Background <p>Sepsis remains a leading cause of global morbidity and mortality, yet early diagnosis is hindered by the limited specificity and sensitivity of current biomarkers.</p> Aim <p>The aim of this study was to identify lncRNAs that play a key role in sepsis and provide potential biomarkers for the diagnosis and treatment of sepsis.</p> Methods <p>Transcriptomic data from sepsis patients were retrieved from the Chinese National Genebank (CNGBdb). Differential expression analysis identified 2,348 LncRNAs and 5,125 mRNAs (|FC|≥2, FDR &lt; 0.05). Weighted gene co-expression network analysis (WGCNA) and meta-analysis were applied to screen core genes. Gene set enrichment analysis (GSEA) explored functional pathways, while single-cell sequencing and qPCR validated cellular localization and expression patterns.</p> Results <p>WGCNA identified three key genes: LINC02363 (LncRNA), DYNLT1, and FCGR1B. Survival and meta-analyses revealed strong correlations between these genes and sepsis outcomes. GSEA highlighted LINC02363’s involvement in “herpes simplex virus type 1 infection,” “tuberculosis,” and ribosome pathways. Single-cell sequencing showed FCGR1B’s broad distribution across immune cells, while DYNLT1 localized predominantly in macrophages. qPCR confirmed significant upregulation of LINC02363 (<i>p</i> &lt; 0.01), FCGR1B (<i>p</i> &lt; 0.05), and DYNLT1 (<i>p</i> &lt; 0.05) in sepsis patients compared to controls.</p> Conclusion <p>LINC02363 may serve as a new biomarker for the diagnosis and treatment of sepsis.</p>

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LINC02363: a potential biomarker for early diagnosis and treatment of sepsis

  • Linghan Leng,
  • Hao Wang,
  • Yingchun Hu,
  • Li Hu

摘要

Background

Sepsis remains a leading cause of global morbidity and mortality, yet early diagnosis is hindered by the limited specificity and sensitivity of current biomarkers.

Aim

The aim of this study was to identify lncRNAs that play a key role in sepsis and provide potential biomarkers for the diagnosis and treatment of sepsis.

Methods

Transcriptomic data from sepsis patients were retrieved from the Chinese National Genebank (CNGBdb). Differential expression analysis identified 2,348 LncRNAs and 5,125 mRNAs (|FC|≥2, FDR < 0.05). Weighted gene co-expression network analysis (WGCNA) and meta-analysis were applied to screen core genes. Gene set enrichment analysis (GSEA) explored functional pathways, while single-cell sequencing and qPCR validated cellular localization and expression patterns.

Results

WGCNA identified three key genes: LINC02363 (LncRNA), DYNLT1, and FCGR1B. Survival and meta-analyses revealed strong correlations between these genes and sepsis outcomes. GSEA highlighted LINC02363’s involvement in “herpes simplex virus type 1 infection,” “tuberculosis,” and ribosome pathways. Single-cell sequencing showed FCGR1B’s broad distribution across immune cells, while DYNLT1 localized predominantly in macrophages. qPCR confirmed significant upregulation of LINC02363 (p < 0.01), FCGR1B (p < 0.05), and DYNLT1 (p < 0.05) in sepsis patients compared to controls.

Conclusion

LINC02363 may serve as a new biomarker for the diagnosis and treatment of sepsis.