Objective To investigate the cognition level and behavior compliance of blood pressure measurement in community residents and analyze the related influencing factors, and to provide evidence for community health management and blood pressure control. Methods A questionnaire survey was conducted to investigate 4470 community patients. Questionnaires included basic personal information，blood pressure measurement cognition, and blood pressure measurement behavior related issues. SPSS 19.0 was used to analyze the basic information, blood pressure measurement cognition, and pressure measurement behavior of the survey subjects. Logistic regression was performed to analyze relevant factors affecting blood pressure measurement cognition and behavior compliance. Results The overall cognitive compliance rate for blood pressure measurement among the visiting community patients was 31.52%. Age, education level, and chronic disease had a statistically significant impact on the cognitive knowledge (P<0.05). The overall behavior compliance rate of blood pressure measurement among the community patients was 23.69%. The cognition, age and education had a statistically significant impact on the overall behavior compliance rate of blood pressure measurement (P<0.05). Conclusion The cognitive level and standardized behavior of blood pressure measurement of community patients need to be improved. More attention should be paid to the elderly, low education level residents and community residents without chronic diseases, to promote community residents to form correct and standardized behavior of blood pressure measurement through health education.

ObjectiveTo observe the inhibitory effect of the Weiliuan mixture （WLAHJ） on the subcutaneous xenograft tumor of MKN-74 gastric cancer cells， and explore the potential anti-gastric cancer mechanism of WLAHJ by using transcriptomic sequencing technology to reveal related genes and pathways. Methods30 Balb/c nude mice were randomly divided into model， low-， medium-， and high-dose（15，30，45 g·kg^-1） WLAHJ and 5-FU （0.025 g·kg^-1） groups to build a subcutaneous xenograft tumor model with MKN-74 human gastric cancer cells. After modeling，each group was continuously treated with the corresponding drugs for 28 days. During the treatment period， the body weight and tumor size of the mice were observed and recorded every 2 days. At the end of the treatment， the mice were sacrificed， and required samples were collected to calculate the tumor inhibition rate of WLAHJ on the subcutaneous xenograft tumor. High-throughput transcriptomic sequencing （RNA-seq） technology was used to analyze the differentially expressed genes in the subcutaneous tumor tissues of the model group and the medium-dose WLAHJ group， thus exploring the potential mechanism of WLAHJ in gastric cancer intervention. Immunofluorescence experiments were conducted to detect the protein expression levels of glutathione peroxidase 4 （GPX4）， solute carrier family 7 member 11 （SLC7A11）， transferrin receptor protein-1 （TFR-1）， and acyl-CoA synthetase long-chain family member 4 （ACSL4） in subcutaneous xenograft tumors of each group. Cell counting kit-8（CCK-8） and colony formation assays were used to detect the viability and anti-proliferative ability of human gastric cancer AGS and MKN-74 cells at different concentrations of WLAHJ. Kits were used to detect the levels of Fe²⁺， reactive oxygen species （ROS）， malondialdehyde （MDA）， and superoxide dismutase （SOD） activity in cells. Western blot was used to detect the expression levels of GPX4， SLC7A11， TRF-1， ACSL4， spermidine/spermine N1-acetyltransferase 1 （SAT1）， arachidonic acid 15-lipoxygenase （ALOX15）， and key proteins in the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway. ResultsThe mechanism of WLAHJ in gastric cancer intervention may be related to ferroptosis and the PI3K/Akt /mTOR signaling pathway. The growth of subcutaneous xenograft tumors in nude mice of the WLAHJ and 5-FU groups（P<0.05，P<0.01）， GPX4， and SLC7A11 dropped significantly（P<0.01）， while TFR-1， ACSL4， SAT1， and ALOX15（P<0.05，P<0.01）increased significantly compared with those in the model group. The levels of ROS， Fe²⁺， and MDA increased in the WLAHJ and 5-FU groups and the proliferation of gastric cancer cells， SOD activity， the ratios of phosphorybation （p）-mTOR/mTOR， p-PI3K/PI3K， and p-Akt/Akt protein expressions（P<0.05，P<0.01）decreased compared with those in the blank group. ConclusionThe mechanism of WLAHJ in treating gastric cancer may be related to the regulation of the PI3K/ Akt /mTOR signaling pathway to intervene in ferroptosis.

The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

ObjectiveTo establish a subcutaneous xenograft model of gastric cancer in nude mice and to identify differentially expressed genes （DEGs） affected by Jianpi Yangzheng Xiaozheng formula （JPYZXZ） in diffuse gastric cancer （DGC） using transcriptome sequencing. The study aims to identify potential key prognostic factors and preliminarily elucidate the therapeutic mechanism of JPYZXZ. MethodsSubcutaneous tumor tissues were collected from nude mice treated with JPYZXZ （6 g·kg^-1）and from the untreated traditional Chinese medicine control group. High-throughput RNA sequencing was performed to extract and analyze total RNA and identify DEGs， followed by functional enrichment analysis. DEGs were intersected with cancer-associated fibroblast （CAF）-related genes identified from single-cell RNA sequencing （scRNA-seq） data. A Cox proportional hazards regression model （Cox model） was constructed to identify potential key targets， among which DAZ interacting protein 1 （DZIP1） was selected. The role of DZIP1 in DGC progression was further verified through in vitro and in vivo experiments. ResultsTranscriptome sequencing revealed that DEGs regulated by JPYZXZ were significantly enriched in biological processes such as focal adhesion， phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway， and vascular development （P<0.05）. Intersection analysis with CAF marker genes identified ten potential common target genes. Cox regression analysis combined with the Cancer Genome Atlas （TCGA） dataset for stomach adenocarcinoma （STAD） confirmed that DZIP1 is an independent prognostic factor significantly associated with poor outcomes. Transcriptome and immunohistochemical analyses showed that DZIP1 expression was significantly higher in gastric cancer tissues than in adjacent tissues， while JPYZXZ treatment downregulated DZIP1 expression in a dose-dependent manner. Clinical data further demonstrated that serum DZIP1 levels in patients treated with JPYZXZ were significantly lower than those in the control group. ConclusionJPYZXZ may inhibit the malignant progression of DGC by downregulating DZIP1 expression， thereby suppressing CAF activation and epithelial-mesenchymal transition （EMT）. These findings provide experimental evidence and identify DZIP1 as a potential therapeutic target in DGC treatment.

ObjectiveTo establish a subcutaneous xenograft model of gastric cancer in nude mice and to identify differentially expressed genes （DEGs） affected by Jianpi Yangzheng Xiaozheng formula （JPYZXZ） in diffuse gastric cancer （DGC） using transcriptome sequencing. The study aims to identify potential key prognostic factors and preliminarily elucidate the therapeutic mechanism of JPYZXZ. MethodsSubcutaneous tumor tissues were collected from nude mice treated with JPYZXZ （6 g·kg^-1）and from the untreated traditional Chinese medicine control group. High-throughput RNA sequencing was performed to extract and analyze total RNA and identify DEGs， followed by functional enrichment analysis. DEGs were intersected with cancer-associated fibroblast （CAF）-related genes identified from single-cell RNA sequencing （scRNA-seq） data. A Cox proportional hazards regression model （Cox model） was constructed to identify potential key targets， among which DAZ interacting protein 1 （DZIP1） was selected. The role of DZIP1 in DGC progression was further verified through in vitro and in vivo experiments. ResultsTranscriptome sequencing revealed that DEGs regulated by JPYZXZ were significantly enriched in biological processes such as focal adhesion， phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway， and vascular development （P<0.05）. Intersection analysis with CAF marker genes identified ten potential common target genes. Cox regression analysis combined with the Cancer Genome Atlas （TCGA） dataset for stomach adenocarcinoma （STAD） confirmed that DZIP1 is an independent prognostic factor significantly associated with poor outcomes. Transcriptome and immunohistochemical analyses showed that DZIP1 expression was significantly higher in gastric cancer tissues than in adjacent tissues， while JPYZXZ treatment downregulated DZIP1 expression in a dose-dependent manner. Clinical data further demonstrated that serum DZIP1 levels in patients treated with JPYZXZ were significantly lower than those in the control group. ConclusionJPYZXZ may inhibit the malignant progression of DGC by downregulating DZIP1 expression， thereby suppressing CAF activation and epithelial-mesenchymal transition （EMT）. These findings provide experimental evidence and identify DZIP1 as a potential therapeutic target in DGC treatment.

Objective:To study and screen the differential expression of inflammatory proteins in diabetes skin ulcers and common skin ulcers, so as to provide experimental basis for further research on anti-inflammatory and healing drug targets of diabetes skin ulcers.Methods:The tissues of 11 patients with diabetes skin ulcer, 12 patients with common skin ulcer and 11 patients with normal skin were collected from the First Hospital of Hunan University of Chinese Medicine. The levels of inflammatory protein Toll like receptor 4 (TLR4), nuclear factor κB (NF-κB), pro-inflammatory factor interferon -γ (IFN -γ), tumor necrosis factor - α (TNF -α), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-1β (IL-1β), macrophage chemotactic protein-1 (MCP-1), anti-inflammatory factors epidermal growth factor (EGF), interleukin-4 (IL-4), and interleukin-10 (IL-10) were detected in three groups of tissues using enzyme-linked immunosorbent assay (ELISA).Results:Compared with normal tissues, the concentrations of TLR4, NF-κB, IFN -γ, TNF -α, IL-1β, IL-6, IL-8, MCP-1 and EGF in common ulcer skin tissues and diabetes ulcer tissues were higher, and the concentrations of IL-10 were lower, with statistically significant differences (all P<0.05); Compared with the normal tissue, the concentration of IL-4 in diabetes ulcer tissue was lower, the difference was statistically significant ( P<0.05); Compared with ordinary ulcer skin tissue, the concentrations of TLR4, NF-κB and MCP-1 in diabetes ulcer tissue were higher, and the concentrations of IL-4 were lower, with statistically significant differences (all P<0.05). Conclusions:The skin ulcer in diabetes patients will have inflammatory reaction, and high glucose promotes the inflammatory reaction of skin ulcer, which may be related to the abnormal expression of TLR4, NF-κB, MCP-1 and IL-4. TLR4/NF-κB signal pathway and inflammatory factors MCP-1 and IL-4 may be the target of the inflammation regulation of diabetes skin ulcer.

Objective:To investigate the effect of astragaloside IV (AS-IV) regulating the signal axis of stromal cell-derived factor-1α (SDF-1α)/CXC chemokine receptor 4 (CXCR4) on the mobilization of bone marrow endothelial progenitor cells (EPCs) to peripheral blood in diabetes skin ulcer (DSU) rats.Methods:Twenty four SPF grade male Sprague Dawley (SD) rats were selected to make the model of type 2 diabetes rats by intraperitoneal injection of 30 mg/kg 1% (plastid ratio) streptozotocin, and then round full-thickness skin with a diameter of 2 cm was cut on both sides of the waist and back to make the skin ulcer model of diabetes rats. After that, they were randomly divided into AS-IV group (50 mg/kg AS-IV), blocker group (50 mg/kg AS-IV+ 5 mg/kg AMD3100) and model group. At the same time, a blank group ( n=8) was set up, The drug was administered via intraperitoneal injection, and the model group and blank group were treated with 0.9% NaCl of equal volume. On the 10th day, peripheral blood, femoral bone marrow, and wound neovascularization tissues of rats were collected. The number of EPCs in peripheral blood of each group of rats was measured by flow cytometry, and the protein expression of SDF-1α and CXCR4 in peripheral blood, femoral bone marrow, and wound neovascularization tissues of rats was detected by enzyme-linked immunosorbent assay (ELISA); At the same time, the wound healing rates of each group were tested. Results:On the 10th and 21st day after modeling, the wound healing rate of each group of rats was compared. The blank group healed the fastest, while the model group healed the slowest. The AS-IV group had better healing than the model group and the blocker group, and the difference was statistically significant (all P<0.05). On the 10th day after modeling, the positive rates of peripheral blood EPCs in the white group, AS-IV group, and blocker group were significantly higher than those in the model group (all P<0.05), while the positive rates of peripheral blood EPCs in the blocker group were significantly lower than those in the AS-IV group (all P<0.05). On the 10th day after modeling, the protein expression of SDF-1α and CXCR4 in the wound, serum, and bone marrow of the model group was the lowest, while the protein expression in the blank group was the highest (all P<0.05). The protein expression of SDF-1α and CXCR4 in the wound, serum, bone marrow of the AS-IV group was significantly higher than that of the blocker group and model group, and the difference was statistically significant (all P<0.05). Conclusions:Astragaloside IV can promote the mobilization and migration of endothelial progenitor cells from bone marrow to peripheral blood in diabetes ulcer rats by regulating SDF-1α/CXCR4 signal axis, and can participate in angiogenesis of diabetes ulcer wounds as seed cells to promote the healing of diabetes skin ulcers.