1.Etiological analysis of clinical cases of live attenuated varicella vaccine
Chinese Journal of Biologicals 2023;36(5):589-593
Objective To analyze the etiology of clinical cases of live attenuated varicella vaccine.Methods 64 samples of varicella vesicle fluid from 49 patients clinically diagnosed as varicella cases in phase Ⅲ clinical trial of live attenuated varicella vaccine in enterprises(the test site was Henan Province) were collected,extracted for DNA,and distinguished for wild-type strains and vaccine strains by PCR and restriction fragment length polymorphism(PCR-RFLP).Genotype was analyzed using the genotyping method recommended at the international(varicella-zoster virus,VZV) nomenclature meeting2008.Results 64 vesicle fluids were all wild-type strains(Pst Ⅰ~+Sma Ⅰ~-BssH Ⅱ~-Nae Ⅰ~-),and no vaccine-related cases occurred.All 49 isolates belonged to Clade 2.Additionally,compared with Clade 2,a synonymous mutation(T→C) in SNP18 082 was detected in all 49 isolates,and a mutation(C→A) in SNP790 was detected in one isolate.Conclusion In the clinical trial of live attenuated varicella vaccine in Henan Province,all the clinical cases were caused by infection of wild-type strain which belonged to Clade 2 genetic branch.
2.Conotoxin RNA isolation and its cDNA synthesis
Yaru QUAN ; Sulan LUO ; Qiujin LIN ; Dongting ZHANGSUN ; Ben ZHANG
Chinese Journal of Marine Drugs 1994;0(02):-
Two methods of different RNA extractions from Conus venom tube and toxin gland of seven cone snail species were performed. ThermoScript~ TM RNase H~ - Transcriptase and AMV Transcriptase were used to synthesize cDNA separately. The cDNAs were used as templates to amplify conotoxin genes by PCR.The optimized RNA isolation and cDNA synthesis methods were obtained according to RT-PCR results, which would be the basis for cloning of new conotoxin genes.
3.Research progess in respiratory syncytial virus receptors
Shuyan LI ; Huijie YANG ; Yaru QUAN ; Changgui LI
Chinese Journal of Microbiology and Immunology 2024;44(2):183-188
Respiratory syncytial virus (RSV) is one of the major pathogens of acute respiratory infections, becoming a huge global burden. Virus-receptor interactions play a key role in the pathogenesis of RSV infection. The distribution of receptors influences the cellular and the tissue tropism of RSV as well as the viral replication and proliferation in the host. However, the RSV receptors are currently unknown, which is one of the reasons that hinders the development of RSV vaccines and therapeutic drugs. In this study, the existing RSV receptors are reviewed with the hope to provide ideas for the research of RSV vaccines and therapeutic drugs.
4.Development and validation on death risk model of Stanford type A aortic dissection based on Cox regression
Zhiran GUO ; Sufang HUANG ; Qiansheng WU ; Yaru XIAO ; Miqi LI ; Quan ZHOU ; Xiaorong LANG ; Danni FENG
Chinese Critical Care Medicine 2021;33(11):1315-1321
Objective:To construct the prediction model of death risk of Stanford type A aortic dissection (AAD) based on Cox proportional risk regression model.Methods:AAD patients who were diagnosed and received surgical treatment admitted to the department of cardiothoracic surgery of Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology from January 1st, 2019 to April 30th, 2020 were enrolled. The general situation, clinical manifestations, pre-hospital data, laboratory examination and imaging examination results of the patients were collected. The observation period was up to the death of the patients or ended on April 30th, 2021. They were divided into the model group and the verification group according to the ratio of 7∶3. Lasso method was used to screen prognostic variables from the data of the modeling group, and multivariate Cox regression analysis was included to construct the AAD death risk prediction model, which was displayed by nomogram. The receiver operator characteristic curve (ROC curve) was used to evaluate the discrimination of the model, the calibration curve to evaluate the accuracy of the model, and the clinical decision curve (DCA) to evaluate the effectiveness of the model.Results:A totel of 454 patients with AAD were finally included, and the mortality was 19.4% (88/454). Lasso regression analysis was used to screen out 10 variables from the data of 317 patients in the model group, and the prediction model of death risk was constructed: 0.511×abdominal pain+1.061×syncope+0.428×lower limb pain/numbness-0.365×emergency admission-1.933×direct admission-1.493×diagnosis before referral+0.662×preoperative systolic blood pressure (SBP) < 100 mmHg (1 mmHg = 0.133 kPa)+0.632×hypersensitivity cardiac troponin I (hs-cTnI) > 34.2 ng/L+1.402×De Bakey type+0.641× pulmonary infection+1.472×postoperative delirium. The area under the ROC curve (AUC) and 95% confidence interval (95% CI) of the AAD death risk prediction model were 0.873 (0.817-0.928), and that of the verification group was 0.828 (0.740-0.916). DCA showed that the net benefit value of the model was higher. The calibration curve showed that there was a good correlation between the actual observation results and the model prediction results. Conclusion:The AAD death risk prediction model based on abdominal pain, syncope, lower limb pain/numbness, mode of admission, diagnosis before referral, preoperative SBP < 100 mmHg, hs-cTnI > 34.2 ng/L, De Bakey type , pulmonary infection, and postoperative delirium can effectively help clinicians identify patients at high risk for AAD, evaluate their postoperative survival and timely adjust treatment strategies.
5.Correlation between 23 metals and metalloids elements in the urine and thyroid function of traffic police
Yaru WANG ; Chao QUAN ; Tian XYU ; Shuxia LIU ; Lizhao YANG ; Ling ZHANG ; Xiayun DAI
Journal of Public Health and Preventive Medicine 2024;35(2):25-29
Objective To investigate the correlation between 23 metals and metalloids elements in the urine and thyroid function indicators in the blood of traffic police. Methods A cross-sectional study was performed to assess the effects of 23 metals and metalloids elements in the urine on blood thyroid function indicators in 166 traffic policemen (122 field staff and 44 internal staff) in Wuhan, Hubei Province. Each subject received an occupational health examination. Results After multiple corrections for false detection rates, in the polymetallic model, the levels of urinary manganese and urinary uranium were positively correlated with the levels of thyroid peroxidase antibody (TPOAb) in the blood (β = 66.57, 95% CI 2.92-130.22, P = 0.040 and β = 62.43, 95% CI 14.37-110.49, P = 0.011), and the level of urinary uranium was positively correlated with thyroid stimulating hormone (TSH) levels in the blood (β = 6.20, 95% CI 2.68-9.72 , P = 0.001). Urinary uranium level was negatively correlated with free thyroxine level in the blood (FT4) (β = -2.03, 95 % CI (-3.67 )- (-0.39), P = 0.015), and urinary lead level was negatively correlated with blood TSH level (β = -4.59, 95% CI (-8.67) - (-0.51), P = 0.027). Conclusion Manganese exposure is related to the increase of TPOAb level in blood, uranium exposure is related to the increase of TPOAb and TSH levels and the decrease of FT4 level in blood, and lead exposure is related to the decrease of TSH level in blood, suggesting that more attention should be paid to the effects of heavy metals on the thyroid of traffic police.