BackgroundSchizophrenia is a complex， chronic and severe mental disorder， and the pathogenesis of which has not been fully elucidated. The abnormalities in lipid metabolism and circulating metabolomes have already been implicated in the pathophysiology of schizophrenia. However， available studies have mainly focused on a few liposomes and circulating metabolites， failing to systematically reveal the mediating role of circulating metabolomes in the causal relationship between liposomes and schizophrenia. ObjectiveTo uncover mediating role of circulating metabolomes in the causal relationship between liposomes and schizophrenia， thereby providing biomarkers and potential therapeutic targets for the prevention and treatment of schizophrenia. MethodsData from Genome-Wide Association Studies （GWAS） were analyzed， taking data on 179 liposomes as exposure variables， data on 123 circulating metabolites as intermediate variables， and data on schizophrenia as outcome variable. A two-step， two-sample Mendelian randomization analysis was conducted using the inverse-variance weighted （IVW）， MR- Egger， Weighted median， and Weighted mode methods to study the causal relationship of liposomes with schizophrenia and the mediating role of circulating metabolomes in the relationship. ResultsIVW model identified 8 lipids associated with schizophrenia without reverse causality. There were 5 circulating metabolomes strongly associated with schizophrenia. Acetate played a significant mediating role in the causal relationship between phosphatidylinositol （18：0_18：2） and schizophrenia （P=0.023， 95% CI： 0.036~0.532）， accounting for 28.4% of the causal relationship. ConclusionThis study demonstrates a causal relationship between liposomes and schizophrenia， with phosphatidylinositol being a risk factor in the progression of schizophrenia， and acetate playing a mediating role in this process. ［Fund by National Natural Science Foundation of China General Program （number， 82271546）； Shanxi Merit Funding for Overseas Students Sci-Tech Activities Project （number， 20240041）； Shanxi Province Science and Technology Innovation Leading Talent Team Project （number， 202304051001049）； Shanxi Scientific Research Foundation for the Returned Overseas Chinese Scholars （number， 2022-190）； "Six Measures for Health Care Prosperity" Specialized Research Program （number， Y2024008）］

Objective To analyze the epidemiological characteristics of mumps in Guangxi from 2012 to 2024, and to provide a scientific basis for formulating prevention and control strategies. Methods Descriptive epidemiological methods were used to analyze the incidence data of mumps in Guangxi from 2012 to 2024. Results A total of 159 873 mumps cases were reported from 2012 to 2024 in Guangxi, with an average annual reported incidence of 25.41/100 000, and no death. Mumps occurred every month, with the peak incidence mainly concentrated in April to July and October to January of the next year. There were 96,118 male cases (29.43 /100 000), and 63 755 female cases (21.07 /100 000). The male to female ratio was 1.40:1, and the difference between male and female was significant (χ²=4 321.276，P＜0.05). The annual incidence of mumps showed a certain periodic change, with the incidence peak and trough alternating every 4 - 5 years. The majority of patients were under 15 years old, accounting for 85.32% of the total number of cases. The patients mainly included students, preschool children and scattered children. The highest average incidence was in Nanning City with 40 231 cases (42.08/100 000), and the lowest was in Qinzhou City with 3 466 cases (8.16/100 000). From 2012 to 2024, a total of 210 mumps outbreaks with 4 483 cases were reported in Guangxi. Conclusion The incidence of mumps in Guangxi from 2012 to 2024 shows a periodic change and obvious seasonality. People under 15 years old are the key group at risk of mumps. The prevention and control of the epidemic of mumps in schools and kindergartens should be strengthened. It is suggested to carry out long-term monitoring of mumps as well as immune effect research, and continue to maintain a high vaccination rate of 2 doses of mumps-containing vaccines.

Differentiated liposarcoma is a rare connective tissue malignancy in adults that mostly occurs in the extremities and retroperitoneum, with a tendency to aggressiveness and recurrence, and the ten-year survival rate of about 10%. Clinically, dedifferentiated liposarcoma of the pharynx has been reported to be rare abroad and only one case has been reported in China. Clinical symptoms are mainly foreign body sensation in the pharynx, which can be easily misdiagnosed as benign tumors. Pathological diagnosis is the main examination tool for this kind of disease, and immunohistochemistry and FISH test can help to differentiate it from other tumors. This article presents a case of a male patient with dedifferentiated liposarcoma of the hypopharynx, who had a foreign body sensation in the pharynx for more than 1 month, and underwent supported laryngoscopic pharyngeal lesion resection after completing the preoperative relevant examinations and postoperative radiation therapy, with postoperative pathology returned as dedifferentiated liposarcoma. The present postoperative follow-up was 12 months without recurrence. Therefore, accurate diagnosis and timely treatment are extremely important for the prognosis of this disease.
Humans ; Male ; Liposarcoma/diagnosis* ; Hypopharyngeal Neoplasms/diagnosis* ; Middle Aged ; Hypopharynx ; Adult

Medical linear accelerator is precisely large-scale medical equipment with high integration and complex construction.In use,it is easy to occur fault,and the maintenance process is tedious,and the cost of maintenance is higher.The servicers with medical engineering technique should proficiently know and grasp the structure and principle of this kind of equipment,and respond routine fault,and ensure the quality of accelerator in clinical application.This article analyzed a case of interlocking fault of stand power supply(STPS)of 23EX medical linear accelerator in the department of medical engineering of the Affiliated People's Hospital of Ningbo University.According to the performance of accelerator's fault,and combining the work principle of occurring STPS interlocking fault,the pulse width modulation(PWM)board in auxiliary electronic cabinet of accelerator was located.Its schematic diagram was analyzed and checked.Finally,it was determined that the reason was the field effect tube of PWM board was broken down.The fault was eliminated after the components of occurring fault was replaced.We can increase maintenance efficiency and technical level,and reduce the cost of maintenance for hospital,and ensure its quality in clinical application through quickly locate and resolve faults.

Objective:To establish an automatic classification approach for bone marrow cells based on microscopic hyperspectral imaging and three-dimensional spectral convolutional neural network (Spec-CNN).Methods:The research type is establishment of methodology. The study included 306 newly diagnosed patients' bone marrow smears under Wright's staining from the Department of Hematology of the First Medical Center of the PLA General Hospital from November 1st, 2013 to April 30th, 2024. The high-spectrum data and 4k image data of bone marrow cells were simultaneously collected using a microscopic hyperspectral-4k optical path integrated imaging system (with a spectral resolution of 400—1 000 nm). The high-spectrum data was used for model training, while the 4k image data recognized by morphologists was only used as a reference for labeling the high-spectrum data. The high-spectrum data set was divided into training set, validation set and test set in a ratio of 14∶6∶5. The training set and validation set were used to train and fine-tune the Spec-CNN model, and the test set was used to evaluate the model performance. The sensitivity, specificity ,accuracy ,and Kappa coefficient were calculated for comparing the manual annotation results as gold standard with the intelligent identification results of the Spec-CNN model. Five non-data set samples were used for external validation.Results:The acquired hyperspectral data and 4k imaging dataset comprised of 32 categories and 64 800 bone marrow cells. In the test set, the Spec-CNN model demonstrated weighted-average indicators on classification metrics across 32 cell types: sensitivity 87.79%, specificity 99.31%, and accuracy 98.78%, and Kappa coefficient 0.869. For external validation, the mean correct identification rate of bone marrow cells reached 83.28%.Conclusion:We successfully established an automatic classification method of bone marrow cells based on microscopic hyperspectral imaging and three-dimensional Spec-CNN. This method has a good automatic classification ability for 32 types of bone marrow nucleated cells, which has a certain auxiliary effect on improving the diagnosis efficiency of blood diseases for bone marrow morphologists.

Objective:To preliminarily evaluate the efficacy and safety of a domestically developed bilateral interventional ultrasound renal denervation (RDN) system in patients with uncontrolled hypertension despite antihypertensive medication.Methods:A multicenter, single-arm trial was conducted. Patients with uncontrolled hypertension (≥2 antihypertensive drugs) were enrolled from April 2023 to April 2024 at the Second Affiliated Hospital of Chongqing Medical University, West China Hospital of Sichuan University, and the Second Affiliated Hospital of Harbin Medical University. RDN was performed using the UltraCure? bilateral interventional ultrasound system via femoral or brachial artery access. Multi-segmental "quadrant-based" ablation was performed in bilateral main renal arteries and branches/accessory arteries (diameter≥4 mm). Primary endpoints were changes in office systolic blood pressure (SBP) and 24-hour daytime SBP at 2-and 6-months post-procedure. The primary safety endpoints included the incidence of major adverse events, device-related adverse events, and puncture site complications.Results:Ten patients, mean aged 47.1 years, including 9 male, successfully completed RDN. At 2 and 6 months post-procedure, office SBP decreased by (19.7±15.2) mmHg ( P=0.002, 1 mmHg=0.133 kPa) and (13.8±13.9) mmHg ( P=0.013) from baseline, while the 24-hour daytime SBP decreased by (13.4±10.6) mmHg ( P=0.004) and (11.2±9.2) mmHg ( P=0.004). Apart from one case of a limited distal renal artery dissection, no other serious device/procedure-related adverse events were observed. At 6-month follow-up, the estimated glomerular filtration rate remained stable ((85.3±18.3) ml·min -1·1.73 m -2 vs. (82.3±19.2) ml·min -1·1.73 m -2, P=0.41). No renal artery stenosis was detected. Conclusions:The domestic interventional ultrasound RDN system could effectively reduce office and ambulatory blood pressure in patients with uncontrolled hypertension, demonstrating a favorable safety profile. Long-term efficacy requires confirmation through large-scale randomized controlled trials.

Objective:To explore the clinical value of plasma von Willebrand factor antigen(VWF:Ag)and VWF activity(VWF:GPIbM)based on ABO blood group in the risk assessment of deep vein thrombosis(DVT).Methods:A total of 163 patients with DVT who sought medical treatment from March 2021 to December 2022 were selected as the case group,and 135 healthy volunteers during the same period were selected as the control group.The differences of ABO blood groups,plasma VWF:Ag and VWF:GPIbM levels between the two groups were compared.Receiver operating characteristic(ROC)curves were used to evaluate the clinical value of VWF testing in predicting DVT events.Logistic regression analysis was applied to identify risk factors for DVT.Results:The levels of plasma VWF:Ag and VWF:GPIbM in the DVT group were significantly higher than those in the control group both overall and across ABO blood type subgroups(P＜0.01).Within the DVT group,the levels of plasma VWF:Ag and VWF:GPIbM in patients with non-O blood type were significantly higher than those with blood type O[VWF:Ag:219.74％±63.64％vs 162.21％±56.03％,P＜0.01;VWF:GPIbM:228.10％(185.15％,249.10％)vs 148.25％(116.48％,225.48％),P＜0.01].The area under the ROC curve(AUC)of VWF:Ag for predicting DVT events was 0.855,with a cut-off value of 142.4％,sensitivity of 82.2％and specificity of 72.6％;the AUC of VWF:GPIbM was 0.861,with a cut-off value of 141.2％,sensitivity of 84.7％,and specificity of 71.1％.Univariate analysis showed that both VWF:Ag and VWF:GPIbM were influencing factors for DVT events(P＜0.05).Multivariate logistic regression analysis indicated that VWF:Ag＞142.4％(OR=13.961,95％CI:7.654-25.464,P＜0.01)and VWF:GPIbM＞141.2％(OR=17.615,95％CI:9.155-33.892,P＜0.01)were independent risk factors for DVT events.Conclusion:Levels of VWF:Ag and VWF:GPIbM are significantly elevated in non-O blood type DVT patients.VWF:Ag＞142.4％and VWF:GPIbM＞141.2％are independent risk factors for DVT events.VWF testing based on ABO blood group aids in the precision prevention and control of DVT.

Objective:To explore the clinical value of plasma von Willebrand factor antigen(VWF:Ag)and VWF activity(VWF:GPIbM)based on ABO blood group in the risk assessment of deep vein thrombosis(DVT).Methods:A total of 163 patients with DVT who sought medical treatment from March 2021 to December 2022 were selected as the case group,and 135 healthy volunteers during the same period were selected as the control group.The differences of ABO blood groups,plasma VWF:Ag and VWF:GPIbM levels between the two groups were compared.Receiver operating characteristic(ROC)curves were used to evaluate the clinical value of VWF testing in predicting DVT events.Logistic regression analysis was applied to identify risk factors for DVT.Results:The levels of plasma VWF:Ag and VWF:GPIbM in the DVT group were significantly higher than those in the control group both overall and across ABO blood type subgroups(P＜0.01).Within the DVT group,the levels of plasma VWF:Ag and VWF:GPIbM in patients with non-O blood type were significantly higher than those with blood type O[VWF:Ag:219.74％±63.64％vs 162.21％±56.03％,P＜0.01;VWF:GPIbM:228.10％(185.15％,249.10％)vs 148.25％(116.48％,225.48％),P＜0.01].The area under the ROC curve(AUC)of VWF:Ag for predicting DVT events was 0.855,with a cut-off value of 142.4％,sensitivity of 82.2％and specificity of 72.6％;the AUC of VWF:GPIbM was 0.861,with a cut-off value of 141.2％,sensitivity of 84.7％,and specificity of 71.1％.Univariate analysis showed that both VWF:Ag and VWF:GPIbM were influencing factors for DVT events(P＜0.05).Multivariate logistic regression analysis indicated that VWF:Ag＞142.4％(OR=13.961,95％CI:7.654-25.464,P＜0.01)and VWF:GPIbM＞141.2％(OR=17.615,95％CI:9.155-33.892,P＜0.01)were independent risk factors for DVT events.Conclusion:Levels of VWF:Ag and VWF:GPIbM are significantly elevated in non-O blood type DVT patients.VWF:Ag＞142.4％and VWF:GPIbM＞141.2％are independent risk factors for DVT events.VWF testing based on ABO blood group aids in the precision prevention and control of DVT.

Medical linear accelerator is precisely large-scale medical equipment with high integration and complex construction.In use,it is easy to occur fault,and the maintenance process is tedious,and the cost of maintenance is higher.The servicers with medical engineering technique should proficiently know and grasp the structure and principle of this kind of equipment,and respond routine fault,and ensure the quality of accelerator in clinical application.This article analyzed a case of interlocking fault of stand power supply(STPS)of 23EX medical linear accelerator in the department of medical engineering of the Affiliated People's Hospital of Ningbo University.According to the performance of accelerator's fault,and combining the work principle of occurring STPS interlocking fault,the pulse width modulation(PWM)board in auxiliary electronic cabinet of accelerator was located.Its schematic diagram was analyzed and checked.Finally,it was determined that the reason was the field effect tube of PWM board was broken down.The fault was eliminated after the components of occurring fault was replaced.We can increase maintenance efficiency and technical level,and reduce the cost of maintenance for hospital,and ensure its quality in clinical application through quickly locate and resolve faults.

Objective:To establish an automatic classification approach for bone marrow cells based on microscopic hyperspectral imaging and three-dimensional spectral convolutional neural network (Spec-CNN).Methods:The research type is establishment of methodology. The study included 306 newly diagnosed patients' bone marrow smears under Wright's staining from the Department of Hematology of the First Medical Center of the PLA General Hospital from November 1st, 2013 to April 30th, 2024. The high-spectrum data and 4k image data of bone marrow cells were simultaneously collected using a microscopic hyperspectral-4k optical path integrated imaging system (with a spectral resolution of 400—1 000 nm). The high-spectrum data was used for model training, while the 4k image data recognized by morphologists was only used as a reference for labeling the high-spectrum data. The high-spectrum data set was divided into training set, validation set and test set in a ratio of 14∶6∶5. The training set and validation set were used to train and fine-tune the Spec-CNN model, and the test set was used to evaluate the model performance. The sensitivity, specificity ,accuracy ,and Kappa coefficient were calculated for comparing the manual annotation results as gold standard with the intelligent identification results of the Spec-CNN model. Five non-data set samples were used for external validation.Results:The acquired hyperspectral data and 4k imaging dataset comprised of 32 categories and 64 800 bone marrow cells. In the test set, the Spec-CNN model demonstrated weighted-average indicators on classification metrics across 32 cell types: sensitivity 87.79%, specificity 99.31%, and accuracy 98.78%, and Kappa coefficient 0.869. For external validation, the mean correct identification rate of bone marrow cells reached 83.28%.Conclusion:We successfully established an automatic classification method of bone marrow cells based on microscopic hyperspectral imaging and three-dimensional Spec-CNN. This method has a good automatic classification ability for 32 types of bone marrow nucleated cells, which has a certain auxiliary effect on improving the diagnosis efficiency of blood diseases for bone marrow morphologists.