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Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

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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...
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Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

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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,...
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Carbohydrate Metabolism01:36

Carbohydrate Metabolism

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

Diabetes Mellitus: Type 2 and Gestational

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

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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.
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Obesity

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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...
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相关实验视频

Updated: Jun 14, 2025

Isolation, Expansion, and Adipogenic Induction of CD34+CD31+ Endothelial Cells from Human Omental and Subcutaneous Adipose Tissue
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身体组成的差异 糖尿病前期的表型集群 在糖尿病预防计划研究中

Benjamin M Stroebel1, Meghana Gadgil2, Kimberly Lewis1

  • 1Department of Physiological Nursing, School of Nursing, University of California, San Francisco.

The Journal of clinical endocrinology and metabolism
|March 11, 2025
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概括

聚类糖尿病前期患者揭示了不同的表型,有助于识别那些患有2型糖尿病 (T2D) 风险较高的人. 这种方法可以个性化预防策略,改善治疗反应.

关键词:
身体构成 身体组成集群模型的集群模型.在糖尿病前期,糖尿病前期.2 型糖尿病 2 型糖尿病

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Robust Differentiation of Human iPSCs into a Pure Population of Adipocytes to Study Adipocyte-Associated Disorders
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Author Spotlight: Semi-Automated Isolation of the Stromal Vascular Fraction from Murine White Adipose Tissue Using a Tissue Dissociator
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科学领域:

  • 代谢健康研究研究
  • 临床数据分析临床数据分析
  • 生物统计学 生物统计学

背景情况:

  • 2型糖尿病 (T2D) 是一个重大的公共卫生挑战.
  • 目前的T2D风险降低策略并不普遍有效.

研究的目的:

  • 通过集群方法识别和描述糖尿病前期表型.
  • 检查这些表型,治疗组和T2D事件之间的关系.

主要方法:

  • 糖尿病预防计划 (DPP) 试验数据的二次分析.
  • 无监督的k-means集群适用于代谢风险因素和身体成分测量.
  • 分析包括994名参与者与身体组成数据.

主要成果:

  • 通过单独使用临床因素和综合措施,确定了五个不同的糖尿病前期群.
  • 综合模型更好地通过代谢健康来区分超重表型.
  • 甲福林手臂在跨集群的T2D时间预测中显示出最大的差异化.

结论:

  • 数据驱动的集群可以识别具有更高进展风险的糖尿病前期表型.
  • 现型差异可能会影响对干预措施的反应,从而实现个性化预防.
  • 对治疗反应变异的进一步研究可以优化T2D预防和管理.