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使用超极化 C-丙酮酸检测细胞模型中的炎症反应。

Molecular detection of inflammation in cell models using hyperpolarized C-pyruvate.

机构信息

Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.

出版信息

Theranostics. 2018 May 23;8(12):3400-3407. doi: 10.7150/thno.24322. eCollection 2018.

Abstract

The detection and treatment monitoring of inflammatory states remain challenging in part due to the multifactorial mechanisms of immune activation and spectrum of clinical manifestations. Currently, diagnostic strategies tend to be subjective and limited quantitative tools exist to monitor optimal treatment strategies. Pro-inflammatory M1 polarized macrophages exhibit a distinct metabolic glycolytic phenotype compared to the continuum of M2 polarization states. In the present study, the distinct metabolic phenotypes of resting and activated macrophages were successfully characterized and quantified using hyperpolarized carbon-13 (C) labeled pyruvate and its metabolic products, i.e. lactate, as a biomarker of resting, disease and treated states. : Mouse macrophage J774A.1 cells were used as a model system in an NMR compatible bioreactor to facilitate dynamic hyperpolarized C measurements. The glycolytic metabolism of the cells in the quiescent or resting state were compared with macrophages stimulated by lipopolysaccharide, a classical M1 activator using hyperpolarized C labeled pyruvate. Additionally, the activated macrophages were also treated with a non-steroidal anti-inflammatory drug to assess the changes in hyperpolarized lactate signal. The hyperpolarized lactate signals were then correlated using biochemical and molecular assays. : We first validated our model system of inflammatory cells by the hallmarks of M1 polarization using steady state metabolic profiling with high resolution NMR in conjunction with nitric oxide Greiss assay, enzyme activity, and mRNA expression. Subsequently, we clearly showed that the cutting edge technology of hyperpolarized C NMR can be used to detect elevated lactate levels in M1 polarized macrophages in comparison to control and non-steroidal anti-inflammatory drug treated M2 states. Hyperpolarized C lactate has the potential to serve as a biomarker to non-invasively detect and quantify pro-inflammatory state of immune regulatory cells and its response to therapy.

摘要

炎症状态的检测和治疗监测仍然具有挑战性,部分原因是免疫激活的多因素机制和临床表现的范围。目前,诊断策略往往具有主观性,并且存在有限的定量工具来监测最佳治疗策略。与 M2 极化状态的连续体相比,促炎 M1 极化巨噬细胞表现出明显的代谢糖酵解表型。在本研究中,成功地对静息和激活巨噬细胞的独特代谢表型进行了特征描述和定量,使用超极化 13C 标记的丙酮酸及其代谢产物,即乳酸,作为静息、疾病和治疗状态的生物标志物。

:用 NMR 兼容的生物反应器中的小鼠巨噬细胞 J774A.1 细胞作为模型系统,以方便动态超极化 13C 测量。用超极化 13C 标记的丙酮酸比较了静息或静止状态下细胞的糖酵解代谢与经典 M1 激活剂脂多糖刺激的巨噬细胞。此外,还对激活的巨噬细胞用非甾体抗炎药进行了处理,以评估超极化乳酸信号的变化。然后使用生化和分子测定法对超极化乳酸信号进行了相关性分析。

:我们首先通过高分辨率 NMR 与一氧化氮格里斯测定、酶活性和 mRNA 表达相结合的稳态代谢谱,用 M1 极化的特征验证了我们的炎症细胞模型系统。随后,我们清楚地表明,超极化 13C NMR 的前沿技术可用于检测 M1 极化巨噬细胞中升高的乳酸水平,与对照和非甾体抗炎药治疗的 M2 状态相比。超极化 13C 乳酸有可能成为一种生物标志物,用于非侵入性地检测和定量免疫调节细胞的促炎状态及其对治疗的反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2cb/6010986/1878bb9453c8/thnov08p3400g001.jpg

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