scholarly journals Recent Advances in Computational Modeling of Biomechanics and Biorheology of Red Blood Cells in Diabetes

Biomimetics ◽  
2022 ◽  
Vol 7 (1) ◽  
pp. 15
Author(s):  
Yixiang Deng ◽  
Hung-yu Chang ◽  
He Li
Keyword(s):  
Diabetes Mellitus ◽  
Computational Modeling ◽  
Computational Models ◽  
Experimental Studies ◽  
Vascular Occlusion ◽  
Cellular Level ◽  
Elevated Blood ◽  
Glucose Levels ◽  
Recent Advances ◽  
Rbc Aggregation

Diabetes mellitus, a metabolic disease characterized by chronically elevated blood glucose levels, affects about 29 million Americans and more than 422 million adults all over the world. Particularly, type 2 diabetes mellitus (T2DM) accounts for 90–95% of the cases of vascular disease and its prevalence is increasing due to the rising obesity rates in modern societies. Although multiple factors associated with diabetes, such as reduced red blood cell (RBC) deformability, enhanced RBC aggregation and adhesion to the endothelium, as well as elevated blood viscosity are thought to contribute to the hemodynamic impairment and vascular occlusion, clinical or experimental studies cannot directly quantify the contributions of these factors to the abnormal hematology in T2DM. Recently, computational modeling has been employed to dissect the impacts of the aberrant biomechanics of diabetic RBCs and their adverse effects on microcirculation. In this review, we summarize the recent advances in the developments and applications of computational models in investigating the abnormal properties of diabetic blood from the cellular level to the vascular level. We expect that this review will motivate and steer the development of new models in this area and shift the attention of the community from conventional laboratory studies to combined experimental and computational investigations, aiming to provide new inspirations for the development of advanced tools to improve our understanding of the pathogenesis and pathology of T2DM.

scholarly journals Study of the hyperglycemic condition in diseases of liver in non-obese clinical patients

2018 ◽  
Vol 8 (6-s) ◽  
pp. 209-212
Author(s):  
Chander Jeet Singh ◽  
Dinesh Kumar
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Experimental Studies ◽  
Healthy Adults ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Fasting Tolerance

Hyperglycemia is best documented by Whipple´s triad: symptoms compatible with hypoglycemia, low blood glucose concentration and alleviation of symptoms after the glucose concentration is raised. In experimental studies in healthy adults, fifteen out of the 19 patients who developed hypoglycaemia on the fasts during MT were re-tested 3 to 4 months after cessation of therapy. Fasting tolerance had improved in all of them. It had become normal in 10 out of 15 patients (67%). In 5 patients, blood glucose levels still fell below 2.7 mmol/l (range 2.0 to 2.6 mmol/l) after 16 hours of fasting. However, none had any symptoms. Keywords: Hypertension, Diabetes mellitus, Glucose, Glycolysis

Mechanisms underlying heart failure in type 2 diabetes mellitus

2019 ◽  
pp. 37-39
Keyword(s):  
Diabetes Mellitus ◽  
Heart Failure ◽  
Experimental Studies ◽  
Vascular Complications ◽  
Molecular Alterations ◽  
Increased Risk ◽  
Cardioprotective Effects ◽  
Underlying Mechanisms ◽  
Cardio Vascular

The prevalence of heart failure is markedly increased in individuals with diabetes mellitus. Numerous observational studies suggest that this increased risk for heart failure can be attributed to exacerbated vascular complications and the presence of increased risk factors in diabetic subjects. In addition, experimental studies revealed the presence of a number of distinct molecular alterations in the myocardium that occur independently of vascular disease and hypertension. Many of these molecular alterations are similarly observed in failing hearts of nondiabetic patients and have thus been proposed to contribute to the increased risk for heart failure in diabetes. The interest in understanding the underlying mechanisms of impaired cardio- vascular outcomes in diabetic individuals has much increased since the demonstration of cardioprotective effects of SGLT-2 inhibitors and GLP-1 receptor agonists in recent clinical trials. The current review therefore summarizes the distinct mechanisms that have been proposed to increase the risk for heart failure in diabetes mellitus.

Ductal Cell Reprogramming to Insulin-Producing Beta-Like Cells as a Potential Beta Cell Replacement Source for Chronic Pancreatitis

2019 ◽  
Vol 14 (1) ◽  
pp. 65-74 ◽  
Author(s):  
Aravinth P. Jawahar ◽  
Siddharth Narayanan ◽  
Gopalakrishnan Loganathan ◽  
Jithu Pradeep ◽  
Gary C. Vitale ◽  
...  
Keyword(s):  
Chronic Pancreatitis ◽  
Beta Cell ◽  
Lineage Tracing ◽  
Clinical Tool ◽  
Glucose Levels ◽  
Ductal Cells ◽  
Pancreatic Ductal Cells ◽  
Insulin Producing Cells ◽  
Ductal Cell ◽  
Recent Advances

Islet cell auto-transplantation is a novel strategy for maintaining blood glucose levels and improving the quality of life in patients with chronic pancreatitis (CP). Despite the many recent advances associated with this therapy, obtaining a good yield of islet infusate still remains a pressing challenge. Reprogramming technology, by making use of the pancreatic exocrine compartment, can open the possibility of generating novel insulin-producing cells. Several lineage-tracing studies present evidence that exocrine cells undergo dedifferentiation into a progenitor-like state from which they can be manipulated to form insulin-producing cells. This review will present an overview of recent reports that demonstrate the potential of utilizing pancreatic ductal cells (PDCs) for reprogramming into insulin- producing cells, focusing on the recent advances and the conflicting views. A large pool of ductal cells is released along with islets during the human islet isolation process, but these cells are separated from the pure islets during the purification process. By identifying and improving existing ductal cell culture methods and developing a better understanding of mechanisms by which these cells can be manipulated to form hormone-producing islet-like cells, PDCs could prove to be a strong clinical tool in providing an alternative beta cell source, thus helping CP patients maintain their long-term glucose levels.

Withdrawn: Diabetes Mellitus Prognosis Using Fuzzy Logic and Neural Networks Case Study: Alexandria Vascular Center (AVC)

2019 ◽  
Vol 13 ◽  
Author(s):  
Abeer A. Amer ◽  
Soha M. Ismail
Keyword(s):  
Diabetes Mellitus ◽  
Neural Networks ◽  
Fuzzy Logic ◽  
Computer Science ◽  
Recent Advances ◽  
Vascular Center ◽  
Copyright Permission ◽  
Legal Right

The following article has been withdrawn on the request of the author of the journal Recent Advances in Computer Science and Communications (Recent Patents on Computer Science): Title: Diabetes Mellitus Prognosis Using Fuzzy Logic and Neural Networks Case Study: Alexandria Vascular Center (AVC) Authors: Abeer A. Amer and Soha M. Ismail* Bentham Science apologizes to the readers of the journal for any inconvenience this may cause BENTHAM SCIENCE DISCLAIMER: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

Efeitos dos Programas de Treinamento Aeróbio, de Força e Combinado na Glicose Sanguínea em Diabéticos do Tipo 2: uma Revisão Sistemática/ Effects of Aerobic, Strength and Combined Programs Training on Blood Glucose in Type 2 Diabetic: a Systematic Review.

1970 ◽  
Vol 5 (1) ◽  
pp. 61-74 ◽  
Author(s):  
Alexandre de Souza E Silva ◽  
Maria Paula Gonçalves Mota
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Training Program ◽  
Aerobic Training ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Pubmed Database

O trabalho tem como objetivo analisar os estudos que avaliaram os efeitos dos programas de treinamento aeróbio, força e combinado nos níveis de glicose sanguínea em indivíduos com diabetes do tipo 2. Foi utilizado o método de revisão sistemática, sendo utilizada a base de dados PubMed. As palavras chaves utilizadas para pesquisa foram training and diabetes. Foram identificados 484 artigos originais. Apenas 17 estudos respeitaram os critérios de inclusão. Os resultados evidenciam que os programas de treinamento aeróbio diminuíram os níveis de glicose. O programa de treinamento de força também foi favorável à diminuição dos níveis de glicose sanguínea. Já o programa de treinamento combinado não demonstrou efeitos favoráveis no controle da glicose sanguínea. Conclui-se que o programa de treinamento aeróbio e de força ajudam a controlar os níveis de glicose sanguínea em indivíduos com diabetes do tipo 2. Palavras-chave: diabetes mellitus, treinamento, glicose.ABSTRACTThe study aims to analyze the studies that evaluated the effects of aerobic, strength and combined programs training in blood glucose levels in people with type 2 diabetes. We used a systematic review method and is used to PubMed database. The key words used for searching were training and diabetes. We identified 484 original articles. Only 17 studies complied with the inclusion criteria. The results show that aerobic training programs decreased glucose levels. The strength training program was also favorable to decrease in blood glucose levels. But the combined training program has not shown favorable effects on blood glucose control. We conclude that the aerobic training and strength helps control blood glucose levels in individuals with type 2 diabetes. Keywords: diabetes mellitus, training, glucose.

Computing Possible Futures

2019 ◽  
Author(s):  
William B. Rouse
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computational Modeling ◽  
Mental Model ◽  
Data Analytics ◽  
Computational Models ◽  
Senior Managers ◽  
Interactive Visualizations ◽  
Use Of Models ◽  
Better Than

This book discusses the use of models and interactive visualizations to explore designs of systems and policies in determining whether such designs would be effective. Executives and senior managers are very interested in what “data analytics” can do for them and, quite recently, what the prospects are for artificial intelligence and machine learning. They want to understand and then invest wisely. They are reasonably skeptical, having experienced overselling and under-delivery. They ask about reasonable and realistic expectations. Their concern is with the futurity of decisions they are currently entertaining. They cannot fully address this concern empirically. Thus, they need some way to make predictions. The problem is that one rarely can predict exactly what will happen, only what might happen. To overcome this limitation, executives can be provided predictions of possible futures and the conditions under which each scenario is likely to emerge. Models can help them to understand these possible futures. Most executives find such candor refreshing, perhaps even liberating. Their job becomes one of imagining and designing a portfolio of possible futures, assisted by interactive computational models. Understanding and managing uncertainty is central to their job. Indeed, doing this better than competitors is a hallmark of success. This book is intended to help them understand what fundamentally needs to be done, why it needs to be done, and how to do it. The hope is that readers will discuss this book and develop a “shared mental model” of computational modeling in the process, which will greatly enhance their chances of success.

scholarly journals Understanding sex differences in long-term blood pressure regulation: insights from experimental studies and computational modeling

2019 ◽  
Vol 316 (5) ◽  
pp. H1113-H1123 ◽  
Author(s):  
Sameed Ahmed ◽  
Rui Hu ◽  
Jessica Leete ◽  
Anita T. Layton
Keyword(s):  
Blood Pressure ◽  
Sex Differences ◽  
Computational Models ◽  
Experimental Studies ◽  
Pressure Control ◽  
Blood Pressure Regulation ◽  
Pressure Regulation ◽  
Physiological Processes ◽  
Key Players

Sex differences in blood pressure and the prevalence of hypertension are found in humans and animal models. Moreover, there has been a recent explosion of data concerning sex differences in nitric oxide, the renin-angiotensin-aldosterone system, inflammation, and kidney function. These data have the potential to reveal the mechanisms underlying male-female differences in blood pressure control. To elucidate the interactions among the multitude of physiological processes involved, one may apply computational models. In this review, we describe published computational models that represent key players in blood pressure regulation, and highlight sex-specific models and their findings.

Sign in / Sign up

Export Citation Format

Share Document