A Linear Predictor Based on FTIR Spectral Biomarkers Improves Disease Diagnosis Classification
An Application to Multiple Sclerosis
Bibliographic Data
| ID | 23211468 |
|---|---|
| Authors | Eric J Kondratieff (corresponding author), Francesca Condino (0000-0001-7814-7799, University of Calabria), Maria Caterina Crocco (0000-0002-9923-2754, STAR Research Infrastructure, University of Calabria, 87036 Rende, Italy), Domenico Pirritano (SOC Neurologia, Azienda Ospedaliero-Universitaria Renato Dulbecco, 88100 Catanzaro, Italy), Alfredo Petrone (UOC Neurologia, Azienda Ospedaliera dell’Annunziata, 87100 Cosenza, Italy), Francesco Del Giudice (0000-0003-3865-5988, UOC Neurologia, Azienda Ospedaliera dell’Annunziata, 87100 Cosenza, Italy), Rita Guzzi (0000-0001-6769-3399, STAR Research Infrastructure, University of Calabria, 87036 Rende, Italy) |
| Year | 2023 |
| Volume | 13 |
| Issue | 11 |
| Pages | 1596 |
| Publication date | 2023-11-11 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Personalized Medicine (JOURNAL) |
| Journal identifiers | ISSN: 2075-4426 • E-ISSN: 2075-4426 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/jpm13111596 |
| OpenAlex | W38003911 |
| Language | EN |
| Citations received | 1 |
| References cited | 38 |
Multiple sclerosis (MS) is a neurodegenerative disease of the central nervous system that can lead to long-term disability. The diagnosis of MS is not simple and requires many instrumental and clinical tests. Sampling easily collected biofluids using spectroscopic approaches is becoming of increasing interest in the medical field to integrate and improve diagnostic procedures. Here we present a statistical approach where we combine a number of spectral biomarkers derived from the ATR-FTIR spectra of blood plasma samples of healthy control subjects and MS patients, to obtain a linear predictor useful for discriminating between the two groups of individuals. This predictor provides a simple tool in which the contribution of different molecular components is summarized and, as a result, the sensitivity (80%) and specificity (93%) of the identification are significantly improved compared to those obtained with typical classification algorithms. The strategy proposed can be very helpful when applied to the diagnosis of diseases whose presence is reflected in a minimal way in the analyzed biofluids (blood and its derivatives), as it is for MS as well as for other neurological disorders.
Action (physics) · Physics · Political science · Power (physics) · European Political History Analysis
| Citations per year | 0.06 |
|---|---|
| Citation span | 2009 - 2009 (1) |
| Highly cited | No |