Norepinephrine transporter (NET) transfection leads to significant uptake of iodine-131-1abeled metaiodobenzylguanidine (131I-MIBG) in non-neuroendocrine tumors.However,the use of 131I-MIBG is limited by its short retention time in target cells.To prolong the retention of 131I-MIBG in target cells,we infected hepatocarcinoma (HepG2) cells with Lentivirus-encoding human NET and vesicular monoamine transporter 2 (VMAT2) genes to obtain NET-expressing,NET-VMAT2-coexpressing,and negative-control cell lines.We evaluated the uptake and efflux of 131I-MIBG both in vitro and in vivo in mice bearing transfected tumors.NET-expressing and NET-VMAT2-coexpressing cells respectively showed 2.24 and 2.22 times higher 131I-MIBG uptake than controls.Two hours after removal of 131I-MIBG-containing medium,25.4％ efflux was observed in NET-VMAT2-coexpressing cells and 38.6％ in NET-expressing cells.In vivo experiments were performed in nude mice bearing transfected tumors;results revealed that NET-VMAT2-coexpressing tumors had longer 131I-MIBG retention time than NET-expressing tumors.Meanwhile,NET-VMAT2-coexpressing and NET-expressing tumors displayed 0.54％ and 0.19％,respectively,of the injected dose per gram of tissue 24 h after 131I-MIBG administration.Cotransfection of HepG2 cells with NET and VMAT2 resulted in increased 131I-MIBG uptake and retention.However,the degree of increase was insufficient to be therapeutically effective in target cells.

OBJECTIVETo explore the impacts of antiretroviral treatment on drug use and high risk sexual behaviors among HIV-positive MMT clients.

METHODSA cross-sectional study was conducted in patients undergoing ART (ART-experienced) and patients not undergoing ART (ART-naive) attending MMT in 5 clinics in Yunnan Honghe and Dehong prefectures in 2014. A questionnaire was designed to collect socio-demographic characteristics, ART and MMT information and sexual and drug use behaviors within 3 months before the investigation was conducted. Logistic regression analysis was conducted to identify the predictors for drug use and risky sexual behaviors.

RESULTSA total of 328 cases were included in the analysis, among which 202 were ART-experienced and 126 were ART-naÏve. Among 152 respondents who were sexually active, 61 (40.1%) reported having unprotected sex (UPS) with their regular partners in the prior 3 months. A total of 57.6% (189/328) of the respondents used drugs in the prior 3 months. Multiple logistic regression analysis revealed that younger than 35 years old (OR = 3.57, 95% CI: 1.23-10.37), fertility desire (OR = 4.47, 95% CI: 1.49-13.41), partner being HIV-positive (OR = 4.62, 95% CI: 1.80-11.86), length of MMT attendance less than 5 years (OR = 2.92, 95% CI: 1.14-7.53), agreed that it was necessary to use condom no matter the viral load is high or low (OR = 0.14, 95% CI: 0.04-0.51) were protective factors of UPS in the prior 3 months. Multiple logistic regression analysis revealed that being Han (OR = 0.46, 95% CI: 0.24-0.89), feeling having good health status (OR = 0.39, 95% CI: 0.18-0.85), being enrolled in ART (OR = 0.32, 95% CI: 0.17-0.60) were protective factors for drug use in the prior three months, having contact with drug using friends (OR = 4.41, 95% CI: 2.31-8.29), having experience of missing an MMT dose (OR = 3.47, 95% CI: 1.92-6.29), and not satisfied with current MMT dose (OR = 13.92, 95% CI: 3.24-59.93) were risk factors for drug use during the prior three months.

CONCLUSIONART was not associated with risky sexual behavior and drug use in the prior 3 months in this population. Future interventions should promote ART among this population, and provide education at the same time to prevent the emergence of cross infections and drug-resistant strains.

Anti-HIV Agents ; China ; Condoms ; Cross-Sectional Studies ; HIV Infections ; HIV Seropositivity ; Humans ; Organometallic Compounds ; Protective Factors ; Risk Factors ; Risk-Taking ; Sexual Behavior ; Sexual Partners ; Substance-Related Disorders ; Unsafe Sex

Objective To investigate and analyze the cause of the abnormal results in the individual dose monitoring conducted by this laboratory from 2014 to 2017. Methods Radiologic workers wear personal thermoluminescent dosimeters to monitor the individual dose equivalent H_P(10). A statistical analysis is conducted on the results above the investigation level. Results During the time when our individual dose monitoring was conducted from 2014 to 2017, this laboratory had detected 69 person-time abnormal results in 40 workplaces, of which 83% occurred in the profession of diagnostic roentgenology. 54% of the dose level range from 1.25 to 5.00 mSv. The main causes of the abnormal results include improper wearing of personal dosimeters (67%), unknown causes (20%), increased workload (10%) and equipment maintenance (3.0%)etc. Conclusion Radiation workplaces should enhance the management of radiologic workers, improve their trainings on radiation protection and raise their protection awareness.

A comprehensive profiling of the vaginal microbial communities and their variability enables an accurate description of the microbiome in women.However,there is a lack of studies available on Chinese women.In the present study,the composition of the vaginal microbiota during pregnancy and the 6-week postpartum period of 454 Chinese women was characterized by sequenc-ing the V3-V4 region of the 16S ribosomal RNA(rRNA)gene.The vaginal microbiome showed variations during pregnancy and the postpartum period based on the abortion history,hypertensive disorders,delivery mode,and maternal age.Co-variation of 22 bacterial taxa,including the Lacto-bacillus genus and two of its species,may account for the common characteristics of the vaginal microbiome under scenarios of different medical histories and pregnancy outcomes.In contrast,dis-criminant bacterial species were significantly different between women who had preterm birth(PTB)with and without premature rupture of membranes(PROM),and the community state type(CST)Ⅳ-A without any predominant Lactobacillus species in the microbiota was more prevalent during pregnancy in the PROM-PTB cases,suggesting that specific bacterial species could be considered to distinguish between different types of PTB.By providing data on Chinese women,this study will enrich the knowledge of the human microbiome and contribute to a better understanding of the association between the vaginal microbiome and reproductive health.

Biosafety is an important guarantee of the new coronavirus laboratory test. The accident treatment of sample overflow and sprinkle is a necessary part of the emergency plan for testing activities. Beijing Preventive Medicine Association coordinated biosafety experts of COVID-19 laboratories from Beijing CDC, to write up "The standard for handling of accidents of corona virus disease 2019 sample (T/BPMA 0005-2020)" . The group standard was based on the guidelines of China and WHO, and combined with the practical experience of COVID-19 epidemic and the principle of "scientific, normative, applicable and feasible" . Through all kinds of risk Assessment, it included the spillover of samples caused by the packing of COVID-19 (highly pathogenic) samples, the overflow and sprinkle in the laboratory during the detection operation, and the spillage accident occurred during the transfer of samples in the same building. The standard could guide and standardize the handling methods of accidental overflow and sprinkle that may occur in the SARS-CoV-2 testing laboratories in the city.

Objective To understand the basic information of the number, classification, and distribution of radiation work units in non-medical institutions in Shanxi Province, China, and to analyze the status quo of health management and radiation protection measures for radiation workers, so as to provide a scientific basis for occupational exposure protection in non-medical radiation work units and better protect the occupational health rights and interests of radiation workers. Methods A questionnaire survey was conducted to investigate some non-medical institutions in Shanxi Province. On-site testing was carried out to determine the risk factors for radioactive occupational diseases in the selected non-medical institutions. Results In 220 non-medical institutions, there were 340 radiation devices and 2284 radioactive sources. The rate of individual dose monitoring was 92.7% and the rate of occupational health examination was 87.2%. These devices were equipped with 325 detection instruments for radiation protection, 1316 personal protective equipment, and 730 personal dose alarms. Radiation occupational disease risk factors were investigated in 101 institutions. Conclusion The occupational health management of radiation workers in non-medical institutions in Shanxi Province is generally in line with the national standards. However, there is still a big gap with the level of occupational health management in medical institutions. The health administration departments should clarify the management measures for non-medical institutions and strengthen their supervision and management functions.

This paper aims to detect the antigens in porcine circovirus type 2 (PCV2) vaccines by high-performance size-exclusion chromatography (HPSEC) coupled with multi-angle laser light scattering (MALLS). With purified inactivated PCV2 and PCV2 virus-like particles (VLP) as references, two inactivated vaccines (a and b) and two VLP vaccines (c and d) for PCV2 from four manufacturers were analyzed by HPSEC-MALLS after demulsification. The antigen peaks in HPSEC-MALLS were identified by PCV2 antigen test strips, Western blotting and transmission electron microscope (TEM). The repeatability and linearity of the method were investigated. The results showed the virus antigens in the two inactivated vaccines were eluted at about 13.3 min in HPSEC. The molecular weight of these antigens was 2.61×10⁶ (±4.34%) Da and 2.40×10⁶ (±2.51%) Da, respectively, as calculated by MALLS. The antigen peaks of the two VLP vaccines also appeared at 13.3 min and the molecular weight was 2.09×10⁶ (±2.94%) Da and 2.88×10⁶ (±11.85%) Da, respectively, which was close to the theoretical molecular weight of PCV2. Moreover, an antigen peak of VLP vaccine c was observed at 11.4 min and the molecular weight was 4.37×10⁶ (±0.42%) Da. The antigen was verified to be the dimer of VLP by TEM. Vaccine d and purified Cap VLP antigens were tested repeatedly, and the RSD of the peak area (n=3) was all < 1.5%, indicating that the method was repeatable. The purified VLP were diluted in serial and tested for linearity. The result suggested good linear relationship between the peak area of VLP or VLP aggregates and the protein concentration of the sample with R² of 0.999 and 0.997, respectively. Thus, the method met the requirement for quantification and aggregate analysis. This method is accurate and efficient in in vitro quality evaluation and improvement of PCV2 vaccine.
Animals ; Antibodies, Viral ; Capsid Proteins ; Chromatography, Gel ; Circoviridae Infections/prevention & control* ; Circovirus ; Lasers ; Swine ; Vaccines, Inactivated ; Vaccines, Virus-Like Particle ; Viral Vaccines

OBJECTIVES: The measurement of diabetic foot ulcers is important for the success in diabetic foot ulcer management. At present, it lacks the accurate and convenient measurement tools in clinical. In recent years, artificial intelligence technology has demonstrated the potential application value in the field of image segmentation and recognition. This study aims to construct an intelligent measurement model of diabetic foot ulcers based on the deep learning method, and to conduct preliminary verification. METHODS: The data of 1 042 diabetic foot ulcers clinical samples were collected. The ulcers and color areas were manually labeled, of which 782 were used as the training data set and 260 as the test data set. The Mask RCNN ulcer tissue color semantic segmentation and RetinaNet scale digital scale target detection were used to build a model. The training data set was input into the model and iterated. The test data set was used to verify the intelligent measurement model. RESULTS: This study established an intelligent measurement model of diabetic foot ulcers based on deep learning. The mean average precision@.5 intersection over union (mAP@.5IOU) of the color region segmentation in the training set and the test set were 87.9% and 63.9%, respectively; the mAP@.5IOU of the ruler scale digital detection in the training set and the test set were 96.5% and 83.4%, respectively. Compared with the manual measurement result of the test sample, the average error of the intelligent measurement result was about 3 mm. CONCLUSIONS The intelligent measurement model has good accuracy and robustness in measuring the diabetic foot ulcers. Future research can further optimize the model with larger-scale data samples.
Artificial Intelligence ; Diabetes Mellitus ; Diabetic Foot ; Humans