Data-driven analysis that integrates bioinformatics and machine learning uncovers PANoptosis-related diagnostic genes in early pediatric septic shock

In summary, the discovery of PANoptosis genes, ANXA3, S100A9, TXN, CLEC5A, and TMEM263 proved to be quite helpful in the early detection of pediatric septic shock patients. These early results, which need to be further confirmed in basic and clinical research, are extremely important for understanding immune cell infiltration in the pathophysiology of pediatric septic shock.

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Publication Details

Journal
Heliyon
Published
2024-09-01
DOI
https://doi.org/10.1016/j.heliyon.2024.e37853
Citations
5
Primary Topic
Clusterin in disease pathology
Type
article
Field-Weighted Citation Impact
1.41
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article

Data-driven analysis that integrates bioinformatics and machine learning uncovers PANoptosis-related diagnostic genes in early pediatric septic shock

Dajie Zhou, Jing Wang, Lei Chen, S.-H. Chen
5 citations
Heliyon
Clusterin in disease pathology
1.41
article

Data-driven analysis that integrates bioinformatics and machine learning uncovers PANoptosis-related diagnostic genes in early pediatric septic shock

Dajie Zhou, Jing Wang, Lei Chen, S.-H. Chen
article en
5 citations

Abstract

In summary, the discovery of PANoptosis genes, ANXA3, S100A9, TXN, CLEC5A, and TMEM263 proved to be quite helpful in the early detection of pediatric septic shock patients. These early results, which need to be further confirmed in basic and clinical research, are extremely important for understanding immune cell infiltration in the pathophysiology of pediatric septic shock.

HeliyonVol. 10(18)
Yuhuangding Hospital (CN)
Zero hunger
Openalex Percentile: Top 15%
Clusterin in disease pathology
1.41
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