Objective To explore the relationship between serum Niemann-pick type C1 like protein1(NPC1L1)and propro-tein convertase subtilisin/kexin type 9(PCSK9)levels and the risk of type 2 diabetes mellitus(T2DM)in Mongolian residents.Methods A total of 72 Mongolian patients with T2DM treated in Peking University Cancer Hospital,Inner Mongolia Hospital and the Affiliated Hospital of Inner Mongolia Medical University from June 2022 to June 2024 were selected as the T2DM group,and 81 healthy people in the same period were selected as the control group.LASSO model and multivariate Logistic regression model were used to screen the risk factors of disease onset.Multiple linear regression was used to analyze the correlation between NPC1L1 and PCSK9 levels and insulin function.Restricted cubic spline(RCS)model was used to analyze the dose-response relationship between NPC1L1 and PCSK9 levels and the incidence of T2DM,and explored the interaction between NPC1L1 and PCSK9 levels on the incidence of T2DM.Results NPC1L1(3.11±0.80 ng/L)and PCSK9(10.63±0.79 ng/L)in T2DM group were significantly higher than those in the control group(0.52±0.22 ng/L,3.21±0.17 ng/L),and the differences were statisti-cally significant(t=27.982,82.443,all P<0.05).NPC1L1(OR=2.458,95%CI=2.364～2.594,P<0.05)and PCSK9(OR=2.905,95%CI=2.541～3.528)were risk factors for T2DM(all P<0.001).The results of multiple linear regression analysis showed that as NPC1L1 and PCSK9 levels increased,FINS,HbA1c,C-P and OGTT levels also increased accordingly.With the increase of NPC1L1 and PCSK9 levels,insulin function also decreased(all P<0.05).The results of RCS model showed that with the increase of NPC1L1 and PCSK9 levels,the probability of T2DM incidence also increased(χ2=22.334,25.537,all P<0.001).No significant interaction was found between NPC1L1,PCSK9 levels and islet function indexes(P>0.05).Conclusion The levels of NPC1L1 and PCSK9 are closely related to the risk of T2DM in Mongolian residents.With the increase of NPC1L1 and PCSK9 levels,the incidence probability of T2DM increases.

Objective:To investigate the prevalence,related factors,and career implications of occupational burnout among resident physicians during standardized training in Inner Mongolia.Methods:This cross-sectional study used convenience sampling to enroll 2 891 resident physicians,assessing them with a self-developed general information questionnaire,socio-psychological scales,and a universal burnout inventory.Latent profile analysis clas-sified participants based on burnout dimensions,while logistic regression models examined the factors influencing burnout and their relationship with career choices.Results:Resident physicians were divided into low(59.0％),moderate(28.9％),and high(12.1％)burnout subgroups.Logistic regression showed that,compared to the low burnout group,significant risk factors included professional master's students(OR=0.44),working＞70 hours weekly(OR=0.63),＞4 night shifts monthly(OR=0.66),anxiety(mild OR=0.49;moderate OR=0.26;se-vere OR=0.14),depression(mild OR=0.38;moderate OR=0.24;severe OR=0.11),insomnia(mild OR=0.51;moderate OR=0.44;severe OR=0.38),low social support(OR=0.23),and low happiness index(OR=0.42).Male residents(OR=1.25)were less likely to experience burnout.High burnout residents were 5.11 times more likely to quit the medical profession.Conclusion:Training intensity and socio-psychological factors signifi-cantly contribute resident physicians' burnout levels,with severe burnout increase career attrition.

Objective To explore the relationship between serum Niemann-pick type C1 like protein1(NPC1L1)and propro-tein convertase subtilisin/kexin type 9(PCSK9)levels and the risk of type 2 diabetes mellitus(T2DM)in Mongolian residents.Methods A total of 72 Mongolian patients with T2DM treated in Peking University Cancer Hospital,Inner Mongolia Hospital and the Affiliated Hospital of Inner Mongolia Medical University from June 2022 to June 2024 were selected as the T2DM group,and 81 healthy people in the same period were selected as the control group.LASSO model and multivariate Logistic regression model were used to screen the risk factors of disease onset.Multiple linear regression was used to analyze the correlation between NPC1L1 and PCSK9 levels and insulin function.Restricted cubic spline(RCS)model was used to analyze the dose-response relationship between NPC1L1 and PCSK9 levels and the incidence of T2DM,and explored the interaction between NPC1L1 and PCSK9 levels on the incidence of T2DM.Results NPC1L1(3.11±0.80 ng/L)and PCSK9(10.63±0.79 ng/L)in T2DM group were significantly higher than those in the control group(0.52±0.22 ng/L,3.21±0.17 ng/L),and the differences were statisti-cally significant(t=27.982,82.443,all P<0.05).NPC1L1(OR=2.458,95%CI=2.364～2.594,P<0.05)and PCSK9(OR=2.905,95%CI=2.541～3.528)were risk factors for T2DM(all P<0.001).The results of multiple linear regression analysis showed that as NPC1L1 and PCSK9 levels increased,FINS,HbA1c,C-P and OGTT levels also increased accordingly.With the increase of NPC1L1 and PCSK9 levels,insulin function also decreased(all P<0.05).The results of RCS model showed that with the increase of NPC1L1 and PCSK9 levels,the probability of T2DM incidence also increased(χ2=22.334,25.537,all P<0.001).No significant interaction was found between NPC1L1,PCSK9 levels and islet function indexes(P>0.05).Conclusion The levels of NPC1L1 and PCSK9 are closely related to the risk of T2DM in Mongolian residents.With the increase of NPC1L1 and PCSK9 levels,the incidence probability of T2DM increases.

Liquid chip technology is based on liquid carrier. Comparing to the traditional detection methods, it has unique characteristics such as multiple detection ability, high throughput, high sensitivity, good repeatability, less sample and fast analysis. It can analyse proteins, nucleic acids and other biological molecules in liquid. At present, it has been widely used in the laboratory diagnosis of tumors, autoimmune diseases, allergic diseases, cytokines related diseases, as well as infectious diseases. This article discussed the principles, detection performances, clinical applications and future prospects of liquid chip technology.

Objective:To establish a three-dimensional U-shaped residual coordinated attention network (URCA-Net) based on enhanced CT images for small bowel polyp detection and analyze its application effectiveness in intelligent detection of small bowel polyps.Methods:Abdominal CT data of patients with small bowel polyps were collected from the Air Force Medical Center between June 2019 and July 2023. All patients underwent bowel preparation followed by thin-slice spiral CT scanning to obtain enhanced CT arterial phase images. The data were randomly divided into training, validation and test sets in an 8∶1∶1 ratio. The URCA-Net deep learning model was used for small bowel polyp segmentation. The training set was used for model parameter training, the validation set for hyperparameter adjustment and monitoring of model generalization performance and the test set for final unbiased evaluation of the model. An early intelligent detection model for small bowel polyps was constructed, and its performance was evaluated. Evaluation metrics included pixel-level metrics for the segmentation task [Dice Similarity Coefficient (DSC)], as well as sensitivity and precision for polyp detection. A two-stage segmentation strategy was adopted: the first stage segmented the small bowel region to remove external interference, and the second stage performed polyp segmentation within the small bowel region.Results:A total of 78 subjects were included in the study, with an average age of (54±7) years. A total of 23 400 scan images were extracted, including 136 hyperplastic polyps, 298 hamartomatous polyps, 14 adenomatous polyps, and 4 cancerous polyps. On the test set, the average DSC for the first stage (small bowel segmentation) and the second stage (polyp segmentation) was 0.790 and 0.314, respectively. In the second stage task (polyp segmentation based on small bowel region), the polyp segmentation DSC increased to 0.701, with a precision of 0.836 (95% CI: 0.700-0.972) and a sensitivity of 0.759 (95% CI: 0.631-0.888) for polyp detection. Conclusion:The URCA-Net deep learning technique demonstrates good auxiliary diagnostic effectiveness in small bowel polyp detection and can provide a reference for screening and detection of small bowel polyps. The model is capable of generating high-quality segmentation results, which could facilitate evaluating polyp lesion morphology and provide support for downstream tasks such as preoperative navigation and risk prediction.

Dyslipidemia refers to the increased level of TG and total cholesterol in plasma, and also generally refers to other forms of dyslipidemia, which is characterized by non-obvious symptoms in the early stage of the disease, and the first episode is cardiovascular disease. The prevalence of dyslipidemia varies with country, region and population, and the prevalence of dyslipidemia in China is in increase, which is influenced by various risk factors. This paper summarizes the prevalence and risk factors of dyslipidemia and introduces the emerging risk factors of dyslipidemia, such as HIV infection, systemic lupus erythematosus, sarcopenia and environmental problem.

Strengthening the construction of platforms,talents,and disciplines is a crucial strategy to enhance the core competitiveness and promote the high-quality development of national regional medical centers.It outlines the theoretical framework and implementation path for building the"Platform-Talent(Team)-Discipline"develop-ment system during the establishment of the National Regional Medical Center at Henan Children's Hospital Zheng-zhou Children's Hospital.By creating a collaborative innovation platform integrating medical services,education,and research,implementing talent development programs,optimizing mechanisms for talent recruitment,cultivation,and retention,and advancing discipline development projects,the center has achieved significant progress in its core competencies.This exploration provides valuable insights and references for the development of national regional medical centers and the high-quality growth of public hospitals.

Objective:To evaluate the preservation efficacy of 7 non-inactivating virus preservation solutions.Methods:Equal amounts of H1N1 virus were added to 7 commercially available non-inactivating virus preservation solutions, and the samples were stored at -20 ℃, 4 ℃, 25 ℃ and 37 ℃ for 1 hour, 6 hours, 1 day, 3 days, and 5 days. The viral nucleic acid in each simulated sample under different storage conditions was measured using real-time quantitative PCR. The hemagglutination (HA) titer was determined through viral isolation culture and hemagglutination assay, comparing the differences in viral growth activity across different storage solutions and conditions.Results:Except for solution E, the other solutions effectively protected viral nucleic acid at the 4 storage temperatures. In terms of viral activity, solutions A, B, C, and D effectively maintained viral viability. A and B showing the best performance, E and F showed poorer performance, and G performed the worst.Conclusions:Most non-inactivating virus preservation solutions effectively protect viral nucleic acid, but there are significant differences in their ability to maintain viral viability. To ensure optimal virus preservation, it is recommended that medical institutions evaluate the effectiveness of preservation solutions before use.

Objective:To compare the infection status of severe fever with thrombocytopenia syndrome (SFTS) between the non-endemic area (Yixian county, Huangshan city) and the endemic area (Qianshan city, Anqing city) in Anhui province, and to explore the possibility of Yixian county being a natural focus of SFTS, thereby providing a scientific basis for the formulation of prevention and control strategies.Methods:In Xidi town, Yixian county, and Shuihou town, Qianshan city, one administrative village with the highest number of reported cases in the past three years was selected as the study village in each area, along with one control village with no reported cases. The study investigated the total antibody positivity rates of SFTS virus (SFTSV) in natural populations and host animals, as well as the density and virus-carrying rate of the vector ticks. Differences in total antibody positivity rates between the two regions were compared.Results:The total SFTSV antibody positivity rates in the natural population and host animals in the surveyed villages (control villages) of Qianshan city and Yi county were 8.7% and 8.0% (3.3%, 4.1%) and 0.0%, 9.1% (50.0%, 66.7%), respectively. There was no statistically significant difference in the infection rates of the natural population and host animals between the surveyed villages (control villages) in different endemic regions (all P>0.05). In the surveyed villages of Qianshan city and Yi county, the free-living tick densities were 1.4 ticks/hour per flag and 1.7 ticks/hour per flag, respectively; the parasitic tick densities were 0.4 ticks/host and 2.5 ticks/host, respectively; the tick infestation rates were 33.3% and 35.3%, respectively; and the tick density indices were 1.3 ticks/host and 7.2 ticks/host, respectively. Conclusions:The natural populations and host animals in some areas of Yixian county exhibit high SFTSV infection rates, and the tick density is also high, suggesting that the region may have become a natural focus of SFTS. Therefore, it is necessary to further strengthen capabilities in surveillance, diagnosis, and clinical treatment to address the potential risk of SFTS outbreaks.

Objective:To investigate the prevalence,related factors,and career implications of occupational burnout among resident physicians during standardized training in Inner Mongolia.Methods:This cross-sectional study used convenience sampling to enroll 2 891 resident physicians,assessing them with a self-developed general information questionnaire,socio-psychological scales,and a universal burnout inventory.Latent profile analysis clas-sified participants based on burnout dimensions,while logistic regression models examined the factors influencing burnout and their relationship with career choices.Results:Resident physicians were divided into low(59.0％),moderate(28.9％),and high(12.1％)burnout subgroups.Logistic regression showed that,compared to the low burnout group,significant risk factors included professional master's students(OR=0.44),working＞70 hours weekly(OR=0.63),＞4 night shifts monthly(OR=0.66),anxiety(mild OR=0.49;moderate OR=0.26;se-vere OR=0.14),depression(mild OR=0.38;moderate OR=0.24;severe OR=0.11),insomnia(mild OR=0.51;moderate OR=0.44;severe OR=0.38),low social support(OR=0.23),and low happiness index(OR=0.42).Male residents(OR=1.25)were less likely to experience burnout.High burnout residents were 5.11 times more likely to quit the medical profession.Conclusion:Training intensity and socio-psychological factors signifi-cantly contribute resident physicians' burnout levels,with severe burnout increase career attrition.