Triple-negative breast cancer (TNBC) remains a refractory subtype of breast cancer due to its resistance to various therapeutic strategies. In this study, we introduce a "brake-release and accelerator-pressing" approach to engineer a microneedle patch embedded with copper-doped Prussian blue nanoparticles (Cu-PB) and the ferroptosis inducer sorafenib (SRF) for raised chemodynamic (CDT)/photothermal (PTT) combination therapy against TNBC. Upon transdermal insertion, the dissolving microneedles swiftly disintegrate and facilitate the release of SRF. Under gentle external light exposure, copper ions (Cu²⁺) and iron ions (Fe³⁺) were liberated from Cu-PB. The direct chelation of Cu²⁺ and the indirect suppression by SRF, collectively attenuate glutathione peroxidase 4 (GPX4) enzymatic function, destabilizing the cellular redox equilibrium (referred to as the "brake-release" strategy). The release of Cu²⁺ and Fe³⁺ ions instigates a Fenton/Fenton-like reaction within tumor cells, further yielding hydroxyl radicals and elevating reactive oxygen species (ROS) concentrations (referred to as the "accelerator-pressing" strategy). This overwhelming ROS accumulation, coupled with the impaired clearance of resultant lipid peroxides (LPO), ultimately triggers a robust ferroptosis cell death response. In summary, this study presents an innovative combinatorial therapeutic strategy based on dual-ferroptosis induction for TNBC, implying a promising therapeutic platform for developing ferroptosis-centered treatments for this aggressive breast cancer subtype.

ObjectiveTo establish a polymerase chain reaction-restriction fragment length polymorphism （PCR-RFLP） method for rapid distinguishing Periplocae Cortex from Acanthopanacis Cortex and Lycii Cortex， so as to avoid the influence of genetic confusion on drug safety. MethodThe DSS-tagged sequences of Periplocae Cortex were obtained from the Chloroplast Genome Information Resource （CGIR） and analyzed to find the enzymatic cleavage sites that were different from those of Acanthopanacis Cortex and Lycii Cortex. The specific enzymatic cleavage site， Cla I， of Periplocae Cortex was selected， on the basis of which the primers for PCR-RFLP were designed. Furthermore， the factors such as annealing temperature， number of cycles， Taq enzyme， PCR instruments， and enzymatic treatment time that may influence PCR-RFLP were studied. The established PCR-RFLP method was applied to the identification of Periplocae Cortex， Acanthopanacis Cortex， and Lycii Cortex samples produced in different regions. ResultThe PCR-RFLP at the annealing temperature of 59 ℃ and with 40 cycles showed clear bands of the samples. When the enzyme digestion time was 30 min. The reaction produced the target bands at about 140 bp and 290 bp for both Periplocae Cortex and its original plant and only a band at about 430 bp for Acanthopanacis Cortex， Lycii Cortex， and their original plants. The method can accurately distinguish Periplocae Cortex from its confounders Acanthopanacis Cortex and Lycii Cortex. ConclusionThe PCR-RFLP method for distinguishing Periplocae Cortex from Acanthopanacis Cortex and Lycii Cortex was established. It has high stability， sensitivity， and applicability， providing a reference for the quality control of Periplocae Cortex， Acanthopanacis Cortex， and Lycii Cortex.

Objective:To investigate the risk factors of pleural effusion after spinal separation surgery for patients with spinal metastatic tumors.Methods:A total of 427 patients with spinal metastatic tumors from January 2014 to January 2022 in the Second Affiliated Hospital of Zhejiang University School of Medicine were retrospectively analyzed. There were 252 males and 175 females, with an average age of 59±12 years (range, 15-87 years). All patients underwent separation surgery. Based on the chest CT within 1 month after surgery, the volume of pleural effusion was measured individually by reconstruction software. Pleural effusion was defined as small volume (0-500 ml), moderate volume (500-1 000 ml), and large volume (above 1 000 ml). Baseline data and perioperative clinical outcomes were compared between the groups, and indicators with statistically significant differences were included in a binary logistic regression analysis to determine the independent risk factors for the development of pleural effusion after isolation of spinal metastatic cancer. Receiver operating characteristic (ROC) curves were conducted to calculate the area under the curve (AUC) for each independent risk factor.Results:All patients successfully completed the operation. Among the 427 patients, there were 35 cases of large pleural effusion, 42 cases of moderate pleural effusion, and 350 cases of small pleural effusion. There were significant differences in tumor size (χ 2=9.485, P=0.013), intraoperative blood loss ( Z=-2.503, P=0.011), blood transfusion ( Z=-2.983, P=0.003), preoperative total protein ( Z=2.681, P=0.007), preoperative albumin ( Z=1.720, P= 0.085), postoperative hemoglobin ( t=2.950, P=0.008), postoperative total protein ( Z=4.192, P<0.001), and postoperative albumin ( t=2.268, P=0.032) in the large pleural effusion group versus the small and moderate pleural effusion group. Logistic regression analysis showed that decreased preoperative albumin ( OR=0.89, P=0.045) and metastases located in the thoracic spine ( OR=4.01, P=0.039) were independent risk factors for the occurrence of large pleural effusion after separation surgery. The ROC curve showed that the AUC and 95% CI for preoperative albumin, lesion location, and the combined model were 0.637 (0.54, 0.74), 0.421 (0.36, 0.48), and 0.883 (0.81, 0.92). The combined predictive model showed good predictive value. Conclusion:The volume of pleural effusion can be measured individually and quantitatively based on chest CT. Decreased preoperative albumin and metastases located in the thoracic spine are independent risk factors for the occurrence of large pleural effusion after separation surgery. The combined prediction of the two factors has better predictive efficacy.

Objective:By analyzing the curative cost of treatment for children in Beijing,it provided recommendations for further optimizing child health management policies in Beijing.Methods:The System of Health Accounts 2011(SHA 2011)was used to calculate the CCE of children in Beijing's medical institutions.Results:The CCE of children under the age of 15 in Beijing were 92.29 billion yuan,97.54 billion yuan,and 105.72 billion yuan in 2017-2019,with an average annual growth rate of 4.67%;the financing structure of children's CCE is dominated by family health expenditure,accounting for about 65%;children's outpatient and inpatient CCE primarily flew to secondary and tertiary hospitals;respiratory diseases account for the largest share of the disease categories of the CCE,with a share of 25.96%,followed by digestive diseases with a share of 10.26%.Conclusion:The financing structure needs to be optimized to lessen the financial burden of medical care on the families of child patients;the capacity of grass-roots pediatric services should be strengthened,and reasonably guide the flow of adolescent patients to institutions;financial investment should be increased for pre-pregnancy,prenatal screening and other preventive services.It needs to give careful consideration to children's safety education and encourage the implementation of children's commercial accidental injury insurance.

Objective:By analyzing the curative cost of treatment for children in Beijing,it provided recommendations for further optimizing child health management policies in Beijing.Methods:The System of Health Accounts 2011(SHA 2011)was used to calculate the CCE of children in Beijing's medical institutions.Results:The CCE of children under the age of 15 in Beijing were 92.29 billion yuan,97.54 billion yuan,and 105.72 billion yuan in 2017-2019,with an average annual growth rate of 4.67%;the financing structure of children's CCE is dominated by family health expenditure,accounting for about 65%;children's outpatient and inpatient CCE primarily flew to secondary and tertiary hospitals;respiratory diseases account for the largest share of the disease categories of the CCE,with a share of 25.96%,followed by digestive diseases with a share of 10.26%.Conclusion:The financing structure needs to be optimized to lessen the financial burden of medical care on the families of child patients;the capacity of grass-roots pediatric services should be strengthened,and reasonably guide the flow of adolescent patients to institutions;financial investment should be increased for pre-pregnancy,prenatal screening and other preventive services.It needs to give careful consideration to children's safety education and encourage the implementation of children's commercial accidental injury insurance.

Objective:By analyzing the curative cost of treatment for children in Beijing,it provided recommendations for further optimizing child health management policies in Beijing.Methods:The System of Health Accounts 2011(SHA 2011)was used to calculate the CCE of children in Beijing's medical institutions.Results:The CCE of children under the age of 15 in Beijing were 92.29 billion yuan,97.54 billion yuan,and 105.72 billion yuan in 2017-2019,with an average annual growth rate of 4.67%;the financing structure of children's CCE is dominated by family health expenditure,accounting for about 65%;children's outpatient and inpatient CCE primarily flew to secondary and tertiary hospitals;respiratory diseases account for the largest share of the disease categories of the CCE,with a share of 25.96%,followed by digestive diseases with a share of 10.26%.Conclusion:The financing structure needs to be optimized to lessen the financial burden of medical care on the families of child patients;the capacity of grass-roots pediatric services should be strengthened,and reasonably guide the flow of adolescent patients to institutions;financial investment should be increased for pre-pregnancy,prenatal screening and other preventive services.It needs to give careful consideration to children's safety education and encourage the implementation of children's commercial accidental injury insurance.

Objective:By analyzing the curative cost of treatment for children in Beijing,it provided recommendations for further optimizing child health management policies in Beijing.Methods:The System of Health Accounts 2011(SHA 2011)was used to calculate the CCE of children in Beijing's medical institutions.Results:The CCE of children under the age of 15 in Beijing were 92.29 billion yuan,97.54 billion yuan,and 105.72 billion yuan in 2017-2019,with an average annual growth rate of 4.67%;the financing structure of children's CCE is dominated by family health expenditure,accounting for about 65%;children's outpatient and inpatient CCE primarily flew to secondary and tertiary hospitals;respiratory diseases account for the largest share of the disease categories of the CCE,with a share of 25.96%,followed by digestive diseases with a share of 10.26%.Conclusion:The financing structure needs to be optimized to lessen the financial burden of medical care on the families of child patients;the capacity of grass-roots pediatric services should be strengthened,and reasonably guide the flow of adolescent patients to institutions;financial investment should be increased for pre-pregnancy,prenatal screening and other preventive services.It needs to give careful consideration to children's safety education and encourage the implementation of children's commercial accidental injury insurance.

Objective:By analyzing the curative cost of treatment for children in Beijing,it provided recommendations for further optimizing child health management policies in Beijing.Methods:The System of Health Accounts 2011(SHA 2011)was used to calculate the CCE of children in Beijing's medical institutions.Results:The CCE of children under the age of 15 in Beijing were 92.29 billion yuan,97.54 billion yuan,and 105.72 billion yuan in 2017-2019,with an average annual growth rate of 4.67%;the financing structure of children's CCE is dominated by family health expenditure,accounting for about 65%;children's outpatient and inpatient CCE primarily flew to secondary and tertiary hospitals;respiratory diseases account for the largest share of the disease categories of the CCE,with a share of 25.96%,followed by digestive diseases with a share of 10.26%.Conclusion:The financing structure needs to be optimized to lessen the financial burden of medical care on the families of child patients;the capacity of grass-roots pediatric services should be strengthened,and reasonably guide the flow of adolescent patients to institutions;financial investment should be increased for pre-pregnancy,prenatal screening and other preventive services.It needs to give careful consideration to children's safety education and encourage the implementation of children's commercial accidental injury insurance.

Objective:By analyzing the curative cost of treatment for children in Beijing,it provided recommendations for further optimizing child health management policies in Beijing.Methods:The System of Health Accounts 2011(SHA 2011)was used to calculate the CCE of children in Beijing's medical institutions.Results:The CCE of children under the age of 15 in Beijing were 92.29 billion yuan,97.54 billion yuan,and 105.72 billion yuan in 2017-2019,with an average annual growth rate of 4.67%;the financing structure of children's CCE is dominated by family health expenditure,accounting for about 65%;children's outpatient and inpatient CCE primarily flew to secondary and tertiary hospitals;respiratory diseases account for the largest share of the disease categories of the CCE,with a share of 25.96%,followed by digestive diseases with a share of 10.26%.Conclusion:The financing structure needs to be optimized to lessen the financial burden of medical care on the families of child patients;the capacity of grass-roots pediatric services should be strengthened,and reasonably guide the flow of adolescent patients to institutions;financial investment should be increased for pre-pregnancy,prenatal screening and other preventive services.It needs to give careful consideration to children's safety education and encourage the implementation of children's commercial accidental injury insurance.

Objective:By analyzing the curative cost of treatment for children in Beijing,it provided recommendations for further optimizing child health management policies in Beijing.Methods:The System of Health Accounts 2011(SHA 2011)was used to calculate the CCE of children in Beijing's medical institutions.Results:The CCE of children under the age of 15 in Beijing were 92.29 billion yuan,97.54 billion yuan,and 105.72 billion yuan in 2017-2019,with an average annual growth rate of 4.67%;the financing structure of children's CCE is dominated by family health expenditure,accounting for about 65%;children's outpatient and inpatient CCE primarily flew to secondary and tertiary hospitals;respiratory diseases account for the largest share of the disease categories of the CCE,with a share of 25.96%,followed by digestive diseases with a share of 10.26%.Conclusion:The financing structure needs to be optimized to lessen the financial burden of medical care on the families of child patients;the capacity of grass-roots pediatric services should be strengthened,and reasonably guide the flow of adolescent patients to institutions;financial investment should be increased for pre-pregnancy,prenatal screening and other preventive services.It needs to give careful consideration to children's safety education and encourage the implementation of children's commercial accidental injury insurance.