Identifying potential three key targets gene for septic shock in children using bioinformatics and machine learning methods

In this study, three core genes (CD163, MCEMP1 and RETN) that lead to sepsis death in children were screened out, providing a new understanding of the lethal mechanism of sepsis in children and a promising new therapeutic approach.

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Publication Details

Journal
Frontiers in Immunology
Published
2025-06-17
DOI
https://doi.org/10.3389/fimmu.2025.1586584
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying potential three key targets gene for septic shock in children using bioinformatics and machine learning methods

Wei Guo, Kezhu Chen, Feng Wang, Hao Chen et al.
Frontiers in Immunology
Sepsis Diagnosis and Treatment
article

Identifying potential three key targets gene for septic shock in children using bioinformatics and machine learning methods

Wei Guo, Kezhu Chen, Feng Wang, Hao Chen, Shan Wang, Chen Hong, Wei Zhang, Yifan Chi
article en

Abstract

In this study, three core genes (CD163, MCEMP1 and RETN) that lead to sepsis death in children were screened out, providing a new understanding of the lethal mechanism of sepsis in children and a promising new therapeutic approach.

Frontiers in ImmunologyVol. 16
Harbin Medical University (CN), Heilongjiang University of Chinese Medicine (CN), Heilongjiang Academy of Sciences (CN), First Affiliated Hospital of Heilongjiang University of Chinese Medicine (CN), Shaanxi Provincial Hospital of Traditional Chinese Medicine (CN), First Affiliated Hospital of Harbin Medical University (CN)
Openalex Percentile: Top 80%
Sepsis Diagnosis and Treatment
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Identifying potential three key targets gene for septic shock in children using bioinformatics and machine learning methods — Wei Guo, Kezhu Chen, et al. · Frontiers in Immunology (2025) | TGRS Research Map | TGRS