolecules (Wang and Michaelis, 2010; Pisoschi and Pop, 2015). Glutathione, the most important redox buffer in cells (antioxidant), cycles between reduced glutathione (GSH) and oxidized glutathione disulfide (GSSG), and serves as a vital sink for control of ROS levels in cells (Reynolds et al., 2007). Several case-control studies have reported the link between lower concentrations of GSH, higher levels of GSSG and the development of diseases (Rossignol and Frye, 2014). OS can cause cellular damage and subsequent cell death because the ROS oxidize vital cellular components such as lipids, proteins, and nucleic acids (Gilgun-Sherki, Melamed and Offen, 2001; Wang and Michaelis, 2010).
The central nervous system is especially vulnerable to free radical damage since it has a high oxygen consumption rate, an abundant lipid content and reduced levels of antioxidant enzymes (Coyle and Puttfarcken, 1993; Markesbery, 1997). It has been show that the developing brain is particularly vulnerable to neurotoxicants and OS due to differentiation processes, changes in morphology, lack of physiological barriers and less intrinsic capacity to cope with cellular stress (Grandjean and Landrigan, 2014; Sandström et al., 2017). However, it has to be noted that neural stem cells distinguish themeselves from post-mitotic neural cells by their lower ROS levels and higher expression of the key antioxidant enzymes glutathione peroxidase. This increased "vigilance" of antioxidant mechanisms might represent an innate characteristic of NSCs, which not only defines their cell fate, but also helps them to encounter oxidative stress (Madhavan et al., 2006).
OS has been linked to brain aging, neurodegenerative diseases, and other related adverse conditions. There is evidence that free radicals play a role in cerebral ischemia-reperfusion, head injury, Parkinson’s disease, amyotrophic lateral sclerosis, Down’s syndrome, and Alzheimer’s disease due to cellular damage (Markesbery, 1997; Gilgun-Sherki, Melamed and Offen, 2001; Wang and Michaelis, 2010). OS has also been linked to neurodevelopmental diseases and deficits like autism spectrum disorder and postnatal motor coordination deficits (Wells et al., 2009; Rossignol and Frye, 2014; Bhandari and Kuhad, 2015).
| ID | Experimental Design | Species | Upstream Observation | Downstream Observation | Citation (first author, year) | Notes |
|---|
| Title | First Author | Biological Plausibility |
Dose Concordance |
Temporal Concordance |
Incidence Concordance |
|---|
Biological Plausibility
Dose Concordance Evidence
Temporal Concordance Evidence
Incidence Concordance Evidence
Uncertainties and Inconsistencies
Mercury-induced upregulation of GSH level and GR activity as an adaptive mechanism following lactational exposure to methylmercury (10 mg/L in drinking water) associated with motor deficit, suggesting neuronal impairment (Franco et al., 2006).
|
Reference |
Chemical Concentration |
OS |
Cell injury/death |
|
(Sarafian et al., 1994) |
MeHg 0 µM |
ROS – ±100% DCF Fluorescence GSH – ±150% MCB Fluorescence |
±90% Viability |
|
MeHg 5 µM |
ROS – ±150% DCF Fluorescence GSH – ±100% MCB Fluorescence |
±80% Viability |
|
|
MeHg 10 µM |
ROS – ±200% DCF Fluorescence GSH – ±70% MCB Fluorescence |
±70% Viability |
|
|
(Lu et al., 2011) in vitro |
MeHg 0µM |
(2h) ROS – ±100% DCF Fluorescence (24h) 100% intracellular GSH levels |
100% Cell viability |
|
MeHg 3µM |
(2h) ROS – ±160 DCF Fluorescence (24h) ±60% intracellular GSH levels |
±50% Cell viability |
|
|
MeHg 5µM |
(2h) ROS – ±230 DCF Fluorescence (24h) ±30% intracellular GSH levels |
±10% Cell viability |
|
|
MeHg 3µM + NAC 1mM |
(2h) ROS – ±70 DCF Fluorescence (24h) ±90% intracellular GSH levels |
±90% Cell viability |
|
|
MeHg 5µM + NAC 1mM |
(2h) ROS% – ±70 DCF Fluorescence (24h) ±90% intracellular GSH levels |
±90% Cell viability |
|
|
(Kaur et al., 2006) |
0 mM MeHg |
(Neurons) GSH – 100v MCB Fluorescence ROS – 100% CMH2DCFDA Fluorescence (Astrocytes) GSH – 100v MCB Fluorescence ROS – 100% CMH2DCFDA Fluorescence |
(Neurons) 100% Cell viability (Astrocytes) 100% Cell viability |
|
5 mM MeHg |
(Neurons) GSH – ± 50v MCB Fluorescence ROS – ± 400% CMH2DCFDA Fluorescence (Astrocytes) GSH – ± 70% MCB Fluorescence ROS – ± 120% CMH2DCFDA Fluorescence |
(Neurons) ±60% Cell viability (Astrocytes) ±75% Cell viability |
|
|
5 mM MeHg + NAC |
(Neurons) GSH – ± 80% MCB Fluorescence ROS – ± 200% CMH2DCFDA Fluorescence (Astrocytes) GSH – ± 80% MCB Fluorescenc e ROS – ± 90% CMH2DCFDA Fluorescence |
(Neurons) ±90% Cell viability (Astrocytes) ±90% Cell viability |
|
|
5 mM MeHg + DEM |
(Neurons) GSH – ± 50% MCB Fluorescenc e ROS – ± 470% CMH2DCFDA Fluorescence (Astrocytes) GSH – ± 70% MCB Fluorescence ROS – ± 120% CMH2DCFDA Fluorescence |
(Neurons) ±55% Cell viability (Astrocytes) ±65% Cell viability |
|
|
NAC |
(Neurons) GSH – ± 110v MCB Fluorescence ROS – ± 100% CMH2DCFDA Fluorescence (Astrocytes) GSH – ±100% MCB Fluorescence ROS – ± 60% CMH2DCFDA Fluorescence |
(Neurons) ±110% Cell viability (Astrocytes) ±110% Cell viability |
|
|
DEM |
(Neurons) GSH – ± 60% MCB Fluorescence ROS – ± 250% CMH2DCFDA Fluorescence (Astrocytes) GSH – ± 80 MCB Fluorescence ROS – ± 110 CMH2DCFDA Fluorescence |
(Neurons) ±80% Cell viability (Astrocytes) ±85% Cell viability |
|
|
(Franco et al., 2007) |
0 µM MeHg |
100% GSH |
100% mitochondrial viability |
|
30 µM MeHg |
± 70% GSH |
± 70% mitochondrial viability |
|
|
0 µM HgCl2 |
100% GSH |
100% mitochondrial viability |
|
|
30 µM HgCl2 |
± 65% GSH |
± 65% mitochondrial viability |
|
|
(Lakshmi et al., 2012) |
Control |
GSH – 0.5 µmoles/mg of protein |
± 6 Damaged cells/Field |
|
Acrylamid |
GSH – 0.2 µmoles/mg of protein |
± 20 Damaged cells/Field |
|
|
Acrylamid + Fish Oil |
GSH – 0.4 µmoles/mg of protein |
± 11 Damaged cells/Field |
|
|
Fish Oil |
GSH – 0.5 µmoles/mg of protein |
± 5 Damaged cells/Field |
Response-response Relationship
Time-scale
Known Feedforward/Feedback loops influencing this KER
Rat, Mouse: (Sarafian et al., 1994; Castoldi et al., 2000; Kaur et al., 2006; Franco et al., 2007; Lu et al., 2011; Polunas et al., 2011)
(Richetti et al., 2011) - Adult and healthy zebrafish of both sexes (12 animals and housed in 3 L) mercury chloride final concentration of 20 mg/L. Mercury chloride promoted a significant decrease in acetylcholinesterase activity and the antioxidant competence was also decreased.
(Berntssen, Aatland and Handy, 2003) - Atlantic salmon (Salmo salar L.) were supplemented with mercuric chloride (0, 10, or 100 mg Hg per kg) or methylmercury chloride (0, 5, or 10 mg Hg per kg) for 4 months.
Methylmercury chloride
- accumulated significantly in the brain of fish fed 5 or 10 mg/kg
- No mortality or growth reduction
- - 2-fold increase in the antioxidant enzyme super oxide dismutase (SOD) in the brain
- 10 mg/kg - 7-fold increase of lipid peroxidative products (thiobarbituric acid reactive substances, TBARS) and a subsequently 1.5-fold decrease in anti oxidant enzyme activity (SOD and glutathione peroxidase, GSH-Px). Fish also had pathological damage (vacoulation and necrosis), significantly reduced neural enzyme activity (5-fold reduced monoamine oxidase, MAO, activity), and reduced overall post-feeding activity behaviour.
Mercuric chloride
- accumulated significantly in the brain only at 100 mg/kg
- No mortality or growth reduction
- 100 mg/kg - significant reduced neural MAO activity and pathological changes (astrocyte proliferation) in the brain, however, neural SOD and GSH-Px enzyme activity, lipid peroxidative products (TBARS), and post feeding behaviour did not differ from controls.