scholarly journals Ganoderma applanatum mushroom provides new insights into the management of diabetes mellitus, hyperlipidemia, and hepatic degeneration: A comprehensive analysis

2021 ◽  
Author(s):  
Mohammad Shahadat Hossain ◽  
Anik Barua ◽  
Mohammad Akramul Hoque Tanim ◽  
Mohammad Sharif Hasan ◽  
Mohammad Jahedul Islam ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Comprehensive Analysis ◽  
Ganoderma Applanatum

scholarly journals Parameters of metabolism and hemostasis in patients with type 1 diabetes mellitus and microgiopathy of different severity

2010 ◽  
Vol 13 (2) ◽  
pp. 75-80
Author(s):  
Galina Georgievna Petrik ◽  
Svetlana Anatol'evna Pavlishchuk
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Pathological Process ◽  
Comprehensive Analysis ◽  
Platelet Volume ◽  
Aggregation Activity ◽  
Lipid Spectrum ◽  
Altered Lipid

Aim. To identify risk factors of macro-microvascular lesions at different stages of pathological process in patients with type 1 diabetes mellitus andmicrogiopathy of different severity. Materials and methods. Comprehensive analysis of parameters of metabolism, hemogram, platelet and plasma hemostasis in 121 patients (67 menand 54 women of mean age 28.2?10.7 years) with type 1 diabetes mellitus and angiopathy of different severity. Results. All patients had hyperglycemia along with dysproteinemia and altered lipid spectrum. Mean platelet volume and aggregation activity increasedwhile activated partial thromboplastic time decreased compared with control subjects regardless of the presence and severity of microangiopathy. Conclusion. Morphological and functional characteristics of platelets and activated partial throm-boplastic time are differently related to metabolicchanges.

scholarly journals Tracking the carbons supplying gluconeogenesis

2020 ◽  
Vol 295 (42) ◽  
pp. 14419-14429
Author(s):  
Ankit M. Shah ◽  
Fredric E. Wondisford
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Carbon Flux ◽  
Glucose Production ◽  
Comprehensive Analysis ◽  
Major Contributor ◽  
Isotope Tracer ◽  
Novel Targets ◽  
Tracer Experiments

As the burden of type 2 diabetes mellitus (T2DM) grows in the 21st century, the need to understand glucose metabolism heightens. Increased gluconeogenesis is a major contributor to the hyperglycemia seen in T2DM. Isotope tracer experiments in humans and animals over several decades have offered insights into gluconeogenesis under euglycemic and diabetic conditions. This review focuses on the current understanding of carbon flux in gluconeogenesis, including substrate contribution of various gluconeogenic precursors to glucose production. Alterations of gluconeogenic metabolites and fluxes in T2DM are discussed. We also highlight ongoing knowledge gaps in the literature that require further investigation. A comprehensive analysis of gluconeogenesis may enable a better understanding of T2DM pathophysiology and identification of novel targets for treating hyperglycemia.

scholarly journals IL-6 gene rs1800795 polymorphism and diabetes mellitus: a comprehensive analysis involving 39099 participants

2019 ◽  
Author(s):  
Zhang Chunmin ◽  
Zhiying Cheng
Keyword(s):  
Diabetes Mellitus ◽  
Confidence Intervals ◽  
Publication Bias ◽  
Interleukin 6 ◽  
Case Control ◽  
Comprehensive Analysis ◽  
Mixed Population ◽  
Case Control Studies ◽  
Definite Evidence ◽  
The Past

Abstract Background Over the past two decades, many studies concentrated the association between a common polymorphism ( rs1800795 ) from interleukin-6 (IL-6) gene and Diabetes Mellitus (DM) risk have been published, however, the results remain ambiguous and indefinite.Methods In current, we performed a comprehensive analysis to explore above relationship. A search was conducted in the PubMed, Embase, Chinese (CNKI and Wanfang) databases, covering all papers published until Sep 20, 2019. Odds ratios (OR) with 95% confidence intervals (CI) was applied to evaluate the strength of this association. Publication bias was assessed with both Begg and Egger’s tests.Results Overall, 26 case-control studies with 5973 T2DM patients and 13968 controls, and 11 case-control studies (10193 T1DM patients and 8965 health controls) were included for analysis in our study. Finally, significant decreased association was observed between the rs1800795 polymorphism and T2DM risk in overall sample, Asians and hospital-based subgroup (for example: C-allele vs. G-allele: OR = 0.65, 95%CI = 0.53-0.81, P < 0.05), however, increased associations were found from Mixed population and hospital-based subgroup between rs1800795 polymorphism and T1DM susceptibility (for example: CC vs. GG: OR = 2.45, 95%CI = 1.18-5.07, P = 0.016 for Mixed individuals).Conclusions In summary, there had a definite evidence to confirm that IL-6 rs1800795 polymorphism was associated with susceptibility of decreased T2DM and increased T1DM.

scholarly journals Prognosis of COVID-19 patients with type 2 diabetes

2021 ◽  
Vol 12 (1) ◽  
pp. 126-139
Author(s):  
Brunda M ◽  
Spandana Peddareddy ◽  
Arushi Moha ◽  
Mahesh DM ◽  
Samriddha Thapa ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Comprehensive Analysis ◽  
Control Of Diabetes ◽  
Test Of Significance ◽  
The Mean ◽  
D Dimer

Background: The pandemic of COVID-19, a disease caused by novel coronavirus SARS-CoV-2, is associated with significant morbidity and mortality. Recent data showed that hypertension, diabetes mellitus, cardiovascular diseases, and chronic obstructive pulmonary disease were the most prevalent comorbidities in COVID-19 patients. Additionally, data indicate that hypertension, diabetes and cardiovascular diseases are important risk factors for progression and unfavourable outcome in COVID-19 patients. Poorly controlled Type 2 diabetes mellitus was associated with severe progression of disease. Hence, large studies with comprehensive analysis of all risk factors and longer follow-up are necessary. Methods and analysis: A single-centre retrospective cross-sectional study of 300 patients that were SARS-CoV-2 positive from May to October 2020 was done. Data was entered into Microsoft excel data sheet and was analysed using SPSS 22 version software. Chi-square test or Fischer’s exact test (for 2x2 tables only) was used as test of significance for qualitative data. Independent t test was used as test of significance to identify the mean difference between two quantitative variables. ANOVA (Analysis of Variance) was used as test of significance to identify the mean difference between more than two quantitative variables. P value (Probability that the result is true) of <0.05 was considered as statistically significant after assuming all the rules of statistical tests. Data collected was analyzed in a group of patients who were sub divided into 2 groups diabetics and Non diabetics. The parameters studied included laboratory markers: D dimer, CRP, Lactate Dehydrogenase, Ferritin levels. To assess the glycemic control HbA1C levels were assessed. The outcome parameters considered were Oxygen requirement, assessing the requirement of intensive care and duration of stay in the hospital Conclusion: The patients with higher HbA1c values were found to have higher CRP and D-dimer values and required ICU shift and prolonged hospital stay. Hence, good control of diabetes will reduce the worsening of disease. In a country like India, where most of the population do not have health insurance cover proper control of diabetes, can reduce the burden on family. Hence, large studies with comprehensive analysis of all risk factors and longer follow-up are necessary.

scholarly journals Prediction model for severity of diabetic retinopathy derived from review of endothelial dysfunction and hypoxia markers

2021 ◽  
Vol 17 (1) ◽  
pp. 76-80
Author(s):  
Ya.V. Sirman ◽  
I.V. Savytskyi ◽  
N.I. Preys
Keyword(s):  
Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Endothelial Dysfunction ◽  
Functional Status ◽  
Von Willebrand Factor ◽  
Comprehensive Analysis ◽  
Endothelin 1 ◽  
Proliferative Phase ◽  
Von Willebrand ◽  
Willebrand Factor

Background. According to a wide range of authors, eye damage caused by diabetes mellitus accounts for 80–90 % of the total number of disorders. The development of mathematical predictive models allows for a more versatile analysis of experimental and clinical data. The purpose of the study was to develop a model for predicting the severity of diabetic retinopathy based on a review of markers of endothelial dysfunction and hypoxia. Materials and methods. We used a streptozotocin model of type 2 diabetes mellitus. Determined von Willebrand factor, endothelin-1, 2,3-diphosphoglycerate are used as variables. Also, the transition of the non-proliferative phase of diabetic retinopathy into the proliferative on the 180th day of the experiment was confirmed histologically. Results. We have developed a mathematical model for predicting the studied pathological state based on biochemical blood tests at the early stages of the experiment. We have proven the informative value of endothelial dysfunction markers, von Willebrand factor and endothelin-1, for predicting the transition of non-proliferative diabetic retinopathy into the proliferative phase. We determined the significance of a comprehensive analysis of the level of 2,3-diphosphoglycerate in erythrocytes together with the above markers of the functional status of the endothelium on day 30 for predicting the further course of the disease. Conclusions. We determined the effectiveness of a comprehensive analysis of the level of 2,3-diphosphoglycerate in erythrocytes together with the above markers of the functional status of the endothelium on day 30 for predicting the further course of the pathological process under study.

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