Published: Vol 9, Iss 12, Jun 20, 2019 DOI: 10.21769/BioProtoc.3263 Views: 8511
Reviewed by: Davide BottaHua WangAnonymous reviewer(s)
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Abstract
It has been well-established that malondialdehyde (MDA), which is generated during the process of lipid peroxidation, is a commonly known biomarker for oxidative stress. Therefore, the serum levels of MDA are detected by using the lipid peroxidation assay with commercially available kit to determine the induction of oxidative stress in rat models.
Keywords: Oxidative stressBackground
As lipid peroxidation is the degradation of lipids that occurs as a result of oxidative damage and contributes to the pathology of many diseases, some end-products of the chain reaction of lipid peroxidation such as malondialdehyde (MDA), 4-Hydroxynonenal (4-HNE) and 8-iso-Prostaglandin F2alpha (8-isoprostane) in serum samples have been detected and quantified for the identification of oxidative damage (Marrocco et al., 2017). In the current lipid peroxidation assay protocol, the serum levels of MDA could be specifically and reliably quantified based on the condensation reaction between MDA and thiobarbituric acid (TBA) by modifying a commercially available kit (MAK085D; Sigma, St Louis, MO) without n-butanol precipitation step (Tang et al., 2019).
Materials and Reagents
Equipment
Software
Procedure
The flow chart in Figure 1 shows all the steps described in this protocol.
Figure 1. Schematic diagram of the assay procedure
Data analysis
Notes
Recipes
Acknowledgments
CJX is supported by National Health and Medical Research Council of Australia (No. 1127396) and Natural Science Foundation of China (No. 81671928).
Competing interests
The authors declared that they have no conflict of interests to this work.
References
Article Information
Copyright
© 2019 The Authors; exclusive licensee Bio-protocol LLC.
How to cite
Tang, Q., Su, Y. and Xian, C. J. (2019). Determining Oxidative Damage by Lipid Peroxidation Assay in Rat Serum. Bio-protocol 9(12): e3263. DOI: 10.21769/BioProtoc.3263.
Category
Developmental Biology > Cell signaling > Stress response
Cell Biology > Cell metabolism > Lipid
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