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转录组和长非编码 RNA 的全景揭示了呼吸机诱导性肺损伤后炎症和纤维化反应的新见解。

Landscape of transcription and long non-coding RNAs reveals new insights into the inflammatory and fibrotic response following ventilator-induced lung injury.

机构信息

Beijing University of Chinese Medicine, No 11, East Bei San Huan Road, Chaoyang District, Beijing, 100029, China.

Center for Respiratory Diseases, China-Japan Friendship Hospital, No 2, East Yinghua Road, Chaoyang District, Beijing, 100029, China.

出版信息

Respir Res. 2018 Jun 22;19(1):122. doi: 10.1186/s12931-018-0822-z.

DOI:10.1186/s12931-018-0822-z
PMID:29929510
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6013938/
Abstract

BACKGROUND

Mechanical ventilation can cause ventilator-induced lung injury (VILI) and lung fibrosis; however, the underlying mechanisms are still not fully understood. RNA sequencing is a powerful means for detecting vitally important protein-coding transcripts and long non-coding RNAs (lncRNAs) on a genome-wide scale, which may be helpful for reducing this knowledge gap.

METHODS

Ninety C57BL/6 mice were subjected to either high tidal volume ventilation or sham operation, and then mice with ventilation were randomly allocated to periods of recovery for 0, 1, 3, 5, 7, 14, 21, or 28 days. Lung histopathology, wet-to-dry weight ratio, hydroxyproline concentration, and transforming growth factor beta 1 (TGF-β1) levels were determined to evaluate the progression of inflammation and fibrosis. To compare sham-operated lungs, and 0- and 7-day post-ventilated lungs, RNA sequencing was used to elucidate the expression patterns, biological processes, and functional pathways involved in inflammation and fibrosis.

RESULTS

A well-defined fibrotic response was most pronounced on day 7 post-ventilation. Pairwise comparisons among the sham and VILI groups showed a total of 1297 differentially expressed transcripts (DETs). Gene Ontology analysis determined that the stimulus response and immune response were the most important factors involved in inflammation and fibrosis, respectively. Kyoto Encyclopedia of Genes and Genomes analysis revealed that mechanistic target of rapamycin (mTOR), Janus kinase-signal transducer and activator of transcription (JAK/STAT), and cyclic adenosine monophosphate (cAMP) signaling were implicated in early inflammation; whereas TGF-β, hypoxia inducible factor-1 (HIF-1), Toll-like receptor (TLR), and kappa-light-chain-enhancer of activated B cells (NF-κB) signaling pathways were significantly involved in subsequent fibrosis. Additionally, 332 DE lncRNAs were identified and enriched in the processes of cellular and biological regulation. These lncRNAs may potentially regulate fibrosis through signaling pathways such as wingless/integrase-1 (Wnt), HIF-1, and TLR.

CONCLUSIONS

This is the first transcriptome study to reveal all of the transcript expression patterns and critical pathways involved in the VILI fibrotic process based on the early inflammatory state, and to show the important DE lncRNAs regulated in inflammation and fibrosis. Together, the results of this study provide novel perspectives into the potential molecular mechanisms underlying VILI and subsequent fibrosis.

摘要

背景

机械通气可导致呼吸机相关性肺损伤(VILI)和肺纤维化;然而,其潜在机制仍未完全阐明。RNA 测序是一种强大的手段,可在全基因组范围内检测至关重要的蛋白编码转录本和长非编码 RNA(lncRNA),这可能有助于缩小这一知识差距。

方法

90 只 C57BL/6 小鼠接受大潮气量通气或假手术,然后将通气后的小鼠随机分配到恢复 0、1、3、5、7、14、21 或 28 天的时期。通过肺组织病理学、湿重/干重比、羟脯氨酸浓度和转化生长因子-β1(TGF-β1)水平来评估炎症和纤维化的进展。为了比较假手术组和通气后 0 天和 7 天的肺组织,采用 RNA 测序来阐明与炎症和纤维化相关的表达模式、生物过程和功能途径。

结果

通气后 7 天出现了明确的纤维化反应。在假手术组和 VILI 组之间的两两比较中,共发现 1297 个差异表达转录本(DETs)。基因本体论分析确定,刺激反应和免疫反应分别是炎症和纤维化中最重要的因素。京都基因与基因组百科全书分析表明,雷帕霉素靶蛋白(mTOR)、Janus 激酶-信号转导和转录激活因子(JAK/STAT)和环磷酸腺苷(cAMP)信号通路参与了早期炎症;而 TGF-β、缺氧诱导因子-1(HIF-1)、Toll 样受体(TLR)和κ-轻链增强子激活的 B 细胞(NF-κB)信号通路在随后的纤维化中显著参与。此外,还鉴定出 332 个差异表达长非编码 RNA(lncRNA),并在细胞和生物调节过程中富集。这些 lncRNA 可能通过 Wnt、HIF-1 和 TLR 等信号通路潜在地调节纤维化。

结论

这是第一项基于早期炎症状态揭示呼吸机相关性肺损伤纤维化过程中所有转录本表达模式和关键途径的转录组研究,并显示了炎症和纤维化中受调控的重要差异表达 lncRNA。总之,本研究结果为呼吸机相关性肺损伤和随后的纤维化的潜在分子机制提供了新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e37a/6013938/32987ccb3832/12931_2018_822_Fig8_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e37a/6013938/32987ccb3832/12931_2018_822_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e37a/6013938/5b817cbb7df9/12931_2018_822_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e37a/6013938/a07bb9b20967/12931_2018_822_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e37a/6013938/b565d734c296/12931_2018_822_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e37a/6013938/bb2da3091438/12931_2018_822_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e37a/6013938/aadef5a8c2fa/12931_2018_822_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e37a/6013938/a4adfc277480/12931_2018_822_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e37a/6013938/d43d70aa67fe/12931_2018_822_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e37a/6013938/32987ccb3832/12931_2018_822_Fig8_HTML.jpg

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