Identification of Immune-Related Genes as Potential Biomarkers in Early Septic Shock

被引:0
|
作者
Liu, Beibei [1 ,2 ]
Fan, Yonghua [3 ]
Zhang, Xianjing [3 ]
Li, Huaqing [1 ]
Gao, Fei [1 ]
Shang, Wenli [1 ]
Hu, Juntao [2 ]
Tang, Zhanhong [2 ]
机构
[1] Shandong First Med Univ, Dept Intens Care Unit, Affiliated Hosp 2, Tai An, Peoples R China
[2] Guangxi Med Univ, Dept Intens Care Unit, Affiliated Hosp 1, Nanning, Peoples R China
[3] Shandong First Med Univ, Dept Emergency Intens Care Unit, Affiliated Hosp 2, Tai An, Peoples R China
基金
中国国家自然科学基金;
关键词
Septic shock; Immune infiltration; Weighted gene co-expression network analysis; Biomarkers; PECAM-1; SEPSIS; NEUTROPHILS; DIAGNOSIS; CELLS;
D O I
10.1159/000540949
中图分类号
R392 [医学免疫学];
学科分类号
100102 ;
摘要
Introduction: Septic shock, a severe manifestation of infection-induced systemic immune response, poses a critical threat resulting in life-threatening multi-organ failure. Early diagnosis and intervention are imperative due to the potential for irreversible organ damage. However, specific and sensitive detection tools for the diagnosis of septic shock are still lacking. Methods: Gene expression files of early septic shock were obtained from the Gene Expression Omnibus (GEO) database. CIBERSORT analysis was used to evaluate immune cell infiltration. Genes related to immunity and disease progression were identified using weighted gene co-expression network analysis (WGCNA), followed by enrichment analysis. CytoHubba was then employed to identify hub genes, and their relationships with immune cells were explored through correlation analysis. Blood samples from healthy controls and patients with early septic shock were collected to validate the expression of hub genes, and an external dataset was used to validate their diagnostic efficacy. Results: Twelve immune cells showed significant infiltration differences in early septic shock compared to control, such as neutrophils, M0 macrophages, and natural killer cells. The identified immune and disease-related genes were mainly enriched in immune, cell signaling, and metabolism pathways. In addition, six hub genes were identified (PECAM1, F11R, ITGAL, ICAM3, HK3, and MCEMP1), all significantly associated with M0 macrophages and exhibiting an area under curve of over 0.7. These genes exhibited abnormal expression in patients with early septic shock. External datasets and real-time qPCR validation supported the robustness of these findings. Conclusion: Six immune-related hub genes may be potential biomarkers for early septic shock. Septic shock is a dangerous condition that happens when an infection spreads through the body and triggers a strong immune response, leading to the failure of multiple organs. Recognizing and treating septic shock quickly is crucial to prevent lasting damage to the body's organs. However, doctors currently do not have highly effective tools to diagnose septic shock early. In this study, we looked at genetic information from patients with early septic shock. We used a large public database to find patterns in gene activity that could help identify the condition. By analyzing the genes, we could tell which types of immune cells were involved. We discovered that certain immune cells, like neutrophils, M0 macrophages (a kind of white blood cell that helps fight infections), and natural killer cells, were more active in patients with septic shock. We also found genes that are active during immune responses and disease progression. These genes were mostly involved in the body's defense system, cell communication, and energy use. Among these genes, six stood out as being closely connected to M0 macrophages. These six genes could potentially serve as early warning signs for doctors to detect septic shock, as they were good at distinguishing between patients with and without the condition. In summary, the study identified six genes that might be useful for spotting septic shock early on. These findings could lead to better diagnostic tools, helping doctors to treat patients before their condition becomes critical.
引用
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页数:16
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