Hepatocellular carcinoma(HCC), the third leading cause of cancer-related death worldwide, is characterized by high mortality and recurrence rates. Common treatments include hepatectomy, liver transplantation, ablation therapy, interventional therapy, radiotherapy, systemic therapy, and traditional Chinese medicine(TCM). While exhibiting specific advantages, these approaches are associated with varying degrees of adverse effects. To alleviate patients' suffering and burdens, it is crucial to explore additional treatments and elucidate the pathogenesis of HCC, laying a foundation for the development of new TCM-based drugs. With emerging research on gut microbiota, it has been revealed that microbiota plays a vital role in the development of HCC by influencing intestinal barrier function, microbial metabolites, and immune regulation. TCM, with its multi-component, multi-target, and multi-pathway characteristics, has been increasingly recognized as a vital therapeutic treatment for HCC, particularly in patients at intermediate or advanced stages, by prolonging survival and improving quality of life. Recent global studies demonstrate that TCM exerts anti-HCC effects by modulating gut microbiota, restoring intestinal barrier function, regulating microbial composition and its metabolites, suppressing inflammation, and enhancing immune responses, thereby inhibiting the malignant phenotype of HCC. This review aims to elucidate the mechanisms by which gut microbiota contributes to the development and progression of HCC and highlight the regulatory effects of TCM, addressing the current gap in systematic understanding of the "TCM-gut microbiota-HCC" axis. The findings provide theoretical support for integrating TCM with western medicine in HCC treatment and promote the transition from basic research to precision clinical therapy through microbiota-targeted drug development and TCM-based interventions.
Humans ; Gastrointestinal Microbiome/drug effects* ; Carcinoma, Hepatocellular/microbiology* ; Liver Neoplasms/microbiology* ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Medicine, Chinese Traditional

AIM: To compare the clinical effect of small incision lenticule extraction(SMILE)and implantable collamer lens(ICL)implantation on efficacy, safety and visual quality in patients with high myopia complicated with low astigmatism.METHODS: Retrospective study. A total of 80 cases(159 eyes)of high myopia and low astigmatism treated in the hospital from January 2021 to January 2022 were included, and they were divided into 46 cases(91 eyes)in SMILE group and 34 cases(68 eyes)in ICL implantation group by means of different surgical methods. The spherical equivalent, uncorrected visual acuity(UCVA), best corrected visual acuity(BCVA), higher order aberrations of cornea and optical quality index, effectiveness and safety index were compared between the two groups before surgery and at 3 and 6 mo after surgery, and the surgical complications were counted.RESULTS: The spherical equivalent, UCVA and BCVA of both groups were all improved at 6 mo postoperatively(all P<0.05). At 6 mo after surgery, there were no differences in UCVA, BCVA, spherical equivalent, effectiveness and safety index between both groups(all P>0.05). The root mean square values of total higher order aberration, spherical aberration, coma, vertical coma and horizontal coma in the SMILE group were higher than those in the ICL implantation group, and Strehl ratio(SR)in the ICL implantation group was higher than that in the SMILE group at 3 and 6 mo after surgery(all P<0.05). CONCLUSION: SMILE and ICL implantation have good surgical efficacy in the treatment of patients with high myopia and low astigmatism, and both methods can achieve good postoperative visual acuity and objective visual quality. Furthermore, the ICL implantation has better postoperative visual quality than SMILE.

Objective To retrospectively investigate the efficacy of pelvic floor muscle training(PFMT)using APP-based home device in the real-world scenario.Methods A retrospective survey was conducted among 171 000 Chinese female users over 18 years old who freely registered APP and performed PFMT using a domestic manufactured home device from Oct 1,2019 to Mar 31,2021.The Patient Global Impression of Improvement(PGI-I)questionnaires concerning pelvic floor general condition,sexual satisfaction and other three major symptoms related to pelvic floor muscle laxity such as stress urinary incontinence(SUI),pelvic organ prolapse(POP),and vaginal laxity(VL)were broadcast public online for users to self-assess the improvement.The vaginal muscle strength values prior and post training recorded by APP were also reported.All data were collected anonymously for further stratified analysis.Results A total of 984 valid questionnaires were collected by systematic sampling.The PGI-I scores of pelvic floor general condition(P=0.000 1),sexual satisfaction(P=0.009),SUI(P=0.000 1),POP(P=0.044)and VL(P=0.034)were statistically significant in users who reported to use the device for 3 months or more compared with those less than 3 months.In addition,the increase of vaginal muscle strength was related to the improvement of PGI-I scores in SUI and POP with statistical significance.There were no significant difference in subgroups such as age,education,parity,and delivery mode.Conclusion The subjective benefit of pelvic floor function-related symptoms and the improvement of vaginal muscle strength could be observed after PFMT for three months or more using APP-based home device in Chinese women in the real-world scenario.

In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations. It analyzed the principles and advantages of commonly used rapid, non-destructive detection techniques, offering a reference for the application and promotion of these technologies in TCM preparation detection. Additionally, this paper explored various data preprocessing techniques, operational processes, and machine learning algorithms to enhance data utilization efficiency. Finally, it focused on the challenges of applying machine learning in TCM preparation detection and offered corresponding recommendations, providing guidance for the future integration of machine learning with rapid, non-destructive detection techniques in practical production.
Machine Learning ; Drugs, Chinese Herbal/analysis* ; Medicine, Chinese Traditional/methods* ; Humans ; Quality Control

The construction method and simulation parameter settings for the discrete element model of Jianwei Xiaoshi Granules, as the primary material of Jianwei Xiaoshi Tablets, are not yet clear. The accuracy of the simulation model significantly influences the dynamic response characteristics between granules. Therefore, it is necessary to calibrate the parameters to improve the accuracy of the simulation parameters. Using the repose angle of Jianwei Xiaoshi Granules as the response value, the response surface methodology was employed to optimize and calibrate the discrete element parameters. Physical experiments were conducted to determine the physical properties of Jianwei Xiaoshi Granules. Based on the Hertz-Mindlin with Johnson-Kendall-Roberts(JKR) V2 model and virtual simulation methods, a repose angle determination model was constructed in EDEM software. The repose angle was measured using image analysis and numerical fitting methods. The Plackett-Burman experiment was used to screen the initial parameters for significance in the discrete element simulation. The significant parameters were then subjected to a steepest ascent experiment to determine the optimal parameter range. Furthermore, based on the Box-Behnken experiment, a second-order regression equation between significant parameters and repose angle was established, with the repose angle of 37.64° in the physical experiment as the target value. The regression equation was optimized and solved. The significance screening experiment revealed that the granule-granule static friction coefficient, granule-granule rolling friction, and granule-steel plate rolling friction of Jianwei Xiaoshi Granules significantly influenced the simulated repose angle. The optimal parameter combination was found to be 0.330, 0.222, and 0.229. The simulation results with this optimal parameter combination showed that there was no significant difference between the simulated repose angle and the repose angle obtained in the physical experiment, with a relative error of 0.05%, which further validated the reliability of the calibrated discrete element parameters for Jianwei Xiaoshi Granules.
Drugs, Chinese Herbal/chemistry* ; Calibration ; Computer Simulation

Identification of critical material attributes(CMAs) is a key issue in the quality control of large-scale TCM products like Jianwei Xiaoshi Tablets. This study focuses on the granules of Jianwei Xiaoshi Tablets, using tablet tensile strength as the primary quality attribute. A method for identifying the CMAs and a design space for the granules were established, along with a predictive model for the granule CMAs based on Fourier transform near-infrared spectroscopy(FT-NIR). First, granules of Jianwei Xiaoshi Tablets with different properties were prepared using a partial factorial design method from the design of experiments(DOE). The powder properties of the granules were measured. An orthogonal partial least squares(OPLS) model was established to correlate the powder properties with tensile strength. Based on the characteristics of the comprehensive variables extracted by OPLS, the independent variables with the greatest explanatory power for tensile strength were identified. FT-NIR technology was then employed to establish a predictive model for the granule CMAs. The final CMAs identified were hygroscopicity, moisture content, D_(50), collapse angle, mass flow rate, and tapped density. The coefficients of determination of the prediction set(R■) and relative percentage deviation(RPD) of the prediction set for flowability, D_(50), and moisture content were 0.891, 0.994, and 0.998; and 2.97, 12.4, and 20.7, respectively. The established OPLS model clearly identified the impact of various factors on tensile strength, demonstrating good fit results. The model exhibited high prediction accuracy and can be used for the rapid and accurate determination of CMAs in granules of Jianwei Xiaoshi Tablets.
Drugs, Chinese Herbal/chemistry* ; Tablets/chemistry* ; Tensile Strength ; Quality Control ; Spectroscopy, Fourier Transform Infrared ; Spectroscopy, Near-Infrared

Child ; Humans ; Toxoplasmosis, Cerebral ; Hematopoietic Stem Cell Transplantation ; Thalassemia

OBJECTIVE: To construct a model of Enterococcus faecalis (E. faecalis) infection in dentinal tubules by gradient centrifugation and to evaluate the antibacterial effect of low-temperature plasma on E. faecalis in dentinal tubules. METHODS: Standard dentin blocks of 4 mm×4 mm×2 mm size were prepared from single root canal isolated teeth without caries, placed in the E. faecalis bacterial solution, centrifuged in gradient and incubated for 24 h to establish the model of dentinal tubule infection with E. faecalis. The twenty dentin blocks of were divided into five groups, low-temperature plasma jet treatment for 0, 5 and 10 min, calcium hydroxide paste sealing for 7 d and 2% chlorhexidine gel sealing for 7 d. Scanning electron microscopy and confocal laser scanning microscope were used to assess the infection in the dentinal tubules and the antibacterial effect of low-temperature plasma. RESULTS: The results of scanning electron microscopy and confocal laser scanning microscopy showed that after 24 h of incubation by gradient centrifugation, E. faecalis could fully enter the dentinal tubules to a depth of more than 600μm indicating that this method was time-saving and efficient and could successfully construct a model of E. faecalis infection in dentinal tubules. Low-temperature plasma could enter the dentinal tubules and play a role, the structure of E. faecalis was still intact after 5 min of low-temperature plasma treatment, with no obvious damage, and after 10 min of low-temperature plasma treatment, the surface morphology of E. faecalis was crumpled and deformed, the cell wall was seriously collapsed, and the normal physiological morphology was damaged indicating that the majority of E. faecalis was killed in the dentinal tubules. The antibacterial effect of low-temperature plasma treatment for 10 min exceeded that of the calcium hydroxide paste sealing for 7 d and the 2% chlorhexidine gel sealing for 7 d. These two chemicals had difficulty entering deep into the dentinal tubules, and therefore only had a few of antibacterial effect on the bacterial biofilm on the root canal wall, and there was also no significant damage to the E. faecalis bacterial structure. CONCLUSION Gradient centrifugation could establish the model of E. faecalis dentin infection successfully. Low-temperature plasma treatment for 10 min could kill E. faecalis in dentinal tubules effectively, which is superior to the calcium hydroxide paste sealing for 7 d and the 2% chlorhexidine gel sealing for 7 d.
Chlorhexidine/pharmacology* ; Calcium Hydroxide/pharmacology* ; Enterococcus faecalis/physiology* ; Temperature ; Dentin ; Biofilms ; Anti-Bacterial Agents/pharmacology* ; Root Canal Irrigants/pharmacology* ; Dental Pulp Cavity

Objective: To evaluate the efficacy and safety of different medical treatment in advanced or unresectable angiosarcoma. Methods: This study was a single-center retrospective clinical study. Fifty-five advanced or unresectable angiosarcoma patients treated in Sun-Yat Sen University Cancer Center from January 2005 to August 2020 were enrolled. There were 34 patients who received first-line doxorubicin-based chemotherapy (doxorubicin group), 12 patients received first-line doxorubicin or liposome doxorubicin plus paclitaxel or albumin bound paclitaxel chemotherapy (combination therapy group), and 4 patients received first-line paclitaxel-based treatment (paclitaxel group). There were 6 patients who received anti-angiogenesis targeted therapy, another 2 patients received anti-PD-1 antibody plus anti-angiogenesis targeted therapy. Targeted therapy and immunotherapy plus targeted therapy included 5 cases of first-line therapy and 3 cases of second-line therapy. The therapeutic effect was evaluated by RECIST 1.1 standard. The adverse reactions were evaluated by CTCAE4.0 standard. Kaplan-Meier survival analysis was evaluated with Log rank test. Cox proportional hazard model was used to analyze the influencing factors. Results: There were 18 patients achieved partial response (PR) in 34 patients in the doxorubicin group, median progression-free survival (mPFS) was 4.5 months, and median overall survival (mOS) was 15 months. Four patients achieved PR in 12 patients in the combination therapy group, mPFS and mOS were 4 months and 19 months. Two patients achieved PR in 4 patients in the paclitaxel group, mPFS and mOS were 3 months and 9 months. However, only 1 in 6 patients achieved PR for anti-angiogenesis targeted therapy, mPFS and mOS were 3 months and 16 months. Two patients who received anti-PD-1 immunotherapy combined with anti-angiogenesis targeted therapy acquired PR for 17 months and more than 16 months. Median PFS (7.5 months) were longer in those with primary liver, lung and spleen angiosarcoma than in those with other primary site (3.0 months, P=0.028). The mOS (20 months) was longer in females than that in males (12 months, P=0.045). Primary tumor site, sex, age and treatment were not independent prognostic factors for angiosarcoma patients (P>0.05). Grade 3-4 cardiac toxicity was found in 2 patients in the combination therapy group. Conclusions: Doxorubicin-based and paclitaxel-based chemotherapy are the most important treatment for advanced angiosarcoma. Potential efficacy for targeted therapy combined with anti-PD-1 immunotherapy are showed in some patients with long duration of response and moderate adverse event.
Male ; Female ; Humans ; Hemangiosarcoma ; Retrospective Studies ; Paclitaxel/adverse effects* ; Doxorubicin/therapeutic use* ; Antineoplastic Combined Chemotherapy Protocols/adverse effects*

AIM: To investigate the impact of meteorological factors in different environments in the eastern and western regions of China on the incidence of lipid-abnormal dry eye.METHODS: This is a multicenter retrospective study. From March 1, 2021 to February 28, 2022, all patients with dry eye were selected from the ophthalmology clinic of Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine and Friendship Hospital of Xinjiang Yili Kazakh Autonomous Prefecture. General data(gender, age, employment and education)and climate data for outdoor environments(temperature, humidity, air quality index and wind)on the day of the visit were collected. Patients who met the inclusion and exclusion criteria were selected. Single factor, multiple factors and nonlinear model analysis were applied to identify environmental factors of lipid-abnormal dry eye in both regions.RESULTS: There was no significant difference in the incidence of lipid-abnormal dry eye between Nanjing and Yili in different seasons. The incidence of lipid-abnormal dry eye in Yili was significantly higher in all seasons than in Nanjing(P<0.001). The results of univariate research showed that the factors affecting the incidence of lipid-abnormal dry eye were gender, employment, humidity, air quality, and wind. The results of multivariate Logistic regression analysis showed that humidity, temperature and air quality were statistically significant, and remained significant after adjusting for the three confounding factors of age, gender and employment situation. Nonlinear analysis showed that the probability of lipid-abnormal dry eye increased with the decrease of temperature when the temperature was below 10℃; within the range of 10℃～15℃, the probability of lipid-abnormal dry eye tended to stabilize. When the temperature exceeded 15℃, the probability of lipid-abnormal dry eye increased with the increase of temperature. Humidity was negatively correlated with the onset of lipid-abnormal dry eye. As humidity increased, the probability of lipid-abnormal dry eye decreased.CONCLUSIONS: The risk of lipid-abnormal dry eye in Yili is higher than that in Nanjing throughout the four seasons. Humidity, temperature, air quality and other environmental and meteorological factors can all affect the incidence of lipid-abnormal dry eye.