Ulcerative colitis （UC） is a refractory disease of the digestive system characterized by diverse etiologies， complex pathogenesis， a prolonged course， and frequent relapses. In recent years， the incidence of UC has been increasing annually， severely impairing patients' quality of life， posing a risk of malignant transformation that may threaten patients' lives， and resulting in a substantial medical burden. Traditional Chinese medicine （TCM） compound formulas， with their advantages of multi-component and multi-target actions， have become a new therapeutic option for UC. The NOD-like receptor pyrin domain-containing 3 （NLRP3） inflammasome is a core component of innate immunity， and its aberrant activation is closely associated with the onset and progression of UC， involving multiple processes such as inflammation and oxidative stress， and exhibiting crosstalk with pathways including nuclear factor-κB （NF-κB）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and thioredoxin-interacting protein （TXNIP）. At present， NLRP3 has become one of the most intensely studied hotspots in UC-related research. Although increasing studies have focused on the regulation of the NLRP3 inflammasome by TCM compound formulas for UC treatment， challenges remain due to the complex pathogenesis of UC and the compositional diversity of TCM， hindering the realization of precision therapy. In this context， by reviewing literature from the past decade， this paper summarizes the activation process of NLRP3 and its relationship with UC， and elucidates the roles and mechanisms by which TCM compound formulas regulate the NLRP3 inflammasome and related signaling pathways， with a view to providing a reference for further research into the pathogenesis of UC， TCM treatment strategies， and their mechanisms of action.

Ulcerative colitis （UC） is a refractory disease of the digestive system characterized by diverse etiologies， complex pathogenesis， a prolonged course， and frequent relapses. In recent years， the incidence of UC has been increasing annually， severely impairing patients' quality of life， posing a risk of malignant transformation that may threaten patients' lives， and resulting in a substantial medical burden. Traditional Chinese medicine （TCM） compound formulas， with their advantages of multi-component and multi-target actions， have become a new therapeutic option for UC. The NOD-like receptor pyrin domain-containing 3 （NLRP3） inflammasome is a core component of innate immunity， and its aberrant activation is closely associated with the onset and progression of UC， involving multiple processes such as inflammation and oxidative stress， and exhibiting crosstalk with pathways including nuclear factor-κB （NF-κB）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and thioredoxin-interacting protein （TXNIP）. At present， NLRP3 has become one of the most intensely studied hotspots in UC-related research. Although increasing studies have focused on the regulation of the NLRP3 inflammasome by TCM compound formulas for UC treatment， challenges remain due to the complex pathogenesis of UC and the compositional diversity of TCM， hindering the realization of precision therapy. In this context， by reviewing literature from the past decade， this paper summarizes the activation process of NLRP3 and its relationship with UC， and elucidates the roles and mechanisms by which TCM compound formulas regulate the NLRP3 inflammasome and related signaling pathways， with a view to providing a reference for further research into the pathogenesis of UC， TCM treatment strategies， and their mechanisms of action.

Objectives:To explore the correlation between angiography-derived microcirculatory resistance(AMR)and microvascular obstruction(MVO)extent,and AMR's predictive value for ventricular remodeling in patients with ST-segment elevation myocardial infarction(STEMI)post-primary percutaneous coronary intervention(PCI).Methods:This retrospective study included STEMI patients who underwent PCI at Beijing Anzhen Hospital from April 2019 to January 2023.Patients underwent acute and follow-up cardiac magnetic resonance(CMR)examinations 3-7 days and 3 months post-PCI.Ventricular remodeling was defined as a 20%or more increase in left ventricular end-diastolic volume at follow-up.Patients were divided into ventricular remodeling and non-ventricular remodeling groups.Baseline clinical characteristics,AMR values and CMR indices of both groups were compared.Pearson's correlation coefficient was used to explore the correlation between AMR and MVO extent on CMR.Logistic regression and receiver operating characteristic curve analysis were employed to evaluate the predictive performance of AMR for ventricular remodeling.Results:A total of 168 STEMI patients([56.4±11.4]years,139[82.7%]males)were included,with 49(29.2%)in the ventricular remodeling group and 119(70.8%)in the non-ventricular remodeling group.AMR was positively correlated with MVO extent on CMR(r=0.42,P<0.01).Compared to the non-ventricular remodeling group,patients in the ventricular remodeling group exhibited a higher AMR value(3.00[2.56,3.52]mmHg?s/cm vs.2.48[2.20,2.74]mmHg?s/cm,1 mmHg=0.133 kPa,P<0.01).Multivariate logistic analysis showed that AMR was independently associated with ventricular remodeling post-PCI in STEMI patients.For every 0.2 mmHg·s/cm increase in AMR,the risk for ventricular remodeling increased 45.1%(adjusted OR=1.451,95%CI:1.228-1.714,P<0.01).Area under the curve of AMR for predicting ventricular remodeling was 0.769.Conclusions:AMR is positively correlated with MVO extent and is an independent predictor for ventricular remodeling in STEMI patients post-PCI.

The global prevalence of diabetes among adults is increasing year by year,with diabetes mellitus type 2(T2DM)being the most common form.T2DM is a chronic disease characterized by insulin resistance and insufficient insulin secretion,often accompanied by disturbances in glucose,protein,and lipid metabolism.Impaired wound healing is one of the major complications of T2DM.Studies have shown that wound healing in T2DM patients are regulated by macrophages and are closely related to their phenotype,activity,and abundance.Macrophages of different phenotypes play distinct roles in various stages of T2DM wound healing:M1 macrophages are involved in the early inflammatory response and pathogen clearance,while M2 macrophages contribute to anti-inflammatory responses and wound repair during later stages.Dysregulation of macrophage phenotype switching affects wound inflammatory response,skin cell function,and extracellular matrix(ECM)synthesis,ultimately leading to impaired healing.Significant progress has been made in understanding the interactions between macrophage metabolic changes and phenotype switching,and this dynamic relationship might play a synergistic role in regulating the wound healing process in T2DM.This review summarizes the functional roles of macrophages in both normal and T2DM-associated wound healing,discusses alterations in glucose,lipid,and amino acid metabolism in macrophages under pathological conditions,and explores how these metabolic shifts regulate wound healing.Furthermore,it examines the therapeutic potential of targeting macrophage metabolism to improve wound healing outcomes.

Abstract Skin, the largest organ of the human body, serves as the primary barrier against environmental hazards. Skin aging is a complex process influenced by both intrinsic factors, such as endogenous physiological changes, and extrinsic factors, including environmental exposures, reflecting the internal health status of the body. During skin aging, various cell types exhibit diverse responses to aging-related stimulations. This paper systematically reviews the roles of cells in the pathogenesis of skin aging and explores potential therapeutic strategies for mitigating this process. Furthermore, based on the biological activities of cells during skin aging, we elucidate the interaction mechanisms among cells within the skin microenvironment.

Objective:To investigate whether changes in CT pulmonary angiography (CTPA) parameters before and after balloon pulmonary angioplasty (BPA) are correlated with treatment effects in patients with chronic thromboembolic pulmonary hypertension (CTEPH).Methods:A retrospective study was conducted, including patients with CTEPH who underwent BPA treatment at Beijing Anzhen Hospital from November 2021 to Febbruary 2024. Clinical data and CTPA parameters were analyzed before the initial BPA session and at least 6 months after the final BPA session. Clinical data included WHO functional class, 6-minute walk distance (6MWD), and plasma N-terminal pro-brain natriuretic peptide (NT-proBNP) levels. The CTPA parameters included the widest diameter of the pulmonary artery diameter (dPA), ascending aorta diameter (dAA), the widest transverse diameter of the right atrium (dRA), the widest short-axis diameter of the right ventricle (dRV), the widest short-axis diameter of the left ventricle (dLV), and the diameter of right ventricular free wall thickness(dRVW). Multiple linear regression was applied to identify variables associated with the decrease in mean pulmonary artery pressure (mPAP) among the CTPA parameters.Results:All CTEPH patients underwent a total of 115 BPA treatments. Postoperatively, the WHO functional class of the patients improved compared to preoperative levels ( χ2=5.01, P<0.001), 6MWD improved ( t=4.50, P<0.001), and NT-proBNP levels decreased ( Z=4.47, P<0.001). Hemodynamic parameters, including mPAP, pulmonary vascular resistance, cardiac output, and cardiac index, were significantly improved postoperatively (all P<0.001). CTPA-related parameters, including dPA, dRA, dRV, dRVW, dPA/dAA, dRV/dLV, and dRA/dPA, significantly decreased compared to preoperative values (all P<0.001). Multiple linear regression analysis showed that the decrease in dPA ( β=0.314, P=0.037) and dRA ( β=0.334, P=0.046) were significantly correlated with the improvement in mPAP. Conclusions:Exercise tolerance, hemodynamics, and CTPA parameters in patients with CTEPH significantly improved after BPA treatment. The decrease in dPA and dRA were significantly correlated with the improvement in mPAP, suggesting that CTPA is a potentially novel, objective, effective, and noninvasive method for evaluating the therapeutic efficacy of BPA.

The global prevalence of diabetes among adults is increasing year by year,with diabetes mellitus type 2(T2DM)being the most common form.T2DM is a chronic disease characterized by insulin resistance and insufficient insulin secretion,often accompanied by disturbances in glucose,protein,and lipid metabolism.Impaired wound healing is one of the major complications of T2DM.Studies have shown that wound healing in T2DM patients are regulated by macrophages and are closely related to their phenotype,activity,and abundance.Macrophages of different phenotypes play distinct roles in various stages of T2DM wound healing:M1 macrophages are involved in the early inflammatory response and pathogen clearance,while M2 macrophages contribute to anti-inflammatory responses and wound repair during later stages.Dysregulation of macrophage phenotype switching affects wound inflammatory response,skin cell function,and extracellular matrix(ECM)synthesis,ultimately leading to impaired healing.Significant progress has been made in understanding the interactions between macrophage metabolic changes and phenotype switching,and this dynamic relationship might play a synergistic role in regulating the wound healing process in T2DM.This review summarizes the functional roles of macrophages in both normal and T2DM-associated wound healing,discusses alterations in glucose,lipid,and amino acid metabolism in macrophages under pathological conditions,and explores how these metabolic shifts regulate wound healing.Furthermore,it examines the therapeutic potential of targeting macrophage metabolism to improve wound healing outcomes.

Objectives:To explore the correlation between angiography-derived microcirculatory resistance(AMR)and microvascular obstruction(MVO)extent,and AMR's predictive value for ventricular remodeling in patients with ST-segment elevation myocardial infarction(STEMI)post-primary percutaneous coronary intervention(PCI).Methods:This retrospective study included STEMI patients who underwent PCI at Beijing Anzhen Hospital from April 2019 to January 2023.Patients underwent acute and follow-up cardiac magnetic resonance(CMR)examinations 3-7 days and 3 months post-PCI.Ventricular remodeling was defined as a 20%or more increase in left ventricular end-diastolic volume at follow-up.Patients were divided into ventricular remodeling and non-ventricular remodeling groups.Baseline clinical characteristics,AMR values and CMR indices of both groups were compared.Pearson's correlation coefficient was used to explore the correlation between AMR and MVO extent on CMR.Logistic regression and receiver operating characteristic curve analysis were employed to evaluate the predictive performance of AMR for ventricular remodeling.Results:A total of 168 STEMI patients([56.4±11.4]years,139[82.7%]males)were included,with 49(29.2%)in the ventricular remodeling group and 119(70.8%)in the non-ventricular remodeling group.AMR was positively correlated with MVO extent on CMR(r=0.42,P<0.01).Compared to the non-ventricular remodeling group,patients in the ventricular remodeling group exhibited a higher AMR value(3.00[2.56,3.52]mmHg?s/cm vs.2.48[2.20,2.74]mmHg?s/cm,1 mmHg=0.133 kPa,P<0.01).Multivariate logistic analysis showed that AMR was independently associated with ventricular remodeling post-PCI in STEMI patients.For every 0.2 mmHg·s/cm increase in AMR,the risk for ventricular remodeling increased 45.1%(adjusted OR=1.451,95%CI:1.228-1.714,P<0.01).Area under the curve of AMR for predicting ventricular remodeling was 0.769.Conclusions:AMR is positively correlated with MVO extent and is an independent predictor for ventricular remodeling in STEMI patients post-PCI.

Objective:To investigate whether changes in CT pulmonary angiography (CTPA) parameters before and after balloon pulmonary angioplasty (BPA) are correlated with treatment effects in patients with chronic thromboembolic pulmonary hypertension (CTEPH).Methods:A retrospective study was conducted, including patients with CTEPH who underwent BPA treatment at Beijing Anzhen Hospital from November 2021 to Febbruary 2024. Clinical data and CTPA parameters were analyzed before the initial BPA session and at least 6 months after the final BPA session. Clinical data included WHO functional class, 6-minute walk distance (6MWD), and plasma N-terminal pro-brain natriuretic peptide (NT-proBNP) levels. The CTPA parameters included the widest diameter of the pulmonary artery diameter (dPA), ascending aorta diameter (dAA), the widest transverse diameter of the right atrium (dRA), the widest short-axis diameter of the right ventricle (dRV), the widest short-axis diameter of the left ventricle (dLV), and the diameter of right ventricular free wall thickness(dRVW). Multiple linear regression was applied to identify variables associated with the decrease in mean pulmonary artery pressure (mPAP) among the CTPA parameters.Results:All CTEPH patients underwent a total of 115 BPA treatments. Postoperatively, the WHO functional class of the patients improved compared to preoperative levels ( χ2=5.01, P<0.001), 6MWD improved ( t=4.50, P<0.001), and NT-proBNP levels decreased ( Z=4.47, P<0.001). Hemodynamic parameters, including mPAP, pulmonary vascular resistance, cardiac output, and cardiac index, were significantly improved postoperatively (all P<0.001). CTPA-related parameters, including dPA, dRA, dRV, dRVW, dPA/dAA, dRV/dLV, and dRA/dPA, significantly decreased compared to preoperative values (all P<0.001). Multiple linear regression analysis showed that the decrease in dPA ( β=0.314, P=0.037) and dRA ( β=0.334, P=0.046) were significantly correlated with the improvement in mPAP. Conclusions:Exercise tolerance, hemodynamics, and CTPA parameters in patients with CTEPH significantly improved after BPA treatment. The decrease in dPA and dRA were significantly correlated with the improvement in mPAP, suggesting that CTPA is a potentially novel, objective, effective, and noninvasive method for evaluating the therapeutic efficacy of BPA.

Objective:To explore the value of predicting new-onset heart failure events in patients with hypertrophic cardiomyopathy (HCM) using clinical and cardiac magnetic resonance (CMR) features based on machine learning algorithms.Methods:The study was a retrospective cohort study. Patients with a confirmed diagnosis of HCM who underwent CMR examinations at Beijing Anzhen Hospital from May 2017 to March 2021 were selected and randomly divided into the training set and the validation set in a ratio of 7∶3. Clinical data and CMR parameters (including conventional parameters and radiomics features) were collected. The endpoint events were heart failure hospitalization and heart failure death, with follow-up ending in January 2023. Features with high stability and P value<0.05 in univariate Cox regression analysis were selected. Subsequently, three machine learning algorithms—random forest, decision tree, and XGBoost—were used to build heart failure event prediction models in the training set. The model performance was then evaluated using the independent validation set, with the performance assessed based on the concordance index. Results:A total of 462 patients were included, with a median age of 51 (39, 62) years, of whom 332 (71.9%) were male. There were 323 patients in the training set and 139 in the validation set. The median follow-up time was 42 (28, 52) months. A total of 44 patients (9.5% (44/462)) experienced endpoint events (8 cases of heart failure death and 36 cases of heart failure hospitalization), with 31 events in the training set and 13 in the validation set. Univariate Cox regression analysis identified 39 radiomic features, 4 conventional CMR parameters (left ventricular end-diastolic volume index, left ventricular end-systolic volume index, left ventricular ejection fraction, and late gadolinium enhancement ratio), and 1 clinical feature (history of non-sustained ventricular tachycardia) that could be included in the machine learning model. In the prediction models built with the training set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.966 (95% CI 0.813-0.995), 0.956 (95% CI 0.796-0.992), and 0.973 (95% CI 0.823-0.996), respectively. In the validation set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.854 (95% CI 0.557-0.964), 0.706 (95% CI 0.399-0.896), and 0.703 (95%CI 0.408-0.890), respectively. Conclusion:Integrating clinical and CMR features of HCM patients through machine learning aids in predicting heart failure events, with the random forest model showing superior performance.