The impacts of the number of prefreeze and postthaw blastomeres on embryo implantation potential: A systematic analysis.

To systematically analyze the potential of embryo implantation through comparison between the number of surviving blastomeres, the growth, and implantation rate.Retrospective analysis on implantation rate and the growth of prefreeze-postthaw embryos with different blastomeres in 1487 frozen embryo transfer cycles.In groups of postthaw embryos without damage, implantation rate and the average number of blastomere growth increased significantly with increasing number of blastomeres.

The peripheral blood transcriptome identifies dysregulation of inflammatory response genes in polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women, resulting in ovulation failure and other metabolic problems. However, the underlying mechanisms of it remain largely uncertain due to the complexity of clinical manifestations. This systemic disorder is involved in endocrine, metabolism, immune system and many organs, and few studies have explored peripheral blood transcriptome in patients with PCOS.

[Time interval from the end of sperm processing to artificial intrauterine in semination with husband's sperm correlates to the rate of clinical pregnancy].

Objective: To investigate the influence of the time interval from the end of semen processing to artificial intrauterine in semination with husband's sperm (AIH-IUI) on the rate of clinical pregnancy.

Methods: This study involved 191 AIH-IUI cycles with the same ovulation induction protocol. After Percoll density gradient centrifugation, we divided the sperm into four groups based on the incubation time: 0-19, 20-39, 40-59, and 60-80 min, and again into another four groups according to the total progressively motile sperm count (TPMC): (0-9), (10-20), (21-30), and > 30 x 10(6).

[Differences between CD3⁺ TCRvα24⁺ NKT cell and CD3⁺ TCRvβ11⁺ NKT cell in PBMC].

Aim: Clarified the differences between CD3(+);TCRvα24(+); NKT cells and CD3(+);TCRvβ11(+); NKT cells in their frequencies, subpopulations, phenotypes and biological functions, so as to fully understand the effects of NKT cells in immune responses.

Methods: PBMCs from blood donors were isolated and cell surface markers (CD3, TCRvα24, TCRvβ11, CD4, CD8, CD45RA, CD62L, CCR7) and intracellular cytokines (IL-4, IFN-γ) were detected by flow cytometry directly or after stimulation with PMA plus Ionomycin.

Results: The mean frequencies of CD3(+);TCRvα24(+); NKT cells and CD3(+);TCRvβ11(+); NKT cells in PBMCs were 0.