Comparison of the protective effect of cytosolic and mitochondrial Peroxiredoxin 5 against glutamate-induced neuronal cell death

Redox Rep. 2021 Dec;26(1):53-61. doi: 10.1080/13510002.2021.1901028.

Abstract

Objectives: Although glutamate is an essential factor in the neuronal system, excess glutamate can produce excitotoxicity. We previously reported that Peroxiredoxin 5 (Prx5) protects neuronal cells from glutamate toxicity via its antioxidant effects. However, it is unclear whether cytosolic or mitochondrial Prx5 provides greater neuroprotection. Here, we investigated differences in the neuroprotective effects of cytosolic and mitochondrial Prx5.Methods: We analyzed patterns of cytosolic and mitochondrial H2O2 generation in glutamate toxicity using HyPer protein. And then, we confirmed the change of intracellular ROS level and apoptosis with respective methods. The mitochondrial dynamics was assessed with confocal microscope imaging and western blotting.Results: We found that the level of mitochondrial H2O2 greatly increased compared to cytosolic H2O2 and it affected cytosolic H2O2 generation after glutamate treatment. In addition, we confirmed that mitochondrial Prx5 provides more effective neuroprotection than cytosolic Prx5.Discussion: Overall, our study reveals the mechanisms of cytosolic and mitochondrial ROS in glutamate toxicity. Our findings suggest that mitochondrial ROS and Prx5 are attractive therapeutic targets and that controlling these factors be useful for the prevention of neurodegenerative diseases.

Keywords: Cytosolic ROS; HT22; Hydrogen peroxide; Hyper; Peroxiredoxin 5; apoptosis; glutamate; mitochondrial ROS.

MeSH terms

  • Apoptosis
  • Cell Death
  • Glutamic Acid / toxicity
  • Hydrogen Peroxide / toxicity
  • Neuroprotective Agents* / pharmacology
  • Oxidative Stress
  • Peroxiredoxins* / metabolism
  • Reactive Oxygen Species

Substances

  • Neuroprotective Agents
  • Reactive Oxygen Species
  • Glutamic Acid
  • Hydrogen Peroxide
  • Peroxiredoxins

Grants and funding

This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Republic of Korea government [NRF-2020R1A2B5B01002563 and NRF-2017R1A5A2015391]. And, this work was supported by the Technology Innovation Program funded by the Ministry of Trade Industry and Energy Korea (MOTIE, Korea) (20009707).