257 research outputs found

    Adjusting bone mass for differences in projected bone area and other confounding variables: an allometric perspective.

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    The traditional method of assessing bone mineral density (BMD; given by bone mineral content [BMC] divided by projected bone area [Ap], BMD = BMC/Ap) has come under strong criticism by various authors. Their criticism being that the projected bone "area" (Ap) will systematically underestimate the skeletal bone "volume" of taller subjects. To reduce the confounding effects of bone size, an alternative ratio has been proposed called bone mineral apparent density [BMAD = BMC/(Ap)3/2]. However, bone size is not the only confounding variable associated with BMC. Others include age, sex, body size, and maturation. To assess the dimensional relationship between BMC and projected bone area, independent of other confounding variables, we proposed and fitted a proportional allometric model to the BMC data of the L2-L4 vertebrae from a previously published study. The projected bone area exponents were greater than unity for both boys (1.43) and girls (1.02), but only the boy's fitted exponent was not different from that predicted by geometric similarity (1.5). Based on these exponents, it is not clear whether bone mass acquisition increases in proportion to the projected bone area (Ap) or an estimate of projected bone volume (Ap)3/2. However, by adopting the proposed methods, the analysis will automatically adjust BMC for differences in projected bone size and other confounding variables for the particular population being studied. Hence, the necessity to speculate as to the theoretical value of the exponent of Ap, although interesting, becomes redundant

    Staphylococcus aureus sigma B-dependent emergence of small-colony variants and biofilm production following exposure to Pseudomonas aeruginosa 4-hydroxy-2-heptylquinoline-N-oxide

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    <p>Abstract</p> <p>Background</p> <p><it>Staphylococcus aureus </it>and <it>Pseudomonas aeruginosa </it>are often found together in the airways of cystic fibrosis (CF) patients. It was previously shown that the <it>P. aeruginosa </it>exoproduct 4-hydroxy-2-heptylquinoline-<it>N-</it>oxide (HQNO) suppresses the growth of <it>S. aureus </it>and provokes the emergence of small-colony variants (SCVs). The presence of <it>S. aureus </it>SCVs as well as biofilms have both been associated with chronic infections in CF.</p> <p>Results</p> <p>We demonstrated that HQNO stimulates <it>S. aureus </it>to form a biofilm in association with the formation of SCVs. The emergence of SCVs and biofilm production under HQNO exposure was shown to be dependent on the activity of the stress- and colonization-related alternative sigma factor B (SigB). Analysis of gene expression revealed that exposure of a prototypical <it>S. aureus </it>strain to HQNO activates SigB, which was leading to an increase in the expression of the fibronectin-binding protein A and the biofilm-associated <it>sarA </it>genes. Conversely, the quorum sensing accessory gene regulator (<it>agr</it>) system and the α-hemolysin gene were repressed by HQNO. Experiments using culture supernatants from <it>P. aeruginosa </it>PAO1 and a double chamber co-culture model confirmed that <it>P. aeruginosa </it>stimulates biofilm formation and activates SigB in a <it>S. aureus </it>strain isolated from a CF patient. Furthermore, the supernatant from <it>P. aeruginosa </it>mutants unable to produce HQNO induced the production of biofilms by <it>S. aureus </it>to a lesser extent than the wild-type strain only in a <it>S. aureus </it>SigB-functional background.</p> <p>Conclusions</p> <p>These results suggest that <it>S. aureus </it>responds to HQNO from <it>P. aeruginosa </it>by forming SCVs and biofilms through SigB activation, a phenomenon that may contribute to the establishment of chronic infections in CF patients.</p

    Metabolomics identifies placental dysfunction and confirms Flt-1 (FMS-like tyrosine kinase receptor 1) biomarker specificity

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    Clinical end-stage parameters define the pregnancy disorders preeclampsia and fetal growth restriction while classification of the underlying placental dysfunction is missing and urgently needed. Flt-1 (FMS-like tyrosine kinase receptor 1) is the most promising placenta-derived predictive biomarker for preeclampsia. We aimed to classify placental dysfunction in preeclampsia and fetal growth restriction at delivery by metabolic profiling and authenticate the biomarker Flt-1 for placental dysfunction. We studied 143 pregnancies with or without preeclampsia and/or fetal growth restriction delivered by cesarean section. Metabolic placenta profiles were created by high-resolution magic angle spinning nuclear magnetic resonance spectroscopy and the resulting placental phenotypes obtained by hierarchical clustering. Placental Flt-1 expression (membrane-bound and soluble isoforms combined) and maternal serum Flt-1 expression (soluble isoforms) were analyzed by immunohistochemistry and ELISA, respectively. We identified 3 distinct placenta groups by 21 metabolites and diagnostic outcome parameters; normal placentas, moderate placental dysfunction, and severe placental dysfunction. Increased placental Flt-1 was associated with severe placental dysfunction, and increased serum Flt-1 was associated with moderate and severe placental dysfunction. The preeclamptic pregnancies with and without placental dysfunction could be distinguished by 5 metabolites and placental Flt-1. Placental Flt-1 alone could separate normal pregnancies with and without placental dysfunction. In conclusion, metabolomics could classify placental dysfunction and provide information not identified by traditional diagnostics and metabolites with biomarker potential were identified. Flt-1 was confirmed as precision biomarker for placental dysfunction, substantiating its usefulness for identification of high-risk pregnancies for preeclampsia and fetal growth restriction with placental involvement.acceptedVersio

    Growing Rural Youth Agribusiness in Kenya: Stories And Best Practices Of The Vijabiz Project

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    Youth constitute about 30% of the Kenyan population and 60% of the total labour force, with 1 million youth entering the labour market each year. The 2013 UNDP Kenya’s Youth Employment Challenge report revealed that 64% of unemployed Kenyans were youth, which is a critical concern for the country. As the backbone of Kenya’s economy, agriculture accounts for 65% of the nation’s annual exports and contributes 24% to gross domestic product. Youth agribusinesses are facing many challenges to grow; an issue the Vijabiz project set out to address. Vijabiz – the Youth Economic Empowerment through Agribusiness project – has been implemented by the Technical Centre for Agricultural and Rural Cooperation (CTA) and USTADI, with main funding provided by the International Fund for Agricultural Development (IFAD)
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