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Integrated single-cell multiomics reveals neutrophil-driven immune-metabolic reprogramming of Kupffer cells via thrombospondin-1/CD36 after surgical stress
Hongji Zhang, Xingping Huang, Preethi Jayakumar, Yunwei Zhang, Ti Yang, Xiaorong Guo, Grace Wu, Amrendra Kumar, Vijaya Bharti, Amblessed Onuma, Chengli Shen, Dequan Lou, Patricia S. Latham, James M. Crawford, Kong Chen, Anna E. Vilgelm, Lopa Mishra, Allan Tsung, Meihong Deng, Hai Huang
Hongji Zhang, Xingping Huang, Preethi Jayakumar, Yunwei Zhang, Ti Yang, Xiaorong Guo, Grace Wu, Amrendra Kumar, Vijaya Bharti, Amblessed Onuma, Chengli Shen, Dequan Lou, Patricia S. Latham, James M. Crawford, Kong Chen, Anna E. Vilgelm, Lopa Mishra, Allan Tsung, Meihong Deng, Hai Huang
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Research Article Hepatology Immunology Inflammation

Integrated single-cell multiomics reveals neutrophil-driven immune-metabolic reprogramming of Kupffer cells via thrombospondin-1/CD36 after surgical stress

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Abstract

Surgical stress, such as liver ischemia/reperfusion (I/R) injury characterized by robust neutrophil infiltration and immune activation, induces sterile inflammation that reshapes tissue immunity and contributes to organ dysfunction, yet the intercellular circuits that spatially orchestrate these responses within the hepatic immune microenvironment remain incompletely defined. Here, we integrate single-cell RNA sequencing, spatial transcriptomics, high-dimensional spectral flow cytometry, and metabolomics to resolve the hepatic immune landscape following I/R at cellular and spatial resolution. While confirming extensive immune remodeling, we identify a dominant neutrophil–Kupffer cell communication axis mediated by neutrophil-derived thrombospondin-1 (TSP-1), which selectively engages CD36 on Kupffer cells. This interaction drives coordinated immune-metabolic reprogramming in Kupffer cells, characterized by suppression of oxidative phosphorylation, enhanced glycolysis, and remodeling of sphingolipid metabolism, including accumulation of hexosylceramides. Spatial analyses reveal preferential neutrophil–Kupffer cell colocalization within necrotic niches, and cross-species integration with human liver transplant datasets demonstrates conserved upregulation of the TSP-1/CD36 axis following reperfusion. Pharmacologic inhibition of TSP-1 attenuates liver injury and inflammatory responses in vivo. Together, these findings define a spatially organized, neutrophil-driven immune-metabolic circuit that governs functional reprogramming of Kupffer cells during surgical stress and identify the TSP-1/CD36 pathway as a conserved and targetable mediator of sterile liver injury.

Authors

Hongji Zhang, Xingping Huang, Preethi Jayakumar, Yunwei Zhang, Ti Yang, Xiaorong Guo, Grace Wu, Amrendra Kumar, Vijaya Bharti, Amblessed Onuma, Chengli Shen, Dequan Lou, Patricia S. Latham, James M. Crawford, Kong Chen, Anna E. Vilgelm, Lopa Mishra, Allan Tsung, Meihong Deng, Hai Huang

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Figure 1

A single-cell multiomics atlas of murine liver before and after liver I/R.

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A single-cell multiomics atlas of murine liver before and after liver I/...
(A) Schematic diagram illustrating the single-cell multiomics atlas of murine liver before and after liver I/R. (B) Global UMAP of FlowSOM data derived from FACS-sorted CD45+ hepatic immune cells. (C) Quantification of hepatic immune cell populations showing significantly increased, decreased, or unchanged subsets following I/R. (D) Stacked bar graph depicting the proportions of hepatic immune cell populations in sham and I/R livers. (E) UMAP of scRNA-seq data showing CD45+ immune cell types extracted from the global UMAP space in sham and I/R samples. (F) Stacked bar graph showing the proportional distribution of immune cell types in sham and I/R livers. (G) Representative histological zonation of liver sections from sham and I/R mice used for spatial transcriptomics. Portal tracts (PT) are indicated, with the base of the “PT” label marking the precise location of the tract. Scale bars: 100 μm. (H) Identification of liver zonation in spatial transcriptomics specimens based on expression of Cyp2f2 and Cyp2e1. (I) Spatial scatter-pie plot in which each spot is represented as a pie chart indicating the predicted proportion of constituent cell types. Data represent the mean ± SEM. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001, by 2-tailed, unpaired t test (C).

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ISSN 2379-3708

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