Cellular Senescence and Immune Dysregulation in Acute-on-Chronic Liver Failure: A Case Report Integrating Single-Cell and Spatial Transcriptomic Profiling

Background: Acute-on-chronic liver failure (ACLF) is a clinical syndrome characterized by acute decompensation of cirrhosis, systemic inflammation, and high short-term mortality (1). The underlying mechanisms involve a complex interplay between cellular senescence, immune dysregulation, and multi-organ failure, yet the spatiotemporal dynamics within the liver tissue remain poorly understood (2). Case presentation: We report a 58-year-old male with chronic hepatitis B-related cirrhosis who presented with acute jaundice, ascites, hepatic encephalopathy, and coagulopathy. He met the CLIF-C criteria for ACLF grade 2 (13). Liver biopsy and peripheral blood samples were obtained within 48 hours of admission. We performed single-cell RNA sequencing (scRNA-seq) on 87,046 intrahepatic cells, spatial transcriptomics (10x Visium) on liver tissue sections, and integrated these with clinical and laboratory parameters. Methods and Results: scRNA-seq identified 17 distinct cell clusters, including a prominent population of senescent hepatocytes (p16⁺, p21⁺, γH2AX⁺) localized to fibrotic septa (14, 15). Spatial transcriptomics revealed a sharp senescence score gradient from fibrotic niches (score >0.8) to normal zones (score <0.2) (9, 10). The immune landscape was dominated by CXCR2⁺ neutrophils, CD163⁺ monocytes, and exhausted CD8⁺ T cells (PD-1⁺TIM-3⁺LAG3⁺, 65.3% of total CD8⁺) (17, 41). NicheNet and CellChat analyses identified CCL2-CCR2 and CXCL8-CXCR1/2 as the strongest communication axes between senescent hepatocytes and myeloid cells (3, 11). TREM2⁺ Kupffer cells emerged as a novel maladaptive population restricted to fibrotic areas (47). Trajectory analysis showed a directional progression from normal hepatocytes through an intermediate state to fully senescent cells, with concomitant upregulation of SASP factors (IL-6, IL-1β, TNF-α, TGF-β1) (4,5). Correlation matrix demonstrated strong positive correlations between senescence markers and MELD score (r=0.88, p<0.001) and INR (r=0.85, p<0.001) (36). Discussion: This integrative case reveals that fibrotic niches act as pathological hotspots where senescent hepatocytes orchestrate intrahepatic inflammation via SASP-mediated recruitment of dysfunctional myeloid cells, while adaptive immunity succumbs to exhaustion (6, 7). The identification of TREM2⁺ macrophages and the dominant chemokine axes provides novel mechanistic insights and therapeutic targets, including senolytics, CXCR2 antagonists, and checkpoint modulators (48, 49, 50). Conclusion: Spatially organized senescence–immune crosstalk drives ACLF pathogenesis. Multi-omics profiling of individual cases can uncover disease mechanisms and guide precision medicine approaches (55).

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Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-06
DOI
https://doi.org/10.5281/zenodo.22477404
Primary Topic
Liver Disease and Transplantation
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article
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article

Cellular Senescence and Immune Dysregulation in Acute-on-Chronic Liver Failure: A Case Report Integrating Single-Cell and Spatial Transcriptomic Profiling

Keyang Xu, Hao Sun, Liangyu Li, Yuquan Li et al.
Zenodo (CERN European Organization for Nuclear Research)
Liver Disease and Transplantation
article

Cellular Senescence and Immune Dysregulation in Acute-on-Chronic Liver Failure: A Case Report Integrating Single-Cell and Spatial Transcriptomic Profiling

Keyang Xu, Hao Sun, Liangyu Li, Yuquan Li, Jinze Yu, Wei Wang, Gaoyang Guo, Bing Liu
article en

Abstract

Background: Acute-on-chronic liver failure (ACLF) is a clinical syndrome characterized by acute decompensation of cirrhosis, systemic inflammation, and high short-term mortality (1). The underlying mechanisms involve a complex interplay between cellular senescence, immune dysregulation, and multi-organ failure, yet the spatiotemporal dynamics within the liver tissue remain poorly understood (2). Case presentation: We report a 58-year-old male with chronic hepatitis B-related cirrhosis who presented with acute jaundice, ascites, hepatic encephalopathy, and coagulopathy. He met the CLIF-C criteria for ACLF grade 2 (13). Liver biopsy and peripheral blood samples were obtained within 48 hours of admission. We performed single-cell RNA sequencing (scRNA-seq) on 87,046 intrahepatic cells, spatial transcriptomics (10x Visium) on liver tissue sections, and integrated these with clinical and laboratory parameters. Methods and Results: scRNA-seq identified 17 distinct cell clusters, including a prominent population of senescent hepatocytes (p16⁺, p21⁺, γH2AX⁺) localized to fibrotic septa (14, 15). Spatial transcriptomics revealed a sharp senescence score gradient from fibrotic niches (score >0.8) to normal zones (score <0.2) (9, 10). The immune landscape was dominated by CXCR2⁺ neutrophils, CD163⁺ monocytes, and exhausted CD8⁺ T cells (PD-1⁺TIM-3⁺LAG3⁺, 65.3% of total CD8⁺) (17, 41). NicheNet and CellChat analyses identified CCL2-CCR2 and CXCL8-CXCR1/2 as the strongest communication axes between senescent hepatocytes and myeloid cells (3, 11). TREM2⁺ Kupffer cells emerged as a novel maladaptive population restricted to fibrotic areas (47). Trajectory analysis showed a directional progression from normal hepatocytes through an intermediate state to fully senescent cells, with concomitant upregulation of SASP factors (IL-6, IL-1β, TNF-α, TGF-β1) (4,5). Correlation matrix demonstrated strong positive correlations between senescence markers and MELD score (r=0.88, p<0.001) and INR (r=0.85, p<0.001) (36). Discussion: This integrative case reveals that fibrotic niches act as pathological hotspots where senescent hepatocytes orchestrate intrahepatic inflammation via SASP-mediated recruitment of dysfunctional myeloid cells, while adaptive immunity succumbs to exhaustion (6, 7). The identification of TREM2⁺ macrophages and the dominant chemokine axes provides novel mechanistic insights and therapeutic targets, including senolytics, CXCR2 antagonists, and checkpoint modulators (48, 49, 50). Conclusion: Spatially organized senescence–immune crosstalk drives ACLF pathogenesis. Multi-omics profiling of individual cases can uncover disease mechanisms and guide precision medicine approaches (55).

Zenodo (CERN European Organization for Nuclear Research)
Macau University of Science and Technology (MO), Edith Cowan University (AU), Waseda University (JP), Guizhou University (CN), University of Macau (MO), Wolfson Foundation (GB), University Kebangsaan Malaysia Medical Centre (MY), University College London (GB), Zhejiang University (CN), National University of Malaysia (MY)
Good health and well-being
Openalex Percentile: Top 12%
Liver Disease and Transplantation
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