Metabolic reprogramming， as one of the core hallmarks of malignant tumors， plays a key role in the occurrence， development and treatment of breast cancer （BC）. Abnormal changes in glucose metabolism， amino acid metabolism， lipid metabolism， as well as the tricarboxylic acid （TCA） cycle and oxidative phosphorylation （OXPHOS） pathways significantly influence the pathogenesis and progression of BC. Studies have shown that various active components of traditional Chinese medicine （TCM） （such as berberine， matrine， quercetin， curcumin， etc.） and their compound formulations （e.g. Xihuang pill， Danzhi xiaoyao powder， Yanghe decoction， etc.） can inhibit the proliferation and migration of BC cells and induce apoptosis by regulating key metabolic pathways such as glycolysis， lipid synthesis， and amino acid metabolism. TCM demonstrates multi-target and holistic regulatory advantages in intervening in BC metabolic reprogramming， showing significant potential in modulating key molecules like hypoxia inducible factor-1α， hexokinase-2， pyruvate kinase M2， lactate dehydrogenase A， glucose transporter-1， fatty acid synthase， and signaling pathways such as AKT/mTOR. However， current researches still focus predominantly on glucose metabolism， with insufficient mechanistic studies on lipid metabolism， amino acid metabolism， the TCA cycle， and OXPHOS. The precise targets， molecular mechanisms， and clinical translation value of these interventions require further validation and clarification through more high-quality experimental studies and clinical trials.

Vascular endothelial growth factor (VEGF) inhibitors are drugs that target and inhibit tumor angiogenesis. By blocking the signaling pathway of VEGF and its receptor, they suppress tumor proliferation and play a crucial role in tumor treatment. However, their side effects, such as hypertension, proteinuria, hand-foot skin reactions, and myelosuppression, during treatment seriously affect patients' treatment compliance and quality of life. The development of intervention strategies for the side effects of VEGF inhibitors is of great importance for tumor treatment. This article reviews the clinical characteristics and toxic mechanisms of common side effects caused by VEGF inhibitors during tumor treatment and summarizes intervention strategies that combine traditional Chinese and Western medicines. Drug dosages were precisely monitored and adjusted to achieve antitumor treatment. Patients' discomfort symptoms are improved through prescriptions that act by tonifying qi and promoting blood circulation, strengthening the spleen, and tonifying the kidney. The combination of traditional Chinese and Western medicines is used to treat patients, thus providing a safe and effective treatment plan for patients with cancer.

Platelets are small, anucleated cells generated by cytoplasmic fragmentation and shedding from mature megakaryocytes. Upon vascular stimulation or injury, platelets become activated and adhere to exposed vascular endothelial cells, ultimately forming thrombi to promote blood coagulation and wound healing. In recent years, increasing evidence from in-depth studies on platelet function has revealed that autophagy plays a crucial role in platelet production and functional performance. Autophagy is an intracellular process of material recycling and reuse, involving autophagosome formation, cargo degradation, and nutrient recycling, which facilitates the maintenance of homeostasis and defense against pathogen infection. Numerous studies have demonstrated that autophagy participates in the regulation of platelet production, activation, and aggregation, and is closely implicated in the pathogenesis of platelet dysfunction-related diseases such as immune thrombocytopenia. Additionally, platelet-rich plasma therapy, by modulating the autophagic process, has shown great potential in treating osteoarthritis and promoting diabetic foot wound healing. This review thoroughly explores the potential roles of autophagy in regulating platelet production and function, as well as in platelet-related diseases. Future research should focus on the molecular mechanisms of platelet autophagy, investigate its dynamic changes under different disease conditions, and explore how autophagy modulation can improve platelet function and treat related diseases. This will provide a theoretical foundation for developing novel therapeutic strategies and is expected to bring breakthroughs in the treatment of platelet-related diseases.

Abstract To improve the mental health status of college students, the study systematically sorts out the current applications of artificial intelligence (AI) technology in psychological assessment, early warning and intervention for college students, and identifies existing challenges including technical limitations, ethical issues and privacy leakage risks. It proposes countermeasures such as strengthening technological innovation and perfecting relevant laws and regulations to address the challenges brought by AI applications, so as to promote the sustainable development of mental health services for college students.

BACKGROUND: The incidence of leptomeningeal metastasis (LM) in patients with advanced non-small cell lung cancer (NSCLC) is increasing gradually. However, it poses therapeutic challenges due to limited effective interventions. Intrathecal Pemetrexed (IP) holds broad application prospects in the therapeutic domain of LM. This study aims to evaluate the efficacy, safety, and optimal combination strategies of IP in NSCLC-LM patients with epidermal growth factor receptor (EGFR) mutation-positive status, with the aim of providing real-world data support for exploring more precise personalized treatment strategies for these patients. METHODS: 104 EGFR-mutated NSCLC-LM patients who received IP treatment at Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School from January 2018 to June 2024 were analyzed retrospectively. Clinical parameters, treatment regimens, and survival outcomes were collected. The overall survival (OS), progression-free survival (PFS), clinical response rate and adverse events (AEs) were evaluated. RESULTS: The cohort demonstrated a median PFS of 9.6 months and OS of 13.0 months with 6-month and 1-year OS rates of 80.8% and 56.5%, respectively. Clinical response was observed in 77.9% of patients. The common AEs were myelosuppression (58.7%) and elevation of hepatic aminotransferases (25.0%). Nine (8.7%) patients experienced grade 4 myelosuppression and recovered to normal after receiving symptomatic treatment. Subgroup analyses revealed prolonged OS in patients with Karnofsky performance status (KPS) ≥60 versus <60 (14.4 vs 9.0 months, P=0.0022) and those receiving Bevacizumab therapy versus not (19.2 vs 10.5 months, P=0.0011). CONCLUSIONS IP exhibits promising efficacy and manageable toxicity in EGFR-mutated NSCLC-LM patients. When combined with Bevacizumab, it exerts synergistic antitumor effects with the potential to further improve clinical outcomes.
Humans ; Pemetrexed/therapeutic use* ; Carcinoma, Non-Small-Cell Lung/pathology* ; Male ; Female ; Middle Aged ; Lung Neoplasms/pathology* ; ErbB Receptors/genetics* ; Aged ; Mutation ; Adult ; Retrospective Studies ; Injections, Spinal ; Meningeal Neoplasms/genetics* ; Treatment Outcome ; Aged, 80 and over

Objective:To assess the effects of recognition function of four-lead electrocardiogram(ECG)synchronization technique and multi-parameter fusion technique in reducing the number of false alarms and improving the quality of alarms in intensive care units(ICU).Methods:Four-lead ECG synchronization technique and multi-parameter fusion technique were used to strengthen the monitoring and assessment for the alarm of clinical monitors,and reduce the false alarm rate of monitors.The clinical alarm data of bed units corresponding to 48 monitors in clinical use of ICU,cardiovascular intensive care unit(CCU)and neurosurgery intensive care unit(NICU)of Hainan General Hospital from October 14 to December 27,2024 were selected.According to the opening and close of the four-lead ECG synchronization and multi-parameter fusion technique algorithm of the monitors,they were divided into group A(opened four-lead ECG synchronization and multi-parameter fusion),group B(opened four-lead ECG synchronization,but closed multi-parameter fusion),group C(closed four-lead ECG synchronization,but opened multi-parameter fusion)and group D(closed four-lead ECG synchronization and multi-parameter fusion),with 12 units in each group.The numbers of total alarms and false alarms generated by monitor of each bed unit among different optimization strategies were compared.Results:The numbers of average daily alarm of the monitors in groups A,B and C were respectively(134.2±32.4)cases,(392.5±68.2)cases and(583.4±126.5)cases,which were lower than those in group D(1 073.2±168.6),with statistically significant differences(Z=3.45,2.94,2.52,P<0.05).The optimization rates of the alarm numbers in groups A,B and C were increased by 87.51%,63.47%and 45.67%,respectively.The rates of average false alarm of the monitors in groups A,B and C were respectively(1.04±0.15)%,(1.73±0.12)%and(2.07±0.08)%,which were lower than(3.76±0.2)%in group D,with statistically significant differences(Z=3.45,2.94,2.52,P<0.05).Conclusion:Four-lead ECG synchronization technique and multi-parameter fusion technique can effectively optimize the number of alarms in ICU,and reduce the proportion of false alarms of monitors in department,and decrease fatigue of medical staffs for alarm.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

With the intensification of population aging, type 2 diabetes has emerged as a significant global public health concern, particularly in developing countries.Epidemiological data indicate that the elderly population faces a higher risk of diabetes, accompanied by an increasing incidence rate.Due to the unique pathological characteristics and comorbid chronic diseases prevalent among elderly diabetes patients, polypharmacy is both common and often unavoidable.Inappropriate polypharmacy poses heightened health risks for patients and complicates clinical management, underscoring the urgent need to optimize intervention strategies.Effective approaches include regular medication reviews, adjustments to blood glucose control targets, and the development of personalized deprescribing plans informed by comprehensive geriatric assessments.While some interventions have demonstrated positive effects in reducing potentially inappropriate medications, addressing prescription omissions, and enhancing medication adherence, their capacity to yield significant clinical improvements requires further validation.Future research should prioritize the identification of the most effective interventions for high-risk populations.

Objective:To integrate implicit templates with deep learning techniques, a novel neural network, the tooth-deformable deep implicit network (T-DDIN), was constructed to achieve high-precision shape completion of tooth defects in a personalized manner.Methods:A total of 550 intraoral scan models were collected from patients treated at the Department of Orthodontics and Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University (500 for training and 50 for testing), between March 2022 and March 2024. T-DDIN reconstructed defective tooth morphology using an implicit template and a latent encoding prediction network. During model evaluation, Class Ⅱ cavity defects and occlusal wear defects were simulated in the test set. Morphological restoration was performed using both traditional computer aided design (CAD) methods and the T-DDIN deep learning approach. The two methods were compared based on three-dimensional deviation, occlusal adjustment volumes, cusp angle deviation, and restoration time.Results:The T-DDIN group demonstrated significantly lower three-dimensional deviation for Class Ⅱ cavity defects and occlusal wear restoration [(0.14±0.05) and (0.16±0.09) mm], occlusal adjustment volumes [(0.44±0.03) and (0.49±0.03) mm 3], and difference value of the tooth cusp angles (5.69°±1.90° and 6.04°±0.53°) compared to the traditional CAD group (both P<0.001). No significant differences were observed within the T-DDIN group between the two defect types in terms of three-dimensional deviation ( P=0.098) or occlusal adjustment volume ( P=0.154) or difference value of the tooth cusp angles ( P=0.196). However, in the traditional CAD group, three-dimensional deviation, occlusal adjustment volume and difference value of the tooth cusp angles was significantly higher in occlusal wear restorations than in Class Ⅱ cavity defects restorations ( P<0.001). The T-DDIN group, which involved Class Ⅱ cavity defects and occlusal wear, demonstrated significantly less recovery time of morphology (37.2±7.7) and (39.4±6.2) s compared to the traditional CAD group ( P<0.001). Conclusions:T-DDIN demonstrated superior stability and accuracy in morphological reconstruction for various types of dental defects while significantly reducing restoration time.

ObjectiveTo investigate the mechanism of Forsythiae Fructus-Lonicerae Japonicae Flos（FF） in the treatment of acute lung injury（ALI） by investigating the effects of FF on serum metabolomics of rats with ALI. MethodsThirty male SD rats were acclimated for 1 week， and 6 rats were randomly selected as the blank group. The other 24 rats were injected with lipopolysaccharide（LPS） solution by tracheal drip to establish an ALI model. After successful model establishment， the rats were randomly divided into the model group， the FF low-dose group（3.0 g·kg^-1）， the FF high-dose group（6.0 g·kg^-1）， and the dexamethasone group（5 mg·kg^-1）， with six rats in each group. The FF low- and high-dose groups and the dexamethasone group were received daily oral administration of the corresponding drug solution， and the blank group and the model group were gavaged with an equal amount of saline， treatment was administered continuously for 3 d. The pathological conditions of rat lung tissues were evaluated by hematoxylin-eosin（HE） staining， wet/dry mass ratio（W/D） of the lung tissues， and protein concentration in rat bronchoalveolar lavage fluid（BALF）. Metabolomic analysis of rat serum was performed by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， combined with multivariate statistical analysis， the potential biomarkers of FF in treating ALI were screened by variable importance in the projection（VIP） value>1， P<0.05 from t-test， and log₂fold change（FC）>1 or log₂FC<-1. Kyoto Encyclopedia of Genes and Genomes（KEGG） database combined with MetaboAnalyst were used for pathway analysis of the screened differential metabolites. The protein expression levels of sphingosine-1-phosphate（S1P）， phosphatidylinositol 3-kinase（PI3K）， protein kinase B1（Akt1）， and phosphorylated Akt1（p-Akt1） were examined by Western bolt. The expression levels of interleukin（IL）-6， IL-1β， and tumor necrosis factor（TNF）-α in BALF were detected by enzyme-linked immunosorbent assay（ELISA）. ResultsCompared with the blank group， rats in the model group showed ALI pathological features such as alveolar lumen dilatation， interstitial hemorrhage and massive inflammatory cell infiltration， and the protein concentration in BALF and W/D of the lung tissues were significantly elevated（P<0.01）. Compared with the model group， the low- and high-dose groups of FF as well as the dexamethasone group exhibited reduced pulmonary bronchial hemorrhage in rats， and the protein concentration in BALF and W/D were significantly decreased（P<0.05）， and the lung injury was significantly alleviated. Analysis of rat serum metabolomics revealed that FF downregulated 38 biomarkers. Pathway enrichment analysis showed that FF primarily exerted therapeutic effects through 7 key metabolic pathways， including arginine biosynthesis， sphingomyelin metabolism， alanine， aspartate and glutamate metabolism， taurine and hypotaurine metabolism， α-linolenic acid metabolism， niacin and nicotinamide metabolism， and retinol metabolism. The results of Western bolt and ELISA showed that， compared with the blank group， the model group exhibited significantly elevated expression levels of S1P， PI3K， Akt1 and p-Akt1 proteins in the lung tissues， as well as increased expression levels of IL-6， IL-1β and TNF-α in BALF（P<0.01）. Compared with the model group， the expression levels of the aforementioned indicators were significantly downregulated in the low- and high-dose FF groups as well as the dexamethasone group（P<0.05， P<0.01）. ConclusionFF may play a role in ALI by regulating amino acid metabolism and lipid metabolism， and its mechanism may be related to the inhibition of S1P/PI3K/Akt1 signaling pathway to attenuate the inflammatory response caused by ALI.