Logo image
NMR spectroscopy derived plasma biomarkers of inflammation in human populations: Influences of age, sex and adiposity
Journal article   Open access

NMR spectroscopy derived plasma biomarkers of inflammation in human populations: Influences of age, sex and adiposity

Sam Lodge, Reika Masuda, Philipp Nitschke, John P. Beilby, Jennie Hui, Michael Hunter, Bu B Yeap, Oscar Millet, Julien Wist, Jeremy Nicholson, …
PLOS one, Vol.20(1), e0311975
2025
pdf
Published1.35 MBDownloadView
CC BY V4.0 Open Access

Abstract

Understanding the distribution and variation in inflammatory markers is crucial for advancing our knowledge of inflammatory processes and evaluating their clinical utility in diagnosing and monitoring acute and chronic disease. 1 H NMR spectroscopy of blood plasma and serum was applied to measure a composite panel of inflammatory markers based on acute phase glycoprotein signals (GlycA and GlycB) and sub-regions of the lipoprotein derived Supramolecular Phospholipid Composite signals (SPC 1 , SPC 2 and SPC 3) to establish normal ranges in two healthy, predominantly white cohorts from Australia (n = 398) and Spain (n = 80; ages 20–70 years). GlycA, GlycB, SPC 1 and SPC 3 were not significantly impacted by age or sex, but SPC 2 (an HDL-related biomarker) was significantly higher in women across all age ranges by an average of 33.7%. A free-living Australian population cohort (n = 3945) was used to explore the relationship of BMI with the panel of inflammatory markers. The gly-coprotein signals were directly associated with BMI with GlycB levels being significantly higher for women in all BMI classes. Conversely, SPC 2 was found to be inversely associated with BMI and differed significantly between the sexes at each BMI category (normal weight p = 3.46x10-43 , overweight p = 3.33x10-79 , obese p = 2.15x10-64). SPC 1 and SPC 3 were markedly less affected by BMI changes. Given the significant association between SPC 2 and sex, these data suggest that men and women should be modelled independently for NMR-determined inflammatory biomarkers, or that data should be corrected for sex.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

16 File views/ downloads
27 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Citation topics
2 Chemistry
2.211 Mass Spectrometry
2.211.990 Metabolomics
Web Of Science research areas
Multidisciplinary Sciences
ESI research areas
Clinical Medicine
Logo image