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.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To investigate the expression characteristics of Zeste enhancer of Zeste homolog 2 (EZH2) in breast cancer tissue and its influence on tumor progression and prognosis.Methods:Transcriptome data of breast cancer tissue and normal breast tissue adjacent to cancer as well as clinical data of patients were obtained from the cancer genome atlas (TCGA) database, gene expression comprehensive database and European genome phenotype archives database, and the difference of EZH2 expression was analyzed using TIMER 2.0 platform. The survival information of breast cancer patients was obtained from the Kaplan Meier Plotter database, and the overall survival time, relapse free survival time and distant metastasis free survival time of breast cancer patients with low EZH2 expression and high EZH2 expression were compared. Select 14 nude mice were selected and randomly divided into si-EZH2 group and control group, with 7 mice in each group.MCF7 culture suspensions transfected with EZH2 knockdown plasmid and control plasmid were inoculated for corresponding group. The body mass and tumor volume of two groups of nude mice inoculated with MCF7 cells were compared at different times. On the 28th day, the nude mice were euthanized and the tumors were dissected to compare the tumor mass of the two groups of nude mice. The normally distributed quantitative data was represented by xˉ ± s. Two independent sample t-tests were used for comparison between two groups, repeated measures ANOVA was used for comparison of body mass and tumor volume between two groups of nude mice at different times, and Bonferroni test was used for pairwise comparison. The comparison of survival rates was conducted using log rank test. Results:A total of 1085 breast cancer tissues and 291 normal adjacent breast tissues were included in the TCGA database. EZH2 expression in breast cancer tissues was higher than that in normal adjacent breast tissues ( P<0.05). In the Kaplan Meier Plotter database, the total survival time, relapse free survival time, and distant metastasis free survival time of breast cancer patients in the EZH2 overexpression group were shorter than those in the EZH2 low expression group ( P=0.013, <0.001, <0.001). After 7 days of inoculation with MCF7 culture suspension, significant subcutaneous tumors were observed on the left back of both groups of nude mice. On the first day, there were no statistically significant difference in body mass between the two groups of nude mice ( P>0.05); On day 7, 13, 19, 25, and 28, the body mass and tumor volume of both groups of nude mice gradually increased (nude mouse body mass: within group F=29.31, P<0.001, between groups F=234.32, P<0.001, Finteraction=16.83, P<0.001; Tumor volume: within group F=34.00, P<0.001, between groups F=193.17, P<0.001, Finteraction=35.61, P<0.001). And the body mass of the siEZH2 group nude mice was higher than that of control group (all P<0.05). On days 19, 25, and 28, tumor the volume of the siEZH2 group nude mice was smaller than that of control group (all P<0.05). On the 28th day, the mass of tumors dissected in the siEZH2 group of nude mice was lower than that in the control group [(0.30±0.07) g vs. (0.61±0.14) g, t=5.16, P<0.001]。 Conclusions:EZH2 is highly expressed in breast cancer tissues and is significantly associated with poor prognosis. Knockdown of EZH2 can significantly inhibit the proliferation and tumor formation of breast cancer cells.