Abstract: The use of Kukoamine A and Kukoamine B in the preparation of drugs for the prevention and treatment of sepsis and autoimmune disease is disclosed. Bacterial endotoxin/lipopolysaccaride (LPS) and unmethylated DNA (CpG DNA) of bacteria, the major pathogen-associated molecular patterns in sepsis and autoimmune disease, are specifically targeted, while the disclosed use directionally isolates lead compounds from traditional Chinese medicine. These measures can overcome the major defects of uncertainty of pharmacological material basis and drug targets of extracts and constituents of traditional Chinese medicine. The disclosed use can help in developing a safe, effective and quality controllable drug for prevention and treatment of sepsis and autoimmune disease so as to help solve the present lack of effective drugs in clinical treatment.

Abstract: The use of Kukoamine A and Kukoamine B in the preparation of drugs for the prevention and treatment of sepsis and autoimmune disease is disclosed. Bacterial endotoxin/lipopolysaccaride (LPS) and unmethylated DNA (CpG DNA) of bacteria, the major pathogen-associated molecular patterns in sepsis and autoimmune disease, are specifically targeted, while the disclosed use and directionally isolates lead compounds from traditional Chinese medicine. These measures can overcome the major defects of uncertainty of pharmacological material basis and drug targets of extracts and constituents of traditional Chinese medicine. The disclosed use can help in developing a safe, effective and quality controllable drug for prevention and treatment of sepsis and autoimmune disease so as to help solve the present lack of effective drugs in clinical treatment.

Abstract: Salts of kukoamine B, their preparation method and their pharmaceutical use in preparation of drugs for preventing and treating sepsis. Experiments indicate that salts of kukoamine B have a good effect on antagonizing the key factors inducing sepsis, and can be used in the preparation of drugs for preventing and treating sepsis. Under the current circumstances of the lack of effective measures for the treatment of sepsis in clinical practice, the medicinal formulations, which comprise the salts of kukoamine B, pharmaceutically acceptable carrier and/or diluent, provide a new approach for the prevention and treatment of sepsis.

Abstract: Salts of kukoamine B, their preparation method and their pharmaceutical use in preparation of drugs for preventing and treating sepsis. Experiments indicate that salts of kukoamine B have a good effect on antagonizing the key factors inducing sepsis, and can be used in the preparation of drugs for preventing and treating sepsis. Under the current circumstances of the lack of effective measures for the treatment of sepsis in clinical practice, the medicinal formulations, which comprise the salts of kukoamine B, pharmaceutically acceptable carrier and/or diluent, provide a new approach for the prevention and treatment of sepsis.

Abstract: The use of Kukoamine A and Kukoamine B in the preparation of drugs for the prevention and treatment of sepsis and autoimmune disease is disclosed. Bacterial endotoxin/lipopolysaccaride (LPS) and unmethylated DNA (CpG DNA) of bacteria, the major pathogen-associated molecular patterns in sepsis and autoimmune disease, are specifically targeted, while the disclosed use directionally isolates lead compounds from traditional Chinese medicine. These measures can overcome the major defects of uncertainty of pharmacological material basis and drug targets of extracts and constituents of traditional Chinese medicine. The disclosed use can help in developing a safe, effective and quality controllable drug for prevention and treatment of sepsis and autoimmune disease so as to help solve the present lack of effective drugs in clinical treatment.

Abstract: A multiple output relaxation (MOR) machine learning model. In one example embodiment, a method for employing an MOR machine learning model to predict multiple interdependent output components of a multiple output dependency (MOD) output decision may include training a classifier for each of multiple interdependent output components of an MOD output decision to predict the component based on an input and based on all of the other components. The method may also include initializing each possible value for each of the components to a predetermined output value. The method may further include running relaxation iterations on each of the classifiers to update the output value of each possible value for each of the components until a relaxation state reaches an equilibrium or a maximum number of relaxation iterations is reached. The method may also include retrieving an optimal component from each of the classifiers.