Targeted proteomics reveals serum amyloid A variants and alarmins S100A8-S100A9 as key plasma biomarkers of rheumatoid arthritis.


Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
01 Nov 2019
Historique:
received: 04 04 2019
revised: 07 06 2019
accepted: 10 06 2019
entrez: 31 7 2019
pubmed: 31 7 2019
medline: 14 1 2020
Statut: ppublish

Résumé

Serum amyloid A (SAA) and S100 (S100A8, S100A9 and S100A12) proteins were previously identified as biomarkers of interest for rheumatoid arthritis (RA). Among SAA family, two closely related isoforms (SAA-1 and SAA-2) are linked to the acute-phase of inflammation. They respectively exist under the form of three (α, β, and γ) and two (α and β) allelic variants. We developed a single run quantitative method for these protein variants and investigated their clinical relevance in the context of RA. The method was developed and validated according to regulations before being applied on plasma coming from RA patients (n = 46), other related inflammatory pathologies (n = 116) and controls (n = 62). Depending on the activity score of RA, SAA1 isoforms (mainly of SAA1α and SAA1β subtypes) were found to be differentially present in plasma revealing their dual role during the development of RA. In addition, the weight of SAA1α in the total SAA response varied from 32 to 80% depending on the pathology studied. A negative correlation between SAA1α and SAA1β was also highlighted for RA early-onset (r = -0.41). SAA2 and S100A8/S100A9 proteins were significantly overexpressed compared to control samples regardless of RA stage. The pathophysiological relevance of these quantitative and qualitative characteristics of the SAA response remains unknown. However, the significant negative correlation observed between SAA1α and SAA1β levels in RA early-onset suggests the existence of still unknown regulatory mechanisms in these diseases.

Identifiants

pubmed: 31357327
pii: S0039-9140(19)30669-1
doi: 10.1016/j.talanta.2019.06.044
pii:
doi:

Substances chimiques

Alarmins 0
Biomarkers 0
Calgranulin A 0
Calgranulin B 0
S100A8 protein, human 0
S100A9 protein, human 0
Serum Amyloid A Protein 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

507-517

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Gwenaël Nys (G)

Laboratory for the Analysis of Medicines, Center for Interdisciplinary Research on Medicines (CIRM), ULiege, Quartier Hopital, Avenue Hippocrate 15, 4000 Liege, Belgium.

Gaël Cobraiville (G)

Laboratory for the Analysis of Medicines, Center for Interdisciplinary Research on Medicines (CIRM), ULiege, Quartier Hopital, Avenue Hippocrate 15, 4000 Liege, Belgium; Laboratory of Rheumatology, GIGA-Inflammation, Infection & Immunity, ULiege and CHU de Liege, Quartier Hopital, Avenue Hippocrate 15, 4000 Liege, Belgium.

Anne-Catherine Servais (AC)

Laboratory for the Analysis of Medicines, Center for Interdisciplinary Research on Medicines (CIRM), ULiege, Quartier Hopital, Avenue Hippocrate 15, 4000 Liege, Belgium.

Michel G Malaise (MG)

Laboratory of Rheumatology, GIGA-Inflammation, Infection & Immunity, ULiege and CHU de Liege, Quartier Hopital, Avenue Hippocrate 15, 4000 Liege, Belgium.

Dominique de Seny (D)

Laboratory of Rheumatology, GIGA-Inflammation, Infection & Immunity, ULiege and CHU de Liege, Quartier Hopital, Avenue Hippocrate 15, 4000 Liege, Belgium.

Marianne Fillet (M)

Laboratory for the Analysis of Medicines, Center for Interdisciplinary Research on Medicines (CIRM), ULiege, Quartier Hopital, Avenue Hippocrate 15, 4000 Liege, Belgium. Electronic address: marianne.fillet@uliege.be.

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Classifications MeSH