Osteoarthritis (OA), a highly prevalent degenerative joint disease worldwide, is defined by articular cartilage degradation, abnormal bone remodeling, and persistent chronic inflammation. It severely compromises patients’ quality of life, and currently, there is no radical cure. Abnormal mechanical stress is widely regarded as a core driver of OA pathogenesis, and the exploration of mechanical signal perception and transduction mechanisms has become crucial for deciphering OA’s pathophysiological processes. Piezo1, a key mechanosensitive cation channel belonging to the Piezo protein family, has recently gained significant attention due to its pivotal role in mediating cellular responses to mechanical stimuli in joint tissues. This review systematically examines Piezo1’s expression patterns, regulatory mechanisms, and pathological functions in OA, with a particular focus on its dual roles in modulating chondrocyte homeostasis and bone metabolism disorders, while also delving into the underlying molecular signaling pathways and potential therapeutic implications. Piezo1, consisting of approximately 2 500 amino acids and forming a unique trimeric propeller-like structure, is widely expressed in chondrocytes, osteocytes, mesenchymal stem cells, and synovial cells. It exhibits permeability to cations such as Ca²⁺, K⁺, and Na⁺, and directly responds to membrane tension changes induced by mechanical stimuli like fluid shear stress and mechanical overload. In OA patients and animal models, Piezo1 expression is significantly upregulated, especially in cartilage regions subjected to abnormal mechanical stress (e.g., human temporomandibular joint cartilage). This overexpression is closely associated with aggravated cartilage degeneration, increased chondrocyte apoptosis, accelerated cellular senescence, and intensified inflammatory responses. Mechanical overload and pro-inflammatory cytokines (e.g., IL-1β) are key inducers of Piezo1 upregulation: IL-1β activates the PI3K/AKT/mTOR signaling pathway to enhance Piezo1 expression, forming a pathogenic positive feedback loop that inhibits chondrocyte autophagy, promotes apoptosis, and further accelerates joint degeneration. Mechanistically, Piezo1 mediates OA progression through multiple interconnected pathways. When activated by mechanical stress, Piezo1 triggers excessive Ca²⁺ influx, leading to endoplasmic reticulum stress (ERS) and mitochondrial dysfunction, which directly induce chondrocyte apoptosis. This process involves the activation of downstream signaling cascades such as cGAS-STING and YAP-MMP13/ADAMTS5. YAP, a transcriptional regulator, upregulates the expression of matrix metalloproteinase 13 (MMP13) and aggrecanase (ADAMTS5), thereby accelerating cartilage matrix degradation. Additionally, Piezo1-driven Ca²⁺ overload promotes the accumulation of reactive oxygen species (ROS) and upregulates senescence markers (p16 and p21), accelerating chondrocyte senescence via the p38MAPK and NF-κB pathways. Senescent chondrocytes secrete senescence-associated secretory phenotype (SASP) factors (e.g., IL-6, IL-1β), further amplifying joint inflammation. In terms of bone metabolism, Piezo1 maintains joint homeostasis by promoting the differentiation of fibrocartilage stem cells into chondrocytes and balancing bone formation and resorption through regulating the FoxC1/YAP axis and RANKL/OPG ratio. Therapeutically, targeting Piezo1 shows promising potential. Preclinical studies have demonstrated that Piezo1 inhibitors (e.g., GsMTx4) can reduce joint damage and alleviate pain in OA mice. Simultaneously, siRNA-mediated co-silencing of Piezo1 and TRPV4 (another mechanosensitive channel) decreases intracellular Ca²⁺ concentration, inhibits chondrocyte apoptosis, and promotes cartilage repair. Conditional knockout of Piezo1 using Gdf5-Cre transgenic mice alleviates cartilage degeneration in post-traumatic OA models by downregulating MMP13 and ADAMTS5 expression. Despite existing challenges, such as off-target effects of inhibitors, inefficient local drug delivery, and interindividual genetic variability, strategies like developing selective Piezo1 antagonists, optimizing targeted nanocarriers, and combining Piezo1-targeted therapy with physical therapy provide viable avenues for clinical translation. The authors propose that Piezo1 serves as a critical therapeutic target for OA, and future research should focus on deciphering its context-dependent regulatory networks, developing tissue-specific intervention strategies, and validating their efficacy and safety in clinical trials to address the unmet medical needs of OA patients.

Health economics evidence plays an important role in linking clinical value evidence with health resource allocation decisions in the development of clinical practice guidelines. It can not only effectively balance clinical effectiveness and economic feasibility but also avoid forming "idealized" recommendations that are detached from the affordability of the healthcare system or the burden-bearing capacity of patients. To promote guideline developers to use health economics evidence more standardizedly and fully, this paper conducts an in-depth analysis of the current application status, existing challenges, access channels, and application processes of health economics evidence in current guidelines, and on this basis, puts forward considerations and suggestions for strengthening and standardizing the application of health economics evidence in China's clinical practice guidelines.

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.

Gastric cancer with peritoneal metastasis (GCPM) is a common and lethal manifestation of advanced gastric cancer, with a median survival of only 5-11 months. This consensus was developed by 30 experts from Asia (China, Japan, Korea, and Singapore) using the Delphi method and the GRADE evidence grading system. A total of 29 statements were formulated, covering the diagnosis and assessment of GCPM, indications for laparoscopic exploration and NIPS (normothermic intraperitoneal and systemic treatment), treatment regimens, prevention and management of complications, criteria for conversion surgery, and postoperative intraperitoneal therapy. The consensus aims to standardize clinical practice and improve the prognosis of patients with GCPM.

In recent years,significant breakthroughs have been achieved in the immunotherapy for Alzheimer's disease.In line with global advancements,two anti-amyloid-β monoclonal antibodies have been approved and successfully launched in China for clinical use.Lecanemab and Donanemab were officially used in June 2024 and April 2025 in China,respectively.In order to standardize the rational and safe application of anti-amyloid-β monoclonal antibodies for Alzheimer's disease in China,this article integrates recom-mendations from the clinical trials and real-world experience from the author's team and domestic peers to further update the recom-mendations for the clinical use of anti-amyloid-β monoclonal antibody based on the 2024 version.It includes indications for therapy,pre-treatment evaluation and preparation,administration protocols and safety measures during treatment,and post-treatment monitor-ing strategies.

Objective To systematically evaluate the psychological characteristics of adolescent inflammatory bowel disease(IBD)patients during the transition period and provide evidence-based guidance for healthcare professionals in developing transition management strategies.Methods A systematic search was conducted across The Cochrane Library,PubMed,Web of Science,CINAHL,Embase,SinoMed,CNKI,Wanfang,and VIP databases for qualitative studies on adolescent IBD patients during transition,from database inception to May 2024.Eligible studies were critically appraised,and themes were synthesized using the meta-aggregation approach of meta-synthesis.Results Twelve studies were included,yielding 13 findings that were synthesized into five categories:self-development challenges,healthcare system transition barriers,family support conflicts,social adaptation difficulties,and lack of societal support systems.Conclusion Adolescents with IBD experience complex psychological challenges during transition,characterized by excessive psychological burdens,inadequate healthcare support,and insufficient societal recognition.Targeted interventions are needed to improve psychological outcomes during this critical phase.

Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.

Objective:To explore the value of using computed tomography(CT)values to distinguish fresh and old fractures vertebral bodies in osteoporotic vertebral compression fractures(OVCF).Methods:Retrospective analysis of clinical data of 101 OVCF patients in our hospital from September 2022 to September 2023.Kappa test for consistency between magnetic resonance imaging(MRI)and vertebral CT values in distinguished fresh or old OVCF.The difference of CT values between fresh,old fractures and adjacent normal vertebral bodies were compared.The diagnostic efficiency was analyed by receiver operating characteristic(ROC)curve.Results:There was a high consistency between vertebral CT values and MRI in the diagnosis of OVCF in fresh and old fractures(Kappa value=0.934).There was a difference in difference of CT values between adjacent normal vertebral bodies and fresh fractures vertebral bodies(P＜0.05).There was a difference in difference of CT values of fresh fractures vertebral bodies and old fractures vertebral bodies(P＜0.05).The ROC curve analysis results showed that,the combined measurement of CT values of fresh and old fractured vertebral bodies has an area under the curve(AUC)of 0.723,which was higher than alone measurement of the CT values of fresh fractured vertebral bodies and old fractured vertebral bodies of 0.536 and 0.610(Z=2.548,2.605,2.841,P＜0.05).Conclusion:CT values of vertebral bodies show high consistency in distinguish fresh and old fractures of OVCF compared to MRI findings,and the diagnostic efficiency of combine detection is relatively high.

Objective:To explore the prognostic value of peripheral blood lymphocyte subsets in patients with newly diagnosed multiple myeloma (NDMM) .Methods:The study retrospectively analyzed 133 patients with NDMM admitted to the General Hospital of Tianjin Medical University General Hospital between 2017 and 2022. The least absolute shrinkage and selection operator (LASSO) regression was used to screen the predictive subgroups from the peripheral blood lymphocyte subsets, and the optimal cutoff value was calculated through receiver operating characteristic curve analysis. A nomogram was constructed based on the results of the multiple-factor analysis, and the predictive performance of the nomogram was evaluated by the concordance index and calibration curve. Kaplan-Meier curves and log-rank tests were conducted to compare the differences in overall survival (OS) and progression-free survival between the high-risk and low-risk immune risk scores groups.Results:Using LASSO regression, the percentages and absolute counts of CD16 +CD56 + NK cells, CD3 + T lymphocytes, CD3 +CD8 + T lymphocytes, and CD3 -CD19 + B lymphocytes were selected as predictive subgroups. The immune risk score of patients with NDMM was calculated based on the coefficients of each lymphocyte subgroup. The area under the curve of the immune risk score was 0.737, and the optimal cutoff value was -1.834. Based on this, the patients were divided into high-risk and low-risk groups. Survival analysis showed a significant difference in the 3-year OS rate between the high-risk and low-risk immune risk score groups (87.4% vs 49.0%, P<0.001), and a significant difference in the 3-year OS rate between the high-risk and low-risk immune risk score groups in patients with minimal residual disease negative (100% vs 68.6%, P=0.001). Multivariate analysis showed that serum calcium ( P=0.034), high-risk cytogenetic abnormalities ( P=0.002), and immune risk score ( P<0.001) were prognostic factors for patients with NDMM, and a nomogram was constructed based on these factors. The consistency index of the nomogram was 0.793, and the calibration curve showed good predictive ability. The nomogram can accurately classify the risk of different prognostic staging systems. Conclusions:The combined analysis of lymphocyte subsets in the peripheral blood has an important value in predicting the prognosis of patients with NDMM.

Objective:To analyze the short-term efficacy and safety of robot-assisted laparoscopic partial nephrectomy（RAPN）for non-metastatic pathological stage T 3a renal cell carcinoma. Methods:The clinical and pathological data of 45 patients with pathologically confirmed non-metastatic T 3a renal cell carcinoma who underwent RAPN at Sun Yat-sen University Cancer Center between January 2016 and December 2023 were retrospectively reviewed. There were 30 males and 15 females. The average age of the cohort was（54.3±10.7）years，and the average clinical tumor diameter was（4.9±1.8）cm. Of all the patients，35（77.8%）were asymptomatic，7（15.6%）presented with hematuria，and 3（6.7%）presented with lumbar pain. Preoperative imaging assessed 34 patients（75.6%）as having clinical stage T 3a，all suspected of involving the collecting system or perirenal fat invasion；the remaining 11 patients（24.4%）were assessed as having stage T 1-2 disease. The median R.E.N.A.L. nephrectomy score was 8.0（7.0，10.0）. A history of hypertension，diabetes，or chronic kidney disease was present in 18 patients（40.0%）. The primary endpoint was progression-free survival，and the secondary endpoints included postoperative complications and short-term renal function outcomes. Survival curve was estimated using the Kaplan-Meier method，and renal function comparisons were made using the paired t-test. Results:The RAPN was performed through a transabdominal approach in 32 patients（71.1%），with a median estimated blood loss of 150.0（50.0，300.0）ml. Seven（15.6%）patients required intraoperative blood transfusion. The median length of postoperative hospital stay was 4.0（4.0，6.0）days. Postoperative complications occurred in 6 patients（13.3%），including 5（11.1%）with mild complications and 1（2.2%）with a severe complication. Renal function returned to baseline in 24 of 39 evaluable patients（61.5%），while 3 patients（7.7%）developed surgery-related chronic kidney disease 3 to 12 months postoperatively，but none required dialysis. The median follow-up time was 31.8（22.7，50.9）months，12（26.7%）patients received programmed cell death protein 1 inhibitor adjuvant therapy postoperatively. During follow-up，3 patients experienced tumor recurrence，the 3-year progression-free survival rate of the entire cohort was 95.4%.Conclusions:For some carefully selected patients with T 3a renal cell carcinoma，RAPN performed by experienced surgeons is a feasible and safe option，providing excellent short-term oncological outcomes，complication control，and renal function recovery. The long-term efficacy remains to be seen.