Improving hepatocellular carcinoma diagnosis using an ensemble classification approach based on Harris Hawks Optimization.

Hepato-Cellular Carcinoma (HCC) is the most common type of liver cancer that often occurs in people with chronic liver diseases such as cirrhosis. Although HCC is known as a fatal disease, early detection can lead to successful treatment and improve survival chances. In recent years, the development of computer recognition systems using machine learning approaches has been emphasized by researchers. The effective performance of these approaches for the diagnosis of HCC has been proven in a wide range of applications. With this motivation, this paper proposes a hybrid machine learning approach including effective feature selection and ensemble classification for HCC detection, which is developed based on the Harris Hawks Optimization (HHO) algorithm. The proposed ensemble classifier is based on the bagging technique and is configured based on the decision tree method. Meanwhile, HHO as an emerging meta-heuristic algorithm can select a subset of the most suitable features related to HCC for classification. In addition, the proposed method is equipped with several strategies for handling missing values and data normalization. The simulations are based on the HCC dataset collected by the Coimbra Hospital and University Center (CHUC). The results of the experiments prove the acceptable performance of the proposed method. Specifically, the proposed method with an accuracy of 97.13 % is superior in comparison with the equivalent methods such as LASSO and DTPSO.

Pharmacokinetics, tissue distribution, plasma protein binding rate and excretion of sinoacutine following intravenous administration in female and male Sprague-Dawley rats.

Sinoacutine is a natural isoquinoline alkaloid isolated from traditional Chinese medicine Stephanina yunnanensis H. S. Lo. Our aim was to study the pharmacokinetic characteristics of sinoacutine, which is essential during the development of new drugs.In this study, an accurate, sensitive, and efficient liquid chromatography (HPLC) method was developed and applied to evaluate the pharmacokinetics, tissue distribution, plasma protein binding rate, and excretion after intravenous injection of sinoacutine in rats.The pharmacokinetic parameters of sinoacutine were accorded with a two-compartment model in rats, and the AUC0-t in female was greater than that in male. Sinoacutine could be detected in heart, liver, spleen, lung, kidney, and brain, and the content in liver and kidney was relatively high. Meanwhile, it had a high plasma protein binding rate of 79.16%. Excretion of sinoacutine through faeces and urine was low, and the average excretion rate was 9.96%. There were gender differences in blood drug concentration, tissue distribution, and excretion significantly (p < 0.05).In summary, this study lays a foundation for elucidating the pharmacokinetic rule of sinoacutine and the data can provide a reliable scientific resource for further research.

Sinoacutine inhibits inflammatory responses to attenuates acute lung injury by regulating NF-κB and JNK signaling pathways.

BACKGROUND: Stephania yunnanensis H. S. Lo is widely used as an antipyretic, analgesic and anti-inflammatory herbal medicine in SouthWest China. In this study, we investigated the anti-inflammatory activity and mechanism of sinoacutine (sino), one of the primary components extracted from this plant. METHODS: A RAW264.7 cell model was established using lipopolysaccharide (LPS) induced for estimation of cytokines in vitro, qPCR was used to estimate gene expression, western blot analysis was used to estimate protein level and investigate the regulation of NF- κB, JNK and MAPK signal pathway. In addition, an acute lung injury model was established to determine lung index and levels of influencing factors. RESULTS: Using the RAW264.7 model, we found that sino reduced levels of nitric oxide (NO), tumour necrosis factor-α (TNF-α), interleukin (IL)-1ß and prostaglandin E2 (PGE2) but increased levels of IL-6. qPCR analysis revealed that sino (50, 25 µg/ml) inhibited gene expression of nitric oxide synthase (iNOS). western blot analysis showed that sino significantly inhibited protein levels of both iNOS and COX-2. Further signalling pathway analysis validated that sino also inhibited phosphorylation of p65 in the NF-κB and c-Jun NH2 terminal kinase (JNK) signalling pathways but promoted the phosphorylation of extracellular signal regulated kinase (ERK) and p38 in the MAPK signalling pathway. In addition, in a mouse model induced by LPS, we determined that sino reduced the lung index and the levels of myeloperoxidase (MPO), NO, IL-6 and TNF-α in lung tissues and bronchoalveolar lavage fluid (BALF) in acute lung injury (ALI). CONCLUSION: Taken together, our results demonstrate that sino is a promising drug to alleviate LPS-induced inflammatory reactions.

[Preparation of Cangai oil transfersomes patches and its in vitro evaluation].

L_9(3~4) orthogonal experiment design was used to optimize the preparation of the patches,and investigate its affecting factors and skin irritation. Eugenol was taken as the index component to study the release behavior in vitro and percutaneous penetration of Cangai oil transfersomes patches by HPLC.The results showed that the optimal prescription for preparing Cangai oil transfersomes patches were Eudragit E100 0.6 g, succinic acid 0.08 g,triethyl citrate 0.25 g,glycerol 0.2 g.Patches prepared by the preferred preparation had a flat appearance without obvious bubbles.The initial adhesion was 18.33±2.52, the stickiness was(30.01±2.45) min,and the peel strength was(5.62±0.95) kN·m~(-1).The results of affecting factors experiment showed the order of factors affecting its adhesion was humidity>temperature>lighting,and the skin irritation test results showed no significant skin irritation after 24 h of single administration. The results of drug release behavior in vitro showed that the release and the percutaneous penetration of both Cangai oil patches and Cangai oil transfersomes patches conformed to the Higuchi equation.The release amount of eugenol were 80.66% and 82.25% at 72 h, with no significant difference. The cumulative permeation area of eugenol per unit area reached(0.195 6±0.065 9),(0.131 0±0.045 5) mg·cm~(-2) at 72 h, with significant differences(P<0.05).The experiment results proved that the preparation process of Cangai oil transfersomes patches was stable,and the prepared patches had a good adhesion. At the same time,the preparation of transfersomes patches could alleviate and control the release of the drug to a certain extent, and provide a certain experimental basis for clinical pediatric drug safety.