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ORIGINAL RESEARCH article
Front. Neurol.
Sec. Multiple Sclerosis and Neuroimmunology
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1516712
This article is part of the Research Topic Novel CNS targeting Molecules, Methods, and Therapeutics in Multiple Sclerosis View all 4 articles
Raman Liquid Biopsy: A New Approach To The Multiple Sclerosis Diagnostics
Provisionally accepted
Alexander Zakharov 1*
Anna Neupokoeva 1*
Ivan Bratchenko 2* Lyudmila Bratchenko 1* Elena Khivintseva 1*
Igor Shirolapov 1*
Natalia Shusharina 3*
Matvei Khoimov 3*
Valery Zakharov 2- 1 Samara State Medical University, Samara, Russia
- 2 Samara National Research University, Samara, Russia
- 3 Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Oblast, Russia
Background/Objectives: Despite the prevalence of multiple sclerosis, there is currently no biomarker by which this disease can be reliably identified. Existing diagnostic methods are either expensive or have low specificity. Therefore, the search for a diagnostic method with high specificity and sensitivity, and at the same time not requiring complex sample processing or expensive equipment, is urgent. Methods: The article discusses the use of blood serum surface enhanced Raman spectroscopy in combination with machine learning analysis to separate persons with multiple sclerosis and healthy individuals. As a machine learning method for Raman spectra processing the projection on latent structures-discriminant analysis was used. Results: Using the above methods, we have obtained possibility to separate persons with multiple sclerosis and healthy ones with an average specificity of 0.96 and an average sensitivity of 0.89. The main Raman bands for discrimination against multiple sclerosis and healthy individuals are 632, 721-735, 1048-1076 cm-1. In general, the study of the spectral properties of blood serum using surface enhanced Raman spectroscopy is a promising method for diagnosing multiple sclerosis, however, further detailed studies in this area are required.
Keywords: Multiple Sclerosis, Surface enhanced raman spectroscopy, projection on latent structures-discriminant analysis, blood serum, diagnostic test
Received: 24 Oct 2024; Accepted: 26 Mar 2025.
Copyright: © 2025 Zakharov, Neupokoeva, Bratchenko, Bratchenko, Khivintseva, Shirolapov, Shusharina, Khoimov and Zakharov. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Alexander Zakharov, Samara State Medical University, Samara, Russia
Anna Neupokoeva, Samara State Medical University, Samara, Russia
Ivan Bratchenko, Samara National Research University, Samara, Russia
Lyudmila Bratchenko, Samara State Medical University, Samara, Russia
Elena Khivintseva, Samara State Medical University, Samara, Russia
Igor Shirolapov, Samara State Medical University, Samara, Russia
Natalia Shusharina, Immanuel Kant Baltic Federal University, Kaliningrad, 236041, Kaliningrad Oblast, Russia
Matvei Khoimov, Immanuel Kant Baltic Federal University, Kaliningrad, 236041, Kaliningrad Oblast, Russia
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.