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基于核磁共振波谱的脂蛋白和糖蛋白生物标志物可区分不同健康和疾病人群队列中的急性和慢性炎症。

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

作者信息

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

机构信息

Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia.

School of Biomedical Sciences, University of Western Australia, Perth, WA 6009, Australia.

出版信息

J Proteome Res. 2025 Aug 1;24(8):4191-4201. doi: 10.1021/acs.jproteome.5c00300. Epub 2025 Jul 23.

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 H 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 (SPC, SPC, and SPC) 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 SPC and SPC being reduced in chronic inflammation in comparison to healthy controls (-value SPC = 2.9 × 10, -value SPC = 2.2 × 10) and SPC (-value = 0.29) being unchanged. SPC was decreased in acute inflammation, indicating a link to the immune response (-value = 2.5 × 10). These findings confirm the independent biological relevance of all three SPC subregions and contraindicate the use of aggregate SPC values as general inflammatory markers.

摘要

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效用至关重要。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氢核磁共振波谱来测量急性期反应性糖蛋白信号(GlycA和GlycB)以及基于脂蛋白的超分子磷脂复合物信号的子区域(SPC、SPC和SPC)。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GlycA和GlycB在炎症中增加,但SPC区域的表现与Glyc信号无关,与健康对照相比,慢性炎症中SPC和SPC降低(SPC的P值 = 2.9 × 10,SPC的P值 = 2.2 × 10),而SPC(P值 = 0.29)不变。急性炎症中SPC降低,表明与免疫反应有关(P值 = 2.5 × 10)。这些发现证实了所有三个SPC子区域具有独立的生物学相关性,并反对将总SPC值用作一般炎症标志物。

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