Fibrosis, the replacement of healthy tissue with collagen-rich matrix, can occur following injury in almost every organ(1,2). Mouse lungs follow a stereotyped sequence of fibrogenesis-to-resolution after bleomycin injury(3), and we reasoned that profiling post-injury histological stages could uncover pro-fibrotic versus anti-fibrotic features with functional value for human fibrosis. Here we quantified spatiotemporally resolved matrix transformations for integration with multi-omic data. First, we charted stepwise trajectories of matrix aberration versus resolution, derived from a high-dimensional set of histological fibre features, that denoted a reversible transition in uniform-to-disordered histological architecture. Single-cell sequencing along these trajectories identified temporally enriched 'ECM-secreting' (Csmd1-expressing) and 'pro-resolving' (Cd248-expressing) fibroblasts at the respective post-injury stages. Visium-based spatial analysis further suggested divergent matrix architectures and spatial-transcriptional neighbourhoods by fibroblast subtype, identifying distinct fibrotic versus non-fibrotic biomolecular milieu. Critically, pro-resolving fibroblast instillation helped to ameliorate fibrosis in vivo. Furthermore, the fibroblast neighbourhood-associated factors SERPINE2 and PI16 functionally modulated human lung fibrosis ex vivo. Spatial phenotyping of idiopathic pulmonary fibrosis at protein level additionally uncovered analogous fibroblast subtypes and neighbourhoods in human disease. Collectively, these findings establish an atlas of pro- and anti-fibrotic factors that underlie lung matrix architecture and implicate fibroblast-associated biological features in modulating fibrotic progression versus resolution.
Histological signatures map anti-fibrotic factors in mouse and human lungs.
组织学特征描绘出小鼠和人类肺部的抗纤维化因子
阅读:5
作者:Guo Jason L, Griffin Michelle, Yoon Jung-Ki, Lopez David M, Zhu Yili, Lu John M, Mikos Georgios, Parker Jennifer B L, Mascharak Shamik, Brenac Camille, Guardino Nicholas J, Abbas Darren B, Li Dayan J, Valencia Caleb, Liang Norah E, Januszyk Michael, Chang Howard Y, Wan Derrick C, Desai Tushar J, Longaker Michael T
| 期刊: | Nature | 影响因子: | 48.500 |
| 时间: | 2025 | 起止号: | 2025 May;641(8064):993-1004 |
| doi: | 10.1038/s41586-025-08727-3 | 种属: | Human、Mouse |
| 研究方向: | 其它 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
