Elevated pancreatic β-cell cholesterol levels impair insulin secretion and reduce plasma insulin levels. This study establishes that low plasma insulin levels have a detrimental effect on two major insulin target tissues: adipose tissue and skeletal muscle. Mice with increased β-cell cholesterol levels were generated by conditional deletion of the ATP-binding cassette transporters, ABCA1 and ABCG1, in β-cells (β-DKO mice). Insulin secretion was impaired in these mice under basal and high-glucose conditions, and glucose disposal was shifted from skeletal muscle to adipose tissue. The β-DKO mice also had increased body fat and adipose tissue macrophage content, elevated plasma interleukin-6 and MCP-1 levels, and decreased skeletal muscle mass. They were not, however, insulin resistant. The adipose tissue expansion and reduced skeletal muscle mass, but not the systemic inflammation or increased adipose tissue macrophage content, were reversed when plasma insulin levels were normalized by insulin supplementation. These studies identify a mechanism by which perturbation of β-cell cholesterol homeostasis and impaired insulin secretion increase adiposity, reduce skeletal muscle mass, and cause systemic inflammation. They further identify β-cell dysfunction as a potential therapeutic target in people at increased risk of developing type 2 diabetes.

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Abstract. Renin is the rate limiting enzyme in the reninangiotensin (RA) system that regulates blood pressure and electrolyte balance. In this study, we investigated the renin inhibitory effect of a royal jelly (RJ)-derived peptide. A dipeptide YY was isolated from the digested fraction of RJ proteins by proteases and was found to inhibit human renin activity. The inhibition constant (K i ) of YY was estimated to be 10 μM when the K m was 0.16 μM using sheep angiotensinogen as the substrate. The peptide was observed to lower blood pressure in spontaneously hypertensive rats.

The prevalence and nature of reported behaviour impairments in rural Bangladesh have implications for public health planning and delivery of health services.

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Mosquito larval ecology is prerequisite for determining the larval abundance and species assemblage in mosquito control program. The study explored the association of five mosquito species with their breeding habitat diversity and species distribution in three selected parks from May to October, 2015. A total of 3217 mosquito larvae were reported from six breeding habitats, namely tree hole, leaf axils, water bottle, tire, drain and coconut shell. The frequency of the three species (Ae. aegypti, Ae. albopictus and Ar. subalbatus) coexistence was higher in tree holes (82.4%) than that of the other coexisting species. Pearson Chi-square result revealed that the association of species was significantly dependent on the breeding habitats. ANOVA further suggested that mosquito density varied across habitats where among the highest density of Cx. quinquefasciatus (3.87 ± 0.22) found in drain, followed by both Ae. albopictus (2.02 ± 0.17) and Ar. subalbatus (0.50 ± 0.09) in tree holes and Ae. aegypti (1.25 ± 0.23) in coconut shell. Cx. tritaeniorhynchus occurred in drain with the least observed density (0.03 ± 0.01). CCA results suggested that Aedes species were likely preferred to oviposit in shaded habitats where pH was associated with Ae. albopictus and dissolved oxygen was with Ae. aegypti and Ar. subalbatus. Culex species were positively associated with the habitats characterizing muddy bottom and emerging vegetation but not with any of the physico-chemical parameters. These findings concluded that ecological factors influence mosquito species to favor their breeding habitats can be helpful in controlling targeted vector species as well as the mosquito borne diseases.

Drying fruits and vegetables is a procedure of food preservation with simultaneous heat, mass, and momentum transfer, which increases the shelf life of the food product. The aim of this review was to provide an overview of the researches on mathematical modeling for drying of fruits and vegetables with the special emphasis on the computational approach. Various heat-mass transport models, their applications, and modern drying technologies to the food industry have been reported in this study. Computational fluid dynamics, a new approach for solving heat and mass transfer problems, increases the accuracy of the predicted values. To investigate the parameters of drying needs a significant amount of time as well as costly laboratory and experimental efforts. Therefore, computational modeling could be an effective alternative to experimental approaches. This review will be beneficial for future studies in drying processes, especially for modeling, analysis, design, and optimization of food science and food engineering.