Objective To investigate the prevalence rates of diabetes, impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and related factors in the university staff. Methods 617 subjects were selected from 1 519 cases with the fasting blood glucose level ≥5.6 mmol / L in the annually physical examination among 3 851 population in a university community. All 617 subjects were taken the blood glucose and insulin test for the fasting and 2 hour after 75 g glucose intake. The fasting lipids, BUN and Cr were determined. The demographic data including height, weight, waist circumference and blood pressure was also collected. Results The numbers of normal glucose tolerance (NGT), IFG, IGT, IFG+IGT and newly diagnosed DM were confirmed in 374 (60.62%), 60 (9.72%), 59 (9.56%), 41 (6.65%) and 83 (13.45%); totally, 243 (39.38%) cases with abnormal glucose metabolism. The highest DM prevalence was found in the group with BMI ≥28 kg / m2. In the group with hypertriglyceridemia, prevalence of DM, IFG and IFG +IGT was 12.50%, 8.33% and 8.33%. In the group with hypercholesteremia and hypertriglyceridemia together, prevalence of DM, IFG+IGT, IFG and IGT was 18.87%, 7.17%, 11.32% and 12.83%. DM prevalence increased with the higher triglycerides level. No differences of HOMA-IR was found among groups of DM (0.80?0.82), IFG (0.64?0.72), IFG+IGT (0.61?0.77), IGT (0.35?0.68), but all these obviously higher than that of NGT group (0.17?0.80). No differences of HOMA-B among the IGT (3.97?0.69), NGT (3.95?0.78), IFG (3.84?0.72), IFG+IGT (3.80?0.78) groups, but all these higher than that of NGT(3.69?0.88)group. Conclusion About 40% of these subjects in the university population had their blood glucose ≥5.6 mmol/L. In these subjects with blood glucose ≥5.6 mmol/L, about 40% of them had abnormal blood glucose level, including 13.45% diabetic patients. The highest prevalence of IFG, IGT, IFG+IGT was found in the group aged 60～70, the highest prevalence of DM in the group aged 70～80 and increased paralleled with the BMI and aging, was associated with lipids disorder, particularly with hypertriglyceridemia. IR existed in the pre-diabetes state and was worst in the DM, with most severe ? cell function failure.

Objective To compare and analyze the metabolic control with the islet B cell function and the diabetic complications after a 3-year treatment in type 2 diabetic patients.Methods The T2DM patients were investigated who finished 3 years of treatment.The following measurements or determination was done:height,weight,waist,hips,blood pressure at standing and lying position,fasting glucose and insulin,glucose and insulin 2 h after taking food,HbA_1c,TC,TG,HDL-C,LDL-C,Cr,albuminuria and retinopathy.Results Totally 233 male and 178 female(56.53?10.33)yrs patients were analysized.The hypotensive,hypoglycemic and lipids agents were increased obviously and the number of the patients with insulin treatment increased too.HbA_1c was decreased,but no significant differences for the blood pressure and blood cholesterol,triglycerides after 3-year treatment.The fasting and post-meal insulin level,insulin resistance and the B-cell function index decreased significantly.Meanwhile,the patients with albuminuria and retinopathy increased from 15% and 26% to 23% and 33%.Conclusion Type 2 diabetic patients have not controlled the blood glucose,lipids and the blood pressure satisfactorily even if the agents for the blood sugar,lipids and blood pressure lowing are increased.Insulin resistance decreases but B cell function failure aggravates.The intensified therapy on the target should be paid more attention to.

Objective To investigate the clinical efficacy of acupoint catgut embedding in treating breast cystic hyperplasia of blood stasis-phlegm pattern.Methods One hundred and three patients with breast cystic hyperplasia of blood stasis-phlegm pattern were randomly allocated to a treatment group of 53 cases and a control group of 50 cases. The treatment group received acupoint catgut embedding and the control group took Rupi Sanjie granules. The symptom/sign scores and the qi stagnation transformation score were recorded and sex hormone levels were measured in the two groups before and after 12 weeks of treatment. The clinical therapeutic effects were compared between the two groups.Results The cure rate and the total efficacy rate were 50.9% and 92.5%, respectively, in the treatment group and 46.0% and 90.0%, respectively, in the control group. There were no statistically significant differences in the cure rate and the total efficacy rate between the two groups (P>0.05). There were statistically significant post-treatment differences in the symptom/sign scores (pain, mass hardness, mass range, mass size and accompanying symptoms scores) between the two groups (P<0.05). At the three-month and six-month follow-ups, there were statistically significant differences in the pain, mass range and accompanying symptoms scores as compared with at the end of treatment in the treatment group, and between the treatment and control groups (P<0.05). There was a statistically significant pre-/post-treatment difference in the qi stagnation transformation score in the two groups (P<0.01,P<0.05). There was a statistically significant difference in the qi stagnation transformation score at the three-month and six-month follow-ups compared with at the end of treatment in the treatment group (P<0.05). There was a statistically significant difference in the qi stagnation transformation score between the treatment and control groups at the end of treatment and at the three-month and six-month follow-ups (P<0.05). There was a statistically significant pre-/post-treatment difference in the E2 content in the two groups (P<0.05). There were statistically significant pre-/post-treatment differences in the P and PRL contents in the treatment groups (P<0.05).Conclusion Acupoint catgut embedding is an effective way to treat breast cystic hyperplasia of blood stasis-phlegm pattern.

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.

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.

Carotenoids are secondary metabolite responsible for colored pigments in plants and microbes (Li et al., 2022). They are a class of C₄₀ tetraterpenoids consisting of eight isoprenoid units, and can be classified into carotenes and xanthophylls on the basis of their functional groups (Saini et al., 2015). Carotenes can be linear (phytoene, phytofluene, and ζ‍-carotene) or branched (β‍-carotene and α‍-carotene). Xanthophylls comprise β,β‍-xanthophylls (β‍-cryptoxanthin, zeaxanthin, violaxanthins, and neoxanthin) and β,ε‍-xanthophylls (α-cryptoxanthin, α-carotene, and lutein). Citrus fruits are complex sources of carotenoids, which are the principal pigments responsible for the typical orange color of most types (Chen, 2020). The difference in total carotenoid content and the diversity of carotenoid isomer proportion also accounts for other colors of citrus fruits, such as yellow, red, and pink (Chen, 2020).
Citrus/metabolism* ; Carotenoids ; Xanthophylls ; Lutein/metabolism* ; Zeaxanthins/metabolism* ; Fruit

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