Application of infrared spectroscopy and multivariant analysis to study of serum for patients with epilepsy

• Published in: Nauchno-tekhnicheskiĭ vestnik informat͡s︡ionnykh tekhnologiĭ, mekhaniki i optiki mekhaniki i optiki, 2019-06, Vol.19 (3), p.402-409
• Main Authors: Nosenko, T.N., Sitnikova, V.E., Olekhnovich, R.O., Uspenskaya, M.V.
• Format: Article
• Language: English
• Subjects: epilepsy; IR spectroscopy; multivariate analysis; PCA; PLS; serum
• ISSN: 2226-1494; 2500-0373
• DOI: 10.17586/2226-1494-2019-19-3-402-409

Epilepsy is a group of chronic neurological diseases that manifest themselves in the body’s susceptibility to the sudden onset of convulsive seizures. The pathogenesis of this disease is based on paroxysmal discharges in the brain neurons. Epilepsy is characterized by a difference in the level of peripheral blood autoantibodies (aAT) to the level of the glutamate receptor GluR1, which is a subunit of AMPA receptors (GluR1) and an increased level of IgG and IgM immunoglobulins between the group of patients with epilepsy and the group of healthy ones. We analyzed the serum of 30 healthy donors and 70 patients with epilepsy. The method of IR-spectroscopy in combination with multivariate analysis is proposed as a diagnostic method. In the course of the work, the following types of multivariate analysis were used to assess the correct probability of diagnosis: the principal component method (PCA) and the projection onto latent structures (PLS) method. Each of the presented methods gives the best results when using the first derivative of the spectra in the whole spectrum range. When analyzing this sample by regression procedures, the sensitivity was 100 % and the specificity of analysis was 76.9%.