Changes in frequency components of blood flow oscillations in hyperglycemic obese people

T. Mastantuono, E. Muscariello, T. Novellino, D. Lapi, M. Cesarelli, G. D'Addio, L. Iuppariello, A. Colantuoni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Microvascular dysfunctions are responsible for the vascular complications of diabetes, frequently observed in obese subjects. The present study was aimed to assess microvascular skin blood flow and related oscillations in hyperglycemic obese subjects. Twenty-eight normoglycemic controls and twenty-nine hyperglycemic subjects were recruited from our Outpatient Clinics. Anthropometric measurements were evaluated and bioimpedance analysis was performed. Moreover, glycemia, glycated hemoglobin (HbA1c) and basal insulin were measured. Finally, skin microvascular blood flow was determined by a laser Doppler flowmeter and oscillations in flow were analyzed by power spectrum methods. The mean skin blood flow and total power spectral density were lower in the hyperglycemic patients than in normoglycemic controls. Moreover, hyperglycemic subjects showed lower power spectral density of oscillations, related to myogenic activity, compared to the those observed in normoglycemic people. Therefore, hyperglycemia appears to be associated to impaired vascular smooth muscle cell function and alterations in microvascular blood flow regulation.

Original languageEnglish
Title of host publication2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
PublisherIEEE Computer Society
Pages185-186
Number of pages2
ISBN (Print)9781479939695
DOIs
Publication statusPublished - 2014
Event2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 - Trento, Italy
Duration: May 25 2014May 28 2014

Other

Other2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
Country/TerritoryItaly
CityTrento
Period5/25/145/28/14

Keywords

  • blood flow oscillations
  • frequency components
  • Hyperglycemia
  • obesity
  • power spectrum analysis

ASJC Scopus subject areas

  • Biomedical Engineering

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