Introduction: Sepsis is one of the most common causes of death among hospitalized patients in the intensive care unit (ICU). It is particularly difficult to diagnose in this setting because of the multiple comorbidities and underlying diseases that these patients present. In the clinical diagnosis, the current recommendation for identifying both sepsis and septic shock is the use of the SOFA score (sequential organ failure assessment score). SOFA is a system, which uses accessible parameters in daily clinical practice to identify dysfunction or failure of the key organs as a result of sepsis. This tools cannot be used alone, more abundant clinical assessment data should be complemented. The aim of this study was to analyze the clinical value of tripartite motif protein 52 (TRIM52) as a potential biomarker for predicting the risk of death in septic patients.
Materials And Methods: A case-control study was conducted on sepsis patients and healthy volunteers admitted to the First affiliated hospital of Chongqing Medical University. Sepsis patients that met the Sepsis-3 diagnostic criteria were included in the septic patient group. The levels of TRIM52 in the samples were detected by enzyme-linked immunosorbent assay. The area under the receiver operating characteristic (ROC) curve of TRIM52, SOFA score, APACHEII score, PCT, CRP, WBC and Creatinine for 28-day survival was used to evaluate the ability of TRIM52 in predicting the mortality of sepsis.
Results: The level of TRIM52 in patients with sepsis was significantly higher than that in healthy group (p < 0.05). Meanwhile, TRIM52 levels in non-surviving septic patients was higher than that in survivors (p < 0.05). The ROC curve analysis indicated that TRIM52 showed a better prediction of 28-day mortality risk in ICU sepsis patients compared to other indicators such as SOFA score, APACHEII score, PCT, CRP, and WBC, with AUC values, respectively (p < 0.05).
Conclusions: TRIM52 level in septic patients has an important value in predicting the 28-day mortality risk of septic patients, and may be a novel potential early clinical detecting indicator.
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http://dx.doi.org/10.1016/j.humimm.2024.111174 | DOI Listing |
Hum Immunol
November 2024
Department of Laboratory Medicine, First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China. Electronic address:
Introduction: Sepsis is one of the most common causes of death among hospitalized patients in the intensive care unit (ICU). It is particularly difficult to diagnose in this setting because of the multiple comorbidities and underlying diseases that these patients present. In the clinical diagnosis, the current recommendation for identifying both sepsis and septic shock is the use of the SOFA score (sequential organ failure assessment score).
View Article and Find Full Text PDFJ Gastrointest Oncol
June 2022
Department of General Surgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Background: With the advancement of early detection and treatment, the incidence of colon cancer (CC) has declined steadily worldwide; however, the mortality remains unacceptably high. () is a member of the family of highly conserved RBCC (a RING-finger, two B-boxes, and a predicted alpha-helical Coiled-Coil domain were linked to the N-terminal region in sequence) proteins with more than 70 isoforms, which plays an important role in tumorigenesis through different signaling pathways. How it regulates the development of CC remains unknown.
View Article and Find Full Text PDFFront Oncol
June 2022
School of Mathematics, Shandong University, Jinan, China.
Background: With the rapid development and wide application of high-throughput sequencing technology, biomedical research has entered the era of large-scale omics data. We aim to identify genes associated with breast cancer prognosis by integrating multi-omics data.
Method: Gene-gene interactions were taken into account, and we applied two differential network methods JDINAC and LGCDG to identify differential genes.
Int J Gen Med
February 2022
Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China.
Background: Hepatocellular carcinoma (HCC) is one of the most common and mortality types of malignant tumors in the world. The Tripartite-Motif (TRIM) protein family consists of more than 80 proteins with E3 ubiquitin ligase activity. Increasing studies have found that TRIM family proteins play an extremely important role in the occurrence and development of tumors.
View Article and Find Full Text PDFBiomed Res Int
February 2022
Center for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise City, Guangxi Province, China.
Background: Increasing evidence demonstrated that long noncoding RNA (lncRNA) could affect inflammatory tumor immune microenvironment by modulating gene expression and could be used as a biomarker for HBC-related hepatocellular carcinoma (HCC) but still needs further research. The aim of the present study was to determine an lncRNA signature for the diagnosis of HBV-related HCC.
Methods: HBV-related HCC expression profiles (GSE55092, GSE19665, and GSE84402) were abstracted from the GEO (Gene Expression Omnibus) data resource, and R package limma and RobustRankAggreg were employed to identify common differentially expressed genes (DEGs).
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