Measurement of anti-suprabasin antibodies, multiple cytokines and chemokines as potential predictive biomarkers for neuropsychiatric systemic lupus erythematosus

Copyright © 2022 Elsevier Inc. All rights reserved.

Bibliographische Detailangaben
Veröffentlicht in:Clinical immunology (Orlando, Fla.). - 1999. - 237(2022) vom: 10. Apr., Seite 108980
1. Verfasser: Hoang, Trang T T (VerfasserIn)
Weitere Verfasser: Ichinose, Kunihiro, Morimoto, Shimpei, Furukawa, Kaori, Le, Ly H T, Kawakami, Atsushi
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:Clinical immunology (Orlando, Fla.)
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Bayesian posterior predictive values Chemokines Cytokines NPSLE SOIL Suprabasin Biomarkers
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245 1 0 |a Measurement of anti-suprabasin antibodies, multiple cytokines and chemokines as potential predictive biomarkers for neuropsychiatric systemic lupus erythematosus 
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520 |a Neuropsychiatric systemic lupus erythematosus (NPSLE) varies in presentation and is one of the leading causes of morbidity and mortality among patients with SLE. This study determined the most critical serum biomarkers for the development of NPSLE as they may have clinical utility prior to the onset of neuropsychiatric symptoms. We retrospectively analyzed 35 NPSLE patients, 34 SLE patients, 20 viral meningitis (VM) patients, and 16 relapsing-remitting multiple sclerosis (MS) patients. We measured anti-suprabasin antibodies concentrations in serum by using Luciferase immunoprecipitation system (LIPS) assay. The serum concentrations of cytokines/chemokines were measured by using multiplex bead-based assay. We found serum FGF-2 level was significantly higher in the NPSLE group compared to the SLE group and the healthy control group. The anti-suprabasin antibody relative concentration (SRC) has high positive predictive values for the development of NPSLE. The most essential biomarkers are VEGF, anti-suprabasin antibodies, sCD40L, IL-10, GRO, MDC, IL-8, IL-9, TNF-α, MIP-1α 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Bayesian posterior predictive values 
650 4 |a Chemokines 
650 4 |a Cytokines 
650 4 |a NPSLE 
650 4 |a SOIL 
650 4 |a Suprabasin 
650 7 |a Biomarkers  |2 NLM 
650 7 |a Chemokines  |2 NLM 
650 7 |a Cytokines  |2 NLM 
700 1 |a Ichinose, Kunihiro  |e verfasserin  |4 aut 
700 1 |a Morimoto, Shimpei  |e verfasserin  |4 aut 
700 1 |a Furukawa, Kaori  |e verfasserin  |4 aut 
700 1 |a Le, Ly H T  |e verfasserin  |4 aut 
700 1 |a Kawakami, Atsushi  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Clinical immunology (Orlando, Fla.)  |d 1999  |g 237(2022) vom: 10. Apr., Seite 108980  |w (DE-627)NLM098196855  |x 1521-7035  |7 nnns 
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856 4 0 |u http://dx.doi.org/10.1016/j.clim.2022.108980  |3 Volltext 
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