Detection of miR-122 by fluorescence real-time PCR in blood from patients with chronic hepatitis B and C infections.

BACKGROUND: This study aims to determine whether relative miR-122 levels in peripheral blood are correlated with chronic hepatitis B (CHB) and chronic hepatitis C (CHC) virus infection and viral replication to determine whether miR-122 can be a new marker for liver injury. METHODS: MicroRNA (miRNA) was extracted from the peripheral blood of 20 CHB patients, 20 CHC patients, and 20 healthy controls. The levels of miR-122 were determined using fluorescence real-time reverse transcription PCR. Then, the associations of miR-122 with CHB and CHC were analyzed, and its correlation with other markers of liver function and viral replication were determined. RESULTS: The expression level of miR-122 in patients with CHB was significantly higher when compared to subjects in the control group (P = 0.007) or CHC patients (P = 0.005). Furthermore, the miR-122 level in patients with CHC was somewhat higher when compared to healthy controls (66% higher), but the difference was not statistically significant (P = 0.229). MiR-122 levels were significantly correlated with ALT (correlation coefficient [R] = 0.7, P < 0.001), AST (R = 0.71, P < 0.001), and HBV NA (R = 0.9, P < 0.001). The regression analysis indicated that the AUC of miR-122 levels in the diagnosis of CHB was 0.87, with a sensitivity of 0.8 and a specificity of 0.8. CONCLUSION: MiR-122 can be used to distinguish healthy persons and patients with CHB infection with high sensitivity and specificity. These present findings presented that the complex and context-specific associations of miR-122 with liver diseases, suggesting that this may be a promising marker for liver injury.

[Vasodilation effect and mechanism of extraction of Tongmai Yangxin Pills (TMYX) on isolated rat mesenteric artery].

The aim of the present study is to evaluate the vasodilation effects of Tongmai Yangxin Pills (TMYX) on rat mesenteric artery as well as its mechanism of action. The relaxation effects of TMYX extracts with different concentrations were determined on isolated rat mesenteric artery in normal condition as well as pretreating by phenylephrine and KCl. Vascular relaxation effects of TMTX were also determined in mesenteric artery preincubated with L-ANME and indomethacin or in endothelium denuded mesenteric artery. Moreover, effects of TMYX by 50 mg·L⁻¹ on NO secretion and the phosphorylation of eNOS in a cellular model of human umbilical vein endothelial cell (HUVEC) pretreated with or without L-NAME were also observed. The experimental results showed that TMYX has no obvious effect on vasodilation of arteries in normal or KCl pretreated condition, while it can dose-dependently relax the rat mesenteric artery with intact endothelium stimulated with phenylephrine at a maximal diastolic rate of (64.71±10.03)%. After preincubating with L-NAME for 15 min or removal of mesenteric artery endothelium, the maximal diastolic rate was decreased to (35.77±8.93)% and (25.85±10.84)% respectively. However, preincubating with indomethacin had no inhibitory effect on TMYX induced vascular relaxation. Meanwhile, TMYX at 50 mg·L⁻¹ could increase the expression of P-eNOS and the secretion of NO in HUVEC. L-NAME significantly inhibited NO release and phosphorylation of eNOS induced by TMYX. The results suggested TMYX exerted endothelium-dependent relaxation effects against PE-induced contractions of isolated rat mesenteric artery through NO-cGMP signaling pathway.

Feature Sequencing Method of Industrial Control Data Set Based on Multidimensional Evaluation Parameters.

The industrial control data set has many features and large redundancy, which has a certain impact on the training speed and classification results of the neural network anomaly detection algorithm. However, features are independent of each other, and dimension reduction often increases the false positive rate and false negative rate. The feature sequencing algorithm can reduce this effect. In order to select the appropriate feature sequencing algorithm for different data sets, this paper proposes an adaptive feature sequencing method based on data set evaluation index parameters. Firstly, the evaluation index system is constructed by the basic information of the data set, the mathematical characteristics of the data set, and the association degree of the data set. Then, the selection model is obtained by the decision tree training with the data label and the evaluation index, and the suitable feature sequencing algorithm is selected. Experiments were conducted on 11 data sets, including Batadal data set, CICIDS 2017, and Mississippi data set. The sequenced data sets are classified by ResNet. The accuracy of the sequenced data sets increases by 2.568% on average in 30 generations, and the average time reduction per epoch is 24.143%. Experiments show that this method can effectively select the feature sequencing algorithm with the best comprehensive performance.

USP4 positively regulates RLR-induced NF-κB activation by targeting TRAF6 for K48-linked deubiquitination and inhibits enterovirus 71 replication.

Retinoic acid-inducible gene I-like receptor (RLR) is one of the most important pattern recognition receptors of the innate immune system that detects positive and/or negative stranded RNA viruses. Subsequently, it stimulates downstream transcription of interferon regulatory factor 3 (IRF3) and nuclear factor κB (NF-κB) inducing the production of interferons (IFNs) and inflammatory cytokines. Tumour necrosis factor receptor associated factor 6 (TRAF6) is a key protein involved in the RLR-mediated antiviral signalling pathway, recruiting additional proteins to form a multiprotein complex capable of activating the NF-κB inflammatory pathway. Despite TRAF6 playing an important role in regulating host immunity and viral infection, the deubiquitination of TRAF6 induced by viral infection remains elusive. In this study, we found that enterovirus 71 (EV71) infection attenuated the expression of Ubiquitin-specific protease 4 (USP4) in vitro and in vivo, while overexpression of USP4 significantly suppressed EV71 replication. Furthermore, it was found that EV71 infection reduced the RLR signalling pathway and enhanced the degradation of TRAF6. USP4 was also found to interact with TRAF6 and positively regulate the RLR-induced NF-κB signalling pathway, inhibiting the replication of EV71. Therefore, as a novel positive regulator of TRAF6, USP4 plays an essential role in EV71 infection by deubiquitinating K48-linked ubiquitin chains.