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Dataset
NMR spectroscopy-based lipoprotein and glycoprotein biomarkers differentiate acute and chronic inflammation in diverse healthy and disease population cohorts
Zenodo
22/04/2025
Abstract
Understanding the distribution and variation in NMR-based inflammatory markers is crucial in the evaluation of their clinical utility in disease prognosis and diagnosis. We applied high resolution 1H NMR spectroscopy of blood plasma and serum to measure the acute phase reactive glycoprotein signals (GlycA and GlycB) and the subregions of the lipoprotein based Supramolecular Phospholipid Composite signals (SPC1, SPC2 and SPC3) in a large multi-cohort population study. A total of 5702 samples were measured to determine the signal variations in a range of chronic and acute inflammatory conditions. We found that while the GlycA and GlycB were increased in inflammation, the SPC regions behaved independently of Glyc signals, with SPC2 and SPC3 being reduced in chronic inflammation in comparison to healthy controls (p-value SPC2=2.9x10-10, p-value SPC3=2.2x10-3) and SPC1 (p-value=0.29) being unchanged. SPC1 was decreased in acute inflammation indicating a link to the immune response (p-value=2.5x10-11). These findings confirm the independent biological relevance of all 3 SPC subregions and contraindicate the use of aggregate SPC values as general inflammatory markers.
Details
- Title
- NMR spectroscopy-based lipoprotein and glycoprotein biomarkers differentiate acute and chronic inflammation in diverse healthy and disease population cohorts
- Authors/Creators
- Samantha Lodge - Murdoch UniversityJulien Wist - Imperial College LondonElaine Holmes - Murdoch University, Centre for Computational and Systems MedicineJeremy Kirk Nicholson - Imperial College London
- Publisher
- Zenodo
- Identifiers
- 991005781126607891
- Murdoch Affiliation
- Health Futures Institute; Centre for Computational and Systems Medicine
- Language
- English
- Resource Type
- Dataset
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