1.Curcumin extraction and preparation and optimization of curcumin nanoparticles
Yuhang WANG ; Han ZHANG ; Chaojing ZHANG ; Xurong KOU ; Tongtong JING ; Rimei LIN ; Xinyu LIU ; Shilei LOU ; Hui YAN ; Cong SUN
Chinese Journal of Tissue Engineering Research 2026;30(2):362-374
BACKGROUND:Curcumin is the main active ingredient of turmeric and has significant medicinal value in anti-tumor,anti-inflammatory,antioxidant and other aspects.However,its poor water solubility,unstable chemical properties and easy decomposition lead to difficulty in extracting curcumin and low extraction yield.Therefore,it is particularly important to optimize the curcumin extraction method.OBJECTIVE:To enhance the extraction yield and utilization value of curcumin and optimize the curcumin extraction process and curcumin nanoparticle preparation process.METHODS:Curcumin was extracted from turmeric by ethanol extraction,ultrasonic extraction,ionic liquid extraction,enzyme extraction,and ionic liquid combined with ultrasonic assisted enzyme extraction.The curcumin extraction yield was detected by high performance liquid chromatography;the best extraction method was determined,and subsequent process optimization experiments were carried out.The curcumin extraction yield was the response value with the type of ionic liquid,reaction temperature,ultrasonic time,liquid-to-solid ratio,ionic liquid concentration,and enzyme-drug mass ratio as parameters.The optimal production process of ionic liquid combined with ultrasonic assisted enzyme extraction was determined by single factor combined response surface experiment.The optimal process for preparing curcumin nanoparticles by ionic crosslinking method was determined by single factor combined response surface experiment with acetic acid concentration,chitosan to sodium tripolyphosphate mass ratio,stirring rate,curcumin mass concentration,sodium tripolyphosphate mass concentration,and chitosan mass concentration as parameters,and drug encapsulation efficiency as response value.Curcumin nanoparticles were prepared under the optimal process,and the particle size,polydispersity index,Zata potential value,drug loading,stability,hemolysis rate,and antioxidant capacity in vivo and in vitro of the nanoparticles were detected.RESULTS AND CONCLUSION:(1)Among the five extraction methods,the curcumin yield of ionic liquid combined with ultrasound-assisted enzyme extraction was the highest,and this method was selected as the curcumin extraction method for subsequent experiments.The results of single factor combined response surface experiment showed that the optimal process for curcumin extraction was:ionic liquid selected 1-hexyl-3-methylimidazolium chloride,reaction temperature 55 ℃,liquid-to-solid ratio 40 mL/g,ultrasound time 57 minutes,ionic liquid concentration 57%,enzyme-drug mass ratio 3.5:10,and the obtained turmeric extraction yield was 3.10%.The optimal preparation process of curcumin nanoparticles was:glacial acetic acid concentration 0.5%,chitosan and sodium tripolyphosphate mass ratio 5.0:1,stirring speed 150 r/min,curcumin mass concentration 2.23 mg/mL,sodium tripolyphosphate mass concentration 1.45 mg/mL,chitosan mass concentration 3.63 mg/mL,and the obtained drug encapsulation efficiency was 90.61%.(2)The drug loading of curcumin nanoparticles was(14.49±0.23)%,the average particle size was(76.95±1.65)nm,the polydispersity coefficient was 0.15±0.02,and the Zata potential value was(32.37±1.46)mV.The curcumin nanoparticles had good stability and blood compatibility,did not induce hemolysis,and had stronger antioxidant capacity in vivo and in vitro than free curcumin.(3)The results show that the process optimization not only solves the problems of low extraction yield,poor solubility,and low bioavailability of curcumin,but also enhances its antioxidant activity in vivo and in vitro.
2.Endoscopic lumbar canal decompression for upper lumbar spinal stenosis:a comparison of biomechanical stability of three surgical models
Jingbo MA ; Guangnan YANG ; Jiang LIU ; Qiang JIANG ; Hanshuo ZHANG ; Jiaheng HAN ; Yu DING
Chinese Journal of Tissue Engineering Research 2026;30(3):577-585
BACKGROUND:Upper lumbar spinal stenosis is a multifactorial degenerative disorder of the spine.For narrowing of the spinal canal in the upper lumbar region(L1-L4),surgical decision-making is particularly complex.Existing minimally invasive surgeries each have their own advantages and limitations.Currently,there are few reports on biomechanical comparison and finite element analysis of different surgical methods for the treatment of high lumbar spinal stenosis.OBJECTIVE:To analyze the biomechanical impact of endoscopic unilateral laminotomy for bilateral decompression,transforaminal endoscopic lumbar decompression,and cross-overtop decompression in the treatment of upper lumbar spinal stenosis using endoscopy,and to verify the reliability and effectiveness of these three surgical techniques in treating upper lumbar spinal stenosis,providing a biomechanical basis for clinical decision-making.METHODS:The CT images of the lumbar spine of a healthy volunteer were selected,and the finite element model M0 of the normal lumbar L1-L5 segments was established using Mimics,Geomagic,Solid works,and Ansys software.The L2-L3 segment,representing upper lumbar characteristics,was chosen.Based on this model,the surgical models for endoscopic unilateral laminotomy for bilateral decompression(M1),transforaminal endoscopic lumbar decompression(M2),and cross-overtop decompression(M3)were established.Using software,the changes in the range of motion of the entire lumbar segment and the maximum Von Mises stress of the intervertebral discs were simulated and evaluated for each group of models under six loading conditions:flexion,extension,left lateral bending,right lateral bending,left rotation,and right rotation.RESULTS AND CONCLUSION:(1)Compared with model MO,the range of motion in M1,M2,and M3 increased under all six conditions,with M1 showing a greater increase.(2)M1 and M2 demonstrated significant increases in range of motion under forward bending,extension,and right rotation,while the increase under other conditions remained below 7%.(3)Compared with model M3,model M1 exhibited slightly increased overall joint range of motion during extension and left bending,while no significant changes were observed in other aspects,and the L1-L5 lumbar segments did not reach an unstable state.(4)In model M1,the maximum Von Mises stress of the intervertebral discs increased most significantly under flexion and extension loading conditions.However,under left lateral bending,right lateral bending,left rotation,and right rotation loading conditions,the increase did not exceed 5%.(5)These findings suggest that due to the sagittal anatomical characteristics of the facet joints,the unilateral laminotomy for bilateral decompression technique,while decompressing,involves resection of more facet joints,which impacts overall segmental stability.The transforaminal endoscopic lumbar decompression technique is suitable for patients with foraminal stenosis but cannot achieve complete decompression for those with severe ventral central stenosis.The Cross-Overtop technique effectively enlarges the volume of the central canal and lateral recess,optimizing decompression,and shows unique advantages in treating upper lumbar spinal stenosis.
3.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
4.Joint Relation Extraction of Famous Medical Cases with CasRel Model Combining Entity Mapping and Data Augmentation
Yuxin LI ; Xinghua XIANG ; Hang YANG ; Dasheng LIU ; Jiaheng WANG ; Zhiwei ZHAO ; Jiaxu HAN ; Mengjie WU ; Qianzi CHE ; Wei YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(2):218-225
ObjectiveTo address the challenges of unstructured classical Chinese expressions, nested entity relationships, and limited annotated data in famous traditional Chinese medicine(TCM) case records, this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping, aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction(CasRel) model for TCM semantics was designed, integrating a pre-trained bidirectional encoder representations from transformers(BERT) layer for classical TCM texts to enhance semantic representation, and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model, combining data augmentation and entity mapping, outperformed the pipeline-based Bert-Radical-Lexicon(BRL)-bidirectional long short-term memory(BiLSTM)-Attention model. The overall precision, recall, and F1-score across 12 relation types reached 65.73%, 64.03%, and 64.87%, which represent improvements of 14.26%, 7.98%, and 11.21% compared to the BRL-BiLSTM-Attention model, respectively. Notably, the F1-score for tongue syndrome relations increased by 22.68%(69.32%), and the prescription-syndrome relations performed the best with the F1-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts, offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation, prescription optimization, and drug compatibility, providing a methodological reference for TCM artificial intelligence research.
5.Exploration in Mechanism of Sini San for Inhibiting Ferroptosis and Ameliorating Isoprenaline-induced Myocardial Infarction in Mice Based on Bioinformatics and Experimental Validation
Shupeng LIU ; Zhiguang HAN ; Jiaying LI ; Jiayao XU ; Weihao GAO ; Yanping WU ; Guangguo BAN ; Yongmin LI ; Hongxia YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):67-77
ObjectiveTo explore the mechanism by which Sini San (SNS) inhibits ferroptosis, alleviates inflammation and myocardial injury, and improves myocardial infarction (MI). MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform (TCMSP) database, its target sites were predicted using the SwissTargetPrediction Database, and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards, Online Mendelian Inheritance in Man (OMIM) database, DrugBank, Therapeutic Target Database (TTD), FerrDb database and literature review, respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction (PPI) network was constructed using the STRING database, and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in, and the biological functions were clustered by the MCODE plug-in. Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group, the model group, the SNS group, and the trimetazidine (TMZ) group. The mice were subcutaneously injected with isoprenaline (ISO, 5 mg·kg-1·d-1) to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram (ECG), and the tissue morphology changes were observed by hematoxylin-eosin (HE) staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase (CK), creatine kinase isoenzyme (CK-MB), lactate dehydrogenase (LDH), reduced glutathione (GSH), and malondialdehyde (MDA) levels were detected by biochemical assay. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum levels of interleukin (IL)-6 and 4-hydroxynonenal (4-HNE). Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 (p-STAT3) in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6, IL-18, solute carrier family 7 member 11 (SLC7A11), arachidonic acid 15-lipoxygenase (ALOX15), and glutathione peroxidase 4 (GPx4) in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained, and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation, and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 (P0.01), down-regulated the expression of ALOX15 mRNA (P0.01), up-regulated the level of serum GSH, and the expressions of SLC7A11 and GPx4 mRNA, reduced MDA and 4-HNE levels (P0.05, P0.01). Additionally, SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis, reduced the area of MI, alleviated inflammation and myocardial injury, lowered the levels of serum CK, CK-MB, LDH, IL-6, and the mRNA expression levels of IL-16 and IL-18 (P0.05), and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels, inhibit ferroptosis in cardiomyocytes, alleviate inflammation and myocardial injury, thereby improving MI.
6.Herbal Textual Research on Inulae Flos in Famous Classical Formulas
Caixia LIU ; Yue HAN ; Yanzhu MA ; Lei GAO ; Sheng WANG ; Yan YANG ; Wenchuan LUO ; Ling JIN ; Jing SHAO ; Zhijia CUI ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):210-221
In this paper, by referring to ancient and modern literature, the textual research of Inulae Flos has been conducted to clarify the name, origin, production area, quality evaluation, harvesting, processing and others, so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research, it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties, Xuanfuhua has been taken as the official name, and it also has other alternative names such as Jinfeicao, Daogeng and Jinqianhua. The period before the Song and Yuan dynasties, the main origin of Inulae Flos was the Asteraceae plant Inula japonica, and from the Ming and Qing dynasties to the present, I. japonica and I. britannica are the primary source. In addition to the dominant basal species, there are also regional species such as I. linariifolia, I. helianthus-aquatili, and I. hupehensis. The earliest recorded production areas in ancient times were Henan, Hubei and other places, and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower, the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months, and dried in the sun, and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom, in order to remove impurities, dry in the shade or dry in the sun. In addition, the roots, whole herbs and aerial parts are used as medicinal materials. In ancient times, there were no records about the quality of Inulae Flos, and in modern times, it is generally believed that the quality of complete flower structure, small receptacles, large blooms, yellow petals, long filaments, many fluffs, no fragments, and no branches is better. Ancient processing methods primarily involved cleaning, steaming, and sun-drying, supplemented by techniques such as boiling, roasting, burning, simmering, stir-frying, and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties, ancient texts describe it as salty and sweet in taste, slightly warm in nature, and mildly toxic. Modern studies characterize it as bitter, pungent, and salty in taste, with a slightly warm nature. Its therapeutic effects remain consistent across eras, including descending Qi, resolving phlegm, promoting diuresis, and stopping vomiting. Based on the research results, it is recommended that when developing famous classical formulas containing Inulae Flos, either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements, where no processing instructions are specified, the raw products may be used after cleaning.
7.Exploration in Mechanism of Sini San for Inhibiting Ferroptosis and Ameliorating Isoprenaline-induced Myocardial Infarction in Mice Based on Bioinformatics and Experimental Validation
Shupeng LIU ; Zhiguang HAN ; Jiaying LI ; Jiayao XU ; Weihao GAO ; Yanping WU ; Guangguo BAN ; Yongmin LI ; Hongxia YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):67-77
ObjectiveTo explore the mechanism by which Sini San (SNS) inhibits ferroptosis, alleviates inflammation and myocardial injury, and improves myocardial infarction (MI). MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform (TCMSP) database, its target sites were predicted using the SwissTargetPrediction Database, and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards, Online Mendelian Inheritance in Man (OMIM) database, DrugBank, Therapeutic Target Database (TTD), FerrDb database and literature review, respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction (PPI) network was constructed using the STRING database, and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in, and the biological functions were clustered by the MCODE plug-in. Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group, the model group, the SNS group, and the trimetazidine (TMZ) group. The mice were subcutaneously injected with isoprenaline (ISO, 5 mg·kg-1·d-1) to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram (ECG), and the tissue morphology changes were observed by hematoxylin-eosin (HE) staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase (CK), creatine kinase isoenzyme (CK-MB), lactate dehydrogenase (LDH), reduced glutathione (GSH), and malondialdehyde (MDA) levels were detected by biochemical assay. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum levels of interleukin (IL)-6 and 4-hydroxynonenal (4-HNE). Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 (p-STAT3) in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6, IL-18, solute carrier family 7 member 11 (SLC7A11), arachidonic acid 15-lipoxygenase (ALOX15), and glutathione peroxidase 4 (GPx4) in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained, and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation, and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 (P0.01), down-regulated the expression of ALOX15 mRNA (P0.01), up-regulated the level of serum GSH, and the expressions of SLC7A11 and GPx4 mRNA, reduced MDA and 4-HNE levels (P0.05, P0.01). Additionally, SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis, reduced the area of MI, alleviated inflammation and myocardial injury, lowered the levels of serum CK, CK-MB, LDH, IL-6, and the mRNA expression levels of IL-16 and IL-18 (P0.05), and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels, inhibit ferroptosis in cardiomyocytes, alleviate inflammation and myocardial injury, thereby improving MI.
8.Herbal Textual Research on Inulae Flos in Famous Classical Formulas
Caixia LIU ; Yue HAN ; Yanzhu MA ; Lei GAO ; Sheng WANG ; Yan YANG ; Wenchuan LUO ; Ling JIN ; Jing SHAO ; Zhijia CUI ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):210-221
In this paper, by referring to ancient and modern literature, the textual research of Inulae Flos has been conducted to clarify the name, origin, production area, quality evaluation, harvesting, processing and others, so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research, it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties, Xuanfuhua has been taken as the official name, and it also has other alternative names such as Jinfeicao, Daogeng and Jinqianhua. The period before the Song and Yuan dynasties, the main origin of Inulae Flos was the Asteraceae plant Inula japonica, and from the Ming and Qing dynasties to the present, I. japonica and I. britannica are the primary source. In addition to the dominant basal species, there are also regional species such as I. linariifolia, I. helianthus-aquatili, and I. hupehensis. The earliest recorded production areas in ancient times were Henan, Hubei and other places, and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower, the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months, and dried in the sun, and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom, in order to remove impurities, dry in the shade or dry in the sun. In addition, the roots, whole herbs and aerial parts are used as medicinal materials. In ancient times, there were no records about the quality of Inulae Flos, and in modern times, it is generally believed that the quality of complete flower structure, small receptacles, large blooms, yellow petals, long filaments, many fluffs, no fragments, and no branches is better. Ancient processing methods primarily involved cleaning, steaming, and sun-drying, supplemented by techniques such as boiling, roasting, burning, simmering, stir-frying, and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties, ancient texts describe it as salty and sweet in taste, slightly warm in nature, and mildly toxic. Modern studies characterize it as bitter, pungent, and salty in taste, with a slightly warm nature. Its therapeutic effects remain consistent across eras, including descending Qi, resolving phlegm, promoting diuresis, and stopping vomiting. Based on the research results, it is recommended that when developing famous classical formulas containing Inulae Flos, either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements, where no processing instructions are specified, the raw products may be used after cleaning.
9.Effect of Qingfei Shenshi Decoction (清肺渗湿汤) Combined with Western Medicine on Clinical Effectiveness and Immune Function for Patients with Bronchial Asthma of Heat Wheezing Syndrome
Ying SUN ; Haibo HU ; Na LIU ; Fengchan WANG ; Jinbao ZONG ; Ping HAN ; Peng LI ; Guojing ZHAO ; Haoran WANG ; Xuechao LU
Journal of Traditional Chinese Medicine 2026;67(1):38-44
ObjectiveTo observe the clinical effectiveness and safety of Qingfei Shenshi Decoction (清肺渗湿汤) combined with western medicine for patients with bronchial asthma of heat wheezing syndrome, and to explore its potential mechanism of action. MethodsEighty-six participants with bronchial asthma of heat wheezing syndrome were randomly divided into treatment group and control group, each group with 43 participants. The control group received conventional western medicine, and the treatment group was additionally administered Qingfei Shenshi Decoction orally on the basis of the control group, 1 dose per day. Both groups were treated for 14 days. The primary outcome measure was clinical effectiveness; secondary outcome measures included traditional Chinese medicine (TCM) syndrome score, asthma control test (ACT) score, pulmonary function indices such as forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), peak expiratory flow (PEF), serum inflammatory factor levels including interleukin-4 (IL-4), tumour necrosis factor-α (TNF-α), and high-sensitivity C-reactive protein (hs-CRP), and immune function indices including CD3+, CD4+, CD8+, CD4+/CD8+. All outcome measures were evaluated before and after treatment. Vital signs were monitored, and electrocardiography, blood routine, urine routine, liver function, and renal function tests were performed before and after treatment. Adverse events and reactions during the study were recorded. ResultsA total of 80 patients completed the trial with 40 in each group. The total clinical effective rate of the treatment group was 97.5% (39/40), which was significantly higher than that of the control group (85.0%, 34/40, P<0.05). After treatment, both groups showed decreased TCM syndrome scores, IL-4, TNF-α, hs-CRP, and CD8+ levels, as well as increased ACT scores, CD3+, CD4+, CD4+/CD8+, FEV1, FVC, and PEF levels (P<0.05 or P<0.01). Moreover, the improvements in these indices were more significant in the treatment group than in the control group (P<0.05 or P<0.01). No significant abnormalities in safety indicators were observed in either group, and no adverse events or reactions occurred. ConclusionQingfei Shenshi Decoction combined with conventional western medicine for patients with bronchial asthma of heat wheezing syndrome can effectively improve the clinical symptoms, pulmonary function, and clinical effectiveness, with good safety. Its mechanism may be related to reducing inflammatory factor levels and regulating T lymphocyte subsets to improve immune function.
10.Improvement effects and mechanism of astragaloside Ⅳ on neuroinflammation
Mimi WANG ; Yonggang FENG ; Yun HAN ; Kaixin SHAN ; Fuyu LIU ; Mingsan MIAO ; Xiaoyan FANG
China Pharmacy 2026;37(1):30-35
OBJECTIVE To investigate the improvement effects and mechanism of astragaloside Ⅳ (AS- Ⅳ ) on lipopolysaccharide (LPS)-induced neuroinflammation. METHODS BV2 cells were divided into control group, LPS group, AS-Ⅳ groups at concentrations of 20 and 40 μmol/L, and dexamethasone group (2 μmol/L). Except for control group, neuroinflammation model was established with LPS (1 μg/mL) in other groups after medication. The levels of inflammatory factors [interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and nitric oxide (NO)] in cell supernatant were measured in each group. Mice were randomly divided into normal group, model group, positive control group (Aspirin enteric-coated tablet, 20 mg/kg), AS-Ⅳ low- and high-dose groups (10, 20 mg/kg), with 6 mice in each group. Mice in each group were administered the corresponding drug/normal saline via gavage/intraperitoneal injection, once a day, for 14 consecutive days. Except for normal group, other groups were intraperitoneally injected with LPS (250 μg/kg) 1 hour after daily administration of the drug/normal saline to establish neuroinflammation model. Serum levels of IL-6 and TNF-α were measured 2 h after the last medication; histopathological morphology of cerebral tissue in mice were observed; the co-localization of inducible nitric oxide synthase (iNOS)/ionized calcium binding adapter molecule 1 (Iba1) and CD206/Iba1 in the cerebral cortex region of mice was observed; the expressions of proteins related to the nuclear factor-κB (NF-κB)/mitogen-activated protein kinase (MAPK) signaling pathway in brain tissue of mice were also determined, including NF-κB p65, phosphorylated NF-κB p65(p-NF-κB p65), p38 MAPK, phosphorylated p38 MAPK (p-p38 MAPK), extracellular signal-regulated kinase (ERK), and phosphorylated ERK (p-ERK). RESULTS In the cell experiments, compared with control group, the levels of IL-6, TNF- α and NO in the cell supernatant of the LPS group were increased significantly (P<0.05); compared with LPS group, the levels of IL-6, TNF-α and NO were decreased significantly in the administration groups (P<0.05). In the animal experiments, compared with the normal group, the serum levels of IL-6 and TNF- α, the number of iNOS/Iba1 co-localization positive cells in the cerebral cortex, and the phosphorylation levels of p38 MAPK, NF- κB p65 and ERK proteins in brain tissue were all significantly increased/elevated in model group (P<0.05); the number of CD206/ Iba1 co-localization positive cells in the cerebral cortex region significantly decreased (P<0.05). The neurons in the cerebral cortex and the CA3 region of the hippocampus displayed a disordered arrangement. Compared with model group, above quantitative indexes of mice were all reversed significantly in administration groups (P<0.05); the neuronal cells in the cerebral cortex and the CA3 region of the hippocampus exhibited a relatively orderly arrangement. CONCLUSIONS AS-Ⅳ may inhibit the activation of the NF-κB/MAPK signaling pathway, promote the M2-type polarization of microglia, and thereby suppress neuroinflammatory responses.

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