Articles producció científica> Medicina i Cirurgia

Glycoprotein Profile Measured by a H-1-Nuclear Magnetic Resonance Based on Approach in Patients with Diabetes: A New Robust Method to Assess Inflammation

  • Identification data

    Identifier: imarina:9242624
    Authors:
    Amigo, NuriaFuertes-Martin, RocioMalo, Ana IrenePlana, NuriaIbarretxe, DaianaGirona, JosefaCorreig, XavierMasana, Lluis
    Abstract:
    Patients with type 2 diabetes mellitus (T2DM) and atherogenic dyslipidemia (AD) are at higher risk of developing cardiovascular diseases (CVDs), so an interest in discovering inflammation biomarkers as indicators of processes related to CVD progression is increasing. This study aims (a) to characterize the plasma glycoprotein profile of a cohort of 504 participants, including patients with and without T2DM and/or AD and controls, and (b) to study the associations between the glycoprotein profile and other lipid and clinical variables in these populations. We characterized the plasma glycoprotein profiles by using H-1-NMR. We quantified the two peaks associated with the concentration of plasma glycoproteins (GlycA and GlycB) and their height/width ratios (H/W GlycA and H/W GlycB), as higher and narrower signals have been related to inflammation. We also quantified GlycF, the signal of which is proportional to the concentration of the acetyl groups of free N-acetylglucosamine, N-acetylgalactosamine, and N-acetylneuraminic in the samples. The lipoprotein profile was also determined (Liposcale(R)). Standard clinical and anthropometric measurements were taken. Multivariate classification models were developed to study the differences between the study groups. Reduced HDL-C levels, increased small dense LDL and HDL particles, and elevated TG levels were significantly associated with glycoprotein variables. Glycoprotein values in the diagnostic groups were significantly different from those in the CT groups. AD and DM conditions together contribute to a positive and significant synergetic effect on the GlycA area (<0.05) and the H/W ratios of GlycA (<0.01) and GlycB (<0.05). By adding the new glycoprotein variables to the traditionally used marker of inflammation C-reactive pr
  • Others:

    Author, as appears in the article.: Amigo, Nuria; Fuertes-Martin, Rocio; Malo, Ana Irene; Plana, Nuria; Ibarretxe, Daiana; Girona, Josefa; Correig, Xavier; Masana, Lluis;
    Department: Medicina i Cirurgia Enginyeria Electrònica, Elèctrica i Automàtica Ciències Mèdiques Bàsiques
    URV's Author/s: Correig Blanchar, Francesc Xavier / Girona Tell, Josefa / Ibarretxe Gerediaga, Daiana / Malo Cerisuelo, Ana Irene / Masana Marín, Luis / Plana Gil, Núria
    Keywords: Systemic inflammation Risk Prevention Prediction Metabolomics H-nmr H-1-nmr Glycoproteins Glycemia Glyca Dyslipidemia Diabetes Crp C-reactive protein Biomarker
    Abstract: Patients with type 2 diabetes mellitus (T2DM) and atherogenic dyslipidemia (AD) are at higher risk of developing cardiovascular diseases (CVDs), so an interest in discovering inflammation biomarkers as indicators of processes related to CVD progression is increasing. This study aims (a) to characterize the plasma glycoprotein profile of a cohort of 504 participants, including patients with and without T2DM and/or AD and controls, and (b) to study the associations between the glycoprotein profile and other lipid and clinical variables in these populations. We characterized the plasma glycoprotein profiles by using H-1-NMR. We quantified the two peaks associated with the concentration of plasma glycoproteins (GlycA and GlycB) and their height/width ratios (H/W GlycA and H/W GlycB), as higher and narrower signals have been related to inflammation. We also quantified GlycF, the signal of which is proportional to the concentration of the acetyl groups of free N-acetylglucosamine, N-acetylgalactosamine, and N-acetylneuraminic in the samples. The lipoprotein profile was also determined (Liposcale(R)). Standard clinical and anthropometric measurements were taken. Multivariate classification models were developed to study the differences between the study groups. Reduced HDL-C levels, increased small dense LDL and HDL particles, and elevated TG levels were significantly associated with glycoprotein variables. Glycoprotein values in the diagnostic groups were significantly different from those in the CT groups. AD and DM conditions together contribute to a positive and significant synergetic effect on the GlycA area (<0.05) and the H/W ratios of GlycA (<0.01) and GlycB (<0.05). By adding the new glycoprotein variables to the traditionally used marker of inflammation C-reactive protein (CRP), the AUC increased sharply for classification models between the CT group and the rest (0.68 to 0.84), patients with and without dyslipidemia (0.54 to 0.86), and between patients with and without diabetes (0.55 to 0.75). H-1-NMR-derived glycoproteins can be used as possible markers of the degree of inflammation associated with T2DM and AD.
    Thematic Areas: Space and planetary science Paleontology General biochemistry,genetics and molecular biology Ecology, evolution, behavior and systematics Biology Biochemistry, genetics and molecular biology (miscellaneous) Biochemistry, genetics and molecular biology (all)
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: daiana.ibarretxe@urv.cat luis.masana@urv.cat josefa.girona@urv.cat anairene.malo@estudiants.urv.cat josefa.girona@urv.cat xavier.correig@urv.cat
    Author identifier: 0000-0002-0789-4954 0000-0002-6267-8779 0000-0002-6267-8779 0000-0002-6902-3054
    Record's date: 2024-07-27
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/2075-1729/11/12/1407
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Life. 11 (12):
    APA: Amigo, Nuria; Fuertes-Martin, Rocio; Malo, Ana Irene; Plana, Nuria; Ibarretxe, Daiana; Girona, Josefa; Correig, Xavier; Masana, Lluis; (2021). Glycoprotein Profile Measured by a H-1-Nuclear Magnetic Resonance Based on Approach in Patients with Diabetes: A New Robust Method to Assess Inflammation. Life, 11(12), -. DOI: 10.3390/life11121407
    Article's DOI: 10.3390/life11121407
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2021
    Publication Type: Journal Publications
  • Keywords:

    Biochemistry, Genetics and Molecular Biology (Miscellaneous),Biology,Ecology, Evolution, Behavior and Systematics,Paleontology,Space and Planetary Science
    Systemic inflammation
    Risk
    Prevention
    Prediction
    Metabolomics
    H-nmr
    H-1-nmr
    Glycoproteins
    Glycemia
    Glyca
    Dyslipidemia
    Diabetes
    Crp
    C-reactive protein
    Biomarker
    Space and planetary science
    Paleontology
    General biochemistry,genetics and molecular biology
    Ecology, evolution, behavior and systematics
    Biology
    Biochemistry, genetics and molecular biology (miscellaneous)
    Biochemistry, genetics and molecular biology (all)
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