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231225s2017 xx |||||o 00| ||eng c |
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|a 10.1016/j.clim.2017.08.011
|2 doi
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|a pubmed24n0916.xml
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|a (NLM)28823971
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|a (PII)S1521-6616(17)30257-7
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Lanzillo, Roberta
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Immunometabolic profiling of patients with multiple sclerosis identifies new biomarkers to predict disease activity during treatment with interferon beta-1a
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|c 2017
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 13.12.2017
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|a Date Revised 06.02.2018
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Copyright © 2017 Elsevier Inc. All rights reserved.
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|a Reliable immunologic biomarkers able to monitor disease course during multiple sclerosis (MS) are still missing. We aimed at identifying possible immunometabolic biomarkers able to predict the clinical outcome in MS patients during treatment with interferon (IFN)-beta-1a. We measured in 45 relapsing-remitting (RR) MS patients, blood circulating levels of several immunometabolic markers, at enrolment, and correlated their levels to disease activity and progression over time. Higher levels of interleukin (IL)-6, soluble-CD40-ligand (sCD40L) and leptin at baseline associated with a higher relapse rate and a greater risk of experiencing at least one relapse in the following year. Higher values of soluble tumor necrosis factor receptor (sTNF-R) and leptin at baseline were predictive of a higher number of lesions in the following one-year of follow up. In conclusion, our data suggest that an immunometabolic profiling measuring IL-6, sCD40L, leptin and sTNF-R at baseline, could represent a useful tool to predict disease course in RRMS patients during treatment with IFN-beta-1a
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|a Journal Article
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| 650 |
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4 |
|a Research Support, Non-U.S. Gov't
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| 650 |
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|a Autoimmunity
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| 650 |
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4 |
|a IFN-beta-1a
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| 650 |
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4 |
|a IL-6
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| 650 |
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|a Leptin
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| 650 |
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|a Adjuvants, Immunologic
|2 NLM
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| 650 |
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|a Biomarkers
|2 NLM
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| 650 |
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|a Interferon beta-1a
|2 NLM
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| 650 |
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7 |
|a XRO4566Q4R
|2 NLM
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| 700 |
1 |
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|a Carbone, Fortunata
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Quarantelli, Mario
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bruzzese, Dario
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Carotenuto, Antonio
|e verfasserin
|4 aut
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| 700 |
1 |
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|a De Rosa, Veronica
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Colamatteo, Alessandra
|e verfasserin
|4 aut
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| 700 |
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|a Micillo, Teresa
|e verfasserin
|4 aut
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| 700 |
1 |
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|a De Luca Picione, Carla
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Saccà, Francesco
|e verfasserin
|4 aut
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| 700 |
1 |
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|a De Rosa, Anna
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Moccia, Marcello
|e verfasserin
|4 aut
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| 700 |
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|a Brescia Morra, Vincenzo
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Matarese, Giuseppe
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Clinical immunology (Orlando, Fla.)
|d 1999
|g 183(2017) vom: 15. Okt., Seite 249-253
|w (DE-627)NLM098196855
|x 1521-7035
|7 nnns
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| 773 |
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|g volume:183
|g year:2017
|g day:15
|g month:10
|g pages:249-253
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| 856 |
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|u http://dx.doi.org/10.1016/j.clim.2017.08.011
|3 Volltext
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