Identification of oxidative stress-related genes associated with immune cells in Aortic Valve Stenosis based on bioinformatics analysis.

Aortic valve stenosis (AS) is the most common clinical valvular heart disease. Without effective pharmaceutical therapy at present, identifying effective therapeutic targets is critical. However, the pathological and molecular mechanisms of aortic stenosis are complex, including inflammatory infiltration, oxidative stress and so on. In this study, we investigated how oxidative stress interacts with immune cell infiltration in aortic stenosis using bioinformatics analysis, and provide a better understanding of aortic valve stenosis at the pathophysiologic level. After obtaining the datasets, including GSE153555, GSE51472 and GSE12644, from the Gene Expression Omnibus (GEO) database, the package 'limma' was applied to identify the differentially expressed genes (DEGs) in GSE153555. The GeneCards database searched for oxidative stress-related genes. We evaluated the expression of 22 immune cells using Cibersort. Clustering differentially expressed genes into different modules via Weighted gene correlation network analysis (WGCNA) and exploring the relationship among modules and immune cell types. The genes in modules intersected with oxidative stress-related genes to find oxidative stress genes related to immune infiltration. Finally, the GSE51472 and GSE12644 datasets were used to initially verify oxidative stress-related genes in aortic valve stenosis. A total of 1213 differentially expressed genes were identified in the GSE153555 dataset, and 279 of them were oxidative stress-related genes. Increased infiltration of B cell navie and Macrophages M1 in aortic stenosis was found. Using WGCNA, we clustered 15 modules. The brown module was identified as the most significant template positively correlated with T-cell regulatory Treg, and the magenta module was identified as a critical module associated with M1 macrophages with the highest negative correlation coefficient. The results verified by other datasets showed that in comparison to normal people, the aortic stenosis patients exhibited dramatically high IGFBP2 and SPHK1 expression. Both IGFBP2 and SPHK1 may be significantly involved in the mechanism of aortic stenosis pathophysiologically and can be used for aortic stenosis early detection, therapy, and therapeutic targets.

Intrathoracic infections in Hodgkin lymphoma (HL) patients may cooperate with HL to trigger hemophagocytic lymphohistiocytosis: A retrospective study.

Hodgkin lymphoma (HL)-related hemophagocytic lymphohistiocytosis (HLH) has been reported in the literature; however, there is almost no literature on the factors related to HL triggering HLH. One hundred forty patients with HL were retrospectively analyzed. The incidence of HL-related HLH (we call HL-related HLH as HL-HLH). And all HL-HLH patients in our cohort had HLH as the first manifestation and its clinical characteristics and the role of intrathoracic infection (ITI) in triggering HLH are discussed. The 140 patients with HL mainly included mixed-cellularity classic HL (MCCHL) in 81 (57.9%), nodular sclerosis classic HL (NSCHL) in 36 (25.7%), and lymphacyte-rich classic HL in 14 (10.0%) patients. Of the 137 patients who underwent chest computed tomography scans on admission, 44 had ITI, and most of these ITI were mildly ill and had no respiratory symptoms. Among 140 HL patients, 8 patients from MCCHL were diagnosed as HL-HLH. Among 81 MCCHL patients, 26 patients with ITI had a significantly higher incidence of HL-HLH than those without ITI (26.9% vs 1.8%, P = .002). The median survival time of 8 cases of HL-HLH was only 2 months. When HL patients were first admitted to the hospital, 5.7% had HLH as the first manifestation, and 32.1% had ITI. These ITI can cooperate with HL to trigger HLH, despite their mild illness. The prognosis of HL-HLH was poor.

Intrapleural infections in patients with subcutaneous panniculitis-like T-cell lymphoma are susceptible to hemophagocytic lymphohistiocytosis.

Patients with subcutaneous panniculitis-like T-cell lymphoma (SPTCL) are prone to the development of hemophagocytic lymphohistiocytosis (HLH). It is not known whether small infections in SPTCL patients can trigger the development of HLH. The clinical data were collected from 21 SPTCL patients admitted to our hospital from January 2006 to October 2019. Among 21 cases of SPTCL, six cases had HLH as the first manifestation (SPTCL/HLH), seven cases had intrathoracic infection (ITI), five cases were SPTCL/HLH, 13 cases had no ITI or HLH (SPTCL/no HLH). Two patients with SPTCL/noHLH healed spontaneously. We found that 28.6% of the SPTCL patients had HLH as the first presentation. ITI may cooperate with SPTCL to trigger HLH and a small number of SPTCL/noHLH can fully recover without treatment.

Clinical analysis of 20 patients with non-Hodgkin lymphoma and autoimmune hemolytic anemia: A retrospective study.

Non-Hodgkin lymphoma (NHL) can co-exist with autoimmune hemolytic anemia (AIHA), a phenomenon known as AIHA-associated NHL (AIHA/NHL). However, few studies have reported AIHA/NHL incidence or its clinical characteristics. We conducted a retrospective analysis of 20 AIHA/NHL patients treated at our hospital from 2009 to 2018. AIHA/NHL was presented by only 0.91% of the NHL and 9.8% of the AIHA patients. In addition, AIHA occurred most frequently with angioimmunoblastic T-cell lymphoma (AITL) (7.31%), followed by marginal zone B-cell lymphoma (MZBL) (6.25%), B-cell lymphoma-unclassified (BCL-U) (4.25%), chronic lymphocytic leukemia/small lymphocyte lymphoma (CLL/SLL) (2.50%), and mantle cell lymphoma (MCL) (2.30%). In addition to the CLL/SLL patients with impaired bone marrow, 66.7% of the AIHA/NHL patients had lymphoma bone marrow infiltration (LBMI), of which 4 patients presented LBMI in bone marrow smears (BMS) but not in bone marrow biopsy (BMB) and 6 were positive for BMB but not BMS. The 1-, 3- and 5-year survival rates of AIHA/NHL patients were 70%, 30% and 20%, respectively, and they responded poorly to chemotherapy. In conclusion, AIHA can co-exist with various NHLs and the defining clinical characteristic of AIHA/NHL is the high incidence of LBMI. However, both BMS and BMB should be performed to avoid missed diagnosis.

Prognostic Value of mRNA Expression of MAP4K Family in Acute Myeloid Leukemia.

BACKGROUND: Despite diverse functions in diseases, the prognostic potential of the family of mitogen-activated protein kinase kinase kinase kinase genes in acute myeloid leukemia remains unknown. METHODS: The messenger RNA expression of the MAP4K family members in 151 patients with acute myeloid leukemia was extracted from the OncoLnc database. Data for gender, age, cytogenetic, leukocyte count, CD34, FAB classification, RUNX1, and TP53 were provided by the University of California-Santa Cruz Xena platform. Kaplan-Meier analysis and Cox regression model provided an estimate of the hazard ratio with 95% confidence intervals for overall survival. RESULTS: Analysis demonstrated favorable overall survival in patients with acute myeloid leukemia attributing to high expression of MAP4K3, MAP4K4, and MAP4K5 and low expression of MAP4K1 (adjusted P = .005, P = .022, P = .002, and P = .024; adjusted hazard ratio = 0.490, 95% confidence interval = 0.297-0.809, hazard ratio = 0.598, 95% confidence interval = 0.385-0.928, hazard ratio = 0.490, 95% confidence interval = 0.310-0.776, and hazard ratio = 0.615, 95% confidence interval = 0.403-0.938, respectively). Combining the high-expressing MAP4K3, MAP4K4, and MAP4K5 with the low-expressing MAP4K1 in a joint effect analysis predicted a favorable prognosis of overall survival in acute myeloid leukemia. CONCLUSION: High expression of MAP4K3, MAP4K4, and MAP4K5 combined with low expression of MAP4K1 can serve as a sensitive tool to predict favorable overall survival in patients with acute myeloid leukemia.