Age-related stress gene expression in neonatal sepsis involves regulatory networks and immune cell infiltration

Septicemia triggers a profound systemic inflammatory response, ultimately leading to cellular senescence. Understanding the mechanisms underlying intercellular interactions associated with sepsis is crucial for developing therapeutic strategies targeting sepsis and its associated complications. Neonatal septicemia (NS) is a critical condition characterized by systemic infection in newborns. Currently, there are no effective indicators for the early identification of sepsis and precise screening of newborns who truly require antibiotic treatment, which results in delayed diagnosis of neonatal sepsis and the overuse of antibiotics. We aimed to elucidate cellular senescence-related genes (CSRGs) in the context of NS and to investigate their potential regulatory networks and immune infiltration patterns. Our analysis identified 391 DEGs, including 301 upregulated and 90 downregulated genes and 15 differentially expressed CSRGs (CSRDEGs), including STAT3, MAPK14, IGFBP7, PPARG, and ETS2. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses revealed enrichment in biological processes, including cellular senescence, and pathways involving PD-L1 expression in cancer. Gene Set Enrichment Analysis highlighted significant pathways, including selenoamino acid metabolism and neutrophil degranulation. Protein-protein interaction network analysis identified eight hub genes: STAT3, MAPK14, CEBPB, TLR2, ETS1, JUNB, PPARG, and MAP3K5. Regulatory network analysis revealed interactions between CSRDEGs and multiple transcription factors/miRNAs. Immune infiltration analysis revealed profound differences in the composition of immune cells between the normal and NS groups. Our study findings offer valuable information for future research on therapeutic targets and diagnostic markers of NS.

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Publication Details

Journal
Scientific Reports
Published
2025-05-29
DOI
https://doi.org/10.1038/s41598-025-01442-z
Citations
1
Primary Topic
Neonatal and Maternal Infections
Type
article
Field-Weighted Citation Impact
1.88
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article

Age-related stress gene expression in neonatal sepsis involves regulatory networks and immune cell infiltration

Yiran Peng, Xiaoping Zou, Hong Huo, Yongxue Lu et al.
1 citations
Scientific Reports
Neonatal and Maternal Infections
1.88
article

Age-related stress gene expression in neonatal sepsis involves regulatory networks and immune cell infiltration

Yiran Peng, Xiaoping Zou, Hong Huo, Yongxue Lu, Rongqiao He, Jenny Y. Zhou, Suhua Jiang
article en
1 citations

Abstract

Septicemia triggers a profound systemic inflammatory response, ultimately leading to cellular senescence. Understanding the mechanisms underlying intercellular interactions associated with sepsis is crucial for developing therapeutic strategies targeting sepsis and its associated complications. Neonatal septicemia (NS) is a critical condition characterized by systemic infection in newborns. Currently, there are no effective indicators for the early identification of sepsis and precise screening of newborns who truly require antibiotic treatment, which results in delayed diagnosis of neonatal sepsis and the overuse of antibiotics. We aimed to elucidate cellular senescence-related genes (CSRGs) in the context of NS and to investigate their potential regulatory networks and immune infiltration patterns. Our analysis identified 391 DEGs, including 301 upregulated and 90 downregulated genes and 15 differentially expressed CSRGs (CSRDEGs), including STAT3, MAPK14, IGFBP7, PPARG, and ETS2. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses revealed enrichment in biological processes, including cellular senescence, and pathways involving PD-L1 expression in cancer. Gene Set Enrichment Analysis highlighted significant pathways, including selenoamino acid metabolism and neutrophil degranulation. Protein-protein interaction network analysis identified eight hub genes: STAT3, MAPK14, CEBPB, TLR2, ETS1, JUNB, PPARG, and MAP3K5. Regulatory network analysis revealed interactions between CSRDEGs and multiple transcription factors/miRNAs. Immune infiltration analysis revealed profound differences in the composition of immune cells between the normal and NS groups. Our study findings offer valuable information for future research on therapeutic targets and diagnostic markers of NS.

Scientific ReportsVol. 15(1)
First People's Hospital of Foshan (CN)
Openalex Percentile: Top 15%
Neonatal and Maternal Infections
1.88
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