OBJECTIVE: To analyze the acupoint selection patterns and core prescriptions of acupuncture for polycystic ovary syndrome (PCOS) using data mining, and to explore the molecular mechanisms of core acupoints through network acupuncture medicine. METHODS: The randomized controlled trials (RCTs) on acupuncture for PCOS published from January 1, 2004 to July 21, 2024 were retrieved from CNKI, VIP, Wanfang, PubMed, and Web of Science databases. R software (version 4.4.0) was used for acupoint frequency and association rule analysis to identify core acupoint prescriptions. Potential targets were predicted via the STITCH and Swiss Target Prediction databases, and a "core prescription-active compounds-targets- PCOS" network was constructed. Cytoscape 3.7.1 was applied to build protein-protein interaction (PPI) networks of potential targets of core acupoint prescriptions. Key therapeutic targets were subjected to gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses using the DAVID and Microbioinformatics platforms. RESULTS: A total of 176 RCTs were included, covering 208 prescriptions and 89 acupoints. The five most frequently used acupoints were Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1), Zusanli (ST36) and Zhongji (CV3). Association rule analysis yielded 13 core acupoint combinations, with Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1) and Zusanli (ST36) as the core prescription. Twenty-seven active compounds were involved, with 852 potential therapeutic targets, among which 208 targets overlapped with PCOS-related targets. Network acupuncture medicine analysis suggested that the core prescription may act through targets such as estrogen receptor 1 (ESR1), proto-oncogene tyrosine-protein kinase Src (SRC), signal transducer and activator of transcription 3 (STAT3), peroxisome proliferator-activated receptor gamma (PPARG), and RAC-alpha serine/threonine-protein kinase (AKT1). GO and KEGG analyses indicated that the main pathways included the hypoxia-inducible factor 1 (HIF-1) signaling pathway, phosphatidylinositol 3-kinase-protein kinase B (PI3K-AKT) signaling pathway, and advanced glycation end products-receptor for advanced glycation end products (AGE-RAGE) signaling pathway, involving processes such as signal transduction, receptor complex formation, and cytokine activity. CONCLUSION The core acupoint prescription for PCOS might exert therapeutic effects through multiple targets and pathways, providing a theoretical basis for mechanistic research on acupoint prescriptions.
Humans ; Acupuncture Therapy ; Data Mining ; Acupuncture Points ; Polycystic Ovary Syndrome/metabolism* ; Female ; Protein Interaction Maps ; Randomized Controlled Trials as Topic

Amoenucles A-F (1-6), six previously undescribed nucleoside derivatives, and two known analogs (7 and 8) were isolated from the culture of Aspergillus amoenus TJ507. Their structures were elucidated through spectroscopic analysis, single-crystal X-ray crystallography, and chemical reactions. Notably, 3 and 4 represent the first reported instances of nucleosides with an attached pyrrole moiety. Of particular significance, the absolute configuration of the sugar moiety of 1-4 was determined using nuclear magnetic resonance (NMR), electric circular dichroism (ECD) calculations, and a hydrolysis reaction, presenting a potentially valuable method for confirming nucleoside structures. Furthermore, 1, 2, and 5-8 exhibited potential tumor necrosis factor α (TNF-α) inhibitory activities, which may provide a novel chemical template for the development of agents targeting autoimmune and inflammatory diseases.
Aspergillus/chemistry* ; Tumor Necrosis Factor-alpha/antagonists & inhibitors* ; Molecular Structure ; Nucleosides/isolation & purification* ; Crystallography, X-Ray ; Animals ; Humans ; Mice ; Magnetic Resonance Spectroscopy

Objective:To explore the cost control effect and cost-shifting effect of Diagnosis-Intervention Packet(DIP)payment reform on inpatient coronary heart disease patients.Methods:Z City,a national pilot city for DIP,is taken as a case study.It utilizes inpatient claims data and the propensity scoring matching-difference in differences method to evaluate the impact of DIP payment reform on total medical expenses,Out-of-Pocket(OOP),the OOP proportion,self-paid Category B expenses,the proportion of self-paid Category B expenses,Category C expenses,and the proportion of Category C expenses for coronary heart disease inpatients.Results:After the DIP reform,the total medical expenses per inpatient coronary heart disease patient significantly decreased(β=-0.127,P＜0.01).Regarding cost-shifting,the OOP expenses(β=0.108,P＜0.05),the OOP proportion(β=0.055,P＜0.01),self-paid Category B expenses(β=0.239,P＜0.01),the proportion of self-paid Category B expenses(β=0.030,P＜0.01),and the proportion of Category C expenses significantly increased(β=0.026,P＜0.01),while there was no significant change in Category C expenses.Conclusion:The DIP reform significantly reduced the total medical expenses per inpatient case of coronary heart disease.At the same time,the reform shifted costs from within the scope of the insurance policy to outside the policy's coverage,with a stronger shift observed from Category B to Category C expenses.

Objective:To explore the cost control effect and cost-shifting effect of Diagnosis-Intervention Packet(DIP)payment reform on inpatient coronary heart disease patients.Methods:Z City,a national pilot city for DIP,is taken as a case study.It utilizes inpatient claims data and the propensity scoring matching-difference in differences method to evaluate the impact of DIP payment reform on total medical expenses,Out-of-Pocket(OOP),the OOP proportion,self-paid Category B expenses,the proportion of self-paid Category B expenses,Category C expenses,and the proportion of Category C expenses for coronary heart disease inpatients.Results:After the DIP reform,the total medical expenses per inpatient coronary heart disease patient significantly decreased(β=-0.127,P＜0.01).Regarding cost-shifting,the OOP expenses(β=0.108,P＜0.05),the OOP proportion(β=0.055,P＜0.01),self-paid Category B expenses(β=0.239,P＜0.01),the proportion of self-paid Category B expenses(β=0.030,P＜0.01),and the proportion of Category C expenses significantly increased(β=0.026,P＜0.01),while there was no significant change in Category C expenses.Conclusion:The DIP reform significantly reduced the total medical expenses per inpatient case of coronary heart disease.At the same time,the reform shifted costs from within the scope of the insurance policy to outside the policy's coverage,with a stronger shift observed from Category B to Category C expenses.

Objective:To explore the cost control effect and cost-shifting effect of Diagnosis-Intervention Packet(DIP)payment reform on inpatient coronary heart disease patients.Methods:Z City,a national pilot city for DIP,is taken as a case study.It utilizes inpatient claims data and the propensity scoring matching-difference in differences method to evaluate the impact of DIP payment reform on total medical expenses,Out-of-Pocket(OOP),the OOP proportion,self-paid Category B expenses,the proportion of self-paid Category B expenses,Category C expenses,and the proportion of Category C expenses for coronary heart disease inpatients.Results:After the DIP reform,the total medical expenses per inpatient coronary heart disease patient significantly decreased(β=-0.127,P＜0.01).Regarding cost-shifting,the OOP expenses(β=0.108,P＜0.05),the OOP proportion(β=0.055,P＜0.01),self-paid Category B expenses(β=0.239,P＜0.01),the proportion of self-paid Category B expenses(β=0.030,P＜0.01),and the proportion of Category C expenses significantly increased(β=0.026,P＜0.01),while there was no significant change in Category C expenses.Conclusion:The DIP reform significantly reduced the total medical expenses per inpatient case of coronary heart disease.At the same time,the reform shifted costs from within the scope of the insurance policy to outside the policy's coverage,with a stronger shift observed from Category B to Category C expenses.

Objective:To explore the cost control effect and cost-shifting effect of Diagnosis-Intervention Packet(DIP)payment reform on inpatient coronary heart disease patients.Methods:Z City,a national pilot city for DIP,is taken as a case study.It utilizes inpatient claims data and the propensity scoring matching-difference in differences method to evaluate the impact of DIP payment reform on total medical expenses,Out-of-Pocket(OOP),the OOP proportion,self-paid Category B expenses,the proportion of self-paid Category B expenses,Category C expenses,and the proportion of Category C expenses for coronary heart disease inpatients.Results:After the DIP reform,the total medical expenses per inpatient coronary heart disease patient significantly decreased(β=-0.127,P＜0.01).Regarding cost-shifting,the OOP expenses(β=0.108,P＜0.05),the OOP proportion(β=0.055,P＜0.01),self-paid Category B expenses(β=0.239,P＜0.01),the proportion of self-paid Category B expenses(β=0.030,P＜0.01),and the proportion of Category C expenses significantly increased(β=0.026,P＜0.01),while there was no significant change in Category C expenses.Conclusion:The DIP reform significantly reduced the total medical expenses per inpatient case of coronary heart disease.At the same time,the reform shifted costs from within the scope of the insurance policy to outside the policy's coverage,with a stronger shift observed from Category B to Category C expenses.

Objective:To explore the cost control effect and cost-shifting effect of Diagnosis-Intervention Packet(DIP)payment reform on inpatient coronary heart disease patients.Methods:Z City,a national pilot city for DIP,is taken as a case study.It utilizes inpatient claims data and the propensity scoring matching-difference in differences method to evaluate the impact of DIP payment reform on total medical expenses,Out-of-Pocket(OOP),the OOP proportion,self-paid Category B expenses,the proportion of self-paid Category B expenses,Category C expenses,and the proportion of Category C expenses for coronary heart disease inpatients.Results:After the DIP reform,the total medical expenses per inpatient coronary heart disease patient significantly decreased(β=-0.127,P＜0.01).Regarding cost-shifting,the OOP expenses(β=0.108,P＜0.05),the OOP proportion(β=0.055,P＜0.01),self-paid Category B expenses(β=0.239,P＜0.01),the proportion of self-paid Category B expenses(β=0.030,P＜0.01),and the proportion of Category C expenses significantly increased(β=0.026,P＜0.01),while there was no significant change in Category C expenses.Conclusion:The DIP reform significantly reduced the total medical expenses per inpatient case of coronary heart disease.At the same time,the reform shifted costs from within the scope of the insurance policy to outside the policy's coverage,with a stronger shift observed from Category B to Category C expenses.

Objective:To explore the cost control effect and cost-shifting effect of Diagnosis-Intervention Packet(DIP)payment reform on inpatient coronary heart disease patients.Methods:Z City,a national pilot city for DIP,is taken as a case study.It utilizes inpatient claims data and the propensity scoring matching-difference in differences method to evaluate the impact of DIP payment reform on total medical expenses,Out-of-Pocket(OOP),the OOP proportion,self-paid Category B expenses,the proportion of self-paid Category B expenses,Category C expenses,and the proportion of Category C expenses for coronary heart disease inpatients.Results:After the DIP reform,the total medical expenses per inpatient coronary heart disease patient significantly decreased(β=-0.127,P＜0.01).Regarding cost-shifting,the OOP expenses(β=0.108,P＜0.05),the OOP proportion(β=0.055,P＜0.01),self-paid Category B expenses(β=0.239,P＜0.01),the proportion of self-paid Category B expenses(β=0.030,P＜0.01),and the proportion of Category C expenses significantly increased(β=0.026,P＜0.01),while there was no significant change in Category C expenses.Conclusion:The DIP reform significantly reduced the total medical expenses per inpatient case of coronary heart disease.At the same time,the reform shifted costs from within the scope of the insurance policy to outside the policy's coverage,with a stronger shift observed from Category B to Category C expenses.

Objective:To investigate the prediction of the tumor proliferation antigen(Ki-67) expression status in breast cancer patients based on ultrasound radiomics combined with clinicopathologic features.Methods:Breast cancer patients who underwent 2D ultrasound and Ki-67 examination from January 2018 to February 2022 in Changzhou Second People′s Hospital, Nanjing Medical University were retrospectively analyzed. Among them, 427 patients from Chengzhong campus were randomly divided into training and validation sets in the ratio of 8∶2, and 229 patients from Yanghu campus were used as an independent external test set. Radiomics features were extracted from the region of interest of 2D ultrasound images, and the Mann-Whitney U test, recursive feature elimination, and minimum absolute shrinkage and selection operators were used to perform feature dimensionality reduction and to establish a radiomics score(Rad-score). Subsequently, single/multifactor logistic regression regression analyses were used to construct a joint prediction model based on Rad-score and clinicopathological features. Model performance and utility were assessed using the subject operating characteristic area under the curve (AUC), calibration curve, and decision curve analyses. Results:The AUCs of the joint model for predicting Ki-67 expression status in breast cancer in the training, validation, and test sets were 0.858, 0.797, and 0.802, respectively, which were superior to those of the radiomics (0.772, 0.731, and 0.713) and clinical models (0.738, 0.750, and 0.707). Calibration curve and decision curve analyses indicated that the joint model had good calibration and clinical value.Conclusions:A joint model based on ultrasound radiomics and clinicopathological features can effectively predict the Ki-67 expression status of breast cancer, which is expected to become a non-invasive tool for Ki-67 detection and provide clinicians with an important auxiliary diagnostic and therapeutic decision-making basis.

Objective:To evaluate the feasibility of 3D reconstruction techniques based on multi-depth cameras for daily patient positioning in radiotherapy.Methods:Through region of interest (ROI) extraction, filtering, registration, splicing and other processes, multi-depth cameras (Intel RealSense D435i) were used to fuse point clouds in real-time manner to obtain the real optical 3D surface of patients. The reconstructed surface was matched with the external contour of the localization CT to complete the positioning. In this article, the feasibility of the system was validated by using multiple models. Clinical feasibility of 5 patients with head and neck radiotherapy, 10 cases of chest radiotherapy and 5 cases of pelvic radiotherapy was also validated. The data of each group were analyzed by paired t-test. Results:The system running time was 0.475 s, which met the requirement of real-time monitoring. The six-dimensional registration errors in the model experiment were (1.00±0.74) mm, (1.69±0.69) mm, (1.36±0.87) mm, 0.15°±0.14°, 0.25°±0.20°, 0.13°±0.13° in the x, y, z, rotational, pitch and roll directions, respectively. In the actual patient positioning, the mean positioning errors were (0.77±0.51) mm, (1.24±0.67) mm, (0.94±0.76) mm, 0.61°±0.41°, 0.69°±0.55°, and 0.52°±0.35° in the x, y, z, rotational, pitch and roll directions, respectively. The translational error was less than 2.8 mm, and the positioning error was the largest in the pelvic region. Conclusions:Real-time 3D reconstruction techniques based on multi-depth cameras is applicable for patient positioning during radiotherapy. The method is accurate in positioning and can detect the small movement of the patient's position, which meets the requirements of radiotherapy.