Sphingolipid metabolism-related genes as diagnostic markers in pneumonia-induced sepsis: the AUG model

Pneumonia-induced sepsis (PIS) is a life-threatening condition with high mortality rates, necessitating the identification of biomarkers and therapeutic targets. Sphingolipid, particularly ceramides, are pivotal in modulating immune responses and determining cell fate. In this study, we identified a novel gene signature related to sphingolipid metabolism, comprising ACER3, UGCG, and GBA, which are key enzymes involved in the synthesis and metabolism of ceramides. This signature, termed the "AUG model", demonstrated strong diagnostic performance and modest prognostic efficacy across both training (GSE65682) and validation (E-MTAB-1548 and E-MTAB-5273) datasets. A clinical cohort comprising 20 PIS patients, 31 pneumonia cases, and 11 healthy controls further validated the increased expression of AUG genes at both mRNA and protein levels in peripheral blood samples upon admission. Our comprehensive analysis of bulk and single-cell transcriptome datasets revealed that these genes are implicated in immune cell death pathways, including autophagy and apoptosis. Additionally, cell-communication analysis indicated that enhanced macrophage migration inhibitory factor (MIF) signaling may be associated with dysregulated sphingolipid metabolism, potentially driving the inflammatory cascade. This study identifies a novel predictive model for PIS, highlighting the role of sphingolipid metabolism-related genes in disease progression and suggesting potential therapeutic targets for sepsis management.

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Publication Details

Journal
Scientific Reports
Published
2025-05-20
DOI
https://doi.org/10.1038/s41598-025-01150-8
Citations
1
Primary Topic
Macrophage Migration Inhibitory Factor
Type
article
Field-Weighted Citation Impact
0.80

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article

Sphingolipid metabolism-related genes as diagnostic markers in pneumonia-induced sepsis: the AUG model

Yi‐Ting Lin, Jianshi Zheng, Qiuyue Long, Zhihao Chen et al.
1 citations
Scientific Reports
Macrophage Migration Inhibitory Factor
0.80
article

Sphingolipid metabolism-related genes as diagnostic markers in pneumonia-induced sepsis: the AUG model

Yi‐Ting Lin, Jianshi Zheng, Qiuyue Long, Zhihao Chen, Ning Pu, Yali Zheng, Mingzheng Jiang, Minghui Wang, Xiaomin Li, Jing Wu, Jiwei Li, Shixu Song, Xiaoyi Hu, Hongli Ye, Fangfang Wu, Zhancheng Gao
article en
1 citations

Abstract

Pneumonia-induced sepsis (PIS) is a life-threatening condition with high mortality rates, necessitating the identification of biomarkers and therapeutic targets. Sphingolipid, particularly ceramides, are pivotal in modulating immune responses and determining cell fate. In this study, we identified a novel gene signature related to sphingolipid metabolism, comprising ACER3, UGCG, and GBA, which are key enzymes involved in the synthesis and metabolism of ceramides. This signature, termed the "AUG model", demonstrated strong diagnostic performance and modest prognostic efficacy across both training (GSE65682) and validation (E-MTAB-1548 and E-MTAB-5273) datasets. A clinical cohort comprising 20 PIS patients, 31 pneumonia cases, and 11 healthy controls further validated the increased expression of AUG genes at both mRNA and protein levels in peripheral blood samples upon admission. Our comprehensive analysis of bulk and single-cell transcriptome datasets revealed that these genes are implicated in immune cell death pathways, including autophagy and apoptosis. Additionally, cell-communication analysis indicated that enhanced macrophage migration inhibitory factor (MIF) signaling may be associated with dysregulated sphingolipid metabolism, potentially driving the inflammatory cascade. This study identifies a novel predictive model for PIS, highlighting the role of sphingolipid metabolism-related genes in disease progression and suggesting potential therapeutic targets for sepsis management.

Scientific ReportsVol. 15(1)
Peking University (CN), Peking University People's Hospital (CN), Xiamen Chang Gung Hospital (CN)
Natural Science Foundation of Fujian Province, Xiamen University
Good health and well-being
Openalex Percentile: Top 28%
Macrophage Migration Inhibitory Factor
0.80
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