Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Diabetes and obesity: therapeutic targeting and risk reduction – a complex interplay

View through CrossRef
Obesity is a major risk factor for the development of diabetes and predisposes individuals to hypertension and dyslipidaemia. Together these pathologies increase the risk for cardiovascular disease (CVD), the major cause of morbidity and mortality in type 2 diabetes mellitus (T2DM). Worsening trends in obesity and T2DM raise a serious conundrum, namely, how to control blood glucose, blood pressure, and lipids when many antidiabetic agents cause weight gain and thereby exacerbate other cardiovascular risk factors associated with T2DM. Further, evidence suggests that some established antihypertensive agents may worsen glucose intolerance. Many patients who are obese, hypertensive, and/or hyperlipidaemic fail to achieve blood pressure, lipid and glycaemic goals, and this failure may in part be explained by physician reluctance to utilize complex combination regimens for fear of off‐target effects. Thus, a clear need exists for clinicians to understand the risks and benefits of different pharmacologic, and indeed non‐pharmacologic, options in order to maximize treatment outcomes. While intensive lifestyle modification remains an elusive gold standard, newer diabetes targets, including the incretin axis, may offer greater cardiovascular risk reduction than other antidiabetes therapies, although definitive clinical trial data are needed. The glucagon‐like peptide‐1 (GLP‐1) receptor agonists exenatide and liraglutide and the dipeptidyl peptidase‐4 (DPP‐4) inhibitors sitagliptin and vildagliptin effectively lower HbA1c; exenatide and liraglutide reduce weight and blood pressure and improve lipid profiles. Sitagliptin and vildagliptin are weight neutral but also appear to improve lipid profiles. Integration of incretin therapies into the therapeutic armamentarium is a promising approach to improving outcomes in T2DM, and perhaps even in reducing complications of T2DM, such as co‐morbid hypertension and dyslipidaemia. Additional long‐term studies, including CVD end‐point studies, will be necessary to determine the appropriate places for incretin‐based therapies in treatment algorithms.
Title: Diabetes and obesity: therapeutic targeting and risk reduction – a complex interplay
Description:
Obesity is a major risk factor for the development of diabetes and predisposes individuals to hypertension and dyslipidaemia.
Together these pathologies increase the risk for cardiovascular disease (CVD), the major cause of morbidity and mortality in type 2 diabetes mellitus (T2DM).
Worsening trends in obesity and T2DM raise a serious conundrum, namely, how to control blood glucose, blood pressure, and lipids when many antidiabetic agents cause weight gain and thereby exacerbate other cardiovascular risk factors associated with T2DM.
Further, evidence suggests that some established antihypertensive agents may worsen glucose intolerance.
Many patients who are obese, hypertensive, and/or hyperlipidaemic fail to achieve blood pressure, lipid and glycaemic goals, and this failure may in part be explained by physician reluctance to utilize complex combination regimens for fear of off‐target effects.
Thus, a clear need exists for clinicians to understand the risks and benefits of different pharmacologic, and indeed non‐pharmacologic, options in order to maximize treatment outcomes.
While intensive lifestyle modification remains an elusive gold standard, newer diabetes targets, including the incretin axis, may offer greater cardiovascular risk reduction than other antidiabetes therapies, although definitive clinical trial data are needed.
The glucagon‐like peptide‐1 (GLP‐1) receptor agonists exenatide and liraglutide and the dipeptidyl peptidase‐4 (DPP‐4) inhibitors sitagliptin and vildagliptin effectively lower HbA1c; exenatide and liraglutide reduce weight and blood pressure and improve lipid profiles.
Sitagliptin and vildagliptin are weight neutral but also appear to improve lipid profiles.
Integration of incretin therapies into the therapeutic armamentarium is a promising approach to improving outcomes in T2DM, and perhaps even in reducing complications of T2DM, such as co‐morbid hypertension and dyslipidaemia.
Additional long‐term studies, including CVD end‐point studies, will be necessary to determine the appropriate places for incretin‐based therapies in treatment algorithms.

Related Results

Eating Habits Associated with Overweight and Obesity: Case - Control Study in 11-14 year old Adolescents in Hanoi in 2020
Eating Habits Associated with Overweight and Obesity: Case - Control Study in 11-14 year old Adolescents in Hanoi in 2020
Eating habits appears to be an important determinant of dietary intake and may consequently influence overweight and obesity. Understanding the relationship between the nutritional...
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...
Pendidikan dan promosi kesehatan tentang diabetes mellitus
Pendidikan dan promosi kesehatan tentang diabetes mellitus
Health education and promotion about diabetes mellitus Introduction: Diabetes mellitus in Indonesia is a serious threat to health development. The 2010 NCD World Health Organizatio...
Obesity Risk Assessment Concept
Obesity Risk Assessment Concept
The obesity risk assessment concept is developed after considering the increased risk of obesity and the concomitant conditions arising due to obesity. The treatment of obesity is ...
Microevolutionary Hypothesis of the Obesity Epidemic
Microevolutionary Hypothesis of the Obesity Epidemic
AbstractThe obesity epidemic represents potentially the largest phenotypic change inHomo sapienssince the origin of the species. Despite obesity’s high heritability, a change in th...
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...
Obesity: A Major Factor in Diabetes
Obesity: A Major Factor in Diabetes
Obesity is currently recognized as a significant risk factor contributing to the onset of diabetes, presenting a substantial challenge to public health worldwide. This abstract pro...

Back to Top