Evidence map›Paper›PMID 41268065›Full record

ArticleImmunoTargets and therapy2025

Multi-Dimensional Characterization of Programmed Cell Death Patterns for Prognostic Stratification and Therapeutic Insights in Sepsis.

Chen Zhou, Yunmeng Bai

Abstract read
In one paragraph

Article in ImmunoTargets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Chen ZhouDepartment of Laboratory Medicine, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518033, People's Republic of China.
Yunmeng BaiSchool of Medicine, Southern University of Science and Technology, Shenzhen, 518055, People's Republic of China.ORCID 0000-0001-7915-4501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis is a complex and heterogeneous syndrome characterized by dysregulated immune responses and multiple forms of programmed cell death (PCD). Comprehensive understanding of the PCD landscape may provide insights into prognosis and therapeutic targets, whereas its role in sepsis is not well-explored. Methods: Using the microarray dataset for sepsis (GSE65682), we systematically profiled 14 PCD patterns in sepsis and stratified patients into molecular subtypes with distinct immune landscapes and clinical outcomes. PCD-related prognostic signature was developed and validated across multiple cohorts. Single-cell and multi-organ transcriptomic analyses were conducted to elucidate cellular heterogeneity and temporal dynamics. Molecular docking was used to explore interactions between active compounds of Simiao Yongan Decoction (SMYAD) and key PCD-related proteins. Results: Two clusters with differential transcriptional programs and immune infiltration patterns were identified, in which Cluster 1 showed poorer prognosis. We then developed a seven-gene signature ( Conclusion: This study delineates the multi-dimensional role of PCD in sepsis, establishes a reliable prognostic model with strong predictive value, and highlights SMYAD as a potential multi-target therapy. These findings provide new avenues for risk stratification and suggest the promise of integrating PCD biology with adjunctive immunomodulatory strategies.

Indexed as

machine learningprognostic modelprogrammed cell deathsepsisSimiao Yongan decoction

Identifiers

PMID41268065
PMCPMC12628821

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.