Correlation of IL-1, IL-6, IL-10 Concentrations to Ovarian Hyperstimulation Syndrome and Effect of Intravenous Immunoglobulin on Ovarian Hyperstimulated Rats

Objective To investigate the correlation of interleukin（IL）-1,IL-6 and IL-10 concentrations to ovarian hyperstimulation syndrome（OHSS） and whether intravenous immunoglobulin（IVIG） has the effects on ovarian hyperstimulated rats. Methods Immature female Wistar rats were divided into control group, OHSS group （n=13） and IVIG group（n=13）. For the latter two groups, pregnancy mare serum gonadotropin（PMSG）and human chorionic gonadotropin（hCG） were given to induce OHSS, and rats in IVIG group were treated with immunoglobulin. Forty-eight hours after administration of hCG, capillary permeability was evaluated from the Evans blue dye（EB） concentration in the ovaries and the EB concentration in peritoneal irrigated fluid at 30 min after the intravenous injection of EB. Rats＇ blood samples and ovaries were obtained to be measured for IL-1, IL-6 and IL-10 by ELISA. Results In OHSS group, total weights of bilateral ovaries and the ovarian EB concentration were significantly higher than those in others（P〈0.05）. Both serum and ovarian concentrations of IL-1 were significantly higher in OHSS and IVIG groups than those in control group （P〈0.05）. The ovarian concentrations of IL-6 and IL-10 in IVIG group were significantly lower than those in control group（P〈0.05）. Furthermore, the ovarian IL-10 concentration in IVIG group was significantly lower than that in OHSS group（P〈0. 05）. Conclusion Inflammation involved IL-1 in OHSS rats plays an important role. Vascular permeability was mostly increased in ovaries of hyperstimulated rats. It appears that ovaries of OHSS rats may be the primary places of inflammation. IVIG treatment resulted in statistically significant reductions in ovaries＇ weights and ovarian vascular permeability of OHSS rats, with a decreased level of ovarian IL-10. It implys that IVIG have a beneficial effect in reducing the severity of OHSS in the experimental model maybe by restrainning IL-10.

Transplantation of Human Bone Marrow Mesenchymal Stem Cell Ameliorates the Autoimmune Pathogenesis in MRL/lpr Mice

Recent evidence indicates that mesenchymal stem cells （MSC） possess immunosuppressive properties both in vitro and in vivo. We previously demonstrated the functional abnormality of bone marrow derived MSC in patients with systemic lupus erythematosus （SLE）. In this study, we aimed to investigate whether transplantation of human bone marrow derived MSC affects the autoimmune pathogenesis in MRL/Ipr mice. We found that human MSC from healthy donors reduced the proliferation of T lymphocytes from MRL/Ipr mice in a dose-dependent fashion. Two weeks after in vivo transfer of MSC, we detected significantly reduced serum levels of anti ds-DNA antibodies and 24 hour proteinuria in MRL/Ipr mice as compared with control groups without MSC transplantation. Moreover, flow cytometric analysis revealed markedly reduced number of CD4＋ T cells while increased Thl subpopulation in MSC group and MSC ＋ CTX group when compared with controls. Histopathological examination showed significantly reduced renal pathology in MSC-treated mice. Immunohistochemical studies further revealed reduced expression of TGF-~, FN, VEGF and the deposition of complement C3 in renal tissue after MSC and MSC ＋ CTX treatment. Taken together, we have demonstrated that transplantation of human MSC can significantly inhibit the autoimmune progression in MRL/Ipr mice. Cellular ＆ Molecular Immunology. 2008;5（6）：417-424.

Sign series entropy analysis of short-term heart rate variability

Complexity and nonlinearity approaches can be used to study the temporal and structural order in heart rate variability (HRV) signal, which is helpful for understanding the underlying rule and physiological essence of cardiovascular regulation. For clinical applications, methods suitable for short-term HRV analysis are more valuable. In this paper, sign series entropy analysis (SSEA) is proposed to characterize the feature of direction variation of HRV. The results show that SSEA method can detect sensitively physiological and pathological changes from short-term HRV signals, and the method also shows its robustness to nonstationarity and noise. Thus, it is suggested as an efficient way for the analysis of clinical HRV and other complex physiological signals.