Multi-omics and Machine Learning Identify Sodium Overload Biomarkers in Sepsis

This study integrates multiple transcriptomic datasets with machine learning and molecular subtyping to uncover sodium overload-related molecular subtypes and biomarkers in sepsis. Researchers identified a five-biomarker signature and validated their functional roles through single-cell RNA sequencing and in vitro experiments. The findings highlight sodium dysregulation's role in sepsis and offer potential diagnostic tools.

Originally published by gnews