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Antioxidant and anti-inflammatory diagnostic biomarkers in multiple sclerosis

Robotics & Machine Learning Daily News

2020 FEB 11 (NewsRx) -- By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News -- Researchers detail new data in Autoimmune Diseases and Conditions - Multiple Sclerosis. According to news reporting out of Parana, Brazil, by NewsRx editors, research stated, “An imbalance of inflammatory/anti-inflammatory and oxidant/antioxidant molecules has been implicated in the demyelination and axonal damage in multiple sclerosis (MS). The current study aimed to evaluate the plasma levels of tumor necrosis factor (TNF)-alpha, soluble TNF receptor (sTNFR)1, sTNFR2, adiponectin, hydroperoxides, advanced oxidation protein products (AOPP), nitric oxide metabolites, total plasma antioxidant capacity using the total radical-trapping antioxidant parameter (TRAP), sulfhydryl (SH) groups, as well as serum levels of zinc in 174 MS patients and 182 controls.”

Financial support for this research came from Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil (CAPES).

Our news journalists obtained a quote from the research from the University of Londrina, “The results show that MS is characterized by lowered levels of zinc, adiponectin, TRAP, and SH groups and increased levels of AOPP. MS was best predicted by a combination of lowered levels of zinc, adiponectin, TRAP, and SH groups yielding an area under the receiver operating characteristic (AUC/ROC) curve of 0.986 (+/- 0.005). The combination of these four antioxidants with sTNFR2 showed an AUC/ROC of 0.997 and TRAP, adiponectin, and zinc are the most important biomarkers for MS diagnosis followed at a distance by sTNFR2. Support vector machine with tenfold validation performed on the four antioxidants showed a training accuracy of 92.9% and a validation accuracy of 90.6%. The results indicate that lowered levels of those four antioxidants are associated with MS and that these antioxidants are more important biomarkers of MS than TNF-alpha signaling and nitro-oxidative biomarkers. Adiponectin, TRAP, SH groups, zinc, and sTNFR2 play a role in the pathophysiology of MS, and a combination of these biomarkers is useful for predicting MS with high sensitivity, specificity, and accuracy.”

According to the news editors, the research concluded: “Drugs that increase the antioxidant capacity may offer novel therapeutic opportunities for MS.”

For more information on this research see: Antioxidant and Anti-inflammatory Diagnostic Biomarkers In Multiple Sclerosis: a Machine Learning Study. Molecular Neurobiology, 2020;():. Molecular Neurobiology can be contacted at: Springer, 233 Spring St, New York, NY 10013, USA. (Springer - www.springer.com; Molecular Neurobiology - http://www.springerlink.com/content/0893-7648/)

Our news journalists report that additional information may be obtained by contacting E.M.V. Reiche, University of Londrina, Dept Pathol Clin Anal & Toxicol, Health Sciences Center, Ave Robert Koch 60, Br-86038350 Londrina, Parana, Brazil. Additional authors for this research include L. Mezzaroba, T. Flauzino, D.F. Alfieri, W. Pereira, A.P. Kallaur, A.N.C. Simao, S.R. Oliveira, M.A.B. Lozovoy, D.R. Kaimen-Maciel and M. Maes.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s12035-019-01856-7. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)