1.Quantitative detection of Rabies virus antibody by chemiluminescent immunoassay
Chinese Journal of Clinical Laboratory Science 2006;0(02):-
Objective To establish chemiluminescent immunoassay(CLIA) for quantitative detection of Rabies virus antibody in human serum.Method The purified antigen was coated on the microplate,pairing with alkaline phosphatase(ALP)-labeled antigen and luminescence substrate CSPD,then the double antigen sandwich CLIA was established.Results The sensitivity of the assay was 0.2IU/ml.The linear range was from 0 IU/ml to 200 IU/ml.The precision was less than 10%.The analytical recovery rate was from 90% to 110%.Conclusion The CLIA is a simple,sensitive,special and repeatable method for detection of Rabies virus antibody.It was suitable for clinical application.
2.Relationship between coexpression of EGFR and ERK2 and activation of ERK2 in lung squamous cell carcinomas
Wensheng YAN ; Lanying SONG ; Qiwan LIANG ; Yan FANG
Chinese Journal of Pathophysiology 2000;0(12):-
AIM: To evaluate the relationship between coexpression of EGFR and ERK2 on the level of protein and mRNA and activation of ERK2 in lung squamous cell carcinomas (SCC). METHODS: Twenty cases of lung squamous cell carcinomas and their paired normal lung tissues were studied. The expression of mRNA and protein of EGFR and ERK2 was measured by reverse transcription PCR (RT-PCR) and Western blotting, respectively. The activity of ERK2 was detected by immunoprecipitation and kinase reaction. RESULTS: The results showed that the expression of EGFR mRNA and protein in paired normal lung tissues was hardly detected by RT-PCR and Western blotting, respectively, but in 20 cases of lung SCCs their expression was upregulated significantly. Compared with normal lung tissues, the expression of ERK2 mRNA and protein in lung cancer tissues was also upregulated significantly, the latter increased about 3-5-fold, and the activity of ERK2 in lung SCCs was also markedly activated. CONCLUSIONS: These data highlight that the overexpression of ERK2 and EGFR protein occurs simultaneously in lung SCCs, which mainly results from the increasing level of gene transcription, the increased activity of ERK2 in lung cancer tissues perhaps attributes to the upregulation of coexpression of EGFR and ERK2. [
3.Determination of Four Sulfa Antibiotics in Groundwater, Soil and Excreta Samples Using High Performance Liquid Chromatography
Aixia ZHOU ; Xiaosi SU ; Song GAO ; Yuling ZHANG ; Xueyu LIN ; Lanying ZHANG ; Yonglei AN
Chinese Journal of Analytical Chemistry 2014;(3):397-402
A method was developed for the determination of four sulfa antibiotics in groundwater, soil and excreta using solid phase micro extraction disks coupled with high performance liquid chromatography. The influence of eluent, different solid phase micro extraction membranes on the recovery of sulfa antibiotics in groundwater was investigated and it was found that when using the mixture of methyl alcohol and 1 . 0% formic acid as eluent, HLB ( divinyl benzene-N-vinyl pyrrolidone polymer ) as extraction membranes, an optimal enrichment effect was obtained. Different pretreatment methods for the 3 kinds of samples abovementioned were also examined. It was found that the signal response values obtained by using mixture of methyl alcohol and 1 . 0% formic acid as base solution of standard or sample solution was higher 8-10 times than that by using methyl alcohol only. Under the optimal conditions, good linear relationships were obtained in the sulfa antibiotics concentrations of 0 . 005-10 . 0 mg/L with the correlation coefficients>0 . 9999;The detection limits of sulfathiazole ( ST ) , sulfadiazine ( SM ) , sulfamethazine ( SM2 ) , sulfamethoxazole ( SMX ) were 1 . 08 , 3. 56, 4. 63 and 1. 84 ng/L(S/N=3), respectively. The enrichment factors for four sulfa antibiotics were 4000 times with solid phase micro extraction disks. The RSD of matrix spiked samples were 0. 1%-0. 4%(n=7). The proposed method was applied to the determination of the four sulfa antibiotics in groundwater, soil and excreta with spiked recoveries of the four sulfa antibiotics in the range of 69 . 80%-117 . 60%.
4.Analysis on clinical distribution and antimicrobial resistance of common gram-positive cocci
Shulan CHEN ; Juan LU ; Lanying CUI ; Wenbo LIU ; Xiyao SONG ; Jinying ZHAO
Chinese Journal of Practical Internal Medicine 2001;0(05):-
Objective To investigate the clinical distribution and antimicrobial resistance of common gram-positive cocci in author's hospital.Methods Identification of these bacteria were done with API analysis system,disc diffusion tests were employed to study the antimicrobial resistance.Results A total of 25 052 clinical isolates were collected in 8 years,of gram-positive cocci accounted for 7907(31.9%).Staphylococcus aureus(3549 strains,44.9%),enterococcus(1760 strains,22.3%)and coagulase-negative staphylococcus(1558 strains,19.7%)were the most common isolates.The prevalence of MRSA increased from 59.6% in 2001 to 76.3% in 2008,and MRSCoN increased from 64.2% to 77.0%.The resistant rate of MRSA to gentamicin,clindamycin,erythromycin and levofloxacin were over 90%,to trimethoprim/sulfamethoxazole and chloramphenicol were less than 20%.The resistant rate of MSSA to gentamicin,levofloxacin,trimethoprim/sulfamethoxazole and chloramphenicol were low 20%,and to beta-lactamase antibacterial agents except penicillin were 0.The resistant rates of MRSCoN to all antimicrobial agents were lower than MRSA,but to trimethoprim/sulfamethoxazole(71.2%)was higher than MRSA(21.2%).No staphylococcus strains were resistant to vancomycin,teicoplanin and linezolid.2.1% enterococcus feacium and 4.4% other enterococcus were resistant to vancomycin.No strains of enterococcus were found resistant to teicoplanin and linezolid.Conclusion The resistant rate of gram-positive cocci were increasing obviously,the prevalence of MRS was high.Vancomycin,teicoplanin and linezolid were the most active agents against severe infection induced by multidrug-resistant gram-positive cocci.
5.Association of polymorphisms in transcription factor 7-like 2(TCF7L2) gene with type 2 diabetes in Chinese Han population
Zhihong WANG ; Suhua ZHANG ; Zengchan WANG ; Lilin GONG ; Rong LI ; Wei REN ; Ruizhi ZHENG ; Maorong WANG ; Wenlu ZHANG ; Qingfeng CHENG ; Song LIANG ; Xiaoli WAN ; Lanying ZHANG ; Jun HE
Chinese Journal of Endocrinology and Metabolism 2009;25(2):139-143
Objective To study the association of transcription factor 7-like 2(TCF7L2)polymorphisms with tvpe 2 diabetes mellitus in Chinese Han population. Methods Two polymorphisms (rs7903146 and rs12255372)of TCF7L2 gene were genotyped in 446 patients with type 2 diabetes mellitus(T2DM group)and 303 normal subiects (NC group) by PCR-restriction fragment length polymorphism(PCR-RFLP).Waist circumference.body mass index,plasma glucose,serum insulin,lipid profiles,high-sensitivity C-reactive protein and non-esterified fatty acid were measured.Homeostasis model assessment of insulin resistance(HOMA-IR)and β-cell function(HOMA-β)were calculated.Results (1) In T2DM group,T allele frequency and CT,TY geno tvpe frequeneies of rs7903146 were significantly higher than those in NC group(0.093,0.150,0.018 vs 0.043, 0.079,0.003,respectively,a11 P
6.Metabolomics analysis of serum and urine in patients with traumatic spinal cord injury
Jiating SONG ; Jianmin CHEN ; Kewen WANG ; Lanying HUANG ; Senming XU ; Yuchang GUI ; Jianwen XU
Chinese Journal of Tissue Engineering Research 2024;28(32):5085-5090
BACKGROUND:Traumatic spinal cord injury primarily relies on scale assessment and imaging examinations in clinical practice.However,there are limitations in predicting the prognosis of the injury.Therefore,the use of metabolomics technology for biomarker screening is significant for estimating the extent of damage,injury and recovery,as well as developing new therapies. OBJECTIVE:To characterize the metabolic features of patients with traumatic spinal cord injury using metabolomics technology and explore potential biomarkers and disrupted metabolic pathways. METHODS:Serum and urine samples were collected from 20 patients with traumatic spinal cord injury(observation group)and 10 healthy subjects(control group).Metabolites were analyzed and multivariate statistical analysis was then performed for data processing to screen differential metabolites.Metabolic pathway enrichment was performed using MetaboAnalyst software.Logistic regression was applied to construct a biomarker combination model,and its relationship with the American Spinal Injury Association grading was analyzed. RESULTS AND CONCLUSION:Significant differences in 160 and 73 metabolites were detected in the serum and urine samples of the two groups,respectively.Pathway enrichment analysis showed evident disturbances in lipid metabolism after traumatic spinal cord injury,including sphingolipid,arachidonic acid,α-linolenic acid,and arachidonic acid metabolism,as well as glycerophospholipid and inositol phosphate biosynthesis.The combination of two identified biomarkers,telmisartan and quercetin glycoside,showed a correlation with the American Spinal Injury Association grading in both serum and urine levels.Thus,metabolomics technology provides assistance in further understanding the pathological mechanisms of traumatic spinal cord injury and screening therapeutic targets.The identified metabolic biomarker combination may serve as a reference for assessing the severity of traumatic spinal cord injury.