Multi-cohort transcriptomics integration for building and validating a diagnostic model of peripheral blood septic shock - Takeaways - MDSpire

Multi-cohort transcriptomics integration for building and validating a diagnostic model of peripheral blood septic shock

  • By

  • Ling Li

  • Kexun Li

  • Weiwei Qian

  • Hui Jiang

  • Hongqiong Peng

  • Yang Zhang

  • Zhengjun Chen

  • Xia Zeng

  • May 25, 2026

  • 0 min

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  • 1

    The study integrated multi-cohort transcriptomic data to identify diagnostic genes for septic shock in peripheral blood.

  • 2

    Five key genes (S100A12, MMP8, PGLYRP1, CEACAM8, MMP9) were selected using machine learning algorithms for the diagnostic model.

  • 3

    An artificial neural network (ANN) model was constructed, achieving high AUC values across multiple cohorts for septic shock diagnosis.

  • 4

    The METTL14/YTHDF1-mediated m6A-S100A12 axis was identified as a regulatory mechanism in neutrophils related to septic shock.

  • 5

    In vivo silencing of METTL14 in CLP mice reduced lung injury, suggesting its potential as a therapeutic target for septic shock.

Original Source(s)

Multi-cohort transcriptomics integration for building and validating a diagnostic model of peripheral blood septic shock

  • by Ling Li, Kexun Li, Weiwei Qian, Hui Jiang, Hongqiong Peng, Yang Zhang, Zhengjun Chen, Xia Zeng

  • May 25, 2026

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