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August 1, 2026Journal of Cellular Physiology

Multiomics Profiling Identifies Blood‐Based Diagnostic Markers for Sepsis

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Authors

XZXin ZhangXGXiaoqing GuoSJShuai Jiang

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Overview

Randomized trial identifies blood-based diagnostic markers for sepsis, suggesting a novel approach to early detection and risk assessment.

Key Points

  • This study aims to identify reliable diagnostic markers for sepsis using multiomics profiling.
  • Integrated large-scale transcriptomic profiling with machine learning algorithms.
  • Utilized sham-controlled cecal ligation and puncture murine models and in vitro models.
  • Conducted single-cell RNA sequencing to localize gene expression in the myeloid immune compartment.
  • Identified a robust three-gene signature (TLR5, HMGB2, C19orf59) for sepsis diagnosis.
  • TLR5 and HMGB2 effectively identify high-risk sepsis, while C19orf59 shows consistent efficacy across all severity levels.
  • In vivo models confirmed persistent upregulation of the signature across vital organs and systemic circulation.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6a6d9819e258b358b3c6afb9https://doi.org/10.1002/jcp.70213
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