scholarly journals Defective calcium release during in vitro fertilization of maturing oocytes of LT/Sv mice

2008 ◽  
Vol 52 (7) ◽  
pp. 903-912 ◽  
Author(s):  
Karolina Archacka ◽  
Anna Ajduk ◽  
Pawel Pomorski ◽  
Katarzyna Szczepanska ◽  
Marek Maleszewski ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Calcium Release ◽  
Vitro Fertilization

Predictive Model for Live Birth at 12 Months After Starting In-Vitro Fertilization Treatment

MedPharmRes ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 5-20
Author(s):  
Vu Ho ◽  
Toan Pham ◽  
Tuong Ho ◽  
Lan Vuong
Keyword(s):  
In Vitro Fertilization ◽  
Live Birth ◽  
Cox Regression ◽  
Financial Burden ◽  
Oocyte Retrieval ◽  
Operating Characteristics ◽  
Vitro Fertilization ◽  
Cox Regression Analysis ◽  
Significant Difference

IVF carries a considerable physical, emotional and financial burden. Therefore, it would be useful to be able to predict the likelihood of success for each couple. The aim of this retrospective cohort study was to develop a prediction model to estimate the probability of a live birth at 12 months after one completed IVF cycle (all fresh and frozen embryo transfers from the same oocyte retrieval). We analyzed data collected from 2600 women undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) at a single center in Vietnam between April 2014 and December 2015. All patients received gonadotropin-releasing hormone (GnRH) antagonist stimulation, followed by fresh and/or frozen embryo transfer (FET) on Day 3. Using Cox regression analysis, five predictive factors were identified: female age, total dose of recombinant follicle stimulating hormone used, type of trigger, fresh or FET during the first transfer, and number of subsequent FET after the first transfer. The area under the receiver operating characteristics curve for the final model was 0.63 (95% confidence interval [CI] 0.60‒0.65) and 0.60 (95% CI 0.57‒0.63) for the validation cohort. There was no significant difference between the predicted and observed probabilities of live birth (Hosmer-Lemeshow test, p > 0.05). The model developed had similar discrimination to existing models and could be implemented in clinical practice.

Differences between antigenic determinants of pig and cat zona pellucida proteins

Reproduction ◽  
2000 ◽  
pp. 15-23 ◽  
Author(s):  
K Jewgenow ◽  
M Rohleder ◽  
I Wegner
Keyword(s):  
In Vitro Fertilization ◽  
Zona Pellucida ◽  
Antigenic Determinants ◽  
Vitro Fertilization ◽  
Contraceptive Vaccine ◽  
Sperm Binding ◽  
Dependent Inhibition ◽  
Dose Dependent Inhibition ◽  
Dose Dependent

Despite many efforts, the control of reproduction in feral cat populations is still a problem in urban regions around the world. Immunocontraception is a promising approach; thus the present study examined the suitability of the widely used pig zona pellucida proteins (pZP) for contraception in feral domestic cats. Purified zona pellucida proteins obtained from pig and cat ovaries were used to produce highly specific antisera in rabbits. Antibodies against pZP raised in rabbits or lions were not effective inhibitors of either in vitro sperm binding (cat spermatozoa to cat oocytes) or in vitro fertilization in cats, whereas antibodies against feline zona pellucida proteins (fZP) raised in rabbits showed a dose-dependent inhibition of in vitro fertilization. Immunoelectrophoresis, ELISA and immunohistology of ovaries confirmed these results, showing crossreactivity of anti-fZP sera to fZP and to a lesser extent to pZP, but no interaction of anti-pZP sera with fZP. It is concluded that cat and pig zonae pellucidae express a very small number of shared antigenic determinants, making the use of pZP vaccine in cats questionable. A contraceptive vaccine based on feline zona pellucida determinants will be a better choice for the control of reproduction in feral cats if immunogenity can be achieved.

Fine cryopreservation method of porcine blastocysts produced by in vitro fertilization

2014 ◽  
Author(s):  
Sung-Hun Min ◽  
Jin-Woo Kim ◽  
Yong-Hee Lee ◽  
Jae-Hyun Ahn ◽  
Geon-Yeop Do ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Vitro Fertilization ◽  
Cryopreservation Method

Levels interleukine-4 and interleukin-17 (IL-4, IL-17) of blood in patients with habitual recurrent pregnancy loss, which occurred in a loop in vitro fertilization

2016 ◽  
pp. 137-139
Author(s):  
K.P. Golovatyuk ◽  
Keyword(s):  
In Vitro Fertilization ◽  
Conditioned Medium ◽  
Mononuclear Cells ◽  
Recurrent Miscarriage ◽  
Interleukin 4 ◽  
Control Group ◽  
Interleukin 17 ◽  
Vitro Fertilization ◽  
Blood Mononuclear Cells

The objective: was to investigate the levels of cytokines IL-4 and IL-17 in serum and conditioned medium cultures of blood mononuclear cells (MNC) and evaluation association between their products and miscarriage, which occurred in IVF cycles. Patients and methods. We observed 240 patients with recurrent miscarriage, came in IVF cycles, and 100 apparently healthy fertile women in the control group. The concentrations of IL-4 and IL-17 in serum and conditioned medium of MNC cultures were determined. Results. The levels of IL-4 in the serum and conditioned medium in spontaneous and stimulated mitogen secretion was not significantly different from those in the control group, whereas IL-17 levels were higher than those in the control group serum, in conditioned media of stimulated and non-stimulated MNCs. Conclusion. Disregulation of activity of circulating blood mononuclear cells in women with recurrent miscarriage that followed IVF, is accompanied by increased secretion of IL-17 and almost constant production of IL-4 on the back of high stimulation index of production of these cytokines. Key words: in vitro fertilization, miscarriage, interleukin-4, interleukin-17, serum stimulated and non-stimulated mononuclear blood.

Cumulative live birth rates in in-vitro fertilization

2019 ◽  
Vol 71 (3) ◽  
Author(s):  
Panagiotis Drakopoulos ◽  
Joaquín Errázuriz ◽  
Samuel Santos-Ribeiro ◽  
Herman Tournaye ◽  
Alberto Vaiarelli ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Live Birth ◽  
Birth Rates ◽  
Vitro Fertilization ◽  
Live Birth Rates ◽  
Cumulative Live Birth
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