Objective To explore the compatibility law of amenorrhea and commonly used local herbs in southwest China using hypergraph;To provide drug choice for the clinical treatment of modern TCM amenorrhea and promote the development and utilization of local Chinese materia medica resources.Methods In this study,the data of prescriptions for the treatment of amenorrhea in Southwest China were used as the data source.By constructing formulas related to amenorrhea-hypergraph(AFR-HG),the topological structure of AFR-HG was analyzed,and the core subnet was extracted according to the node weighted hypercentrality.Based on the sub-network AFR-HG-p1 extracted from the top 20 kinds of Chinese materia medica in AFR-HG,the Kumar algorithm was used to divide the efficacy community network.Results A total of 123 amenorrhea prescriptions were included in this study.Angelicae Sinensis Radix,Carthami Flos,Cyperi Rhizoma,Chuanxiong Rhizoma and other drugs with the efficacy of promoting blood circulation and removing blood stasis,soothing liver and regulating qi,and warming and tonifying were the main drugs with high frequency.Three layers of core subnets were extracted layer by layer through weighted hyper-centrality sorting.The first layer contained Angelicae Sinensis Radix,Chuanxiong Rhizoma,Hyperici Sampsonii Herba,etc.;the second layer of drugs were mainly Lycopi Herba,Rubiae Radix et Rhizoma,Bombycis Feculae,etc.;the third layer of drugs were mainly Ginseng Radix et Rhizoma Rubra,Moutan Cortex,Sargentodoxae Caulis and other drugs;based on the top 20 node overdose drugs,community drugs were obtained through community detection:the first community subnet was Armeniacae Semen Amarum,Draconis Sanguis,Corydalis Rhizoma,etc.,the second community subnet was Rubiae Radix et Rhizoma,Rosae Chinensis Flos,Hyperici Sampsonii Herba,etc.,and the third community subnet was Akebiae Caulis,Homalomenae Rhizoma,Bombycis Feculae,etc.Conclusion In prescriptions of amenorrhea in Southwest China,the treatment principles are basically consistent with modern clinical practice.In addition to commonly used drugs,local herbal medicines and similar medicines are also common.It is of great value to explore the rules of prescriptions for the development and utilization of Chinese materia medica resources.

Objective:To explore the effect of nursing scheme based on self-regulation theory (SRT) on self-efficacy and quality of life of patients with chronic pancreatitis, and to provide basis for better promoting patients′ rehabilitation.Methods:Using a non-random historical control study, 55 patients with chronic pancreatitis admitted to The Fifth Affiliated Hospital of Southern Medical University from November 2021 to October 2022 were classified as the control group, and 55 patients with chronic pancreatitis admitted from November 2022 to October 2023 were classified as the research group. The control group received routine nursing intervention, while the research group received SRT-based nursing intervention. Both groups received a 3-month intervention. The General Self-Efficacy Scale, Exercise of Self-Care Agency Scale, Self Rated Abilities for Health Practices Scale, and Gastrointestinal Quality of Life Index were used to evaluate the self-efficacy, self-care ability, health behavior, and quality of life of two groups before and after the intervention, and statistical comparisons were made.Results:Both groups of patients completed the study. There were 28 males and 27 females in the control group. The age was (45.33 ± 12.26) years old. There were 30 males and 25 females in the research group. The age was (45.48 ± 12.61) years old. After the intervention, the score of the self-efficacy in the research group was (29.32 ± 2.88) points, which was higher than that in the control group (19.28 ± 1.95) points, the difference was significant ( t=21.41, P<0.05). The scores of self-care skills, self-responsibility, self-concept, health knowledge and the total score of the self-care ability in the research group were (35.32 ± 2.31), (22.85 ± 1.42), (25.88 ± 1.93), (64.32 ± 5.22), (148.34 ± 8.33) points respectively. They were all higher than those of the control group (28.66 ± 1.77), (17.22 ± 1.23), (18.67 ± 1.86), (60.08 ± 4.52), (124.56 ± 8.92) points. The differences were significant ( t values were 4.55-22.23, all P<0.05). The scores of exercise, nutrition, health responsibility, psychological comfort and the total score of the health behavior in the research group were (25.58 ± 1.41), (25.02 ± 2.03), (24.31 ± 2.34), (25.16 ± 1.63), (100.05 ± 7.36) points respectively. They were all higher than those of the control group (22.31 ± 2.03), (20.15 ± 2.82), (20.16 ± 2.89), (21.15 ± 2.17), (83.79 ± 7.84) points. The differences were significant ( t values were 8.28-11.21, all P<0.05). The scores of social activity, psychological state, physiological function, self-conscious symptoms and the total score of the quality of life in the research group were (16.78 ± 1.26), (17.03 ± 1.85), (22.43 ± 1.96), (17.09 ± 0.88), (73.41 ± 4.22) points respectively. They were all higher than those of the control group (15.32 ± 1.15), (15.34 ± 1.76), (20.86 ± 1.59), (16.03 ± 0.75), (67.52 ± 4.18) points. The differences were significant ( t values were 4.61-7.35, all P<0.05). Conclusions:SRT-based nursing scheme can effectively improve the self-efficacy and self-care ability of patients with chronic pancreatitis, and improve their health behavior and quality of life.

Objective:To investigate the factors influencing the persistence of prostate specific antigen(PSA) following radical prostatectomy, and to develop and validate a predictive model for PSA persistence.Methods:Clinical data from 1 828 patients who underwent radical prostatectomy at Shanghai Changhai Hospital between January 2015 and December 2023 were retrospectively analyzed. Of these, 1 295 patients from January 2015 to April 2021 comprised the modeling group, while 533 patients from May 2021 to December 2023 formed the validation group. Additionally, 109 patients who underwent radical surgery at the Third Affiliated Hospital of Naval Medical University between March and December 2023 were included as an external validation group. Patients with incomplete clinical information, serum PSA levels exceeding 100 ng/ml, or those who received preoperative neoadjuvant therapy were excluded. Ultimately, 1 003, 369, and 86 patients were included in the modeling, validation, and external validation groups, respectively. The modeling group had serum PSA of 19.29 (8.43, 23.73) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 191, 673, 123, and 16 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 460, 466, and 77 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 363, 486, and 154 patients, respectively. The validation group had serum PSA of 12.80 (6.82, 14.40) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 40, 289, 37, and 3 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 218, 145, and 6 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 140, 184, and 45 patients, respectively. The external validation group had serum PSA of 12.84 (7.11, 12.97) ng/ml; the clinical stages were distributed as T 1, T 2 and T 3 in 9, 68, and 9 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 58, 27, and 1 patient, respectively; and the secondary Gleason scores were 3, 4, and 5 in 28, 50, and 8 patients, respectively. Logistic regression analysis was used to identify independent risk factors for PSA persistence after radical prostatectomy in the modeling group and a prediction model was constructed. The predictive performance of the model was analyzed using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve, the calibration curve, and the clinical decision curve. The predictive performance of the model was verified by the ROC curve in the validation group and the external validation group. Results:The incidence of persistent PSA after surgery in the modeling group, validation group, and external validation group was 8.97% (90/1 003), 7.32% (27/369), and 17.4% (15/86), respectively. In the modeling group, univariate and multivariate logistic regression analysis revealed that serum PSA, percentage of positive needle cores, primary Gleason score on biopsy, and secondary Gleason score on biopsy were independent risk factors for PSA persistence ( P<0.05), and a prediction model was constructed based on these factors. The AUC value of this model was 0.790 (95% CI 0.745-0.835). Calibration curve and clinical decision curve analyses showed that the model's predicted probabilities aligned well with actual risks within the 0-40% prediction interval, providing clinical benefit. The AUC values of the ROC curves in the validation group and external validation group were 0.808 (95% CI 0.719-0.897) and 0.822 (95% CI 0.714-0.929), respectively, indicating that the model had good predictive performance. Conclusions:The predictive model for PSA persistence, constructed based on serum PSA, percentage of positive needle cores, primary and secondary Gleason score on biopsy, demonstrated good clinical predictive performance, exhibiting high accuracy in both internal and cross-center validation.

Objective To explore the compatibility law of amenorrhea and commonly used local herbs in southwest China using hypergraph;To provide drug choice for the clinical treatment of modern TCM amenorrhea and promote the development and utilization of local Chinese materia medica resources.Methods In this study,the data of prescriptions for the treatment of amenorrhea in Southwest China were used as the data source.By constructing formulas related to amenorrhea-hypergraph(AFR-HG),the topological structure of AFR-HG was analyzed,and the core subnet was extracted according to the node weighted hypercentrality.Based on the sub-network AFR-HG-p1 extracted from the top 20 kinds of Chinese materia medica in AFR-HG,the Kumar algorithm was used to divide the efficacy community network.Results A total of 123 amenorrhea prescriptions were included in this study.Angelicae Sinensis Radix,Carthami Flos,Cyperi Rhizoma,Chuanxiong Rhizoma and other drugs with the efficacy of promoting blood circulation and removing blood stasis,soothing liver and regulating qi,and warming and tonifying were the main drugs with high frequency.Three layers of core subnets were extracted layer by layer through weighted hyper-centrality sorting.The first layer contained Angelicae Sinensis Radix,Chuanxiong Rhizoma,Hyperici Sampsonii Herba,etc.;the second layer of drugs were mainly Lycopi Herba,Rubiae Radix et Rhizoma,Bombycis Feculae,etc.;the third layer of drugs were mainly Ginseng Radix et Rhizoma Rubra,Moutan Cortex,Sargentodoxae Caulis and other drugs;based on the top 20 node overdose drugs,community drugs were obtained through community detection:the first community subnet was Armeniacae Semen Amarum,Draconis Sanguis,Corydalis Rhizoma,etc.,the second community subnet was Rubiae Radix et Rhizoma,Rosae Chinensis Flos,Hyperici Sampsonii Herba,etc.,and the third community subnet was Akebiae Caulis,Homalomenae Rhizoma,Bombycis Feculae,etc.Conclusion In prescriptions of amenorrhea in Southwest China,the treatment principles are basically consistent with modern clinical practice.In addition to commonly used drugs,local herbal medicines and similar medicines are also common.It is of great value to explore the rules of prescriptions for the development and utilization of Chinese materia medica resources.

Objective:To investigate the factors influencing the persistence of prostate specific antigen(PSA) following radical prostatectomy, and to develop and validate a predictive model for PSA persistence.Methods:Clinical data from 1 828 patients who underwent radical prostatectomy at Shanghai Changhai Hospital between January 2015 and December 2023 were retrospectively analyzed. Of these, 1 295 patients from January 2015 to April 2021 comprised the modeling group, while 533 patients from May 2021 to December 2023 formed the validation group. Additionally, 109 patients who underwent radical surgery at the Third Affiliated Hospital of Naval Medical University between March and December 2023 were included as an external validation group. Patients with incomplete clinical information, serum PSA levels exceeding 100 ng/ml, or those who received preoperative neoadjuvant therapy were excluded. Ultimately, 1 003, 369, and 86 patients were included in the modeling, validation, and external validation groups, respectively. The modeling group had serum PSA of 19.29 (8.43, 23.73) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 191, 673, 123, and 16 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 460, 466, and 77 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 363, 486, and 154 patients, respectively. The validation group had serum PSA of 12.80 (6.82, 14.40) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 40, 289, 37, and 3 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 218, 145, and 6 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 140, 184, and 45 patients, respectively. The external validation group had serum PSA of 12.84 (7.11, 12.97) ng/ml; the clinical stages were distributed as T 1, T 2 and T 3 in 9, 68, and 9 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 58, 27, and 1 patient, respectively; and the secondary Gleason scores were 3, 4, and 5 in 28, 50, and 8 patients, respectively. Logistic regression analysis was used to identify independent risk factors for PSA persistence after radical prostatectomy in the modeling group and a prediction model was constructed. The predictive performance of the model was analyzed using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve, the calibration curve, and the clinical decision curve. The predictive performance of the model was verified by the ROC curve in the validation group and the external validation group. Results:The incidence of persistent PSA after surgery in the modeling group, validation group, and external validation group was 8.97% (90/1 003), 7.32% (27/369), and 17.4% (15/86), respectively. In the modeling group, univariate and multivariate logistic regression analysis revealed that serum PSA, percentage of positive needle cores, primary Gleason score on biopsy, and secondary Gleason score on biopsy were independent risk factors for PSA persistence ( P<0.05), and a prediction model was constructed based on these factors. The AUC value of this model was 0.790 (95% CI 0.745-0.835). Calibration curve and clinical decision curve analyses showed that the model's predicted probabilities aligned well with actual risks within the 0-40% prediction interval, providing clinical benefit. The AUC values of the ROC curves in the validation group and external validation group were 0.808 (95% CI 0.719-0.897) and 0.822 (95% CI 0.714-0.929), respectively, indicating that the model had good predictive performance. Conclusions:The predictive model for PSA persistence, constructed based on serum PSA, percentage of positive needle cores, primary and secondary Gleason score on biopsy, demonstrated good clinical predictive performance, exhibiting high accuracy in both internal and cross-center validation.

Objective:To explore the effect of nursing scheme based on self-regulation theory (SRT) on self-efficacy and quality of life of patients with chronic pancreatitis, and to provide basis for better promoting patients′ rehabilitation.Methods:Using a non-random historical control study, 55 patients with chronic pancreatitis admitted to The Fifth Affiliated Hospital of Southern Medical University from November 2021 to October 2022 were classified as the control group, and 55 patients with chronic pancreatitis admitted from November 2022 to October 2023 were classified as the research group. The control group received routine nursing intervention, while the research group received SRT-based nursing intervention. Both groups received a 3-month intervention. The General Self-Efficacy Scale, Exercise of Self-Care Agency Scale, Self Rated Abilities for Health Practices Scale, and Gastrointestinal Quality of Life Index were used to evaluate the self-efficacy, self-care ability, health behavior, and quality of life of two groups before and after the intervention, and statistical comparisons were made.Results:Both groups of patients completed the study. There were 28 males and 27 females in the control group. The age was (45.33 ± 12.26) years old. There were 30 males and 25 females in the research group. The age was (45.48 ± 12.61) years old. After the intervention, the score of the self-efficacy in the research group was (29.32 ± 2.88) points, which was higher than that in the control group (19.28 ± 1.95) points, the difference was significant ( t=21.41, P<0.05). The scores of self-care skills, self-responsibility, self-concept, health knowledge and the total score of the self-care ability in the research group were (35.32 ± 2.31), (22.85 ± 1.42), (25.88 ± 1.93), (64.32 ± 5.22), (148.34 ± 8.33) points respectively. They were all higher than those of the control group (28.66 ± 1.77), (17.22 ± 1.23), (18.67 ± 1.86), (60.08 ± 4.52), (124.56 ± 8.92) points. The differences were significant ( t values were 4.55-22.23, all P<0.05). The scores of exercise, nutrition, health responsibility, psychological comfort and the total score of the health behavior in the research group were (25.58 ± 1.41), (25.02 ± 2.03), (24.31 ± 2.34), (25.16 ± 1.63), (100.05 ± 7.36) points respectively. They were all higher than those of the control group (22.31 ± 2.03), (20.15 ± 2.82), (20.16 ± 2.89), (21.15 ± 2.17), (83.79 ± 7.84) points. The differences were significant ( t values were 8.28-11.21, all P<0.05). The scores of social activity, psychological state, physiological function, self-conscious symptoms and the total score of the quality of life in the research group were (16.78 ± 1.26), (17.03 ± 1.85), (22.43 ± 1.96), (17.09 ± 0.88), (73.41 ± 4.22) points respectively. They were all higher than those of the control group (15.32 ± 1.15), (15.34 ± 1.76), (20.86 ± 1.59), (16.03 ± 0.75), (67.52 ± 4.18) points. The differences were significant ( t values were 4.61-7.35, all P<0.05). Conclusions:SRT-based nursing scheme can effectively improve the self-efficacy and self-care ability of patients with chronic pancreatitis, and improve their health behavior and quality of life.

Objective:To reveal the effect of β-sitosterol on cerebral ischemia-reperfusion injury (CIRI) in rats and whether its mechanism is related to endoplasmic reticulum stress (ERS).Methods:Fifty-three CIRI rats (CIRI models established by modified Longa method) were randomly divided into model group ( n=14), β-sitosterol low-dose group ( n=13), β-sitosterol medium-dose group ( n=13) and β-sitosterol high-dose group ( n=13); 12 rats underwent the same operation without blocking the middle cerebral artery were selected as sham-operated group. Rats in the sham-operated group and model group were given intragastric administration of 1 mL 5 g/L sodium carboxymethyl cellulose daily. Rats in the β-sitosterol low-dose group, β-sitosterol medium-dose group and β-sitosterol high-dose group were given intragastric administration of 1 mL β-sitosterol at 10, 20 and 40 mg/kg/d (dissolved in 5 g/L sodium carboxymethyl cellulose), respectively, for 14 consecutive d. Neurological function was evaluated according to Zea Longa 5 method. Rats were sacrificed and brain tissues were collected. Volume of cerebral infarction was measured by 2,3,5-triphenyl tetrazolium chloride (TTC) staining. Brain injury and neuronal apoptosis were evaluated by HE staining, Nissl staining and TUNEL. Superoxide dismutase (SOD), glutathione peroxidase (GSH-Px) and malondialdehyde (MDA) contents were detected by water-soluble tetrazolium 1 (WST-1) method, colorimetric method or thiobarbituric acid (TBA) method, respectively. The mRNA and protein expression levels of protein kinase R-like endoplasmic reticulum kinase (PERK), inositol-requiring enzyme-1 (IRE-1), activated transcription factor-6 (ATF-6), glucose-regulated protein 78 (GRP78), C/EBP homologous protein (CHOP) and Caspase-12 in the brain tissues were detected by qRT-PCR or Western blotting. Results:Compared with the sham-operated group, the model group had significantly increased neurological function score, cerebral infarction volume and TUNEL positive rate, decreased SOD and GSH-Px content, increased MDA content, and increased mRNA and protein expressions of PERK, IRE-1, ATF-6, GRP78, CHOP and Caspase-12 ( P<0.05). Compared with the model group, the β-sitosterol low-dose group, β-sitosterol medium-dose group and β-sitosterol high-dose group had significantly decreased neurological function score, cerebral infarction volume, and TUNEL positive rate, increased SOD and GSH-Px content, and decreased MDA content ( P<0.05); the β-sitosterol low-dose group, β-sitosterol medium-dose group and β-sitosterol high-dose group had significantly decreased mRNA and protein PERK expressions (mRNA: 2.17±0.17, 1.79±0.07 and 1.33±0.07; protein: 5.11±0.52, 2.91±0.26 and 1.98±0.17), IRE-1 expressions (mRNA: 1.75±0.18, 1.65±0.08 and 1.32±0.08; protein: 5.00±0.31, 4.05±0.27 and 1.98±0.14), ATF-6 expressions (mRNA: 2.24±0.12, 1.77±0.14 and 1.37±0.13; protein: 4.93±0.45, 4.04±0.30 and 3.10±0.20), GRP78 expressions (mRNA: 2.67±0.16, 2.11±0.16 and 1.69±0.11; protein: 5.02±0.38, 2.97±0.26 and 2.05±0.22), CHOP expressions (mRNA: 2.01±0.16, 1.70±0.19 and 1.40±0.10; protein: 4.92±0.39, 4.02±0.27 and 3.08±0.22) and Caspase-12 expressions (mRNA: 1.85±0.09, 1.61±0.09 and 1.30±0.09; protein: 3.03±0.20, 2.19±0.11 and 1.82±0.11) compared with the model group (mRNA: 2.99±0.28, 2.27±0.12, 2.57±0.21, 3.46±0.20, 2.50±0.23 and 2.35±0.16; protein: 6.98±0.48, 6.03±0.58, 5.98±0.63, 7.10±0.45, 6.00±0.53 and 5.02±0.43, P<0.05). Conclusion:β-sitosterol attenuates CIRI in rats, whose mechanism may be related to inhibition of ERS signal pathway.

Objective To explore the feasibility of automating the measurement of abduction angle after total hip arthroplasty(THA)on postoperative radiographs by using deep learning algorithms.Methods The data were retrospectively collected.A total of 381 cases were used to develop deep learning model.Two radiologists annotated the key points on the images(lateral-superior point and medial-inferior point of acetabular cups,tear drops).The data was split into training dataset(304 cases),tuning dataset(38 cases),and test dataset(39 cases).A 2D U-net model was trained to segment the key points and the abduction angle were automatically meas-ured.After development of the model,an external validation dataset was collected(143 cases).Dice similarity coefficient(DSC)and mean absolute error(MAE)were used to evaluate the prediction efficiency of the model in the test dataset and the external validation dataset.Bland-Altman test was used to analyze the agreement between the abduction angle measured automatically by the model and the physician measurement.Results The DSC were 0.870-0.905 and 0.690-0.750 in the test dataset and the external validation dataset,and the corresponding MAE were 0.311-0.561 and 0.951-1.310.For the result of Bland-Altman analysis,only 6.52％(3/46)and 2.08％(3/144)of the abduction angle measurements in the test dataset and external validation dataset were outside the 95％limit of agreement(LoA).In the qualitative evaluation of the abduc-tion angle,the agreement of the model with the physician were 97.8％and 90.3％in the test dataset and the external validation dataset.Conclusion It is feasible to use deep learning algorithms to automatically measure the abduction angle after THA on X-ray images,achieving similar accuracy to that of physician.

OBJECTIVE To establish a quantitative analysis model for the contents of tussilagone， moisture， ethanol-soluble extract and total ash in Farfarae Flos based on near-infrared spectroscopy （NIRS）， providing a new idea for the rapid quality evaluation of Farfarae Flos and its preparations. METHODS Referring to the 2020 edition of the Chinese Pharmacopoeia， the contents of the main quality control indexes tussilagone， moisture， ethanol-soluble extract and total ash in 130 batches of Farfarae Flos from 19 producing areas were determined by HPLC， drying method， hot dip method and ash assay， respectively. The NIRS data information of the medicinal herbs of Farfarae Flos was collected， and then NIRS combined with the partial least squares method was used to establish the individual quantitative analysis models of the above quality control indexes in the samples， and the predictive model of the NIRS content was obtained after sample validation with validation set. RESULTS The range for the contents of tussilagone， moisture， ethanol-soluble extract and total ash in 130 batches of Farfarae Flos were 0.051 4%-0.103 5%， 7.75%-10.93%， 20.17%-31.12%， and 7.68%-12.10%， respectively. The internal cross-validation coefficients of determination （R2） of the established models for the quantitative analysis of tussilagone， moisture， ethanol-soluble extract and total ash in Farfarae Flos were 0.985 8， 0.968 4， 0.973 4， 0.988 0， respectively； the root mean square errors of calibration （RMSEC） were 0.001 54， 0.187， 0.478， 0.127， respectively； the root mean square errors of prediction （RMSEP） were 0.001 81， 0.212， 0.543， 0.149， respectively； RMSEP/RMSEC were 1.175 3， 1.133 7， 1.136 0 and 1.173 2， respectively， which were all within a reasonable range （1＜RMSEP/RMSEC≤1.2）. The mean absolute errors between the true and model-predicted values of the above four quality control indexes in the validation set of samples were －0.000 36， 0.061 43， 0.144 00， and 0.010 43， respectively，and the mean predicted recoveries were 99.65%， 100.72%，100.66%， and 100.15%， respectively. CONCLUSIONS The established NIRS quantitative analysis model has high stability and reliable results， which can be used for the rapid batch prediction of the content of relevant quality control indexes in Farfarae Flos.

Active herbal ingredients are gaining recognition for their potent anti-tumor efficacy, attributable to various mechanisms including tumor cell inhibition, immune system activation, and tumor angiogenesis inhibition. Recent studies have revealed that numerous anti-tumor herbal ingredients, such as ginsenosides, ursolic acid, oleanolic acid, and Angelica sinensis polysaccharides, can be utilized to develop smart drug carriers like liposomes, micelles, and nanoparticles. These carriers can deliver active herbal ingredients and co-deliver anti-tumor drugs to enhance drug accumulation at tumor sites, thereby improving anti-tumor efficacy. This study provides a comprehensive analysis of the mechanisms by which these active herbal ingredients-derived carriers enhance therapeutic outcomes. Additionally, it highlights the structural properties of these active herbal ingredients, demonstrating how their unique features can be strategically employed to design smart drug carriers with improved anti-tumor efficacy. The insights presented aim to serve as a reference and guide future innovations in the design and application of smart drug carriers for cancer therapy that leverage active herbal ingredients.
Humans ; Neoplasms/drug therapy* ; Drug Delivery Systems ; Drug Carriers/chemistry* ; Animals ; Drugs, Chinese Herbal/therapeutic use* ; Antineoplastic Agents, Phytogenic/administration & dosage* ; Nanoparticles/chemistry* ; Antineoplastic Agents/administration & dosage*