151174 20251017144609.0 doi 10.3390/jpm11040295 sideral 125283 ART-2021-125283 eng Annesi, Ferdinanda Thermal Liquid Biopsy (TLB) of Blood Plasma as a Potential Tool to Help in the Early Diagnosis of Multiple Sclerosis 2021 Access copy available to the general public Unrestricted Background: Multiple sclerosis (MS) is frequently characterized by a variety of clinical signs, often exhibiting little specificity. The diagnosis requires a combination of medical observations and instrumental tests, and any support for its objective assessment is helpful. Objective: Herein, we describe the application of thermal liquid biopsy (TLB) of blood plasma samples, a methodology for predicting the occurrence of MS with a noninvasive, quick blood test. Methods: TLB allows one to define an index (TLB score), which provides information about overall real-time alterations in plasma proteome that may be indicative of MS. Results: This pilot study, based on 85 subjects (45 MS patients and 40 controls), showed good performance indexes (sensitivity and specificity both around 70%). The diagnostic methods better discriminate between early stage and low-burden MS patients, and it is not influenced by gender, age, or assumption of therapeutic drugs. TLB is more accurate for patients having low disability level (\u2264 3.0, measured by the expanded disability status scale, EDSS) and a relapsing-remitting diagnosis. Conclusion: Our results suggest that TLB can be applied to MS, especially in an initial phase of the disease when diagnosis is difficult and yet more important (in such cases, accuracy of prediction is close to 80%), as well as in personalized patient periodic monitoring. The next step will be determining its utility in differentiating between MS and other disorders, in particular in inflammatory diseases. info:eu-repo/grantAgreement/ES/DGA/B25-20R info:eu-repo/grantAgreement/ES/DGA/E45-20R info:eu-repo/grantAgreement/ES/ISCIII-ERDF-ESF/PI15-00663-Investing in your future info:eu-repo/grantAgreement/ES/ISCIII-ERDF-ESF/PI18-00349-Investing in your future info:eu-repo/grantAgreement/ES/ISCIII-FIS/FI19-00146 info:eu-repo/grantAgreement/ES/MCIU-AEI-FEDER/BFU2016-78232-P info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 3.508 2021 MEDICINE, GENERAL & INTERNAL 69 / 172 = 0.401 2021 Q2 T2 HEALTH CARE SCIENCES & SERVICES 42 / 110 = 0.382 2021 Q2 T2 0.757 2021 Medicine (miscellaneous) 2021 Q2 1.8 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Hermoso-Durán, Sonia Rizzuti, Bruno Bruno, Rosalinda Pirritano, Domenico Petrone, Alfredo Del Giudice, Francesco Ojeda, Jorge Universidad de Zaragoza (orcid)0000-0003-0853-2880 Vega, Sonia (orcid)0000-0002-1232-6310 Sanchez-Gracia, Oscar Velazquez-Campoy, Adrian Universidad de Zaragoza (orcid)0000-0001-5702-4538 Abian, Olga Universidad de Zaragoza (orcid)0000-0001-5664-1729 Guzzi, Rita 2007 265 Universidad de Zaragoza Dpto. Métodos Estadísticos Área Estadís. Investig. Opera. 1002 060 Universidad de Zaragoza Dpto. Bioq.Biolog.Mol. Celular Área Bioquímica y Biolog.Mole. 11, 4 (2021), 295 [16 pp.] J. pers. med. Journal of Personalized Medicine 2075-4426 2848235 http://zaguan.unizar.es/record/151174/files/texto_completo.pdf Versión publicada 2705837 http://zaguan.unizar.es/record/151174/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:151174 articulos driver 2025-10-17-14:16:42 ARTICLE