دورية أكاديمية

Inflammatory mediators, lipoproteins and apolipoproteins in early diagnosis of amyotrophic lateral sclerosis

التفاصيل البيبلوغرافية
العنوان: Inflammatory mediators, lipoproteins and apolipoproteins in early diagnosis of amyotrophic lateral sclerosis
المؤلفون: Hugo Alarcan, Mélanie Berthet, Laura Suire, Corentin Colas, Loïc Gonzalez, Christophe Paget, Isabelle Benz-de Bretagne, Eric Piver, Patrick Vourc'h, Christian Andres, Philippe Corcia, Hélène Blasco
المصدر: SLAS Technology, Vol 27, Iss 5, Pp 327-334 (2022)
بيانات النشر: Elsevier, 2022.
سنة النشر: 2022
المجموعة: LCC:Biotechnology
LCC:Medical technology
مصطلحات موضوعية: Amyotrophic lateral sclerosis, Lipids, Apolipoproteins, Inflammatory mediators, PLS-DA, Biotechnology, TP248.13-248.65, Medical technology, R855-855.5
الوصف: There is currently no diagnostic or prognostic biomarker available in clinical practice for Amyotrophic Lateral Sclerosis (ALS). The objective of this study was to monitor a combination of various inflammatory markers, lipids, and apolipoproteins alterations in ALS patients at the time of diagnosis, to assess their role as early diagnostic or prognostic biomarker candidates. C-reactive protein, orosomucoid, prealbumin, calprotectin, lipids and apoliproteins were determined in the blood of all subjects (25 ALS patients, 23 controls) as routinely performed in our laboratory. Inflammatory mediators were evaluated by a bead-based multiplex assay. A two-step approach was used for each analytical strategy: univariate analysis followed by multivariate analysis. Eight features were significantly different between ALS patients and controls, sometimes with important fold changes. The supervised Partial least Squares Discriminant Analysis separated ALS and controls with great accuracy (94 %) and the permutation test was significant (p < 0.01), ensuring the robustness of the model. The prediction model leads to a mean sensitivity and specificity of 90 (+/- 10) and 78 (+/- 10) %, respectively, with a mean predictive positive value and negative predictive value of 80 (+/- 8.9) and 89 (+/- 11.8) %, respectively. However, the models did not discriminate subgroups of ALS patients based on ALS characteristics. This study highlights the usefulness of evaluating a combination of multiple pathways rather than focusing on a single target. These promising results suggest the need for the longitudinal monitoring of these candidates to determine their role in disease evolution.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2472-6303
العلاقة: http://www.sciencedirect.com/science/article/pii/S2472630322051652Test; https://doaj.org/toc/2472-6303Test
DOI: 10.1016/j.slast.2022.07.003
الوصول الحر: https://doaj.org/article/4b0344ff01fa407e8e2260af0b16eab3Test
رقم الانضمام: edsdoj.4b0344ff01fa407e8e2260af0b16eab3
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24726303
DOI:10.1016/j.slast.2022.07.003