Objective:To determine the relative correction factor of pre-vitamin D and simplify the calculation method of vitamin D assay.Methods:By studying the calculation method of vitamin D content in drug standards of various countries,HPLC was used to determine the relative correction factor of pre-vitamin D,and the influencing factors of determination were investigated.Results:The relative correction factors of pre-vitamin D at 254 nm and 265nm wavelength were determined by statistical analysis of 7 laboratories in China.Conclusion:Using the pre-vi-tamin D relative correction factor method to calculate the total amount of vitamin D simplified the experimental steps can be simplified by the pre-vitamin D relative correction factor method to calculate the total amount of vitamin D and the random operating errors can be avoided.The method is rapid and accurate,and lay a solid foundation for further improving the standard of vitamin D preparations.

Objective This study aims to investigate the therapeutic effect and mechanism of Naoxinqing on non-alcohol fatty liver disease (NAFLD) induced by a high-fat diet through network pharmacology,molecular docking and in vitro and in vivo experiments. Methods ApoE-/-mice were given a high-fat diet for 12 weeks to establish the NAFLD model,followed by a 12-week Naoxinqing administration. To evaluate the therapeutic effect of Naoxinqing on NAFLD induced by a high-fat diet,biochemical and histopathological experiments were performed,including assessment of blood lipids,liver function,serum inflammatory factors,as well as Hematoxylin and eosin (HE),Oil red O,and Sirius red staining of liver. Subsequently,network pharmacology and molecular docking techniques were employed to predict the key targets of Naoxinqing. Finally,the mechanism of Naoxinqing was validated by Western Blot in HepG2 cells and liver tissue. Results The results of serum biochemistry and liver tissue pathology showed that Naoxinqing can significantly improve high-fat diet-induced hepatic lipid accumulation,hepatocellular injury,and inflammation. Network pharmacology and molecular docking analysis results suggested that Naoxinqing may affect lipid metabolism through the AMP-activated protein kinase (AMPK)/Sirtuin 1 (SIRT1) pathway. Finally,in vitro cell experiment confirmed that the main mechanism of Naoxinqing is to activative the AMPK/SIRT1 pathway,upregulate the expression of downstream carnitine palmitoyltransferase 1 (CPT1A),promote fatty acid oxidation,and ultimately improve NAFLD. Conclusion This study demonstrated that Naoxinqing improved NAFLD by promoting fatty acid oxidation through the activation of the AMPK/SIRT1 pathway.

Objective To investigate the differential expression of miR-124-3p in peripheral blood and clinical sig-nificance of patients with β-thalassemia.Methods Peripheral blood samples were collected from 33 patients with β-thalassemia and 30 healthy controls in Ningde Municipal Hospital Affiliated to Ningde Normal University from June 2021 to August 2022.The expression level of miR-124-3p was detected.Luciferase reporter gene was used to verify the interaction between miR-124-3p and ERF 3'UTR.The correlation between differential expression of miR-124-3p and β-thalassemia was analyzed and the clinical diagnostic value of miR-124-3p for β-thalassemia was eval-uated.Results Compared with healthy control individuals,the expression of miR-124-3p was significantly up-reg-ulated in patients with β-thalassemia(P＜0.001).The genotype of miR-124-3p high expression group was 84.2%β0(16/19),the genotype of low expression group was 55.6%β+(10/18).ROC curve analysis showed that miR-124-3p had predictive efficacy for β-thalassemia(AUC:0.842).Luciferase reporter gene analysis showed that ERF gene was the regulatory target of miR-124-3p.Conclusions The differential expression of miR-124-3p in patients with β-thalassemia is closely related to the genotype and clinical severity of thalassemia,and ERF is negatively reg-ulated by miR-124-3p.miR-124-3p may be an effective diagnostic biomarker for β-thalassemia.

METHODS: We retrospectively collected CT scan data from 276 patients with pathologically confirmed primary bone tumors from 4 medical centers in Guangdong Province between January, 2010 and August, 2021. A convolutional neural network (CNN) was employed as the deep learning architecture. The optimal baseline deep learning model (R-Net) was determined through transfer learning, and an optimized model (S-Net) was obtained through algorithmic improvements. Multivariate logistic regression analysis was used to screen the clinical features such as sex, age, mineralization location, and pathological fractures, which were then connected with the imaging features to construct the deep learning fusion model (SC-Net). The diagnostic performance of the SC-Net model and machine learning models were compared with radiologists' diagnoses, and their classification performance was evaluated using the area under the receiver operating characteristic curve (AUC) and F1 score. RESULTS: In the external test set, the fusion model (SC-Net) achieved the best performance with an AUC of 0.901 (95% CI: 0.803-1.00), an accuracy of 83.7% (95% CI: 69.3%-93.2%) and an F1 score of 0.857, and outperformed the S-Net model with an AUC of 0.818 (95% CI: 0.694-0.942), an accuracy of 76.7% (95% CI: 61.4%-88.2%), and an F1 score of 0.828. The overall classification performance of the fusion model (SC-Net) exceeded that of radiologists' diagnoses. CONCLUSIONS The deep learning fusion model based on multi-center CT images and clinical features is capable of accurate classification of osseous and chondroid matrix mineralization and may potentially improve the accuracy of clinical diagnoses of osteogenic versus chondrogenic primary bone tumors.
Humans ; Deep Learning ; Bone Neoplasms/diagnostic imaging* ; Retrospective Studies ; Tomography, X-Ray Computed/methods* ; Neural Networks, Computer ; Male ; Female ; ROC Curve ; Algorithms

Objective:To evaluate deep learning for differentiating invasion depth of colorectal adenomas under image enhanced endoscopy (IEE).Methods:A total of 13 246 IEE images from 3 714 lesions acquired from November 2016 to June 2021 were retrospectively collected in Renmin Hospital of Wuhan University, Shenzhen Hospital of Southern Medical University and the First Hospital of Yichang to construct a deep learning model to differentiate submucosal deep invasion and non-submucosal deep invasion lesions of colorectal adenomas. The performance of the deep learning model was validated in an independent test and an external test. The full test was used to compare the diagnostic performance between 5 endoscopists and the deep learning model. A total of 35 videos were collected from January to June 2021 in Renmin Hospital of Wuhan University to validate the diagnostic performance of the endoscopists with the assistance of deep learning model.Results:The accuracy and Youden index of the deep learning model in image test set were 93.08% (821/882) and 0.86, which were better than those of endoscopists [the highest were 91.72% (809/882) and 0.78]. In video test set, the accuracy and Youden index of the model were 97.14% (34/35) and 0.94. With the assistance of the model, the accuracy of endoscopists was significantly improved [the highest was 97.14% (34/35)].Conclusion:The deep learning model obtained in this study could identify submucosal lesions with deep invasion accurately for colorectal adenomas, and could improve the diagnostic accuracy of endoscopists.

Objective:To evaluate the clinical efficacy of percutaneous intramyocardial septal radiofrequency ablation (PIMSRA) in the treatment of obstructive hypertrophic cardiomyopathy (HOCM) with mild septal hypertrophy.Methods:Forty-five HOCM patients with mild septal hypertrophy (the maximal left ventricular wall thickness is 15-19 mm) who were treated with PIMSRA between November 2016 to February 2021 in the Hypertrophic Cardiomyopathy Center of Xijing Hospital of Air Force Military Medical University were enrolled, and their clinical datas were collected and analyzed. The clinical symptoms and NYHA functional class before operation, 6 months and 1 year after operation were collected. Interventricular septum thickness, left ventricular outflow tract pressure gradient, left ventricular outflow tract diameter, mitral regurgitation, left ventricular systolic and diastolic function were evaluated by transthoracic echocardiography before operation, 6 months and 1 year after operation, intraoperative complications were monitored and recorded. Postoperative arrhythmias were monitored by routine 12 lead ECG and 24-hour ambulatory ECG.Results:All patients successfully completed PIMSRA procedure.No clinical adverse events such as death, bleeding and stroke occurred during and around the operation.No left bundle branch block, complete atrioventricular block and malignant arrhythmia occurred after the operation. All patients did not need permanent pacemaker implantation.NYHA functional class and clinical symptoms of patients were significantly improved after 6 months compared with values before operation (all P<0.001, respectively), it remained stable for 1 year after operation; Anterior interventricular septum, posterior interventricular septum, maximal left ventricular wall thickness all significantly decreased (all P<0.001, respectively), left ventricular outflow tract diameter widened ( P<0.001), continuous improvement 1 year after operation; left ventricular outflow tract gradient and provoked left ventricular outflow tract gradient all significantly decreased, mitral regurgitation decreased and SAM classification reduced after 6 months compared with values before operation (all P<0.001, respectively); left ventricular end-diastolic diameter widened and left atrial diameter decreased (all P<0.001, respectively), it remained stable for 1 year after operation. Left atrial volume index decreased ( P<0.001), with continuous improvement 1 year after operation; The ratio of early diastolic mitral valve velocity to early diastolic mitral annulus velocity (E/e′) decreased ( P=0.001), it remained stable for 1 year after operation. There were no significant differences in left ventricular end diastolic volume, left ventricular end systolic volume and left ventricular ejection fraction among the three groups (all P>0.05). Conclusions:PIMSRA is effective in the treatment of obstructive hypertrophic cardiomyopathy with mild ventricular septal hypertrophy.

Objective:To investigate the effect of percutaneous intramyocardial septal radiofrequency ablation (PIMSRA) guided by echocardiography on the Lown classification of ventricular arrhythmias in patients with hypertrophic obstructive cardiomyopathy (HOCM).Methods:A total of 85 patients with HOCM who received PIMSRA treatment at Xijing Hospital of Air Force Military Medical University from May 2017 to October 2019 were retrospectively selected. All patients underwent 24-hour Holter examinations before and 1 year after PIMSRA to obtain parameters related to Lown classification. The changes in Lown grades after PIMSRA were analyzed. The patients were divided into improved group and unimproved group according to whether there was significant improvement in Lowen′s grades, and the difference of the parameters related were compared. The influencing factors of the changes in Lown classification were analyzed.Results:Compared with before PIMSRA, there was a significant improvement in the Lown classification after PIMSRA ( P=0.001). The patients with Lown grade Ⅰ increased significantly ( P=0.001), and the patients with grade Ⅲ decreased significantly ( P=0.005). There were no significant changes in patients with Lown grades 0, Ⅱ, and Ⅳ (all P>0.05). The proportion of patients with family history of hypertrophic cardiomyopathy (HCM), the baseline Lown classes, the reduction rate of the maximum left ventricular wall thickness and the reduction rate of the provocative left ventricular outflow tract gradient (LVOTG) were higher in the improved group than the unimproved group (all P<0.05). Multivariate Logistic regression results showed that HCM family history ( OR=3.95, 95% CI=1.34-11.64, P=0.013), baseline Lown classes ( OR=2.01, 95% CI=1.25-3.22, P=0.004) and the reduction rate of the provocative LVOTG gradient ( OR=1.02, 95% CI=1.00-1.04, P=0.041) were independent factors of postoperative Lown classification improvement. Conclusions:The Lown classes of HOCM patients after PIMSRA is significantly improved.HCM family history, the baseline Lown classes, and the reduction rate of postoperative provocative LVOTG are independent influencing factors for the improvement of Lown grade.

【Objective】 To explore the clinical features, treatment and prognosis of paraganglioma of the urinary bladder (PUB). 【Methods】 The clinical data of 41 PUB patients treated at our hospital during Sep.2012 and Sep.2022 were collected. The clinical features, surgical records, pathological reports and follow-up records were retrospectively analyzed. Patients’ survival was estimated with Kaplan-Meier estimator. The differences among groups were compared with Log-rank test. 【Results】 Among the 41 patients, 20 were male and 21 were female, with a median age of 52 years. All patients were treated with surgery, including transurethral resection of bladder tumor (TURBT) in 16 cases, partial cystectomy (PC) in 23 cases, and radical cystectomy (RC) in 2 cases. All patients were followed up for 4.0 to 125.0 months, with a median of 59.0 months. Local recurrence occurred in 5 patients, and distant metastasis occurred in 5 patients. Survival analysis showed that the 5-year overall survival (OS) rate and 5-year relapse-free survival (RFS) rate were 95.7% and 84.8%, respectively. Further analysis showed statistically significant differences in OS and RFS among groups with different maximum tumor diameters, growth patterns, and Ki-67 expressions (P<0.05). For patients with a maximum tumor diameter ≤2.8 cm, there was no significant difference in OS and RFS among different surgical groups. 【Conclusion】 PUB is rare, and a definitive diagnosis is based on pathology. In addition, the main treatment is surgery and the prognosis is good.

Brain-computer interfaces (BCIs) have become one of the cutting-edge technologies in the world, and have been mainly applicated in medicine. In this article, we sorted out the development history and important scenarios of BCIs in medical application, analyzed the research progress, technology development, clinical transformation and product market through qualitative and quantitative analysis, and looked forward to the future trends. The results showed that the research hotspots included the processing and interpretation of electroencephalogram (EEG) signals, the development and application of machine learning algorithms, and the detection and treatment of neurological diseases. The technological key points included hardware development such as new electrodes, software development such as algorithms for EEG signal processing, and various medical applications such as rehabilitation and training in stroke patients. Currently, several invasive and non-invasive BCIs are in research. The R&D level of BCIs in China and the United State is leading the world, and have approved a number of non-invasive BCIs. In the future, BCIs will be applied to a wider range of medical fields. Related products will develop shift from a single mode to a combined mode. EEG signal acquisition devices will be miniaturized and wireless. The information flow and interaction between brain and machine will give birth to brain-machine fusion intelligence. Last but not least, the safety and ethical issues of BCIs will be taken seriously, and the relevant regulations and standards will be further improved.
Humans ; Brain-Computer Interfaces ; Medicine ; Algorithms ; Artificial Intelligence ; Brain

OBJECTIVE To prepare a new antibacterial agent triggered by near infrared light to combat bacterial infection and promote wound healing. METHODS The synthesis of antibacterial agengt was supported by the results from transmission electron microscopy, Ultraviolet-visible absorption spectroscopy and Fourier-transform infrared spectroscopy. The antibacterial agent was irradiated under near infrared(NIR) laser with different concentrations to study the photothermal properties. Release of ciprofloxacin from the antibacterial agent was determined under different conditions. Observed antibacterial activity of the agent by spread plate method and bacterial growth curve. The infected wound was made on the back skin of mice, and the mice were treated with different methods to observe the healing process of the wound and study its influence on the wound healing. RESULTS The synthesized antimicrobial agent could be heated repeatedly without attenuation under near-infrared light, and could still reach a high temperature of 45 ℃ at a low concentration of 125 µg·mL-1. At the same time, it could promote the release of loaded antibiotics, and the release rate reached 86%. Compared with 200 µg·mL-1 solution obtained by physical mixing of polydopamine and ciprofloxacin, the synthesized antimicrobial agent combined with near-infrared light showed more excellent antibacterial ability, and the bacteriostatic rate against Escherichia coli and Staphylococcus aureus was 99.9%. Antimicrobial agents with concentrations of only 0.312 5 µg·mL-1 and 1.25 µg·mL-1 combined with near infrared light significantly inhibited the growth of Escherichia coli and Staphylococcus aureus. Through the mouse skin defect model infected by Staphylococcus aureus, it was proved that the synthetic antibacterial agent still had excellent antibacterial effect in practical application, and could accelerate the healing of infected wound. CONCLUSION The synthesized antimicrobial agents have excellent antibacterial effect in vitro, and still have good antibacterial effect and promote wound healing under the conservative power irradiation without causing skin damage in vivo.