Single-cell transcriptomic analysis deciphers heterogeneity and transcriptional regulatory programs of sepsis with different prognosis

Sepsis has a high mortality rate, yet the cellular heterogeneity and transcriptional regulatory programs associated with divergent clinical outcomes remain incompletely understood. Here, we integrated two peripheral blood single-cell RNA-seq cohorts to explore prognosis-associated immune remodeling patterns in sepsis. Using reference-based annotation, pySCENIC-inferred regulon activity, pathway enrichment, and CellChat based ligand-receptor inference, we observed broad differences in cell composition, transcriptional programs, and intercellular communication between survivors and non-survivors. Non-survivors exhibited relative decrease of monocytes, B-cells, NK cells, and CD4/CD8 T cells, together with relative platelet expansion. cDC2 and plasmablasts showed relatively large transcriptional disturbance compared to other cell types. In cDC2, poor outcome was associated with increased TNF-α and NF-κB related regulon activity, which linked to AP-1 transcription factors (JUN, FOSL2, CEBPB, NFIL3, KLF6, and FOSB), together with reduced STAT1 and STAT2-associated interferon signaling. Gene regulatory network analysis highlighted cell type-specific transcription factor and target gene relationships. CellChat suggested that cDC2 may occupy a more connected position in survivors, whereas connectivity appeared reduced in non-survivors. Independent bulk transcriptomic validation supported increased FOSL2 and CEBPB expression, and a multivariable eight-transcription-factor model showed preliminary discriminatory performance. Overall, this study suggests that poor-outcome sepsis may be associated with altered cDC2 regulatory states and reduced cDC2 centered intercellular coordination.

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Publication Details

Journal
Biology Direct
Published
2026-05-29
DOI
https://doi.org/10.1186/s13062-026-00836-x
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Single-cell transcriptomic analysis deciphers heterogeneity and transcriptional regulatory programs of sepsis with different prognosis

Yiwei Hua, Nan Liu, Suyi Yang, Jun Li et al.
Biology Direct
Single-cell and spatial transcriptomics
article

Single-cell transcriptomic analysis deciphers heterogeneity and transcriptional regulatory programs of sepsis with different prognosis

Yiwei Hua, Nan Liu, Suyi Yang, Jun Li, Yuanming Yang
article en

Abstract

Sepsis has a high mortality rate, yet the cellular heterogeneity and transcriptional regulatory programs associated with divergent clinical outcomes remain incompletely understood. Here, we integrated two peripheral blood single-cell RNA-seq cohorts to explore prognosis-associated immune remodeling patterns in sepsis. Using reference-based annotation, pySCENIC-inferred regulon activity, pathway enrichment, and CellChat based ligand-receptor inference, we observed broad differences in cell composition, transcriptional programs, and intercellular communication between survivors and non-survivors. Non-survivors exhibited relative decrease of monocytes, B-cells, NK cells, and CD4/CD8 T cells, together with relative platelet expansion. cDC2 and plasmablasts showed relatively large transcriptional disturbance compared to other cell types. In cDC2, poor outcome was associated with increased TNF-α and NF-κB related regulon activity, which linked to AP-1 transcription factors (JUN, FOSL2, CEBPB, NFIL3, KLF6, and FOSB), together with reduced STAT1 and STAT2-associated interferon signaling. Gene regulatory network analysis highlighted cell type-specific transcription factor and target gene relationships. CellChat suggested that cDC2 may occupy a more connected position in survivors, whereas connectivity appeared reduced in non-survivors. Independent bulk transcriptomic validation supported increased FOSL2 and CEBPB expression, and a multivariable eight-transcription-factor model showed preliminary discriminatory performance. Overall, this study suggests that poor-outcome sepsis may be associated with altered cDC2 regulatory states and reduced cDC2 centered intercellular coordination.

Biology Direct
Guangzhou University of Chinese Medicine (CN), Guangzhou Panyu Polytechnic (CN), First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 9%
Single-cell and spatial transcriptomics
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