IL-10 predicts the prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure combined with spontaneous bacterial peritonitis

BackgroundSpontaneous bacterial peritonitis (SBP) is common in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF). The prognostic value of interleukin-related serum markers for patients with ACLF is coming to the fore. However, there is an unmet need to predict the survival of such patients. We aimed to analyze the independent predictors of 28- and 90-day mortality in HBV-ACLF patients with SBP.MethodsThis was a retrospective study that included 368 patients with HBV-ACLF. In the SBP group, logistic regression analysis was used to understand the independent predictors of mortality at 28-day and 90-day. The accuracy of prediction was analyzed using the area under the receiver operating characteristic curve (AUROC). Finally, decision curve analysis (DCA) was used to determine the clinical utility value.ResultsInterleukin 10 (IL-10) levels were statistically significantly different between the HBV-ACLF group with SBP and without. Aspartate aminotransferase (AST), serum sodium, IL-10 and vasoactive drug treatment were independent risk factors for 28-day mortality. International normalized ratio (INR), AST and IL-10 were independent risk factors for 90-day mortality. IL-10 combined with the Chinese Severe Hepatitis B Study Group-ACLF II score (COSH-ACLF IIs) had excellent performance in predicting 28- and 90-day mortality (AUCs: 0.848 and 0.823, respectively). DCA analysis suggests promising clinical utility.ConclusionIL-10 is an independent predictor of mortality at 28- and 90-day in HBV-ACLF patients with SBP and predictive performance is improved when combined with COSH-ACLF IIs

Purification, Characterization, and Hydrolysate Analysis of Dextranase From Arthrobacter oxydans G6-4B

Dextran has aroused increasingly more attention as the primary pollutant in sucrose production and storage. Although enzymatic hydrolysis is more efficient and environmentally friendly than physical methods, the utilization of dextranase in the sugar industry is restricted by the mismatch of reaction conditions and heterogeneity of hydrolysis products. In this research, a dextranase from Arthrobacter oxydans G6-4B was purified and characterized. Through anion exchange chromatography, dextranase was successfully purified up to 32.25-fold with a specific activity of 288.62 U/mg protein and a Mw of 71.12 kDa. The optimum reaction conditions were 55°C and pH 7.5, and it remained relatively stable in the range of pH 7.0–9.0 and below 60°C, while significantly inhibited by metal ions, such as Ni+, Cu2+, Zn2+, Fe3+, and Co2+. Noteworthily, a distinction of previous studies was that the hydrolysates of dextran were basically isomalto-triose (more than 73%) without glucose, and the type of hydrolysates tended to be relatively stable in 30 min; dextranase activity showed a great influence on hydrolysate. In conclusion, given the superior thermal stability and simplicity of hydrolysates, the dextranase in this study presented great potential in the sugar industry to remove dextran and obtain isomalto-triose

Quantifying Fluid Mixing with The Shannon Entropy

We introduce a methodology to quantify the quality of mixing in various systems, including polymeric ones, by adapting the Shannon information entropy. For illustrative purposes we use particle advection of two species in a two-dimensional cavity flow. We compute the entropy by using the probability of finding a suitable chosen group/complex of particles of a given species, at a given location. By choosing the size of the group to be in direct proportion to the overall concentration of the components in the mixture we ensure that the entropic measure is maximized for the case of perfect mixing, that is, when at each location the component concentration is equal to the corresponding overall component concentrations. The scale of observation role in evaluating mixing is analyzed using the entropic methodology. We also illustrate the effect of initial conditions on mixing in a laminar system, typical in operations involving polymers

Inhibition of IRAK 1/4 alleviates colitis by inhibiting TLR4/ NF-κB pathway and protecting the intestinal barrier

Interleukin-1 receptor-associated kinase 1/4 (IRAK1/4) is the main kinase of the Toll-like receptor (TLR)-mediated pathway, considered a new target for treating inflammatory diseases. Studies showed a significant correlation between TLRs and inflammatory responses in ulcerative colitis (UC). Therefore, in this study, after inducing experimental colitis in mice with 3% dextran sulfate sodium (DSS), different concentrations of IRAK1/4 inhibitors were administered intraperitoneally. Then, the disease activity index was assessed, including the degree of pathological damage, by HE staining. Subsequently, while western blotting detected the TLR4/NF-κB pathway and intestinal barrier protein expression (Zonula-1, Occludin, Claudin-1, JAM-A), real-time polymerase chain reaction (RT-PCR) detected the mRNA expression levels of IRAK1/4 and mucin1/2. Furthermore, the expression levels of Zonula-1 and occludin were detected by immunofluorescence, including the plasma FITC-dextran 4000 concentration, to evaluate intestinal barrier permeability. However, ELISA measured the expression of inflammatory factors to reflect intestinal inflammation in mice. Investigations showed that the IRAK 1/4 inhibitor significantly reduced clinical symptoms and pathological DSS-induced colitis damage in mice and then inhibited the cytoplasmic and nuclear translocation of NF-κB p65, including the phosphorylation of IκBα and reduction in downstream inflammatory factor production. Therefore, we established that the IRAK1/4 inhibitor effectively improves colitis induced by DSS, partly by inhibiting the TLR4/NF-κB pathway, reducing inflammation, and maintaining the integrity of the colonic barrier

Insight on the fundamentals of advanced oxidation processes. Role and review of the determination methods of reactive oxygen species

Advanced oxidation processes (AOPs) have known increased application to treat wastewaters containing recalcitrant compounds that are hardly degraded by conventional technologies. AOPs are characterized by the formation of strong oxidants such as hydroxyl radicals, superoxide anions, hydroperoxyl radicals and singlet oxygen, which react with the contaminant, contributing to its degradation. This paper provides an overview of the determination methods of reactive oxygen species, ROS, in the application of AOPs; the methods developed in the available literature for the detection and quantification of ROS are reviewed as a first step in the assessment and detailed description of the mechanisms involved in the oxidation reactions, focusing on the critical analysis of the main strengths and weaknesses presented by the probe molecules employed in the evaluated studies.This research was supported by the Ministry of Economy and Competitiveness (MINECO/SPAIN) and European Regional Development Fund (ERDF) under the project CTQ2011-25262

Identification of a metabolic-related gene signature predicting the overall survival for patients with stomach adenocarcinoma

Background The reprogramming of energy metabolism and consistently altered metabolic genes are new features of cancer, and their prognostic roles remain to be further studied in stomach adenocarcinoma (STAD). Methods Messenger RNA (mRNA) expression profiles and clinicopathological data were downloaded from The Cancer Genome Atlas (TCGA) and the GSE84437 databases from the Gene Expression Omnibus (GEO) database. A univariate Cox regression analysis and the least absolute shrinkage and selection operator (LASSO) Cox regression model established a novel metabolic signature based on TCGA. The area under the receiver operating characteristic (ROC) curve (AUROC) and a nomogram were calculated to assess the predictive accuracy. Results A novel metabolic-related signature (including acylphosphatase 1, RNA polymerase I subunit A, retinol dehydrogenase 12, 5-oxoprolinase, ATP-hydrolyzing, malic enzyme 1, nicotinamide N-methyltransferase, gamma-glutamyl transferase 5, deoxycytidine kinase, galactosidase alpha, DNA polymerase delta 3, glutathione S-transferase alpha 2, N-acyl sphingosine amidohydrolase 1, and N-acyl sphingosine amidohydrolase 1) was identified. In both TCGA and GSE84437, patients in the high-risk group showed significantly poorersurvival than the patients in the low-risk group. A good predictive value was shown by the AUROC and nomogram. Furthermore, gene set enrichment analyses (GSEAs) revealed several significantly enriched pathways, which may help in explaining the underlying mechanisms. Conclusions A novel robust metabolic-related signature for STAD prognosis prediction was conducted. The signature may reflect the dysregulated metabolic microenvironment and can provided potential biomarkers for metabolic therapy in STAD

Interleukin-8 predicts short-term mortality in acute-on-chronic liver failure patients with hepatitis B-related-related cirrhosis background

AbstractBackground Acute-on-chronic liver failure (ACLF) is a distinctive and severe syndrome, marked by an excessive systemic inflammatory response. In vivo, interleukin 8 (IL-8) is an essential pro-inflammatory cytokine. We aimed to investigate the value of serum IL-8 levels in predicting mortality in ACLF patients in the background of hepatitis B virus-related cirrhosis.Methods In this study, we conducted a retrospective analysis of the clinical baseline characteristics of 276 patients with ACLF in the context of HBV-related cirrhosis. Logistic regression analysis was employed to identify independent risk factors for short-, intermediate-, and long-term mortality. Using these independent risk factors, we developed a nomogram model, which was subsequently validated. To assess the clinical usefulness of the nomogram model, we performed decision curve analysis (DCA).Results Out of the 276 patients with ACLF, 98 (35.5%), 113 (40.9%), and 128 (46.4%) died within 28, 90, and 180 days, respectively. Serum IL-8 levels were only an independent predictor of 28-day mortality and could simply classify ACLF patients. Conversely, mean arterial pressure (MAP), HBV-DNA, and COSHACLF IIs were independent predictors of mortality across all three observation periods. We constructed a nomogram based on IL-8 that was able to visualise and predict 28-day mortality with a C-index of 0.901 (95% CI: 0.862–0.940). Our calibration curves, Predicted Probability of Death & Actual Survival Status plot, and Confusion Matrix demonstrated the nomogram model’s strong predictive power. DCA indicated the nomogram’s promising clinical utility in predicting 28-day mortality in ACLF patients.Conclusion Serum IL-8 levels predict short-term mortality in ACLF patients in the background of HBV-associated cirrhosis, and the developed Nomogram model has strong predictive power and good clinical utility

LncRNA MIR100HG affects the proliferation and metastasis of lung cancer cells through mediating the microRNA‐5590‐3p/DCBLD2 axis

Abstract Objective The aim of this paper is to investigate the effect of long noncoding RNA (lncRNA) MIR100HG on the proliferation and metastasis of lung cancer cells by mediating the microRNA (miR)−5590‐3p/DCBLD2 axis. Methods RNA levels of MIR100HG, miR‐5590‐3p, and DCBLD2 in lung cancer tissues and cells were detected by quantitative reverse‐transcription polymerase chain reaction, and protein level was assessed by Western blot. Effects of MIR100HG or miR‐5590‐3p on proliferation, migration, and invasion of lung cancer cells were detected by Cell Counting Kit‐8, colony formation, and Transwell assays. Luciferase reporter assay and RNA‐immunoprecipitation assay confirmed the target relationship between miR‐5590‐3p and MIR100HG or DCBLD2. Results MIR100HG and DCBLD2 were highly expressed, while miR‐5590‐3p was lowly expressed in lung cancer tissues and cells. Silencing MIR100HG or upregulating miR‐5590‐3p impeded lung cancer cell proliferation, migration, and invasion. MIR100HG could up‐regulate DCBLD2 by sponging miR‐5590‐3p. Downregulation of miR‐5590‐3p partly overturned the suppressive effect of silencing MIR100HG on lung cancer cell proliferation and metastasis, and overexpression of DCBLD2 also reversed the effect of overexpression of miR‐5590‐3p on lung cancer cell proliferation and metastasis. Conclusion LncRNA MIR100HG promotes lung cancer progression by targeting and negatively regulating DCBLD2 through binding with miR‐5590‐3p

Presentation_1_IL-10 predicts the prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure combined with spontaneous bacterial peritonitis.ZIP

BackgroundSpontaneous bacterial peritonitis (SBP) is common in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF). The prognostic value of interleukin-related serum markers for patients with ACLF is coming to the fore. However, there is an unmet need to predict the survival of such patients. We aimed to analyze the independent predictors of 28- and 90-day mortality in HBV-ACLF patients with SBP.MethodsThis was a retrospective study that included 368 patients with HBV-ACLF. In the SBP group, logistic regression analysis was used to understand the independent predictors of mortality at 28-day and 90-day. The accuracy of prediction was analyzed using the area under the receiver operating characteristic curve (AUROC). Finally, decision curve analysis (DCA) was used to determine the clinical utility value.ResultsInterleukin 10 (IL-10) levels were statistically significantly different between the HBV-ACLF group with SBP and without. Aspartate aminotransferase (AST), serum sodium, IL-10 and vasoactive drug treatment were independent risk factors for 28-day mortality. International normalized ratio (INR), AST and IL-10 were independent risk factors for 90-day mortality. IL-10 combined with the Chinese Severe Hepatitis B Study Group-ACLF II score (COSH-ACLF IIs) had excellent performance in predicting 28- and 90-day mortality (AUCs: 0.848 and 0.823, respectively). DCA analysis suggests promising clinical utility.ConclusionIL-10 is an independent predictor of mortality at 28- and 90-day in HBV-ACLF patients with SBP and predictive performance is improved when combined with COSH-ACLF IIs.</p