Qualitative and quantitative changes in phospholipids and proteins investigated by spectroscopic techniques in animal depression model

Spectrochim Acta A Mol Biomol Spectrosc. 2017 Apr 5:176:30-37. doi: 10.1016/j.saa.2016.12.007. Epub 2016 Dec 28.

Abstract

Depression becomes nowadays a high mortality civilization disease with one of the major causes being chronic stress. Raman, Fourier Transform Infra Red (FTIR) and Ultraviolet-Visible (UV-vis) spectroscopies were used to determine the changes in the quantity and structure of phospholipids and proteins in the blood serum of rats subjected to chronic mild stress, which is a common animal depression model. Moreover, the efficiency of the imipramine treatment was evaluated. It was found that chronic mild stress not only damages the structure of the phospholipids and proteins, but also decreases their level in the blood serum. A 5weeks imipramine treatment did increase slightly the quantity of proteins, leaving the damaged phospholipids unchanged. Structural information from phospholipids and proteins was obtained by UV-vis spectroscopy combined with the second derivative of the FTIR spectra. Indeed, the structure of proteins in blood serum of stressed rats was normalized after imipramine therapy, while the impaired structure of phospholipids remained unaffected. These findings strongly suggest that the depression factor, which is chronic mild stress, may induce permanent (irreversible) damages into the phospholipid structure identified as shortened carbon chains. This study shows a possible new application of spectroscopic techniques in the diagnosis and therapy monitoring of depression.

Keywords: Chronic mild stress; Depression; Phospholipids; Proteins; Spectroscopy.

MeSH terms

  • Animals
  • Cholesterol / blood
  • Depression / metabolism*
  • Disease Models, Animal
  • Male
  • Phospholipids / blood
  • Phospholipids / metabolism*
  • Proteins / metabolism*
  • Rats, Wistar
  • Spectrophotometry, Ultraviolet
  • Spectroscopy, Fourier Transform Infrared
  • Spectrum Analysis, Raman

Substances

  • Phospholipids
  • Proteins
  • Cholesterol