BACKGROUND:Luteolin has a variety of pharmacological activities such as antibacterial,anti-inflammatory,antioxidant,etc.,which can inhibit the release of cellular inflammatory factors,promote cell proliferation,and improve the cellular microenvironment.OBJECTIVE:To explore the potential roles and mechanisms of luteolin in promoting diabetic chronic wound healing using network pharmacology and in vivo experiments.METHODS:Potential targets of luteolin were screened using multiple databases,systemic pharmacology of Chinese medicines database,PubChem and UniProt databases.Genes related to wound healing were identified through the GeneCards database.A protein-protein interaction network was constructed to screen core targets,and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were performed to explore the biological pathways that luteolin may affect.In vivo experiments in mice were conducted to observe the effects of luteolin on wound healing.Eighteen C57BL/6 mice were randomly divided into three groups.A 1 cm diameter full skin defect wound was made on the back of the control group(n=6),and a 1 cm diameter full skin defect wound was made on the back of the model group(n=6)and the treatment group(n=6)after the establishment of the diabetes model.The treatment group was given 200 mg/kg luteolin by gavage once a day for 9 consecutive days after the operation,and the wound healing was observed.At the end of drug administration,the samples were taken for hematoxylin-eosin and Masson staining.qRT-PCR was used to detect the mRNA expression of interleukin 6 and tumor necrosis factor α,and western blot was used to detect the protein expression of phosphatidylinositol 3-kinase/protein kinase B(PI3K/AKT)signaling pathway.RESULTS AND CONCLUSION:(1)Network pharmacological analysis identified 56 potential target genes associated with luteolin for the treatment of chronic wounds,of which the AKT gene was most closely linked to other target genes.Gene Ontology analysis indicated that luteolin could have antioxidant and anti-stress effects and have the potential to act as a multi-targeted drug.Kyoto Encyclopedia of Genes and Genomes analysis indicated that the target genes of luteolin were mainly enriched in the PI3K/AKT signaling pathway.(2)On the 9th day of drug administration,the remaining wound area of mice in the control and treatment groups was smaller than that of the model group(P＜0.05).Hematoxylin-eosin and Masson staining results showed that compared with the model group,the number of trabecular granulation tissues and collagen deposition were increased in the treatment group,and the degree of epithelialization was higher and close to that of the control group.The mRNA expression of interleukin 6 and tumor necrosis factor α on the wound surface was lower in the treatment group than the model group(P＜0.05),while the protein expression of p-PI3K and p-AKT was higher in the treatment group than the model group(P＜0.05).To conclude,luteolin inhibits wound inflammatory response and promotes healing of diabetic wounds by modulating the PI3K/AKT signaling pathway.

Chronic obstructive pulmonary disease （COPD） is a chronic respiratory disease that poses a significant threat to global health， exhibiting high morbidity， disability and mortality rate， with its prevention and treatment situation becoming increasingly critical. The pathogenesis of COPD is complex， and the underlying cellular and molecular biological mechanisms remain incompletely elucidated. Programmed cell death （PCD） is the process wherein cells actively undergo demise to maintain internal environmental stability in response to certain signals or specific stimuli. Contemporary medical research indicates that the dysregulation of PCD patterns such as apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis is closely related to the onset and progression of COPD. Clarifying the molecular mechanisms of PCD in COPD may provide novel perspectives for in-depth understanding and prevention of the disease. Traditional Chinese medicine （TCM） is characterized by holistic regulation. In recent years， extensive research has been conducted in the TCM field focusing on modulating apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis for the treatment of COPD， yielding remarkable achievements. Therefore， this study systematically explored the molecular mechanism of PCD in COPD and reviewed the potential mechanisms and intervention status of TCM targeting PCD in COPD， aiming to provide insights and references for the clinical prevention， treatment and in-depth research of COPD.

Chronic obstructive pulmonary disease （COPD） is a chronic respiratory disease that poses a significant threat to global health， exhibiting high morbidity， disability and mortality rate， with its prevention and treatment situation becoming increasingly critical. The pathogenesis of COPD is complex， and the underlying cellular and molecular biological mechanisms remain incompletely elucidated. Programmed cell death （PCD） is the process wherein cells actively undergo demise to maintain internal environmental stability in response to certain signals or specific stimuli. Contemporary medical research indicates that the dysregulation of PCD patterns such as apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis is closely related to the onset and progression of COPD. Clarifying the molecular mechanisms of PCD in COPD may provide novel perspectives for in-depth understanding and prevention of the disease. Traditional Chinese medicine （TCM） is characterized by holistic regulation. In recent years， extensive research has been conducted in the TCM field focusing on modulating apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis for the treatment of COPD， yielding remarkable achievements. Therefore， this study systematically explored the molecular mechanism of PCD in COPD and reviewed the potential mechanisms and intervention status of TCM targeting PCD in COPD， aiming to provide insights and references for the clinical prevention， treatment and in-depth research of COPD.

Hepatitis B virus （HBV） exclusively infects liver parenchymal cells and forms covalently closed circular DNA （cccDNA） within their nuclei. HBV cccDNA serves as the essential template for viral gene transcription， the sole source of progeny virus production， and the key driver of viral antigen expression， and it is the molecular basis for the persistence of HBV infection. Therefore， elimination and/or functional silencing of cccDNA is the key to eradicate chronic HBV infection. This article discusses the critical scientific issues that need to be solved during elimination of the harm of HBV infection from the perspectives of the synthesis， transcription， and clearance of cccDNA， as well as the impact of nonparenchymal cells on cccDNA， in order to provide a reference for eradicating HBV infection in the future.

Objective To investigate the dietary structure and nutritional metabolism indicators in patients with type 2 diabetic nephropathy and to analyze the relationship with renal injury. Methods From January 2022 to February 2024, 296 patients with type 2 diabetic nephropathy were included in the hospital for investigation. According to the measurement results of 24h urinary protein quantification, these patients were divided into mild, moderate and severe renal injury groups. The diet, nutritional metabolism and renal injury indicators were compared, and the correlation was analyzed. Results The total energy intake, protein, fat and carbohydrate energy supply ratio were decreased with the aggravation of renal injury while the levels of hemoglobin (Hgb), total protein (TP), globulin (GLB), albumin (ALB), triglyceride (TG) and high density lipoprotein cholesterol (HDL-C) were enhanced (P<0.05), and the total cholesterol (TC) and low density lipoprotein cholesterol (LDL-C) were manifested as severe injury group>moderate injury group>mild injury group (P<0.05). Total intake, carbohydrate energy supply ratio, Hgb, TP, GLB, ALB, TG and HDL-C were positively correlated with 24h urinary protein quantification, and the other indicators were negatively correlated with 24h urinary protein quantification (P<0.05). Conclusion The patients with type 2 diabetic nephropathy generally have unreasonable dietary structure and poor nutritional metabolism, both of which are associated with the degree of renal injury. It is recommended to strengthen the diet management, optimize the energy supply ratio, monitor the biochemical indicators and adjust the treatment regimen.

ObjectiveTo investigate somatization symptoms in adolescents during frequent earthquakes in Hefei， and to explore their correlation with earthquake experiences. MethodsA cross-sectional survey was used to select 324 adolescents in Hefei as the survey objects. The self-rating scale of somatization symptoms （SSS） and the fatigue intensity scale （FIS） were used to evaluate the somatization symptoms and fatigue degree of middle school students， and multivariate Logistic regression analysis was used to explore the related factors of somatization symptoms and fatigue among middle school students. ResultsA total of 324 adolescents were included， and the overall detection rate of somatization symptoms was 6.5%， and the detection rate of moderate or above fatigue was 20.1%. The results of regression analysis showed that adolescents who were concerned about the earthquake for a longer time （≥1 h） had a higher risk of somatization symptoms （OR=5.430， 95%CI： 1.547-19.058）， and adolescents who received pre-earthquake training had a lower degree of fatigue （OR=0.535， 95%CI： 0.292-0.981） （P<0.05）. ConclusionDuring the frequent earthquakes， adolescents have more somatization symptoms and fatigue. Therefore， it is crucial to enhance health education， reduce the emphasis on event-related reports， and implement earthquake prevention and disaster reduction training to improve the physical and mental health of adolescents.

Objective: To develop a dual-branch deep learning framework for accurate multi-label classification of fundus diseases, addressing the key limitations of insufficient complementary feature extraction and inadequate cross-modal feature fusion in existing automated diagnostic methods. Methods: The fundus multi-label classification dataset with 12 disease categories (FMLC-12) dataset was constructed by integrating complementary samples from Ocular Disease Intelligent Recognition (ODIR) and Retinal Fundus Multi-Disease Image Dataset (RFMiD), yielding 6 936 fundus images across 12 retinal pathology categories, and the framework was validated on both FMLC-12 and ODIR. Inspired by the holistic multi-regional assessment principle of the Five Wheels theory in traditional Chinese medicine (TCM) ophthalmology, the dual-branch multi-label network (DBMNet) was developed as a novel framework integrating complementary visual feature extraction with pathological correlation modeling. The architecture employed a TransNeXt backbone within a dual-branch design: one branch processed red-green-blue (RGB) images to capture color-dependent features, such as vascular patterns and lesion morphology, while the other processed grayscale-converted images to enhance subtle textural details and contrast variations. A feature interaction module (FIM) effectively integrated the multi-scale features from both branches. Comprehensive ablation studies were conducted to evaluate the contributions of the dual-branch architecture and the FIM. The performance of DBMNet was compared against four state-of-the-art methods, including EfficientNet Ensemble, transfer learning-based convolutional neural network (CNN), BFENet, and EyeDeep-Net, using mean average precision (mAP), F1-score, and Cohen's kappa coefficient. Results: The dual-branch architecture improved mAP by 15.44 percentage points over the single-branch TransNeXt baseline, increasing from 34.41% to 44.24%, and the addition of FIM further boosted mAP to 49.85%. On FMLC-12, DBMNet achieved an mAP of 49.85%, a Cohen’s kappa coefficient of 62.14%, and an F1-score of 70.21%. Compared with BFENet (mAP: 45.42%, kappa: 46.64%, F1-score: 71.34%), DBMNet outperformed it by 4.43 percentage points in mAP and 15.50 percentage points in kappa, while BFENet achieved a marginally higher F1-score. On ODIR, DBMNet achieved an F1-score of 85.50%, comparable to state-of-the-art methods. Conclusion DBMNet effectively integrates RGB and grayscale visual modalities through a dual-branch architecture, significantly improving multi-label fundus disease classification. The framework not only addresses the issue of insufficient feature fusion in existing methods but also demonstrates outstanding performance in balancing detection across both common and rare diseases, providing a promising and clinically applicable pathway for standardized, intelligent fundus disease classification.

Chronic pancreatitis （CP） is a common disease in clinical practice characterized by progressive inflammatory fibrosis of the pancreas. Gut microbiota， known as the “second genome” of humans， bidirectionally modulates the progression of fibrosis in CP via the gut-pancreas axis. This article systematically elaborates on the characteristics of gut microbiota during the progression of CP and its molecular mechanism in mediating pancreatic fibrosis through bacterial translocation， metabolites， immune regulatory networks， and microbe-pancreatic stellate cell interactions， with a focus on the pivotal role of short-chain fatty acids and inflammatory cytokine networks in pancreatic stellate cell activation and extracellular matrix deposition. In addition， this article explores the potential value of gut microbiota-targeted interventions in the prevention and treatment of CP fibrosis， such as probiotics， prebiotics， and fecal microbiota transplantation， and discusses the translational potential of using multi-omics technologies to identify diagnostic biomarkers and novel therapeutic targets for CP， in order to provide new ideas for the precise diagnosis and treatment of CP.

Objective To implement the disease prevention and control strategy of being ^"proactive and grassroots-focused,^" and to enhance the overall effectiveness of general hospitals in the tertiary prevention of cervical cancer, this consensus aims to provide an actionable guiding framework for the standardized construction of ^"Integrated Outpatient Clinics for Cervical Cancer Prevention and Control^" in general hospitals at all levels. Methods This consensus systematically elaborates on the specific elements for establishing such integrated clinics and formulates the corresponding standards. Results It is anticipated that the consensus will promote the establishment of standardized, homogeneous, and high-efficiency frontline positions for cervical cancer prevention and control within general hospitals, thereby contributing to the strategic vision of accelerating the elimination of cervical cancer. Conclusion The formulation and promotion of the consensus aim to provide robust clinical practice support for accelerating the realization of China's strategic vision of eliminating cervical cancer.

Histone deacetylase has proved to be a promising new antimalarial target in the development of novel antimalarial drugs. This article introduces the mechanism of action of histone deacetylase inhibitors and their antimalarial activity, with a focus on the discovery process of Plasmodium histone deacetylase inhibitors and their recent research progress both domestically and internationally. Recent research findings on hydroxamic acid-based and cyclic peptide inhibitors are reviewed and analyzed in detail according to their different structural types. Key challenges hindering drug development and approval, such as drug toxicity issues and the lag in related biological studies, are highlighted. Furthermore, future directions for drug research and development are proposed, offering insights for the further development of new antimalarial drugs.