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
Australian National Phenome Center and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia.
School of Biomedical Sciences, University of Western Australia, Perth, Western Australia, Australia.
PLoS One. 2025 Jan 6;20(1):e0311975. doi: 10.1371/journal.pone.0311975. eCollection 2025.
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. 1H 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 (SPC1, SPC2 and SPC3) to establish normal ranges in two healthy, predominantly white cohorts from Australia (n = 398) and Spain (n = 80; ages 20-70 years). GlycA, GlycB, SPC1 and SPC3 were not significantly impacted by age or sex, but SPC2 (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, SPC2 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). SPC1 and SPC3 were markedly less affected by BMI changes. Given the significant association between SPC2 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.
了解炎症标志物的分布和变化对于增进我们对炎症过程的认识以及评估其在诊断和监测急慢性疾病中的临床效用至关重要。应用血浆和血清的1H核磁共振波谱法,基于急性期糖蛋白信号(GlycA和GlycB)以及脂蛋白衍生的超分子磷脂复合信号的子区域(SPC1、SPC2和SPC3)来测量一组炎症标志物,以确定来自澳大利亚(n = 398)和西班牙(n = 80;年龄20 - 70岁)的两个主要为白人的健康队列中的正常范围。GlycA、GlycB、SPC1和SPC3不受年龄或性别的显著影响,但SPC2(一种与高密度脂蛋白相关的生物标志物)在所有年龄段的女性中均显著更高,平均高出33.7%。一个澳大利亚自由生活人群队列(n = 3945)被用于探究体重指数(BMI)与炎症标志物组之间的关系。糖蛋白信号与BMI直接相关,所有BMI类别中的女性GlycB水平均显著更高。相反,发现SPC2与BMI呈负相关,并且在每个BMI类别中男女之间存在显著差异(正常体重p = 3.46×10⁻⁴³,超重p = 3.33×10⁻⁷⁹,肥胖p = 2.15×10⁻⁶⁴)。SPC1和SPC3受BMI变化的影响明显较小。鉴于SPC2与性别之间的显著关联,这些数据表明,对于核磁共振测定的炎症生物标志物,男性和女性应分别建模,或者数据应进行性别校正。