共 50 条
Multiomic analysis of monocyte-derived alveolar macrophages in idiopathic pulmonary fibrosis
被引:1
|作者:
Zhang, Miaomiao
[1
,2
]
Zhang, Jinghao
[3
]
Hu, Haisheng
[1
]
Zhou, Yuan
[4
]
Lin, ZhiWei
[1
]
Jing, Hui
[3
]
Sun, Baoqing
[1
,5
]
机构:
[1] Guangzhou Med Univ, Guangzhou Inst Resp Hlth, Natl Ctr Resp Med, Natl Clin Res Ctr Resp Dis,Affiliated Hosp 1,Dept, Guangzhou, Peoples R China
[2] Univ Hosp Bonn, Dept Internal Med 2, Sect Pneumol, Bonn, Germany
[3] Xuzhou Cent Hosp, Dept Resp & Crit Care Med, Xuzhou, Peoples R China
[4] Univ Hosp Bonn, Heart Ctr Bonn, Dept Med 2, Bonn, Germany
[5] Guangzhou Lab, Guangzhou 510005, Peoples R China
关键词:
Idiopathic pulmonary fibrosis;
Multiomic;
Monocyte-derived alveolar macrophages;
Transcription factors;
PPAR-GAMMA;
INHIBITION;
DIFFERENTIATION;
CHITOTRIOSIDASE;
PATHWAY;
BIOLOGY;
D O I:
10.1186/s12967-024-05398-y
中图分类号:
R-3 [医学研究方法];
R3 [基础医学];
学科分类号:
1001 ;
摘要:
BackgroundMonocyte-derived alveolar macrophages (Mo_AMs) are increasingly recognised as potential pathogenic factors for idiopathic pulmonary fibrosis (IPF). While scRNAseq analysis has proven valuable in the transcriptome profiling of Mo_AMs, the integration analysis of multi-omics may provide additional dimensions of understanding of these cellular populations.MethodsWe performed multi-omics analysis on 116 scRNAseq, 119 bulkseq and five scATACseq lung tissue samples from IPF. We built a large-scale IPF scRNAseq atlas and conducted the Monocle 2/3 as well as the Cellchat to explore the developmental path and intercellular communication on Mo_AMs. We also reported the difference in metabolisms, tissue repair and phagocytosis between Mo_AMs and tissue-resident alveolar macrophages (TRMs). To determine whether Mo_AMs affected pulmonary function, we projected clinical phenotypes (FVC%pred) from the bulkseq dataset onto the scRNAseq atlas. Finally, we used scATATCseq to uncover the upstream regulatory mechanisms and determine key drivers in Mo_AMs.ResultsWe identified three Mo_AMs clusters and the trajectory analysis further validated the origin of these clusters. Moreover, via the Cellchat analysis, the CXCL12/CXCR4 axis was found to be involved in the molecular basis of reciprocal interactions between Mo_AMs and fibroblasts through the activation of the ERK pathway in Mo_AMs. SPP1_RecMacs (RecMacs, recruited macrophages) were higher in the low-FVC group than in the high-FVC group. Specifically, compared with TRMs, the functions of lipid and energetic metabolism as well as tissue repair were higher in Mo_AMs than TRMs. But, TRMs may have higher level of phagocytosis than TRMs. SPIB (PU.1), JUNB, JUND, BACH2, FOSL2, and SMARCC1 showed stronger association with open chromatin of Mo_AMs than TRMs. Significant upregulated expression and deep chromatin accessibility of APOE were observed in both SPP1_RecMacs and TRMs.ConclusionThrough trajectory analysis, it was confirmed that SPP1_RecMacs derived from Monocytes. Besides, Mo_AMs may influence FVC% pred and aggravate pulmonary fibrosis through the communication with fibroblasts. Furthermore, distinctive transcriptional regulators between Mo_AMs and TRMs implied that they may depend on different upstream regulatory mechanisms. Overall, this work provides a global overview of how Mo_AMs govern IPF and also helps determine better approaches and intervention therapies.
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