As an important clinical mode, the disease-syndrome-efficacy integration is a development trend of traditional Chinese medicine (TCM) and western medicine combination. The mode combined comprehensive effica-cy evaluation based on disease-syndrome integration is able to highlight advantages of TCM clinical diagnosis and treatment. With the status of disease-syndrome and effects of Chinese herbal medicine treatments, the en-dogenous metabolites and metabolic network of body changed in the systemic level. According to the analysis of these metabolic changes by metabolomic technologies, it is helpful to investigate the essence of disease-syndrome and explain the mechanism of Chinese herbal medicine actions. This review summarized the current applications of metabolomics in the area of disease-syndrome-efficacy integration research . Metabolomics applied in the disease-syndrome-efficacy integration research is helpful to facilitate the development of TCM and western medicine combination .

Objective To study on the CDKN2/P16 gene in primary osteosarcoma.Method By using molecular biological methods that inclued genome DNA extraction from paraffined tissue and PCR SSCP analysis technique, we studied alternations of CDKN2/P16 gene in 25 primary osteosarcomas.Results (1)The deletions frequency in differentiation degree of osteosarcomas was① bone brood cell, 16.7% ;② cartilage brood cell,12.5% ;③ Fiber brood cell:20% ,(P >0.05).(2)The deletion frequency in male patients was 17.6% , female patients 12.5% ,(P >0.05).(3)In early metastatic osteosarcomas the deletion rate was 33.3% ,which was significantly higher than that of the control group with the rate of 10.5% (P< 0.05).(4)The deletion rate was 16% and the mutations were not found.Conclusion (1)The deletion rate was 16% and the mutations were not found.This suggests that the deletions of CDKN2/P16 gene were closely related to the genesis of primary osteosarcoma and that the main type of the alternation of CDKN2/P16 gene was deletion.(2)In early metastatic osteosaarcomas the deletion rate was 33.3% , which was significantly higher than that of the control group with the rate of 10.5% .This indicates to great extend that the deletions of CDKN2/P16 gene were closely related to the metastatic ability.(3)The deletions frequency had no significant relationship with differentiation degree of osteosarcomas, so was with the sex of the patient.

The characteristics and advantages of traditional Chinese medicine ( TCM ) diagnosis and treatment of chronic liver diseases are conducted on the individualized treatment based on TCM syndrome classification . In this study , the analysis of systems biology was carried out for TCM syndrome classification in chronic hepatitis B and posthepatitic cirrhosis . The relationship between TCM syndrome classification and genetic polymorphism , the difference of genes and protein expression profiles , the difference of urine metabolite , and the molecular mechanism of Different TCM Syndrome for Same Disease and Same TCM Syndrome for Different Diseaseswere discussed . The results showed that there are molecular biological basis in TCM syndrome classification in hepatitis B and posthepatitic cirrhosis . The systems biology based syndrome identification methods may be bene-ficial to form a new classification , and provide reference for the diagnosis and individual therapy of hepatitis B and posthepatitic cirrhosis .

Objective To establish a glucocorticoid receptor knockdown model of human macrophage cell line U937 with RNA interference technique. Methods Two RNAi recombinant plasmids (named pSilencer 3.1-GR 1 and pSilencer 3.1-GR 2) targeting to GR gene were constructed. After RNAi recombinant plasmids were transfected into human macrophage cell line U937, the expressions of GR mRNA and GR protein were evaluated with RT-PCR and Western blotting respectively. The transcriptional activation function of GR was evaluated through the detection of relative luciferase activity after dexamethasone treatment. Results Two RNAi recombinant expression plamids were constructed and identified by sequencing. pSilencer 3.1-GR 2 transfection could inhibit not only GR mRNA and protein expressions, but also transcriptional activation function of GR specially; pSilencer 3.1-GR 1 transfection had no significant changes as compared to normal control. Conclusion A glucocorticoid receptor knockdown model has been established successfully, which offers a new method for the further research of GR biological functions.

Objective:To analyze the identification and antibiotics susceptibility of Herbaspirillum in catheter-related bloodstream infection, and improve the awareness and attention of the rare pathogenic microorganisms for clinicians and microbiologists. Methods:The bacterium was isolated from a positive blood culture of a hemodialysis patient with chronic renal failure. The smear of isolate was prepared, stained and observed by microscope. The single colonies were identified by mass spectrometry and VITEK 2 Compact identification and antibiotics sensitivity analysis system, respectively. Then, 16S ribosomal DNA (rDNA) was amplified and sequenced, and bacterial genome was sequenced.Results:The gram-negative bacilli was found in the positive blood culture bottle. After incubated on blood agar for 16 hours, milky white, bulging and non-haemolytic colonies were observed. The identification result was Burkholderia cepacian by VITEK 2_Compact and antimicrobial susceptibility testing showed resistance to aztreonam and polymyxin but sensitive to other drugs in N335 card. The isolate could not be identified by VITEK MS with clinical database. However, it was identified as Herbaspirillum huttiense/Herbaspirillum aquaticum with research database. The 16S rDNA of the strain was consistent with Herbaspirillum huttiense and Herbaspirillum aquaticum (more than 99%). High-throughput bacterial genome sequencing revealed that the isolate in this case shared 100% homology with Herbaspirillum huttiense subsp putei IAM 15032 in Genbank database, which confirmed that the isolate was Herbaspirillum huttiense. Conclusions:There are more and more environmental microorganisms evolved into human pathogenic bacteria. Herbaspirillum species are easy to be misidentified because its biochemical characteristics are similar to other strains.