BackgroundActinobacillus succinogenes is a promising bacterial catalyst for the bioproduction of succinic acid from low-cost raw materials. In this work, a genome-scale metabolic model was reconstructed and used to assess the metabolic capabilities of this microorganism under producing conditions.ResultsThe model, iBP722, was reconstructed based on the functional reannotation of the complete genome sequence of A. succinogenes 130Z and manual inspection of metabolic pathways, covering 1072 enzymatic reactions associated with 722 metabolic genes that involve 713 metabolites. The highly curated model was effective in capturing the growth of A. succinogenes on various carbon sources, as well as the SA production under various growth conditions with fair agreement between experimental and predicted data. Calculated flux distributions under different conditions show that a number of metabolic pathways are affected by the activity of some metabolic enzymes at key nodes in metabolism, including the transport mechanism of carbon sources and the ability to fix carbon dioxide.ConclusionsThe established genome-scale metabolic model can be used for model-driven strain design and medium alteration to improve succinic acid yields.Electronic supplementary materialThe online version of this article (10.1186/s12918-018-0585-7) contains supplementary material, which is available to authorized users.
Primary spontaneous pneumothorax is a common abnormality for which there is a variety of treatments. This study presents the results of a year's evaluation of a clinical pathway (CP). A series of 34 patients treated during 1 year before CP development was analyzed to identify the weak points. To address these weak points, the CP includes associated protocols. In the CP, 31 patients were evaluated during 1 year; the results were compared with those of the pre-CP series. The mean length of stay of the pre-CP patients and the CP patients was 7.3 days and 5.0 days, respectively. The number of radiographs fell from 4.3 to 3.2. The rate of complications and readmissions is similar in both groups. The mean cost per process dropped from 1863 [UNKNOWN] to 1168 [UNKNOWN]. The CP for pneumothorax successfully manages to reduce both the variability in care patterns and hospital costs, justifying the work involved in its development and implementation.
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