Network pharmacology analysis of Icariside II against bladder cancer.

As a global health threat, bladder cancer (BC) is a common urological disease characterized by a high risk of progression and recurrence. Icariside II (ICA-II), a flavonol glycoside, exhibits antitumor ability in various tumors. However, there is no systematic study exploring the pharmacological mechanism of ICA-II in BC. We used public databases to obtain potential targets of ICA-II and related genes in BC. Bioinformatics analysis and molecular docking were used to identify potential targets and signaling pathways. Then, MTT, cell cycle assays and western blot (WB) were used to validate the predicted pathways in bladder cell lines, and in situ bladder cancer models were also established to verify the effect of ICA-II. Our research demonstrated that these ICA-II hub genes were related to the cell cycle. Then, our molecular docking analysis confirmed the interaction between ICA-II and CCNB1. In addition, our in vitro experiment demonstrated that ICA-II restrained the proliferation of BC cells mainly by blocking the cell cycle. WB also verified that ICA-II decreased the expression levels of CCNB1. In situ BC models showed that ICA-II had no hepatotoxicity or nephrotoxicity and could suppress the growth of in situ BC. In summary, during this study, we found that ICA-II had low toxicity in the kidney and liver. Network pharmacology was used, and both cell and animal experiments verified that ICA-II has a good therapeutic effect on bladder cancer, which may inhibit the proliferation and progression of bladder cancer by blocking the cell cycle of BC cells.

An outbreak of Amanita exitialis poisoning.

BACKGROUND: The mushroom Amanita exitialis is reported to cause acute liver injury. It is found in Southern China, and has been previously associated with a high incidence of mortality. METHODS: We described a series of 10 patients with Amanita exitialis poisoning admitted to The Second Affiliated Hospital of the Chinese University of Hong Kong (Shenzhen) in April 2022. Patient demographics, clinical features, laboratory results, therapeutic interventions, and outcome data were collected. RESULTS: Among the 10 patients, 9 survived, while 1 died. Gastrointestinal symptoms were the first to appear (average latency period, 11 ± 4.2 h). Diarrhea was the most common clinical symptom (average duration, 4.4 days). Abdominal distention was an important sign, especially in severely-ill patients. Thrombocytopenia occurred on day 2 after mushroom ingestion and persisted for 3-4 days. Alanine aminotransferase and total bilirubin peaked on days 2-3. CONCLUSION: Amanita exitialis poisoning is characterized by gastrointestinal symptoms and liver injury. In the patient who died, acute hepatic failure led to hepatic encephalopathy and cerebral edema. Abdominal distension accompanied by thrombocytopenia was common in critically ill patients in this outbreak.

A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems.

This paper presents a framework for estimating the remaining useful life (RUL) of mechanical systems. The framework consists of a multi-layer perceptron and an evolutionary algorithm for optimizing the data-related parameters. The framework makes use of a strided time window along with a piecewise linear model to estimate the RUL for each mechanical component. Tuning the data-related parameters in the optimization framework allows for the use of simple models, e.g. neural networks with few hidden layers and few neurons at each layer, which may be deployed in environments with limited resources such as embedded systems. The proposed method is evaluated on the publicly available C-MAPSS dataset. The accuracy of the proposed method is compared against other state-of-the art methods in the literature. The proposed method is shown to perform better than the compared methods while making use of a compact model.