The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
GlycA: A Composite Nuclear Magnetic Resonance Biomarker of Systemic Inflammation
Abstract
BACKGROUND: Nuclear magnetic resonance (NMR) spectra of serum obtained under quantitative conditions for lipoprotein particle analyses contain additional signals that could potentially serve as useful clinical biomarkers. One of these signals that we named GlycA originates from a subset of glycan N-acetylglucosamine residues on enzymatically glycosylated acute-phase proteins. We hypothesized that the amplitude of the GlycA signal might provide a unique and convenient measure of systemic inflammation. METHODS: We developed a spectral deconvolution algorithm to quantify GlycA signal amplitudes from automated NMR LipoProfile® test spectra and assessed analytic precision and biological variability. Spectra of acute-phase glycoproteins and serum fractions were analyzed to probe the origins of the GlycA signal. GlycA concentrations obtained from archived NMR LipoProfile spectra of baseline plasma from 5537 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) were used to assess associations with demographic and laboratory parameters including measures of inflammation. RESULTS: Major acute-phase protein contributors to the serum GlycA signal are α1-acid glycoprotein, haptoglobin, α1-antitrypsin, α1-antichymotrypsin, and transferrin. GlycA concentrations were correlated with high-sensitivity C-reactive protein (hsCRP) (r = 0.56), fibrinogen (r = 0.46), and interleukin-6 (IL-6) (r = 0.35) (all P < 0.0001). Analytic imprecision was low (intra- and interassay CVs 1.9% and 2.6%, respectively) and intraindividual variability, assessed weekly for 5 weeks in 23 healthy volunteers, was 4.3%, lower than for hsCRP (29.2%), cholesterol (5.7%), and triglycerides (18.0%). CONCLUSIONS: GlycA is a unique inflammatory biomarker with analytic and clinical attributes that may complement or provide advantages over existing clinical markers of systemic inflammation.
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Cites
Acute-Phase Proteins and Other Systemic Responses to Inflammation
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Self-citationMulti-Ethnic Study of Atherosclerosis: Objectives and Design
Bild, D. E. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf113 · Cited by 3,942
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C-reactive protein, fibrinogen, and cardiovascular disease prediction
The Emerging Risk Factors Collaboration (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1107477 · Cited by 1,150
Inflammation in Atherosclerosis: From Vascular Biology to Biomarker Discovery and Risk Prediction
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Generation and Application of Data on Biological Variation in Clinical Chemistry
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Self-citationLipoprotein Particle Analysis by Nuclear Magnetic Resonance Spectroscopy
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Holmes, M. V., Millwood, I. Y., Kartsonaki, C., Hill, M. R., Bennett, D. A., Boxall, R., Guo, Y., Xu, X., Bian, Z., Hu, R., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.12.006 · Cited by 508
Inflammation and cardiovascular disease: From mechanisms to therapeutics
Alfaddagh, A., Martin, S. S., Leucker, T. M., Michos, E. D., Blaha, M. J., Lowenstein, C. J., Jones, S. R., & Toth, P. P. (2020) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2020.100130 · Cited by 473
Metabolomic Profiling of Statin Use and Genetic Inhibition of HMG-CoA Reductase
Würtz, P., Wang, Q., Soininen, P., Kangas, A. J., Fatemifar, G., Tynkkynen, T., Tiainen, M., Perola, M., Tillin, T., Hughes, A. D., et al. (2016) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.12.060 · Cited by 188
Röytiö, H., Mokkala, K., Vahlberg, T., & Laitinen, K. (2017) · British Journal Of Nutrition · doi:10.1017/s0007114517002100 · Cited by 128
Lipidomics of triglyceride‐rich lipoproteins derived from hyperlipidemic patients on inflammation
Moreno‐Vedia, J., Llop, D., Rodríguez‐Calvo, R., Plana, N., Amigó, N., Rosales, R., Esteban, Y., Masana, L., Ibarretxe, D., & Girona, J. (2024) · European Journal of Clinical Investigation · doi:10.1111/eci.14132 · Cited by 19
Metadata
- Authors
- Otvos, J. D., Shalaurova, I., Wolak-Dinsmore, J., Connelly, M. A., Mackey, R. H., Stein, J. H., & Tracy, R. P.
- Venue
- Clinical Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-05-01
- Volume
- 61
- Issue
- 5
- Pages
- 714-723
- ISSN
- 0009-9147 (ISSN-L)
- 1530-8561
- OpenAlex
- W2115819915
- Cited by
- 398
- References
- 34
- FWCI
- 10.68
- Type
- journal article
- Language
- en
- Open access
- closed
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