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Related Concept Videos

Type II Diabetes I: Introduction01:26

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: Type 2 and Gestational01:22

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...
Type II Diabetes II: Pathophysiology01:24

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.
Type II Diabetes Mellitus III: Clinical Manifestations and Diagnosis01:25

Type II Diabetes Mellitus III: Clinical Manifestations and Diagnosis

Type 2 diabetes mellitus develops gradually and is often asymptomatic in early stages.Clinical ManifestationsWhen symptoms appear, they include fatigue, blurred vision, pruritus, delayed wound healing, and recurrent infections, particularly candidal infections. Peripheral neuropathy may present as numbness or tingling in the extremities. Classic hyperglycemia symptoms—polyuria, polydipsia, and polyphagia—are less common. Most patients are overweight and frequently have associated hypertension...
Type I Diabetes II: Pathophysiology01:26

Type I Diabetes II: Pathophysiology

Type 1 diabetes mellitus arises from an immune-mediated destruction of pancreatic β-cells, resulting in an absolute deficiency of insulin. This process develops in genetically susceptible individuals when autoimmunity, environmental exposures, and immunologic dysregulation converge to trigger a targeted attack on the insulin-producing cells of the pancreas. The β-cells are located within the islets of Langerhans and are essential for regulating blood glucose by facilitating cellular uptake of...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

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Related Experiment Video

Updated: May 24, 2026

A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
06:46

A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19

Published on: July 5, 2022

Data-Driven and Expert-Informed Causal Discovery for Type 2 Diabetes Risk in Primary Care.

Laura Azzimonti1, Marta Lenatti2, Marco Zaffalon1

  • 1IDSIA USI-SUPSI, SUPSI, 6900, Lugano, Switzerland.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

Researchers created a causal map of Type 2 Diabetes risk using Canadian primary care data. This model accurately predicts future diabetes onset and can aid in developing clinical decision-making tools.

Keywords:
Causal discoveryDiabetes PreventionElectronic Medical Records

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Last Updated: May 24, 2026

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Published on: May 15, 2020

Area of Science:

  • Computational biology
  • Epidemiology
  • Medical informatics

Background:

  • Routinely collected primary care data offers a rich source for understanding disease etiology.
  • Type 2 Diabetes (T2D) poses a significant public health challenge, necessitating improved risk prediction and prevention strategies.

Purpose of the Study:

  • To extract causal relationships influencing Type 2 Diabetes risk from extensive Canadian primary care data.
  • To construct a causal Directed Acyclic Graph (DAG) integrating data-driven findings with expert medical knowledge.

Main Methods:

  • Utilized a large dataset encompassing biomarkers, medical conditions, risk factors, and medications.
  • Employed a causal discovery process involving iterative refinement and expert knowledge integration.
  • Developed a Directed Acyclic Graph (DAG) to represent causal pathways.

Main Results:

  • The generated DAG accurately reflects established medical knowledge regarding T2D risk factors.
  • The causal model demonstrated satisfactory performance in predicting future T2D onset.
  • Identified key causal links between various health indicators and diabetes risk.

Conclusions:

  • The developed causal DAG provides a robust foundation for understanding T2D etiology.
  • This approach can support the creation of interpretable tools for clinical decision-making.
  • Highlights the potential of integrating routinely collected data with causal inference for medical research.