Evidence map›Paper›PMID 40394027›Full record

ArticleScientific reports2025

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

Jing Wu, Xiaomin Li, Zhihao Chen, Yiting Lin, Qiuyue Long, Mingzheng Jiang, Xiaoyi Hu, Shixu Song, Hongli Ye, Jiwei Li and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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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

16 authors.

Jing Wu *Department of Respiratory, Critical Care and Sleep Medicine, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, 361102, Fujian, China.
Xiaomin Li *Department of Respiratory, Critical Care and Sleep Medicine, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, 361102, Fujian, China.
Zhihao Chen *Department of Cardiology, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, Fujian, China.
Yiting LinDepartment of Respiratory and Critical Care Medicine, Xiamen Haicang Hospital, Xiamen, 361026, Fujian, China.
Qiuyue LongDepartment of Respiratory, Critical Care and Sleep Medicine, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, 361102, Fujian, China.
Mingzheng JiangDepartment of Respiratory, Critical Care and Sleep Medicine, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, 361102, Fujian, China.
Xiaoyi HuDepartment of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, 100044, China.
Shixu SongDepartment of Respiratory, Critical Care and Sleep Medicine, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, 361102, Fujian, China.
Hongli YeDepartment of Respiratory, Critical Care and Sleep Medicine, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, 361102, Fujian, China.
Jiwei LiDepartment of Respiratory, Critical Care and Sleep Medicine, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, 361102, Fujian, China.
Fangfang WuDepartment of Respiratory, Critical Care and Sleep Medicine, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, 361102, Fujian, China.
Jianshi ZhengDepartment of Respiratory, Critical Care and Sleep Medicine, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, 361102, Fujian, China.
Minghui WangDepartment of Respiratory, Critical Care and Sleep Medicine, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, 361102, Fujian, China.
Zhancheng GaoDepartment of Respiratory, Critical Care and Sleep Medicine, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, 361102, Fujian, China.
Pu NingDepartment of Pulmonary and Critical Care, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710000, Shanxi, China. pnbjmu@163.com.
Yali ZhengDepartment of Respiratory, Critical Care and Sleep Medicine, School of Medicine, Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen, 361102, Fujian, China. YLZheng@xmu.edu.cn.

Funding

the Fujian Province Health Care Young and Middle-aged Backbone Talents Training Project 2024GGB30the Haicang District Bureau of Industry and Information Technology, Xiamen City 350205Z20232002the Natural Science Foundation of Fujian Province 2023J01113407
6 · The paper itself

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.

Indexed as

PneumoniaSepsisSphingolipidsAgedBiomarkersCase-Control StudiesFemaleGene Expression ProfilingHumansMacrophage Migration-Inhibitory FactorsMaleMiddle AgedPrognosisTranscriptomeBiomarkersMacrophage Migration-Inhibitory FactorsSphingolipidsMIF signalingPneumonia-induced sepsisProgrammed cell deathSphingolipid metabolism

Identifiers

PMID40394027
PMCPMC12092762

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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.