This paper has constructed a traditional Chinese medicine （TCM） specialized disease dataset platform for mixed hemorrhoids based on a multimodal large model， and the preliminary application has been validated. The platform uses StarRocks to establish a four-level data warehouse system， enabling the aggregation， cleaning， and standardization of multi-source heterogeneous data. Using DeepSeek-R1-Distill-Qwen-7B as the base model， domain fine-tuning is performed through low-rank adaptation （LoRA） technology. Combined with LLaMA-3.3 natural language processing and reasoning chain techniques， the platform enables intelligent parsing and structured extraction of unstructured TCM medical records. It accurately identifies six major categories and 28 subcategories of entities， including symptoms and syndromes， with a fine-tuned model F1 score of 93.8%. The platform has established a high-quality specialized disease dataset containing more than 50,000 medical records and has been applied in a real-world study involving 17,831 patients， preliminarily verifying the efficacy of TCM heritage surgery.

ObjectiveTo identify the active constituents of Kaixuan Jiedu core prescription （KXJD） and investigate its effective components and therapeutic targets in the treatment of common psoriasis. MethodsUltra-performance liquid chromatography-high resolution mass spectrometry （UPLC-Q-TOF MS） was used to identify and analyze the chemical components of KXJD and its blood-entering chemical components. The chemical components of the single decoction were further identified to clarify the source of the chemical components in KXJD. Then， all identified blood-entering compounds were screened for effective active ingredients through the Swiss ADME database. The active ingredient targets of KXJD were searched on the Swiss Target Prediction platform. The targets of common psoriasis were searched in OMIM， GEO， GeneCards， and DISGNET databases to obtain drug-disease intersection targets. The protein-protein interaction network of intersection targets was constructed using STRING， and then the core blood-entering component-intersection target network of KXJD was constructed. The core target proteins in the network were selected for molecular docking with the core components of KXJD. Small molecules and proteins were pretreated， and appropriate docking sites were selected. AutoDock Vina software was used for continuous local search and repeated iterations to find molecular docking conformations. PyMOL software and LigPlot+ software were used for analysis and visualization. Subsequently， the verification was carried out through animal experiments. SPF-grade male C57 mice were randomly divided into a blank group， a model group， a positive drug methotrexate group， and a KXJD group. In the model group， the methotrexate group， and the KXJD group， imiquimod was applied to the backs of the mice for modeling. The blank group and the model group were administered normal saline by gavage， while the methotrexate group and the KXJD group were respectively administered 1 mg·kg^-1 suspension and 30.42 g·kg^-1 decoction of traditional Chinese medicine by gavage. Five days after administration， the mice were sacrificed， and samples were collected. Hematoxylin-eosin （HE） staining was used to observe the skin tissue samples of mice， and the effect of KXJD on the pathological manifestations of psoriasis mice was analyzed. The expression areas of tumor necrosis factor-α （TNF-α）， cyclooxygenase 2 （PTGS2）， interleukin （IL）-1β， and IL-6 in the skin tissue of mice were detected by immunohistochemistry （IHC）. The mRNA expressions of TNF-α， IL-1β， IL-6， and PTGS2 in the skin tissue of mice were detected by real-time fluorescent quantitative polymerase chain reaction （Real-time PCR）. ResultsIn this study， 208 compounds in KXJD were identified by UPLC-Q-TOF MS， and 44 compounds were detected in serum， including 28 prototype components and 16 metabolites. 12 blood-entering active components were screened， and 1 153 active component targets and 1 076 psoriasis-related targets were identified. Eighty-five targets in the intersection set were drug-disease common targets. PPI network analysis showed that TNF-α， IL-1β， IL-6， PTGS2， and ALB were the key target proteins. The results of molecular docking showed that the binding ability of （+）-hexylphenylglycolic acid to key target proteins such as PTGS2 was stable， and PTGS2 showed high stability with a variety of core compounds. Compared with those in the blank group， the stratum corneum and epidermis in the model group mice were significantly thickened， and the pathological Baker score of the mice's skin in the model group was significantly higher than that of the blank group （P<0.01）. The expression areas of PTGS2， TNF-α， IL-1β， and IL-6 proteins in the skin tissue of the model group mice were significantly increased （P<0.01）， and the expression levels of PTGS2， TNF-α， IL-1β， and IL-6 mRNA in the skin tissue of the model group mice were significantly elevated （P<0.01）. Compared with the model group， the pathological Baker scores of the methotrexate group and the KXJD group were both decreased （P<0.01）， and the expression areas in the skin tissue of the methotrexate group and the KXJD group were significantly reduced （P<0.05， P<0.01）. The expression levels of PTGS2， TNF-α， IL-1β， and IL-6 mRNA in the skin tissue of the methotrexate group and the KXJD group were significantly decreased （P<0.01）. ConclusionKXJD can effectively improve the skin lesions of psoriasis model mice and reduce the expression of TNF-α， IL-1β， IL-6， and PTGS2 in the skin tissue of psoriasis model mice. PTGS2 has a stable binding ability with a variety of compounds in the decoction， which may be a key target for the treatment of psoriasis. The compound （+）-hexylphenylglycolic acid may play a key role.

ObjectiveTo identify the active constituents of Kaixuan Jiedu core prescription （KXJD） and investigate its effective components and therapeutic targets in the treatment of common psoriasis. MethodsUltra-performance liquid chromatography-high resolution mass spectrometry （UPLC-Q-TOF MS） was used to identify and analyze the chemical components of KXJD and its blood-entering chemical components. The chemical components of the single decoction were further identified to clarify the source of the chemical components in KXJD. Then， all identified blood-entering compounds were screened for effective active ingredients through the Swiss ADME database. The active ingredient targets of KXJD were searched on the Swiss Target Prediction platform. The targets of common psoriasis were searched in OMIM， GEO， GeneCards， and DISGNET databases to obtain drug-disease intersection targets. The protein-protein interaction network of intersection targets was constructed using STRING， and then the core blood-entering component-intersection target network of KXJD was constructed. The core target proteins in the network were selected for molecular docking with the core components of KXJD. Small molecules and proteins were pretreated， and appropriate docking sites were selected. AutoDock Vina software was used for continuous local search and repeated iterations to find molecular docking conformations. PyMOL software and LigPlot+ software were used for analysis and visualization. Subsequently， the verification was carried out through animal experiments. SPF-grade male C57 mice were randomly divided into a blank group， a model group， a positive drug methotrexate group， and a KXJD group. In the model group， the methotrexate group， and the KXJD group， imiquimod was applied to the backs of the mice for modeling. The blank group and the model group were administered normal saline by gavage， while the methotrexate group and the KXJD group were respectively administered 1 mg·kg^-1 suspension and 30.42 g·kg^-1 decoction of traditional Chinese medicine by gavage. Five days after administration， the mice were sacrificed， and samples were collected. Hematoxylin-eosin （HE） staining was used to observe the skin tissue samples of mice， and the effect of KXJD on the pathological manifestations of psoriasis mice was analyzed. The expression areas of tumor necrosis factor-α （TNF-α）， cyclooxygenase 2 （PTGS2）， interleukin （IL）-1β， and IL-6 in the skin tissue of mice were detected by immunohistochemistry （IHC）. The mRNA expressions of TNF-α， IL-1β， IL-6， and PTGS2 in the skin tissue of mice were detected by real-time fluorescent quantitative polymerase chain reaction （Real-time PCR）. ResultsIn this study， 208 compounds in KXJD were identified by UPLC-Q-TOF MS， and 44 compounds were detected in serum， including 28 prototype components and 16 metabolites. 12 blood-entering active components were screened， and 1 153 active component targets and 1 076 psoriasis-related targets were identified. Eighty-five targets in the intersection set were drug-disease common targets. PPI network analysis showed that TNF-α， IL-1β， IL-6， PTGS2， and ALB were the key target proteins. The results of molecular docking showed that the binding ability of （+）-hexylphenylglycolic acid to key target proteins such as PTGS2 was stable， and PTGS2 showed high stability with a variety of core compounds. Compared with those in the blank group， the stratum corneum and epidermis in the model group mice were significantly thickened， and the pathological Baker score of the mice's skin in the model group was significantly higher than that of the blank group （P<0.01）. The expression areas of PTGS2， TNF-α， IL-1β， and IL-6 proteins in the skin tissue of the model group mice were significantly increased （P<0.01）， and the expression levels of PTGS2， TNF-α， IL-1β， and IL-6 mRNA in the skin tissue of the model group mice were significantly elevated （P<0.01）. Compared with the model group， the pathological Baker scores of the methotrexate group and the KXJD group were both decreased （P<0.01）， and the expression areas in the skin tissue of the methotrexate group and the KXJD group were significantly reduced （P<0.05， P<0.01）. The expression levels of PTGS2， TNF-α， IL-1β， and IL-6 mRNA in the skin tissue of the methotrexate group and the KXJD group were significantly decreased （P<0.01）. ConclusionKXJD can effectively improve the skin lesions of psoriasis model mice and reduce the expression of TNF-α， IL-1β， IL-6， and PTGS2 in the skin tissue of psoriasis model mice. PTGS2 has a stable binding ability with a variety of compounds in the decoction， which may be a key target for the treatment of psoriasis. The compound （+）-hexylphenylglycolic acid may play a key role.

Objective:To compare the diagnostic value of contrast-enhanced ultrasound(CEUS)combined with conventional ultrasound and magnetic resonance imaging(MRI)in distinguishing benign and malignant non-mass lesions of breast.Methods:A retrospective analysis was conducted on 131 patients with non-mass lesions of breast(76 benign cases,55 malignant cases),who were pathologically confirmed at The 910th Hospital of People's Liberation Army Joint Service Support Force from January 2019 to January 2024.The CEUS and MRI characteristics between benign and malignant non-mass lesions of breast were compared.Using pathological results as the gold standard,the receiver operating characteristic(ROC)curve were employed to compare the area under curve(AUC)value,sensitivity and specificity of CEUS+conventional ultrasound and MRI in diagnosing malignant non-mass lesions of breast.The diagnostic performances of them on non-mass lesions with different sizes(maximum diameter<10 mm,10-20 mm,and>20 mm)were further explored.Results:Conventional ultrasound identified 131 non-mass lesions of breast,whereas MRI identified 79 non-mass lesions(60.31%),40 cases with mass-like lesions(30.53%),and 12 normal breast(9.16%).The overall consistency between conventional ultrasound and MRI was higher(Kappa=0.603).After CEUS combined with conventional ultrasound,38 lesions that were classified as BI-RADS 4 by conventional ultrasound downgraded to BI-RADS 3.In the 131 patients,the specificity(71.1%)of CEUS combined with conventional ultrasound was significantly higher than that(55.3%)of MRI,with a statistically significant difference(x2=5.775,P=0.016).For all patients,the AUC value(0.828)of CEUS combined with conventional ultrasound in diagnosing malignant non-mass lesions of breast was higher than that(0.776)of MRI(Z=3.246,P=0.006).Among of them,the diagnostic AUC value of CEUS combined with ultrasound was 0.842 for the patients whose size of the non-mass lesions of breast was between 10-20 mm,which was significantly larger than that(0.758)of MRI(Z=4.856,P<0.001).Conclusions:The diagnostic specificity of CEUS+conventional ultrasound is higher than that of MRI for malignant non-mass lesions of breast,which has a certain of advantage.

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.

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.

Objective:To investigate the clinical effect of the divisional design in composite labia minora and clitoral hood reduction.Methods:A retrospective analysis was performed on 57 patients diagnosed with labia minora and clitoral hood hypertrophy at Department of Plastic Surgery, Nanjing Medical University Friendship Plastic Surgery Hospital between July 2018 and May 2021. The ages of the patients ranged from 24 to 45 years with an average of (31.0±8.2) years. Preoperative symptoms and surgical demands included: appearance concerns in 57 cases (100%), irritation during friction in 49 cases (86.0%), and discomfort during intercourse in 22 cases (38.6%). The complex hypertrophy was divided into simple labia minora hypertrophy and clitoral hood hypertrophy. Then the reduction of clitoris hood was performed according to the prepuce morphology, and labiaplasty was performed using edge resection. The operative effects, patient satisfaction, and postoperative complications were assessed.Results:All incisions healed primarily with no flap necrosis or marginal infections. Hematoma occurred in 1 case which recovered well after timely treatment. All patients were followed up for 3-12 months. 54 cases were satisfied with the labia minora and clitoral hood shape and reported no sensory abnormality. Bilateral asymmetry occurred in 2 cases, one of which required further surgical repair. Scar hyperplasia occurred and was gradually softened after 6 months in 1 case. Of the 57 patients with appearance concerns, 55 (96.5%) patients reported improved appearance postoperatively. Of the 49 patients with preoperative friction discomfort, 47 (95.9%) patients achieved symptom relief. Of the 22 patients reporting sexual discomfort, 15 (68.1%) patients noted enhanced sexual satisfaction postoperatively. Overall, 54 (94.7%) patients were satisfied, 2 (3.5%) patients were moderately satisfied, and 1 (1.8%) patient was unsatisfied.Conclusions:For patients with labia minora and clitoral hood hypertrophy, the application of divisional design is surgically simple and safe. It achieves satisfactory outcomes with no severe adverse reactions.

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.

Objective:To compare the diagnostic value of contrast-enhanced ultrasound(CEUS)combined with conventional ultrasound and magnetic resonance imaging(MRI)in distinguishing benign and malignant non-mass lesions of breast.Methods:A retrospective analysis was conducted on 131 patients with non-mass lesions of breast(76 benign cases,55 malignant cases),who were pathologically confirmed at The 910th Hospital of People's Liberation Army Joint Service Support Force from January 2019 to January 2024.The CEUS and MRI characteristics between benign and malignant non-mass lesions of breast were compared.Using pathological results as the gold standard,the receiver operating characteristic(ROC)curve were employed to compare the area under curve(AUC)value,sensitivity and specificity of CEUS+conventional ultrasound and MRI in diagnosing malignant non-mass lesions of breast.The diagnostic performances of them on non-mass lesions with different sizes(maximum diameter<10 mm,10-20 mm,and>20 mm)were further explored.Results:Conventional ultrasound identified 131 non-mass lesions of breast,whereas MRI identified 79 non-mass lesions(60.31%),40 cases with mass-like lesions(30.53%),and 12 normal breast(9.16%).The overall consistency between conventional ultrasound and MRI was higher(Kappa=0.603).After CEUS combined with conventional ultrasound,38 lesions that were classified as BI-RADS 4 by conventional ultrasound downgraded to BI-RADS 3.In the 131 patients,the specificity(71.1%)of CEUS combined with conventional ultrasound was significantly higher than that(55.3%)of MRI,with a statistically significant difference(x2=5.775,P=0.016).For all patients,the AUC value(0.828)of CEUS combined with conventional ultrasound in diagnosing malignant non-mass lesions of breast was higher than that(0.776)of MRI(Z=3.246,P=0.006).Among of them,the diagnostic AUC value of CEUS combined with ultrasound was 0.842 for the patients whose size of the non-mass lesions of breast was between 10-20 mm,which was significantly larger than that(0.758)of MRI(Z=4.856,P<0.001).Conclusions:The diagnostic specificity of CEUS+conventional ultrasound is higher than that of MRI for malignant non-mass lesions of breast,which has a certain of advantage.

Objective:To investigate the clinical effect of the divisional design in composite labia minora and clitoral hood reduction.Methods:A retrospective analysis was performed on 57 patients diagnosed with labia minora and clitoral hood hypertrophy at Department of Plastic Surgery, Nanjing Medical University Friendship Plastic Surgery Hospital between July 2018 and May 2021. The ages of the patients ranged from 24 to 45 years with an average of (31.0±8.2) years. Preoperative symptoms and surgical demands included: appearance concerns in 57 cases (100%), irritation during friction in 49 cases (86.0%), and discomfort during intercourse in 22 cases (38.6%). The complex hypertrophy was divided into simple labia minora hypertrophy and clitoral hood hypertrophy. Then the reduction of clitoris hood was performed according to the prepuce morphology, and labiaplasty was performed using edge resection. The operative effects, patient satisfaction, and postoperative complications were assessed.Results:All incisions healed primarily with no flap necrosis or marginal infections. Hematoma occurred in 1 case which recovered well after timely treatment. All patients were followed up for 3-12 months. 54 cases were satisfied with the labia minora and clitoral hood shape and reported no sensory abnormality. Bilateral asymmetry occurred in 2 cases, one of which required further surgical repair. Scar hyperplasia occurred and was gradually softened after 6 months in 1 case. Of the 57 patients with appearance concerns, 55 (96.5%) patients reported improved appearance postoperatively. Of the 49 patients with preoperative friction discomfort, 47 (95.9%) patients achieved symptom relief. Of the 22 patients reporting sexual discomfort, 15 (68.1%) patients noted enhanced sexual satisfaction postoperatively. Overall, 54 (94.7%) patients were satisfied, 2 (3.5%) patients were moderately satisfied, and 1 (1.8%) patient was unsatisfied.Conclusions:For patients with labia minora and clitoral hood hypertrophy, the application of divisional design is surgically simple and safe. It achieves satisfactory outcomes with no severe adverse reactions.