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Frontiers in Immunology 2023It is well known that patients with systemic lupus erythematosus (SLE) had a high risk of venous thromboembolism (VTE). This study aimed to identify the crosstalk genes...
BACKGROUND
It is well known that patients with systemic lupus erythematosus (SLE) had a high risk of venous thromboembolism (VTE). This study aimed to identify the crosstalk genes between SLE and VTE and explored their clinical value and molecular mechanism initially.
METHODS
We downloaded microarray datasets of SLE and VTE from the Gene Expression Omnibus (GEO) dataset. Differential expression analysis was applied to identify the crosstalk genes (CGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on the shared genes. The shared diagnostic biomarkers of the two diseases were further screened from CGs using least absolute shrinkage and selection operator (Lasso) regression. Two risk scores for SLE and VTE were constructed separately to predict the likelihood of illness according to the diagnostic biomarkers using a logical regression algorithm. The immune infiltration levels of SEL and VTE were estimated the CIBERSORT algorithm and the relationship of CGs with immune cell infiltration was investigated. Finally, we explored potential phenotype subgroups in SLE and VTE based on the expression level of CGs through the consensus clustering method and studied immune cell infiltration in different subtypes.
RESULT
A total of 171 CGs were obtained by the intersection of differentially expressed genes (DEGs) between SLE and VTE cohorts. The functional enrichment shown these CGs were mainly related to immune pathways. After screening by lasso regression, we found that three hub CGs (RSAD2, HSP90AB1, and FPR2) were the optimal shared diagnostic biomarkers for SLE and VTE. Based on the expression level of RSAD2 and HSP90AB1, two risk prediction models for SLE and VTE were built by multifactor logistic regression and systemically validated in internal and external validation datasets. The immune infiltration results revealed that CGs were highly correlated with multiple infiltrated immunocytes. Consensus clustering was used to respectively regroup SLE and VTE patients into C1 and C2 clusters based on the CGs expression profile. The levels of immune cell infiltration and immune activation were higher in C1 than in C2 subtypes.
CONCLUSION
In our study, we further screen out diagnostic biomarkers from crosstalk genes SLE and VTE and built two risk scores. Our findings reveal a close relationship between CGs and the immune microenvironment of diseases. This provides clues for further exploring the common mechanism and interaction between the two diseases.
Topics: Humans; Venous Thromboembolism; Algorithms; Computational Biology; Lupus Erythematosus, Systemic; Biomarkers
PubMed: 37465678
DOI: 10.3389/fimmu.2023.1196064 -
Clinical Gastroenterology and... Aug 2023Carvedilol induces stronger decreases in hepatic venous pressure gradient (HVPG) than conventional nonselective β-blockers (ie, propranolol). Limited data exist on the...
BACKGROUND & AIMS
Carvedilol induces stronger decreases in hepatic venous pressure gradient (HVPG) than conventional nonselective β-blockers (ie, propranolol). Limited data exist on the efficacy of carvedilol in secondary prophylaxis of variceal bleeding.
METHODS
Patients undergoing paired HVPG measurements for guiding secondary prophylaxis with either carvedilol or propranolol were included in this retrospective analysis. All patients also underwent band ligation. Changes in HVPG and systemic hemodynamics were compared between the 2 groups. Long-term follow-up data on rebleeding, acute kidney injury, nonbleeding decompensation, and liver-related death were analyzed applying competing risk regression.
RESULTS
Eighty-seven patients (carvedilol/propranolol, n = 45/42) were included in our study. The median baseline HVPG was 21 mm Hg (interquartile range, 18-24 mm Hg), and 39.1%/48.3%/12.6% had Child-Turcotte-Pugh A/B/C cirrhosis, respectively. Upon nonselective β-blocker initiation, HVPG decreased more strongly in carvedilol users (median relative decrease, -20% [interquartile range: -29% to -10%] vs -11% [-22% to -5%] for propranolol; P = .027), who also achieved chronic HVPG response more often (53.3% vs 28.6%; P = .034). Cumulative incidences for rebleeding (Gray test, P = .027) and liver-related death (P = .036) were significantly lower in patients taking carvedilol compared with propranolol. Notably, ascites development/worsening also was observed less commonly in carvedilol patients (P = .012). Meanwhile, acute kidney injury rates did not differ between the 2 groups (P = .255). Stratifying patients by HVPG response status yielded similar results. The prognostic value of carvedilol intake was confirmed in competing risk regression models.
CONCLUSIONS
Carvedilol induces more marked reductions in HVPG than propranolol in secondary prophylaxis of variceal bleeding, and thus is associated with lower rates of rebleeding, liver-related death, and further nonbleeding decompensation.
Topics: Humans; Propranolol; Carvedilol; Esophageal and Gastric Varices; Retrospective Studies; Gastrointestinal Hemorrhage; Adrenergic beta-Antagonists; Hemodynamics; Liver Cirrhosis; Varicose Veins
PubMed: 35842118
DOI: 10.1016/j.cgh.2022.06.007