1.PROLIFERATION INHIBITION AND APOPTOSIS INDUCTION ON HUMAN HEPATO-CARCINOMA HepG-2 CELLS BY UNDARIA PINNATIFIDA POLYSACCARIDES
Xiangyang ZOU ; Xue WANG ; Huaxin WANG ; Lianying GUO ; Rong XING ; Lin HOU
Acta Nutrimenta Sinica 2004;0(05):-
Objective: To investigate the inhibitory effect of Undaria pinnatifida polysaccharides (UPPS) on hepatocellular carcinoma HepG-2 cells and its possible mechanism. Method: The effect of inhibiting proliferation and inducting apoptosis of UPPS were determined by means of MTT and FCM. The expression of Bcl-2 and Bax proteins was immunohis to chemcally evaluated after treatment of UPPS. Results: UPPS inhibited HepG-2 cells growth in vitro , significantly higher than the negative control group (P
2.Arsenic trioxide inhibition of tumor growth of subcutaneously implanted human breast cancer cells and its mechanism
Zhibo QU ; Lianxin LIU ; Wei CHEN ; Huaxin GUO ; Haiyan YANG ; Shangha PAN
Chinese Journal of General Surgery 1993;0(01):-
Objective To study the inhibitory effect of arsenic trioxide(As_2O_3) on the tumor growth of breast cancer cell line MCF-7 implanted subcutaneously in nude mice and its mechanism.Methods BALB/C-nu/nu nude mice were subcutaneously injected with MCF-7 breast cancer cell line,and treated with intraperitoneal injection of As_2O_3 and 5-FU in different concentrations.The implanted tumor was weighed,and the tumor inhibition rates were calculated.The apoptosis of the implanted tumor was detected by flow cytometry.The expressions of bcl-2 and Fas induced by As_2O_3 were examined by immunohistochemical method.Routine blood test and bone marrow test were used to observe the function of hematopoietic system after As_2O_3 treatment.Results The growth of implanted tumor was markedly inhibited with 5-FU,low dose and high dose As_2O_3,the inhibitory rates being 38.33%、51.42% and 62.43%,respectively.The inhibitory effect of As_2O_3 was significantly stronger than that of 5-FU(P
3.Production of antimicrobial peptide (Oxysterlin 1) in Escherichia coli with ELP self-cleavage tag.
Li GUO ; Huaxin LIU ; Ying LIN
Chinese Journal of Biotechnology 2021;37(8):2915-2923
Antimicrobial peptides are the most promising alternatives to antibiotics. However, the strategy of producing antimicrobial peptides by recombinant technology is complicated and expensive, which is not conducive to the large-scale production. Oxysterlin 1 is a novel type of cecropin antimicrobial peptide mainly targeting on Gram-negative bacteria and is of low cytotoxicity. In this study, a simple and cost-effective method was developed to produce Oxysterlin 1 in Escherichia coli. The Oxysterlin 1 gene was cloned into a plasmid containing elastin-like polypeptide (ELP) and protein splicing elements (intein) to construct the recombinant expression plasmid (pET-ELP-I-Oxysterlin 1). The recombinant protein was mainly expressed in soluble form in E. coli, and then the target peptide can be purified with a simple salting out method followed by pH changing. The final yield of Oxysterlin 1 was about 1.2 mg/L, and the subsequent antimicrobial experiment showed the expected antimicrobial activity. This study holds promise for large-scale production of antimicrobial peptides and the in-depth study of its antimicrobial mechanism.
Elastin
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Escherichia coli/genetics*
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Inteins
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Peptides/pharmacology*
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Pore Forming Cytotoxic Proteins
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Recombinant Fusion Proteins/genetics*
4.Research Ideas and Challenge of Real World Study and Artificial Intelligence Based On Clinical Diagnosis and Treatment Data of Traditional Chinese Medicine
Guozhen ZHAO ; Shiqi GUO ; Huaxin PANG ; Ziheng GAO ; Bo LI ; Zhaolun CAI ; Shiyan YAN ; Dongran HAN ; Yixing LIU ; Jing HU ; Qingquan LIU
Journal of Traditional Chinese Medicine 2023;64(21):2170-2175
With the continuous progress of research methodology in the real world and the growing maturity of artificial intelligence technology, a method for conducting “quantitative” research to guide clinical practice based on traditional Chinese medicine (TCM) diagnosis and treatment data was gradually developed. However, there is still a need for further improvements in the overall design of studies and the transformation of findings into clinical practice. Based on this, we put forward a comprehensive overall design concept and application approach for real-world study and artificial intelligence research based on clinical diagnosis and treatment data of TCM. This approach consists of five steps: Constructing a research-based database with a large sample size and high data quality; Mining and classification of core prescriptions; Conducting cohort studies to evaluate the effectiveness of core prescriptions; Utilizing case-control studies to clarify the dominant population; Establishing predictive models to achieve precision medicine. Additionally, it is imperative for researchers to establish a standardized system for collecting TCM variables and processing data, optimize the determination and measurement methods of confounding factors, further improve and promote methodologies, and strengthen the training of interdisciplinary talents. By following this research method, we anticipate that the clinical translation of research findings will be facilitated, leading to advancements in TCM precision medicine. Real-world study and artificial intelligence research share similar research foundations, and clinical applications complement each other. In the future, the two will merge together.