Systemic mapping of senescence characteristics across septic tissues

Sepsis triggers profound organism-wide disturbances, yet the cellular logic underlying its systemic impact remains poorly defined. By integrating single-cell transcriptomes from six septic tissues, we uncovered a conserved cross-tissue program characterized by inflammation-driven senescence, disrupted intercellular communication, and coordinated transcriptional reprogramming. Senescence signatures were broadly elevated across cell types and strongly coupled to altered communication networks, suggesting that septic stress induces both cell-intrinsic and network-level remodeling. We identified several key transcription factors, with activation of Atf4, Cebpb and Cebpd, alongside repression of Foxo1, Gata4, and Yy1, which might rewire inflammatory and stress-adaptive programs toward senescence-like states. Endothelial and neutrophil populations were inferred to act as the principal amplifiers of this response through predicted Cxcl1-Cxcr2 and Cxcl2-Ackr1 circuits, potentially establishing self-reinforcing inflammatory-senescent loops. Finally, the neutrophil-derived signature serves as a robust molecular adjunct to traditional clinical metrics, significantly improving risk stratification and enhancing the prognostic accuracy for sepsis patients. Together, our findings position sepsis as a potent driver of accelerated immunological aging and provide conserved regulatory mechanisms that may represent therapeutic targets for mitigating both acute injury and long-term sequelae.

Authors

Institutions

Publication Details

Journal
npj Aging
Published
2026-07-17
DOI
https://doi.org/10.1038/s41514-026-00453-y
Primary Topic
Telomeres, Telomerase, and Senescence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systemic mapping of senescence characteristics across septic tissues

Yunmeng Bai, Chen Zhou
npj Aging
Telomeres, Telomerase, and Senescence
article

Systemic mapping of senescence characteristics across septic tissues

Yunmeng Bai, Chen Zhou
article en

Abstract

Sepsis triggers profound organism-wide disturbances, yet the cellular logic underlying its systemic impact remains poorly defined. By integrating single-cell transcriptomes from six septic tissues, we uncovered a conserved cross-tissue program characterized by inflammation-driven senescence, disrupted intercellular communication, and coordinated transcriptional reprogramming. Senescence signatures were broadly elevated across cell types and strongly coupled to altered communication networks, suggesting that septic stress induces both cell-intrinsic and network-level remodeling. We identified several key transcription factors, with activation of Atf4, Cebpb and Cebpd, alongside repression of Foxo1, Gata4, and Yy1, which might rewire inflammatory and stress-adaptive programs toward senescence-like states. Endothelial and neutrophil populations were inferred to act as the principal amplifiers of this response through predicted Cxcl1-Cxcr2 and Cxcl2-Ackr1 circuits, potentially establishing self-reinforcing inflammatory-senescent loops. Finally, the neutrophil-derived signature serves as a robust molecular adjunct to traditional clinical metrics, significantly improving risk stratification and enhancing the prognostic accuracy for sepsis patients. Together, our findings position sepsis as a potent driver of accelerated immunological aging and provide conserved regulatory mechanisms that may represent therapeutic targets for mitigating both acute injury and long-term sequelae.

npj Aging
Sun Yat-sen University (CN), Southern University of Science and Technology (CN), Eighth Affiliated Hospital of Sun Yat-sen University
Zero hunger
Openalex Percentile: Top 9%
Telomeres, Telomerase, and Senescence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Systemic mapping of senescence characteristics across septic tissues — Yunmeng Bai, Chen Zhou · npj Aging (2026) | TGRS Research Map | TGRS