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[Study on syndrome pattern in insulin resistant model rats].

X L Liang1, M X Han

  • 1First Affiliated Hospital, Anhui College of TCM, Hefei 230031.

Zhongguo Zhong Xi Yi Jie He Za Zhi Zhongguo Zhongxiyi Jiehe Zazhi = Chinese Journal of Integrated Traditional and Western Medicine
|February 11, 2003
PubMed
Summary

Insulin resistance in rats is characterized by a syndrome pattern involving phlegm turbidity, blood stasis, and internal toxins. This study identifies key biological markers for each pattern, offering insights into Traditional Chinese Medicine (TCM) approaches.

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Area of Science:

  • Metabolic research
  • Animal models
  • Traditional Chinese Medicine (TCM)

Background:

  • Insulin resistance (IR) is a complex metabolic disorder.
  • Understanding the syndrome patterns associated with IR is crucial for developing effective treatments.
  • Model organisms provide valuable insights into human disease mechanisms.

Purpose of the Study:

  • To investigate the syndrome patterns present in an insulin-resistant rat model.
  • To identify specific biological and internal changes associated with different syndrome patterns in IR.

Main Methods:

  • Insulin resistance was induced in Sprague-Dawley rats using a high-sucrose diet.
  • Cluster analysis was performed on biological and internal changes.
  • Correlative coefficients were analyzed to identify syndrome patterns.

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Main Results:

  • Three distinct syndrome patterns were identified: phlegm turbidity, blood stasis, and internal toxin.
  • Phlegm turbidity was linked to elevated lipids and glycated serum protein.
  • Blood stasis was associated with increased blood viscosity, coagulation, blood pressure, and cell counts.
  • Internal toxin was characterized by high glucose, insulin, and tumor necrosis factor.

Conclusions:

  • The study confirms a combined syndrome pattern of phlegm turbidity, blood stasis, and internal toxin in insulin-resistant rats.
  • These findings provide a theoretical foundation for clinical and experimental research in TCM for insulin resistance.