Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China.
Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China.
J Hazard Mater. 2024 Oct 5;478:135540. doi: 10.1016/j.jhazmat.2024.135540. Epub 2024 Aug 22.
Silicosis represents a form of interstitial lung disease induced by the inhalation of silica particles in production environments. A key pathological characteristic of silica-induced pulmonary fibrosis is its localized tissue heterogeneity, which presents significant challenges in analyzing transcriptomic data due to the loss of important spatial context. To address this, we integrate spatial gene expression data with single-cell analyses and achieve a detailed mapping of cell types within and surrounding fibrotic regions, revealing significant shifts in cell populations in normal and diseased states. Additionally, we explore cell interactions within fibrotic zones using ligand-receptor mapping, deepening our understanding of cellular dynamics in these areas. We identify a subset of fibroblasts, termed Inmt fibroblasts, that play a suppressive role in the fibrotic microenvironment. Validating our findings through a comprehensive suite of bioinformatics, histological, and cell culture studies highlights the role of monocyte-derived macrophages in shifting Inmt fibroblast populations into profibrotic Grem1 fibroblast, potentially disrupting lung homeostasis in response to external challenges. Hence, the spatially detailed deconvolution offered by our research markedly advances the comprehension of cell dynamics and environmental interactions pivotal in the development of pulmonary fibrosis.
硅肺是一种由生产环境中吸入硅颗粒引起的间质性肺疾病。硅诱导的肺纤维化的一个关键病理特征是其局部组织异质性,由于重要的空间背景丢失,这给分析转录组数据带来了重大挑战。为了解决这个问题,我们将空间基因表达数据与单细胞分析相结合,实现了纤维化区域内和周围细胞类型的详细映射,揭示了正常和患病状态下细胞群体的显著变化。此外,我们还使用配体-受体作图探索了纤维化区域内的细胞相互作用,加深了我们对这些区域细胞动力学的理解。我们鉴定出一小部分成纤维细胞,称为 Inmt 成纤维细胞,它们在纤维化微环境中发挥抑制作用。通过一系列全面的生物信息学、组织学和细胞培养研究验证了我们的发现,突出了单核细胞衍生的巨噬细胞在将 Inmt 成纤维细胞群体转变为促纤维化 Grem1 成纤维细胞中的作用,这可能破坏了肺对外部挑战的平衡。因此,我们的研究提供的空间详细解卷积显著推进了对肺纤维化发展中关键的细胞动力学和环境相互作用的理解。