Applying spectrochemical analyses on venous disease patients treated by N-Butyl Cyanoacrylate Ablation Surgery

Abstract

BACKGROUND:

The venous disease of the legs is a common disease among adults that may lead to a deterioration in the structure and concentration of biomolecules. N-Butyl Cyanoacrylate Ablation Surgery (NBCA) or cyanoacrylate embolization (CAE) technique to adhesive the saphenous vein is an alternative method for the treatment of venous disease.

OBJECTIVE:

We aimed to show what kind of changes occurs after CAE surgery using FTIR spectroscopy combined chemometrics. We compared before and after surgery blood sera of patients to find whether a correlation between spectral data and laboratory indexes. We studied the blood sera of those who suffered from varicose veins and treated them by CAE technique.

METHODS:

In order to examine the molecular profiles in blood sera who underwent the CAE technique of the great saphenous vein for the treatment we used Fourier Transform InfraRed spectroscopy (FTIR) spectroscopy of blood samples of patients before and after surgery as a fast diagnostic technique. To obtain information about the spectra variation among the types of samples Principal component analysis (PCA) was performed for fingerprint, amide II with amide I regions. To find normality among variations Partial Least Square P-P plot of residual was performed.

RESULTS:

Absorbance values were statistically significant only in amide II, amide I, and OH vibrations. In the blood collected before surgery, higher peaks area of $\alpha$ -helix and $\beta$ -harmonica were noticed. However, in both groups of samples, a higher amount of $\beta$ -harmonica was visible. Pearson correlation analysis showed that the value of white blood cells (WBC) correlate with absorbance at 2858 cm ${}^{-1}$ wavenumber. Moreover, a correlation between neutrophil (NEU) and OH vibrations, and between hematocrit (HCT) and 1082 cm ${}^{-1}$ , were found. Furthermore, a high correlation Platelets (PLT) and FTIR peak at 1165 cm ${}^{-1}$ , was noticed.

CONCLUSIONS:

This methodology suggests with PCA analysis CAE caused structural and quantitative chemical changes in blood samples of patients.