Comparison of three antioxidants in chemical and biological assays on porcine oocytes during ageing in vitro .
Chan-Oh ParkSeung-Eun LeeJae-Wook YoonHyo-Jin ParkSo-Hee KimSeung-Hwan OhDo-Geon LeeDa-Bin PyeonEun-Young KimSe-Pill ParkPublished in: Zygote (Cambridge, England) (2022)
Our previous studies have already revealed that β-cryptoxanthin (BCX), hesperetin (HES), and icariin (ICA) antioxidants are effective for in vitro maturation (IVM) of porcine oocytes. In this study, we investigated which of BCX, HES, or ICA was more effective for IVM of porcine oocytes. The antioxidant properties were assessed with aged porcine oocytes and embryos by comparing 2,2-diphenyl-1-(2,4,6-trinitrophenyl)hydrazyl (DPPH), reducing power, and H 2 O 2 scavenging activity assays. The chemical assay results demonstrated that BCX had a greater DPPH scavenging activity and reducing power than HES and ICA, compared with controls. However, the H 2 O 2 scavenging activity of the antioxidants was similar when tested at the optimal concentrations of 1 μM BCX (BCX-1), 100 μM HES (HES-100), and 5 μM ICA (ICA-5). The biological assay results showed that BCX-1 treatment was more effective in inducing a significant reduction in reactive oxygen species (ROS), improving glutathione levels, and increasing the expression of antioxidant genes. In addition, BCX-1 inhibited apoptosis by increasing the expression of anti-apoptotic genes and decreasing pro-apoptotic genes in porcine parthenogenetic blastocysts. BCX-1 also significantly increased the blastocyst formation rate compared with the ageing control group, HES-100 and ICA-5. This study demonstrates that damage from ROS produced during oocyte ageing can be prevented by supplementing antioxidants into the IVM medium, and BCX may be a potential candidate to improve assisted reproductive technologies.
Keyphrases
- cell death
- reactive oxygen species
- oxidative stress
- anti inflammatory
- high throughput
- genome wide
- dna damage
- dna methylation
- genome wide identification
- cell cycle arrest
- bioinformatics analysis
- binding protein
- transcription factor
- single cell
- endoplasmic reticulum stress
- long non coding rna
- risk assessment
- climate change
- mass spectrometry