Javascript must be enabled to continue!
Insulin Analogs for Type 1 Diabetes Management
View through CrossRef
Type 1 diabetes is a metabolic dysfunction in which there is the autoimmune destruction of the β cells in the islet of Langerhans; thereby, there is very little or no insulin production.1 Insulin regulates the blood glucose level in the body, and there is no known way of preventing type 1 diabetes.35 Blood glucose homeostasis is vital to avoid further complications, and hence they need insulin analogs to mimic the same. Regular insulin has limitations on how it mimics the bolus insulin secretion. By changing the amino acid sequence in the DNA through genetic engineering, insulin analogs can have different characteristics from natural insulin, which helps overcome these shortcomings. Rapid-acting, long-acting, and mixed formulations are subcategories of insulin analogs. These can help mimic the pattern of insulin release in a healthy individual. Intravenous and subcutaneous administrations influence how fast the insulin analogs can act. The success of each analog depends on how close its action is to natural insulin. All-analog basal bonus regimens show lower glycosylated hemoglobin than all-human insulin basal bonus regimens. Generally, analogs do not have adverse side effects. Therefore, analogs have a significant role in preventing type 1 diabetes from developing into a potentially fatal disease.9 This article even projects the prospects of insulin analogs like inhalers and oral administrations.
Title: Insulin Analogs for Type 1 Diabetes Management
Description:
Type 1 diabetes is a metabolic dysfunction in which there is the autoimmune destruction of the β cells in the islet of Langerhans; thereby, there is very little or no insulin production.
1 Insulin regulates the blood glucose level in the body, and there is no known way of preventing type 1 diabetes.
35 Blood glucose homeostasis is vital to avoid further complications, and hence they need insulin analogs to mimic the same.
Regular insulin has limitations on how it mimics the bolus insulin secretion.
By changing the amino acid sequence in the DNA through genetic engineering, insulin analogs can have different characteristics from natural insulin, which helps overcome these shortcomings.
Rapid-acting, long-acting, and mixed formulations are subcategories of insulin analogs.
These can help mimic the pattern of insulin release in a healthy individual.
Intravenous and subcutaneous administrations influence how fast the insulin analogs can act.
The success of each analog depends on how close its action is to natural insulin.
All-analog basal bonus regimens show lower glycosylated hemoglobin than all-human insulin basal bonus regimens.
Generally, analogs do not have adverse side effects.
Therefore, analogs have a significant role in preventing type 1 diabetes from developing into a potentially fatal disease.
9 This article even projects the prospects of insulin analogs like inhalers and oral administrations.
Related Results
New and simple Ohmic definition of insulin resistance in lean and obese subjects
New and simple Ohmic definition of insulin resistance in lean and obese subjects
objective:: Insulin enhances the influx of glucose into cells. However, the relationship between glucose and insulin is complex and insulin sensitivity varies widely with age, ethn...
A Case of Insulin Resistance Secondary to Insulin Induced Localized Cutaneous Amyloidosis.
A Case of Insulin Resistance Secondary to Insulin Induced Localized Cutaneous Amyloidosis.
Abstract
Abstract 4908
Insulin resistance can be a major problem in patients with diabetes mellitus. Although multiple reasons can result in this prob...
THE EFFECT OF CONTINUOUS SUBCUTANEOUS INSULIN INFUSION TREATMENT, INSULIN ANALOG, AND HUMAN INSULIN OF CHILDREN WITH DIABETES
THE EFFECT OF CONTINUOUS SUBCUTANEOUS INSULIN INFUSION TREATMENT, INSULIN ANALOG, AND HUMAN INSULIN OF CHILDREN WITH DIABETES
The aim of this study is to evaluate the cost-effectiveness of continuous subcutaneous insulin infusion (CSII) to multiple daily insulin injection (MDI) either with analogues or w...
Diabetes Prediction Using Machine Learning
Diabetes Prediction Using Machine Learning
The research analyzes machine learning methods for predicting diabetes through Pima Indians Diabetes Dataset analysis. The optimization of XGBoost and Logistic Regression (LR), Sup...
WILLINGNESS-TO-PAY FOR INSULIN IN DIABETES TREATMENT: A SYSTEMATIC REVIEW AND META-ANALYSIS
WILLINGNESS-TO-PAY FOR INSULIN IN DIABETES TREATMENT: A SYSTEMATIC REVIEW AND META-ANALYSIS
Background: Insulin treatment is necessary for all patients with type 1 diabetes and a subset of patients with type 2 diabetes. However, lifetime insulin treatment is relatively co...
A Multi-Polygenic Risk Score Approach Incorporating Physical Activity Genotypes for Predicting Type 2 Diabetes and Associated Comorbidities: A FinnGen Study
A Multi-Polygenic Risk Score Approach Incorporating Physical Activity Genotypes for Predicting Type 2 Diabetes and Associated Comorbidities: A FinnGen Study
ABSTRACT
Aims/hypothesis
Genetic prediction of type 2 diabetes risk has proven difficult using current methods. Recent studies have shown...
Diabetes Awareness Among High School Students in Qatar
Diabetes Awareness Among High School Students in Qatar
Diabetes is a disease that occurs when there is an abundance of glucose in the blood stream and the body cannot produce enough insulin in the pancreas to transfer the sugar from th...
940-P: Porous Insulin Microneedles for Diabetes Treatment
940-P: Porous Insulin Microneedles for Diabetes Treatment
Introduction and Objective: Patients with type 1 and type 2 diabetes are subjected to insulin injection therapies. Repeated subcutaneous insulin administrations leads to physiologi...


