Objective To explore the visiting behavior and health management strategy of patients with cardiovascular disease (CVD) and the industry management strategies under the family doctor contract service model. Methods A total of 351 patients with CVD from January 2022 to January 2025 were included in the case investigation by random sampling. Taking the number of visits in community health service institutions/total number of visits ≥90% as high compliance, the influencing factors of the visiting behavior of CVD patients were analyzed. Results Finally, 344 valid questionnaires were collected, with an effective recovery rate of 98.01%. The study subjects were categorized into high compliance group (271 cases) and low compliance group (73 cases). The scores of policy cognition understanding, institutional trust and medical service understanding in the high compliance group were higher compared with those in the low compliance group (P<0.05). There was no significant difference in the understanding of medical expenses between the two groups (P>0.05). Multivariate logistic regression model analysis revealed that CVD duration [OR (95% CI): 1.72 (1.21-2.44)], policy cognition understanding [OR (95% CI): 2.16 (1.20-3.89)] and institutional trust [OR (95% CI): 1.88 (1.08-3.25)] were independently associated with medical treatment behavior in CVD patients (P<0.05). Conclusion Enhancing the policy cognition understanding and institutional trust of CVD patients on family doctor contract service can promote patients to seek medical treatment and promote the high-quality development of family doctor contract service.

Lung cancer remains one of the leading causes of cancer-related morbidity and mortality worldwide, and its treatment continues to face major challenges such as therapeutic resistance and tumor recurrence. Pyroptosis, a newly characterized form of programmed cell death, induces tumor cell death through gasdermin-mediated membrane pore formation and is accompanied by the release of inflammatory mediators, thereby playing complex roles in lung cancer initiation, progression, and modulation of the tumor microenvironment. Active components and herbal formulas derived from traditional Chinese medicine can modulate pyroptosis-related signaling pathways through multi-target mechanisms, showing potential advantages in inducing lung cancer cell death, inhibiting proliferation and migration, and reversing chemoresistance. This review systematically summarizes relevant studies from domestic and international sources, focusing on the molecular mechanisms of pyroptosis, its roles in lung cancer development and tumor microenvironment remodeling, and the current research progress on traditional Chinese medicine-based interventions targeting pyroptosis, with the aim of providing references for the prevention and treatment of lung cancer using traditional Chinese medicine.

ObjectiveTo compare female C57BL/6J and BALB/c mice models of ulcerative colitis (UC) induced by dextran sulfate sodium salt (DSS), providing a reference for selecting female animal models in studies of innovative drugs for UC treatment. MethodsA total of 48 female mice aged 6–8 weeks, including 24 C57BL/6J and 24 BALB/c mice, were divided into four groups: control group, UC-3d group (2.5% DSS drinking for 3 days), UC-7d group (2.5% DSS drinking for 7 days), and UC-withdrawal group (2.5% DSS drinking for 7 days followed by 3 days of pure water replacement), with 6 mice in each group. Body weight, fecal occult blood, and stool characteristics were recorded daily, and disease activity index (DAI) scores were calculated. At the end of DSS induction, mice were gavaged with fluorescein isothiocyanate (FITC)-labeled dextran solution before tissue collection. Four hours later, under deep anesthesia induced by inhalation of 4% isoflurane, blood samples were collected from the retro-orbital venous plexus, and euthanasia was performed by cervical dislocation. The colon was then separated immediately, and its length from the anus to the ileocecal junction was measured. Colon tissues were fixed, embedded, and sectioned, and they were evaluated using hematoxylin-eosin (HE) staining and alcian blue-periodic acid-Schiff (AB-PAS) staining to comprehensively assess the degree of colonic inflammation. The spleen was also collected and weighed, and the spleen coefficient was calculated. Serum FITC fluorescence intensity and D-lactic acid concentration were measured to evaluate intestinal permeability and barrier injury. The grooming duration, the number of buried marbles, the time spent in the center of the open field, and the total distance traveled were measured to evaluate anxiety/depression-like behaviors in mice. ResultsFecal occult blood appeared in both C57BL/6J and BALB/c mice after 3 days of ad libitum access to DSS. Compared with the control group, there was no significant change in the weight loss rate of female BALB/c mice in the UC-7d and UC-withdrawal groups (P > 0.05), but the DAI score increased (P < 0.01). Conversely, both the weight loss rate and DAI score increased for female C57BL/6J mice in the UC-7d and UC-withdrawal groups (P < 0.01). In female C57BL/6J mice, both the UC-7d and UC-withdrawal groups had higher spleen coefficients than the control group (P < 0.05). Additionally, in these groups, colon length was significantly reduced (P < 0.01), FITC fluorescence intensity in serum was markedly increased (P < 0.01), obvious inflammatory reaction areas appeared in the colon, and the goblet cells and acidic mucus layer were damaged. In contrast, in female BALB/c mice, no significant differences were observed in colon length, serum FITC fluorescence intensity, or D-lactic acid concentration between the UC-7d and UC-withdrawal groups compared with the control group (P > 0.05). Only a few inflammatory cells and damaged goblet cells were observed in the colonic mucosal layer, and no other obvious pathological changes were detected. In addition, female C57BL/6J mice in the UC-7d group showed a significantly reduced total distance in the open field and fewer buried marbles (P < 0.05), indicating depression-like behavior, as well as prolonged grooming duration (P < 0.05), indicating anxiety-like behavior. ConclusionFemale BALB/c mice are not sensitive to 2.5% DSS and do not show typical colonic pathological changes of UC. In contrast, ad libitum access to 2.5% DSS for 7 days successfully induces typical UC pathological symptoms and colonic pathological changes in female C57BL/6J mice. These changes persist for 3 days after DSS withdrawal, and the mice also exhibit symptoms of anxiety/depression. The results suggest that this model can be used for research on the pathogenesis and therapeutic drugs of UC.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

BackgroundCurrent studies on the relationship between depressive symptoms and the risks of stroke and all-cause mortality mostly focus on the elderly population or high-risk groups with chronic diseases. The long-term impact of depressive symptoms in young and middle-aged people on the risks of stroke and all-cause mortality still lacks systematic assessment， and the relevant evidence is insufficient. ObjectiveTo explore the association between depressive symptoms and the risks of stroke and all-cause mortality in young and middle-aged adults， thereby expanding the risk evidence in this age group and providing epidemiological basis for early identification of high-risk individuals and the development of targeted intervention strategies. MethodsBased on data from the National Health and Nutrition Examination Survey （NHANES） database （2009–2018）， a total of 14 947 young and middle-aged respondents aged 18 to 64 were included as the research subjects. Logistic regression and restricted cubic spline （RCS） models were employed to examine the association between depressive symptoms and stroke. Cox proportional hazards model， RCS model， and Kaplan-Meier （K-M） survival curves were used to clarify the relationship between depressive symptoms and all-cause mortality risk. To verify the robustness of main findings， sensitivity analysis was conducted stratified by gender， hypertension， diabetes， hyperlipidemia， body mass index （BMI）， and age. ResultsLogistic regression analysis revealed that compared with the non-depressed group， the risk of stroke in the mild depression group increased by 53.50% （OR=1.535， 95% CI： 1.147–2.053）， while the moderate-to-severe depression group showed the highest risk with a 132.90% increase （OR=2.329， 95% CI： 1.733–3.129）. RCS analysis indicated an approximately linear dose-response relationship between PHQ-9 score and the risk of stroke （P_{for non-linearity}=0.089）， with stroke risk increasing as PHQ-9 scores rose. As the PHQ-9 score increased， the risk of stroke also showed an upward trend. Cox regression analysis demonstrated that compared with the non-depressed group， the risk of all-cause mortality in the mild depression group increased by 48.80% （HR=1.488， 95% CI： 1.164–1.902）， and the moderate-to-severe depression group had a 70.60% increased risk （HR=1.706， 95% CI： 1.310–2.221）. RCS analysis showed a linear dose-response relationship between PHQ-9 scores and all-cause mortality risk （P_{for non-linearity}=0.440）. K-M curves indicated that as the severity of depressive symptoms increases， the risk of all-cause mortality gradually rises （P<0.05）. Sensitivity analysis confirmed that the associations between depression symptoms and risks of stroke and all-cause mortality were not modified by gender， hypertension， diabetes， hyperlipidemia， BMI， or age， demonstrating robust findings. ConclusionAmong the young and middle-aged population， both mild and moderate-to-severe depression were associated with increased risks of stroke and all-cause mortality， with the moderate-to-severe depression group showed more pronounced risk elevations. A positive dose-response relationship was observed between depressive symptoms and these risks.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Based on the epidermal growth factor receptor(EGFR)/mitogen-activated protein kinase(MAPK) signaling pathway-mediated cell proliferation, this study explores the effect of cisplatin combined with Guiqi Yiyuan Ointment on Lewis lung cancer-bearing mice. A total of 60 male C57BL/6 mice were randomly divided into a blank group with 10 mice and a modeling group with 50 mice. After modeling, they were randomly divided into the model group, cisplatin group, and low-, medium-, and high-dose groups of cisplatin combined with Guiqi Yiyuan Ointment, with 10 mice in each group. After 14 days of medication, the general condition of the mice was observed; body weight was measured, and organ index and tumor inhibition rate were calculated. Hematoxylin-eosin(HE) staining was used to observe the pathological morphology changes in tumor tissue. Immunohistochemistry was used to detect the positive rate of Ki-67 antigen(Ki-67) and proliferating cell nuclear antigen(PCNA) in tumor tissue. Western blot and real time-quantitative polymerase chain reaction(qPCR) were used to detect the expression of related proteins and mRNA in tumor tissue. Flow cytometry was used to detect the cell cycle of tumor cells in tumor tissue. The results showed that compared with that in the blank group, the general condition of mice in the model group deteriorated; the body weight, as well as thymus and spleen index of mice in the model group decreased after 14 days of medication. Compared with that in the model group, the general condition of mice in the cisplatin group deteriorated, while the condition of mice in the combined groups improved; the body weight, as well as thymus and spleen index of mice in the cisplatin group decreased, while the three indicators in the combined groups increased; the tumor weight of each medication group decreased, and the tumor inhibition rate increased; there were varying degrees of necrosis in tumor cells of each medication group, and the tightness of tumor cells, the increase in the number of cell nuclei and chromatin, and mitosis all decreased. The positive rate of Ki-67 and PCNA, as well as the protein expression and ratio of p-EGFR/EGFR, rat sarcoma viral oncogene homolog(Ras), phosphorylated Raf-1 protein kinase(p-Raf-1)/Raf-1, phosphorylated mitogen-activated protein kinase kinase(p-MEK)/MEK, phosphorylated extracellular signal-regulated kinase(p-ERK)/ERK and the mRNA expression of EGFR, Ras, Raf-1, MEK, and ERK all decreased. The proportion of tumor cells in the G_0/G_1 phase of each medication group increased, and that in the S phase decreased. In addition, there was no significant difference in the G_2/M phase. Compared with that of the cisplatin group, the tumor weight of the combined groups decreased, and the tumor inhibition rate increased. The necrosis and mitosis of tumor cells in the combined groups were more pronounced; the positive rate of Ki-67 and PCNA, the protein expression and ratio of p-EGFR/EGFR, Ras, p-Raf-1/Raf-1, p-MEK/MEK, and p-ERK/ERK, as well as the mRNA expression of EGFR, Ras, Raf-1, MEK, and ERK in the combined groups all decreased. The proportion of tumor cells in the G_0/G_1 phase of the combined medium-and high-dose groups increased, and that in the S phase decreased. There was no significant difference in the proportion of tumor cells of the combined groups in the G_2/M phase. This indicates that the combination of cisplatin and Guiqi Yiyuan Ointment can enhance the anti-tumor effect of cisplatin on tumor-bearing mice, and the mechanism may be associated with the inhibition of the EGFR/MAPK pathway, which accelerates the arrest of tumor cells in the G_0/G_1 phase, thereby inhibiting the proliferation of tumor cells. At the same time, the study also indicates that Guiqi Yiyuan Ointment may reduce the damage of tumors to mice and the toxic side effects brought by cisplatin chemotherapy.
Animals ; Male ; Carcinoma, Lewis Lung/metabolism* ; Drugs, Chinese Herbal/administration & dosage* ; ErbB Receptors/genetics* ; Mice ; Cisplatin/administration & dosage* ; Mice, Inbred C57BL ; Cell Proliferation/drug effects* ; Ointments/administration & dosage* ; MAP Kinase Signaling System/drug effects* ; Humans ; Antineoplastic Agents/administration & dosage* ; Lung Neoplasms/metabolism*

Buyang Huanwu Decoction(BYHWD), as one of the classic formulas in traditional Chinese medicine(TCM) for the treatment of cerebral ischemic stroke(CIS), has demonstrated definite effects in clinical practice. However, the material basis and mechanism of treatment have not been systematically elucidated. This study employed network pharmacology and molecular docking to analyze the potential targets and mechanisms of blood-and brain-penetrating active components of BYHWD in reducing cell apoptosis in CIS. Cell experiments were then carried out to validate the prediction results. In the experiments, five active components including hydroxysafflor yellow A( HSYA), tetramethylpyrazine( TMP), astragaloside Ⅳ( AS-Ⅳ), amygdalin( AMY), and paeoniflorin(PF) were selected to explore the pharmacological effects of BYHWD. HT22 cells were treated with BYHWD, and the cell counting kit-8(CCK-8) method was employed to examine the toxic and side effects of BYHWD. A cell model of oxygen-glucose deprivation/reoxygenation( OGD/R) was constructed, with apoptosis and pyroptosis as the main screening indicators. The levels of lactate dehydrogenase(LDH) and glutathione(GSH) were measured to assess the cell membrane integrity. Flow cytometry was employed to detect apoptosis, and the activities of caspase-3 and caspase-1 were measured to clarify the status of apoptosis and pyroptosis. ELISA was employed to determine the levels of interleukin(IL)-1β and IL-18 to confirm pyroptosis. HSYA and AMY were identified in this study as the active components regulating apoptosis and pyroptosis. TUNEL was employed to detect the apoptosis rate, and Western blot was employed to determine the expression levels of apoptosis-related proteins B-cell lymphoma-2(Bcl-2), Bcl-2-associated X protein(Bax), and caspase-3, which confirmed that the anti-apoptotic effect of the combined component group was superior to that of the single component groups. The molecular docking results revealed strong binding affinity of HSYA and AMY with SDF-1α and CXCR4.AMD3100, a selective antagonist of CXCR4, was then used for intervention. The results of Western blot showed alterations in the expression levels of apoptosis-associated proteins, SDF-1α, and CXCR4. In conclusion, HSYA and AMY influence cellular apoptosis by modulating the SDF-1α/CXCR4 signaling cascade.
Drugs, Chinese Herbal/chemistry* ; Apoptosis/drug effects* ; Animals ; Neurons/cytology* ; Mice ; Molecular Docking Simulation ; Cell Line ; Glucose/metabolism* ; Humans ; Neuroprotective Agents/pharmacology*

To investigate the effects and mechanisms of Yougui Pills(YGP) on oxidative damage induced by hydrogen peroxide(H_2O_2) in human ovarian granulosa cells(KGN). The components in serum with low-and high-doses of YGP were analyzed and compared through ultra-high performance liquid chromatography-quadrupole electrostatic field orbitrap mass spectrometry(UHPLC-QEMS), and selected the serum containing YGP high-dose group to follow-up experiments. To stimulated KGN with 200 μmol·L~(-1) H_2O_2to establish an oxidative damage model, which was divided into normal group, model group, low-, medium-, and high-dose of YGP groups, and the efficacy was further verified on the basis of silencing or overexpressing serine protease inhibitor(Serpina3k), further validating the efficacy based on the silencing or overexpression of Serpina3k. TUNEL staining was used to detect cell apoptosis,enzyme-linked immunosorbent assay(ELISA) was employed to measure the secretion levels of estradiol(E_2) and 17β-E_2 in KGN, and Western blot was utilized to assess the expression of Serpina3k and proteins related to the Keap1/Nrf2 signaling pathway. The results show that compared to the model group, each dose group of YGP not only significantly reduces granulocyte apoptosis and upregulates the secretion levels of E_2 and 17β-E_2, but also significantly upregulates Serpina3k and Nrf2 pathway. Further research has found that overexpression of Serpina3k not only enhances the therapeutic effect of YGP but also increases the expression of Nrf2 and inhibits the expression of Keap1. Conversely, interfering with Serpina3k partially reverses the therapeutic effect of YGP, while also partially. The results indicate that the mechanism by which YGP improves oxidative stress in KGN may be related to its upregulation of Serpina3k expression, which affects the conduction of the Keap1/Nrf2 signaling pathway. This study reveals the mechanism by which YGP protects granular cells, providing a certain theoretical basis for its clinical application.
NF-E2-Related Factor 2/genetics* ; Kelch-Like ECH-Associated Protein 1/genetics* ; Humans ; Female ; Signal Transduction/drug effects* ; Oxidative Stress/drug effects* ; Granulosa Cells/cytology* ; Drugs, Chinese Herbal/pharmacology* ; Apoptosis/drug effects* ; Serpins/genetics*