Infrared Spectroscopic Study and Mathematical Simulations of Carotid Atherosclerosis

In Vivo. 2022 Jan-Feb;36(1):189-197. doi: 10.21873/invivo.12690.

Abstract

Background/aim: The pathogenesis, treatment and prevention of atherosclerosis continue to be the subject of intensive research and study by the scientific community. Based on Fourier-transform infrared spectra and 3D-Doppler echogram, we attempted to develop a computational simulation model for predicting the association of atherosclerotic risk factors with pathogenic molecular structural changes.

Materials and methods: Atheromatic carotid arteries from 56 patients (60-85 years old) were used as samples. Color 3D-Doppler echogram screening was performed on all patients preoperatively. Each infrared spectrum consisted of 120 co-added spectra at a spectral resolution of 4 cm-1 Results: The infrared spectral analysis reveals 'marker bands', such as the 1,744 cm-1 band assigned to aldehyde formation and to the 'fingerprint' digital spectral region of 1,050-1,169 cm-1, characteristic of the presence of advanced glycation end products (C-O-C). The accumulation of calcium phosphate salts increases the formation rate of stenosis. The critical point of stenosis risk starts at about 45%, while when stenosis is over 60-70%, the risk of ischemic stroke or other major adverse cardiovascular events increases dramatically.

Conclusion: Fourier-transform infrared spectroscopy and mathematical simulation models showed that carotid artery stenosis over 45% reduces the blood flow rate, while stenosis over 65% dramatically increases the hemodynamic disturbance, with a parallel increase the rate of ischemic stroke or other major adverse cardiovascular events.

Keywords: 3D-Doppler echogram; FT-IR spectroscopy; blood flow; carotid atherosclerosis; mathematical simulations.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Atherosclerosis* / diagnostic imaging
  • Carotid Arteries / diagnostic imaging
  • Carotid Artery Diseases* / diagnostic imaging
  • Carotid Stenosis* / diagnostic imaging
  • Humans
  • Middle Aged
  • Spectroscopy, Fourier Transform Infrared
  • Stroke*