A model for screening the yeast which can ferment xylose to produce the ethanol was constructed.An ethanol yeast was obtained using the lignocellulose as substrate production the ethanol.By malt extract medium pre-culturing,soil samples use the plate with xylose as sole carbon source as the primary screening,then finally screen by the potassium dichromate color-displaying method.A strain named Y2-3 was screened from the soil.Phenotypic analysis including morphology and physiology and biochemical characteristics and 26D1/D2 sequence analysis were carried out.Based on taxonomy results,the Y2-3 was identified as Pichia caribbica.The strain Y2-3 ferments using xylose as sole carbon source: biomass 23.5 g/L,xylose utilization rate 94.7 %,ethanol final yield 4.57 g/L;using mixture sugar:biomass 28.6 g/L,xylose utilization rate 94.2 %,glucose utilization rate 95.6%,ethanol final yield 20.6 g/L.Pichia caribbica is a yeast which can utilize xylose and mixture sugar as substrate.It established the foundation for further research fermentation of ethanol by yeast using lignocellulose.

Objective To analyze the status of quality indicators(QI) on specimen acceptability and establish preliminary qual ity specification.Methods Web based External Quality Assessment system was used to collect data of laboratories partici pated in "Medical quality control indicators in clinical laboratory" from 2015 to 2017,including once in 2015 and 2017 and twice in 2016.Rate and sigma scales were used to evaluate incorrect sample type,incorrect sample container,incorrect fill level and anticoagulant sample clotted.The 25th percentile (P25) and 75th percentile (P75) of the distribution of each QI were employed to establish the high,medium and low specification.Results 5 346,7 593,5 950 and 6 874 laboratories sub mitted the survey results respectively.The P50 of biochemistry (except incorrect fill level),immunology and microbiology reach to 6σ.The P50 of clinical laboratory is 4 to 6σ except for incorrect sample container.There is no significant change of the continuous survey results.Based on results in 2017 to establish the quality specification,the P25 and P75 of the four QIs is 0 and 0.084 4 ％,0 and 0.047 6 ％,0 and 0.114 2 ％,0 and 0.078 4 ％,respectively.Conclusion According to the results of the survey,most laboratories had a faire performance in biochemistry,immunology and microbiology,and clinical laboratory needs to be strengthened.Laboratories should strengthen the laboratory information system construction to ensure the actual and reliable data collection,and make a long time monitoring to achieve a better quality.

The Myh3 (myosin heavy chain 3) gene is a marker gene of muscle cell differentiation and regulates the utilization of energy in muscle cells, but whether it affects the glycolysis process of muscle cells in different states is rarely reported. In this paper, the expression patterns of Myh3 and glycolysis-related genes Pkm (M-type pyruvate kinse), Prkag3 (protein kinase adenosine monophosphate-activated γ3-subunit), and Gsk3β (glycogen synthase kinase-3β) were studied by the qRT-PCR (quantitative-Real-Time-PCR) method using C2C12 cells at different stages of myoblast and adipogenic differentiation as models. It was found that in the process of myoblast differentiation of C2C12 cells, the relative expression trends of Myh3 and glycolysis genes Prkag3 and Pkm were basically the same, and the relative expression levels first increased, reached the peak on the second day of differentiation, and then decreased; glycogen synthase the expression trend of the inhibitory gene Gsk3β was relatively stable. In the process of adipogenic differentiation of C2C12 cells, the relative expression trend of Myh3 and glycolysis genes Prkag3 and Pkm remained basically the same, and the relative expression gradually increased, reaching the highest value on the 8th day of differentiation; glycogen synthase inhibitory gene Gsk3β expression remained stable. In the myogenic differentiation state of C2C12 cells, qRT-PCR and Western blotting were used to detect the effects of interfering Myh3 on the mRNA and protein expressions of glycolysis-related genes Pkm, Prkag3, and Gsk3β. The results showed that after interfering with Myh3, the mRNA expressions of glycolysis genes Pkm and Prkag3 were significantly decreased (P<0.01), while the mRNA expression of glycogen synthase inhibitory gene Gsk3β had no significant change (P > 0.05). The protein levels of Myh3 and Pkm were significantly lower than those in the blank group and NC group. Under the adipogenic differentiation state of C2C12 cells, after interfering with Myh3, the mRNA levels of glycogen synthase inhibitor Gsk3β and glycolysis gene Prkag3 were significantly increased (P<0.01), and the mRNA level of glycolysis gene Pkm was decreased; the protein levels of Myh3 and Pkm in the Myh3 interference group were also lower than those in the blank group and NC group. Based on the above studies, there are significant differences in the levels of glycolysis in C2C12 cells in the myogenic and adipogenic states, and the expression patterns of Myh3 and glycolysis genes are similar. Further results showed that Myh3 suppression could inhibit the glycolysis of C2C12 cells in the myogenic state without affecting the glycogen synthesis. Unlike in the myogenic state, interfering expression of Myh3 in the adipogenic state of C2C12 cells inhibited both glycogen synthesis and glycolysis.

Objective: To observe the characteristics and trends during the last 11 years of risk factors of young adults with first acute coronary syndrome (ACS). Methods: It was a cross-sectional study. We included young adults (18 to 44 years old) hospitalized for acute coronary syndrome in Beijing Anzhen Hospital for a first time from January 2007 to December 2017. Acute coronary syndromes include ST-elevation myocardial infarction (STEMI), non-ST-elevation myocardial infarction (NSTEMI), and unstable angina (UA). The general information, medical history and laboratory test were recorded. Risk factors of ACS were smoking, dyslipidemia, overweight/obesity, hypertension and diabetes. Results: Data from 7 106 patients were analyzed, mean age was (39.8±4.2) years old and 6 593(92.8%)were men, including 2 254 (31.7%) STEMI, 704 (9.9%) NSTEMI and 4 148 (58.4%) UA. Most patients were male (6 593(92.8%)). Dyslipidemia (85.8%(6 094/7 106)), overweight/obesity (82.3%(5 850/7 106)), and smoking (63.9%(4 545/7 106)) were most prevalent. 98.3% (6 885/7 106) patients had at least 1 risk factor. The prevalence of hypertension, diabetes and overweight/obesity increased from 2007 to 2017. Rates of hypertension increased from 37.1%(111/299) to 48.1%(498/1 035) (P_trend<0.01), diabetes from 12.0%(36/299) to 19.4%(201/1 035) (P_trend<0.01), overweight/obesity from 74.2%(222/299) to 83.9%(868/1 035) (P_trend<0.05), respectively. Conclusions: Dyslipidemia, overweight/obesity and smoking are most prevalent risk factors in young adults with a first ACS and most patients have at least 1 risk factor for ACS. Rates of hypertension, diabetes and overweight/obesity progressively increases over time in this patient cohort.