Systolic blood pressure is related to catecholamine sensitivity in subcutaneous abdominal fat cells

Obes Res. 1996 Jan;4(1):21-6. doi: 10.1002/j.1550-8528.1996.tb00508.x.

Abstract

A relationship between abdominal obesity and hypertension is well established. In search for an early-onset defect in adipocyte function linking these two conditions, we compared catecholamine sensitivity in subcutaneous abdominal fat cells with 24-hour systolic, mean arterial and diastolic blood pressure in 16 healthy, normotensive subjects. Clear inter-individual variations in the adipocyte lipolytic adrenoceptor sensitivity (pD2) for noradrenaline were observed in dose-response experiments (i.e., about 4 log units). An inverse and independent correlation was found between the 24-hour systolic blood pressure and pD2 for noradrenaline (r = -0.67, p < 0.01). The mean arterial blood pressure was also negatively correlated to peripheral noradrenaline sensitivity (r = -0.58, p < 0.05). However, no significant relationship between the 24-hour diastolic blood pressure and pD2 for noradrenaline was demonstrated. In conclusion we suggest that catecholamine resistance in subcutaneous fat cells may be associated with autonomic dysfunction and impaired blood pressure regulation. This finding is supported by the fact that both noradrenaline sensitivity and 24-hour systolic blood pressure also are correlated to the individual orthostatic heart rate responses, reflecting the sympathetic nervous system tone (r = 0.61, p = 0.01 and r = -0.53, p = 0.03, respectively). The relationship between noradrenaline sensitivity and systolic blood pressure may be of importance in the early development of hypertension in man.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Abdomen*
  • Adipocytes / drug effects*
  • Adipocytes / metabolism
  • Adult
  • Aging
  • Blood Pressure*
  • Body Constitution
  • Body Mass Index
  • Female
  • Glycerol / metabolism
  • Humans
  • Insulin / blood
  • Male
  • Middle Aged
  • Norepinephrine / pharmacology*
  • Regression Analysis

Substances

  • Insulin
  • Glycerol
  • Norepinephrine