ObjectiveTo observe the effect of M1 bone marrow-derived macrophages （M1-BMDM） with Wnt5a knockdown on liver fibrosis and regeneration in a rat model of liver cirrhosis， and to investigate its gain-of-function effect compared with unmodified M1-BMDM. MethodsPrimary bone marrow-derived macrophages were isolated from rats and were polarized to M1 phenotype to construct M1-BMDM^Wnt5a-KD cells. A rat model of liver cirrhosis induced by CCl₄/2-AAF was established， and at the end of week 8， rats were randomly divided into model group， M1-BMDM group， M1-BMDM Wnt5a-knockdown empty vector group （M1-BMDM^KD-EV group）， and M1-BMDM Wnt5a-knockdown group （M1-BMDM^Wnt5a-KD group）， with 6 rats in each group. On the first day of week 9， the rats in each group were given a single injection of the corresponding cells via the caudal vein， along with an intraperitoneal injection of a CCR2 inhibitor. Six rats without any treatment were used as normal control group. Samples were collected at the end of week 12 to assess liver histopathology， serum liver function parameters， hepatic stellate cell activation， and the expression levels of mature hepatocyte markers. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the model group， all cell treatment groups had significant alleviation of liver inflammatory response and significant reductions in the activities of alanine aminotransferase and aspartate aminotransferase （AST） in serum （all P<0.01）， and the M1-BMDM^Wnt5a-KD group had a significantly lower serum level of AST than the M1-BMDM group （P<0.05）. The semi-quantitative analysis based on immunohistochemical staining showed that compared with the model group， all cell treatment groups had a significant reduction in the percentage of CD68-positive area （all P<0.05）， and compared with the M1-BMDM^KD-EV group， the M1-BMDM^Wnt5a-KD group had a significant reduction in the percentage of CD68-positive area and a significant increase in the percentage of CD163-positive area （both P<0.05）. Compared with the model group， all cell treatment groups had significant reductions in the mRNA expression levels of CD68 and tumor necrosis factor-α （all P<0.05） and the protein expression level of CD68 （all P<0.01）； compared with the M1-BMDM^KD-EV group， the M1-BMDM^Wnt5a-KD group had significant increases in the protein and mRNA expression levels of CD163 （both P<0.05）， significant reductions in the protein and mRNA expression levels of CD68 （both P<0.05）， and a significant reduction in the protein expression level of tumor necrosis factor-α （P<0.01）. Sirius Red collagen staining and alpha-smooth muscle actin （α-SMA） immunohistochemical staining showed that compared with the model group， all cell treatment groups had significant alleviation of liver collagen deposition and α-SMA-positive area， with the most significant changes in the M1-BMDM^Wnt5a-KD group， and compared with the M1-BMDM^KD-EV group， the M1-BMDM^Wnt5a-KD group had significantly smaller Sirius Red-positive area and α-SMA-positive area and a significantly lower content of hydroxyproline in liver tissue （all P<0.05）. Compared with the M1-BMDM^KD-EV group， the M1-BMDM^Wnt5a-KD group had significant reductions in the protein and mRNA expression levels of α-SMA and the mRNA expression level of COL-I and TGF-β （all P<0.05）. Compared with the model group， all cell treatment groups had a significant increase in the protein expression level of HNF-4α in liver tissue （all P<0.05）， and the M1-BMDM^Wnt5a-KD group had significantly higher protein and mRNA expression levels of HNF-4α and hepatocyte specific antigen than the M1-BMDM^KD-EV group （both P<0.05）. The M1-BMDM^Wnt5a-KD group had a significantly higher serum level of albumin than the M1-BMDM^KD-EV group （P<0.01）. Immunofluorescence co-staining showed that compared with the model group， all cell treatment groups had a significant increase in the number of cells stained positive for HNF and HNF-4α and Ki67 （all P<0.01）， and the M1-BMDM^Wnt5a-KD group had a significantly higher number of such cells than the M1-BMDM^KD-EV group （P<0.05）. ConclusionInhibition of Wnt5a expression enhances the therapeutic effect of M1-BMDM on rats with liver cirrhosis induced by CCl₄/2-AAF， which provides new ideas for enhancing the anti-cirrhotic effect of M1-BMDM through genetic modification.

ObjectiveTo investigate the differential expression of integrin alpha-6（ITGA6） in abdominal wall endometriosis （AWE） tissues and its molecular mechanisms in regulating AWE. Methods36 AWE lesions were designated as the experimental group， while 36 cases of normal endometrial tissues served as the controls. Differential expression of ITGA6 between the two groups was assessed through immunohistochemical （IHC） staining. Human ITGA6 gene-specific interference sequences were designed， synthesized， and packaged into lentiviral vectors to establish the Ishikawa cell line with ITGA6-knockdown. Similarly， the ITGA6-overexpression cell line was constructed using the coding sequence （CDS） of the gene. Real-time PCR and Western blot were performed to detect changes in epithelial-mesenchymal transition（EMT）-related markers and angiogenesis-related indicators. Cell invasion and migration capabilities were assessed by Cell Scratch and Transwell assays. Furthermore， Western blot was conducted to profile PI3K/AKT pathway dynamics. ResultsEctopic endometrial tissues exhibited a marked increase in the number of ITGA6-positive cells and their expression intensity compared to eutopic endometrium （each P < 0.001）. Compared with the NC group， the ITGA6-knockdown group showed significantly reduced expression of N-cadherin， VEGF， and TGF-β1 （all P < 0.01）， while E-cadherin expression was markedly increased （P < 0.01）. Concomitantly， the invasion and migration capacities of ITGA6-low expression were significantly impaired （P < 0.001 for both）， accompanied by a marked reduction in AKT and phosphorylated AKT（p-AKT） levels （P < 0.001）. Conversely， overexpressing ITGA6 resulted in opposite effects. ConclusionITGA6 modulates EMT and angiogenesis in Ishikawa cells via the PI3K/AKT signaling pathway， thereby enhancing cell invasion and migration capabilities， which contributes to the pathogenesis of AWE.

Background/Aims: Acetyl coenzyme A (acetyl-CoA) is one of the most essential metabolites in cell metabolism but its function and concentration in hepatocellular carcinoma (HCC) remain elusive and controversial. Methods: A comprehensive analysis of acetyl-CoA levels and acetyl-CoA synthetase 2 (ACSS2) expression across a range of samples, including patient specimens from both hepatitis B virus (HBV) positive and HBV negative HCC individuals, HBV-transgenic mouse HCC models, and multiple cell lines. Furthermore, to evaluate the functional significance of ACSS2 in HBV-related HCC, we implemented both genetic and pharmacological inhibition strategies targeting ACSS2. Molecular mechanism and mitophagy assessment were revealed by cleavage under target and tagmentation sequencing, RNA sequencing, bioinformatic analyses, transmission electron microscopy and JC-1 staining. Results: Our study revealed a distinct metabolic signature of HBV-related HCC, marked by elevated acetyl-CoA, which was driven by ACSS2. ACSS2 was upregulated by the carbohydrate response element-binding protein in HBV-related HCC. Furthermore, ACSS2 improved tumor cell proliferation, an effect that was dependent on its enzymatic activity. Mechanistically, ACSS2-induced acetyl-CoA accumulation activated voltage-dependent anion channels 1 transcription through increased H3K27ac occupancy, which subsequently promoted mitophagy and HBV-related HCC tumorigenesis. Notably, targeting ACSS2 by depletion or inhibition with a catalytic inhibitor significantly suppressed tumor growth. Conclusions These findings not only illustrate the interplay between metabolic reprogramming, epigenetic modification, and tumorigenesis in the context of HBV infection, but also highlight ACSS2 as a novel metabolic vulnerability in HBV-related HCC. Therefore, targeting ACSS2 could be a novel strategy against HBV-related HCC.

ObjectiveTo develop and validate a diagnostic prediction model for differentiating pulmonary tuberculosis from community-acquired pneumonia based on routine blood parameters. MethodsA total of 642 patients with pulmonary tuberculosis and 503 patients with community-acquired pneumonia were retrospectively enrolled from the Seventh Hospital of Tangshan. They were randomly divided into a training set and an internal validation set at a 7∶3 ratio. Additionally， 218 patients from the 981st Hospital were independently included as an external validation set. The Boruta algorithm and recursive feature elimination were employed to select predictors from 82 blood parameters， sex， and age. A multivariate Logistic regression model was established and evaluated using receiver operating characteristic （ROC） curves， calibration curves， and decision curve analysis. ResultsThe final model incorporated eight predictors， namely uric acid， urea nitrogen， alkaline phosphatase， monoamine oxidase， alanine aminotransferase， glutathione， neutrophil percentage， and age. The model achieved areas under the curve （AUCs） of 0.800 （95%CI： 0.769-0.830）， 0.787 （95%CI： 0.738-0.836）， and 0.736 （95%CI： 0.667-0.835） in the training， internal validation， and external validation sets， respectively. The model demonstrated good calibration， and decision curve analysis showed clinical net benefit within the threshold probability range of 10%-80%. ConclusionThe developed model exhibits good discriminative ability and clinical utility， serving as an effective early screening tool for primary healthcare institutions.

Drug resistance is one of the key factors affecting the effectiveness of cancer treatment methods, including chemotherapy, radiotherapy, and immunotherapy. Its occurrence is related to factors such as mRNA expression and methylation within cancer cells. If drug resistance in patients can be accurately identified early, doctors can devise more effective treatment plans, which is of great significance for improving patients' survival rates and quality of life. Cancer drug resistance prediction based on artificial intelligence (AI) technology has emerged as a current research hotspot, demonstrating promising application prospects in guiding clinical individualized and precise medication for cancer patients. This review aims to comprehensively summarize the research progress in utilizing AI algorithms to analyze multi-omics data including genomics, transcriptomics, epigenomics, proteomics, metabolomics, radiomics, and histopathology, for predicting cancer drug resistance. It provides a detailed exposition of the processes involved in data processing and model construction, examines the current challenges faced in this field and future development directions, with the aim of better advancing the progress of precision medicine.

COMPERA 2.0 risk stratification has been demonstrated to be useful in patients with precapillary pulmonary hypertension (PH). However, its suitability for patients at risk for post-capillary PH or PH associated with left heart disease (PH-LHD) is unclear. To investigate the use of COMPERA 2.0 in patients with severe aortic stenosis (SAS) undergoing transcatheter aortic valve replacement (TAVR), who are at risk for post-capillary PH, a total of 327 eligible SAS patients undergoing TAVR at our institution between September 2015 and November 2020 were included in the study. Patients were classified into four strata before and after TAVR using the COMPERA 2.0 risk score. The primary endpoint was all-cause mortality. Survival analysis was performed using Kaplan-Meier curves, log-rank test, and Cox proportional hazards regression model. The study cohort had a median (interquartile range) age of 76 (70‒80) years and a pulmonary arterial systolic pressure of 33 (27‒43) mmHg (1 mmHg=0.133 kPa) before TAVR. The overall mortality was 11.9% during 26 (15‒47) months of follow-up. Before TAVR, cumulative mortality was higher with an increase in the risk stratum level (log-rank, both P<0.001); each increase in the risk stratum level resulted in an increased risk of death (hazard ratio (HR) 2.53, 95% confidential interval (CI) 1.54‒4.18, P<0.001), which was independent of age, sex, estimated glomerular filtration rate (eGFR), hemoglobin, albumin, and valve type (HR 1.76, 95% CI 1.01‒3.07, P=0.047). Similar results were observed at 30 d after TAVR. COMPERA 2.0 can serve as a useful tool for risk stratification in patients with SAS undergoing TAVR, indicating its potential application in the management of PH-LHD. Further validation is needed in patients with confirmed post-capillary PH by right heart catheterization.
Humans ; Aortic Valve Stenosis/complications* ; Aged ; Hypertension, Pulmonary/mortality* ; Male ; Female ; Transcatheter Aortic Valve Replacement ; Aged, 80 and over ; Risk Assessment/methods* ; Proportional Hazards Models ; Kaplan-Meier Estimate ; Retrospective Studies

Glioma is the most common primary tumor of the central nervous system,with glio-blastoma multiforme of World Health Organization grade Ⅳ exhibiting the highest malignancy and worst prognosis.Long non-coding RNA(lncRNA)is a type of regulatory RNA without protein-coding ability,which can promote the malignant phenotypic evolution of glioma cells and induce therapeutic resistance by reprogramming glycolytic metabolism,playing a crucial role in the malignant progression and prognosis of glioma.This paper mainly introduced the role of lncRNA in regulating the biological behavior of glioma cells and aerobic glycolysis,and proposed a new paradigm of combined therapy based on the aerobic glycolysis metabolism-epigenetic network,providing new ideas for the discovery of diagnostic biomarkers and the development of novel therapeutic strategies for glioma.

Parkinson's disease(PD)is the second most prevalent neurodegenerative disorder globally,and its pathogenesis remains incompletely understood.Mitochondrial dysfunction in micro-glia serves as a crucial factor in the onset and progression of PD,with studies on mitochondrial disor-ders playing a vital role in elucidating the pathogenesis of PD.A profound understanding of the rela-tionship between mitochondrial dysfunction and microglia activation in PD is of great significance for unraveling the pathogenesis,diagnosis,and treatment of PD.This review summarized the research progress on the roles of mitochondrial energy metabolism disorders,dynamic imbalance,autophagy defects,and mitochondrial transfer in the activation of microglia in PD.

Objective:To investigate the association between dietary diversity and the risk of major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI) in patients with coronary heart disease (CHD) .Methods:A total of 553 patients diagnosed with CHD and undergoing PCI in the Department of Cardiology at the Second Affiliated Hospital of Harbin Medical University between May and November 2023 were enrolled using a convenience sampling method. A Semi-Quantitative Food Frequency Questionnaire was used to assess patients' dietary intake after PCI, and the Dietary Diversity Score (DDS) was calculated. Patients were followed up for one year to determine the incidence of MACE.Results:History of hypertension, history of hyperlipidemia, body mass index, use of antiplatelet agents, use of diuretics, triglycerides, smoking index and DDS were identified as factors influencing the occurrence of MACE after PCI ( P<0.05) . Among these, higher dietary diversity had a protective effect against MACE. Conclusions:After PCI, patients with lower DDS experienced MACE more frequently than those with higher scores. Increased dietary diversity can effectively help prevent MACE in patients after PCI.

Objective Based on the bibliometric methods of CiteSpace and VOSviewer,this paper analyzes Chinese and English literature on the application of plasma in wound healing,combs the current research status and hotspots,and predicts the future development trends of basic and clinical research.Methods The data retrieval platforms include China National Knowledge Infrastructure(CNKI),Wanfang Data Knowledge Service Platform,VIP Chinese Science and Technology Journal Database,and Web of Science(WOS).A total of 310 relevant articles were included,and information such as the number of publications,authors,institutions,countries,and keywords was visualized.Results As an emerging research direction in the 21st century,the volume of publications on plasma-promoted wound healing has shown an overall upward trend,with more publications abroad;currently,most research teams at home and abroad come from higher learning institutions and present the characteristics of multidisciplinary exchange and integration.Conclusion Plasma technology has a significant effect in promoting the healing of various complex and difficult wounds,but there is a lack of basic research literature at present.Therefore,it is necessary to further verify its mechanism of action in order to expect plasma to have a wider range of clinical research and applications in promoting wound healing in the future.