Evidence map›Paper›PMID 37661250›Full record

ArticleEuropean journal of medical research2023

A hypoxia- and lactate metabolism-related gene signature to predict prognosis of sepsis: discovery and validation in independent cohorts.

Yaojun Peng, Qiyan Wu, Xinhuan Ding, Lingxiong Wang, Hanpu Gong, Cong Feng, Tianyi Liu, Haiyan Zhu

Abstract read
In one paragraph

Article in European journal of medical research, 2023. 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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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. TGFBI Inhibits the Pyroptosis of Macrophages to Ameliorate Septic Shock.Journal of cellular and molecular medicine · 2025
    Article
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yaojun Peng *Medical School of Chinese PLA General Hospital, Beijing, China.
Qiyan Wu *Institute of Oncology, The Fifth Medical Centre, Chinese PLA General Hospital, Beijing, China.
Xinhuan Ding *Medical School of Chinese PLA General Hospital, Beijing, China.
Lingxiong WangInstitute of Oncology, The Fifth Medical Centre, Chinese PLA General Hospital, Beijing, China.
Hanpu GongDepartment of Emergency, The First Medical Center, Chinese PLA General Hospital, 28th Fuxing Road, Beijing, China.
Cong FengDepartment of Emergency, The First Medical Center, Chinese PLA General Hospital, 28th Fuxing Road, Beijing, China.
Tianyi LiuInstitute of Oncology, The Fifth Medical Centre, Chinese PLA General Hospital, Beijing, China.
Haiyan ZhuDepartment of Emergency, The First Medical Center, Chinese PLA General Hospital, 28th Fuxing Road, Beijing, China. xiaoyanzibj301@163.com.

Funding

Major Science and Technology Program of Hainan Province No. ZDKJ202004National Key Research and Development Program of China No. 2019YFC0119600National Natural Science Foundation of China No. 82072200Translational Medicine Research Program of Chinese PLA General Hospital No. 2018TM-06
6 · The paper itself

Abstract

backgroundHigh throughput gene expression profiling is a valuable tool in providing insight into the molecular mechanism of human diseases. Hypoxia- and lactate metabolism-related genes (HLMRGs) are fundamentally dysregulated in sepsis and have great predictive potential. Therefore, we attempted to build an HLMRG signature to predict the prognosis of patients with sepsis.

methodsThree publicly available transcriptomic profiles of peripheral blood mononuclear cells from patients with sepsis (GSE65682, E-MTAB-4421 and E-MTAB-4451, total n = 850) were included in this study. An HLMRG signature was created by employing Cox regression and least absolute shrinkage and selection operator estimation. The CIBERSORT method was used to analyze the abundances of 22 immune cell subtypes based on transcriptomic data. Metascape was used to investigate pathways related to the HLMRG signature.

resultsWe developed a prognostic signature based on five HLMRGs (ERO1L, SIAH2, TGFA, TGFBI, and THBS1). This classifier successfully discriminated patients with disparate 28-day mortality in the discovery cohort (GSE65682, n = 479), and consistent results were observed in the validation cohort (E-MTAB-4421 plus E-MTAB-4451, n = 371). Estimation of immune infiltration revealed significant associations between the risk score and a subset of immune cells. Enrichment analysis revealed that pathways related to antimicrobial immune responses, leukocyte activation, and cell adhesion and migration were significantly associated with the HLMRG signature.

conclusionsIdentification of a prognostic signature suggests the critical role of hypoxia and lactate metabolism in the pathophysiology of sepsis. The HLMRG signature can be used as an efficient tool for the risk stratification of patients with sepsis.

Indexed as

Leukocytes, MononuclearSepsisHumansHypoxiaLactatesPrognosisLactatesHypoxiaLactate metabolismPrognosisSepsisTranscriptomic analysis

Identifiers

PMID37661250
PMCPMC10476321

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