The significance of long chain non-coding RNA signature genes in the diagnosis and management of sepsis patients, and the development of a prediction model.

Journal: Frontiers in immunology

PMID: 39735547

Abstract

BACKGROUND: Sepsis is a life-threatening organ dysfunction condition produced by dysregulation of the host response to infection. It is now characterized by a high clinical morbidity and mortality rate, endangering patients' lives and health. The purpose of this study was to determine the value of Long chain non-coding RNA (LncRNA) RP3_508I15.21, RP11_295G20.2, and LDLRAD4_AS1 in the diagnosis of adult sepsis patients and to develop a Nomogram prediction model.

Authors

Yong Bai

Intensive Care Unit, Hubei University of Medicine, Renmin Hospital, Shiyan, Hubei, China.
Jing Gao

Department of Gastroenterology 3, Hubei University of Medicine, Renmin Hospital, Shiyan, Hubei, China.
Yuwen Yan

Institute of Clinical Medicine, Hubei University of Medicine, Renmin Hospital, Shiyan, Hubei, China.
Xu Zhao

Intensive Care Unit, Hubei University of Medicine, Renmin Hospital, Shiyan, Hubei, China.

Keywords

Adult Biomarkers Computational Biology Databases, Genetic Female Gene Expression Profiling Gene Regulatory Networks Humans Machine Learning Male Middle Aged Nomograms Prognosis RNA, Long Noncoding ROC Curve Sepsis Support Vector Machine Transcriptome

External Resources

View on PubMed Access via DOI PubMed (39735547)

The significance of long chain non-coding RNA signature genes in the diagnosis and management of sepsis patients, and the development of a prediction model.

Abstract

Authors

Keywords

External Resources

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