Tissue repair requires the reconstruction of functional vascular networks to restore oxygen and nutrient delivery, eliminate metabolic waste, and maintain tissue homeostasis. Although biochemical factors such as growth factors and cytokines have been extensively studied in vascular regeneration, increasing evidence indicates that mechanical signals from the extracellular matrix (ECM) are equally important regulators of angiogenesis. Matrix stiffness, as a major biomechanical property of the tissue microenvironment, provides critical information that influences endothelial cell (EC) behavior and vascular remodeling through mechanotransduction. However, the biological effects of matrix stiffness are not universally defined as either pro- or anti-angiogenic, but are highly dependent on tissue context, cellular composition, disease progression, and the dynamic changes occurring during tissue repair. Therefore, understanding how matrix stiffness regulates vascular regeneration is essential for developing more precise strategies for tissue engineering and regenerative medicine. In this review, we summarize recent advances in the regulation of angiogenesis by matrix stiffness during tissue repair from multiple perspectives. First, we discuss the direct effects of matrix stiffness on EC behaviors, including differentiation, morphological remodeling, migration, proliferation, barrier maintenance, and vascular network formation. ECs sense mechanical alterations in the surrounding matrix through various mechanosensitive structures, including integrins, focal adhesion complexes, and mechanosensitive ion channels such as Piezo1 and TRPV proteins. These mechanical signals are subsequently transmitted through intracellular pathways involving FAK, RhoA/ROCK, MAPK, and Hippo-YAP/TAZ signaling, leading to cytoskeletal reorganization and transcriptional regulation. Through these mechanisms, matrix stiffness regulates endothelial functional states and determines the balance between regenerative vascular formation and pathological vascular remodeling. Beyond the direct regulation of ECs, we further highlight the importance of stiffness-mediated intercellular communication within the regenerative microenvironment. Matrix stiffness can regulate the behavior and secretory profiles of vascular-associated cells, including mesenchymal stem cells and macrophages, thereby indirectly affecting endothelial function through paracrine mechanisms. Changes in matrix mechanics influence the secretion of angiogenic factors, inflammatory cytokines, and extracellular vesicles from these cells, creating a mechanical regulation network that coordinates vascular regeneration. This perspective extends the traditional concept of matrix stiffness from a physical support structure to an active regulatory signal that integrates multiple cellular responses during tissue repair. Furthermore, we discuss the tissue-specific effects of matrix stiffness in vascular regeneration across different organs, including the aorta, lung, liver, and heart. Although excessive matrix stiffening is frequently associated with fibrosis and vascular dysfunction, the consequences of mechanical changes vary considerably among tissues. Moderate stiffness alterations may support endothelial activation and vascular stabilization in certain regenerative contexts, whereas persistent pathological stiffening can promote inflammation, endothelial dysfunction, and impaired vascular repair. These findings emphasize that the biological meaning of “soft” and “stiff” microenvironments should be interpreted according to specific tissue and experimental conditions rather than as universal mechanical classifications. Finally, we summarize current challenges and future perspectives in this field. A major limitation is the lack of standardized mechanical characterization among different studies, as stiffness measurements are influenced by material properties, testing methods, and experimental conditions, limiting direct comparison across research systems. Moreover, most existing models fail to fully reproduce the dynamic and viscoelastic properties of native ECM during tissue regeneration. Future studies should combine advanced biomaterials with standardized mechanical analysis, organoid models, and multi-omics approaches to establish more accurate mechanical regulatory maps. Overall, this review proposes that matrix stiffness is not merely a structural feature of tissues, but an active biological signal that regulates vascular regeneration through coordinated mechanotransduction and multicellular interactions. A deeper understanding of stiffness-mediated vascular regulation will provide new theoretical insights and therapeutic opportunities for improving tissue repair outcomes.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

ObjectiveTo investigate the anti-inflammatory and antioxidant effects of baicalin for treating chronic obstructive pulmonary disease （COPD） in rats and decipher the molecular mechanisms via the nuclear factor-kappa B （NF-κB）/nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway. MethodsSixty SPF-grade male Sprague-Dawley rats were randomly assigned into six groups： normal control， COPD model， low-dose baicalin， medium-dose baicalin， high-dose baicalin， and budesonide. The normal control group received no treatment， whereas COPD was modeled in other groups with a combined modeling approach involving intratracheal lipopolysaccharide instillation and passive cigarette smoke exposure. The model establishment was evaluated through behavioral observation combined with pathological examination. Hematoxylin-eosin （HE） staining was performed to assess histopathological changes in the lung. Serum levels of inflammatory cytokines ［interleukin （IL）-6， IL-8， IL-17， IL-22， tumor necrosis factor （TNF）-α， and transforming growth factor （TGF）-β）］， reactive oxygen species （ROS）， and vascular endothelial growth factor （VEGF） were quantified by enzyme-linked immunosorbent assay （ELISA）. Meanwhile， the levels of IL-6， IL-17， and IL-22 in the bronchoalveolar lavage fluid （BALF） and IL-10， IL-22， and TNF-α in the lung tissue were measured via ELISA. Immunohistochemistry （IHC） was employed to detect the expression of histone deacetylase 2 （HDAC2） and Nrf2. Western blot was performed to evaluate the expression of phosphoinositide 3-kinase （PI3K）， protein kinase B （Akt）， glucocorticoid receptor （GR）， NF-κB， HDAC2， and Nrf2 in the lung tissue. Additionally， real-time PCR was conducted to assess the mRNA levels of PI3K， Akt， HDAC2， Nrf2， GR， and NF-κB in the lung tissue. ResultsHE staining revealed that the airway mucosal epithelium in the COPD model group appeared extensive shedding， structural disorganization， and diffuse infiltration of inflammatory cells within the lumen. And goblet cells showed compensatory proliferation with pathological hypertrophy of mucus glands. In contrast， inflammatory infiltration and alveolar overdistension were significantly alleviated in the medium- and high-dose baicalin groups. The COPD model group exhibited mucus plug formation within the terminal bronchioles， along with fibrotic narrowing of the bronchial wall. Moreover， the smooth muscle bundles of the bronchial wall were hypertrophic， with concomitant collagen deposition. Progressive dissolution and rupture of alveolar septa were observed， leading to the formation of abnormally enlarged air-filled cavities. However， the bronchial wall structure was largely restored with only mild thickening of the smooth muscle layer in the baicalin groups. Compared with the COPD model group， the medium- and high-dose baicalin groups showed declined ROS and VEGF levels （P<0.05）， and all the baicalin groups presented lowered levels of IL-6， IL-8， IL-17， IL-22， TGF-β， and TNF-α and elevated level of IL-10 （P<0.05）. Baicalin upregulated the protein levels of HDAC2， Nrf2， GR， PI3K， and Akt， while suppressing the protein level of NF-κB （P<0.05）. Furthermore， baicalin increased the mRNA levels of Nrf2 and GR while down-regulating the mRNA level of NF-κB （P<0.05）. ConclusionBaicalin exerts anti-inflammatory and antioxidant effects by inhibiting the pro-inflammatory factor NF-κB while enhancing the expression of the anti-inflammatory factor HDAC2 and activating the antioxidant factor Nrf2， thereby alleviating the lung tissue damage in COPD rats. The therapeutic effects of baicalin may be closely associated with its regulatory role in the NF-κB/Nrf2 signaling pathway.

ObjectiveTo investigate the anti-inflammatory and antioxidant effects of baicalin for treating chronic obstructive pulmonary disease （COPD） in rats and decipher the molecular mechanisms via the nuclear factor-kappa B （NF-κB）/nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway. MethodsSixty SPF-grade male Sprague-Dawley rats were randomly assigned into six groups： normal control， COPD model， low-dose baicalin， medium-dose baicalin， high-dose baicalin， and budesonide. The normal control group received no treatment， whereas COPD was modeled in other groups with a combined modeling approach involving intratracheal lipopolysaccharide instillation and passive cigarette smoke exposure. The model establishment was evaluated through behavioral observation combined with pathological examination. Hematoxylin-eosin （HE） staining was performed to assess histopathological changes in the lung. Serum levels of inflammatory cytokines ［interleukin （IL）-6， IL-8， IL-17， IL-22， tumor necrosis factor （TNF）-α， and transforming growth factor （TGF）-β）］， reactive oxygen species （ROS）， and vascular endothelial growth factor （VEGF） were quantified by enzyme-linked immunosorbent assay （ELISA）. Meanwhile， the levels of IL-6， IL-17， and IL-22 in the bronchoalveolar lavage fluid （BALF） and IL-10， IL-22， and TNF-α in the lung tissue were measured via ELISA. Immunohistochemistry （IHC） was employed to detect the expression of histone deacetylase 2 （HDAC2） and Nrf2. Western blot was performed to evaluate the expression of phosphoinositide 3-kinase （PI3K）， protein kinase B （Akt）， glucocorticoid receptor （GR）， NF-κB， HDAC2， and Nrf2 in the lung tissue. Additionally， real-time PCR was conducted to assess the mRNA levels of PI3K， Akt， HDAC2， Nrf2， GR， and NF-κB in the lung tissue. ResultsHE staining revealed that the airway mucosal epithelium in the COPD model group appeared extensive shedding， structural disorganization， and diffuse infiltration of inflammatory cells within the lumen. And goblet cells showed compensatory proliferation with pathological hypertrophy of mucus glands. In contrast， inflammatory infiltration and alveolar overdistension were significantly alleviated in the medium- and high-dose baicalin groups. The COPD model group exhibited mucus plug formation within the terminal bronchioles， along with fibrotic narrowing of the bronchial wall. Moreover， the smooth muscle bundles of the bronchial wall were hypertrophic， with concomitant collagen deposition. Progressive dissolution and rupture of alveolar septa were observed， leading to the formation of abnormally enlarged air-filled cavities. However， the bronchial wall structure was largely restored with only mild thickening of the smooth muscle layer in the baicalin groups. Compared with the COPD model group， the medium- and high-dose baicalin groups showed declined ROS and VEGF levels （P<0.05）， and all the baicalin groups presented lowered levels of IL-6， IL-8， IL-17， IL-22， TGF-β， and TNF-α and elevated level of IL-10 （P<0.05）. Baicalin upregulated the protein levels of HDAC2， Nrf2， GR， PI3K， and Akt， while suppressing the protein level of NF-κB （P<0.05）. Furthermore， baicalin increased the mRNA levels of Nrf2 and GR while down-regulating the mRNA level of NF-κB （P<0.05）. ConclusionBaicalin exerts anti-inflammatory and antioxidant effects by inhibiting the pro-inflammatory factor NF-κB while enhancing the expression of the anti-inflammatory factor HDAC2 and activating the antioxidant factor Nrf2， thereby alleviating the lung tissue damage in COPD rats. The therapeutic effects of baicalin may be closely associated with its regulatory role in the NF-κB/Nrf2 signaling pathway.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Objective:To explore the prognostic value of artificial intelligence-based P53 and Ki67 detection in stage I non-mucinous adenocarcinoma(INMA)of lung.Methods:A retrospective analysis was made of patients treated by radical surgical resection for INMA of lung in the Department of Thoracic Surgery of Peking University First Hospital from Jan.2015 to Dec.2016,with complete clinicopathological and 5-year follow-up data.Immunohistochemical staining for P53 and Ki67 was performed on all cases and the index of P53 and Ki67 was calculated with the assistance of artificial intelligence(AI).The optimal cut-off values for P53 and Ki67 were determined using X-Tile software,and based on these values,the patients were divided into low-expression and high-expression groups.Pearson chi-square test and Fisher's exact test were used to compare the differences in clinicopathological characteristics between the different groups.Univariate and multivariate Cox regression analyses were performed to assess the impact of various indicators on 5-year overall survival(OS)and disease-free survival (DFS)for stage I INMA.The time-dependent receiver operating characteristic(ROC) curves and the area under the curve(AUC)was used to analyze the predictive performance of P53 and Ki67 for the prognosis of stage I INMA.Results:Among the 191 patients, the median follow-up time was 60(54, 60) months. The index of P53 and Ki67 were 0%-100% and 1.0%-78.0%,respectively. The X-Tile software revealed optimal cut-off values of 62% for P53 and 20% for Ki67.Then the patients were divided into P53 low-expression group (<62%), P53 high-expression (≥62%) group and Ki67 low-expression (<20%)group,Ki67 high-expression group (≥20%). High expression of P53 was associated with male ( χ2=12.45, P<0.001), smoking ( χ2=12.24, P<0.001), pTNM stage ( χ2=16.28, P<0.001), and histological grade ( P<0.001). High expression of Ki67 was associated with male ( χ2=17.33, P<0.01), smoking ( χ2=21.67, P<0.01), and histological grade ( P<0.001). Male ( HR=2.612, 95% CI: 1.173-5.815, P=0.019), smoking ( HR=2.651, 95% CI: 1.246-5.642, P=0.011), high pTNM stage ( HR=3.815, 95% CI: 1.792-8.122, P<0.001), high histological grade ( HR=5.277, 95% CI: 2.400-11.606, P<0.001), high P53 expression ( HR=5.950, 95% CI: 2.792-12.680, P<0.001), and high Ki67 expression ( HR=3.349, 95% CI: 1.554-7.221, P=0.002) were associated with poorer disease-free survival (DFS). Male ( HR=9.050, 95% CI: 1.113-73.586, P=0.039), smoking ( HR=8.428, 95% CI: 1.701-41.765, P=0.009), high histological grade ( HR=6.865, 95% CI: 1.756-26.834, P=0.006), high P53 expression ( HR=16.699, 95% CI: 3.369-82.761, P<0.001), and high Ki67 expression ( HR=7.558, 95% CI: 1.806-31.632, P=0.006) were associated with poorer overall survival. P53 high-expression was identified as an independent risk factor for both DFS ( HR=2.843, 95% CI: 1.192-6.778, P=0.018) and OS( HR=6.909, 95% CI: 1.202-39.720, P=0.030) in stage I INMA patients. The area under the time-dependent ROC curves for predicting 5-year overall survival after surgery were 0.738 for p53, 0.674 for Ki67, 0.638 for pTNM staging, and 0.587 for histological grade. Among these, p53 demonstrated the highest predictive efficacy. Conclusions:AI-assisted interpretation of P53 and Ki67 indices improves test result repeatability. With critical values of 62% and 20%, high P53 and Ki67 expression indicates poor prognosis, while high P53 expression is an independent risk factor for lower OS and DFS, serving as a reference for postoperative adjuvant therapy screening.

Objective Exploring the MAP(meta analytic predictive)methods for historical information borrowing for adaptive trials.Methods Taking the clinical trial of recurrent or metastatic head and neck squamous cell carcinoma as an example,the applicability of the MAP method in the adaptive trial was evaluated with different heterogeneity of historical control data and different degrees of data conflict.Results For the five applicable extreme protocol historical studies with a total of 253 subjects,the MAP prior converted to an effective sample size(ESS)of 19 cases,and the RMAP(robust MAP)prior converted to ESS of 17 cases.The RMAP method balanced the potential conflicts between historical data and current trial data better than the MAP method.With the increase of the heterogeneity among historical controls and the conflict between the prior and the current data,the type-I error of both the MAP method and the RMAP method were slightly inflated.When the current control data corresponded with the historical controls,the power of both the MAP prior and the RMAP prior decreased with the increase of heterogeneity.For the two-stage adaptive trial,borrowing information saved 30%-35% of ESS in control group.Conclusion The MAP method can be a valid and robust methodoiogical tool for the effective application of historical information borrowing for the adaptive design trials,which can help to optimize experimental design,cinserve resources,and assist for trial decision.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.