Induction of oxidative stress does not increase the cryotolerance of vitrified embryos.

Short-term treatment of mammalian oocytes with different stressors induces stress tolerance of embryos derived from these oocytes. The aims of this study were to evaluate effects on embryo development when there was treatment of oocyte complexes (COCs) used to derive the embryos with hydrogen peroxide (H2O2).The COCs were not incubated with H2O2: control (0 µM), or were incubated with 25, 50, 75, or 100 µM concentrations of H2O2 for 1 h prior to in vitro fertilization, and presumptive zygotes were cultured until day 7. Blastocysts at day 7 of development derived from H2O2-treated (25 µM treatment concentration) COCs were vitrified. Percentage of embryos undergoing cleavage was not affected by any treatment, while percentage of embryos developing to the blastocyst stage was less when there was treatment of COCs with 100 µM of H2O2. Embryo quality was less when COCs used to derive blastocysts were treated with 50, 75, or 100 µM concentrations of H2O2. There were lesser relative abundances of some mRNA transcripts of interest in blastocysts when there was treatment of COCs with H2O2. After vitrification, there were no differences in embryo re-expansion and hatching rates compared with fresh and vitrified blastocysts of the control group and those derived from COCs treated with 25 µM H2O2. In conclusion, treatment of COCs used to derive blastocysts with H2O2 does not induce stress tolerance in vitrified embryos of cattle; however, the viability of these blastocysts is similar to those of the control group.

Simulated physiological oocyte maturation has side effects on bovine oocytes and embryos.

PURPOSE: Oocyte maturation is a complex process involving nuclear and cytoplasmic modulations, during which oocytes acquire their ability to become fertilized and support embryonic development. The oocyte is apparently "primed" for maturation during its development in the dominant follicle. As bovine oocytes immediately resume meiosis when cultured, it was hypothesized that delaying resumption of meiosis with cyclic nucleotide modulators before in vitro maturation (IVM) would allow the oocytes to acquire improved developmental competence. METHODS: We tested the Simulated Physiological Oocyte Maturation (SPOM) system that uses forskolin and 3-isobutyl-1-methylxanthine for 2 h prior to IVM against two different systems of conventional IVM (Con-IVM). We evaluated the ultrastructure of matured oocytes and blastocysts and also assessed the expression of 96 genes related to embryo quality in the blastocysts. RESULTS: In summary, the SPOM system resulted in lower blastocyst rates than both Con-IVM systems (30 ± 9.1 vs. 35 ± 8.7; 29 ± 2.6 vs. 38 ± 2.8). Mature SPOM oocytes had significantly increased volume and number of vesicles, reduced volume and surface density of large smooth endoplasmic reticulum clusters, and lower number of mitochondria than Con-IVM oocytes. SPOM blastocysts showed only subtle differences with parallel undulations of adjacent trophectoderm plasma membranes and peripherally localized ribosomes in cells of the inner cell mass compared with Con-IVM blastocysts. SPOM blastocysts, however, displayed significant downregulation of genes related to embryonic developmental potential when compared to Con-IVM blastocysts. CONCLUSIONS: Our results show that the use of the current version of the SPOM system may have adverse effects on oocytes and blastocysts calling for optimized protocols for improving oocyte competence.

Artificial Intelligence-Based Grading Quality of Bovine Blastocyst Digital Images: Direct Capture with Juxtaposed Lenses of Smartphone Camera and Stereomicroscope Ocular Lens.

In this study, we developed an online graphical and intuitive interface connected to a server aiming to facilitate professional access worldwide to those facing problems with bovine blastocysts classification. The interface Blasto3Q, where 3Q refers to the three qualities of the blastocyst grading, contains a description of 24 variables that were extracted from the image of the blastocyst and analyzed by three Artificial Neural Networks (ANNs) that classify the same loaded image. The same embryo (i.e., the biological specimen) was submitted to digital image capture by the control group (inverted microscope with 40× magnification) and the experimental group (stereomicroscope with maximum of magnification plus 4× zoom from the cell phone camera). The images obtained from the control and experimental groups were uploaded on Blasto3Q. Each image from both sources was evaluated for segmentation and submitted (only if it could be properly or partially segmented) for automatic quality grade classification by the three ANNs of the Blasto3Q program. Adjustments on the software program through the use of scaling algorithm software were performed to ensure the proper search and segmentation of the embryo in the raw images when they were captured by the smartphone, since this source produced small embryo images compared with those from the inverted microscope. With this new program, 77.8% of the images from smartphones were successfully segmented and from those, 85.7% were evaluated by the Blasto3Q in agreement with the control group.