Raman liquid biopsy: a new approach to the multiple sclerosis diagnostics
Background/objectivesDespite 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 sensi...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1516712/full |
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| author | Anna Neupokoeva Ivan Bratchenko Lyudmila Bratchenko Elena Khivintseva Igor Shirolapov Igor Shirolapov Natalia Shusharina Matvei Khoimov Valery Zakharov Alexander Zakharov Alexander Zakharov |
| author_facet | Anna Neupokoeva Ivan Bratchenko Lyudmila Bratchenko Elena Khivintseva Igor Shirolapov Igor Shirolapov Natalia Shusharina Matvei Khoimov Valery Zakharov Alexander Zakharov Alexander Zakharov |
| author_sort | Anna Neupokoeva |
| collection | DOAJ |
| description | Background/objectivesDespite 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.MethodsThe 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.ResultsUsing 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, 1,048–1,076 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. |
| format | Article |
| id | doaj-art-84bc5795d69c4e99b7d8ed48c7566867 |
| institution | DOAJ |
| issn | 1664-2295 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj-art-84bc5795d69c4e99b7d8ed48c75668672025-08-20T03:10:24ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-04-011610.3389/fneur.2025.15167121516712Raman liquid biopsy: a new approach to the multiple sclerosis diagnosticsAnna Neupokoeva0Ivan Bratchenko1Lyudmila Bratchenko2Elena Khivintseva3Igor Shirolapov4Igor Shirolapov5Natalia Shusharina6Matvei Khoimov7Valery Zakharov8Alexander Zakharov9Alexander Zakharov10Department of Medical Physics, Mathematics and Computer Science, Samara State Medical University, Samara, RussiaLaser and Biotechnical Systems Department, Samara National Research University, Samara, RussiaLaser and Biotechnical Systems Department, Samara National Research University, Samara, RussiaDepartment of Neurology and Neurosurgery, Samara State Medical University, Samara, RussiaDepartment of Physiology, Samara State Medical University, Samara, RussiaResearch Institute of Neurosciences, Samara State Medical University, Samara, RussiaBaltic Center for Neurotecnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, RussiaBaltic Center for Neurotecnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, RussiaLaser and Biotechnical Systems Department, Samara National Research University, Samara, RussiaDepartment of Neurology and Neurosurgery, Samara State Medical University, Samara, RussiaResearch Institute of Neurosciences, Samara State Medical University, Samara, RussiaBackground/objectivesDespite 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.MethodsThe 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.ResultsUsing 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, 1,048–1,076 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.https://www.frontiersin.org/articles/10.3389/fneur.2025.1516712/fullmultiple sclerosissurface enhanced Raman spectroscopyprojection on latent structures-discriminant analysisblood serumdiagnostic test |
| spellingShingle | Anna Neupokoeva Ivan Bratchenko Lyudmila Bratchenko Elena Khivintseva Igor Shirolapov Igor Shirolapov Natalia Shusharina Matvei Khoimov Valery Zakharov Alexander Zakharov Alexander Zakharov Raman liquid biopsy: a new approach to the multiple sclerosis diagnostics Frontiers in Neurology multiple sclerosis surface enhanced Raman spectroscopy projection on latent structures-discriminant analysis blood serum diagnostic test |
| title | Raman liquid biopsy: a new approach to the multiple sclerosis diagnostics |
| title_full | Raman liquid biopsy: a new approach to the multiple sclerosis diagnostics |
| title_fullStr | Raman liquid biopsy: a new approach to the multiple sclerosis diagnostics |
| title_full_unstemmed | Raman liquid biopsy: a new approach to the multiple sclerosis diagnostics |
| title_short | Raman liquid biopsy: a new approach to the multiple sclerosis diagnostics |
| title_sort | raman liquid biopsy a new approach to the multiple sclerosis diagnostics |
| topic | multiple sclerosis surface enhanced Raman spectroscopy projection on latent structures-discriminant analysis blood serum diagnostic test |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2025.1516712/full |
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