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 association between the cumulative effect of body mass index (BMI) in childhood and the frequency of elevated blood pressure and cumulative burden of blood pressure, so as to provide a basis for preventing high blood pressure in children. Methods: Data were derived from the "Cardiometabolic Risk Cohort Study" conducted from 2012 to 2018, which included all students from three nine year schools (comprising primary and secondary school) in Zigong City. A total of 1 583 students with normal blood pressure at baseline were included in the study. Questionnaires and physical examinations were administered to collect demographic information, BMI, systolic blood pressure (SBP), and diastolic blood pressure (DBP). Follow up surveys were conducted annually. To measure cumulative effects, the total area under the BMI curve (BMI-AUCt), cumulative burden of SBP (CB-SBP), and cumulative burden of DBP (CB-DBP) were calculated using the trapezoidal rule. Multinomial Logistic regression models were employed to analyze the relationship between BMI-AUCt and the frequency of elevated blood pressure during the follow up period. Additionally, multiple linear regression models combined with restricted cubic splines (RCS) were used to explore the dose response relationships of BMI-AUCt with CB-SBP and CB-DBP, respectively. Results: At baseline, the median ( IQR ) values for BMI, SBP and DBP of the students were 15.0(14.2, 16.1) kg/m 2 ，89.0(87.0, 90.0) mmHg and 58.0(54.0, 60.0 ) mmHg, respectively. During follow up, the median( IQR ) BMI, SBP and DBP for students with 0, 1 and ≥2 occurrences of high blood pressure were: 14.8(14.0, 15.9), 15.2(14.3, 16.3), 15.8(14.9, 17.0) kg/m 2; 89.0(87.0, 90.0),89.0(87.0,90.0), 89.0(87.0, 90.0)mmHg; 58.0(54.0, 60.0), 58.0(54.0, 59.5), 59.0(56.0, 59.0) mmHg. Results from the multinomial Logistic regression model, after adjusting for baseline age, sex, school, overweight/obesity status and number of measurements showed that compared to students with 0 occurrence of high blood pressure during follow up, for every 1 unit increase in BMI-AUCt, the risk of having 1 occurrence and ≥2 occurrences of high blood pressure increased by 4%( OR =1.04) and 6%( OR =1.06), respectively(both P <0.05). Multiple linear regression combined with restricted cubic splines(RCS) revealed non linear dose response relationships between BMI-AUCt and both CB-SBP and CB-DBP(all P trend <0.01, all P non linearity <0.01). Specifically, BMI-AUCt was positively correlated with CB-SBP when BMI-AUCt exceeded 30.08 kg/m 2×year( β =0.13) and with CB-DBP when BMI-AUCt exceeded 48.41 kg/m 2×year( β =0.12)(both P <0.01). Conclusions Children with a higher cumulative BMI may face an increased risk of cumulative blood pressure burden. It is necessary to enhance dynamic monitoring of children s BMI and blood pressure for reducing the risk of elevated blood pressure in childhood.

To investigate the effect of Ginkgo biloba extract (GBE) on lipids accumulation and the progression of atherosclerosis(AS), ApoE-/- mice fed with HFD were injected i.g. with two different doses of GBE (GBE-L 50 mg/(kg·d) or GBE-H 150 mg/(kg·d)) for 9 weeks. The core targets and potential mechanisms of GBE therapy for AS were investigated using network pharmacological target prediction. Subsequently, oxidized low-density lipoprotein (ox-LDL)-induced THP-1 was used to investigate the effect of GBE on foam cell formation through oil red staining and Dil-oxLDL fluorescent staining. The mRNA alterations in cholesterol uptake and efflux receptors were detected by real-time quantitative PCR. Finally, the impact of GBE on the expression of PPARγ as the core target was assessed through Western blot and immunofluorescence. It was found that GBE improved serum lipid profile, reduced necrotic cores and lipid deposition in aortic root plaques, and decreased the level of inflammatory factors in serum of ApoE-/- mice. Moreover, GBE treatment reduced the level of intracellular lipid accumulation and inhibited cholesterol uptake and efflux to alleviate foam cell formation. GBE activated PPARγ to enhance ABCA1/ABCG1-induced cholesterol efflux in THP-1. These results suggest that GBE can suppress lipid accumulation and alleviate foam cell formation by activating PPARγ pathway.

ObjectiveTo investigate the modifiable areal unit problem （MAUP） in the spatial pattern of Pseudostellaria heterophylla production regions and reveal the impact of statistical scales on the spatial distribution characteristics of this medicinal plant species. MethodsUsing multi-source data （literature records， field surveys， and statistical data）， we systematically analyzed the spatial patterns across three administrative levels （provincial， prefectural， and county scales）. Spatial autocorrelation （Moran's I） analysis， high-low clustering （Getis-Ord General G）， and hot/cold spot analysis （Getis-Ord Gi*） were employed. ResultsThe literature-based analysis showed that the production regions of P. heterophylla presented random distribution on the provincial scale and significant aggregation on the prefectural scale. The field survey data showed that the production regions displayed random distribution on the provincial scale but significant aggregation on both prefectural and county scales. The statistical data revealed that the production regions lacked spatial autocorrelation on the provincial scale but demonstrated significant aggregation on prefectural and county scales. ConclusionMAUP effects have substantive implications for understanding and decision-making in the arrangement of medicinal plant production regions. The county scale proves to be the most sensitive and explanatory level for analyzing the spatial pattern of P. heterophylla production regions， providing a critical foundation for habitat modeling， suitability evaluation， and ecological cultivation planning of medicinal plants.

Objective: To evaluate the structural communication advantages of peers with medical background in social networks and their intervention effects on college students knowledge, attitudes, and practices (KAP) levels in the prevention and control of human immunodeficiency virus (HIV), so as to provide theoretical support and practical pathways for structured health communication. Methods: From April to June in 2025, 367 undergraduates were selected by stratified cluster random sampling in Nankai University. A multimodal strategy was employed to construct students social networks. Fifty peer nodes were selected through a four step screening process:betweenness centrality ≥0.3, eigenvector centrality ≥ P 90 , serving as student leader for at least one year,being mentioned ≥2 times in classroom interactions and information exchanges, with a total of five rounds, each lasting five days. Peer leaders daily pushed five Micromessage (knowledge points, interactive topics, or videos) through WeChat/QQ groups. KAP scale scores for AIDS prevention and treatment were measured before and after the intervention, and intervention effectiveness and predictive factors were analyzed using paired t-tests and Logistic regression analysis. Results: After the intervention, the total KAP score for AIDS prevention and treatment increased from (65.86±6.58) to (71.27±4.90) ( t=-12.84, P <0.01). The intermediary centrality (0.51±0.09) in the medical group was significantly higher than the non medical group (0.34±0.12) ( t=3.18, P < 0.01 ), with an average daily peak transmission rate of 8.71 people, and the network modularity increased from 0.39 to 0.47 (Δ Q=0.09, P < 0.01). The interaction between structural advantages and medical background significantly predicted KAP improvement ( OR= 4.21 , 95%CI=1.89-9.38, P <0.05). Conclusions Professional peers have significant structural communication advantages in HIV prevention and treatment interventions in colleges and universities. It is recommended to optimize sub node screening strategies by combining network structure and professional background.

Malignant proliferating liver cancer cells possess the ability to detect and respond to various body signals, thereby facilitating tumor growth, invasion, and metastasis. One crucial mechanism through which hepatocellular carcinoma (HCC) cells interpret these signals is crosstalk. Within liver cancer tissues, cancer cells engage in communication with hepatic stellate cells (HSCs), tumor-associated macrophages (TAMs), and immune cells. This interaction plays a pivotal role in regulating the proliferation, invasion, and metastasis of HCC cells. Crosstalk occurs in multiple ways, each characterized by distinct functions. Its molecular mechanisms primarily involve regulating immune cell functions through the expression of specific receptors, such as CD24 and CD47, modulating cell functions by secreting cytokines like transforming growth factor-β (TGF-β) and platelet-derived growth factor (PDGF), and mediating cell growth and proliferation by activating pathways such as Wnt/β-catenin and Hedgehog. A comprehensive understanding of the mechanisms and interactions within crosstalk is essential for unraveling the pathogenesis of HCC. It also opens up new avenues for the development of innovative therapeutic strategies. This article reviews the relationship between crosstalk and the progression of HCC, offering insights and inspiration for future research.
Humans ; Carcinoma, Hepatocellular/metabolism* ; Liver Neoplasms/metabolism* ; Hepatic Stellate Cells/physiology* ; Disease Progression ; Signal Transduction/physiology* ; Transforming Growth Factor beta/metabolism* ; Cell Proliferation ; Hedgehog Proteins/metabolism* ; Tumor-Associated Macrophages ; Platelet-Derived Growth Factor/metabolism* ; Cell Communication/physiology*

In this experiment, self-assembled nanoparticles(SANs) were prepared by the pH-driven method, and Her-HCP SAN was constructed by using herpetrione(Her) and Herpetospermum caudigerum polysaccharides(HCPs). The average particle size and polydispersity index(PDI) were used as evaluation indexes for process optimization, and the quality of the final formulation was evaluated in terms of particle size, PDI, Zeta potential, and microstructure. The proposed Her-HCP SAN showed a spheroid structure and uniform morphology, with an average particle size of(244.58±16.84) nm, a PDI of 0.147 1±0.014 8, and a Zeta potential of(-38.52±2.11) mV. Her-HCP SAN significantly increased the saturation solubility of Her by 2.69 times, with a cumulative release of 90.18% within eight hours. The results of in vivo unidirectional intestinal perfusion reveal that Her active pharmaceutical ingredient(API) is most effectively absorbed in the jejunum, where both K_a and P_(app) are significantly higher compared to the ileum(P<0.001). However, the addition of HCP leads to a significant reduction in the P_(app) of Her in the jejunum(P<0.05). Furthermore, the formation of the Her-HCP SAN results in a notably lower P_(app) in the jejunum compared to Her API alone(P<0.001), while both K_a and P_(app) in the ileum are significantly increased(P<0.001, P<0.05). The absorption of Her-HCP SAN at different concentrations in the ileum shows no significant differences, and the pH has no significant effect on the absorption of Her-HCP SAN in the ileum. The addition of the transporter protein inhibitors(indomethacin and rifampicin) significantly increases the absorption parameters K_a and P_(app) of Her-HCP SAN in the ileum(P<0.05,P<0.01), whereas the addition of verapamil has no significant effect on the intestinal absorption parameters of Her-HCP SAN, suggesting that Her may be a substrate for multidrug resistance-associated protein 2 and breast cancer resistance proteins but not a substrate of P-glycoprotein.
Nanoparticles/metabolism* ; Polysaccharides/pharmacokinetics* ; Intestinal Absorption/drug effects* ; Animals ; Rats ; Particle Size ; Drugs, Chinese Herbal/pharmacokinetics* ; Male ; Rats, Sprague-Dawley ; Drug Carriers/chemistry* ; Drug Compounding ; Cucurbitaceae/chemistry*