High initial IgG antibody levels against Orientia tsutsugamushi are associated with an increased risk of severe scrub typhus infection

BackgroundScrub typhus is a dominant cause of febrile illness in many parts of Asia. Immunity is limited by the great strain diversity of Orientia tsutsugamushi. It is unclear whether previous infection protects from severe infection or enhances the risk.Methods/principal findingsWe studied IgG antibody levels against O. tsutsugamushi at presentation in 636 scrub typhus patients using enzyme-linked immunosorbent assays (ELISA). The association between ELISA optical density (OD) and risk of severe infection was modelled using Poisson regression. OD was categorised as low (<1.0), intermediate (1.0 to 2.9), and high (≥3.0). OD was also modelled as a continuous variable (cubic spline). Median age of cases was 41 years (range 0–85), with 37% having severe infection. Compared to the low category, the age-adjusted risk of severe infection was 1.5 times higher in the intermediate category (95%CI 1.2, 1.9), and 1.3 times higher in the high category (95%CI 1.0, 1.7). The effect was stronger in cases <40 years, doubling the risk in the intermediate and high categories compared to the low category. The effect was more pronounced in cases tested within 7 days of fever onset when IgG ODs are more likely to reflect pre-infection levels.Conclusions/SignificanceIntermediate and high IgG antibody levels at the time of diagnosis are associated with a higher risk of severe scrub typhus infection. The findings may be explained by severe infection eliciting an accelerated IgG response or by previous scrub typhus infection enhancing the severity of subsequent episodes.     

Atomic force microscopy-based cancer diagnosis by detecting cancer-specific biomolecules and cells

Atomic force microscopy (AFM) has recently attracted much attention due to its ability to analyze biomolecular interactions and to detect certain biomolecules, which play a crucial role in disease expression. Despite recent studies reporting AFM imaging for the analyses of biomolecules, the application of AFM-based cancer-specific biomolecule/cell detection has remained largely underexplored, especially for the early diagnosis of cancer. In this paper, we review the recent attempts, including our efforts, to analyze and detect cancer-specific biomolecules and cancer cells. We particularly focus on two AFM-based cancer diagnosis techniques: (i) AFM imaging-based biomolecular and cellular detection, (ii) AFM cantilever-based biomolecular sensing and cell analysis. It is shown that AFM-based biomolecular detection has been applied for not only early diagnosing cancer, by measuring the minute amount of cancer-specific proteins, but also monitoring of cancer progression, by correlating the amount of cancer-specific proteins with the progression of cancer. In addition, AFM-based cell imaging and detection have been employed for diagnosing cancer, by detecting cancerous cells in tissue, as well as understanding cancer progression, by characterizing the dynamics of cancer cells. This review, therefore, highlights AFM-based biomolecule/cell detection, which will pave the way for developing a fast and point-of-care diagnostic system for biomedical applications.     

Response surface methodology for the optimization of <Emphasis Type="Italic">α</Emphasis>-amylase production by <Emphasis Type="Italic">Streptomyces</Emphasis> sp. ML12 using agricultural byproducts

Amylases constitute one of the most important groups of enzymes for commercial use. In the present study, production of α-amylase was optimized using a newly isolated actinobacterial strain from the coral reef environment of the Gulf of Mannar Biosphere Reserve, India. It was identified as Streptomyces sp. ML12 based on chemotaxonomy, cultural and morphological characteristics, carbon source utilization and 16S rRNA gene sequencing. Fermentation variables were selected in accordance with the Plackett-Burman design and were optimized by response surface methodology. Five significant variables (rice bran and wheat bran — both agricultural byproducts, sodium chloride, magnesium sulphate and incubation period) were selected for the optimization via central composite design. The optimal features were rice bran (5.5 g/100 mL), wheat bran (5.3 g/100 mL), sodium chloride (2.8 g/100 mL), magnesium sulphate (1.4 g/100 mL) and 8 days of incubation period. Optimization of the medium with the above tested features increased the amylase yield by 4.4-fold.     

Effect of temperature and concentration on rheological behavior of xanthan-carob mixed gels

The gelation and melting behavior of 1∶1, 1∶3 xanthan-carob mixed gels were evaluated at isothermal and non-isothermal states, as a function of total polymer concentrations of 0.1, 0.5 and 1%. A thermal hysteresis was observed between gelation and melting. The higher the polymer concentration, the higher the melting temperature. The gelation points were determined by three criteria. Depending on the criterion used the gelation temperature was different (52 to 70°C). Pseudoequilibrium modulus and elastic active network chain (EANC) concentration were calculated from the plateau modulus in the frequency spectrum. Temperature dependence of the monomeric friction coefficient was estimated from the relaxation time and EANC. Time-temperature superposition theory was not applicable due to dramatic phase transitions occurring during the gelation of X/C mixture.