Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Diabetes: Management and Pharmacotherapy

Diabetes: Management and Pharmacotherapy

The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
Insulin remains the cornerstone of treatment for most patients with type 1 and many...

Diabetes Mellitus: Type 2 and Gestational

Diabetes Mellitus: Type 2 and Gestational

Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...

Carbohydrate Metabolism

Carbohydrate Metabolism

Carbohydrates are polymers composed of molecules containing atoms of carbon, hydrogen and oxygen. One gram of carbohydrate can provide four kilo-calories of energy, which makes it the most efficient instant energy source.
Starch accounts for approximately 60% of the carbohydrates consumed by humans. Since amylase enzymes cannot function in the stomach's acidic environment, starch can only be digested in the mouth and small intestine. Simple sugars are found naturally in milk and fruits in the...

Type II Diabetes I: Introduction

Type II Diabetes I: Introduction

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by insulin resistance, in which target tissues such as the liver, muscle, and adipose tissue respond poorly to insulin. It is also associated with inadequate compensatory insulin secretion, where pancreatic β-cells fail to produce sufficient insulin. Together, these abnormalities lead to persistent hyperglycemia.EtiologyT2DM develops through a complex interaction of genetic predisposition and environmental or...

Diabetes Mellitus: Overview and Type I Subtype

Diabetes Mellitus: Overview and Type I Subtype

Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...

Type II Diabetes II: Pathophysiology

Type II Diabetes II: Pathophysiology

PathophysiologyType 2 diabetes mellitus (T2DM ) is a chronic metabolic disorder characterized by insulin resistance and progressive pancreatic β-cell dysfunction, leading to impaired glucose homeostasis. It results from interactions among genetic predisposition, environmental factors, and metabolic stressors, such as overnutrition and a sedentary lifestyle.Insulin Resistance and Glucose DysregulationEarly T2DM involves insulin resistance in skeletal muscle, adipose tissue, and the liver.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Predictive models of adverse outcomes of overweight or obesity: a nationwide cohort validation.

BMC endocrine disorders·2026

Same author

American Diabetes Association controversy: Activism is necessary to protect scientific freedom.

BMJ (Clinical research ed.)·2026

Same author

A Conversation With Dr David Nathan: Goodbye to All That?

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists·2026

Same author

AI-based detection of coronary artery calcium score in non-gated chest computed tomography of patients who decline statin therapy: A missed opportunity for prevention.

Journal of cardiovascular computed tomography·2026

Same author

Goodbye to All That? Personal Reflections on 50 Years of Diabetes Research: Right Time, Right Place, Great Colleagues, and Unwavering National Institutes of Health Support.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists·2026

Same author

Cumulative excess weight exposure over time and cardiovascular risk: A prospective cohort study.

PloS one·2026

Search research articles

Related Experiment Videos

An algorithm for the care of type 2 diabetes.

Alan Cole¹, David M Nathan, Elizabeth Savaria-Porter

¹Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. acole@partners.org

Critical Pathways in Cardiology

|December 3, 2009

Summary

This study presents an algorithm for managing type 2 diabetes, aligning with established care standards. It offers guidance on diagnosis, treatment targets, and managing hyperglycemia, lipids, and hypertension for better patient outcomes.

Related Experiment Videos

Area of Science:

Endocrinology
Internal Medicine
Clinical Algorithms

Background:

Type 2 diabetes requires standardized management protocols.
Existing guidelines from organizations like the American Diabetes Association inform best practices.

Purpose of the Study:

To present a comprehensive algorithm for type 2 diabetes care.
To consolidate recommendations for diagnosis and management.

Main Methods:

Algorithm development based on published standards and consensus statements.
Inclusion of criteria for diagnosis and treatment targets.
Recommendations for hyperglycemia, lipid, and hypertension management.

Main Results:

The algorithm integrates diagnosis criteria and care frequency.
It provides management strategies for key diabetes-related conditions.
Expert-answered FAQs enhance understanding and implementation.

Conclusions:

The presented algorithm offers a structured approach to type 2 diabetes care.
It emphasizes adherence to established clinical practice guidelines.
This tool supports healthcare providers in optimizing patient management.