SHKBP1 is a target for sepsis: evidence from WGCNA and multiple machine learning algorithms

Our study provides a comprehensive analysis of CRGs expression in sepsis, establishes a diagnostic model, and identifies SHKBP1 as a biomarker for both diagnosis and prognosis prediction, offering new insights for sepsis management.

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Publication Details

Journal
Frontiers in Immunology
Published
2025-12-08
DOI
https://doi.org/10.3389/fimmu.2025.1709188
Citations
1
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.35
Controls
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article

SHKBP1 is a target for sepsis: evidence from WGCNA and multiple machine learning algorithms

1 citations
Frontiers in Immunology
Sepsis Diagnosis and Treatment
1.35
article

SHKBP1 is a target for sepsis: evidence from WGCNA and multiple machine learning algorithms

article en
1 citations

Abstract

Our study provides a comprehensive analysis of CRGs expression in sepsis, establishes a diagnostic model, and identifies SHKBP1 as a biomarker for both diagnosis and prognosis prediction, offering new insights for sepsis management.

Frontiers in ImmunologyVol. 16
Dalian Medical University (CN), Second Affiliated Hospital of Chongqing Medical University (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 13%
Sepsis Diagnosis and Treatment
1.35
DOIOpen Access PDFOpenAlex
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