Risk and mechanism of glucose metabolism disorder in the offspring conceived by female fertility maintenance technology.

Although female fertility maintenance technology (FFMT) provides an effective option for preserving fertility in patients with cancer suffering from fertility loss due to cancer treatment, previous studies have shown that the technique has certain potential risks and requires an assessment of the health status of the offspring since FFMT may lead to glucose metabolism disorder in offspring mice. The present animal study examined the glucose metabolism of adult mice offspring born from ovarian tissue cryopreservation and orthotopic allotransplantation. The mice were divided into three groups: normal, fresh ovary transplantation, and cryopreserved ovary transplantation. We recorded fasting blood glucose, glucose tolerance, and fasting serum insulin level for six months. Liver DNA, RNA, and proteins were extracted to detect the interaction between DNA methylation and Grb10 expression and insulin signaling pathway factors such as P-IGF1R, P-IRS2, P-AKT, and Grb10. Female recipient mice that received FFMT could successfully give birth after mating. The average litter size and total litter size of the cryopreserved and fresh groups showed marked differences compared with the normal group. Compared with the normal group, the fasting blood glucose and fasting serum insulin levels were higher in the cryopreserved and fresh groups. The mRNA and protein expressions of Grb10 were higher in the fresh and cryopreserved groups. Compared with the normal group, the DNA methylation status of four of the 11 sites of the Grb10 promoter was lower in the cryopreserved group. Grb10 overexpression inhibited the downstream phosphorylation protein factor expression (p-IGF-1R, p-IRS2, and p-Akt) of the IGF-1R signaling pathway. Female fertility maintenance technology (FFMT), including ovarian tissue cryopreservation (OTC), and orthotopic allotransplantation techniques might lead to glucose metabolism disorders in offspring mice.

PGC-1α regulates the cell cycle through ATP and ROS in CH1 cells.

Peroxisome proliferator-activated receptor-γ coactivator 1α (PGC-1α) is a transcriptional co-activator involved in mitochondrial biogenesis, respiratory capacity, and oxidative phosphorylation (OXPHOS). PGC-1α plays an important role in cellular metabolism and is associated with tumorigenesis, suggesting an involvement in cell cycle progression. However, the underlying mechanisms mediating its involvement in these processes remain unclear. To elucidate the signaling pathways involved in PGC-1α function, we established a cell line, CH1 PGC-1α, which stably overexpresses PGC-1α. Using this cell line, we found that over-expression of PGC-1α stimulated extra adenosine triphosphate (ATP) and reduced reactive oxygen species (ROS) production. These effects were accompanied by up-regulation of the cell cycle checkpoint regulators CyclinD1 and CyclinB1. We hypothesized that ATP and ROS function as cellular signals to regulate cyclins and control cell cycle progression. Indeed, we found that reduction of ATP levels down-regulated CyclinD1 but not CyclinB1, whereas elevation of ROS levels down-regulated CyclinB1 but not CyclinD1. Furthermore, both low ATP levels and elevated ROS levels inhibited cell growth, but PGC-1α was maintained at a constant level. Together, these results demonstrate that PGC-1α regulates cell cycle progression through modulation of CyclinD1 and CyclinB1 by ATP and ROS. These findings suggest that PGC-1α potentially coordinates energy metabolism together with the cell cycle.

[Quantitative detection and species identificaton of human Plasmodium spp. by using SYBR Green I based real-time PCR].

OBJECTIVE: To develop a real-time PCR method for human Plasmodium spp. qantitative detection and species identificaton. METHODS: According to the sequence of Plasmodium 18S rRNA, the primer set was designed based on the genus-specific region around the species-specfic region. The PCR products were amplified and cloned into pGEM-T vector to produce standard plasmids of real-time PCR, and melting curve analysis was conducted following real-time PCR for Plasmodium species indentification. RESULTS: By using the primer set, specific PCR products were produced from all of 4 human malaria parasites. The correlation of real-time PCR standard curve was good enough (r = -1.00) for quantitation. According to the melting curve analysis, the melting temperatures (Tm) of Plasmodium malariae, falciparum, ovale and vivax were significantly different, being 71.3, 72.8, 74.6 degrees C and 75.8 degrees C, respectively. CONCLUSION: The SYBR Green I based real-time PCR method developed in this study can be used for human Plasmodium spp. quantitative detection and species identificaton.