Mining and exploration of appendicitis nursing targets: An observational study.

Appendicitis is an inflammation caused by obstruction of the appendiceal lumen or termination of blood supply leading to appendiceal necrosis followed by secondary bacterial infection. The relationship between TYROBP gene and the nursing of appendicitis remains unclear. The appendicitis dataset GSE9579 profile was downloaded from the gene expression omnibus database generated from GPL571. Differentially expressed genes were screened, followed by weighted gene co-expression network analysis, functional enrichment analysis, gene set enrichment analysis, construction and analysis of protein-protein interaction network, Comparative Toxicogenomics Database analysis, and immune infiltration analysis. Heatmaps of gene expression levels were plotted. A total of 1570 differentially expressed genes were identified. According to gene ontology analysis, they were mainly enriched in organic acid metabolic process, condensed chromosome kinetochore, oxidoreductase activity. In Kyoto Encyclopedia of Gene and Genome analysis, they mainly concentrated in metabolic pathways, P53 signaling pathway, PPAR signaling pathway. The soft threshold power in weighted gene co-expression network analysis was set to 12. Through the construction and analysis of protein-protein interaction network, 5 core genes (FCGR2A, IL1B, ITGAM, TLR2, TYROBP) were obtained. Heatmap of core gene expression levels revealed high expression of TYROBP in appendicitis samples. Comparative Toxicogenomics Database analysis found that core genes (FCGR2A, IL1B, ITGAM, TLR2, TYROBP) were closely related to abdominal pain, gastrointestinal dysfunction, fever, and inflammation occurrence. TYROBP gene is highly expressed in appendicitis, and higher expression of TYROBP gene indicates worse prognosis. TYROBP may serve as a molecular target for appendicitis and its nursing.

MYC and NCAPG2 as molecular targets of colorectal cancer and gastric cancer in nursing.

Colorectal cancer is a common malignant tumor in intestinal tract, the early symptoms are not obvious. Gastric cancer is a malignant tumor originating from the gastric mucosal epithelium. However, the role of MYC and non-SMC condensin II complex subunit G2 (NCAPG2) in colorectal cancer and gastric cancer remains unclear. The colorectal cancer datasets GSE49355 and gastric cancer datasets GSE19826 were downloaded from gene expression omnibus database. Differentially expressed genes (DEGs) were screened and weighted gene co-expression network analysis (WGCNA) was performed. Functional enrichment analysis, gene set enrichment analysis (GSEA) and immune infiltration analysis was performed. Construction and analysis of protein-protein interactions (PPI) network. Survival analysis and comparative toxicogenomics database (CTD) were performed. A heat map of gene expression was drawn. A total of 751 DEGs were obtained. According to the gene ontology (GO) analysis, in Biological process (BP) analysis, they are mainly enriched in cell differentiation, cartilage development, and skeletal development. In cellular component (CC) analysis, they are mainly enriched in the cytoskeleton of muscle cells and actin filaments. In molecular function (MF) analysis, they are mainly concentrated in Rho GTPase binding, DNA binding, and fibronectin binding. In Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis, they are mainly enriched in the MAPK signaling pathway, apoptosis, and cancer pathways. The soft threshold power for WGCNA analysis was set to 9, resulting in the generation of 40 modules. Ultimately, 2 core genes (MYC and NCAPG2) were identified. The heatmap of core gene expression showed high expression of MYC and NCAPG2 in colorectal cancer tissue samples and low expression in normal tissue samples, while they were core molecules in gastric cancer. Survival analysis indicated that MYC and NCAPG2 were risk factors, showing an upregulation trend with increasing risk scores. CTD analysis revealed associations of MYC and NCAPG2 with colorectal cancer, gastric cancer, inflammation, and immune system diseases. MYC and NCAPG2 are highly expressed in colorectal cancer. The higher the expression of MYC and NCAPG2, the worse the prognosis. MYC and NCAPG2 are core molecules in gastric cancer.

Analysis of factors related to thrombosis in patients with PICC placements.

This study aimed to investigate the conditions of patients with peripherally inserted central catheter (PICC) placements, analyze the risk factors influencing thrombosis in PICC-placed patients, and formulate more accurate and effective PICC management strategies. A total of 147 patients undergoing PICC placements were selected as the study subjects. Clinical data were collected, and the patients were divided into thrombosis and non-thrombosis groups. Detect levels of bilirubin, white blood cells, venous pressure, heparin concentration, blood flow, citric acid, and platelets. Pearson chi-square test, Spearman correlation analysis, as well as univariate and multivariate logistic regression were employed to analyze independent risk factors. Among the 147 patients with PICC placements, there were 84 males and 63 females. Thrombosis occurred in 116 cases, with an incidence rate of 78.91%. Pearson chi-square test showed a significant correlation between citric acid, blood flow, platelets and frailty (P < .001) with thrombosis formation. Spearman correlation analysis revealed a significant correlation between citric acid (ρ = -0.636, P < .001), blood flow (ρ = 0.584, P < .001), platelet count (ρ = 0.440, P < .001), frailty (ρ = -0.809, P < .001) and thrombosis in PICC placement patients. Univariate logistic regression analysis indicated a significant correlation between thrombosis formation and citric acid (OR = 0.022, 95% CI = 0.006-0.08, P < .001), blood flow (OR = 33.973, 95% CI = 9.538-121.005, P < .001), platelet count (OR = 22.065, 95% CI = 5.021-96.970, P < .001), frailty (OR = 0.003, 95% CI = 0.001-0.025, P < .001). Multivariate logistic regression analysis also showed a significant correlation between thrombosis formation and citric acid (OR = 0.013, 95% CI = 0.002-0.086, P < .001), blood flow (OR = 35.064, 95% CI = 6.385-192.561, P < .001), platelet count (OR = 4.667, 95% CI = 0.902-24.143, P < .001), frailty (OR = 0.006, 95% CI = 0.001-0.051, P < .001). However, gender (OR = 0.544, 95% CI = 0.113-2.612, P = .447), age (OR = 4.178, 95% CI = 0.859-20.317, P = .076), bilirubin (OR = 2.594, 95% CI = 0.586-11.482, P = .209), white blood cells (OR = 0.573, 95% CI = 0.108-3.029, P = .512), venous pressure (OR = 0.559, 95% CI = 0.129-2.429, P = .438), and heparin concentration (OR = 2.660, 95% CI = 0.333-21.264, P = .356) showed no significant correlation with thrombosis formation. Patients with PICC placements have a higher risk of thrombosis, citric acid, blood flow, platelet count and frailty are the main risk factors.