Study of serum magnesium levels and its correlation with glycemic status in type II diabetes patients

Magnesium is most important and vital element of body. It needs to be supplemented adequately. It plays a vital role in insulin secretion, insulin binding and homeostasis. When Serum Magnesium is adequate, the glycemic control is better and HbA1c values will fall, thus proving that serum magnesium plays a major role in glycemic control. It is now established that diabetes can by itself induce hypomagnesemia and hypomagnesemia can in turn induce onset or worsen diabetes mellitus.: A cross-sectional study was conducted in 48 diagnosed cases of type II diabetes mellitus. This study was planned to study if any correlation exists between the level of Serum Magnesium and HbA1C in diagnosed Type II diabetics.: The correlation between the two parameters was not found to be statistically significant.: Owing to COVID-19 restrictions history regarding the duration of disease, the dietary history of the participants could not be obtained : Serum magnesium does not bear a constant relationship with the diabetic control according to the findings of the current study and detailed studies including multi-parametric analysis along with duration of diabetes is required.

Predominancyof Coping Styles in Patients with Type II Diabetes in Low Socio Economic Status Groups

Background: Coping style is a person’s characteristic strategies used in response to life problems or traumas. Coping serves a protective function .This study aims to examine the impact of coping styles predominance in the training programme given to patients with type II diabetes of low socioeconomic status group.30 patients with type II diabetes of low socioeconomic status group were selected using purposive sampling from the diabetic clinic for the assessment of coping style. Coping style was assessed using “Coping styles of adults with Type 1 and Type 2 diabetes” by Karlsen and Bru (1998). Paired t-test was used to assess the effectiveness of coping styles enhancement training programme for patients with type II diabetes. The study revealed that there is significant increase in the level of coping styles of patients with type II diabetes due to coping styles enhancement training programme.

Multi-Block Data Integration Analysis for Identifying and Validating Targeted N-Glycans as Biomarkers for Type II Diabetes Mellitus

Plasma N-glycan profiles have been shown to be defective in type II diabetes Mellitus (T2DM) and holds a promise to discovering biomarkers. The study comprised 232 T2DM patients and 219 healthy individuals. N-glycans were analysed by high-performance liquid chromatography. Principal component analysis (PCA), discriminatory analysis and agglomerative hierarchical cluster analysis (HCA) were performed. N-glycan groups (GPs 34, 32, 26, 31, 36 and 30) were significantly expressed in T2DM in component 1 and GPs 38 and 20 were related to T2DM in component 2. Four clusters based on the correlation of the expressive signatures of the 39 N-glycans across T2DM and controls. Cluster A, B, C and D had 16, 16, 4 and 3 N-glycans respectively, of which 11, 8, 1 and 1 were found to express differently between controls and T2DM in a univariate analysis P. Multi-block analysis revealed that trigalactosylated (G3), triantennary (TRIA), high branching (HB) and trisialylated (S3) expressed significantly highly in T2DM than healthy controls. A bipartite relevance network revealed that HB, monogalactosylated (G1) and G3 were central in the network and observed more connections, highlighting their importance in discriminating between T2DM and healthy controls. Investigation of these N-glycans can enhance the understanding of T2DM.

Challenges and Strategies in Developing an Enzymatic Wearable Sweat Glucose Biosensor as a Practical Point-Of-Care Monitoring Tool for Type II Diabetes

Recently, several studies have been conducted on wearable biosensors. Despite being skin-adhesive and mountable diagnostic devices, flexible biosensor patches cannot truly be considered wearable biosensors if they need to be connected to external instruments/processors to provide meaningful data/readings. A realistic and usable wearable biosensor should be self-contained, with a fully integrated device framework carefully designed and configured to provide reliable and intelligent diagnostics. There are several major challenges to achieving continuous sweat monitoring in real time for the systematic and effective management of type II diabetes (e.g., prevention, screening, monitoring, and treatment) through wearable sweat glucose biosensors. Consequently, further in-depth research regarding the exact interrelationship between active or passive sweat glucose and blood glucose is required to assess the applicability of wearable glucose biosensors in functional health monitoring. This review provides some useful insights that can enable effective critical studies of these unresolved issues. In this review, we first classify wearable glucose biosensors based on their signal transduction, their respective challenges, and the advanced strategies required to overcome them. Subsequently, the challenges and limitations of enzymatic and non-enzymatic wearable glucose biosensors are discussed and compared. Ten basic criteria to be considered and fulfilled in the development of a suitable, workable, and wearable sweat-based glucose biosensor are listed, based on scientific reports from the last five years. We conclude with our outlook for the controllable, well-defined, and non-invasive monitoring of epidermal glucose for maximum diagnostic potential in the effective management of type II diabetes.

Intellectual decline in patients with schizophrenia with comorbid type ii diabetes mellitus and alcoholism

Comorbid conditions in general psychopathological practice need equally research in the field of psychiatry and narcology, as well as the development of issues of social practice in relation to mental patients. There is an opinion that comorbid mental pathologies are even more common than “pure” forms of diseases. In most cases of comorbid conditions, the medical community increasingly encounters clinical situations where “classic” symptoms and syndromes are deformed, mutually intertwined and, superimposed on the actual social situation of the patient, acquire an “unreal fancy character”.Schizophrenia remains one of the most urgent problems at the stage of modern psychiatry formation. Up to date there are 1.1% of men and 1.9% of women in the general population of patients. Schizophrenic spectrum disorders are often combined with a number of chronic pathologies that increase the negative impact on the neuro-cognitive sphere of a person. One of the main problems of modern urbanized society is type II diabetes and alcoholism. By increasing the negative impact on a person’s cognitive abilities, they accelerate the process of disintegration of personality and its social functioning. The intellectual level of patients with those chronic diseases that require patients to actively and consciously participate in the treatment process and social functioning can significantly affect the patient’s ability to learn, independently manage the disease, establish a high level of compliance and, as a result, the effectiveness of therapy. An attentive study of the issue of the state of intelligence of patients with comorbid pathology will lead to an improvement in the patient’s social adaptation, a more careful attitude to their somatic health and reduce the risk of disability of the able-bodied population.

Identification of depressive sympotomatology in people with type II Diabetes

The aim of this work it's the identification of depressive symptomatology in people with type II diabetes. Among the literature, associations have been found between both, even considering depression as a possible risk identifier for developing Diabetes Mellitus. Due to this need to identify factors that affect depressive symptomatology in the population with diabetes, we sought to develop a classification model to determine which factors affect the aggravation of this psychological problem, and subsequently confirm these results using logistic regression models and cross-validation. A non-experimental cross-sectional research design was used. Using a non-probabilistic sampling by convenience, we worked with 200 people and found various factors that influenced depressive symptomatology in people with diabetes, according to the degree of depression, with negative attitudes towards oneself being a decisive factor in establishing the type of diagnosis. In this sense, for "Normal" depressive symptomatology, the most important factor was Impairment of performance; for "Mild" symptomatology, somatic alterations were observed; for "Moderate" symptomatology, sleep disturbances; and for "Severe" depressive symptomatology, the most notable somatic alterations were observed. It is argued the need to establish filters between "Normal" depressive symptomatology and those that could be an obstacle to achieve good adherence to treatment, considering contextual and biological aspects, the last in terms of brain activation.

Development of functional caramel using system packages MathLab

The article presents substantiation for expanding the market for functional food products, in particular, confectionery - caramel. Proper nutrition is an integral part of a modern person diet; due to their properties, they increase the immunity and immune status of a person. The aim of the work is to create composite mixtures for sugar-free caramel using modern software. The studies were carried out using the MathLab software package, in particular the Statistica 10.0 software. A methodology for creating recipes using system packages has been developed. To enrich the caramel, the following components were selected: apple juice, coltsfoot extract, orange juice, mint and burdock extract, cranberry and lingonberry juices. An optimal recipe has been designed and equations are presented for calculating the dosages of the components of the enriched sugar-free caramel based on a natural sweetener isomalt with the addition of plant-based additives containing macro and micronutrients necessary for the normal functioning of the human body with a diagnosis of type II diabetes mellitus.

Inhibition of the formation of lysozyme fibrillar assemblies by the isoquinoline alkaloid coralyne

Protein aggregation into oligomeric and fibrillar species are the hallmark of many degenerative diseases like Alzheimer’s and prion diseases, as well as type II diabetes. Compounds that can modulate protein...