Objective To investigate the influence of high-voltage electrical burn on the throm-bomodulin (TM), protein C (PC), protein S (PS) and D-Dimer (D-D) in SD rats. Methods One hundred and twenty healthy SD rats were divided into the fake high-voltage electrical burn groups (FHEB), high-voltage electrical burn groups (HEB) according to the random number table, with 60 rats in each group. Ten rats were taken from each group at 15 minutes before injury. Plasma were collected from heart blood. Fifty SD rats of HEB group with voltage regulator and experimental transformer. The remaining fifty SD rats of FHEB group were sham injured with the same devices without electric current. At 5 minutes and 1, 2, 4, 8 hour (s) post injury, 10 rats of every group were randomly chosen at each time point for observation of the concentrations of TM, PC, PS and D-D. Plasma were collected from heart blood. Data were processed with analysis of variance of factorial design and LSD test. Results Compared with the FHEB group, the concentration of TM from 5 minutes to 8 hours post injury in HEB group was higher significantly (P < 0.05). Exception of the concentrations of PC and PS at 15 minutes before injury, the concentrations of PC and PS were lower than those of FHEB group (P < 0.05). The concentration of D-D in HEB group peaked at 8 hours post injury in (173.05 ± 4.08) ng/mL. Conclusion High-voltage electrical burn at early stage can increase the concentrations of TM, D-D, as well as decrease the concentrations of PC and PS, which are not only causing the vascular endothelium damage but also possessing serious effect on the thromboplastin function of SD rats.

Objective To study the clinical distribution and detection of the efflux pump gene in multiple drug-re?sistant acinetobacter baumannii. Methods The clinical distribution of 96 strains of multiple drug-resistant acinetobacter baumannii was analyzed. K-B method was used to detect 96 strains of multi resistant bauman resisted to 15 kinds of antibiot?ics. PCR amplification was used to detect the efflux pump gene. Results Ninety-six strains of multiple drug-resistant aci?netobacter baumannii mainly distributed in intensive care unit (ICU, 54.2%) and respiratory department (18.8%). The drug resistance rates to quinolone, cephalosporins, amino glucoside, tetracycline were above 70%. The 52 strains of multiple drug-resistant acinetobacter baumannii detected in ICU included 18 strains of adeB (34.62%), 16 strains of adeR (30.77%), 18 strains of adeS (34.62%), 18 strains of adeJ (34.62%), 0 strain of adeE and18 strains of adeM (34.62%). The18 strains of multiple drug-resistant acinetobacter baumannii detected in respiratory department included 9 strains of adeB, 8 strains of adeR, 8 strains of adeS, 8 strains of adeJ, 0 strain of adeE and 8 strains of adeM. Conclusion Efflux pump genes are impor?tant factors for multiple drug-resistant acinetobacter baumannii distributed in ICU and respiratory department.

Objective To expore multi-drug resistant Acinetobacter baumannii efflux pump phenotype and efflux pump gene expression in the resistant isolates. Methods Application of K-B method to detect 96 strains isolated from the First Hospital of Hebei Medical University multi-drug resistant Acinetobacter baumannii′ resistance to 15 kinds of antibacterial drugs, detecting multi-drug resistant Acinetobacter baumannii efflux pump phenotype with broth microdilution method by the addition of carbonyl cyanide chlorobenzene hydrazone ( CCCP) pump inhibitors,using PCR amplification and sequencing to study efflux pump protein gene sequence characteristics . Results The Acinetobacter baumannii resistance rate of 96 strains to quinolones, cephalosporins, aminoglycosides, tetracyclines were 70. 8%-94. 8%.There were 34 positive efflux pump phenotypes in 96 multi-drug resistant Acinetobacter baumannii strains, including 33 adeB strains, 32 adeR strains, 33 adeS strains, 33 adeJ strains,0 adeE strain,33 adeM strains, positive detection rate were 97. 06%, 94. 12%, 97. 06%, 97. 06%, 0, 97. 06%, respectively. By sequence comparison, adeB, adeR and adeS genes sequence homology was 100% in the GenBank. Conclusion Active efflux pump gene perturbation is one of the important factors in multi-drug resistant Acinetobacter baumannii.

In order to improve the laboratory identification ability of Lodderomyces elongisporus, we analyzed the main biological characteristics of Lodderomyces elongisporus isolated from peripheral venous blood and catheter blood of a brain stem infarction patient with a body temperature of 38.4 ℃, observed the colony color of the strain on CHROMagar Candida medium and the ascospores on Mcclary agar, identified the isolates with Vitek 2 compact, MALDI-TOF MS and sequence analysis, and tested the MICs with borth microdilution. The MICs of antifungal agents against Lodderomyces elongisporus are well below the normal values of these drugs. The central venous catheter was removed and antifungal drugs were used until two weeks after the last positive blood culture. During the medication perios, the blood culture was repeatedly negative, the patient had no fever and the infection index decreased to normal, which can be used for clinical reference.

Objective To explore the correlation between serum hepatitis C virus (HCV)-RNA level with cholinesterase (CHE), albumin (ALB) and prealbumin (PA) in patients with hepatitis C, and provide the references for the early diagnosis and the prognosis monitoring of hepatitis C. Methods Four hundred and fifty-five patients with hepatitis C were selected. The serum level of HCV-RNA was determined by quantitative real-time polymerase chain reaction (real-time PCR), and serum levels of CHE, ALB and PA were detected using the automatic biochemistry analyzer. The patients were divided into 6 group according to the result of HCV-RNA level:HCV-RNA<103 kU/L group (group A, 52 cases), 103 kU/L≤HCV-RNA<104 kU/L group (group B, 77 cases), 104 kU/L≤HCV-RNA<105 kU/L group (group C, 81 cases), 105 kU/L≤HCV-RNA<106 kU/L group (group D, 92 cases), 106 kU/L≤HCV-RNA<107 kU/L group (group E, 87 cases) and HCV-RNA≥107 kU/L group (group F, 66 cases). Moreover, the patients were divided into 3 groups according to the result of serum CHE: CHE normal group (> 5000 U/L, 321 cases), CHE mild abnormal group (4000- 5000 U/L, 56 cases) and CHE abnormal group (<4000 U/L, 78 cases). Results With the rising level of serum HCV-RNA from group A to group F, the serum levels of CHE, ALB and PA were all gradually decreased in hepatitis C patients, CHE: (7288 ± 2817), (6316 ± 2341), (6103 ± 2596), (5208 ± 2222), (4282 ± 2173) and (3905 ± 1378) U/L; ALB: (46.3 ± 9.9), (44.0 ± 8.4), (43.1 ± 7.6), (42.6 ± 7.1), (41.1 ± 5.4) and (39.3 ±5.1) g/L;PA:(212.1 ± 67.8), (179.9 ± 72.8), (163.4 ± 57.5), (137.4 ± 60.3), (120.6 ± 45.0) and (112.5 ± 42.0) mg/L, and there were statistical differences (F=21.08, 6.08 and 27.54;P<0.01). With the decreasing level of serum CHE, the serum levels of ALB and PA were all gradually decreased, ALB:(45.4 ± 10.1), (33.1 ± 4.2) and (31.5 ± 8.8) g/L;PA:(209.3 ± 56.4), (108.4 ± 44.1) and (81.5 ± 49.6) mg/L, and there were statistical differences (F = 70.23 and 152.57, P<0.01). The bivariate Spearman correlation analysis result showed that the serum HCV-RNA level was negatively correlated with serum CHE, ALB and PA (r =-0.357, -0.326 and-0.471; P<0.05), and the serum CHE was positively correlated with serum ALB and PA (r=0.726 and 0.807, P<0.05). Conclusions The serum HCV-RNA level is closely related to liver function indices. Performing simultaneous detection of serum HCV-RNA level and serum PA is helpful in the early diagnosis and treatment of Hepatitis C.

Objective To understand the distribution and drug resistance profiles of common clinical isolates in the intensive care unit(ICU)of a hospital in Xi'an.Methods A retrospective analysis was conducted on the antimicrobial susceptibility test results of clinical bacterial isolates in ICU of the Second Affiliated Hospital of Xi'an Jiaotong University from January 1,2020 to December 31,2022.Results A total of 3 649 clinical isolates were isolated from the ICU,including 1 344(36.8％)strains of Gram-positive bacteria and 2 305(63.2％)strains of Gram-negative bacteria.The most common bacterial species were Klebsiella spp.(14.8％,540/3 649),Enterococcus spp.(14.3％,522/3 649),coagulase-negative Staphylococcus(12.3％,448/3 649),Acinetobacter spp.(12.0％,438/3 649),and Escherichia coli(11.6％,424/3 649).The prevalence of methicillin-resistant Staphylococcus aureus(MRS A),methicillin-resistant Staphylococcus epidermidis(MRSE),and methicillin-resistant coagulase-negative Staphylococcus(MRCNS)was 76.1％,82.4％,and 69.9％,respectively.MRSA,MRSE,and MRCNS strains showed significantly higher antimicrobial resistance rates than MSSA,MSSE,and MSCNS except for trimethoprim-sulfamethoxazole.No Staphylococcus strains were found resistant to vancomycin or linezolid.Enterococcus faecium demonstrated higher antimicrobial resistance rates than Enterococcus faecalis.No Enterococcus isolates were found resistant to vancomycin.Two strains of linezolid-resistant E.faecalis were identified.Klebsiella pneumoniae showed high resistance rates to imipenem and meropenem(38.4％and 40.2％,respectively).Less than 2.0％of the Escherichia coli strains were resistant to imipenem and meropenem,while more than 10.0％of the Enterobacter cloacae were resistant to imipenem and meropenem.About 27.1％and 19.6％of the Pseudomonas aeruginosa strains were resistant to imipenem and meropenem,respectively.Acinetobacter baumannii showed high resistance rates to imipenem and meropenem(86.0％and 86.7％,respectively).Conclusions K.pneumoniae and A.baumannii strains isolated from the intensive care unit showed high resistance rates to carbapenems.Other species of Enterobacterales are still susceptible to carbapenems at a low resistance rate.Linezolid-resistant strain was identified in Enterococcus spp.No cross resistance to vancomycin was found in Enterococcus isolates.Therefore,it is necessary to strengthen the surveillance of antimicrobial resistance and use antibiotics reasonably for controlling hospital infections.

AIM:To analyze the association between mobile phone addiction and high myopia among college students.METHODS:We conducted a cross-sectional questionnaire survey in December 2022 on all students of a university in Shaanxi Province, and the questionnaire included socio-demographic characteristics, mobile phone addiction, high myopia, and lifestyle. Binary Logistic regression model was used to analyze the association between mobile phone addiction and high myopia among college students.RESULTS:A total of 19 952 college students were included. The prevalence of high myopia was 7.31%. The rate of mobile phone addiction was 25.68%, and the mobile phone addiction score was 37.59±13.38. The incidence of high myopia among college students with mobile phone addiction was higher than non-mobile phone addiction(P<0.001). After adjusting for socio-demographic characteristics and lifestyle, the risk of high myopia among college students with mobile phone addiction was 1.274 times(95%CI:1.131-1.434)higher than non-mobile phone addiction. For each point increase of total mobile phone addiction score, withdrawal symptoms score, salience score, social comfort score, and mood changes score, the risk of high myopia among college students increased by 0.9%(95%CI:1.005-1.013), 2.0%(95%CI:1.010-1.030), 2.6%(95%CI:1.010-1.043), 4.8%(95%CI:1.030-1.066), and 3.3%(95%CI:1.014-1.052), respectively.CONCLUSION:Mobile phone addiction is significantly associated with the increased risk of high myopia among college students, and early intervention of mobile phone use may reduce the risk of high myopia among college students.

G protein-coupled receptors (GPCRs) are involved in all human physiological systems where they are responsible for transducing extracellular signals into cells. GPCRs signal in response to a diverse array of stimuli including light, hormones, and lipids, where these signals affect downstream cascades to impact both health and disease states. Yet, despite their importance as therapeutic targets, detailed molecular structures of only 30 GPCRs have been determined to date. A key challenge to their structure determination is adequate protein expression. Here we report the quantification of protein expression in an insect cell expression system for all 826 human GPCRs using two different fusion constructs. Expression characteristics are analyzed in aggregate and among each of the five distinct subfamilies. These data can be used to identify trends related to GPCR expression between different fusion constructs and between different GPCR families, and to prioritize lead candidates for future structure determination feasibility.
Animals ; Computational Biology ; Crystallography, X-Ray ; Gene Expression ; Humans ; Plasmids ; genetics ; metabolism ; Protein Domains ; Receptors, Adrenergic, beta-1 ; Receptors, G-Protein-Coupled ; classification ; genetics ; metabolism ; Receptors, Odorant ; metabolism ; Receptors, Purinergic P1 ; genetics ; metabolism ; Sf9 Cells ; Spodoptera