Literature DB >> 25586483

GlycA is a Novel Marker of Inflammation Among Non-Critically Ill Hospitalized Patients with Type 2 Diabetes.

Kathleen Dungan1, Philip Binkley, Kwame Osei.   

Abstract

GlycA is a nuclear magnetic resonance-derived signal that originates from oligosaccharide chains of acute phase proteins. The objective of this study is to characterize GlycA levels in hospitalized non-critically ill patients with type 2 diabetes. This study evaluated traditional and novel (GlycA) inflammatory markers among 121 patients who were stratified by admission diagnoses: congestive heart failure (CHF), cardiac non-CHF (CARD), infection (INF), and other (OTH). HbA1c was similar across groups (8.0-9.2%, p=0.20). Inflammatory markers were elevated but varied significantly across disease categories, with the highest values of interleukin-6 (IL-6), c-reactive protein (CRP), and GlycA in the INF group and the highest tumor necrosis factor-α and intracellular adhesion molecule-1 levels in CHF group. GlycA was associated with higher IL-6 and CRP, lower hemoglobin, and lower glomerular filtration rate. GlycA and other inflammatory markers were not significantly associated with admission glucose or HbA1c. Among hospitalized non-critically ill patients with type 2 diabetes, GlycA was highest in INF patients and was associated with IL-6 and CRP. None of the markers were significant predictors of glucose control.

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Year:  2015        PMID: 25586483      PMCID: PMC4425594          DOI: 10.1007/s10753-014-0107-8

Source DB:  PubMed          Journal:  Inflammation        ISSN: 0360-3997            Impact factor:   4.092


  29 in total

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Authors:  Fabrizio Ceciliani; Vanessa Pocacqua
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Review 9.  Tumor necrosis factor activities and cancer therapy--a perspective.

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  9 in total

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Authors:  Rami A Ballout; Alan T Remaley
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Review 7.  GlycA, a novel biomarker of systemic inflammation and cardiovascular disease risk.

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

Authors:  Núria Amigó; Rocío Fuertes-Martín; Ana Irene Malo; Núria Plana; Daiana Ibarretxe; Josefa Girona; Xavier Correig; Lluís Masana
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  9 in total

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