Heart failure was predicted more than 6 months before clinical diagnosis, with AUC of about 0.76, using logistic regression and Boosting. These results were achieved even with strict model selection criteria. SVM had the poorest performance, possibly because of imbalanced data.
Background-The role of testosterone in the development of behaviors presaging cannabis use and subsequently cannabis use disorder was investigated in a prospective study of 208 boys. It was theorized that adverse neighborhood correlates with testosterone level that in turn potentiates behaviors predisposing to cannabis consumption and subsequently diagnosis of cannabis use disorder.
Emerging evidence shows that rheumatoid arthritis (RA) progression can be induced by the activation of Toll-like receptor (TLR) signaling pathway. Regulator of G-protein signaling 1 (RGS1) is observed to be a candidate biomarker for arthritis. Accordingly, the present study aims to determine the potential effects of RGS1 mediating TLR on RA. A rat model of collagen-induced arthritis (CIA) was established to mimic the features of RA by injection of bovine type II collagen. The rats with CIA were treated with short hairpin RNA (shRNA) against RGS1 or TLR pathway activator Poly I:C to elucidate the role of RGS1 in RA progression. The inflammatory factors were measured, and the thoracic gland and spleen indexes as well as the vascular density were determined. The expression levels of RGS1, TLR3, vascular endothelial growth factor (VEGF), metalloproteinase-2 (MMP-2), MMP-9, and interleukin 1 receptorassociated kinase-4 (IRAK4) were determined. RGS1 was robustly increased in RA.The TLR signaling pathway was suppressed by RGS1 silencing. shRNA-mediated depletion of RGS1 was shown to significantly enhance thoracic gland index and inhibit the serum levels of TNF-α, IL-1β, and IL-17, spleen index, vascular density, and the expression levels of TLR3, VEGF, MMP-2, MMP-9, and IRAK4. However, when the rats with CIA were treated with Poly I:C, the trend of effects was opposite. These findings highlight that functional suppression of RGS1 inhibits the inflammatory response and angiogenesis by inactivating the TLR signaling pathway in rats with CIA,
Accumulating evidence suggests long non-coding RNAs (lncRNAs) play crucial roles in the pathogenesis of rheumatoid arthritis (RA). Here, we aimed to define the role of HOXA transcript at the distal tip (HOTTIP) in RA pathogenesis in relation to SFRP1 methylation and Wnt signaling pathway. HOTTIP was found highly expressed, and SFRP1 was hypermethylated in RA synovial fibroblasts (RASFs). Next, gain-or lossof-function experiments were conducted in RASFs to explore the effects of HOTTIP on the biological behaviors of RASFs. Silencing of HOTTIP or overexpression of SFRP1 inhibited RASF proliferation, invasion, and migration, while enhancing apoptosis. The relationship among HOTTIP, SFRP1, and Dnmt3b was determined using methylation-specific PCR (MSP), bisulfite sequencing PCR (BSP), RNA pull-down, RNA immunoprecipitation (RIP), and chromatin immunoprecipitation (ChIP) assays. The regulatory mechanisms of HOTTIP/Dnmt3b/SFRP1 were explored by altering their expression in RASFs. It was noted that HOTTIP could induce SFRP1 promoter methylation through recruitment of Dnmt3b and activate the Wnt signaling pathway. Finally, a rat RA model was established in order to evaluate the in vivo effects of HOTTIP and SFRP1, which suggested that HOTTIP silencing or SFRP1 elevation inhibited the progression of RA in vivo. Our key findings demonstrate the anti-inflammatory ability of HOTTIP silencing in RA through SFRP1 promoter demethylation. These findings support HOTTIP as a candidate anti-arthritis target.
Background: This study aimed to identify the key genes related to male ankylosing spondylitis (AS) and to analyze the role of immune cell infiltration in the pathological process of this disease. Methods:The AS dataset was downloaded from the Gene Expression Omnibus (GEO) public database, and the data of male healthy controls (M_HC) and male AS patients (M_AS) were extracted. R software was used to identify differentially expressed genes (DEGs). Functional and pathway enrichment analysis of the DEGs was performed. A protein-protein interaction (PPI) network was constructed, and the hub genes were screened out. All expression profile data were analyzed by weighted correlation network analysis (WGCNA) to screen out the hub genes, which were then intersected with the hub genes from the PPI network to obtain the key genes. Finally, the difference in immune cell infiltration in the two sets of samples was evaluated with CIBERSORT, and the correlation between the key genes and infiltrating immune cells was analyzed.Results: A total of 689 DEGs were obtained, of which 395 genes were up-regulated and 294 genes were down-regulated. Functional and pathway enrichment analysis showed that DEGs were mainly enriched in pathways related to immune response. Based on the PPI analysis, five clusters with high scores were selected.Through WGCNA, 14 gene modules were obtained. The green module with the highest correlation was selected and intersected with the cluster previously obtained to obtain three key genes, RAB5C, SYNJ1, and RNF19B. Immune infiltration analysis found that monocytes and gamma delta T cells may be involved in the process of AS. Also, RAB5C, SYNJ1, and RNF19B are all related to increased levels of monocytes and macrophages.Conclusions: RAB5C, SYNJ1, and RNF19B are key DEGs expressed in M_AS and may play a role in the disease's occurrence and development through regulating immune cell functions.
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