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

Carbohydrate Metabolism01:36

Carbohydrate Metabolism

11.6K
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...
11.6K
Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

2.9K
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...
2.9K
Obesity01:24

Obesity

609
The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
609
Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

683
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...
683
Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

1.2K
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,...
1.2K
Hypodermis01:02

Hypodermis

5.2K
The hypodermis (the subcutaneous layer or superficial fascia) is present directly below the dermis. It connects the skin to the underlying fascia (fibrous tissue) of the bones and muscles. It is not strictly a part of the skin, although the border between the hypodermis and dermis can be difficult to distinguish. The hypodermis consists of well-vascularized, loose, areolar connective tissue and adipose tissue, which functions as a mode of fat storage and provides insulation and cushioning for...
5.2K

You might also read

Related Articles

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

Sort by
Same author

Unhealthy fat distribution as a sex-specific predictor of declining hippocampus insulin sensitivity.

Diabetologia·2026
Same author

Response to Comments on 'Effect of Essential Phospholipids in Metabolic Dysfunction-Associated Steatotic Liver Disease'.

Liver international : official journal of the International Association for the Study of the Liver·2026
Same author

A High Level of Calculated Small Dense Low-Density Lipoprotein Cholesterol Is an Independent Risk Factor for the Progression of Renal Impairment.

Circulation journal : official journal of the Japanese Circulation Society·2026
Same author

Response to Comment on Wagner et al. Beyond Glucose-Rethinking Prediabetes for Precision Prevention.

Diabetes care·2026
Same author

Effect of Finerenone on Albuminuria in Type 1 Diabetes by Baseline HbA1c Level and Diabetes Duration: An Exploratory Analysis of the FINE-ONE Trial.

Diabetes care·2026
Same author

MASLD as Complication of Diabetes.

Diabetes·2026

Related Experiment Video

Updated: Sep 7, 2025

Author Spotlight: Decellularization-Based Quantification of Skeletal Muscle Fatty Infiltration
10:37

Author Spotlight: Decellularization-Based Quantification of Skeletal Muscle Fatty Infiltration

Published on: June 9, 2023

3.4K

Fat Distribution Patterns and Future Type 2 Diabetes.

Hajime Yamazaki1, Shinichi Tauchi2, Jürgen Machann3,4,5

  • 1Section of Clinical Epidemiology, Department of Community Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Diabetes
|June 20, 2022
PubMed
Summary
This summary is machine-generated.

Specific fat distribution patterns, like hepatic or pancreatic steatosis, significantly increase type 2 diabetes (T2D) risk. Understanding these fat patterns may help predict T2D development due to altered insulin sensitivity and secretion.

More Related Videos

An Advanced Murine Model for Nonalcoholic Steatohepatitis in Association with Type 2 Diabetes
10:17

An Advanced Murine Model for Nonalcoholic Steatohepatitis in Association with Type 2 Diabetes

Published on: April 26, 2019

7.1K
Study of In Vivo Glucose Metabolism in High-fat Diet-fed Mice Using Oral Glucose Tolerance Test OGTT and Insulin Tolerance Test ITT
08:13

Study of In Vivo Glucose Metabolism in High-fat Diet-fed Mice Using Oral Glucose Tolerance Test OGTT and Insulin Tolerance Test ITT

Published on: January 7, 2018

69.3K

Related Experiment Videos

Last Updated: Sep 7, 2025

Author Spotlight: Decellularization-Based Quantification of Skeletal Muscle Fatty Infiltration
10:37

Author Spotlight: Decellularization-Based Quantification of Skeletal Muscle Fatty Infiltration

Published on: June 9, 2023

3.4K
An Advanced Murine Model for Nonalcoholic Steatohepatitis in Association with Type 2 Diabetes
10:17

An Advanced Murine Model for Nonalcoholic Steatohepatitis in Association with Type 2 Diabetes

Published on: April 26, 2019

7.1K
Study of In Vivo Glucose Metabolism in High-fat Diet-fed Mice Using Oral Glucose Tolerance Test OGTT and Insulin Tolerance Test ITT
08:13

Study of In Vivo Glucose Metabolism in High-fat Diet-fed Mice Using Oral Glucose Tolerance Test OGTT and Insulin Tolerance Test ITT

Published on: January 7, 2018

69.3K

Area of Science:

  • Metabolic disease research
  • Endocrinology
  • Medical imaging analysis

Background:

  • Fat accumulation in organs like the liver, pancreas, and muscle is linked to type 2 diabetes (T2D).
  • The specific distribution patterns of this fat and their association with T2D risk remain unclear.

Purpose of the Study:

  • To investigate distinct fat distribution patterns in key metabolic compartments.
  • To determine if these specific patterns are associated with an increased risk of developing type 2 diabetes.

Main Methods:

  • A case-cohort study involving 2,168 individuals without diabetes in Japan, with 146 incident T2D cases over 6 years.
  • Data-driven k-means clustering identified four fat distribution patterns: hepatic steatosis, pancreatic steatosis, trunk myosteatosis, and steatopenia.
  • Replication analysis performed on 319 German individuals using MRI and metabolic phenotyping.

Main Results:

  • Compared to the steatopenia cluster, hepatic steatosis showed a 4.02-fold increased T2D risk, pancreatic steatosis a 3.38-fold increase, and trunk myosteatosis a 1.95-fold increase.
  • Identified clusters demonstrated variations in insulin sensitivity and insulin secretion.
  • Fat distribution patterns were replicated in a German cohort, correlating with T2D risk and glucose metabolism.

Conclusions:

  • Distinct patterns of fat distribution across the liver, pancreas, and muscle are associated with varying risks of developing type 2 diabetes.
  • These associations are likely mediated by differences in insulin sensitivity and secretion.
  • The identified fat distribution clusters serve as potential indicators for future T2D risk.