With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

ObjectiveTo observe the effect of Zishen Tiaogan prescription on the oxidative stress injury in the rat model of diminished ovarian reserve （DOR） and explore the role of the Kelch-like ECH-associated protein 1 （Keap1）/nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway. MethodsForty-eight female SD rats were randomly assigned into a normal group （n=12） and a modeling group （n=36）. The rats in the modeling group received subcutaneous injection of galactose （350 mg·kg^-1） combined with immobilization stress daily. After 28 days of modeling， 6 rats in the normal group and 6 rats in the modeling group were sacrificed to examine the modeling results. The successfully modeled rats were assigned into model， estradiol valerate （0.09 mg·kg^-1）， and low-， medium-， and high-dose （6.39， 12.78， 25.56 g·kg^-1， respectively） Zishen Tiaogan prescription groups. The intervention lasted for 4 weeks with 6 animals per group. Hematoxylin-eosin staining was used to observe the estrous cycle and the pathological changes in the ovarian tissue. The ovarian index was calculated. Enzyme-linked immunosorbent assay was employed to measure the serum levels of sex hormones and oxidative stress-related indexes. Western blot and real-time PCR were employed to determine the protein and mRNA levels， respectively， of Nrf2， Keap1 and HO-1 in the ovarian tissue. The positive expression of superoxide dismutase 2 （SOD2） in the ovarian tissue was detected by immunohistochemistry （IHC）. ResultsCompared with the normal group， the model group showed reduced follicles in the ovary， loose arrangement of the follicle granule layer， declined levels of anti-Mullerian hormone （AMH） and estradiol （E₂） in the serum， elevated levels of luteinizing hormone （LH） and follicle-stimulating hormone （FSH） （P<0.01）， lowered levels of superoxide dismutase （SOD）， catalase （CAT）， and glutathione （GSH） （P<0.01）， and increased accumulation of malondialdehyde （MDA） （P<0.01）. In addition， the modeling led to up-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 and HO-1 protein was significantly decreased （P<0.01）， the mRNA expression of Nrf2 was significantly decreased （P<0.05）， the mRNA expression of HO-1 was significantly decreased （P<0.01）， in the ovarian tissue. Compared with model group， the estradiol valerate and low-， medium-， and high-dose Zishen Tiaogan prescription groups showed increases in the ovarian index （P<0.01） and serum E₂ and AMH levels （P<0.01）， declined levels of FSH and LH （P<0.01）， increased follicles in the ovary， elevated levels of SOD， CAT， and GSH， and reduced accumulation of MDA （P<0.05， P<0.01）. Furthermore， these groups showcased down-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 protein was significantly increased （P<0.01）， the expression level of HO-1 protein was increased （P<0.05，P<0.01）， and increased positive expression of SOD2 （P<0.01）. ConclusionZishen Tiaogan prescription can regulate the serum levels of hormones， down-regulate the expression of Keap1， up-regulate the expression of Nrf2， HO-1， and SOD2， enhance the antioxidant capacity， and reduce the peroxidation damage in the ovarian tissue to improve the ovarian reserve function in the rat model of DOR. High-dose Zishen Tiaogan prescription demonstrated the best effect and the mechanism is associated with the regulation of the Keap1/Nrf2/HO-1 pathway.

ObjectiveTo observe the effect of Zishen Tiaogan prescription on the oxidative stress injury in the rat model of diminished ovarian reserve （DOR） and explore the role of the Kelch-like ECH-associated protein 1 （Keap1）/nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway. MethodsForty-eight female SD rats were randomly assigned into a normal group （n=12） and a modeling group （n=36）. The rats in the modeling group received subcutaneous injection of galactose （350 mg·kg^-1） combined with immobilization stress daily. After 28 days of modeling， 6 rats in the normal group and 6 rats in the modeling group were sacrificed to examine the modeling results. The successfully modeled rats were assigned into model， estradiol valerate （0.09 mg·kg^-1）， and low-， medium-， and high-dose （6.39， 12.78， 25.56 g·kg^-1， respectively） Zishen Tiaogan prescription groups. The intervention lasted for 4 weeks with 6 animals per group. Hematoxylin-eosin staining was used to observe the estrous cycle and the pathological changes in the ovarian tissue. The ovarian index was calculated. Enzyme-linked immunosorbent assay was employed to measure the serum levels of sex hormones and oxidative stress-related indexes. Western blot and real-time PCR were employed to determine the protein and mRNA levels， respectively， of Nrf2， Keap1 and HO-1 in the ovarian tissue. The positive expression of superoxide dismutase 2 （SOD2） in the ovarian tissue was detected by immunohistochemistry （IHC）. ResultsCompared with the normal group， the model group showed reduced follicles in the ovary， loose arrangement of the follicle granule layer， declined levels of anti-Mullerian hormone （AMH） and estradiol （E₂） in the serum， elevated levels of luteinizing hormone （LH） and follicle-stimulating hormone （FSH） （P<0.01）， lowered levels of superoxide dismutase （SOD）， catalase （CAT）， and glutathione （GSH） （P<0.01）， and increased accumulation of malondialdehyde （MDA） （P<0.01）. In addition， the modeling led to up-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 and HO-1 protein was significantly decreased （P<0.01）， the mRNA expression of Nrf2 was significantly decreased （P<0.05）， the mRNA expression of HO-1 was significantly decreased （P<0.01）， in the ovarian tissue. Compared with model group， the estradiol valerate and low-， medium-， and high-dose Zishen Tiaogan prescription groups showed increases in the ovarian index （P<0.01） and serum E₂ and AMH levels （P<0.01）， declined levels of FSH and LH （P<0.01）， increased follicles in the ovary， elevated levels of SOD， CAT， and GSH， and reduced accumulation of MDA （P<0.05， P<0.01）. Furthermore， these groups showcased down-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 protein was significantly increased （P<0.01）， the expression level of HO-1 protein was increased （P<0.05，P<0.01）， and increased positive expression of SOD2 （P<0.01）. ConclusionZishen Tiaogan prescription can regulate the serum levels of hormones， down-regulate the expression of Keap1， up-regulate the expression of Nrf2， HO-1， and SOD2， enhance the antioxidant capacity， and reduce the peroxidation damage in the ovarian tissue to improve the ovarian reserve function in the rat model of DOR. High-dose Zishen Tiaogan prescription demonstrated the best effect and the mechanism is associated with the regulation of the Keap1/Nrf2/HO-1 pathway.

Current ambient mass spectrometry ionization often requires external auxiliary equipment such as high-voltage power supply,gas cylinder,and syringe pump.Moreover,the process of sample preparation is cumbersome,and the experimental operations are complex,which makes it difficult to adapt to real-time on-site detection.In this work,a novel method was proposed,in which direct sampling of raw samples,online extraction of interest analytes,and ionization of target molecules were integrated into a single unit.With the developed method,the in-situ extraction and nano-electrospray ionization for both liquid and solid raw samples were achieved.Also,a handheld ion source and its pose adjustment device were developed,and the position and angle parameters were subsequently optimized.The performance of the ionization device was tested using standard solutions of caffeine and reserpine.The limits of detection(LODs)were 0.08 μg/L and 0.14 μg/L,with relative standard deviations(RSDs)≤3.7% and≤5.6%,respectively,indicating that the device possessed high sensitivity and stability.Using this device,three different concentrations of reserpine standard solutions were continuously tested for five days.The intra-day RSDs were consistently≤4.7% and the inter-day RSDs were all≤10.3%,showing the good working stability of the device.Without any pretreatment,a rapid qualitative detection of medicinal components including astragaloside II and cycloastragenol in five traditional Chinese medicines was carried out,with RSDs≤8.0% and≤7.1%,respectively.Additionally,rapid qualitative detection of gallic acid,a medicinal component,in white peony roots,and hypaphorine as well as quercetin in cowherb seeds were carried out,with RSDs≤7.0%,≤6.4% and≤6.1%,respectively.These results demonstrated that the ionization technology and device exhibited good stability during qualitative detection of raw samples.

OBJECTIVE To analyze the characteristics of pediatric medicines with priority review and approval for marketing in China,providing a reference for promoting enterprise R&D and production,as well as improving the supply guarantee mechanism for pediatric medicines.METHODS Based on publicly available data sources such as List of Approved Information for Pediatric Medications Subject to Priority Review and Approval,Pharnexcloud biomedical database,and National Medical Insurance Drug Directory,this study conducted a comprehensive analysis of the main characteristics of pediatric medicines with priority review and approval for marketing.RESULTS As of June 30,2024,a total of 68 pediatric medicines had been approved through the priority review and approval process,covering 12 therapeutic areas,with oral dosage forms accounting for 64.71％.The median time from application to inclusion in priority review was 35.50 days,with an average of 41.69 days.The median time from inclusion in priority review to market approval was 1.24 years,with an average of 1.42 years.This included 12 domestic new medicines,21 domestic generic medicines,35 imported medicines,as well as 29 pediatric-specific medicines and 21 orphan medicines.Additionally,31 of these medicines had been included in the medical insurance catalog,representing a proportion of 45.59％.CONCLUSIONS Currently,a trend of differentiated competition is emerging between domestic and imported pediatric medicines.The therapeutic areas for pediatric medicines are continuously expanding,and the dosage forms are becoming more tailored to children's needs.However,there are still issues such as slow progress in new medicine development,insufficient stability in the medicine review and approval process,and a need to increase the proportion of medicines included in medical insurance.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.

Objective:To identify proteins associated with the risk of gastric cancer (GC) and build a protein risk score for risk prediction of GC based on proteomic analysis.Methods:Gastric mucosal proteomics data were used to construct Dataset One, comprising 94 GC cases and 230 individuals with different stages of gastric mucosal lesions. The GC cases were recruited from the National Upper Gastrointestinal Cancer Early Detection (UGCED) Program in Linqu, Shandong Province, as well as clinical patients from the Fifth Medical Center, General Hospital of PLA, and Peking University Cancer Hospital. Non-cancer individuals were enrolled from the National UGCED Program in Linqu and community screening programs at the Dongfang Hospital. All participants were pathologically confirmed. Multivariate logistic regression analysis was employed to identify gastric mucosal proteins significantly associated with GC risk. Subsequently, plasma proteomics data from the UK Biobank Pharma Proteomics Project (UKB-PPP) were used to construct Dataset Two, including 40 baseline GC cases and 47 933 non-cancer individuals, and Dataset Three, comprising 138 incident GC cases and 47 933 non-cancer individuals during a prospective follow-up period. In Dataset Two, multivariate logistic regression analysis was conducted to assess associations between plasma protein levels and baseline GC risk. In Dataset Three, multivariate Cox regression analysis was used to examine associations with the risk of incident GC. A poly-protein risk score (PRS) was developed using a weighted summation method based on protein effect sizes from Dataset Two. Its associations with GC risk and the progression of gastric mucosal lesions were evaluated using linear regression trend tests.Results:A total of 324, 47 973 and 48 071 participants were included in Datasets One, Two, and Three, respectively. Across the three datasets, the proportions of males and individuals aged>60 years were higher in the GC group than in the non-GC group (all P values<0.05). The follow-up period in Dataset Three had a M ( P 25, P 75) of 14.47 (13.7, 15.2) years, with a median of 7.4 (4.6, 11.3) years for those who progressed to GC. Based on Dataset One, 2 524 tissue-differential proteins associated with GC risk were identified through multivariate logistic regression analysis adjusted for age and sex. Among these, seven proteins were consistently associated with GC risk across tissue and plasma levels in Datasets Two and Three, with consistent directions of association. Five proteins (MRC1, APOL1, BST2, PON2, and GGH) were positively associated with GC risk, while two (GSN and CLEC3B) were negatively associated. Analysis of the PRS based on these seven proteins showed that for each standard deviation increase in the tissue-derived PRS, the risk of GC increased by 6.26 times (95% CI: 4.02-9.75). In Dataset Two, each standard deviation increase in the plasma-derived PRS was associated with a 2.13-fold increase in GC risk (95% CI: 1.68-2.69). In the prospective cohort of Dataset Three, individuals in the high PRS group had a 2.27-fold higher risk of GC compared to the low PRS group (95% CI: 1.50-3.45). Moreover, each standard deviation increase in the plasma PRS was associated with a 57% higher risk of GC ( HR=1.57, 95% CI: 1.34-1.84). Additionally, the tissue-derived PRS showed an increasing trend with the progression of gastric mucosal lesions. Conclusion:The tissue and plasma proteomics identified seven individual proteins that may indicate the risk of developing gastric cancer, showing the potential as biomarkers for aiding in the screening of gastric cancer.

Objective:To investigate the efficacy and toxicity of blinatumomab in the first-line and second-line treatment of pediatric B-cell acute lymphoblastic leukemia (B-ALL).Methods:A multi-center retrospective cohort study was conducted to analyze clinical data from 323 pediatric B-ALL patients treated with blinatumomab across 14 hospitals in China from May 2021 to July 2023. Patients were divided into four groups based on the treatment phase and disease status when blinatumomab was used: relapsed/refractory group, post-consolidation minimal residual disease (MRD)-positive group, early MRD-positive group, and MRD-negative group. Blinatumomab for the relapsed/refractory group was considered as second-line treatment, while the other 3 groups as first-line treatment. The MRD negativity rate after treatment, the survival rates and the incidence of severe adverse events were compared across these groups. Patients who received blinatumomab for more than 7 days were included in the efficacy analysis. Survival analysis was performed using the Kaplan-Meier method, and Log-Rank test was used to compare the survival rates among groups.Results:Among the 323 patients, 191 (59.1%) were male, with the age of 6.2 (3.9, 10.5) years. There were 117 patients in the relapsed/refractory group, 62 cases in the post-consolidation MRD-positive group, 43 cases in the early MRD-positive group, and 101 cases in the MRD negative group. In the relapsed/refractory group, the complete remission rate and MRD negativity rate after one course of blinatumomab were 71.4% (35/49) and 81.5% (75/92) for the 49 children without complete remission and the 92 children with flow cytometry-positive MRD, respectively. In the post-consolidation MRD-positive group, the MRD negativity rates after one course of blinatumomab were 100.0% (27/27), 12/16 and 9/19 for patients with MRD positivity detected by flow cytometry, polymerase chain reaction and next-generation sequencing, respectively. In the early MRD-positive group, the MRD negativity rates were 96.7% (29/30) and 9/9 for flow cytometry and next-generation sequencing, respectively. The 2-year overall survival rate and event-free survival rate for the 319 children evaluable for efficacy were (90.6±1.7)% and (87.6±1.9)%, respectively, with the relapsed/refractory group showing significantly lower overall survival rates and event-free survival rate compared to the other groups ( χ2=21.40, 26.21,both P<0.001). Grade 3 or higher adverse events occurred in 128 cases (39.6%), with hematological toxicity observed in 101 cases, while cytokine release syndrome (CRS), infection, and neurotoxicity occurred in 11, 26 and 8 cases, respectively. In addition, there were statistically significant differences in the grade 3 or higher CRS among the four groups ( χ2=8.03, P<0.05). Conclusion:Blinatumomab can clear MRD more effectively and achieve superior survival outcomes when used as first-line treatment for pediatric B-ALL, with less CRS.

Objective:To investigate the relationship between adiponectin (ADPN), the ratio of high-sensitivity C-reactive protein (hs-CRP) to albumin (ALB), and the progression of acute cerebral infarction (ACI).Methods:This case-control study involved 147 patients with ACI who were treated at Xingyuan Hospital of Yulin between January 2023 and March 2024. The National Institutes of Health Stroke Scale (NIHSS) was used to evaluate disease progression. Based on the progression of the disease, the patients were divided into two groups: the progressive group ( n = 38) and the non-progressive group ( n = 109). ADPN level and the hs-CRP/ALB ratio were compared between the two groups. Additionally, multivariate logistic regression analysis was conducted to identify risk factors for disease progression in ACI patients. The predictive value of ADPN and the hs-CRP/ALB ratio for ACI was assessed using receiver operating characteristic curve analysis. Results:In the progressive group, hs-CRP level and hs-CRP/ALB ratio were (14.38 ± 3.27) mg/L and (0.43 ± 0.13), respectively, both of which were significantly higher than those in the non-progressive group [(8.92 ± 2.73) mg/L, (0.20 ± 0.07), t = 9.22, 10.37, both P < 0.001]. In contrast, the levels of ADPN and albumin in the progressive group were (2.71 ± 0.59) mg/L and (33.54 ± 8.66) g/L, respectively, both of which were significantly lower than those in the non-progressive group [(5.36 ± 1.42) mg/L, (45.05 ± 10.42) g/L, t = -15.99, -6.68, both P < 0.001]. The progressive group had higher admission NIHSS scores, a higher proportion of patients with diabetes, higher white blood cell counts, higher hemoglobin A1c (HbA1c) and fibrinogen levels compared with the non-progressive group ( t = 8.43, 2.88, 5.79, 2.77, χ2 = 4.40, all P < 0.05). Multivariate logistic regression analysis results indicated that higher admission NIHSS scores, HbA1c levels, and hs-CRP/ALB ratios were independent risk factors for disease progression in ACI patients ( OR = 2.438, 1.600, 2.971, all P < 0.05), while higher levels of ADPN were identified as a protective factor against disease progression ( OR = 0.321, P < 0.05). The receiver operating characteristic curve analysis showed that the area under the curve for predicting disease progression after admission for ACI patients using serum ADPN and hs-CRP/ALB ratio alone were 0.730 (95% CI: 0.658-0.800) and 0.758 (95% CI: 0.685-0.826), respectively. The area under the curve for the combined prediction of serum ADPN and the hs-CRP/ALB ratio was 0.895 (95% CI: 0.845-0.940), demonstrating higher predictive efficacy ( Z = 1.80, 2.13, both P < 0.05). Conclusions:ADPN level and hs-CRP/ALB ratio are closely related to the progression of ACI and demonstrate good predictive efficacy for disease progression.