Ferroptosis, a programmed cell death modality discovered and defined in the last decade, is primarily induced by iron-dependent lipid peroxidation. At present, it has been found that ferroptosis is involved in various physiological functions such as immune regulation, growth and development, aging, and tumor suppression. Especially its role in tumor biology has attracted extensive attention and research. Breast cancer is one of the most common female tumors, characterized by high heterogeneity and complex genetic background. Triple negative breast cancer (TNBC) is a special type of breast cancer, which lacks conventional breast cancer treatment targets and is prone to drug resistance to existing chemotherapy drugs and has a low cure rate after progression and metastasis. There is an urgent need to find new targets or develop new drugs. With the increase of studies on promoting ferroptosis in breast cancer, it has gradually attracted attention as a treatment strategy for breast cancer. Some studies have found that certain compounds and natural products can act on TNBC, promote their ferroptosis, inhibit cancer cells proliferation, enhance sensitivity to radiotherapy, and improve resistance to chemotherapy drugs. To promote the study of ferroptosis in TNBC, this article summarized and reviewed the compounds and natural products that induce ferroptosis in TNBC and their mechanisms of action. We started with the exploration of the pathways of ferroptosis, with particular attention to the System X_c^--cystine-GPX4 pathway and iron metabolism. Then, a series of compounds, including sulfasalazine (SAS), metformin, and statins, were described in terms of how they interact with cells to deplete glutathione (GSH), thereby inhibiting the activity of glutathione peroxidase 4 (GPX4) and preventing the production of lipid peroxidases. The disruption of the cellular defense against oxidative stress ultimately results in the death of TNBC cells. We have also our focus to the realm of natural products, exploring the therapeutic potential of traditional Chinese medicine extracts for TNBC. These herbal extracts exhibit multi-target effects and good safety, and have shown promising capabilities in inducing ferroptosis in TNBC cells. We believe that further exploration and characterization of these natural compounds could lead to the development of a new generation of cancer therapeutics. In addition to traditional chemotherapy, we discussed the role of drug delivery systems in enhancing the efficacy and reducing the toxicity of ferroptosis inducers. Nanoparticles such as exosomes and metal-organic frameworks (MOFs) can improve the solubility and bioavailability of these compounds, thereby expanding their therapeutic potential while minimizing systemic side effects. Although preclinical data on ferroptosis inducers are relatively robust, their translation into clinical practice remains in its early stages. We also emphasize the urgent need for more in-depth and comprehensive research to understand the complex mechanisms of ferroptosis in TNBC. This is crucial for the rational design and development of clinical trials, as well as for leveraging ferroptosis to improve patient outcomes. Hoping the above summarize and review could provide references for the research and development of lead compounds for the treatment for TNBC.

Fecal microbiota transplantation (FMT) technology originated in China during the Eastern Jin Dynasty and has rapidly developed over the past two decades, becoming a primary method for studying the causal relationship between gut microbiota and the occurrence and progression of diseases. At the same time, the therapeutic effects of FMT in the field of gastrointestinal diseases have gained widespread recognition and are gradually expanding into other disease areas. The FMT procedure is relatively complex, and there is currently no standardized method; its success is influenced by various factors, including the donor, recipient, processing of the fecal material, and the method of implantation. Given the increasingly recognized relationship between gut microbiota and various diseases, FMT has become a research hotspot in both scientific studies and clinical applications, achieving a series of significant advancements. To help researchers better understand this technology, this paper will outline the development history of FMT, summarize common operational methods in research and clinical settings, review its application progress, and look forward to future development directions.

Objective To investigate the efficacy and safety of hybrid surgery for the recanalization of carotid artery occlusion after stenting.Methods Clinical data and results of 17 patients with occlusion after carotid artery stenting and treated with hybrid surgery from June 2016 to April 2023 at the Department of Neurosurgery Cerebral Blood Flow Reconstruction Center of Xuanwu Hospital,Capital Medical University were retrospectively analyzed.According to whether the recanalization was successful,17 patients were divided into the the successful recanalization group and the failed recanalization group.Successful recanalization was defined as achieving modified thrombolysis in cerebral infarction(mTICI)grade ≥2b and residual stenosis＜50％.Baseline data(age,sex,body mass index,smoking history,alcohol consumption history,hypertension history,diabetes history,hyperlipidemia history,coronary heart disease history),clinical data(National Institutes of Health Stroke Scale[NIHSS]score at admission,fasting blood glucose,low density lipoprotein,high density lipoprotein,total cholesterol,triglyceride,occlusion side and segment,combination with severe stenosis or occlusion of the contralateral carotid artery,opening of the anterior communicating artery,opening of the posterior communicating artery,compensation of the external and internal carotid artery,compensation of the pia artery,stump morphology,and time from imaging diagnosis of occlusion to recanalization)were documented and compared between groups.The recanalization of occlusive vessels and perioperative complications were recorded.Imaging and clinical follow-up were performed 3,6 months and≥1 year after surgery.Results Among the 17 patients,the ratio of successful recanalization was 13/17.One patient had re-occlusion after operation,which was re-opened after thrombolysis,but neck hematoma with dyspnea occurred,and recovered after emergency operation.There was no postoperative stroke or death.The incidence of perioperative complications was 1/17.Compared with the successful recanalization group,the levels of high density lipoprotein and total cholesterol in the failed recanalization group were higher,and the differences between the groups were statistically significant(high density lipoprotein[1.3±0.3]mmol/L vs.[0.9±0.3]mmol/L,t=-2.139;total cholesterol:[4.2±0.8]mmol/L vs.[3.1±0.7]mmol/L,t=-2.649;both P＜0.05);There were no significant differences in other baseline data and clinical data(all P＞0.05).Imaging follow-up was completed in 9 of the 13 patients in the successful recanalization group,and the follow-up time was 3.8-36.9 months,with a median follow-up time of 22.8(12.8,34.7)months.Among them,1 patient(1/9)developed restenosis of recanalization vessels at 33.0 months after surgery and underwent stent implantation again.Conclusions The preliminary analysis showed that the occlusion after carotid artery stenting had better recanalization success and lower perioperative complications.In patients with chronic occlusion after carotid stenting,the application of a hybrid surgery for opening may be attempted under multimodal imaging assessment.

Objective To propose a SSA-BP algorithm based on the back propagation(BP)neural network and sparrow search algorithm(SSA)to predict battery remaining life accurately.Methods Firstly,the total number of the weights and thresholds was determined with the structure of the BP neural network;secondly,the initial weights and thresholds were optimized using the SSA algorithm and assigned to the BP neural network;and finally,the predicted output values were obtained by training the input samples.The data of 18650 model lithium batteries at different ambient temperatures(4,24,43 ℃)were selected for testing,and the prediction accuracy of the SSA-BP neural network algorithm and BP neural network algorithm on the remaining life of medical device batteries was verified by the mean absolute error,root mean square error and mean absolute percentage error.Results The SSA-BP algorithm had the average absolute error,root mean square error and mean absolute percentage error lower than those of the BP neural network when used to predict battery remaining life.Conclusion The SSA-BP algorithm can effectively predict battery remaining life,and enhances battery reliability during practical application.[Chinese Medical Equipment Journal,2024,45(8):21-25]

The risks related to the essential performance were analyzed with considerations on the concept of the essential performance in GB 9706.1-2020 Medical electrical equipment-Part 1:General requirements for basic safety and essential performance,and the determination process for the essential performance of medical electrical equipment was summarized.The essential performance of the example equipment was clarified with the semi-quantitative risk analysis,and the influences of the arrangement of the electromagnetic compatibility test on the determination of the essential performance were explored with the conducted immunity test and conventional test.References were provided for standard users to understand and determine the essential performance effectively.[Chinese Medical Equipment Journal,2024,45(11):72-76]

Objective:To study the expressions of bronchoalveolar lavage fluid(BALF), C-reactive protein (C reactive protein, CRP), procalcitonin (PCT) and Interleukin 6 (IL-6) in mechanically ventilated patients with chronic obstructive pulmonary diseases (COPD) and their clinical significance.Methods:A total of 128 COPD patients with mechanical ventilation admitted to the Third People's Hospital of Chengdu from September 2022 to September 2023 were selected as the study subjects. They were divided into VAP group and non-VAP group according to the occurrence of ventilator associated pneumonia (VAP). Comparison of general data between the two groups, measurement data in line with normal distribution were expressed xˉ± s, and independent sample t test was used to compare the mean between groups. Enumeration data were expressed as constituent ratio, and χ2 test was used to compare between groups. Multivariate Cox regression was used to analyze the influencing factors of VAP in COPD patients. The diagnostic value of CRP, procalcitonin and IL-6 in BALF and serum for VAP was evaluated by receiver operating characteristic (ROC) curve. Results:There were 32 cases of VAP and 96 cases of non-VAP in 128 COPD patients with mechanical ventilation. In the VAP group, the duration of mechanical ventilation was (5.12±0.48) days, and 13 patients (40.63%) had used antibiotics within 3 months, while in the non-VAP group, the duration of mechanical ventilation was (4.79±0.69) days, and 56 patients (61.46%) had used antibiotics within 3 months, respectively. There were significant differences between the two groups ( t=2.51, χ2=4.23, all P<0.05). The levels of CRP, procalcitonin and IL-6 in BALF of VAP group were (26.46±6.78) mg/L, (2.47±0.69) ng/L and (751.46±126.44), and in the non-VAP group, they were (20.47±6.26) mg/L, (1.12±0.32) ng/L and (447.89±68.69) μg/L, respectively. There were significant differences between the two groups ( t=4.59, 15.00, 17.18, all P<0.001). The serum levels of CRP, procalcitonin and IL-6 in VAP group were (124.78±26.32) mg/L, (10.53±2.20) ng/L and (221.69±45.46). The non-VAP group was (96.78±24.96) mg/L, (6.46±1.89) ng/L and (146.36±42.34) μg/L, respectively ( t=5.42, 10.12, 8.56; all P<0.001). Multivariate Cox regression analysis showed that mechanical ventilation time, BALF and serum CRP, procalcitonin and IL-6 were independent factors affecting the occurrence of VAP in COPD patients ( OR values were 1.578, 1.687, 1.669, 1.844,1.645, 1.775 and 1.659, respectively). 95% CI were 1.017-2.447, 1.066-2.669, 1.076-2.588, 1.148-2.963, 1.086-2.493, 1.172-2.690 and 1.084-2.538, all P<0.05). ROC curve showed that the AUC of CRP, procalcitonin and IL-6 in BALF and serum were 0.758/0.792, 0.965/0.930 and 0.977/0.900 respectively ( P values were 0.049/0.046, 0.030/0.030 and 0.021/0.033, respectively). Conclusion:The expressions of CRP, procalcitonin and IL-6 in BALF and serum of COPD patients with mechanical ventilation have high clinical diagnostic value, which can assist the diagnosis of early VAP.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To establish a prediction model for symptomatic radiation pneumonitis (SRP) after radiotherapy for thoracic cancer based on a longitudinal cohort and dose interval variations.Methods:Clinical data of 587 patients who received thoracic radiotherapy in Department of Radiotherapy of Yunnan Cancer Hospital from July 2022 to June 2023 were retrospectively analyzed. The National Cancer Institute common terminology criteria for adverse events (CTCAE) version 5.0 was used to grade radiation pneumonitis, and clinical factors, traditional independent dosimetric characteristics and dose interval variation characteristics were collected. Features used to predict the occurrence of SRP were screened using genetic algorithms and analyzed the correlation between the selected features and SRP occurrence. Predictive models for SRP occurrence were established using the selected features and evaluated, and the optimal predictive model was visualized using a column chart.Results:The incidence of SRP was 35.94%. Five clinical factors, seven independent dosimetric features and six dose interval variation features were screened out by genetic algorithms to effectively predict the occurrence of SRP. The area under ROC curve (AUC) of clinical factors combined with traditional independent dosimetric factors and dose interval variation factors was 76%. The AUC of clinical factors combined with traditional independent dosimetric factors and that of clinical factors combined with dose interval variation factors was 69% and 67%, respectively. The addition of the characteristics of dose interval variation factors significantly improved the effectiveness of the prediction model.Conclusions:The supplement of the characteristics of dose interval variation factors can significantly improve the performance of the SRP prediction model for thoracic tumors after radiotherapy. The SRP prediction model based on dose interval variations can effectively predict the occurrence of SRP.

Stickler syndrome is a hereditary connective tissue disorder, characterized in ocular manifestations by high myopia and vitreous abnormalities. The progression of the disease can lead to giant retinal tear and rhegmatogenous retinal detachment, making it the most common cause of inherited pediatric retinal detachment. Surgical intervention is the primary treatment for retinal detachment associated with Stickler syndrome. However, there are currently no evidence-based management strategies. Patients typically require multiple surgeries, with low reattachment rates and high recurrence rates, emphasizing the importance of prophylactic treatment. Current prophylactic measures include scleral bucking, laser photocoagulation and retinal cryotherapy, but their absolute benefits remain insufficiently supported. This review summarizes recent advances in the prophylaxis and treatment of retinal detachment in Stickler syndrome, aiming to provide new insights and essential references for the prevention and treatment for such conditions.

A high-throughput three-dimensional (3D) hepatocyte culture model is constructed in this study. It is capable of replicating the 3D in vivo environment and offers the advantages of high throughput, enhanced reproducibility, low cost, and simplified operation, rendering a valuable tool for hepatotoxicity screening of traditional Chinese medicine (TCM). First, we constructed the 3D high throughput liver chip model using collagen hydrogel. The precision and its difference with traditional cell culture plates were assessed using acetaminophen, Tripterygium hypoglaucum, and Qili San as the references. The feasibility of this model was also investigated by comparing the hepatotoxicity among four batches of T. hypoglaucum and Qili San. The methodology verification shows that the 3D hepatocyte model is better than traditional two-dimensional (2D) cell culture model in precision and feasibility. Subsequently, we compared the hepatotoxicity of different samples over a period of three or seven days and found that the hepatotoxicity of TCM extracts increased over time. Finally, we compared the hepatotoxicity of T. hypoglaucum and its compound formula Kunxian capsule under equivalent concentration. The results showed that the compound Kunxian capsule could significantly reduce hepatotoxicity of T. hypoglaucum. Generally, we constructed a high-throughput, robust 3D liver-on-a-chip model with the potential of rapid assessing TCM-induced liver toxicity.