Work

Comprehensive Multi‐Omics Integration Reveals B Cell‐Derived ELL2 as a Novel Diagnostic and Prognostic Biomarker in Sepsis

Year: 2025

Type: article

Abstract: We analyzed bulk transcriptome sequencing data from 10 cohorts of sepsis patients. Using unbiased patient clustering, we identified three subtypes with significantly different prognoses, which were consistently reproduced across all 10 cohorts. Through comprehensive multi-angle analyses, we revealed distinct differences among the subtypes in terms of inflammation, immune responses, and functional pathways. By integrating multiple machine learning algorithms with single-cell transcriptomic analysis, we identified ELL2 as an effective diagnostic and prognostic biomarker for sepsis. This study offers new insights into the mechanisms underlying sepsis progression and highlights the importance of continuous monitoring of ELL2 expression during early diagnosis and treatment.

Source: Med Research

DOI: 10.1002/mdr2.70010

Authors: Xuan Wang, Jihong Li, Jingyuan Ning

Institutions: Hebei Medical University, Second Hospital of Hebei Medical University, Chinese Academy of Medical Sciences & Peking Union Medical College, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences

Language: English

Topic: Sepsis Diagnosis and Treatment

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: Natural Science Foundation of Hebei Province