Objective: To develop a convenient, direct, and highly sensitive method for screening trace chemical additives in complex Chinese patent medicines, thereby addressing core technological bottlenecks in pharmaceutical analysis and quality control. Methods: A brush ionization probe device was independently designed and constructed, and an efficient detection method was established through systematic optimization of key parameters. Twenty-three Chinese patent medicine samples, representing 6 dosage forms (capsules, tablets, pills, granules, powders, and liquid preparations), were analyzed using 10 common chemical additives as target analytes. Results: All samples were successfully analyzed without complex pretreatment, and 5 chemical additives were detected in 7 Chinese patent medicines. The brush ionization probe device exhibited cost-effectiveness (~0.2 USD per probe), operational simplicity, rapid analysis (~10s per sample), high efficiency, and minimal reagent consumption (~10 μL per sample). Conclusion: This advancement is expected to provide an innovative scientific tool for improving the generality and convenience of on-site quality control, while promoting technological progress in disciplines such as pharmacology and traditional Chinese medicine.

Objective: To analyze the etiologic distribution of difficult crossmatching and the characteristics of red blood cell antibodies, to summarize compatible transfusion strategies based on serological abnormalities, and to evaluate red blood cell transfusion efficacy and changes in bilirubin levels before and after transfusion. Methods: A retrospective analysis was conducted on difficult crossmatching cases handled by the Department of Blood Transfusion of our hospital from January 2024 to December 2025. Cases that met the criteria for difficult crossmatching determination and had complete data were included in the analysis of the causes and antibody distribution. Patients who completed red blood cell transfusion and had complete hemoglobin (Hb) data before and within 24 hours after transfusion were included in the exploratory subgroup analysis of transfusion efficacy; among them, those who also had total bilirubin and indirect bilirubin data before and after the corresponding transfusion event were included in the bilirubin analysis. According to the main serological abnormal manifestations before transfusion and the actual compatible transfusion management pathways, the cases included in the exploratory subgroup analysis were divided into three groups: the alloantibody-related difficult crossmatching group, the autoantibody-related or autoantibody combined with alloantibody-related difficult crossmatching group, and the ABO blood group identification abnormality-related difficult crossmatching group. The Hb levels before and after transfusion, the Hb increase after transfusion of each unit of red blood cells, and the changes in bilirubin levels before and after transfusion were compared among the groups. Results: A total of 322 difficult crossmatching cases met the predefined criteria, of which 287 were included in the analysis of causes and antibody distribution. There were 183 cases of alloantibody-related difficult crossmatching (63.76%), 54 cases related to inconsistency between ABO forward and reverse typing (18.82%), 44 cases related to autoantibodies (15.33%), and 6 cases related to interference from anti-CD38 monoclonal antibody drugs (2.09%). Among the 183 alloantibody-related cases, 79 cases had only a single alloantibody detected, among which antibodies of the Rh blood group system accounted for 49.37% (39/79). Among single alloantibodies, anti-E was detected most frequently, with 35 cases (44.30%), followed by anti-M with 19 cases (24.05%) and anti-Le with 13 cases (16.46%). A total of 109 cases were included in the exploratory subgroup analysis of transfusion efficacy, including 76 cases in the alloantibodyrelated difficult crossmatching group, 17 cases in the autoantibody-related or autoantibody combined with alloantibody-related difficult crossmatching group, and 16 cases in the ABO blood group identification abnormality-related difficult crossmatching group. The sex distribution and history of previous transfusion differed between cases included in and not included in this analysis. The Hb levels after transfusion in all three groups were higher than those before transfusion, and the differences were statistically significant (P<0.05). The Hb increase per unit of red blood cells did not differ significantly among the three groups (P=0.086). Among 73 cases with paired total and indirect bilirubin data corresponding to the transfusion events, the comparison of changes in total bilirubin among the three groups showed no statistically significant difference (P=0.864), and the comparison of changes in indirect bilirubin among the three groups also showed no statistically significant difference (P=0.914). Conclusion: Alloantibody-related factors were the main causes of difficult crossmatching in this study. Among single alloantibodies, Rh blood group system antibodies, especially anti-E, were relatively common. In the included exploratory subgroup, after individualized compatible transfusion based on the causes of difficult crossmatching, antibody specificities, and crossmatching results, Hb levels were higher after transfusion than before transfusion in all three groups. Within the scope of this study, the magnitude of bilirubin changes did not differ significantly among the different types of difficult crossmatching.

Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.

Panax ginseng, a perennial herbaceous plant and a representative of the Panax genus, is renowned for its exceptional medicinal value and economic benefits, often referred to as the “King of Herbs.” With the increasing market demand and the limited availability of suitable cultivation land, the issue of continuous cropping obstacles for P. ginseng has become increasingly prominent, directly hindering the sustainable development of the ginseng industry. This article summarizes the concept and hazards of continuous cropping obstacles and, drawing on the latest research, provides an in-depth analysis of the causes and response mechanisms. This work aims to establish a solid foundation for future research into the mechanisms of continuous cropping obstacles in P. ginseng.

Panax ginseng, a perennial herbaceous plant and a representative of the Panax genus, is renowned for its exceptional medicinal value and economic benefits, often referred to as the “King of Herbs.” With the increasing market demand and the limited availability of suitable cultivation land, the issue of continuous cropping obstacles for P. ginseng has become increasingly prominent, directly hindering the sustainable development of the ginseng industry. This article summarizes the concept and hazards of continuous cropping obstacles and, drawing on the latest research, provides an in-depth analysis of the causes and response mechanisms. This work aims to establish a solid foundation for future research into the mechanisms of continuous cropping obstacles in P. ginseng.

Panax ginseng, a perennial herbaceous plant and a representative of the Panax genus, is renowned for its exceptional medicinal value and economic benefits, often referred to as the “King of Herbs.” With the increasing market demand and the limited availability of suitable cultivation land, the issue of continuous cropping obstacles for P. ginseng has become increasingly prominent, directly hindering the sustainable development of the ginseng industry. This article summarizes the concept and hazards of continuous cropping obstacles and, drawing on the latest research, provides an in-depth analysis of the causes and response mechanisms. This work aims to establish a solid foundation for future research into the mechanisms of continuous cropping obstacles in P. ginseng.

Accurate characterization of the chemical composition of complex traditional Chinese medicine (TCM) is an essential foundation for the modern scientific interpretation of TCM principles. Mass spectrometry is the most dominant technique in current research on the material basis of TCM, offering the highest sensitivity and the richest information provision. Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components. This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure, PubMed, and Web of Science, using “mass spectrometry database” and “traditional Chinese medicine” as keywords. It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases. The key advancements of these mass spectrometry databases for natural products are summarized, detailing their characteristics, search methodologies, included information, and data sources. Additionally, challenges related to data quality, standardization, timely updates, database interaction, retrieval functionality, and data sharing and security are discussed in depth. Furthermore, the paper explores prospective development directions for TCM mass spectrometry databases, emphasizing the importance of open data sharing, technological innovation, and data security. Through this analysis, the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components, as well as for the construction and application of these databases.

Background: Optimizing cultivation techniques for traditional Chinese medicine has become a crucial means to improve the quality of medicinal materials. Microbial agents, as environmentally friendly and efficient plant growth promoters and soil conditioners, have increasingly attracted attention in eco-agriculture research. Objective: Our understanding remains limited regarding how the application of microbial agents, alone or in combination, affects changes in the rhizosphere microbiome and its association with the bioactive components of medicinal materials. Methods: In this study, Epimedium pubescens Maxim. was employed as a model plant to examine the effects of 2 microbial agents(Paenibacillus mucilaginosus and Bacillus subtilis) applied individually and in combination on plant growth and the accumulation of bioactive components. Additionally, this study explored the relationship between the rhizosphere microbiome and plant development. Results: The application of microbial agents increased the yield of E. pubescens leaves by 20.30% to 33.66% and enhanced the total flavonol glycosides content by 11.40% to 29.94%. Meanwhile, microbial treatments reshaped the rhizosphere microbiome, promoted the enrichment of beneficial microorganisms (e.g., Frankia and Paenibacillus), suppressed phytopathogenic fungi such as Didymella and Scytalidium, and enhanced the stability of the soil microbial co-occurrence network. The partial least squares path model suggested that microbial agents not only directly impact the quality of medicinal herbs but also indirectly alter the accumulation of bioactive components by modulating the soil microbiome. Conclusion: These findings deepen our understanding of the relationship between medicinal plant quality and rhizosphere microbiomes as mediated by microbial agents. They also provide a basis for designing and manipulating synthetic microbial communities to promote sustainable development in eco-agriculture.

Cytochrome P450 (CYP450) enzymes, as versatile biocatalysts with the broadest range of catalytic reactions in nature, play critical roles in the metabolism of medicinal plants. They are involved in various oxidative modification processes of active ingredients, facilitating both the synthesis and degradation of bioactive substances. This review delves into the classification, structure, and catalytic mechanisms of CYP450 enzymes, emphasizing their indispensable roles in plant biosynthesis. Using representative cases, including the biosynthetic pathways of tanshinones, artemisinin, celastrol, paclitaxel, and berberine, this review highlights the functional importance of specific CYP450s. For instance, CYP71AV1 catalyzes the production of artemisinin and artemisinic aldehyde, with its activity directly affecting artemisinin yield. Similarly, CYP76AH1 and CYP76AK1 play pivotal roles in the backbone construction and postmodification of tanshinones, acting as key players in their metabolic network. In the case of celastrol, CYP712K1, CYP712K2, and CYP712K3 initiate the first oxidative reaction, providing a solid foundation for subsequent biosynthetic processes. These examples highlight the pivotal role of CYP450 enzymes in the biosynthesis of medicinal plants, showcasing both their complexity and significance in plant metabolic pathways. Furthermore, this review examines the oxidative metabolism of CYP450 enzymes under aerobic conditions and their reductive metabolism in specific environments, offering deeper insights into their catalytic mechanisms. A comprehensive understanding of these processes lays the groundwork for the effective application of CYP450 enzymes in biotechnology and plant metabolic engineering.

Objective:To investigate the value of a multi-parameter MRI nomogram model in evaluating the recurrence risk of hormone receptor (HR)-positive breast cancer.Methods:This study was a retrospective cross-sectional study. A retrospective analysis was conducted on the clinicopathological data (age, menopausal status, axillary lymph node metastasis, etc.) and imaging data of 220 patients with HR-positive breast cancer who underwent breast MRI examination and were pathologically confirmed at the Second Affiliated Hospital of Nantong University from January 2018 to December 2023. All patients underwent preoperative MRI examinations. Their MRI features were analyzed, and the maximum diameter of the lesion and the apparent diffusion coefficient (ADC) value were measured. Finally, the clinical treatment score (CTS5 score) after 5 years was calculated, and all patients were divided into a low recurrence risk (CTS5 score 3.13 points) and a medium to high recurrence risk (CTS5 score≥3.13 points) group. The patients were followed up through the electronic medical record system or by phone until December 31, 2024 to determine recurrence status. The patients were divided into the recurrence group and the non-recurrence group. The differences in clinicopathological data, MRI features and CTS5 scores between the recurrence group and the non-recurrence group were compared using independent sample t-tests, Mann-Whitney U tests or χ2 tests. Indicators with P0.05 in the univariate analysis were included in the multivariate logistic regression to screen the independent risk factors for predicting the recurrence of HR receptor-positive breast cancer, and a nomogram was constructed to establish the nomogram model. The receiver operating characteristic curves and the area under the curve (AUC) were used to evaluate the efficacy of the nomogram model in predicting the postoperative recurrence risk of patients with HR-positive breast cancer. The variance inflation factor (VIF) was used to evaluate the multicollinearity among independent variables. Calibration curves and decision curve analysis (DCA) were used to assess the fit and net clinical benefit of the nomogram model. Results:Among 220 patients with HR-positive breast cancer, 196 cases were in the non-recurrence group and 24 cases were in the recurrence group. There were statistically significant differences in the maximum diameter of the lesion, axillary lymph node metastasis, ADC value, CTS5 grouping, and CTS5 score between the recurrence group and the non-recurrence group ( P0.05). Multivariate logistic regression analysis showed that the maximum diameter of the lesion ( OR=1.110, 95% CI 1.169-1.503, P0.001), ADC value ( OR=0.993, 95% CI 0.993?0.989, P0.001), and axillary lymph node metastasis ( OR=8.842; 95% CI 2.120?36.884, P=0.003) were independent factors influencing postoperative recurrence in patients with HR-positive breast cancer, and a nomogram model was constructed based on this. VIF analysis showed that no significant multicollinearity was detected among the variables (VIF5). The AUC value of the nomogram model for predicting postoperative recurrence in patients with HR-positive breast cancer was 0.868 (95% CI 0.794-0.942), the sensitivity was 0.875, and the specificity was 0.781. The calibration curve showed that the prediction curve of this model for predicting postoperative recurrence in HR-positive breast cancer patients was basically consistent with the ideal curve trend. DCA showed that this model had a relatively high clinical benefit within the threshold probability range of 0.01% to 90.00%. Conclusion:The nomogram constructed based on multi-parameter MRI features can predict the postoperative recurrence risk of HR-positive breast cancer patients, with good consistency and predictive ability.