Author, as appears in the article.: Fuertes-Martín R, Taverner D, Vallvé JC, Paredes S, Masana L, Correig Blanchar X, Amigó Grau N

Department: Ciències Mèdiques Bàsiques Medicina i Cirurgia

URV's Author/s: Masana Marín, Luis

Keywords: Risk Rheumatoid arthritis (ra) Proton nuclear magnetic resonance (h-1 nmr) Proton nuclear magnetic resonance ( h nmr) 1 Mechanisms Ldl cholesterol Inflammation Hdl Glycosylation Glycoprotein Glyca Cardiovascular-disease C-reactive protein Biomarker Acute-phase glycoproteins proton nuclear magnetic resonance (1h nmr) inflammation glycoprotein

Abstract: Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease associated with a high index of morbidity and mortality from cardiovascular diseases. We used 1H NMR to characterize the plasma glycoprotein and lipoprotein profiles of a cohort of patients with RA (n = 210) versus healthy individuals (n = 203) to associate them with the RA disease and its severity. Using 1H NMR, we developed a line-shape method to characterize the two peaks associated with glycoproteins (GlycA and GlycB) and its derived variables: areas of GlycB (Area GlycB) and GlycA (Area GlycA), shape factors of these two peaks (H/W = height/width), and the distance between them (Distance GlycB-GlycA). We also used the advanced lipoprotein test Liposcale (CE) to characterize the lipoprotein subclasses. The standard lipid panel and traditional inflammatory markers such as C-reactive protein, the erythrocyte sedimentation rate, fibrinogen, the rheumatoid factor, anticitrullinated peptide antibodies, and the DAS28 index have also been determined. RA patients presented a significant 10.65% increase in the GlycA associated area compared with the control group (p = 2.21 × 10-10). They also presented significantly higher H/W GlycA and GlycB ratios than the control population (H/W GlycB p = 7.88 × 10-8; H/W GlycA p = 5.61 × 10-8). The prediction model that uses the traditional inflammatory variables and the 1H NMR-derived parameters presented an AUC that was almost 10% higher than the model that only uses the traditional inflammatory variables (from 0.7 to 0.79 AUC). We have demonstrated that GlycA and GlycB variables derived from 1H NMR, along with classic inflammatory parameters, help to improve the classification of individuals with high RA disease activity.

Thematic Areas: Química Odontología Medicina veterinaria Medicina ii Medicina i Interdisciplinar General chemistry Farmacia Engenharias iii Engenharias ii Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry (miscellaneous) Chemistry (all) Biotecnología Biodiversidade Biochemistry Biochemical research methods Astronomia / física

licence for use: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 15353893

Author's mail: luis.masana@urv.cat

Author identifier: 0000-0002-0789-4954

Record's date: 2023-02-18

Papper version: info:eu-repo/semantics/acceptedVersion

Link to the original source: https://pubs.acs.org/doi/10.1021/acs.jproteome.8b00411

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Papper original source: Journal Of Proteome Research. 17 (11): 3730-3739

APA: Fuertes-Martín R, Taverner D, Vallvé JC, Paredes S, Masana L, Correig Blanchar X, Amigó Grau N (2018). Characterization of ¹H NMR plasma glycoproteins as a new strategy to identify inflammatory patterns in rheumatoid arthritis.. Journal Of Proteome Research, 17(11), 3730-3739. DOI: 10.1021/acs.jproteome.8b00411

Article's DOI: 10.1021/acs.jproteome.8b00411

Entity: Universitat Rovira i Virgili

Journal publication year: 2018

Publication Type: Journal Publications