7 research outputs found

    Genetic variability of Chlamydophila abortus strains assessed by PCR-RFLP analysis of polymorphic membrane protein-encoding genes

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    This study used PCR-RFLP to investigate the genetic variability of pmp-encoding genes from fifty-two Chlamydophila abortus (C. abortus) strains originating from abortion cases from various geographical regions and host species. Six primer pairs were used to PCR-amplify DNA fragments encoding eighteen pmps. PCR products were digested using four restriction endonucleases and Bayesian methodologies were used to compare RFLP profiles and assign strains to a RFLP genotype. Strains could be assigned to 2 genotypes in the region encoding pmp18D, 3 genotypes in the regions encoding pmp1A-pmp2B, pmp3E-pmp6H and pmp11G-pmp15G, 4 genotypes in the region encoding pmp7G-pmp10G and 5 genotypes in the region encoding pmp16G-pmp17G. In all regions, the majority of strains (88.4-96.1%) had the same genotype as the reference strain S26/3. No correlation could be made between genotype, host species or geographical origin except for the two variant Greek strains, LLG and POS, which formed a discrete genotype in all pmp-encoding regions except pmp18D. Relative rates of evolution calculated for each pmp-encoding gene locus suggest that differing selective pressures and functional constraints may exist on C. abortus polymorphic membrane proteins. These findings suggest that although intraspecies heterogeneity of pmp-encoding genes in C. abortus is low, the sequence heterogeneity should be an important consideration when using pmps as the basis for novel diagnostics or vaccine development

    Body weight, body image and primary postpartum haemorrhage:a review of the literature

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    The prevalence of obesity during pregnancy is rising. Elevated BMI is a significant risk factor for adverse maternal and fetal outcomes, including primary postpartum haemorrhage (PPH). Addressing the issues surrounding obesity in pregnancy presents many biological, social and psychological challenges. BMI is an easily measured and modifiable anthropometrical risk factor and should be recorded in all pregnancies. BMI should be proactively managed prior to and during pregnancy. All women should be educated as to the risks of an elevated BMI during pregnancy and those at risk should have access to specialist medical and surgical support if required. Our aim was to investigate the associations between elevated BMI and adverse maternal and fetal outcomes including PPH, and to explore the psychological challenges of having an elevated BMI during pregnancy
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