Objective: To fabricate a hydrogel loaded with inositol hexaphosphate-zinc and preliminarily evaluate its performance in self-mineralization and osteoinduction, thereby providing a theoretical basis for the development of bone regeneration materials. Methods: The hydrogel framework (designated DF0) was formed by copolymerizing methacryloyloxyethyltrimethylammonium chloride and four-armed poly(ethylene glycol) acrylate, followed by sequentially loading inositol hexaphosphate anions via electrostatic interaction and zinc ions via chelation. The hydrogel loaded only with inositol hexaphosphate anions was named DF1, while the co-loaded hydrogel was named DF2. The self-mineralization efficacy of the DF0 , DF1 and DF2 hydrogels was characterized using scanning electron microscopy, transmission electron microscopy (TEM), energy dispersive spectroscopy (EDS), and selected area electron diffraction (SAED). The biocompatibility was assessed via live/dead cell staining and a CCK-8 assay. The osteoinductive capacity of the DF0 , DF1 and DF2 hydrogels on MC3T3-E1 cells was assessed via alkaline phosphatase (ALP) and Alizarin Red S (ARS) staining. In the aforementioned cell experiments, cells cultured in standard medium served as the control group Results: The DF0, DF1, and DF2 hydrogels were successfully synthesized. Notably, DF1 and DF2 exhibited distinct self-mineralization within 6 days. Results from TEM, EDS, and SAED confirmed that the mineralization products were amorphous calcium phosphate in group DF1, and amorphous calciumzinc phosphate in group DF2. Biocompatibility tests revealed that none of the hydrogels (DF0, DF1, and DF2) adversely affected cell viability or proliferation. In osteogenic induction experiments, both ALP and ARS staining were intensified in the DF1 and DF2 groups, with the most profound staining observed in the DF2 group. Conclusion The developed inositol hexaphosphate-zinc hydrogel (DF2) demonstrates the dual capacity to generate calcium-phosphate compounds through self-mineralization while exhibiting excellent osteoinductive properties. This biocompatible, dual-promoting osteogenic hydrogel presents a novel strategy for bone regeneration.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

AIM: To explore the application effect of eyelid margin incision combined with floating bridge technique in the treatment of ptosis patients, and to analyze its effects on the margin reflex distance 1(MRD1)and the aesthetic effect of the eyes. METHODS:Prospective study. This study enrolled patients with blepharoptosis treated at the Department of Ophthalmology of the hospital between January 2023 and July 2025, who were assigned to either an observation group or a control group. The patients in the control group received levator aponeurosis shortening surgery through conventional double-eyelid incision, while the patients in the observation group underwent levator aponeurosis shortening surgery using the eyelid margin incision combined with floating bridge technique. Subsequently, the surgical-related indicators,the correction effect of ptosis, the aesthetic effect, the ocular function indicators, the postoperative complication occurrence rate, and recurrence rate were compared and analyzed between two groups.RESULTS:A total of 100 patients(100 eyes)with blepharoptosis were enrolled in this study, with 50 patients(50 eyes)in the observation group and 50 patients(50 eyes)in the control group. The observation group had a mean age of 27.33±5.32 y, including 20 males and 30 females. The control group had a mean age of 27.64±4.66 y, including 24 males and 26 females. Compared with the control group, the operative time of the observation group was longer, the postoperative swelling resolution time and natural recovery time were shorter,and the correction rate was higher(P<0.05). Three months after the surgery, the VSS score and POSAS score of the observation group were lower than those of the control group, while the scores for eyelid curvature, symmetry of eyelid height, and the PFH, MRD1, palpebral fissure size, and upper eyelid levator muscle strength were all higher than those of the control group(all P<0.05). However, there was no significant difference in postoperative complication occurrence rate and recurrence rate between two groups(all P>0.05).CONCLUSION:The combined use of eyelid margin incision and floating bridge technique for treating ptosis results in slightly longer operation time, but it can shorten the postoperative recovery period, effectively ameliorate the MRD1 and ocular function of patients, and enhance the correction effect and aesthetic quality of the eyes. In addition, it has a low incidence of complications and guaranteed safety.

Objective To investigate predictive value of soluble growth stimulation-expressed gene 2 protein (sST2), cardiac troponin T (cTnT), and creatine kinase-myocardial band (CK-MB) for steroid resistance and prognosis in patients with immune checkpoint inhibitor-associated myocarditis (ICIAM). Methods A total of 28 patients with ICIAM were prospectively enrolled from March 2023 to February 2024 at Zhongshan Hospital, Fudan University. All participants were divided into the steroid-resistant ICIAM (srICIAM) group and the non-srICIAM group. Baseline serum levels of sST2, cTnT and CK-MB were detected prior to treatment initiation. ROC curve analysis was applied to evaluate the predictive value of these biomarkers, and Kaplan-Meier survival analysis was performed to explore the relationship between sST2 and all-cause mortality. Results Baseline sST2, cTnT, and CK-MB levels were significantly higher in the srICIAM group (n＝15) than in the non-srICIAM group (n＝13, P＜0.05). Combination of cTnT and sST2 improved predictive performance for srICIAM (AUC＝0.857, sensitivity 0.714, specificity 1.000). After 6 months of follow-up, the high sST2 group had a significantly higher all-cause mortality than the low sST2 group (P＝0.016). Conclusions The combination of sST2 and cTnT could effectively predict srICIAM, and elevated sST2 is associated with increased higher all-cause mortality in ICIAM patients, providing a basis for early risk stratification and treatment optimization.

Lung cancer constitutes the most prevalent and lethal malignant tumor in China. Approximately 85% of lung cancer diagnoses correspond to the non-small cell histological subtype [non-small cell lung cancer (NSCLC)]. Despite surgery being the mainstay for early-stage disease, postoperative recurrence remains high and adjuvant chemotherapy offers limited benefit. In recent years, targeted therapy has demonstrated substantial advantages in driver mutation-positive NSCLC. To this end, the Lung Cancer Medical Education Committee of the Chinese Medical Education Association developed guidelines based on a systematic review of evidence through November 2025, using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach and a modified Delphi method. Focusing on epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK), and addressing ROS proto-oncogene 1 (ROS1), B-Raf proto-oncogene serine/threonine kinase (BRAF) V600E mutation, and mesenchymal-epithelial transition factor (MET) exon 14 (METex14) skipping, the guideline covers molecular testing, neoadjuvant/adjuvant therapy, perioperative strategies, minimal residual disease monitoring, and postoperative surveillance. It defines testing requirements, specifies stage-directed and subtype-specific treatments, and standardizes minimal residual disease monitoring. These recommendations emphasize precision and feasibility to improve survival and quality of life.

Based on the "Qi-blood-meridians" system， it is proposed that recurrence after radiofrequency ablation （RFA） for arrhythmia originates from damage to the heart and injury to the meridians caused by thermal burns. Disorder of qi movement， blood obstruction and heat constraint are the prerequisites for recurrence， while internal consumption of deficient qi， yin damage and scarce blood are key factors in frequent episodes. Latent pathogen of both phlegm and stasis， along with condensation of pathogenic yin， is the main cause of disease progression. Accordingly， self-made Tong Xin Beverage （通心饮） with 18 herbs is used throughout the postoperative intervention process to nourish the heart， unblock the meridians， restore vessels in balance of yin and yang. Self-made Qingxin Dingji Decoction （清心定悸汤） can be used to promote qi movement， diffuse stagnation， relieve heat and activate blood circulation so as to facilitate early recovery. Self-made Peiben Yangxin Decoction （培本养心汤） can boost qi and nourish yin， harmonize the ying （营） level and nourish blood， thereby improving long-term prognosis. In addition， Shiwei Wendan Decoction combined （十味温胆汤） with Taoren Honghua Decoction （桃仁红花煎） resolves phlegm， dissipates masses， removes stasis， and softens hardness， which can be used to prevent disease aggravation. These approaches aim to provide ideas and references for clinical practice.

Objective: To investigate the objective characteristics of tongue manifestation in different stages of damp-heat syndrome in diabetic kidney disease (DKD). Methods: A cross-sectional study enrolled 134 patients with DKD G3-5 stages who met the diagnostic criteria for damp-heat syndrome in DKD. The patients were treated at Dongzhimen Hospital, Beijing University of Chinese Medicine, from May 2023 to January 2024. The patients were divided into three groups: DKD G3, DKD G4, and DKD G5 stage, with 53, 33, and 48 patients in each group, respectively. Clinical general data (gender, age, and body mass index) and damp-heat syndrome scores were collected from the patients. The YZAI-02 traditional Chinese medicine (TCM) AI Tongue Image Acquisition Device was used to capture tongue images from these patients. The accompanying AI Open Platform for TCM Tongue Diagnosis of the device was used to analyze and extract tongue manifestation features, including objective data on tongue color, tongue quality, coating color, and coating texture. Clinical data and objective tongue manifestation characteristics were compared among patients with DKD G3-5 based on their DKD damp-heat syndrome status. Results: No statistically significant difference in gender or body mass index was observed among the three patient groups. The DKD G3 stage group had the highest age (P<0.05). The DKD G3 stage group had a lower score for symptoms of poor appetite and anorexia(P<0.05) than the DKD G5 group. No statistically significant difference was observed in damp-heat syndrome scores among the three groups. Compared with the DKD G5 stage group, the DKD G3 stage group showed a decreased proportion of pale color at the tip and edges of the tongue (P<0.05). The DKD G4 stage group exhibited an increased proportion of crimson at the root of the tongue, a decreased proportion of thick white tongue coating at the root, a decreased proportion of pale color at the tip and edges of the tongue, an increased hue value (indicating color tone) of the tongue color in the middle, an increased brightness value (indicating color lightness) of the tongue coating color in the middle, and an increased thickness of the tongue coating (P<0.05). No statistically significant difference was observed in other tongue color proportions, color chroma values, body characteristics, coating color proportions, coating color chroma values, and coating texture characteristics among the three groups. Conclusion Tongue features differ in different stages of DKD damp-heat syndrome in multiple dimensions, enabling the inference that during the DKD G5 stage, the degree of qi and blood deficiency in the kidneys, heart, lungs, liver, gallbladder, spleen, and stomach is prominent. Dampness is more likely to accumulate in the lower jiao, particularly in the kidneys, whereas heat evil in the spleen and stomach is the most severe. These insights provide novel ideas for the clinical treatment of DKD.