ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

The disease-syndrome combination animal model in traditional Chinese medicine （TCM） andrology serves as an important bridge linking TCM theory with modern medical research， providing a key experimental platform for elucidating the 'syndrome-disease' correlation mechanism in male-specific diseases and for screening effective prescriptions. This article reviews recent progress in animal model research on common TCM andrological diseases， including prostatic diseases， sexual dysfunction， and male infertility， with a focus on analyzing the application， advantages， and disadvantages of various modeling strategies， such as immune induction， hormonal intervention， and multi-factor combination across different syndrome types. However， despite breakthroughs in model construction techniques， current research still faces several challenges， including insufficient standardization of syndrome differentiation and difficulties in quantifying TCM-specific indicators. Future studies need to optimize model evaluation systems by integrating modern technologies， in order to promote the standardization and internationalization of TCM andrology research.

Objective To explore the effect and mechanism of Gegen Qinlian decoction (GQD) on myocardial injury induced by high-fat diet combined with streptozotocin in type 2 diabetic mice through network pharmacology and animal experiments. MethodsNetwork pharmacology was applied to screen the potential signaling pathways of GQD in the intervention of diabetic heart disease (DHD). A total of 36 specific pathogen-free (SPF) male C57BL/6J mice aged 8 weeks were acclimatized for 1 week and randomly divided into a normal control group (n=6) and a model group (n=30). Mice in the model group were fed a 60% high-fat diet and 5% glucose water for 4 weeks, and were intraperitoneally injected with 100 mg/kg streptozotocin after 12 h of fasting to establish the type 2 diabetes model. Mice in the normal control group were given a conventional diet and drinking water, and were intraperitoneally injected with an equal volume of citrate buffer after 12 h of fasting at the same time point. After successful establishment of the diabetic mouse model, the model mice were randomly divided into five groups according to body weight: model control group, GQD low-dose group, GQD medium-dose group, GQD high-dose group, and metformin positive control group, with 6 mice in each group. After 6 weeks of intragastric administration of corresponding doses of GQD, metformin, and ddH₂O respectively, all mice in the six groups (one normal control group and five model groups) were anesthetized with inhaled 2% isoflurane, blood samples were collected via eyeball enucleation, and heart tissues were harvested after euthanasia by cardiac exsanguination. Hematoxylin-eosin (HE) staining and wheat germ agglutinin (WGA) staining were performed to observe the pathological damage of myocardial tissues and measure the cross-sectional area of cardiomyocytes. Enzyme-linked immunosorbent assay (ELISA) was used to measure the levels of pro-inflammatory cytokines in serum. Immunohistochemical staining was adopted to determine the protein expression levels of receptor for advanced glycation end products (RAGE), nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3), and phosphorylated nuclear factor-κB p65 (p-p65) in myocardial tissues. ResultsNetwork pharmacology analysis revealed that the targets of GQD against DHD were significantly enriched in inflammatory pathways, including the advanced glycation end products (AGEs)-RAGE axis, tumor necrosis factor (TNF) and interleukin-17 (IL-17) signaling pathways. HE and WGA staining results showed that, compared with the normal control group, the model control group exhibited myocardial fiber rupture, cardiomyocyte swelling, and significantly increased cardiomyocyte cross-sectional area (P<0.05). Compared with the model control group, GQD intervention significantly ameliorated the pathological changes, including myocardial fiber rupture, cell swelling, and cardiomyocyte hypertrophy. The results of immunohistochemical staining and ELISA indicated that compared with the model control group, GQD intervention markedly downregulated the protein expression of RAGE, NLRP3, and p-p65 in myocardial tissues, as well as the levels of serum pro-inflammatory cytokines (P<0.05). ConclusionGQD can effectively alleviate myocardial pathological injury in diet-induced type 2 diabetic mice, and its mechanism may be related to inhibiting the activation of the RAGE/p-p65/NLRP3 signaling pathway and reducing myocardial inflammatory response.

The sirtuin 1(SIRT1)is an important NAD+-dependent deacetylase that has attracted much attention in ophthalmic research in recent years. This is because the expression of SIRT1 in ocular tissues and its function are inextricably linked to the pathogenesis and progression of many ocular diseases, including dry eye, glaucoma, cataract and diabetic retinopathy. Through in-depth investigations, we have found that SIRT1, as a key regulatory protein, has a profound impact on the pathophysiological processes of ocular diseases through a variety of mechanisms, such as regulating apoptotic programs, modulating oxidative stress, mediating inflammatory responses and maintaining normal mitochondrial function. These findings indicate that SIRT1 plays an important protective role in ocular diseases. The aim of this article is to comprehensively review the latest research findings on SIRT1 in ophthalmic diseases in recent years, and hopes to provide new ideas and methods for the prevention and treatment of ophthalmic diseases by thoroughly analyzing the mechanism of action of SIRT1.

Objective To conduct a scoping review of studies related to gamified physical activity interventions for pediatric cancer patients,and to extract the gamification elements and application effects within physical activity intervention programs.Methods A computer-assisted search was conducted in CNKI,Wanfang Data,VIP Database,China Biology Medicine disc,Cochrane Library,PubMed,Embase,and Web of Science for studies on gamified physical activity interventions in pediatric cancer patients,with a search period from database inception to December 31,2023.The included literature was screened,summarized,and analyzed.Results A total of 18 articles were included,including 9 randomized controlled trials,4 quasi-experimental studies,and 5 mixed-method studies.The gamified intervention programs for physical activity in children with cancer integrated 7 gamification elements,including goal setting,capacity to overcome challenges,providing feedback on performance,reinforcement,progress monitoring,social connectivity,and fun and playfulness.The types of physical activity in the intervention programs included aerobic exercise,balance training,strength training,endurance training,etc.The intensity of the activities was mainly low to moderate;the duration was mostly 30～60 minutes per session;the intervention duration ranged from 5 weeks to 1 year.Numerous research findings indicate that gamified physical activity interventions for children with cancer can help improve physical function,quality of life,and fatigue levels.However,there is signi-ficant controversy regarding their impact on improving physical activity levels.Conclusion The gamified inter-vention for physical activity in children with cancer was safe and feasible.It is recommended that in the future,personalized and phased gamified intervention programs should be developed to evaluate the intervention effects.

Objective:This study sought to examine the clinicopathological features of monomorphic epitheliotropic intestinal T-cell lymphoma (MEITL) and to discuss its differential diagnosis.Methods:A total of 36 MEITL cases, collected between June 2015 and January 2024 from the Fourth Affiliated Hospital of Soochow University and the First Affiliated Hospital, College of Medicine, Zhejiang University, were analyzed. Patients underwent immunohistochemistry, in situ hybridization for Epstein-Barr virus-encoded small RNA (EBER), and T-cell receptor (TCR) gene rearrangement testing. Clinical data, laboratory results, and follow-up information were collected for correlation analysis.Results:The cohort included 36 patients (20 males and 16 females) aged 17-76 years (median: 57 years). Tumors outside the intestine were observed in 22 cases (61%). A total of 32 patients (89%) underwent surgical intervention and/or chemotherapy, and one patient received auto-HSCT. The median follow-up duration was 11.5 months (range: 8-73 months), with a median overall survival of 6 months (range: 1-67 months) ; 34 patients died during the follow-up period. Morphologically, nine cases (25%) exhibited significant pleomorphism. Immunohistochemical analysis revealed that high expression levels of both P53 and c-Myc were correlated with atypical morphology ( P=0.003 and P=0.016, respectively). Notably, patients with high P53 expression had significantly shorter survival times than those with low P53 expression ( χ2=4.922, P=0.027), whereas survival did not differ significantly based on c-Myc expression levels ( χ2=0.034, P=0.854). Furthermore, a PD-L1 CPS score ≥10 was observed in 22 cases (68.8%). Scattered EBER positivity in background cells was identified in four cases. All tested cases (17/17, 100.0%) showed clonal TCR gene rearrangements. Conclusions:MEITL is a rare but highly aggressive lymphoma with distinct clinical and pathological features. A subset of cases may exhibit atypical morphological patterns, complicating the diagnostic process. Improving awareness of this neoplasm is helpful for early and precise diagnosis as well as the estabolishment of novel therapy regimen.

Objective:To integrate implicit templates with deep learning techniques, a novel neural network, the tooth-deformable deep implicit network (T-DDIN), was constructed to achieve high-precision shape completion of tooth defects in a personalized manner.Methods:A total of 550 intraoral scan models were collected from patients treated at the Department of Orthodontics and Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University (500 for training and 50 for testing), between March 2022 and March 2024. T-DDIN reconstructed defective tooth morphology using an implicit template and a latent encoding prediction network. During model evaluation, Class Ⅱ cavity defects and occlusal wear defects were simulated in the test set. Morphological restoration was performed using both traditional computer aided design (CAD) methods and the T-DDIN deep learning approach. The two methods were compared based on three-dimensional deviation, occlusal adjustment volumes, cusp angle deviation, and restoration time.Results:The T-DDIN group demonstrated significantly lower three-dimensional deviation for Class Ⅱ cavity defects and occlusal wear restoration [(0.14±0.05) and (0.16±0.09) mm], occlusal adjustment volumes [(0.44±0.03) and (0.49±0.03) mm 3], and difference value of the tooth cusp angles (5.69°±1.90° and 6.04°±0.53°) compared to the traditional CAD group (both P<0.001). No significant differences were observed within the T-DDIN group between the two defect types in terms of three-dimensional deviation ( P=0.098) or occlusal adjustment volume ( P=0.154) or difference value of the tooth cusp angles ( P=0.196). However, in the traditional CAD group, three-dimensional deviation, occlusal adjustment volume and difference value of the tooth cusp angles was significantly higher in occlusal wear restorations than in Class Ⅱ cavity defects restorations ( P<0.001). The T-DDIN group, which involved Class Ⅱ cavity defects and occlusal wear, demonstrated significantly less recovery time of morphology (37.2±7.7) and (39.4±6.2) s compared to the traditional CAD group ( P<0.001). Conclusions:T-DDIN demonstrated superior stability and accuracy in morphological reconstruction for various types of dental defects while significantly reducing restoration time.

Objective:To investigate the clinical manifestations, treatment, and outcomes of Barth syndrome (BTHS).Methods:A retrospective analysis was conducted on 21 pediatric patients diagnosed with BTHS between January 2010 and December 2023 at Beijing Children′s Hospital, Beijing Anzhen Hospital, and Beijing JingDu Children′s Hospital. Clinical data including gender, age at onset, initial symptoms, clinical manifestations, personal history, family genetic history, and laboratory tests (neutrophil count, echocardiography, electrocardiogram and genetic testing) were reviewed.Results:All the 21 patients were male, with the age of onset at 4.1 (1.1, 9.3) months. Main clinical manifestations included heart failure (18 cases), neutropenia (16 cases), respiratory symptoms (15 cases), 3-methylpentenediuria (7 cases),develop retardation (8 cases), gastrointestinal symptoms (7 cases), fatigue and anorexia (6 cases), and recurrent infection (2 cases). Electrocardiogram abnormalities included ST changes (18 cases), flattened T wave and low voltage of limb leads (2 cases), and abnormal Q waves in lead Ⅰ and avL (1 case). Echocardiographic features showed increased trabeculation, interventricular septum and left ventricular wall thickening, and left ventricular enlargement with reduced ejection fraction. Genetic testing identified TAZ gene variations in all 21 patients: 11 missense mutations, 2 nonsense mutations, 2 frameshift mutations, 2 whole code mutations, 2 exon deletions, 1 splicing mutation, and 1 synonymous mutation. Fifteen mutations were maternally inherited, 2 were de novo, and 4 lacked verified variant origin.In terms of treatment, all 18 patients with heart failure received routine heart failure treatment, of whom 11 patients also received intravenous immunoglobulin and corticosteroids. After the follow-up of 91.0 (75.5, 109.5) months, 15 of the 18 patients showed restoration of cardiac function after 4.5 (3.0, 9.8) months of treatment, with one case of significant improvement, while 2 cases suddenly died.Conclusions:BTHS predominantly affects males with early onset, mainly characterized by abnormal cardiac structure and function, along with clinical features including fatigue, delayed growth and development, and neutropenia. Early diagnosis and intervention, including heart failure treatment, intravenous immunoglobulin, and corticosteroids, can lead to significant improvement in cardiac function, though sudden death remains a risk.

Objective To explore the reproductive health literacy of young female sailors,investigate the influence of long voyage on the health,and propose strategies on health education.Methods A total of 49 young female sailors were enrolled.Their healthy status was evaluated by annual medical records.The questionnaire survey was also conducted to evaluate general status related to reproductive health,knowledge pertaining to reproductive health,and health status after long voyage.Results Some female sailors had symptoms of thyroid diseases,such as hypothyroidism(32.65%),benign thyroid nodules(59.18%),and suspected papillary carcinoma(in one sailor,2.04%).Ultrasonography revealed breast nodules in 5 subjects(10.00%),mammary gland hyperplasia in 46 subjects(93.88%)and reproductive benign diseases in 6 subjects(12.24%).The physical and mental states significantly changed in the late stage of long voyage.The changes in work and living environment were the main factors affecting the emotional and psychological status in the long voyage.The discomfort in menstrual cycle piled up with the above-mentioned changes during a long voyage,and the menstruation significantly affected the duty of 36.73%of female sailors during a long voyage.Female sailors had little knowledge about the prevention and examination of breast cancer and thyroid cancer.Conclusion The living and work environment during a long voyage may affect the health of the thyroid,mammary gland and reproductive system of young female sailors.Active health education via online and offline ways is helpful to improve the health literacy and self-care of female sailors,subsequently enhancing the combat effectiveness.