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健康男性焊工纵向研究中炎症和氧化应激生物标志物与血浆代谢物之间的关联

The Association Between Inflammatory and Oxidative Stress Biomarkers and Plasma Metabolites in a Longitudinal Study of Healthy Male Welders.

作者信息

Gao Shangzhi, Quick Corbin, Guasch-Ferre Marta, Zhuo Zhu, Hutchinson John M, Su Li, Hu Frank, Lin Xihong, Christiani David

机构信息

Environmental Health, Harvard University T H Chan School of Public Health, Boston, MA, USA.

Biostatistics, Harvard University T H Chan School of Public Health, Boston, MA, USA.

出版信息

J Inflamm Res. 2021 Jun 29;14:2825-2839. doi: 10.2147/JIR.S316262. eCollection 2021.

Abstract

INTRODUCTION

Human metabolism and inflammation are closely related modulators of homeostasis and immunity. Metabolic profiling is a useful tool to understand the association between metabolism and inflammation at a systemic level.

OBJECTIVE

To investigate the longitudinal associations between the concentration of plasma metabolites and biomarkers related to inflammation and oxidative stress.

METHODS

We conducted a repeated cross-sectional analysis consisting of 8 short-term panels that included 88 healthy adult male welders in Massachusetts, USA. In each panel, we collected 1-6 repeated measurements of blood and urine. We used a human vascular injury panel assay and custom cytokine/chemokine assay to quantify inflammatory biomarker plasma levels, liquid chromatography-mass spectrometry to quantify the concentrations of 665 plasma metabolites, and a competitive enzyme-linked immunoassay to quantify urinary 8-OHdG and 8-isoprostane levels. We used linear mixed effects models to estimate the longitudinal association between each inflammatory and oxidative stress biomarker and each metabolite.

RESULTS

At a 5% FDR threshold, we detected ≥1metabolite association for 8 unique inflammatory and oxidative stress biomarkers: urinary 8-isoprostane, plasma C-reactive protein (CRP), serum amyloid A (SAA), intercellular adhesion molecule 1, circulating vascular cell adhesion molecule-1, interleukin 8 (IL-8), interleukin 10 (IL-10) and vascular endothelial growth factor. Specifically, 3 metabolites in the androgenic steroids pathway were negatively associated with SAA; 3 dihydrosphingomyelins metabolites were positively associated with 1 or more of CRP, SAA, IL-8 and IL-10; 4 metabolites in acyl choline metabolism pathways were negatively associated with IL-8; 7 lysophospholipid metabolites were negatively associated with 1 or more of CRP, SAA and IL-8; 4 sphingomyelins were positively associated with CRP and/or SAA; and 10 metabolites in the xanthine pathway were positively associated with urinary 8-isoprostane.

CONCLUSION

We found that metabolites in phospholipid groups had strong associations with multiple inflammatory biomarkers, especially CRP, SAA and IL-8. The mechanism of these associations warrants further investigation.

摘要

引言

人体新陈代谢和炎症是体内稳态及免疫密切相关的调节因子。代谢谱分析是在系统层面理解新陈代谢与炎症之间关联的有用工具。

目的

研究血浆代谢物浓度与炎症及氧化应激相关生物标志物之间的纵向关联。

方法

我们进行了一项重复横断面分析,该分析由8个短期样本组组成,纳入了美国马萨诸塞州88名健康成年男性焊工。在每个样本组中,我们收集了1至6次血液和尿液的重复测量数据。我们使用人体血管损伤样本组检测法和定制的细胞因子/趋化因子检测法来量化炎症生物标志物的血浆水平,使用液相色谱 - 质谱法来量化665种血浆代谢物的浓度,并使用竞争性酶联免疫吸附测定法来量化尿液中8-羟基脱氧鸟苷(8-OHdG)和8-异前列腺素水平。我们使用线性混合效应模型来估计每种炎症和氧化应激生物标志物与每种代谢物之间的纵向关联。

结果

在5%的错误发现率阈值下,我们检测到8种独特的炎症和氧化应激生物标志物与≥1种代谢物存在关联:尿液8-异前列腺素、血浆C反应蛋白(CRP)、血清淀粉样蛋白A(SAA)、细胞间黏附分子1、循环血管细胞黏附分子-1、白细胞介素8(IL-8)、白细胞介素10(IL-10)和血管内皮生长因子。具体而言,雄激素类固醇途径中的3种代谢物与SAA呈负相关;3种二氢鞘磷脂代谢物与CRP、SAA、IL-8和IL-10中的1种或多种呈正相关;酰基胆碱代谢途径中的4种代谢物与IL-8呈负相关;7种溶血磷脂代谢物与CRP、SAA和IL-8中的1种或多种呈负相关;4种鞘磷脂与CRP和/或SAA呈正相关;黄嘌呤途径中的10种代谢物与尿液8-异前列腺素呈正相关。

结论

我们发现磷脂类中的代谢物与多种炎症生物标志物密切相关,尤其是CRP、SAA和IL-8。这些关联的机制值得进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57e9/8254568/1294649050d9/JIR-14-2825-g0001.jpg

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