Interventions have to be carefully designed and the features of the particular local Latin American context considered.”
“Oxytocin is crucially
involved in the onset and maintenance Angiogenesis inhibitor of labor. We investigated the association between oxytocin receptor gene polymorphisms and preterm birth. The presence of four common oxytocin receptor gene polymorphisms (rs2254298, rs53576, rs2228485 and rs237911) was evaluated in one hundred women with preterm birth and one hundred healthy women using restriction fragment length polymorphism genotyping. No association was found between the presence of any individual oxytocin receptor gene polymorphism and preterm birth. In haplotype analysis, the haplotype combination of rs2254298 A allele, rs2228485 C allele and rs237911 G allele was found to be significantly associated with an increased risk of preterm birth (OR = 3.2 [CI 1.04-9.8], p = 0.043). In conclusion our findings suggest that a combination of three oxytocin receptor gene polymorphisms is associated with an increased hypoxia-inducible factor cancer risk for preterm birth. We propose further studies investigating the role of oxytocin receptor gene polymorphisms and preterm birth.”
“Background: Organ transplant candidates with serum antibodies
directed against human leukocyte antigens (HLA) face longer waiting times and higher mortality while awaiting transplantation. This study examined the accuracy of virtual crossmatch, in which recipient HLA-specific antibodies, identified by solid-phase assays, are compared to the prospective donor HLA-type in heart transplantation.
Methods: We examined the accuracy of virtual crossmatch in predicting immune compatibility of donors and recipients in heart transplantation and clinical outcomes in immunologically sensitized heart transplant recipients in whom virtual crossmatch was used in allograft allocation.
Results: Based on analysis of 257 T-cell antihuman learn more immunoglobulin complement-dependent cytotoxic (AHG-CDC) crossmatch tests, the positive predictive value of virtual crossmatch (the likelihood of an incompatible
virtual crossmatch resulting in an incompatible T-cell CDC-AHG crossmatch) was 79%, and the negative predictive value of virtual crossmatch (the likelihood of a compatible virtual crossmatch resulting in a compatible T-cell CDC-AHG crossmatch) was 92%. When used in a cohort of 28 sensitized patients awaiting heart transplantation, 14 received allografts based on a compatible virtual crossmatch alone from donors in geographically distant locations. Compared with the other 14 sensitized patients who underwent transplant after a compatible prospective serologic crossmatch, the rejection rates and survival were similar.
Conclusion: Our findings are evidence of the accuracy of virtual crossmatch and its utility in augmenting the opportunities for transplantation of sensitized patients. J Heart Lung Transplant 2009;28:1129-34.