Loss of TIGAR Induces Oxidative Stress and Meiotic Defects in Oocytes from Obese Mice.
Haichao WangQing ChengXiaoyan LiFeifei HuLongsen HanHao ZhangLing LiJuan GeXiaoyan YingXuejiang GuoQiang WangPublished in: Molecular & cellular proteomics : MCP (2018)
Maternal obesity has been reported to impair oocyte quality in mice, however, the underlying mechanisms remain unclear. In the present study, by conducting a comparative proteomic analysis, we identified a reduced expression of TIGAR (TP53-induced glycolysis and apoptosis regulator) protein in ovulated oocytes from high-fat diet (HFD)-fed mice. Specific depletion of TIGAR in mouse oocytes results in the marked elevation of reactive oxygen species (ROS) levels and the failure of meiotic apparatus assembly. Importantly, forced expression of TIGAR in HFD oocytes not only attenuates ROS production, but also partly prevents spindle disorganization and chromosome misalignment during meiosis. Meantime, we noted that TIGAR knockdown in oocytes induces a strong activation of autophagy, whereas overexpression of TIGAR significantly reduces the LC3 accumulation in HFD oocytes. By anti-oxidant treatment, we further demonstrated that such an autophagic response is dependent on the TIGAR-controlled ROS production. In summary, our data indicate a role for TIGAR in modulating redox homeostasis during oocyte maturation, and uncover that loss of TIGAR is a critical pathway mediating the effects of maternal obesity on oocyte quality.
Keyphrases
- high fat diet
- insulin resistance
- reactive oxygen species
- cell death
- oxidative stress
- high fat diet induced
- adipose tissue
- dna damage
- poor prognosis
- metabolic syndrome
- signaling pathway
- weight loss
- transcription factor
- type diabetes
- diabetic rats
- endoplasmic reticulum stress
- physical activity
- birth weight
- cell cycle arrest
- binding protein
- ischemia reperfusion injury
- body mass index
- mass spectrometry
- gene expression
- copy number
- big data
- heat shock protein
- endothelial cells
- artificial intelligence
- high glucose
- liquid chromatography
- cell proliferation
- machine learning
- pi k akt
- deep learning
- simultaneous determination
- gestational age