NMR Spectroscopy-Based Lipoprotein and Glycoprotein Biomarkers Differentiate Acute and Chronic Inflammation in Diverse Healthy and Disease Population Cohorts

Samantha Lodge; Reika Masuda; Philipp Nitschke; John P Beilby; Jennie Hui; Michael Hunter; Edward Litton; Edward Raby; Andrew Currie; Bu B Yeap; Oscar Millet; Claire Cannet; Hartmut Schaefer; Manfred Spraul; Elaine Holmes; Julien Wist; Jeremy K Nicholson

doi:10.1021/acs.jproteome.5c00300

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NMR Spectroscopy-Based Lipoprotein and Glycoprotein Biomarkers Differentiate Acute and Chronic Inflammation in Diverse Healthy and Disease Population Cohorts

Journal article

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NMR Spectroscopy-Based Lipoprotein and Glycoprotein Biomarkers Differentiate Acute and Chronic Inflammation in Diverse Healthy and Disease Population Cohorts

Samantha Lodge, Reika Masuda, Philipp Nitschke, John P Beilby, Jennie Hui, Michael Hunter, Edward Litton, Edward Raby, Andrew Currie, Bu B Yeap, …

Journal of proteome research, Vol.24(8), pp.4191-4201

2025

DOI: https://doi.org/10.1021/acs.jproteome.5c00300

PMID: 40700744

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Abstract

Supramolecular Phospholipid Composite signals

blood plasma metabolic phenotyping

SARS-CoV-2

acute inflammation

C-reactive protein

cardiovascular disease risk

inflammation

SPC

glycoproteins

NMR spectroscopy

diabetes

chronic inflammation

Understanding the distribution and variation in NMR-based inflammatory markers is crucial to 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 multicohort population study. A total of 5702 samples were studied to determine the signal variations in a range of chronic and acute inflammatory conditions. We found that while 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 = 2.9 × 10–10, p-value SPC3 = 2.2 × 10–3) and SPC1 (p-value = 0.29) being unchanged. SPC1 was decreased in acute inflammation, indicating a link to the immune response (p-value = 2.5 × 10–11). These findings confirm the independent biological relevance of all three 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 University, Centre for Computational and Systems Medicine
Reika Masuda - Murdoch University
Philipp Nitschke - Murdoch University
John P Beilby - The University of Western Australia
Jennie Hui - Pathwest Laboratory Medicine
Michael Hunter - The University of Western Australia
Edward Litton - Fiona Stanley Hospital
Edward Raby - Department of Infectious Diseases, Fiona Stanley Hospital, Murdoch, WA6150, Australia
Andrew Currie - Murdoch University, Personalised Medicine Centre
Bu B Yeap - Fiona Stanley Hospital
Oscar Millet - Euskadiko Parke Teknologikoa
Claire Cannet - Bruker (Germany)
Hartmut Schaefer - Bruker (Germany)
Manfred Spraul - Bruker (Germany)
Elaine Holmes - University of London
Julien Wist - Murdoch University, Centre for Computational and Systems Medicine
Jeremy K Nicholson - Murdoch University, Health Futures Institute
Publication Details: Journal of proteome research, Vol.24(8), pp.4191-4201
Publisher: American Chemical Society.; WASHINGTON
Number of pages: 11
Identifiers: 991005796271007891
Murdoch Affiliation: Australian National Phenome Centre; School of Medical, Molecular and Forensic Sciences; Health Futures Institute; Personalised Medicine Centre; Centre for Computational and Systems Medicine
Language: English
Resource Type: Journal article

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Collaboration types: Industry collaboration; Domestic collaboration; International collaboration
Citation topics: 2 Chemistry; 2.211 Mass Spectrometry; 2.211.990 Metabolomics
Web Of Science research areas: Biochemical Research Methods
ESI research areas: Biology & Biochemistry