Classification of dengue using the current World Health Organization (WHO) system is not straightforward. In a large prospective study of pediatric dengue, no clinical or basic laboratory parameters clearly differentiated between children with and without dengue, although petechiae and hepatomegaly were independently associated with the diagnosis. Among the 712 dengue-infected children there was considerable overlap in the major clinical features. Mucosal bleeding was observed with equal frequency in those with dengue fever and dengue hemorrhagic fever (DHF), and petechiae, thrombocytopenia, and the tourniquet test differentiated poorly between the two diagnostic categories. Fifty-seven (18%) of 310 with shock did not fulfill all four criteria considered necessary for a diagnosis of DHF by the WHO, but use of the WHO provisional classification scheme resulted in considerable over-inflation of the DHF figures. If two separate entities truly exist rather than a continuous spectrum of disease, it is essential that some measure of capillary leak is included in any classification system, with less emphasis on bleeding and a specific platelet count.
Metabolic products obtaining from microorganisms of geothermal ecologies often show special characteristics which help their cells to survive, grow and develop under extreme conditions. Exploiting the microbial gene resource of those environments demands a new approach via uncultured methods. Thanks to the development of metagenomics and bioinformatic softwares, we can exploit novel genes from environment directly. Based on Binh Chau hotspring’s DNA metagenome sequencing, ORF [denovogenes]_32768 encoding for β-glucosidase is selected for expression into pET17b vector because it shown a low similartity of amino acid sequence as compared to others in Genbank, a high alkali and Tm predicted values. To improve the expression efficiency of β-glucosidase, some factors (host strains, medium culture, IPTG concentration, aeration…) are investigated. The results showed that the recombinant E. coli C43(DE3) reached the highest dried biomass at 8.26 g/L and the maximum enzymatic activity at 0.34 U/mL in shaking condition (TB medium plus 0.25 mM IPTG with the ratio of cultured /flask volume is 20%, 42-48 hours, 30°C). This study demonstrates the capacity of mining a novel gene encoded for enzyme from DNA metagenome of Vietnam hot spring as well as produces recombinant enzyme for biomass conversion.
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