Articles producció científica> Medicina i Cirurgia

Characterization of ¹H NMR plasma glycoproteins as a new strategy to identify inflammatory patterns in rheumatoid arthritis.

  • Identification data

    Identifier: imarina:5251774
    Authors:
    Fuertes-Martín R, Taverner D, Vallvé JC, Paredes S, Masana L, Correig Blanchar X, Amigó Grau N
    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.
  • Others:

    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: 2024-09-07
    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: https://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
  • Keywords:

    Biochemical Research Methods,Biochemistry,Chemistry (Miscellaneous)
    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
    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
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