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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)

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[Childhhood obesity, insulin resistance and increased cardiovascular risk]

Angela Carlone1, Chiara Venditti, Laura Cipolloni

  • 1Dipartimento di Medicina Interna e Specialità Mediche, UOC di Diabetologia, Sapienza Università di Roma, 00161 Roma.

Recenti Progressi in Medicina
|November 2, 2012
PubMed

Insights

Excess fat increases the risk of insulin resistance and cardiovascular diseases. Researchers are exploring wrist circumference as an easy marker to identify young people at risk for these conditions.

Area of Science:

  • Endocrinology and Metabolism
  • Cardiovascular Medicine
  • Public Health

Context:

  • Obesity is a significant risk factor for insulin resistance and subsequent cardiovascular diseases (CVDs) such as myocardial infarction and stroke.
  • CVDs are a leading cause of mortality in Western countries, posing a substantial socioeconomic burden.
  • Current screening methods for insulin resistance in young populations are lacking, necessitating the identification of accessible clinical markers.

Purpose:

  • To investigate the potential of wrist circumference and its bone composition as easily detectable clinical markers for insulin resistance.
  • To identify young individuals at elevated risk for cardiovascular diseases through accessible screening tools.

Summary:

  • This study explores the link between excess body fat, insulin resistance, and the development of cardiovascular diseases.
  • It highlights the urgent need for simple screening tools to detect insulin resistance in younger populations.
  • The research focuses on the relationship between wrist circumference, bone composition, and insulin resistance.

Impact:

  • Potential to identify at-risk youth for early intervention, mitigating cardiovascular disease development.
  • Could lead to the development of novel, non-invasive screening tools for insulin resistance.
  • Contributes to understanding the metabolic and skeletal links in cardiovascular disease risk stratification.

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