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多细胞人支气管模型暴露于柴油机排放颗粒:炎症、氧化应激和巨噬细胞极化的评估。

Multi-cellular human bronchial models exposed to diesel exhaust particles: assessment of inflammation, oxidative stress and macrophage polarization.

机构信息

Institute of Environmental Medicine, Karolinska Institute, Box 210, SE-171 77, Stockholm, Sweden.

Inhalation Sciences Sweden AB, Stockholm, Sweden.

出版信息

Part Fibre Toxicol. 2018 May 2;15(1):19. doi: 10.1186/s12989-018-0256-2.

Abstract

BACKGROUND

Diesel exhaust particles (DEP) are a major component of outdoor air pollution. DEP mediated pulmonary effects are plausibly linked to inflammatory and oxidative stress response in which macrophages (MQ), epithelial cells and their cell-cell interaction plays a crucial role. Therefore, in this study we aimed at studying the cellular crosstalk between airway epithelial cells with MQ and MQ polarization following exposure to aerosolized DEP by assessing inflammation, oxidative stress, and MQ polarization response markers.

METHOD

Lung mucosa models including primary bronchial epithelial cells (PBEC) cultured at air-liquid interface (ALI) were co-cultured without (PBEC-ALI) and with MQ (PBEC-ALI/MQ). Cells were exposed to 12.7 μg/cm aerosolized DEP using XposeALI. Control (sham) models were exposed to clean air. Cell viability was assessed. CXCL8 and IL-6 were measured in the basal medium by ELISA. The mRNA expression of inflammatory markers (CXCL8, IL6, TNFα), oxidative stress (NFKB, HMOX1, GPx) and MQ polarization markers (IL10, IL4, IL13, MRC1, MRC2 RETNLA, IL12 andIL23) were measured by qRT-PCR. The surface/mRNA expression of TLR2/TLR4 was detected by FACS and qRT-PCR.

RESULTS

In PBEC-ALI exposure to DEP significantly increased the secretion of CXCL8, mRNA expression of inflammatory markers (CXCL8, TNFα) and oxidative stress markers (NFKB, HMOX1, GPx). However, mRNA expressions of these markers (CXCL8, IL6, NFKB, and HMOX1) were reduced in PBEC-ALI/MQ models after DEP exposure. TLR2 and TLR4 mRNA expression increased after DEP exposure in PBEC-ALI. The surface expression of TLR2 and TLR4 on PBEC was significantly reduced in sham-exposed PBEC-ALI/MQ compared to PBEC-ALI. After DEP exposure surface expression of TLR2 was increased on PBEC of PBEC-ALI/MQ, while TLR4 was decreased in both models. DEP exposure resulted in similar expression pattern of TLR2/TLR4 on MQ as in PBEC. In PBEC-ALI/MQ, DEP exposure increased the mRNA expression of anti-inflammatory M2 macrophage markers (IL10, IL4, IL13, MRC1, MRC2).

CONCLUSION

The cellular interaction of PBEC with MQ in response to DEP plays a pivotal role for MQ phenotypic alteration towards M2-subtypes, thereby promoting an efficient resolution of the inflammation. Furthermore, this study highlighted the fact that cell-cell interaction using multicellular ALI-models combined with an in vivo-like inhalation exposure system is critical in better mimicking the airway physiology compared with traditional cell culture systems.

摘要

背景

柴油机排气颗粒(DEP)是室外空气污染的主要成分。DEP 介导的肺部效应与炎症和氧化应激反应密切相关,其中巨噬细胞(MQ)、上皮细胞及其细胞间相互作用起着至关重要的作用。因此,在这项研究中,我们旨在通过评估炎症、氧化应激和 MQ 极化反应标志物,研究气道上皮细胞与 MQ 之间的细胞串扰以及暴露于雾化 DEP 后 MQ 的极化。

方法

包括在气液界面(ALI)培养的原代支气管上皮细胞(PBEC)在内的肺黏膜模型与 MQ 共培养(PBEC-ALI/MQ)。使用 XposeALI 将 12.7μg/cm 的雾化 DEP 暴露于细胞。对照(假)模型暴露于清洁空气。评估细胞活力。通过 ELISA 在基础培养基中测量 CXCL8 和 IL-6。通过 qRT-PCR 测量炎症标志物(CXCL8、IL6、TNFα)、氧化应激(NFKB、HMOX1、GPx)和 MQ 极化标志物(IL10、IL4、IL13、MRC1、MRC2 RETNLA、IL12 和 IL23)的 mRNA 表达。通过 FACS 和 qRT-PCR 检测 TLR2/TLR4 的表面/mRNA 表达。

结果

在 PBEC-ALI 暴露于 DEP 后,CXCL8 的分泌、炎症标志物(CXCL8、TNFα)和氧化应激标志物(NFKB、HMOX1、GPx)的 mRNA 表达显著增加。然而,在 PBEC-ALI/MQ 模型中,暴露于 DEP 后这些标志物(CXCL8、IL6、NFKB 和 HMOX1)的 mRNA 表达减少。DEP 暴露后,PBEC-ALI 中 TLR2 和 TLR4 的 mRNA 表达增加。与 PBEC-ALI 相比,假暴露的 PBEC-ALI/MQ 中 PBEC 表面 TLR2 和 TLR4 的表达显著降低。在 PBEC-ALI/MQ 中,DEP 暴露后 PBEC 表面 TLR2 增加,而两种模型中 TLR4 减少。DEP 暴露导致 PBEC 和 MQ 上 TLR2/TLR4 的表达模式相似。在 PBEC-ALI/MQ 中,DEP 暴露增加了抗炎 M2 巨噬细胞标志物(IL10、IL4、IL13、MRC1、MRC2)的 mRNA 表达。

结论

PBEC 与 MQ 之间的细胞相互作用在 DEP 引起的 MQ 表型改变中起着关键作用,从而促进炎症的有效消退。此外,这项研究强调了使用多细胞 ALI 模型结合体内样吸入暴露系统进行细胞间相互作用的事实,与传统细胞培养系统相比,它可以更好地模拟气道生理学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6e0/5930819/e2e5538b9a20/12989_2018_256_Fig1_HTML.jpg

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