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79 results about "Hepatic toxicity" patented technology

Hepatoxic substance sieving and evaluating method based on fluorescence labeling

The invention provides a hepatoxic substance sieving and evaluating method based on cell states labeled by fluorescence, which is a sieving and evaluating method combining a hardware / software system. The images are acquired by a fluorescence inverted microscope and a computer in real time, the biological information is processed and visualized, the liner dynamic range width of the living cell is measured by combining FDA dyeing, and then the relevant parameters for evaluating the hepatoxic substances are provided. The method is quick, sensitive and economical, and is used for quickly detecting the influence of the sieved sample on cell quantity, forms, migration, apoptasis and the like under the condition of maintaining cell structure and function integrity, accurately carrying out quantitative analysis on the activity of the cell labeled by the fluorescence specialty and detecting the activity change of the cell under the function of the hepatoxic substances. The method has reasonable design. The provided sieving and evaluating system has complete structure, and can be used for sieving and evaluating the hepatoxic substances.
Owner:ZHEJIANG UNIV

Culturing method for improving in-vitro differentiation phenotype and function of hepatic cells

The invention discloses a culturing method for improving the in-vitro differentiation phenotype and function of hepatic cells. The culturing method is characterized by comprising the following steps that the hepatic cells are adopted as seed cells, a porous silk protein scaffold is taken as an in-vitro culturing carrier of the hepatic cells, the hepatic cells, hepatogenic interstitial cells and an extracellular matrix are inoculated to the porous silk protein scaffold according to a certain proportion, and the porous silk protein scaffold is put in a simulated hepatic cell in-vitro culturing environment to be cultured. A three-dimensional hepatic cell co-culturing system built through the method not only can be applied to tissue-engineered hepatic cell function units, but also can be applied to in-vitro evaluation of an influence of drugs on a hepatic metabolism enzyme and hepatic toxicity detection, and therefore a novel screening and evaluating tool is supplied to new drug research and development.
Owner:DALIAN MEDICAL UNIVERSITY

Anti-tumor agent

The present application provides a method for the treatment of tumors where the lethal dose of (Z)—N-[2-methoxy-5-[2-(3,4,5-trimethoxyphenyl)vinyl]phenyl]-L-serinamide is increased to twice or more, the toxicity at the pharmaceutically effective dosage of (Z)—N-[2-methoxy-5-[2-(3,4,5-trimethoxyphenyl)vinyl]phenyl]-L-serinamide is reduced, gastrointestinal toxicity at the pharmaceutically effective dosage of (Z)—N-[2-methoxy-5-[2-(3,4,5-trimethoxyphenyl)vinyl]phenyl]-L-serinamide is reduced, hepatic toxicity at the pharmaceutically effective dosage of (Z)—N-[2-methoxy-5-[2-(3,4,5-trimethoxyphenyl)vinyl]phenyl]-L-serinamide is reduced, and / or cardiovascular toxicity at the pharmaceutically effective dosage of (Z)—N-[2-methoxy-5-[2-(3,4,5-trimethoxyphenyl)vinyl]phenyl]-L-serinamide is reduced, by administering to a subject in need thereof a composition containing:(a) an effective amount of an anti-inflammatory active substance, wherein the anti-inflammatory active substance is a Dexamethasone selected from the group consisting Dexamethasone, an ester of Dexamethasone, and a salt of Dexamethasone; and(b) (Z)—N-[2-methoxy-5-[2-(3,4,5-trimethoxyphenyl)vinyl]phenyl]-L-serinamide or a salt thereof.
Owner:AJINOMOTO CO INC

Method for predicting hepatotoxicity caused by drug interaction based on graph neural network model

The invention discloses a method for predicting hepatotoxicity caused by drug interaction based on a graph neural network model, which comprises the following steps: establishing a deep learning model for predicting hepatotoxicity caused by drug interaction based on a graph neural network, and predicting hepatotoxicity caused by drug interaction based on the deep learning model, the method comprises the following steps: encoding two drug molecules by using a drug molecule encoder constructed based on a graph neural network, predicting a hepatotoxicity score caused by interaction of the two drugs through a full-connection neural network, and judging whether the combination of the two drugs can cause hepatotoxicity according to the predicted hepatotoxicity score. The method not only reduces the fund and time investment of drug combination preclinical toxicity research and development to a certain extent, but also can accurately predict the drug interaction hepatotoxicity during drug combination, and avoids the injury to the liver of a patient due to combination of a plurality of drugs. Unnecessary medicine combination clinical experiments during development of a new treatment scheme are reduced, and the success rate of the clinical experiments is increased.
Owner:PRECISION SCI BIOMEDICINE (SUZHOU) CO LTD +2

Method for reducing hepatotoxicity of fructus psoraleae

The invention discloses a method for reducing hepatotoxicity of fructus psoraleae. The method comprises the following steps that the fructus psoraleae is pre-treated, the fructus psoraleae is sequentially soaked with an ethanol water solution and rinsed with water, and then the fructus psoraleae rinsed with water is steamed and dried. The fructus psoraleae prepared by the method can effectively reduce the hepatotoxicity of the fructus psoraleae and does not affect the efficacy of the fructus psoraleae.
Owner:北京圆融科技有限公司
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