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

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. .sup.1 H NMR spectroscopy of blood plasma and serum was applied to measu...

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Veröffentlicht in:PloS one 2025-01, Vol.20 (1), p.e0311975
Hauptverfasser: Lodge, Samantha, Masuda, Reika, Nitschke, Philipp, Beilby, John P, Hui, Jennie, Hunter, Michael, Yeap, Bu B, Millet, Oscar, Wist, Julien, Nicholson, Jeremy K, Holmes, Elaine
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Sprache:eng
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Zusammenfassung: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. .sup.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.sub.1, SPC.sub.2 and SPC.sub.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.sub.1 and SPC.sub.3 were not significantly impacted by age or sex, but SPC.sub.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 glycoprotein signals were directly associated with BMI with GlycB levels being significantly higher for women in all BMI classes. Conversely, SPC.sub.2 was found to be inversely associated with BMI and differed significantly between the sexes at each BMI category (normal weight p = 3.46x10.sup.-43, overweight p = 3.33x10.sup.-79, obese p = 2.15x10.sup.-64). SPC.sub.1 and SPC.sub.3 were markedly less affected by BMI changes. Given the significant association between SPC.sub.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.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0311975