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1.
China Journal of Chinese Materia Medica ; (24): 2697-2704, 2018.
Article in Chinese | WPRIM | ID: wpr-687397

ABSTRACT

With total flavonoid content and dry extract yield as the observation indexes, the optimal extraction conditions of Moringa oleifera leaves were determined by using single factor test and orthogonal test, and cyclophosphamide modeling method was used to establish immunosuppressed mice models, so as to investigate the effects of M. oleifera leaves extract on immune regulation in mice. The results showed that the optimal preparation conditions were as follows: extraction with 70% ethanol, material-liquid ratio 1:15, extraction temperature 80 °C, three times, 1.5 hours for each time. Under these conditions, the content of total flavonoids from M. oleifera leaves was 15.64 mg·g⁻¹, which can significantly enhance macrophage phagocytosis and immune organ index, promote the synthesis of serum immunoglobulin IgG and hemolysin, and decrease AST activity, with regulation effect on immune dysfunction.

2.
Genomics & Informatics ; : 21-34, 2014.
Article in English | WPRIM | ID: wpr-187161

ABSTRACT

A visual analysis approach and the developed supporting technology provide a comprehensive solution for analyzing large and complex integrated genomic and biomedical data. This paper presents a methodology that is implemented as an interactive visual analysis technology for extracting knowledge from complex genetic and clinical data and then visualizing it in a meaningful and interpretable way. By synergizing the domain knowledge into development and analysis processes, we have developed a comprehensive tool that supports a seamless patient-to-patient analysis, from an overview of the patient population in the similarity space to the detailed views of genes. The system consists of multiple components enabling the complete analysis process, including data mining, interactive visualization, analytical views, and gene comparison. We demonstrate our approach with medical scientists on a case study of childhood cancer patients on how they use the tool to confirm existing hypotheses and to discover new scientific insights.


Subject(s)
Humans , Data Display , Data Mining , Precursor Cell Lymphoblastic Leukemia-Lymphoma
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