Modulation of kernel storage proteins in grain sorghum (Sorghum bicolor (L.) Moench).

Sorghum prolamins, termed kafirins, are categorized into subgroups α, ß, and γ. The kafirins are co-translationally translocated to the endoplasmic reticulum (ER) where they are assembled into discrete protein bodies that tend to be poorly digestible with low functionality in food and feed applications. As a means to address the issues surrounding functionality and digestibility in sorghum, we employed a biotechnology approach that is designed to alter protein body structure, with the concomitant synthesis of a co-protein in the endosperm fraction of the grain. Wherein perturbation of protein body architecture may provide a route to impact digestibility by reducing disulphide bonds about the periphery of the body, while synthesis of a co-protein, with known functionality attributes, theoretically could impact structure of the protein body through direct association and/or augment end-use applications of sorghum flour by stabilizing ß-sheet formation of the kafirins in sorghum dough preparations. This in turn may improve viscoelasticity of sorghum dough. To this end, we report here on the molecular and phenotypic characterizations of transgenic sorghum events that are down-regulated in γ- and the 29-kDa α-kafirins and the expression of a wheat Dy10/Dx 5 hybrid high-molecular weight glutenin protein. The results demonstrate that down-regulation of γ-kafirin alone does not alter protein body formation or impacts protein digestibility of cooked flour samples. However, reduction in accumulation of a predicted 29-kDa α-kafirin alters the morphology of protein body and enhances protein digestibility in both raw and cooked samples.

Prevalence and determinants of geriatric depression in North India: A cross-sectional study.

CONTEXT: "Aging India" has become a phenomenon of public health importance. Old age is beset with physical, mental, and social challenges. Among these, mental health concerns are least prioritized in most of the developing countries with depression being the most common and easy to screen. AIMS: To assess the burden of geriatric depression and determine its association with sociodemographic factors such as religion, age, gender, education, marital status, and family type. SETTINGS AND DESIGN: A cross-sectional study was conducted in July-August 2018 in village Kirpind in north India. METHODOLOGY: 162 subjects aged 60 years or more, both males and females participated in the study. Depression was assessed using the 15-item Geriatric Depression Scale and those with a GDS score >=5 were categorized as depressed. STATISTICAL ANALYSIS USED: Pearson's Chi-square test and binary logistic regression were used for analysis. RESULTS: Nearly 59.3% of subjects had no depression, 33.9% were suffering from mild to moderate depression whereas 6.8% were severely depressed. The mean age of subjects was 69 (±7.4) years. Chi-square test was used to study the association of various factors with depression and only female gender showed a positive statistical association. On using binary logistic regression analysis, being female again emerged to be a significant predictor of depression while no other factor was significantly associated with the outcome. CONCLUSIONS: There is a need to sensitize primary care workers and physicians to identify and manage geriatric depression early. It also points towards the need for multicentric, longitudinal studies evaluating various aspects of geriatric depression.

A review on various electrochemical techniques for heavy metal ions detection with different sensing platforms.

Heavy metal ions are non-biodegradable and contaminate most of the natural resources occurring in the environment including water. Some of the heavy metals including Lead (Pb), Mercury (Hg), Arsenic (As), Chromium (Cr) and Cadmium (Cd) are considered to be highly toxic and hazardous to human health even at trace levels. This leads to the requirement of fast, accurate and reliable techniques for the detection of heavy metal ions. This review presents various electrochemical detection techniques for heavy metal ions those are user friendly, low cost, provides on-site and real time monitoring as compared to other spectroscopic and optical techniques. The categorization of different electrochemical techniques is done on the basis of different types of detection signals generated due to presence of heavy metal ions in the solution matrix like current, potential, conductivity, electrochemical impedance, and electrochemiluminescence. Also, the recent trends in electrochemical detection of heavy metal ions with various types of sensing platforms including metals, metal films, metal oxides, nanomaterials, carbon nano tubes, polymers, microspheres and biomaterials have been evoked.