Association of circulating long non-coding RNA HULC expression with disease risk, inflammatory cytokines, biochemical index levels, severity-assessed scores, and mortality of sepsis

Haiyan Wang,Qiang Feng,Yiping Wu, Lingxiang Feng, Haiyan Yuan,Liyan Hou, Peixuan Wei, Chao Wang,Jingmei Wang

JOURNAL OF CLINICAL LABORATORY ANALYSIS(2021)

Cited 8|Views3
No score
Abstract
Background The present study aimed to explore the correlation of long non-coding RNA highly up-regulating in liver cancer (lncRNA HULC) with disease risk, inflammatory cytokines, biochemical indexes, disease severity, infective features, and 28-day mortality of sepsis. Methods Totally 174 sepsis patients and 100 controls were enrolled. Peripheral blood samples were collected from sepsis patients after diagnosis and from controls at enrollment, respectively, and further for separation of peripheral blood mononuclear cell (PBMC) and serum samples. PBMC samples were for lncRNA HULC detection, and serum samples were for inflammatory cytokine detection. Results LncRNA HULC expression was increased in sepsis patients compared with controls. Moreover, lncRNA HULC was positively associated with TNF-alpha, IL-6, IL-17, intercellular adhesion molecule 1, vascular cell adhesion molecule 1, serum creatinine, white blood cell, and C-reactive protein in sepsis patients, but not in controls. Furthermore, in sepsis patients, lncRNA HULC expression was positively correlated with acute physiology and chronic health evaluation II score and sequential organ failure assessment score, but not correlated with primary infection sites or primary infection organisms; meanwhile, lncRNA HULC expression was increased in deaths compared with survivors; subsequent receiver operating characteristic curve indicated that lncRNA HULC presented good value in predicting increased 28-day mortality (AUC: 0.785, 95% CI: 0.713-0.857), and its independent predictive value for mortality was also verified by multivariate analysis. Conclusion LncRNA HULC is correlated with higher disease risk, severity, and inflammation and serves as an independent factor for predicting increased mortality, suggesting its potential in promoting accuracy of prognostic prediction for sepsis management.
More
Translated text
Key words
disease severity,inflammatory cytokines,long non&#8208,coding RNA HULC,mortality,sepsis
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined