Cerebral salt wasting syndrome (CSWS) is a common cause of refractory hyponatremia. Early diagnosis and treatment of CSWS can greatly improve the patient′s condition and improve the prognosis. Clinically by supplying sodium hydrate, most patients can resume normal serum sodium level, and get remission. But a few patients with low serum sodium, high urine sodium and low blood volume can not improve and even worse. Fludrocortisone and adrenal cortical hormone can rapidly and effectively reduce the urinary sodium level and urine volume, correct hyponatremia and low blood volume and improve the prognosis in such patients.

The enantiomeric resolution of lactic acid was studied by reversed high performance liquid chromatography. β-cyclodextrin (β-CD), dimethyl (DM) and TM-β-CD were used as chiral mobile phase additives. The effects of different mobile phase, pH and concentration of chiral mobile phase additives on resolution of D,L-lactic acid were investigated. The results showed: the enantioselectivity of TM-β-CD was better than those of β-CD and DM-β-CD. D,L-lactic acid could be partly separated by DM-β-CD 　and could not be separated by β-CD, while it could be fully separated by TM-β-CD. As the concentration of TM-β-CD changed from 0.20　mmol/L to 1.00　mmol/L, The resolution varied slightly. The experiment of the effect of pH of mobile phase on Rs showed: as pH changed from 2.4 to 3.0, the Rs remain stable, and when pH＞3.1, the Rs decreased with the increase of pH. The RSD of retention time of L-lactic acid and D-lactic acid were 0.2% and 0.2%, respectively. The chromatographic systems with a dynamically-generated stationary phase with 2,3,6-tri-O-methyl-β-cyclodextrin proved to be an effective method for lactic acid enantiomer separation

Object To study the separation effect of three macoroporous resins for lycopene and ? carotene, in order to optimize the suitable one. Methods The performances of adsorption and desorption for lycopene and ? carotene with three macroporous resins D4020, X 5 and AB 8 were compared, and adsorption dynamics process of resins was studied. Results The adsorptive capacities of X 5 resin for lycopene and ? carotene are the most, they are 7 44 and 11 2 mg/g, respectively. Desorption ratio of X 5 resin is the highest. Conclusion X 5 resin is an ideal adsorbent for lycopene and ? carotene extraction.

Cerebrospinal fluid and level of blood S100B protein are significantly higher in patients with intracerebral hemorrhage,which are associated the differentiation of stroke,damage of blood-brain barrier,hematoma volume,brain edema,degree of nerve function defect,and outcomes.Therefore,S100B is expected to be used in the diagnosis of intracerebral hemorrhage,assessment of injury and outcomes,and even as a biomarker of therapeutic targets.

Proteomics was important for the coherent study of human reproduction and animal breeding including human infertility,sperm-egg binding and mutual recognition of the mechanism.It was well known that proteomics had become one of the main branches of life sciences in the future.This provides the technological means and theoretical foundation for the individual dynamic changes in the protein.At the same time,it plays an important role in the drug development,the mechanism of life activities and in the field of livestock breeding.

OBJECTIVE To investigate the existence of genes for beta-lactam antibiotic resistance and for aminoglycosides modification enzymes(AMEs) in Pseudomonas aeruginosa(PAE) isolates from ICU patients and analyze the homology among strains.METHODS ?-Lactamase genes including TEM,SHV,OXA-10,PER,VEB,GES,CARB,IMP,VIM,SPM,GIM,DHA,FOX,MOX and oprD2,were detected by PCR amplication in 21 PAE isolates.The genes for AMES including aac(3)-Ⅰ,aac(3)-Ⅱ,aac(6′)-Ⅰ,aac(6′)-Ⅱ,ant(3″)-Ⅰ and ant(2″)-Ⅰwere determined by PCR amplification as well.RESULTS Among 21 isolates 21(100%),2(9.5%),1(4.8%),2(9.5%)and 4(19.0%) were positive for TEM,SHV,GES,CARB and VIM genes,respectively.The deletion of oprD2 gene was found in 14 out of 21 strains.Other ?-lactamase genes were absent in all isolates.As for AME genes,aac(3)-Ⅱ,aac(6″)-Ⅰ,aac(6)-Ⅱ,ant(3″)-Ⅰ,ant(2″)-Ⅰ and aac(3)-Ⅰgenes were present in 19.0%,23.8%,9.5%,4.8%,and 19.0% of 21 isolates,However,aac(3)-Ⅰ gene was no position in any isolates.CONCLUSIONS P.aeruginosa carries various beta-lactamase and AME genes in ICU patients.Genetic cluster analysis suggested that clonal propagation result in nosocomial infection of PAE.

OBJECTIVE To investigate genes associated with aminoglycosides modification enzymes(AMEs) in Pseudomonas aeruginosa(PAE) isolated from ICU patients.METHODS Drug-reisistant genes encoding AMEs such as aac(3)-Ⅰ,aac(3)-Ⅱ,aac(6′)-Ⅰ,aac(6′)-Ⅱ,ant(3″)-Ⅰ and ant(2″)-Ⅰ were detected by polymerase chain reaction(PCR)(amplification) in 21 PAE isolates.RESULTS The positive rates of aac(3)-Ⅱ,aac(6′)-Ⅰ,aac(6′)-Ⅱ,ant(3″)-Ⅰ,ant(2″)-Ⅰ and aac(3)-Ⅰ genes were positive in 19.0%,23.8%,9.5%,4.8%,19.0% and 0% of 21 isolates,respectively. Drug-resistant genes encoding AMEs were detected positively in 42.8% of 21 isolates.(CONCLUSIONS) AMEs genes are present in high percentage of PAE isolated from ICU patients.

OBJECTIVE To investigate genes associated with the drug-resistance of ?-lactam antibiotics in Pseudomonas aeruginosa(PAE) isolated from clinical patients. METHODS ?-Lactamase genes including TEM,SHV,OXA-10,PER,VEB,GES,CARB,IMP,VIM,SPM,GIM,DHA,FOX,MOX and oprD2 were detected by PCR amplification in 33 PAE isolates. RESULTS TEM,SHV,GES,CARB and VIM genes were positive in 100%,6.1%,6.1%,9.1% and 12.1% of 33 isolates,respectively.The deletion of oprD2 gene was found in 22 isolates.Other ?-lactamase genes were absent in all isolates.By PCR amplification,DNA sequencing and BLASTn comparison analysis,the CARB genes of 2 strains were demonstrated to be CARB-3 and the VIM genes of 2 strains were VIM-2. CONCLUSIONS P.aeruginosa carries various beta-lactamase genes in clinical PAE patients,and the deletion ratio of oprD2 gene is high.

Construction of artificial cell factory to produce specific compounds of interest needs wild strain to be genetically engineered. In recent years, with the reconstruction of many genome-scale metabolic networks, a number of methods have been proposed based on metabolic network analysis for predicting genetic modification targets that lead to overproduction of compounds of interest. These approaches use constraints of stoichiometry and reaction reversibility in genome-scale models of metabolism and adopt different mathematical algorithms to predict modification targets, and thus can discover new targets that are difficult to find through traditional intuitive methods. In this review, we introduce the principle, merit, demerit and application of various strain optimization methods in detail. The main problems in existing methods and perspectives on this emerging research field are also discussed, aiming to provide guidance to choose the appropriate methods according to different types of products and the reliability of the predicted results.
Algorithms ; Biotechnology ; methods ; Computer Simulation ; Genome ; Industrial Microbiology ; Metabolic Engineering ; methods ; Metabolic Networks and Pathways ; Models, Theoretical ; Reproducibility of Results

In the last few years, high-throughput (or 'next-generation') sequencing technologies have delivered a step change in our ability to sequence genomes, whether human or bacterial. Further comparative genome analysis enables us to reveal detailed knowledge of genetics or physiology of industrial important strains obtained in laboratory, to analyze genotype-phenotype correlations of mutants with improved performance. Based on identified key mutations or mutation combinations, Inverse Metabolic Engineering (IME) can be performed by using accurate genetic modification system. Recently, IME has been successfully used for strain improvement and has become a research hotspot, including improving substrate utilization, engineering the robustness of industrial microbes and enhancing production of bio-based products. Here, we describe recent advances in research methods of IME, with an emphasis on characterization of genotype-phenotype and the latest advances and application of IME. Possible directions and challenges for further development of IME are also discussed.
Industrial Microbiology ; trends ; Metabolic Engineering ; trends ; Mutation