Hydrolysis of maltose by Taka-amylase A

The patterns of Non-communicable disease Multimorbidity in Iran: A Multilevel Analysis

The prevalence of non-communicable diseases is increasing worldwide. Multimorbidity and long-term medical conditions is common among these patients. This study aimed to investigate the patterns of non-communicable disease multimorbidity and their risk factors at the individual and aggregated level. Data was inquired from the nationwide survey performed in 2011, according to the WHO stepwise approach on NCD risk factors. A latent class analysis on multimorbidity components (11 chronic diseases) was performed and the association of some individual and aggregated risk factors (urbanization) with the latent subclasses was accessed using multilevel multinomial logistic regression. Latent class analysis revealed four distinct subclasses of multimorbidity among the Iranian population (10069 participants). Musculoskeletal diseases and asthma classes were seen in both genders. In males, the odds of membership in the diabetes class was 41% less by increasing physical activity; but with increased BMI, the odds of membership in the diabetes class was 1.90 times higher. Tobacco smoking increased the odds of membership in the musculoskeletal diseases class, 1.37 and 2.30 times for males and females, respectively. Increased BMI and low education increased the chances of females' membership in all subclasses of multimorbidity. At the province level, with increase in urbanization, the odds of membership in the diabetes class was 1.28 times higher among males (P = 0.027). Increased age, higher BMI, tobacco smoking and low education are the most important risk factors associated with NCD multimorbidity among Iranians. Interventions and policies should be implemented to control these risk factors.

Multimolecular substrate reactions catalyzed by caabohydrases. Aspergillus oryzae alpha-amylase degradation of maltooligosaccharides

Aspergillus oryzae alpha-amylase degrades maltooligosaccharides by other pathways besides simple glycosidic bond scission. The utilization of the alternate pathways increases with the concentration of substrate implicating a multimolecular substrate mechanism. Reducing-end labeled and uniformly labeled maltooligosaccharides were used to elucidate these alternate degradation mechanisms. Condensation followed by hydrolysis is not a significant pathway. Transglycosylation is concluded to occur, but no single transglycosylation mechanism can account for all of the experimental data for maltotriose degradation. Rather, a combination of transglycosylations must be invoked.

Subsite mapping of enzymes. Application of the depolymerase computer model to two alpha-amylases

In the preceding paper (Allen and Thoma, 1976) we developed a depolymerase computer model, which uses a minimization routine to establish a subsite map for a depolymerase. In the present paper we show how the model is applied to experimental data for two alpha-amylases. Michaelis parameters and bond-cleavage frequencies for substrates of chain lengths up to twelve glucosyl units have been reported for Bacillus amyloliquefaciens, and a subsite map has been proposed for this enzyme [Thoma et al. (1971) J. Biol. Chem. 246, 5621-5635]. By applying the computer model to the experimental data, we have arrived at a ten-subsite map. We find that a significant improvement in this map is achieved by allowing the hydrolytic rate coefficient to vary as a function of the number of occupied subsites comprising the enzyme-binding region. The bond-cleavage frequencies, the enzyme is found to have eight subsites. A partial subsite map is arrived at, but the entire binding region cannot be mapped because Michaelis parameters are complicated by transglycosylation reactions. The hydrolytic rate coefficients for this enzyme are not constant.