This study aims to establish the S_(180) tumor-bearing mice model, and to investigate the influence of Shenqi Erpi Granules(SQEPG) on immune function, as well as the drug's tumor-suppressive effect and mechanism. SPF grade KM mice(half male and half female) were randomly divided into 6 groups: a control group, a model group, a cyclophosphamide group(50 mg·kg~(-1)), as well as SQEPG groups in low-, medium-, and high-dose(5.25, 10.5, 21 g·kg~(-1)). The control group and the model group were given distilled water, and the other 4 groups were given the corresponding drugs by gavage. The administration continued for 10 days before the mice were sacrificed. The antitumor and immune regulation effects of SQEPG were evaluated. The effect of SQEPG on delayed type hypersensitivity reaction(DTH), carbon clearance index, and serum hemolysin antibody level was observed to reflect the effect on the immune function of tumor-bearing mice. Tumor weight was recorded to calculate the tumor suppression rate and the immune organ index. Hematoxylin-eosin(HE) staining was used to detect morphological changes in tumor tissues. Flow cytometry was employed to detect the percentage of CD4~+ and CD8~+ T-cells in the spleen tissues and the tumor tissue apoptosis levels. Immunohistochemistry was conducted to detect the KI67 protein expression level of tumor tissues. ELISA resorted to the detection of the following expression levels in tumor tissues: tumor necrosis factor-α(TNF-α), interleukin-2(IL-2), interferon-γ(IFN-γ). Western blot was performed to detect the expression levels of caspase-3, B-cell lymphoma-2(Bcl-2), Bcl-2-associated X protein(Bax), cyclin-dependent kinases 4(CDK4), G_1/S-specific cyclin D1(cyclin D1), and vascular endothelial growth factor A(VEGFA). The results showed that, compared with the model group, the SQEPG could increase the swelling of the auricle of the tumor-bearing mice; significantly increase the phagocytic index of carbon granule contour(P<0.05 or P<0.01), and the middle dose of SQEPG could significantly increase the antibody level of hemolysin(P<0.05); different doses of SQEPG significantly inhibit the growth of the tumor, and decrease the mass of the tumor tissues(P<0.05 or P<0.01); the low dose of SQEPG significantly decreased spleen index(P<0.05), low and high doses of SQEPG increased thymus index, while medium doses of SQEPG decreased thymus index. High doses of SQEPG significantly elevated the levels of CD4~+ and CD8~+ T-cells in the spleens of the homozygous mice(P<0.01 or P<0.001), and increased the apoptosis rate of the cells of the tumor tissues(P<0.05); Meanwhile, high-dose SQEPG elevated the levels of immunity factors such as IL-2, IFN-γ and TNF-α in the serum of tumor-bearing mice(P<0.01); medium-and high-dose SQEPG significantly lowered the rate of positive expression of KI67 protein in tumor tissues(P<0.01). Compared with the model group, high-dose SQEPG significantly up-regulated the expression of caspase-3 and Bax proteins in tumor tissues(P<0.05), and significantly down-regulated the expression of CDK4, cyclin D1, and VEGFA proteins(P<0.05 or P<0.01). In conclusion, SQEPG has the effect of improving immune function and inhibiting tumor growth in tumor-bearing mice. Its mechanism of tumor-suppressive effects may be related to apoptosis promotion, cell cycle progression block, and tumor cell proliferation inhibition.
Animals ; Mice ; Drugs, Chinese Herbal/pharmacology* ; Male ; Female ; Apoptosis/drug effects* ; Sarcoma 180/genetics* ; Humans

OBJECTIVE: Rheumatoid arthritis (RA) is a systemic autoimmune disease that affects the small joints of the whole body and degrades the patients' quality of life. Zhengqing Fengtongning (ZF) is a traditional Chinese medicine preparation used to treat RA. ZF may cause liver injury. In this study, we aimed to develop a prediction model for abnormal liver function caused by ZF. METHODS: This retrospective study collected data from multiple centers from January 2018 to April 2023. Abnormal liver function was set as the target variable according to the alanine transaminase (ALT) level. Features were screened through univariate analysis and sequential forward selection for modeling. Ten machine learning and deep learning models were compared to find the model that most effectively predicted liver function from the available data. RESULTS: This study included 1,913 eligible patients. The LightGBM model exhibited the best performance (accuracy = 0.96) out of the 10 learning models. The predictive metrics of the LightGBM model were as follows: precision = 0.99, recall rate = 0.97, F1_score = 0.98, area under the curve (AUC) = 0.98, sensitivity = 0.97 and specificity = 0.85 for predicting ALT < 40 U/L; precision = 0.60, recall rate = 0.83, F1_score = 0.70, AUC = 0.98, sensitivity = 0.83 and specificity = 0.97 for predicting 40 ≤ ALT < 80 U/L; and precision = 0.83, recall rate = 0.63, F1_score = 0.71, AUC = 0.97, sensitivity = 0.63 and specificity = 1.00 for predicting ALT ≥ 80 U/L. ZF-induced abnormal liver function was found to be associated with high total cholesterol and triglyceride levels, the combination of TNF-α inhibitors, JAK inhibitors, methotrexate + nonsteroidal anti-inflammatory drugs, leflunomide, smoking, older age, and females in middle-age (45-65 years old). CONCLUSION This study developed a model for predicting ZF-induced abnormal liver function, which may help improve the safety of integrated administration of ZF and Western medicine. Please cite this article as: Yu Z, Kou F, Gao Y, Lyu CM, Gao F, Wei H. A machine learning model for predicting abnormal liver function induced by a Chinese herbal medicine preparation (Zhengqing Fengtongning) in patients with rheumatoid arthritis based on real-world study. J Integr Med. 2025; 23(1): 25-35.
Humans ; Arthritis, Rheumatoid/drug therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Female ; Middle Aged ; Male ; Retrospective Studies ; Machine Learning ; Adult ; Aged ; Liver/physiopathology* ; Alanine Transaminase/blood*

Objective:Near-infrared(NIR)spectroscopy technology faces the problem of insufficient model generalization due to individual differences in non-invasive blood glucose testing,in order to solve this problem,to improve data utilization,and to build predictive models with stronger generalization ability,this study introduces a transfer learning method to study the NIR spectroscopy non-invasive glucose testing.Methods:Migration learning is a machine learning technique that aims to improve task performance in the target domain by transferring knowledge from the source domain to the target domain.In this study,we used community population data as the source domain and student population data as the target domain to improve the performance of the noninvasive glucose detection model on the target domain.In order to verify the effectiveness of migration learning,this study compares the performance of the model before and after migration learning.Results:the model's performance on the noninvasive glucose detection task is significantly improved by the migration learning strategy,and the MAPE and MAE of the migrated model decreases by 52.5460％and 6.0805％,respectively,and the RMSE and MSE decreases by 10.7215％and 12.1135％.Conclusions:This study demonstrates the promising application of transfer learning in the field of non-invasive blood glucose detection,which is expected to realize portable and continuous blood glucose monitoring in the future by migrating the features that are difficult to access in the source domain but are related to blood glucose values to the target domain,which will greatly improve the quality of life of diabetic patients.Advances in noninvasive glucose testing technology will not only reduce patients' pain,but also provide a more convenient means of glucose monitoring,which will provide strong support for diabetes management.

Objective:Near-infrared(NIR)spectroscopy technology faces the problem of insufficient model generalization due to individual differences in non-invasive blood glucose testing,in order to solve this problem,to improve data utilization,and to build predictive models with stronger generalization ability,this study introduces a transfer learning method to study the NIR spectroscopy non-invasive glucose testing.Methods:Migration learning is a machine learning technique that aims to improve task performance in the target domain by transferring knowledge from the source domain to the target domain.In this study,we used community population data as the source domain and student population data as the target domain to improve the performance of the noninvasive glucose detection model on the target domain.In order to verify the effectiveness of migration learning,this study compares the performance of the model before and after migration learning.Results:the model's performance on the noninvasive glucose detection task is significantly improved by the migration learning strategy,and the MAPE and MAE of the migrated model decreases by 52.5460％and 6.0805％,respectively,and the RMSE and MSE decreases by 10.7215％and 12.1135％.Conclusions:This study demonstrates the promising application of transfer learning in the field of non-invasive blood glucose detection,which is expected to realize portable and continuous blood glucose monitoring in the future by migrating the features that are difficult to access in the source domain but are related to blood glucose values to the target domain,which will greatly improve the quality of life of diabetic patients.Advances in noninvasive glucose testing technology will not only reduce patients' pain,but also provide a more convenient means of glucose monitoring,which will provide strong support for diabetes management.

Objective To evaluate the effects of anterior cruciate ligament (ACL) reconstruction timing on the motor performance and proprioception by clinical evaluation as well as proprioception and motor performance tests on the patients more than 2 years after ACL reconstruction. Methods The patients who underwent ACL reconstruction in the National Institute of Sports Medicine,General Administration of Sport of China from January 2015 to January 2021 and met the inclusion criteria were followed up,and the postoperative data were collected retrospectively.Fifty-six patients who met the inclusion criteria were included in this study and categorized into two groups:early surgery (n=28,who underwent ACL reconstruction ≤3 weeks after injury) and delayed surgery (n=28,who underwent ACL reconstruction >3 weeks after injury).The basic information,clinical evaluation results,proprioception,and motor performance were compared between the two groups. Results The ACL return to sport after injury scale (ACL-RSI) score in the early surgery group was higher than that in the delayed surgery group [(68.68±22.04)scores vs. (55.82±24.87)scores,P=0.045].There was no difference in the range of motion of the knee joint,the positive rate of pivot shift test,or the scores of Tegner,Marx,Lysholm,knee injury and osteoarthritis outcome score (KOOS),and international knee documentation committee (IKDC) between the two groups (all P>0.05).Although there was no significant difference in range of motion of the knee joint between the two groups,the proportion of knee flexion and extension affected in the early surgery group was smaller than that in the delayed surgery group.Neither motor performance (isokinetic strength test,Y-balance test,and single-leg jump test) nor proprioception had difference between the two groups (all P>0.05). Conclusions Early ACL reconstruction outperformed delayed ACL reconstruction in improving the psychological health,emotions,and confidence in returning to sport,accelerating functional recovery of the patients.The timing of ACL reconstruction has no significant effect on the short-term postoperative knee stability,knee function,motor performance,or proprioceptive recovery of the patients.Early ACL reconstruction is recommended for improving the clinical outcomes.
Humans ; Anterior Cruciate Ligament Reconstruction/methods* ; Proprioception/physiology* ; Retrospective Studies ; Male ; Female ; Range of Motion, Articular ; Anterior Cruciate Ligament Injuries/physiopathology* ; Adult ; Postoperative Period ; Time Factors ; Return to Sport ; Recovery of Function ; Knee Joint/physiopathology* ; Young Adult

Objective To evaluate the effects of knee flexor and extensor strength on the subjective function and motor performance of knees after anterior cruciate ligament reconstruction. Methods A total of 53 patients who underwent anterior cruciate ligament reconstruction in the National Institute of Sports Medicine,General Administration of Sport of China from June 2015 to June 2021 and met the inclusion criteria were enrolled in this study.The patients were followed up time for at least 2 years.An isometric muscle strength test system was used to measure the strength of bilateral quadriceps and hamstring muscles.The patients were grouped according to whether the limb symmetry index (LSI) of peak torque of quadriceps and hamstring muscle reached 85% at an angular velocity of 60°/s.Specifically,26 patients were classified into group A (LSI≥85%) and 27 patients were classified into group B (LSI<85%).The subjective function and motor performance of knees were compared between the two groups. Results In terms of subjective function of knees,the international knee documentation committee (IKDC) score (88.76±9.93 vs. 81.08±12.57,P=0.017) and knee injury and osteoarthritis outcome score (KOOS) (86.27±8.96 vs. 80.22±11.31,P=0.036) were different between groups A and B.There was no significant difference in Lysholm score [95.0 (79.8,100.00) vs. 86.00 (66.00,100.00),P=0.238],ACL return to sports after injury scale score (66.08±22.25 vs. 61.12±23.53,P=0.434),Marx score [6.00 (4.75,7.00) vs. 6.00 (4.00,7.00),P=0.805] or Tegner activity score [8.00 (4.00,12.00) vs. 4.00 (2.00,12.00),P=0.566] between the two groups.In terms of motor performance,the single-leg triple hop LSI (0.92±0.13 vs. 0.81±0.18,P=0.016) and single-leg crossover hop LSI (0.96±0.12 vs. 0.84±0.22,P=0.021) showed significant differences between groups A and B,while there was no significant difference in single-leg hop LSI (0.90±0.18 vs. 0.79±0.25,P=0.116) between the two groups.In addition,there was no statistical significance in proprioception [30°:8.83±4.66 vs. 10.73±4.63,P=0.143;45°:6.94±3.82 vs. 7.66±3.93,P=0.504;60°:4.10 (3.20,4.72) vs. 3.90 (2.30,5.20),P=0.493] or Y-balance test results [anterior LSI:0.98 (0.84,1.02) vs. 0.94 (0.86,0.98),P=0.328;posterolateral LSI:1.00±0.08 vs. 0.97±0.07,P=0.249;posteromedial LSI:1.00 (0.97,1.03) vs. 0.96 (0.93,1.03),P=0.179] between groups A and B. Conclusion The patients with good symmetry of quadriceps and hamstring muscle strength after anterior cruciate ligament reconstruction had better subjective function and movement performance of knees than the patients with poor symmetry,which was mainly reflected in the IKDC score,KOOS,single-leg triple hop,and single-leg crossover hop.
Humans ; Anterior Cruciate Ligament Reconstruction ; Muscle Strength/physiology* ; Male ; Quadriceps Muscle/physiology* ; Female ; Adult ; Anterior Cruciate Ligament Injuries/physiopathology* ; Hamstring Muscles/physiopathology* ; Knee Joint/physiopathology* ; Anterior Cruciate Ligament/physiopathology* ; Torque ; Knee/physiopathology*

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

Objective:To investigate the factors influencing fall risk scores in elderly individuals.Methods:A total of 4 419 individuals were randomly selected using the cluster sampling method from Beijing, Nanning(Guangxi), and Yinchuan(Ningxia).Data on demographic characteristics and fall-related incidents were gathered and analyzed for their correlation with fall risk scores.Results:The fall risk score showed significant associations with various factors, such as the history of falls within one year( β=-3.607, 95% CI: -3.881 to -3.332), care methods( β=2.442, 95% CI: 2.226 to 2.658), exercise( β=0.714, 95% CI: 0.443 to 0.986), retirement( β=-0.585, 95% CI: -0.819 to -0.351), age( β=0.173, 95% CI: 0.159 to 0.187), and use of walking aids( β=-3.737, 95% CI: -4.054 to -3.421). Conclusions:Fall risk scores in older adults are influenced by a variety of factors.Factors such as no history of falls within the past year, living independently, engaging in physical activity, and being employed may contribute to lower fall risk scores in older adults.

Objective:To investigate the effect of sertraline hydrochloride combined with compound chamomile lidocaine gel in the treatment of premature ejaculation(PE).Methods:We selected 80 cases of PE treated in our hospital from June 2021 to May 2023 and equally randomized them into a control and an observation group,the former medicated with compound chamomile lidocaine gel while the latter with sertraline hydrochloride in addition,both for 6 weeks.We recorded and compared the intravaginal ejaculation latency time(IELT),the number of successful sexual intercourses per week,the Premature Ejaculation Diagnostic Tool(PEDT)scores,and the incidence of adverse reactions between the two groups of patients.Results:After the treatment,the IELT was signif-icantly longer([5.39±1.17]vs[2.49±0.73]min,P＜0.05),the weekly number of successful sexual intercourses remarkably higher(1.82±0.45 vs 0.93±0.19,P＜0.05)and the PEDT scores markedly lower(7.42±2.04 vs 9.85±2.36,P＜0.05)in the observation than in the control group,but no statistically significant differences were observed in the baseline PEDT scores or the incidence of adverse reactions between the two groups(P＞0.05).Conclusion:Sertraline hydrochloride combined with com-pound chamomile lidocaine gel is definitely effective in the treatment of PE,which can significantly improve the patients'quality of sexual life,with a high safety and low incidence of adverse reactions.