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.

Objective To explore the effectiveness of the generative large language model MedGo in nursing decision-making for elderly patients with multimorbidity. Methods A quasi-randomized controlled trial study was conducted involving 6 junior nurses, 6 senior nurses and the MedGo model from January 1, 2025 to March 31, 2025 at the Emergency Internal Medicine Ward of Shanghai East Hospital Affiliated to Tongji University. Clinical data of 120 elderly patients with multimorbidity were analyzed to compare the performance of the three groups in four tasks (nursing diagnosis assessment, nursing intervention formulation, complication identification, and complication prevention) from three evaluation dimensions: decision-making time consumption, decision accuracy, and decision-making quality. Results In terms of decision-making time, the senior nurse group completed all four tasks faster than the junior nurse group (P＜0.01), and the MedGo group completed all four tasks faster than the junior nurse group (P＜0.001) and the senior nurse group (P＜0.001). In terms of decision-making accuracy, senior nurse group scored higher than junior nurse group in all four tasks (P＜0.001), while the MedGo group outperformed the senior nurse group only in complication identification (P＜0.001). In terms of decision-making quality, the MedGo group scored higher than junior nurse group (P＜0.001) and senior nurse group (P＜0.001) in all four tasks. Conclusions The MedGo model demonstrates advantages of high efficiency, accuracy, and quality in nursing decision-making for elderly patients with multimorbidity; senior nurses outperform junior nurses in decision-making, providing diverse references for clinical nursing decision-making.

ObjectiveThis paper aims to observe the syndrome improvement and negative antigen conversion rate of Qingxuan Daozhi formula in the treatment of influenza in children （heat accumulation in the lung and stomach syndrome）. MethodsThrough a multi-center randomized controlled methodology design，confirmed influenza cases were collected from October 2022 to April 2023 in the pediatrics department of eight hospitals，such as Dongfang Hospital of Beijing University of Chinese Medicine. A total of 180 children with influenza and heat accumulation in the lung and stomach syndrome conforming to the standard were recruited through the clinic. The sick children meeting the inclusion criteria were randomly divided into groups by a block-randomized method. The children in the experimental group were treated with Qingxuan Daozhi formula for five days，and those in the control group were treated with Oseltamivir Phosphate Granules for five days. The primary efficacy indicator was the negative conversion rate of influenza antigen detection. Secondary efficacy indicators were the Canadian acute respiratory illness and flu scale （CARIFS） and the incidence of complications，severe cases， and critical cases. Follow-up observation was conducted on the day of enrollment，48 hours after medication，72 hours after medication， and （6+1） d after medication. ResultsOne hundred and eighty participants were randomly assigned to the experimental group （90 cases） or the control group （90 cases）. All participants were followed up during the study. Comparison of influenza antigen detection results in the primary efficacy indicators showed that the average time of negative influenza antigen conversion in the experimental group was （5.29±1.25） d，and that in the control group was （5.40±1.68） d，without a statistically significant difference. After five days of intervention，52 cases in the experimental group and 51 cases in the control group converted to negative，without a statistically significant difference. CARIFS score results in the secondary efficacy indicators showed that during 72 hours after intervention，there were statistically significant differences between the experimental group and the control group in three dimensions， including headache，muscle soreness， and the need for extra care （P<0.05）. On the （6+1） days after the intervention，the differences in both the experimental group and the control group were statistically significant in 10 dimensions， including sore throat，bad sleep，uncomfortable feeling，poor spirit and fatigue，crying more than usual，the need for extra care，symptom，function，influence on parents，and total score （P<0.05）. The comparison results within the group in the dimensional scores of symptom， function， and influence on parents，as well as the CARIFS total score showed that with the delay of follow-up time，scores of both groups decreased significantly，with a statistically significant difference （P<0.01）. Inter-group comparison results showed that the mean score of the experimental group was higher than that of the control group at the time of enrollment. With the progress of intervention，the score of the experimental group was significantly decreased compared with that of the control group. At the end of follow-up，the mean score of the experimental group was lower than that of the control group，with no statistically significant difference. In terms of the incidence of complications，severe cases， and critical cases， there were no complications，severe cases， and critical cases in the two groups，without a statistically significant difference. ConclusionThe symptom improvement effect and negative antigen conversion rate of Qingxuan Daozhi formula in the treatment of influenza in children （heat accumulation in the lung and stomach syndrome） are not inferior to Oseltamivir Phosphate granules， and children's acceptance is better. It can be more widely used in clinical treatment of influenza in children （heat accumulation in the lung and stomach syndrome）.

ObjectiveTo investigate the status and influencing factors of latent tuberculosis infection (LTBI) among close contacts of patients with bacteriologically confirmed pulmonary tuberculosis in Jing’an District, Shanghai, and to provide scientific evidence for the development of tuberculosis infection testing and preventive intervention strategies for close contacts of bacteriologically positive patients. MethodsFrom October 2022 to October 2023, patients with bacteriological confirmed pulmonary tuberculosis registered in Jing’an District, Shanghai, and their close contacts were enrolled as the research subjects. The close contacts were screened for tuberculosis infection using the interferon-γ release assay (IGRA). The chi-square test and binary logistic regression model were used to analyze factors influencing LTBI. ResultsA total of 112 close contacts were included, of whom 30 (26.79%) were male and 82 (73.21%) were female. The age ranged from 1 to 86 years, with a median (25th, 75th percentiles) of 47.50 (32.25, 61.00) years. The infection rate of LTBI was 21.43% (24/112), and the incidence of active pulmonary tuberculosis was 2.68% (3/112). Univariate analyses showed that a positive sputum smear of the index case, being a direct relative of the index case, co-living, and not wearing a mask were significantly associated with LTBI (all P<0.05). Multivariate logistic regression analyses showed that the risk of latent infection in close contacts of the index case with a positive sputum smear was 6.50 times higher than in those with a negative sputum smear (95%CI: 1.82‒23.25, P=0.004). ConclusionThe infection rate of LTBI in close contacts of patients with bacteriologically confirmed pulmonary tuberculosis in Jing’an District, Shanghai, is relatively high, and close contacts of sputum smear-positive patients face an even higher risk of infection. Therefore, tuberculosis infection screening and follow-up management should be strengthened for this population.

ObjectiveThis study aimed to evaluate the effects of cycloastragenol （CAG） on mitochondrial dysfunction during cardiac remodeling and to elucidate its regulatory role in myocardial energy metabolic homeostasis and the associated transcriptional regulatory axis. MethodsA rat model of heart failure （HF） was established by ligation of the left anterior descending coronary artery. Rats were randomly divided into a control group， a model group， a captopril group （3.25 mg·kg^-1）， a low-dose CAG group （10 mg·kg^-1， CAG-L）， and a high-dose CAG group （20 mg·kg^-1， CAG-H）. After 28 days of treatment， left ventricular ejection fraction （LVEF）， left ventricular fractional shortening （LVFS）， left ventricular end-diastolic diameter （LVIDd）， and left ventricular end-systolic diameter （LVIDs） were assessed by echocardiography. Serum levels of N-terminal pro-brain natriuretic peptide （NT-proBNP）， creatine kinase-MB （CK-MB）， cardiac troponinⅠ （cTnI）， interleukin-1β （IL-1β）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and cyclic adenosine monophosphate （cAMP） were measured by enzyme-linked immunosorbent assay （ELISA）. Hematoxylin-eosin （HE） and Masson's trichrome staining were used to evaluate myocardial histopathology and fibrosis. Wheat germ agglutinin （WGA）， reactive oxygen species （ROS）， and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） staining were performed to assess cardiomyocyte hypertrophy， oxidative stress， and apoptosis. Adenosine triphosphate （ATP） content and the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ were determined by colorimetric assays. The mRNA expression of α-smooth muscle actin （α-SMA）， Col Ⅰ， and Col Ⅲ was detected by Real-time quantitative polymerase chain reaction （Real-time PCR）， while the protein levels of β₂-adrenergic receptor （ADRB2）， protein kinase A （PKA）， phosphorylated cAMP response element-binding protein/total cAMP response element-binding protein （p-CREB/CREB）， peroxisome proliferator-activated receptor γ coactivator-1α （PGC-1α）， nuclear respiratory factor 1 （NRF1）， and mitochondrial transcription factor A （TFAM） were analyzed by Western blot. ResultsCompared with the control group， the model group exhibited significantly decreased LVEF， LVFS， and ATP levels （P<0.05）， and markedly increased LVIDd， LVIDs， NT-proBNP， CK-MB， cTnI， IL-1β， IL-6， TNF-α， ROS levels， TUNEL-positive rate， Col deposition area， and the mRNA expression of α-SMA， Col Ⅰ， and Col Ⅲ （P<0.05）. In addition， the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ， the protein expression of ADRB2， PKA， p-CREB， PGC-1α， NRF1， and TFAM， as well as the cAMP content， were significantly reduced （P<0.05）. Compared with the model group， both low- and high-dose CAG significantly increased LVEF and LVFS， and decreased LVIDd， LVIDs， and the levels of NT-proBNP， CK-MB， and cTnI （P<0.05）. CAG treatment alleviated myocardial disarray and Collagen deposition， and downregulated the mRNA expression of α-SMA， Col Ⅰ， and Col Ⅲ. The treatment markedly reduced ROS generation and the TUNEL-positive rate （P<0.05）， thereby attenuating cardiomyocyte hypertrophy and inflammatory responses. Furthermore， CAG treatment increased ATP content and the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ， accompanied by upregulation of PGC-1α， NRF1， TFAM， ADRB2， PKA， and p-CREB protein expression as well as cAMP levels （P<0.05）. The CAG-H group showed the most pronounced improvements， which were superior to those of the captopril group and the CAG-L group. ConclusionCycloastragenol delays adverse cardiac remodeling and improves cardiac function by activating the ADRB2-mediated GPCR/cAMP/PKA/CREB signaling pathway， enhancing the PGC-1α/NRF1/TFAM activity， promoting mitochondrial energy metabolism remodeling， and suppressing oxidative stress， inflammation， and myocardial fibrosis.

ObjectiveThis study aimed to evaluate the effects of cycloastragenol （CAG） on mitochondrial dysfunction during cardiac remodeling and to elucidate its regulatory role in myocardial energy metabolic homeostasis and the associated transcriptional regulatory axis. MethodsA rat model of heart failure （HF） was established by ligation of the left anterior descending coronary artery. Rats were randomly divided into a control group， a model group， a captopril group （3.25 mg·kg^-1）， a low-dose CAG group （10 mg·kg^-1， CAG-L）， and a high-dose CAG group （20 mg·kg^-1， CAG-H）. After 28 days of treatment， left ventricular ejection fraction （LVEF）， left ventricular fractional shortening （LVFS）， left ventricular end-diastolic diameter （LVIDd）， and left ventricular end-systolic diameter （LVIDs） were assessed by echocardiography. Serum levels of N-terminal pro-brain natriuretic peptide （NT-proBNP）， creatine kinase-MB （CK-MB）， cardiac troponinⅠ （cTnI）， interleukin-1β （IL-1β）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and cyclic adenosine monophosphate （cAMP） were measured by enzyme-linked immunosorbent assay （ELISA）. Hematoxylin-eosin （HE） and Masson's trichrome staining were used to evaluate myocardial histopathology and fibrosis. Wheat germ agglutinin （WGA）， reactive oxygen species （ROS）， and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） staining were performed to assess cardiomyocyte hypertrophy， oxidative stress， and apoptosis. Adenosine triphosphate （ATP） content and the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ were determined by colorimetric assays. The mRNA expression of α-smooth muscle actin （α-SMA）， Col Ⅰ， and Col Ⅲ was detected by Real-time quantitative polymerase chain reaction （Real-time PCR）， while the protein levels of β₂-adrenergic receptor （ADRB2）， protein kinase A （PKA）， phosphorylated cAMP response element-binding protein/total cAMP response element-binding protein （p-CREB/CREB）， peroxisome proliferator-activated receptor γ coactivator-1α （PGC-1α）， nuclear respiratory factor 1 （NRF1）， and mitochondrial transcription factor A （TFAM） were analyzed by Western blot. ResultsCompared with the control group， the model group exhibited significantly decreased LVEF， LVFS， and ATP levels （P<0.05）， and markedly increased LVIDd， LVIDs， NT-proBNP， CK-MB， cTnI， IL-1β， IL-6， TNF-α， ROS levels， TUNEL-positive rate， Col deposition area， and the mRNA expression of α-SMA， Col Ⅰ， and Col Ⅲ （P<0.05）. In addition， the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ， the protein expression of ADRB2， PKA， p-CREB， PGC-1α， NRF1， and TFAM， as well as the cAMP content， were significantly reduced （P<0.05）. Compared with the model group， both low- and high-dose CAG significantly increased LVEF and LVFS， and decreased LVIDd， LVIDs， and the levels of NT-proBNP， CK-MB， and cTnI （P<0.05）. CAG treatment alleviated myocardial disarray and Collagen deposition， and downregulated the mRNA expression of α-SMA， Col Ⅰ， and Col Ⅲ. The treatment markedly reduced ROS generation and the TUNEL-positive rate （P<0.05）， thereby attenuating cardiomyocyte hypertrophy and inflammatory responses. Furthermore， CAG treatment increased ATP content and the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ， accompanied by upregulation of PGC-1α， NRF1， TFAM， ADRB2， PKA， and p-CREB protein expression as well as cAMP levels （P<0.05）. The CAG-H group showed the most pronounced improvements， which were superior to those of the captopril group and the CAG-L group. ConclusionCycloastragenol delays adverse cardiac remodeling and improves cardiac function by activating the ADRB2-mediated GPCR/cAMP/PKA/CREB signaling pathway， enhancing the PGC-1α/NRF1/TFAM activity， promoting mitochondrial energy metabolism remodeling， and suppressing oxidative stress， inflammation， and myocardial fibrosis.

The interest in covalent drugs has resurged in recent decades, spurring the development of numerous specialized computational docking tools to facilitate covalent ligand design and screening. Herein, we present CarsiDock-Cov, a new paradigm distinguishing itself as the first deep learning (DL)-guided approach for covalent docking. CarsiDock-Cov retains the core components of its non-covalent predecessor, leveraging a DL model pretrained on millions of docking complexes to predict protein-ligand distance matrices, along with a dedicated-designed geometric optimization procedure to convert these distances into refined binding poses. Additionally, it incorporates several key enhancements specifically tailored to optimize the protocol for covalent docking applications. Our approach has been extensively validated on multiple public datasets regarding the docking and screening of covalent ligands, and the results indicate that our approach not only achieves comparably improved applicability compared to its non-covalent predecessor, but also exhibits competitive performance against various state-of-the-art covalent docking tools. Collectively, our approach represents a significant advance in covalent docking methodology, offering an automated and efficient solution that shows considerable promise for accelerating covalent drug discovery and design.

BACKGROUND: This study aimed to investigate programmed death-ligand 1 tumor proportion score in predicting the safety and efficacy of PD-1/PD-L1 antibody-based therapy in treating patients with advanced non-small cell lung cancer (NSCLC) in a real-world setting. METHODS: This retrospective, multicenter, observational study enrolled adult patients who received PD-1/PD-L1 antibody-based therapy in China and met the following criteria: (1) had pathologically confirmed, unresectable stage III-IV NSCLC; (2) had a baseline PD-L1 tumor proportion score (TPS); and (3) had confirmed efficacy evaluation results after PD-1/PD-L1 treatment. Logistic regression, Kaplan-Meier analysis, and Cox regression were used to assess the progression-free survival (PFS), overall survival (OS), and immune-related adverse events (irAEs) as appropriate. RESULTS: A total of 409 patients, 65.0% ( n = 266) with a positive PD-L1 TPS (≥1%) and 32.8% ( n = 134) with PD-L1 TPS ≥50%, were included in this study. Cox regression confirmed that patients with a PD-L1 TPS ≥1% had significantly improved PFS (hazard ratio [HR] 0.747, 95% confidence interval [CI] 0.573-0.975, P = 0.032). A total of 160 (39.1%) patients experienced 206 irAEs, and 27 (6.6%) patients experienced 31 grade 3-5 irAEs. The organs most frequently associated with irAEs were the skin (52/409, 12.7%), thyroid (40/409, 9.8%), and lung (34/409, 8.3%). Multivariate logistic regression revealed that a PD-L1 TPS ≥1% (odds ratio [OR] 1.713, 95% CI 1.054-2.784, P = 0.030) was an independent risk factor for irAEs. Other risk factors for irAEs included pretreatment absolute lymphocyte count >2.5 × 10 9 /L (OR 3.772, 95% CI 1.377-10.329, P = 0.010) and pretreatment absolute eosinophil count >0.2 × 10 9 /L (OR 2.006, 95% CI 1.219-3.302, P = 0.006). Moreover, patients who developed irAEs demonstrated improved PFS (13.7 months vs. 8.4 months, P <0.001) and OS (28.0 months vs. 18.0 months, P = 0.007) compared with patients without irAEs. CONCLUSIONS A positive PD-L1 TPS (≥1%) was associated with improved PFS and an increased risk of irAEs in a real-world setting. The onset of irAEs was associated with improved PFS and OS in patients with advanced NSCLC receiving PD-1/PD-L1-based therapy.
Humans ; Carcinoma, Non-Small-Cell Lung/metabolism* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Lung Neoplasms/metabolism* ; Aged ; B7-H1 Antigen/metabolism* ; Programmed Cell Death 1 Receptor/metabolism* ; Adult ; Aged, 80 and over ; Immune Checkpoint Inhibitors/therapeutic use*

BACKGROUND: Concurrent chemo-radiotherapy (CCRT) is the standard treatment for locally advanced cervical cancer (LACC), but there are still many patients who suffer tumor recurrence. However, valuable predictors of treatment outcomes remain limited. This study aimed to assess the value of the serum immune biomarkers to predict the prognosis. METHODS: We reviewed cervical cancer patients treated with CCRT between January 2014 and May 2018 at Peking Union Medical College Hospital. The systemic immune inflammation index (SII), systemic inflammation response index (SIRI), and lactate dehydrogenase (LDH) were calculated using blood samples. The relationship between immune markers and the treatment outcome was analyzed. The area under the receiver operating characteristic (ROC) curve was used to evaluate the predictive efficiency. The Cox proportional hazards model and log-rank were used to predict overall survival (OS) and disease-free survival (DFS). RESULTS: This study included 667 patients. Among them, 195 (29.2%) patients were defined as treatment failure, including 127 (19.0%) patients with pelvic failure, 94 (14.1%) distant failure, and 25 (3.7%) concurrent pelvic and distant failure. It revealed that the tumor stage, size, metastatic lymph nodes (MLNs), and serum immune biomarkers, such as SII, SIRI, and LDH, were significantly related to treatment outcomes. We demonstrated that the optimal cut-off of the SII, SIRI, and LDH were 970.4 × 10 9 /L, 1.3 × 10 9 /L, and 207.52 U/L, respectively. Importantly, this study presented that LDH level had the highest OR (OR = 4.2; 95% CI [2.3-10.8]). Furthermore, the OS and DFS for patients with pre-SII ≥970.5 × 10 9 /L were significantly worse than those with pre-SII <970.5 × 10 9 /L. Similarly, pre-SIRI ≥1.25 × 10 9 /L and pre-LDH ≥207.5 U/L were related to poor survival outcomes. CONCLUSIONS This study demonstrated that the baseline SII, SIRI, and LDH levels can be used to accurately and effectively predict the treatment outcomes after CCRT and long-term prognosis. Our results may offer additional prognostic information in clinical, which helps to detect the potential recurrent metastasis in time.
Humans ; Female ; Uterine Cervical Neoplasms/drug therapy* ; Middle Aged ; Adult ; Aged ; Chemoradiotherapy/methods* ; L-Lactate Dehydrogenase/blood* ; Treatment Outcome ; Disease-Free Survival ; Prognosis ; ROC Curve ; Biomarkers, Tumor/blood* ; Proportional Hazards Models