OBJECTIVE: To construct and validate a predictive model for the therapeutic effect of acupuncture at Tongdu Yangxin prescription (acupoint prescription for promoting the circulation of the governor vessel and nourishing the heart) on insomnia, so as to develop an open-access interactive artificial intelligence (AI)-assisted decision-making platform. METHODS: Clinical data of 139 insomnia patients treated with Tongdu Yangxin acupuncture therapy were included. All the patients had received acupuncture at Baihui (GV20), Yintang (GV24⁺), bilateral Shenmen (HT7), and bilateral Sanyinjiao (SP6); and electric stimulation was attached to Baihui (GV20) and Yintang (GV24⁺), using a continuous wave and a frequency of 2 Hz. The treatment was delivered once every other day, 3 treatments a week, and for 2 consecutive weeks. Patients with Pittsburgh sleep quality index (PSQI) score reduction rate <50% were classified as the "no response group", and those with ≥50% were as the "response group". Outliers were addressed using the 1.5×IQR rule, and missing values were imputed via predictive mean matching. Key features were selected by intersecting the feature importance results from eXtreme Gradient Boosting (XGBoost) and random forest algorithms. After balancing class distribution using the Synthetic Minority Over-sampling Technique (SMOTE), 20% of the data was reserved as a validation set. The remained data underwent the stratified sampling iterations to generate 200 pairs of 3∶1 training-test sets, which was employed for training and internal validation of 8 machine learning algorithms. The optimal algorithm and data partitioning strategy were selected to construct the final model, followed by external validation. The best-performing model was deployed online via Streamlit to create an interactive AI platform. RESULTS: Key predictive features for model construction included insomnia duration, the total PSQI score, PSQI sleep efficiency subscore, the proportion of N1 and N2 sleep stages in total sleep duration, and the maximum pulse rate during sleep. The CatBoost-based model achieved an AUC of 0.92, the average precision of 0.77, and accuracy, average recall, and average F1-score of 0.75 on the test set. On the validation set, it attained an AUC of 0.84, with accuracy, average precision, average recall, and average F1-score all at 0.72, demonstrating robust predictive performance. An interactive AI platform was subsequently developed (https://tdyx-catboost.streamlit.app/). CONCLUSION This study successfully establishes and validates a CatBoost-based efficacy prediction model for Tongdu Yangxin acupuncture therapy in treatment of insomnia. The developed AI platform provides data-driven decision support for acupuncture-based insomnia management.
Humans ; Sleep Initiation and Maintenance Disorders/physiopathology* ; Acupuncture Therapy ; Male ; Acupuncture Points ; Female ; Middle Aged ; Adult ; Artificial Intelligence ; Aged ; Young Adult

Uric acid (UA) is the final metabolite of purines in the human body. An imbalance in UA production and excretion that disrupts homeostasis leads to elevated blood UA levels and the development of hyperuricemia (HUA). Approximately one-third of UA is excreted through the intestinal tract. As a crucial component of the intestinal microenvironment, the gut microbiota plays a pivotal role in regulating blood UA levels. Alterations or imbalances in gut microbiota composition are linked to the onset of HUA, which implies the potential of gut microbiota as a novel target for the prevention and treatment of HUA. This review introduces the occurrence mechanism and damage of hyperuricemia, examines the association between HUA and the gut microbiota and their metabolites, and explores the molecular mechanisms underlying gut microbiota-targeted therapies for HUA. Furthermore, it discusses the potential applications of probiotics, prebiotics, and traditional Chinese medicine (including both single herbs and compound formulas) with UA-lowering effects, along with cutting-edge technologies such as fecal microbiota transplantation and machine learning in HUA treatment. This review provides valuable perspectives and strategies for improving the prevention and treatment of HUA.
Hyperuricemia/microbiology* ; Humans ; Gastrointestinal Microbiome/physiology* ; Probiotics/therapeutic use* ; Uric Acid/blood* ; Fecal Microbiota Transplantation ; Prebiotics ; Medicine, Chinese Traditional

BackgroundThe depressive episode is one of the most prevalent mental illnesses worldwide. Relaxation therapy as a psychotherapy for depressive disorder has shown itself to be a viable tool， yet the existing research on relaxation therapy combined with sertraline in the treatment of depressive episodes in children and adolescents is severely limited. ObjectiveTo discuss the effect of relaxation therapy combined with sertraline on the new-onset depressive episodes in children and adolescents， and to provide references for the treatment of depressive episodes in children and adolescents. MethodsFrom January 1， 2019 to December 31， 2020， a sample of 422 children and adolescents with depressive episodes attending the Child Mental Health Department of Sichuan Mental Health Center and fulfilling the International Classification of Diseases， tenth edition （ICD-10） diagnostic criteria were enrolled， and they were classified into study group （n=208） and control group （n=214） using random number table method. All participants were offered sertraline， based on this， study group was assigned to relaxation therapy for 25~30 min per day， five days per week for a period of two weeks. Hamilton Depression Scale 24-item （HAMD-24） and Hamilton Anxiety Scale （HAMA） were applied at the enrollment， the end of 2 weeks of treatment and the end of the 2^nd week after discharge. ResultsA total of 369 patients completed the study， including 185 in study group and 184 in control group. Analysis on HAMD-24 scores revealed a significant time effect， group effect and time×group interaction effect （F=813.279， 17.625， 8 994.905， P<0.01）. Significant time effect， group effect， and time×group interaction effect were noted on HAMA scores （F=635.041， 10.716， 13 945.986， P<0.01）. A reduction in HAMD-24 and HAMA scores was reported in study group at end of 2 weeks of treatment and end of the 2^nd week after discharge compared with baseline （t=0.924， 0.359， P<0.01）. At the end of the 2^nd week after discharge， study group scored lower on HAMD-24 and HAMA compared to control group （t=0.210， 0.720， P<0.05）. At the end of 2 weeks of treatment， study group resulted in greater improvements in depressive symptoms and anxiety symptoms than those of control group （95.14% vs. 66.30%， 89.18% vs. 71.74%， χ²=78.942， 22.526， P<0.05）. The overall efficacy rate yielded no statistical difference between two groups at end of the 2^nd week after discharge （P>0.05）， and no statistical difference was found in the adverse reactions between the two groups （P>0.05）. ConclusionCompared with sertraline alone， its combination with relaxation therapy may achieve a better short-term efficacy in the treatment of depressive episode in children and adolescents. ［Funded by Sichuan Medical Scientific Research Project （number， S18020）］

OBJECTIVE: To identify phytochemical constituents present in the extract of flowers of Xanthoceras sorbifolia and evaluate their anti-oxidant and anti-hyperglycemic capacities. METHODS: The AlCl₃ colorimetric method and Prussian Blue assay were used to determine the contents of total flavonoids and total phenolic acids in extraction layers, and the bioactive layers was screened through anti - oxidative activity in vitro. The Waters ACQUITY UPLC system and a Waters ACQUITY UPLC BEH C₁₈ column (2.0 mm × 150 mm, 5 μm) were used to identify the ingredients. And anti-oxidative ingredients were screened by off-line UPLC-QTOF-MS/MS-free radical scavenging. The ameliorative role of it was further evaluated in a high-fat, streptozotocin-induced type 2 diabetic rat model and the study was carried out on NADPH oxidase (PDB ID: 2CDU) by molecular docking. RESULTS: Combined with the results of activity screening in vitro, the anti - oxidative part was identified as the ethyl acetate layer. A total of 24 chemical constituents were identified by liquid chromatography-mass spectrometry in the ethyl acetate layer and 13 main anti-oxidative active constituents were preliminarily screened out through off-line UPLC-QTOF-MS/MS-free radical scavenging. In vivo experiments showed that flowers of X. sorbifolia could significantly reduce the blood glucose level of diabetic mice and alleviate liver cell damage. Based on the results of docking analysis related to the identified phytocompounds and oxidase which involved in type 2 diabetes, quercetin 3-O-rutinoside, kaempferol-3-O-rhamnoside, isorhamnetin-3-O-glucoside, and isoquercitrin showed a better inhibitory profile. CONCLUSION The ethyl acetate layer was rich in flavonoids and phenolic acids and had significant anti-oxidant activity, which could prevent hyperglycemia. This observed activity profile suggested X. sorbifolia flowers as a promising new source of tea to develop alternative natural anti-diabetic products with a high safety margin.

As the main means of mastication, teeth can withstand countless functional contacts. The mechanical properties of teeth are closely related to their tissue structure. Enamel and dentin have a high hardness and modulus of elasticity, and their graded structure allows them to withstand bite forces without being susceptible to fracture. When tooth tissue is defective, full crown restoration is often needed to restore the normal shape and function of the tooth. Metal materials, ceramic materials, and polyetheretherketone (PEEK) materials are commonly used for crown restoration. Metal materials have certain disadvantages in terms of aesthetics and are relatively rarely used in clinical practice. Ceramic materials with different compositions exhibit differences in performance and aesthetics, but their elastic modulus and hardness are much higher than those of dental tissue, resulting in mismatching mechanical properties. In contrast, the elastic modulus of PEEK is lower than that of tooth tissue and similar to that of bone tissue, but its properties can be improved by fiber reinforcement. Notably, when the mechanical properties of a restoration material and tooth tissue are not fully matched, the interface between them often forms a potential weak link, which ultimately affects the stability and long-term effect of the restoration. This article introduces the mechanical properties and corresponding structural characteristics of enamel and dentin. On this basis, the advantages and limitations of existing restoration materials are analyzed, and the possibility of biomimetic design of full crowns is further explored.

Objective:To analyze the clinicopathological features of giant ovarian masses(mean diameter≥10 cm)and analyze the clinical characteristics of patients in different age groups.Methods:The clinicopathological characteristics of 311 patients diagnosed with giant ovarian masses by surgery at Nanjing Drum Tower Hospital,Affiliated Hospital of Medical School,Nanjing University from January 2014 to December 2022 were retrospectively analyzed.Patients were further stratified by age and mass size to compare the differences of clinical and patho-logical features among different age groups and different mass diameter groups.Results:①The median age of thepatients were 44(24,60)years old.The first symptoms were as follows:ovarian mass discovered during physi-cal examination,abdominal pain,bloating,conscious abdominal distension,and symptoms of compression.②The surgical methods were as follows:unilateral oophorectomy(30.5％,95/311),ovarian cystectomy(28.9％,90/311),tumor staging or cytoreductive surgery(28.0％,87/311),total hysterectomy with bilateral adnexectomy(12.5％,39/311).③The pathological types were benign(49.5％,154/311),malignant(31.8％,99/311)and borderline(18.7％,58/311).④ Patients complained abdominal distension in＜20 years old group were signifi-cantly higher than the other two groups(P＜0.05).The ovarian resection rate in the＞50-year-old group was higher than that of the other two groups(P＜0.05),and the rate of unilateral ovarian resection in the＜20-year-old group was still as high as 30.1％(15/49).⑤ The size of the mass correlated with the duration of the disease.When the disease course was between 1 to 6 months,the mass diameter line＞30 cm was the most common(P＜0.05).The incidence of borderline tumors in the＞30 cm group was significantly higher than that in the other two groups,and the difference was statistically significant(P＜0.05).Conclusions:Ovarian mucinous and mucinous borderline tumors are the most common types of giant adnexal masses.The size of the mass tends to increase with the prolongation of the disease course.The incidence of borderline tumors increases with the in-crease of mass.Health education for young people should be strengthened.When abdominal pain,abdominal bloating,especially lower abdominal distension occurs,they should seek medical treatment in time to avoid adnex-ectomy due to borderline tumors.

BACKGROUND:At present,the dental composite resin filling material composed of resin matrix monomer is the first choice material for the filling treatment of dental defects,but with the increase of its use time in the oral environment,the dental tissue will develop secondary caries and the filling material will wear and break.The main cause of these problems is the polymerization shrinkage of the filling material and its mismatch with the mechanical properties of the dental tissue. OBJECTIVE:To synthesize a new type of dental composite resin monomer by adding initiators with different components,to improve the traditional double bond conversion rate of the system and further improve the mechanical properties of the material. METHODS:A new composite resin matrix system was prepared by adding different initiators to the monomer of 3,3′,5,5′-tetramethoxybiphenyl-4,4′-diol epoxy acrylate resin.In group A,camphorquinone with a mass fraction of 1.1%was added.In group B,1-phenyl-1,2-propanedione with a mass fraction of 2.1%was added.In group C,a mixture of camphorquinone and 1-phenyl-1,2-propanedione(a mass ratio of the two was 1:1)with a mass fraction of 3.1%was added.The double bond conversion,polymerization shrinkage and mechanical properties of the samples were determined. RESULTS AND CONCLUSION:(1)The double bond conversion rate of groups B and C was higher than that of group A(P<0.05).The polymerization shrinkage of group B was higher than that of group A(P<0.05),while that of group C was lower than that of group A(P<0.05).(2)The flexural strength,elastic modulus and compressive strength of groups B and C were higher than those of group A(P<0.05,P<0.01).Vickers hardness of group B was higher than that of group A(P<0.05),and the Vickers hardness of group C was lower than that of group A(P<0.01).(3)These findings suggest that 1-phenyl-1,2-propanedione is an initiator with ideal performance.The combined application of 1-phenyl-1,2-propanedione and camphorquinone can effectively improve the double bond conversion rate of the resin matrix system and further improve the mechanical property of the resin.

Objective:To compare the short-term efficacy and the safety of microwave ablation (MWA) and radiofrequency ablation (RFA) in the treatment of benign thyroid nodules (BTNs).Methods:This prospective randomized controlled trial, performed from December 2019 to September 2021, included 36 patients with solid or predominantly solid BTNs who met the eligibility criteria and provided written informed consent at the Nanjing sub-center (Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine). Patients were assigned to either the MWA group or the RFA group (18 patients in each group) at a ratio of 1∶1 using a block randomization design and allocation concealment using sealed envelope randomization. The independent-sample t-test and χ2 test were used to compare the volume reduction rates (VRRs), effective rates (VRRs≥50%), cosmetic scores, and complication rates at 1, 3, and 6 months after treatment between the two groups. Results:The clinical characteristics of the two groups of patients were comparable. After ablation, the nodule volume was significantly reduced in both groups. At 1, 3, and 6 months, there was no significant difference in the volume between the two groups (all P>0.05). At 3 months, the RFA group had a larger VRRs than that in the MWA group (62.08%±12.46% vs. 46.90%±23.16%, t=-2.45, P=0.021). However, at 1 and 6 months, no statistical significance was observed (both P>0.05). No significant difference was observed in the effective rates at the last follow-up (14/18 vs. 18/18, P=0.104). However, the RFA group had a lower cosmetic score than that in the MWA group (1.78±0.43 vs. 2.17±0.51, t=-2.47, P=0.019). There was no statistically significant difference in the complication rates between the two groups (all P>0.05). Conclusions:Both MWA and RFA were effective and safe treatments for BTNs, with no significant differences in short-term efficacy and safety. In addition, the RFA group showed slightly more favorable outcomes than the MWA group in terms of cosmetic improvement.

Idiopathic pulmonary fibrosis (IPF) is the most common interstitial lung disease (ILD) of unknown causes, which is characterized by pulmonary fibrosis. The median survival period after diagnosis is about 2-4 years. In recent years, the incidence rate of lung cancer associated with IPF (IPF-LC) is increasing, and the prognosis is worse than that of IPF alone. Pulmonary fibrosis may be closely associated with the occurrence and development of lung cancer. Although the pathogenesis of IPF-LC is still unclear, the current research shows that there are similarities between the pathogenesis of these two diseases at molecular and cellular levels. At present, the research on the cellular and molecular mechanism of lung cancer related to pulmonary fibrosis has become the focus of researchers' attention. This article reviews the related literature, focusing on the latest status of the cellular and molecular mechanisms and treatment of IPF-LC, hoping to help clinicians understand IPF-LC.
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Humans ; Idiopathic Pulmonary Fibrosis/complications* ; Lung Neoplasms/complications*

Objective To analyze the epidemiological characteristics and influencing factors of pulmonary infection in the elderly, and to construct a risk prediction model. Methods Stratified cluster sampling was used to randomly select 683 elderly patients in Zhangjiakou First Hospital as the investigation subjects. Sputum specimens were collected and sent for bacterial isolation, culture, identification, and drug sensitivity test. According to whether the patients had pulmonary infection, they were divided into pulmonary infection group (n=315) and non-pulmonary infection group (n=368). The clinical data of the two groups such as age, sex, COPD, and ICU admission were analyzed. Univariate analysis and logistic regression analysis were used to analyze the influencing factors of pulmonary infection in elderly patients, and a risk prediction model was established. Results A total of 331 strains of pathogenic bacteria were detected in 315 patients with pulmonary infection, and there were 207 strains (62.54%) of gram-negative bacteria detected, mainly including 95 strains (28.70%) of Acinetobacter baumannii and 71 strains (21.45%) of Klebsiella pneumoniae. There were 169 strains (26.28%) of gram-positive bacteria detected, mainly 68 strains (20.54%) of Staphylococcus aureus. In addition, there were 25 strains of fungi (7.55%). There were no significant differences in gender, smoking history, history of COPD, asthma, and stroke between the two groups (P>0.05). The proportion of patients aged≥70, mechanical ventilation, admission to ICU and recent respiratory tract infection in the experimental group was significantly higher than that in the control group (P<0.05). Multivariate logistic regression analysis showed that age, smoking history, mechanical ventilation, and ICU admission were independent risk factors for pulmonary infection in elderly patients (P<0.05). According to the above four independent influencing factors and corresponding regression coefficient of each factor, the prediction model of pulmonary infection in elderly patients was constructed, Z=-5.948+1.198× (age) +1.281×(smoking history) +2.029×(mechanical ventilation) +1.211×(ICU admission). Conclusion Lung infection in elderly patients in our hospital is dominated by gram-negative bacilli. Antibiotics should be rationally selected according to drug sensitivity results. Age≥70 years old and COPD can increase the risk of pulmonary infection in elderly patients, and the prediction model constructed can effectively predict the occurrence of pulmonary infection in elderly patients.