OBJECTIVETo investigate the correlations of 24 biochemical markers in the seminal plasma with routine semen parameters.

METHODSAccording to the WHO5 standards, we analyzed the routine semen parameters of 66 subfertile men, including the semen volume, sperm concentration, total sperm count, sperm motility, and the percentage of progressively motile sperm (PR). Based on the calibration and quality control measures and using an automatic biochemistry analyzer or electrolyte analyzer, we detected 24 biochemical markers in the seminal plasma of the patients, including total protein (TP), albumin (Alb), globulin (Glb), uric acid (UA), alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (AKP), γ-glutamyltransferase (GGT), lactate dehydrogenase (LDH), creatine kinase (CK), alpha hydroxybutyrate dehydrogenase (αHBDH), adenosine deaminase (ADA), glucose (Glu), triglyeride (TG), total cholesterol (TC), urea nitrogen (UN), creatinine (Cr), high-sensitive C-reactive protein (hsCRP), K+, Na+, Cl- , Ca, Mg, and phosphorus (P). Then we analyzed the correlations of the 24 biochemical markers with routine semen parameters.

RESULTSThe levels of the TP, Alb, and Glb proteins in the seminal plasma were positively correlated with sperm concentration, so was that of Alb with the total sperm count, and the AST and LDH activities with sperm concentration and total sperm count. The AKP activity in the seminal plasma was correlated negatively with the semen volume, but positively with sperm motility. The αHBDH activity exhibited a positive correlation with both sperm concentration and total sperm count, with a coefficient of correlation (r) above 0.7. The UN level was correlated negatively with the semen volume, so was the Cr level with the semen volume, sperm concentration, and total sperm count, and the Glu level with sperm concentration and total sperm count. The TG level was correlated positively with the semen volume, but negatively with sperm motility. The levels of seminal plasma ALT, GGT, ADA, UA, TC, CK, and hsCRP showed no correlation with the above-mentioned semen parameters. None of the seminal plasma K+, Na+, Ca, Mg, and P levels was found correlated with semen parameters except the Cl- level, which was negatively correlated with the semen volume.

CONCLUSIONMany biochemical markers in the seminal plasma are closely related to routine semen parameters, indicating that these biochemical components may play roles in spermatogenesis, sperm maturation, and physiological metabolism.

OBJECTIVETo compare the effect of reinforcing Shen method (RSM) and activating blood method (ABM) in treating osteoarthritis (OA) at the molecular level.

METHODSThe physical and chemical characteristics of components from respective recipes of RSM and ABM, and network features of component-target interaction network were analyzed by computer simulation methods including chemical space, molecular docking, and biological network, etc.

RESULTSThe chemical components of RSM and ABM were scarcely scattered with larger overlapping. Among established networks, the distribution of network features was partially similar in RSM and ABM. The average target number correlated with each component was 1.86 in RSM and 2.11 in ABM respectively. Each average target number was respectively correlated with 4.46 compounds and 3.93 compounds, reflecting multi-component and multi-target actions.

CONCLUSIONComputer simulation could intuitively trace out similarities and differences of two different methods and their interaction with targets, which revealed that the compatibility of RSM and ABM could have broader protein targets and potential synergism at the molecular level.

Atractylodis Macrocephalae Rhizoma and Atractylodis Rhizoma were widely used in strengthening spleen under different disease conditions, and were easily and often misused each other. Therefore, DNA barcode was used to distinguish Atractylodis Macrocephalae Rhizoma and Atractylodis Rhizoma from their adulterants to ensure the safe use. The sequence lengths of ITS2 of Atractylodes macrocephala, Atractylodis Rhizoma (A. lancea, A. japonica and A. coreana) were both 229 bp. Among the ITS2 sequences of A. macrocephala, only one G/C transversion was detected at site 98, and the average GC content was 69.42%. No variable site was detected in the ITS2 sequences of A. lancea. The maximum K2P intraspecific genetic distances of both A. japonica and A. coreana were 0.013. The maximum K2P intraspecific genetic distances of A. macrocephala, A. lancea, A. japonica and A. coreana were less than the minimum interspecific genetic distance of adulterants. The ITS2 sequences in each of these polytypic species were separated into pairs of divergent clusters in the NJ tree. DNA barcoding could be used as a fast and accurate identification method to distinguish Atractylodis Macrocephalae Rhizoma, Atractylodis Rhizoma, from their adulterants to ensure its safe use.
Atractylodes ; classification ; genetics ; DNA Barcoding, Taxonomic ; methods ; DNA, Plant ; genetics ; DNA, Ribosomal Spacer ; genetics ; Drug Contamination ; prevention & control ; Drugs, Chinese Herbal ; chemistry ; classification ; Molecular Sequence Data ; Phylogeny ; Quality Control ; Rhizome ; classification ; genetics

Objective To discuss the influence of the high quality nursing service demonstration project on the doctor-patient relationship.Methods Retrospective study was adopt to compare the nursing service,accompanying rate and patient's satisfaction rate before and after taking the high quality care service demonstration project.Results Nursing service had been improved,with accompanying rate falling from 100.0％to 70.0％ ( x2 =1 116.3,P ＜ 0.05),patients' satisfaction rate increasing from 92.0％ to 99.0％ ( x2 =180.3,P ＜ 0.05 ),the doctors' satisfaction rate increasing from 96.0％ to 100.0％ ( x2 =2.8,P ＜ 0.05 ),and nursing quality control deficiency rate decreasing from 25.0％ to 12.0％ ( x2 =5.6,P ＜ 0.05 ).Conclusions The nursing service demonstration project can ameliorate the doctor-patient relationship by carrying out humanized service.

0.05),while the level of IL-8,TNF-? and endotoxin changed significantly during CRRT(Pa

Objective To develop a liquid chromatography tandem mass spectrometry(LC-MS/MS) method for determination of s teicoplanin in human plasma.Methods The plasma samples were precipitated by methnaol,then the supernatant were separated on Eclipse Plus C1s column (2.1 mm × 100 mm,3.5 μm) and eluted with methnaol-10 mmol · L-1 ammonium acetate(85:15,v/v,containing 0.1％ formic acid),and the column temperature was 25 ℃.Detection of the analyte was achieved using positive ion electrospray ionization (ESI) in the multiple reaction monitoring (MRM) mode.The MS/MS ion transitions monitored were m/z 1880.1→m/z 1563.0,m/z→748.8 m/z 158.1 for teicoplaninand internal standard,respectively.The specificity,standard curve and lower limitation of quantitation,precision and recovery rate,stability and matrix effect were investigated.Results The linear regression equation was y =1.63 × 10-2x-2.95 × 10-3(r =0.9963).The linear range of teicoplanin was 0.10-20.00 μg · mL-1,with the lower limit of quantitation (LLOQ) of 0.10 μg · mL-1.The accuracy was 93.56％-105.12％.Intra-day and inter-dayrelative standard deviations were both below 15％.The absolute recovery in plasma was 80.32％-88.28％.The matrix effect was 91.78％-108.56％.Conclusion The established method is rapid,sensitive,accurate,specific and reliable,and it is suitable for the determination of teicoplanin in human plasma and pharmacokinetic study.

Objective To investigate the relationship between myocardial ischemia and slow coronary flow phenomenon with 99Tcm-methoxyisobutylisonitrile (MIBI) adenosine myocardial perfusion SPECT imaging. Methods Forty-four patients were divided to three groups according to the result of coronary angiography(CAG). There were GAG-positive(P-GAG) (n=12),slow coronary flow (CSF) (n =22),and normal coronary flow (NCF) (n = 10). Results of adenosine myocardial perfusion imaging were compared among these three groups. Semi-quantitative visual scoring method was used to evaluate the myocardial perfusion:0 = normal,1 = mild decrease,2 = moderate decrease,3 = severe decrease,4 = defect. Statistical analysis was performed using variance analysis,t-test and x2-test. Results No significance was observed at age ( t =0.27,0. 54 and 0. 59),sex (x2 = 0. 92),hypertension,hyperlipemia and diabetes (x2 = 1.23,all P ＞ 0.05 ) among the three groups. A significantly higher frames of the coronary thrombolysis in myocardial infarction (TIMI) flow was noted in CSF than in NCF groups (33.7 ±5.5 vs 17.6 ±3.9,t = 9. 58,P ＜0. 001 ). The positive adenosine myocardial perfusion imaging rate were significant among these three groups with 100% (12/12) in P-CAG group,77.3% (17/22) in CSF group,and 20% (2/10) in NCF group. When using semi-quantitative visual scoring method,significantly higher average ischemia segments were noted in CSF group than in NCF group ( 1.06 ± 0.77 and 0. 91 ± 0.80,t = - 2. 02,P ＜ 0. 05 ),but was less than that in P-CAG group (2.41 ±0.79,t =4. 54,P ＜0.001 ). The degree of ischemia of CSF group was higher than that in NCF group ( 8.01 ± 6.06,and 2.73 ± 2.60,t = - 2.07,P ＜ 0.05 ) and was less than that in P-CAG group (14. 07 ±12. 77 ,t=1.44,P＞0. 05). Conclusion Slow coronary flow phenomenon can be detected by adenosine myocardial perfusion image to offer the evidence of diagnosis and treatment for the chest pain patients with negative coronary angiography results.

This study examined the effect of Notch-1 signaling on malignant behaviors of breast cancer cells by regulating breast cancer stem cells (BCSCs). BCSCs were enriched by using serum-free medium and knocked out of Notch-1 by using a lentiviral vector. Real-time polymerase chain reaction (RT-PCR) and Western blotting were used to detect the Notch-1 expression levels in breast cancer cell lines and BCSCs, and flow cytometry to detect the proportion of BCSCs in BCSC spheres. The BCSC self-renewal, migration, invasion, and tumorigenicity were examined by the tumor microsphere-forming assay and transwell assay and after xenotransplantation. The results showed that the Notch-1 silencing reduced the number of BCSC spheres, the proportion of BCSCs, and the number of cells penetrating through the transwell membrane. It also decreased the size of tumors that were implanted in the nude mice. These results suggest that Notch-1 signaling is intimately linked to the behaviors of BCSCs. Blocking Notch-1 signaling can inhibit the malignant behaviors of BCSCs, which may provide a promising therapeutical approach for breast cancer.

Comparative analysis of variable region ORF14/15 genes of white spot syndrome virus (WSSV) genome in Guangxi Penaeus vannamei (P. vannamei) could provide useful information for the evaluation of genetic diversity and genetic evolutionary relationship among WSSV isolates from Guangxi, China and other places. Based on geographical and temporal considerations, 40 WSSV-positive P. vannamei samples were collected during the period between May 2010 and July 2013 from Beihai, Qinzhou, and Fangchenggang, which were the main P. vannamei production areas in Guangxi, and the variable region ORF14/15 genes of the WSSV genome from all infected samples were amplified by PCR and then subjected to cloning and sequence analysis. Pairwise and multiple alignment analysis was then conducted to evaluate the degree of genetic divergence between different strains. The variable region ORF14/15 genes from 25 of 40 WSSV positive samples were successfully cloned and sequenced; among the ORF14/15 genes of 25 WSSV-positive strains, 22 was 619 bp in length and 3 was 620 bp. All the 25 Guangxi strains carried a 5949-bp deletion in the ORF14/15 region relative to TH-96-II, which has the longest nucleotide sequence in this region; the deletion of Guangxi strains occurred in the middle region of ORF14/15 gene, with only 190 bp and 429 bp/ 430 bp at 5' and 3' ends, respectively, which were coincident with WSSV-IN-05-I in deletion length and position. Sixteen of 25 Guangxi strains had completely identical nucleotide sequences in the variable re gion, and the homology between other strains also exceeded 97.9%. There were single nucleotide substi tution, deletion, and insertion in the ORF14/15 region of Guangxi strains compared with other strains in GenBank. In the phylogenetic tree based on WSSV variable region ORF14/15, the Guangxi strains were closely related and formed a separate branch with Indian strain IN-05-I, but far from other strains in GenBank. The ORF14/15 gene of WSSV isolates in cultured P. vannamei in Guangxi has a large deletion in the middle of the variable region, and the Guangxi WSSV strains show no significant spatio-temporal differences; the Guangxi strains are closer in genetics to Indian strain IN-05-I than other strains in GenBank.
Animals ; China ; Cloning, Molecular ; Evolution, Molecular ; Genome, Viral ; genetics ; Genomics ; Penaeidae ; virology ; Phylogeny ; White spot syndrome virus 1 ; genetics

OBJECTIVETo study the pharmacological properties of Tougu Xiaotong Granule (TGXTG) in preventing and treating knee osteoarthritis (KOA) at the molecular level.

METHODSThe computational methods, including principal component analysis, molecular docking, target-ligand space distribution, and the predictions of absorption, distribution, metabolism, excretion and toxicity (ADMET), were introduced to characterize the molecules in TGXTG.

RESULTSThe structural properties of molecules in TGXTG were more: diverse than those of the drug/drug-like molecules, and TGXTG could interact with significant target enzymes related to KOA. In addition, the cluster of effective components was preliminarily identified by the target-ligand space distributions. As to the results of ADMET properties, some of them were unsatisfactory, and were merely regarded as references here.

CONCLUSIONBased on this computational pharmacology study, TGXTG is a broad-spectrum recipe inhibiting many important target enzymes, which could effectively postpone the degeneration of spectrum cartilage by coordinately inhibiting the biological effects of cytokines, matrix metallopeptidase 3, and oxygen free radicals. radicals.