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炎症特征分析揭示了与非烟草消费者相比,吸烟者、鼻烟使用者和双重使用者之间细胞因子表达的差异。

Inflammatory profile analysis reveals differences in cytokine expression between smokers, moist snuff users, and dual users compared to non-tobacco consumers.

机构信息

Battelle Memorial Institute, Aberdeen, MD, United States.

RAI Services Company, Winston-Salem, NC, United States.

出版信息

Cytokine. 2018 Jul;107:43-51. doi: 10.1016/j.cyto.2017.11.013. Epub 2017 Dec 6.

Abstract

OBJECTIVE AND DESIGN

The aim of this study is to investigate the inflammatory alterations due to the use of smokeless tobacco and dual use of smokeless tobacco and cigarettes, relative to smoking.

SUBJECTS

Plasma and saliva samples were collected from healthy smokers (SMK-100 subjects), moist snuff users (MSC-89 subjects), the dual users (DUSMK-49 subjects), and non-tobacco consumers (NTC-99 subjects) from two cross-sectional studies.

METHODS

Luminex Human InflammationMAP® 1.0 panel, a multiplex immunoassay.

RESULTS

SMK and DUSMK exhibited larger number of alterations in the expression of inflammatory analytes compared to NTC. Eight analytes were significantly elevated (p ≤ .05) within plasma samples of SMK compared to NTC, while one 1 analyte was elevated between the MSC and NTC groups. DUSMK exhibited different levels of 11 analytes, relative to NTC. MSC displayed fewer alterations in inflammatory protein expression compared to smoker groups, and the inflammatory profile of MSC resembles NTC. Five analytes (ICAM-1, VEGF, MMP-9, ferritin and fibrinogen) emerged as potential biomarkers distinguishing tobacco consumers (p < .02).

CONCLUSIONS

We identified a set of five proteins as potential biomarkers that can inform of inflammation status due to tobacco usage. Our findings contribute a better understanding of how the use of different tobacco products contributes to inflammation.

摘要

目的和设计

本研究旨在调查使用无烟烟草和同时使用无烟烟草和香烟引起的炎症变化,与吸烟相比。

受试者

从两项横断面研究中,收集了健康吸烟者(SMK-100 名受试者)、湿鼻烟使用者(MSC-89 名受试者)、双重使用者(DUSMK-49 名受试者)和非烟草使用者(NTC-99 名受试者)的血浆和唾液样本。

方法

Luminex Human InflammationMAP® 1.0 面板,一种多重免疫分析。

结果

SMK 和 DUSMK 与 NTC 相比,表现出更多的炎症分析物表达变化。与 NTC 相比,SMK 组血浆样本中有 8 种分析物显著升高(p≤.05),而 MSC 和 NTC 组之间有 1 种分析物升高。DUSMK 与 NTC 相比,表现出不同水平的 11 种分析物。与吸烟组相比,MSC 显示出较少的炎症蛋白表达变化,并且 MSC 的炎症特征与 NTC 相似。有 5 种分析物(ICAM-1、VEGF、MMP-9、铁蛋白和纤维蛋白原)被认为是区分烟草使用者的潜在生物标志物(p<.02)。

结论

我们确定了一组 5 种蛋白质作为潜在的生物标志物,可以提示由于烟草使用引起的炎症状态。我们的研究结果有助于更好地了解使用不同烟草制品如何导致炎症。

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