Identification of a Novel ECM Remodeling Macrophage Subset in AKI to CKD Transition by Integrative Spatial and Single‐Cell Analysis
The transition from acute kidney injury (AKI) to chronic kidney disease (CKD) is a critical clinical issue. Although previous studies have suggested macrophages as a key player in promoting inflammation and fibrosis during this transition, the heterogeneity and dynamic characterization of macrophages are still poorly understood. Here, we used integrated single-cell RNA sequencing and spatial transcriptomic to characterize the spatiotemporal heterogeneity of macrophages in murine AKI-to-CKD model of unilateral ischemia-reperfusion injury. A marked increase in macrophage infiltration at day 1 was followed by a second peak at day 14 post AKI. Spatiotemporal profiling revealed that injured tubules and macrophages co-localized early after AKI, whereas in late chronic stages had spatial proximity to fibroblasts. Further pseudotime analysis revealed two distinct lineages of macrophages in this transition: renal resident macrophages differentiated into the pro-repair subsets, whereas infiltrating monocyte-derived macrophages contributed to chronic inflammation and fibrosis. A novel macrophage subset, extracellular matrix remodeling-associated macrophages (EAMs) originating from monocytes, linked to renal fibrogenesis and communicated with fibroblasts via insulin-like growth factors (IGF) signalling. In sum, our study identified the spatiotemporal dynamics of macrophage heterogeneity with a unique subset of EAMs in AKI-to-CKD transition, which could be a potential therapeutic target for preventing CKD development.
Authors
- Qiuli Wu (ORCID: https://orcid.org/0000-0002-9488-7989)
- Qing Yin (ORCID: https://orcid.org/0000-0002-8875-5488)
- Zuo‐Lin Li (ORCID: https://orcid.org/0000-0002-6694-8406)
- Tao‐Tao Tang (ORCID: https://orcid.org/0000-0003-0220-3285)
- Min Wu (ORCID: https://orcid.org/0000-0002-7497-7549)
- Steven D. Crowley
- Wei Jiang (ORCID: https://orcid.org/0000-0003-2004-2665)
- Bi‐Cheng Liu (ORCID: https://orcid.org/0000-0002-4584-1853)
- Hui Y. Lan
- Lin‐Li Lv (ORCID: https://orcid.org/0000-0003-4118-4304)
- Yue Zhang (ORCID: https://orcid.org/0000-0001-7856-7451)
- Feng Ye (ORCID: https://orcid.org/0000-0001-6130-1817)
- Bin Wang (ORCID: https://orcid.org/0000-0002-7166-0482)
- Yilin Zhang (ORCID: https://orcid.org/0000-0001-5350-8279)
- Yi Wen (ORCID: https://orcid.org/0000-0002-7288-3020)
- Jing Song (ORCID: https://orcid.org/0000-0002-7814-8318)
Institutions
- Duke University (US)
- Chinese University of Hong Kong (HK)
- Zhongda Hospital Southeast University (CN)
- Durham VA Medical Center (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Advanced Science
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1002/advs.202309752
- Citations
- 37
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 8.65
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province
- National Key Research and Development Program of China