دورية أكاديمية
Combination protein biomarkers predict multiple sclerosis diagnosis and outcomes
| العنوان: | Combination protein biomarkers predict multiple sclerosis diagnosis and outcomes |
|---|---|
| المؤلفون: | Kodosaki, E, Watkins, WJ, Loveless, S, Kreft, KL, Richards, A, Anderson, V, Hurler, L, Robertson, NP, Zelek, WM, Tallantyre, EC |
| المصدر: | Journal of Neuroinflammation , 21 , Article 52. (2024) |
| بيانات النشر: | Springer Science and Business Media LLC |
| سنة النشر: | 2024 |
| المجموعة: | University College London: UCL Discovery |
| مصطلحات موضوعية: | Biomarkers, Cerebrospinal fluid, Complement, Multiple sclerosis, Prediction, Serum, Humans, Osteopontin, Vitamin D-Binding Protein, Chitinases, Recurrence |
| الوصف: | Establishing biomarkers to predict multiple sclerosis diagnosis and prognosis has been challenging using a single biomarker approach. We hypothesised that a combination of biomarkers would increase the accuracy of prediction models to differentiate multiple sclerosis from other neurological disorders and enhance prognostication for people with multiple sclerosis. We measured 24 fluid biomarkers in the blood and cerebrospinal fluid of 77 people with multiple sclerosis and 80 people with other neurological disorders, using ELISA or Single Molecule Array assays. Primary outcomes were multiple sclerosis versus any other diagnosis, time to first relapse, and time to disability milestone (Expanded Disability Status Scale 6), adjusted for age and sex. Multivariate prediction models were calculated using the area under the curve value for diagnostic prediction, and concordance statistics (the percentage of each pair of events that are correctly ordered in time for each of the Cox regression models) for prognostic predictions. Predictions using combinations of biomarkers were considerably better than single biomarker predictions. The combination of cerebrospinal fluid [chitinase-3-like-1 + TNF-receptor-1 + CD27] and serum [osteopontin + MCP-1] had an area under the curve of 0.97 for diagnosis of multiple sclerosis, compared to the best discriminative single marker in blood (osteopontin: area under the curve 0.84) and in cerebrospinal fluid (chitinase-3-like-1 area under the curve 0.84). Prediction for time to next relapse was optimal with a combination of cerebrospinal fluid[vitamin D binding protein + Factor I + C1inhibitor] + serum[Factor B + Interleukin-4 + C1inhibitor] (concordance 0.80), and time to Expanded Disability Status Scale 6 with cerebrospinal fluid [C9 + Neurofilament-light] + serum[chitinase-3-like-1 + CCL27 + vitamin D binding protein + C1inhibitor] (concordance 0.98). A combination of fluid biomarkers has a higher accuracy to differentiate multiple sclerosis from other neurological disorders and ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://discovery.ucl.ac.uk/id/eprint/10188303/1/s12974-024-03036-4.pdfTest; https://discovery.ucl.ac.uk/id/eprint/10188303Test/ |
| الإتاحة: | https://discovery.ucl.ac.uk/id/eprint/10188303/1/s12974-024-03036-4.pdfTest https://discovery.ucl.ac.uk/id/eprint/10188303Test/ |
| حقوق: | open |
| رقم الانضمام: | edsbas.FB0AE8C3 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |