Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

2.3K
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...
2.3K
Diabetes Mellitus: Overview and Type I Subtype01:22

Diabetes Mellitus: Overview and Type I Subtype

2.5K
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...
2.5K
Carbohydrate Metabolism01:36

Carbohydrate Metabolism

10.9K
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...
10.9K
Psychoneuroimmunology: Diabetes and Cancer01:19

Psychoneuroimmunology: Diabetes and Cancer

26
Chronic stress has been linked to both the onset and progression of serious health conditions, including Type 2 diabetes and cancer. Type 2 diabetes, a widespread chronic illness, is closely associated with obesity and insulin resistance, both of which often worsen under stress. Studies indicate that men experiencing high levels of chronic stress face a 45% higher risk of developing diabetes compared to those with minimal stress. Stress triggers physiological responses that elevate blood...
26
Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

906
Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
906
Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

520
For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
520

You might also read

Related Articles

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

Sort by
Same author

Nonparametric inference for the localization receiver operating characteristic curve and its extension to free-response image localization tasks.

Statistical methods in medical research·2026
Same author

Functional divergence of MADS-box genes and the dual regulatory role of a long noncoding RNA underlie sex determination in Ginkgo biloba.

BMC plant biology·2026
Same author

A lipid droplet-targeted viscosity-sensitive fluorescent probe for visualization of tumor and NAFLD imaging.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026
Same author

Letter by Liu and Yao Regarding Article, "Phenotypic Selectivity of Artificial Intelligence-Enhanced Electrocardiography in Cardiovascular Diagnosis and Risk Prediction".

Circulation·2026
Same author

Polarized mitochondrial respiratory chain complexes in synaptic mitochondria induced by plasticity signals.

Molecular and cellular biochemistry·2026
Same author

Engineered local polarization disorder unlocks record efficiency in antiferroelectric capacitors.

Nature communications·2026

Related Experiment Video

Updated: Jun 13, 2025

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model
06:22

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model

Published on: November 29, 2024

548

Depression and type 2 diabetes risk: a Mendelian randomization study.

Kaiyuan Liu1, Diyi Zhou1, Lijun Chen1

  • 1Department of Endocrinology, Zhejiang Integrated Traditional Chinese and Western Medicine Hospital, Hangzhou, Zhejiang, China.

Frontiers in Endocrinology
|September 13, 2024
PubMed
Summary

Major depression and depressive status causally increase the risk of developing type 2 diabetes (T2D). This study used Mendelian randomization to confirm the link between depression and T2D, finding a significant association.

Keywords:
Mendelian randomizationcasual relationshipdepressive statusmajor depressiontype 2 diabetes

More Related Videos

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq
09:52

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq

Published on: April 19, 2013

24.4K
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

2.7K

Related Experiment Videos

Last Updated: Jun 13, 2025

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model
06:22

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model

Published on: November 29, 2024

548
Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq
09:52

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq

Published on: April 19, 2013

24.4K
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

2.7K

Area of Science:

  • Genetics and Epidemiology
  • Metabolic Diseases
  • Mental Health Research

Background:

  • Observational studies suggest a link between depression and type 2 diabetes (T2D).
  • The precise causal relationship between depression and T2D requires further investigation.
  • This study addresses the bidirectional causal effect between depression and T2D.

Purpose of the Study:

  • To evaluate the bidirectional causal effect between major depression (MD) and depressive status with type 2 diabetes (T2D).
  • To investigate the genetic correlation between depression and T2D using Mendelian randomization.

Main Methods:

  • Two-sample Mendelian randomization (MR) was employed.
  • Genome-wide association study (GWAS) summary data for MD, depressive status, T2D, and risk factors were utilized.
  • Multiple MR methods, including IVW and weighted median, were applied to assess causality.

Main Results:

  • Major depression (MD) showed a positive association with T2D (OR=1.26, p=5.6×10⁻⁴).
  • Depressive status also demonstrated a positive association with T2D (OR=2.26, p=0.04).
  • No significant causal effects were found from depression to T2D risk factors or vice versa.

Conclusions:

  • This study provides evidence for a causal relationship between depression and an increased risk of T2D.
  • Both major depression and depressive status are independently associated with a higher risk of developing type 2 diabetes.