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

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Journal of Proteome Research Pub Date : 2025-08-01 Epub Date: 2025-07-23 DOI:10.1021/acs.jproteome.5c00300
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
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引用次数: 0

Abstract

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.

基于核磁共振波谱的脂蛋白和糖蛋白生物标志物在不同健康和疾病人群中区分急性和慢性炎症。
了解基于核磁共振的炎症标志物的分布和变化对于评估其在疾病预后和诊断中的临床应用至关重要。在一项大型多队列人群研究中,我们应用血浆和血清的高分辨率1H NMR光谱来测量急性期反应性糖蛋白信号(GlycA和GlycB)和基于脂蛋白的超分子磷脂复合信号(SPC1, SPC2和SPC3)的亚区。总共研究了5702个样本,以确定一系列慢性和急性炎症条件下的信号变化。我们发现,虽然炎症时GlycA和GlycB增加,但SPC区域的行为独立于Glyc信号,与健康对照相比,慢性炎症时SPC2和SPC3减少(p值SPC2 = 2.9 × 10-10, p值SPC3 = 2.2 × 10-3), SPC1 (p值= 0.29)不变。SPC1在急性炎症中降低,表明与免疫应答有关(p值= 2.5 × 10-11)。这些发现证实了所有三个SPC亚区独立的生物学相关性,并禁止使用总SPC值作为一般炎症标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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