OBJECTIVE To determine the distribution of pathogens of bacterial infection in respiratory intensive care unit (RICU) to provide reference for the prevention of hospital infection. METHODS To collect specimens of the patients received endotracheal intubation from Jan 2006 to Dec 2006 in our RICU,to identify pathogens and drug sensitivity test. RESULTS We isolated 105 pathogenic bacteria from 626 specimens of the 58 patients,the G-bacilli accounted for 64.76%,G+ cocci accounted for 20.95%,fungi accounted for 12.38%; Acinetobacter baumannii was one of the main G-bacilli accounted for 19.05%. Staphylococcus aureus of G+ cocci for 9.52%,and Candida albicans of fungi for 7.62%; from 105 pathogens,65 from the respiratory tract,15 from the for urinary tract,eight from a catheter tube,six from the digestive tract,five from the blood,four from the various drainage tubes and two from the incision secretions. CONCLUSIONS Hospital infection pathogens exist in the respiratory tract infection in hospitalized patients of respiratory ICU with risk factors of age,underlying diseases,time in the intensive care unit,ventilator time and the use of invasive procedures in a certain relationship.

Objective To establish an HPLC method for determination of low-molecular-weight carbonyl compounds in the oil-containing herbs. Methods After carbonyl compounds in the samples were extracted with water, the solution reacted with 2, 4-dinitrophenylhydrazine (DNPH) in an acidic medium to form 2, 4-dinitrophenylhydrazone derivatives, which were separated on Kromasil KR100-5 C18 column (250 mm× 4.6 mm, 5 μm). The mobile phase A was water-acetonitrile-tetrahydrofuran-isopropanol (59∶30∶10∶1), mobile phase B was water-acetonitrile (35∶65), gradient elution. The flow rate was 0.8 mL/min, detection wavelength was 365 nm, and column temperature was 30 ℃. Results Good linearities were obtained in corresponding concentration ranges, with correlation coefficient over 0.999. The limits of detection of the eight DNPH derivatives were 0.002-0.008 μg/mL, and the average recoveries were 88.49%-93.65%. Conclusion The method is simple, accurate and reliable, with good reproducibility.

Objective:To investigate the correlation between serum cystatin C (Cys C) and left ventricular geometry in patients with obstructive sleep apnea syndrome (OSAS) complicated with prehypertension(PH).Methods:A total of 408 patients with PH and OSAS diagnosed by polysonogram monitoring in the sleep monitoring room of Respiratory Department, the First Hospital of Shanxi Medical University from July 2018 to June 2021 were collected. Serum Cys C concentration and echocardiography were performed in all patients. According to the classification of left ventricular geometry, all patients were divided into four groups: normal configuration (NG) group( n=297), concentric remodeling (CR) group( n=49), eccentric hypertrophy (EH) group( n=33), and concentric hypertrophy (CH) group( n=29). General clinical data, sleep parameters, blood biochemical parameters, Cys C concentration and echocardiographic parameters were compared among the four groups, and the correlation between serum Cys C and left ventricular geometry was analyzed. Results:①The serum Cys C concentration increased successively from NG group, CR group, EH group to CH group, and the increase in CH group was the most obvious ( P<0.05). In addition, there were statistically significant differences in body mass index (BMI), waist circumference, systolic blood pressure (SBP), diastolic blood pressure (DBP), severity of OSAS, the percentage of the time that the blood oxygen saturation was less than 90% of the total sleep time (T90), lowest oxygen saturation (Lowest-SaO 2), mean oxygen saturation (Mean-SaO 2), left ventricular end diastolic diameter (LVEDD), inter-ventricular septal diameter (IVST), left ventricular posterior wall thickness diameter (LVPWT), left ventricular mass index (LVMI), relative wall thickness (RWT), left ventricular ejection fraction (LVEF) and E/A among all groups (all P<0.05). ②Multivariate Logistic regression analysis showed that Cys C was independently correlated with CR (β=0.721, OR=2.057, P=0.047), EH(β=0.961, OR=2.614, P=0.017) and CH (β=1.180, OR=3.254, P=0.010). Conclusions:There is a correlation between serum Cys C and left ventricular geometry in OSAS patients with PH, suggesting that serum Cys C might be involved in the change of left ventricular geometry.

MLL3 is also known as lysine methyltransferase 2C (KMT2C). The mutation of MLL3 can occur in a variety of human cancers, including leukemia, liver cancer, and stomach cancer. The effect of MLL3 in different cancers is also different, for example, MLL3 is carcinogenic in pancreatic and liver cancer, while it acts as a tumor suppressor in acute myeloid leukemia and esophageal squamous cell carcinoma. The effects of genes in tumors depend on certain environment and conditions, and the mechanism of the suppressive effect of MLL3 in leukemia is still not clear. This paper reviews the research progress of the antitumor mechanism of MLL3 in leukemia.

Autoimmune Diseases ; diagnostic imaging ; immunology ; Female ; Humans ; Immunoglobulin G ; immunology ; Middle Aged ; Pancreatic Neoplasms ; diagnostic imaging ; immunology ; Pancreatitis ; diagnostic imaging ; immunology ; Tomography, X-Ray Computed