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Depression is a common and recurrent mental disease, with complex etiology, which is mainly affected by genetic, metabolic and social factors. The specific pathogenesis is still unclear. In recent years, the hypothesis of inflammatory factors related to depression has attracted wide attention of researchers. A large number of clinical experimental studies have shown that depression is related to the increase of proinflammatory factors in central and peripheral blood. The inflammatory factors in peripheral blood can spread in the brain through the way of specific transporters across the blood-brain barrier, and activate or participate in the brain inflammatory response, and ultimately affect the neuronal activity and neurotransmitter release in the emotional regulation area of the brain, which in turn leads to depressive symptoms. This paper summarizes the relationship between inflammatory factors and depression and its possible mechanism, which provides reference for further prevention and control, clinical treatment and scientific research of depression.From 2018 to 2019, 3 453 cases of high-risk population were screened by the Cancer Screening Program in Urban China (CanSPUC) in Hebei Province, with the age of (53.94±8.00). 147 and 686 cases of breast cancer positive and suspicious positive patients were found, with the positive rate and suspicious positive rate of 4.26% and 19.87% respectively. The suspicious positive rate of 45-49 years old age group was the highest (28.32%), and the positive rate of over 70 years old age group was the highest (7.32%). The positive detection rate of mammography combined with ultrasound was 5.16%, which was higher than that of ultrasound alone (2.46%) (χ²=30.28,P less then 0.001) or mammography alone (3.06%) (χ²=14.56,P less then 0.001).Objective Explore the establishment of a fast, stable and sensitive high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method for detecting the level of m6A modification in RNA and its application. Methods The degree of m6A in RNA can be expressed as the ratio of m6A and adenosine (A) in concentration, which can be determined by ESI source positive ion multiple reaction monitoring (MRM) mode. The established method was verified by analyzing three quality control samples (m6A 4, 40, 400 nmol/L; A 40, 400, 4 000 nmol/L) with three different concentrations of low, medium, and high. The method was used to detect the degree of m6A in RNA from mouse spleen T cells treated in different ways. The t test was used to compare the differences between the two groups of data. Results The established method had a good Linearity (R2>0.99) in a range of 1-500 nmol/L for m6A and 10-5 000 nmol/L for A. The limit of detection (LOD) was 1 nmol/L for m6A and 10 nmol/L for A. The recoveries were between 98.9% and 116.5%. The intra-day (n=5) RSDs and the inter-day (n=15, 5 days) RSDs were 2.4%-9.5% and 4.4%-9.6%, respectively. And this method was used to detect the degree of m6A in the RNA from mouse spleen T cells cultured in different conditions. The results showed that the m6A modification level in the RNA of primary CD8+T cell was 0.271 5±0.017 9, and the m6A modification level in the RNA of primary CD8+T cell with IL-27 was 0.251 7±0.015 0, indicating that primary CD8+T cells have a higher level of RNA methylation. Conclusion This research has established a fast, simplemethylation degree in RNA with HPLC-MS/MS. click here This method is easy to be popularized and is suitable for the detection of large quantity of samples, and of great significance in analyzing the relationship between methylation and diseases.Objective The purpose of this study was to investigate the IgG antibody levels of whooping cough, diphtheria, and tetanus in pregnant women in Nanshan District. Methods From January to March 2019, 495 pregnant women who met the inclusion criteria in a hospital in Nanshan District, Shenzhen were selected as the survey subjects. The enzyme-linked immunosorbent assay was used to detect serum levels of pertussis, diphtheria, and tetanus IgG antibodies and we compared the differences in antibody levels of pregnant women with different characteristics. Results The maternal age was (29.23±4.08) years old. The geometric mean concentration of pertussis antibody was 2.589 (1.172-4.953) IU/ml, 1.01% (5 cases) of pregnant women had pertussis antibody concentration ≥ 40 IU/ml, and 75.15% (372 cases) of pregnant women had pertussis antibody concentration less then 5 IU/ml. The GMC value and antibody positive rate of diphtheria in pregnant women were 0.024(0.009-0.065) IU/ml and 72.53% (359 cases), respectively. The GMC value and antibody positive rate of tetanus in pregnant women were 0.014 (0.006-0.034) IU/ml and 53.74% (266 cases), respectively. There was no statistical difference in the antibody level and antibody positive rate among pregnant women of diphtheria and tetanus, respectively. Conclusion The concentration of antibodies against pertussis, diphtheria, and tetanus in pregnant women are all at a low level, which is not enough to protect themselves from disease infection.Objective To explore the value of information technology in management of tuberculosis patients. Methods The data comes from the case reports of Ningxia tuberculosis patients in the national tuberculosis special report system from March to December 2019 and the data of Ningxia tuberculosis information management platform. Using the computer Information and communication technologies and the Internet platform, unified data collection and data interface standards,Hospital Information System(HIS) of 18 (90%)TB specific Hospitals in Ningxia 22 counties are linked together, forming a closed loop management System, to realize Information interconnection, compare the patients' diagnostic rate before and after the application, and standardize treatment differences. Results The system automatically collected and uploaded valid data for 2 918 times, and the consistency rate of uploaded data was 94.8%.The clinical diagnostic rate was 18.23% (1 154/6 332) before and 39.1% (914/2 335) after using the AI imaging screening subsystem (χ²=235.
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