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

Diabetic Retinopathy01:27

Diabetic Retinopathy

55
DefinitionDiabetic retinopathy is a microvascular complication of diabetes affecting the retinal blood vessels.Risk FactorsDiabetic retinopathy is present in almost all individuals with type 1 diabetes and more than 60% of those with type 2 diabetes after two decades of disease.The risk increases with poor glycemic control, hypertension, dyslipidemia, smoking, pregnancy, and puberty.Although cataracts and glaucoma are also more frequent in people with diabetes, retinopathy remains the leading...
55
Type II Diabetes II: Pathophysiology01:24

Type II Diabetes II: Pathophysiology

28
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.
28
Type I Diabetes II: Pathophysiology01:26

Type I Diabetes II: Pathophysiology

75
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...
75
Diabetic Nephropathy01:28

Diabetic Nephropathy

32
Definition Diabetic nephropathy is a chronic kidney complication that results from prolonged hyperglycemia.Prevalence It is the most common cause of chronic kidney disease (CKD) and end-stage renal disease (ESRD) worldwide, affecting up to half of individuals with diabetes.Pathophysiology • Sustained hyperglycemia triggers multiple hemodynamic and metabolic changes in the kidney. • Early in the disease, increased renal blood flow and glomerular hyperfiltration...
32
Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

4.9K
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...
4.9K
Type II Diabetes I: Introduction01:26

Type II Diabetes I: Introduction

17
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...
17

You might also read

Related Articles

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

Sort by
Same author

CRISP: Contrastive Residual Injection and Semantic Prompting for Continual Video Instance Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Designer diffusion media microstructures enhance polymer electrolyte fuel cell performance.

Energy & environmental science·2025
Same author

Integrating Flow Field Geometries within Porous Electrode Architectures for Enhanced Flow Battery Performance.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same author

C19orf66 restricts Coxsackievirus B infection by inducing lysosomal degradation of the viral proteins 3D<sup>pol</sup> and 2A<sup>pro</sup> and exhibits neuroprotective effects in CVB-challenged mice.

International immunopharmacology·2025
Same author

Histopathologic Differential Diagnosis and Estrogen Receptor/Progesterone Receptor Immunohistochemical Evaluation of Breast Carcinoma Using a Deep Learning-Based Artificial Intelligence Architecture.

The American journal of pathology·2024
Same author

Developing Deep LSTMs With Later Temporal Attention for Predicting COVID-19 Severity, Clinical Outcome, and Antibody Level by Screening Serological Indicators Over Time.

IEEE journal of biomedical and health informatics·2024

Related Experiment Video

Updated: May 1, 2026

Author Spotlight: Understanding Retinal Vessel Resilience and Disease Progression
04:36

Author Spotlight: Understanding Retinal Vessel Resilience and Disease Progression

Published on: January 12, 2024

1.9K

Gene-Lifestyle Synergy in Diabetic Retinopathy Development.

Shaopeng Yang1, Zhuoyao Xin2, Baichen Liu1

  • 1State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangdong Basic Research Center of Excellence for Major Blinding Eye Diseases Prevention and Treatment, Sun Yat-Sen University, Guangzhou, China.

Ophthalmology
|April 29, 2026
PubMed
Summary

High genetic risk increases diabetic retinopathy (DR) risk, but healthy lifestyle choices can significantly lower it. Universal interventions are recommended for DR prevention in all individuals.

Keywords:
Diabetic retinopathy (DR)Joint effectLifestyleMachine learning (ML)Polygenic risk

More Related Videos

Studying Diabetes Through the Eyes of a Fish: Microdissection, Visualization, and Analysis of the Adult tgfli:EGFP Zebrafish Retinal Vasculature
10:07

Studying Diabetes Through the Eyes of a Fish: Microdissection, Visualization, and Analysis of the Adult tgfli:EGFP Zebrafish Retinal Vasculature

Published on: December 26, 2017

15.0K
A Zebrafish Model of Diabetes Mellitus and Metabolic Memory
10:03

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory

Published on: February 28, 2013

25.3K

Related Experiment Videos

Last Updated: May 1, 2026

Author Spotlight: Understanding Retinal Vessel Resilience and Disease Progression
04:36

Author Spotlight: Understanding Retinal Vessel Resilience and Disease Progression

Published on: January 12, 2024

1.9K
Studying Diabetes Through the Eyes of a Fish: Microdissection, Visualization, and Analysis of the Adult tgfli:EGFP Zebrafish Retinal Vasculature
10:07

Studying Diabetes Through the Eyes of a Fish: Microdissection, Visualization, and Analysis of the Adult tgfli:EGFP Zebrafish Retinal Vasculature

Published on: December 26, 2017

15.0K
A Zebrafish Model of Diabetes Mellitus and Metabolic Memory
10:03

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory

Published on: February 28, 2013

25.3K

Area of Science:

  • Genetics and Ophthalmology
  • Public Health and Preventive Medicine
  • Computational Biology and Bioinformatics

Background:

  • Diabetic retinopathy (DR) is a leading cause of vision loss in diabetic patients.
  • Genetic predisposition and lifestyle factors are known contributors to DR development.
  • A comprehensive understanding of their interplay is crucial for effective prevention strategies.

Purpose of the Study:

  • To develop a machine learning (ML)-driven polygenic risk score (PRS) for DR.
  • To assess the impact of lifestyle modifications on mitigating genetically predicted DR risk.
  • To investigate the combined effects of genetic risk and lifestyle on DR incidence.

Main Methods:

  • A multicenter, multiethnic cohort study utilizing UK Biobank and Guangzhou Diabetic Eye Study data.
  • Systematic literature review to identify 182 DR-associated single nucleotide polymorphisms for ML-PRS construction.
  • Lifestyle adherence scored based on smoking, weight, physical activity, and sleep, categorized as favorable, intermediate, or unfavorable.

Main Results:

  • High genetic risk elevated DR risk by 37% (HR=1.37), while unfavorable lifestyle increased risk by 49% (HR=1.49), independent of each other.
  • High genetic risk and unfavorable lifestyle synergistically more than doubled DR risk (HR=2.09).
  • A favorable lifestyle reduced DR risk by 44% in high-genetic-risk individuals, lowering incidence from 7.5% to 4.6%.

Conclusions:

  • Both genetic predisposition and modifiable lifestyle factors independently and jointly influence DR risk.
  • Lifestyle interventions are effective in reducing DR risk, particularly in genetically susceptible individuals.
  • Universal behavioral interventions are recommended for DR prevention across all genetic backgrounds.