18 research outputs found

    Specific polyclonal antibodies for the obligate plant parasite Polymyxa - a targeted recombinant DNA approach

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    Highly specific rabbit polyclonal antibodies for the obligate sugar-beet root parasite, Polymyxa betae, were produced using a novel recombinant DNA approach. Parasite cDNA was selectively isolated from infected roots, expressed in vitro, and the purified protein used to raise antibodies. This produced clean, precisely targeted antibodies, and allowed for rigorous screening of candidate genes and their products at the molecular level prior to animal immunization. This approach selects for genes whose products are highly expressed by the parasite in planta, and five such candidate genes from Polymyxa betae were identified and cloned. Polyclonal antiserum developed using the product of one such gene was found to react specifically with P. betae in sugar-beet roots and with the closely related Polymyxa graminis in barley roots, and to cross-react with Plasmodiophora brassicae in cabbage roots, without the need for further purification. No cross-reaction was detected with protein extracts from potato roots infected by the plasmodiophoromycete Spongospora subterranea. In all cases, there was no interaction with proteins from host plants, or from other microorganisms found in association with uninoculated sugar-beet, barley, cabbage and potato rootsPeer reviewe

    Predicting serious complications in patients with cancer and pulmonary embolism using decision tree modelling: the EPIPHANY Index

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    Our objective was to develop a prognostic stratification tool that enables patients with cancer and pulmonary embolism (PE), whether incidental or symptomatic, to be classified according to the risk of serious complications within 15 days. The sample comprised cases from a national registry of pulmonary thromboembolism in patients with cancer (1075 patients from 14 Spanish centres). Diagnosis was incidental in 53.5% of the events in this registry. The Exhaustive CHAID analysis was applied with 10-fold cross-validation to predict development of serious complications following PE diagnosis. About 208 patients (19.3%, 95% confidence interval (CI), 17.1-21.8%) developed a serious complication after PE diagnosis. The 15-day mortality rate was 10.1%, (95% CI, 8.4-12.1%). The decision tree detected six explanatory covariates: Hestia-like clinical decision rule (any risk criterion present vs none), Eastern Cooperative Group performance scale (ECOG-PS; We have developed and internally validated a prognostic index to predict serious complications with the potential to impact decision-making in patients with cancer and PE
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