Combining Single-Cell and Bulk Transcriptomic Analysis with Machine Learning Reveals LDHA as a Lactate-Associated Biomarker for Diagnosis and Prognosis in Sepsis - Poll - MDSpire

Combining Single-Cell and Bulk Transcriptomic Analysis with Machine Learning Reveals LDHA as a Lactate-Associated Biomarker for Diagnosis and Prognosis in Sepsis

  • By

  • Zhiying Lin

  • Hanping Shi

  • Xiaohong Chen

  • Chunli Yang

  • February 24, 2026

  • 0 min

Share

Original Source(s)

Combining Single-Cell and Bulk Transcriptomic Analysis with Machine Learning Reveals LDHA as a Lactate-Associated Biomarker for Diagnosis and Prognosis in Sepsis

  • by Zhiying Lin, Hanping Shi, Xiaohong Chen, Chunli Yang

  • February 24, 2026

Related Content

The mechanism of gut microbiota in septic cardiomyopathy based on the bulk transcriptome and Mendelian randomization analysis

Influence of Cardiovascular and Metabolic Comorbidities on the Severity and Outcomes of Hospital-Acquired Sepsis in ICU Patients: A Case-Control Analysis

Xiangdan Injection Mitigates Cardiac Injury in Experimental Sepsis through Inflammatory Suppression and Mitochondrial Protection