OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules， and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column， with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines （2012 edition）， UPLC fi ngerprints were established for 10 batches of Jingangteng capsules， and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）， respectively. The same UPLC method was employed to determine the contents of chlorogenic acid， 3，5-dihydroxy-2-methylbenzoic acid-3- O -glucoside （M1）， caffeic acid， astilbin， oxyresveratrol， quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples， of which 7 were identified as chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories： S1-S4 formed one group， S5 and S6 formed another， S7， S8 and S10 formed a third， and S9 formed a fourth， consistent with the OPLS-DA results； the variable importance projection values for peaks 7， 10， 2， 16 （resveratrol）， 13 （oxyresveratrol）， 11， 6 （caffeic acid）， 5 （M1） and 15 （quercitrin） were ＞1. Quantitative analysis results showed that the contents of chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol were 1.650 8-4.213 7， 0.636 2-2.161 7， 0.031 0-0.086 5， 0.239 1-1.069 3， 0.211 9-1.104 0， 0.488 8-2.399 2， and 0.164 0-0.699 8 mg/g， respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate， accurate， reliable and reproducible； when combined with chemical pattern recognition analysis， they can be used to evaluate the quality of Jingangteng capsules. Nine components， such as resveratrol， oxyresveratrol， caffeic acid， M1 and quercitrin， may serve as markers of quality variation.

ObjectiveThis study aims to investigate the therapeutic effects of Wenyang Xiaoyin Prescription （Linggui Zhugan Tang combined with Tingli Dazao Xiefei Tang） on a doxorubicin-induced mouse model of chronic heart failure （CHF）. The multi-targeting action mechanism of the therapy is revealed， based on the arginine vasopressin （AVP）-vasopressin V₂ receptor （V2R）-aquaporin 2 （AQP2） signaling pathway and nuclear transcription factor -κB （NF-κB） pathway mediated by the liver X receptor （LXR） in the heart， brain， and kidney tissue. MethodsCHF mouse models were established by using intraperitoneal injection of doxorubicin and subsequently divided into a blank control group， a model control group， Wenyang Xiaoyin Prescription groups （Linggui Zhugan decoction combined with Tingli Dazao Xiefei decoction） with various doses， a captopril group， and a combination group receiving both Wenyang Xiaoyin prescription （as before） and captopril. Cardiac function was assessed by using color Doppler echocardiography， while the levels of brain natriuretic peptide （BNP）， AVP， and the renin-angiotensin-aldosterone system （RAAS） in the serum were measured via enzyme-linked immunosorbent assay （ELISA）. Pathological changes and ventricular remodeling in ventricular tissues were evaluated through hematoxylin and eosin （HE） and Masson staining， and myocardial cell apoptosis of mice was assessed by using TdT-mediated dUTP Nick-End Labeling （TUNEL） staining. Western blot and real-time polymerase chain reaction （Real-time PCR） were employed to detect the protein and RNA expression levels of LXRα， nuclear factor kappa-light-chain-enhancer of activated B cells （NF-κB）， tumor necrosis factor-α （TNF-α）， inducible nitric oxide synthase （iNOS） in the cardiac tissue， LXRβ， AVP in the hypothalamus， and LXRβ， V2R， and AQP2 in the kidneys. Furthermore， immunohistochemistry was used to quantify AQP2-positive collecting ducts in renal tissues. ResultsThe Wenyang Xiaoyin prescription significantly enhanced cardiac function indicators in CHF mice， reducing levels of BNP， AVP， and RAAS in the serum. It also mitigated myocardial cell damage and fibrosis change. The Wenyang Xiaoyin prescription inhibited the expressions of NF-κB and its downstream targets TNF-α and iNOS and improved myocardial inflammatory response， cell apoptosis， and ventricular remodeling by upregulating the expression of LXRα in cardiac tissues. Concurrently， the Wenyang Xiaoyin prescription elevated LXRβ expression in the kidneys and hypothalamus while downregulating the expression levels of AVP， V2R， and AQP2， as well as water permeability in the collecting ducts， thereby alleviating cardiac load. ConclusionThe intervention of Wenyang Xiaoyin prescription demonstrates a significant therapeutic effect on CHF， and its role involves the multi-target effect mechanism of the AVP/V2R/AQP2 and NF-κB pathways mediated by the nuclear receptor LXR in the heart， brain， and kidney tissue.

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.

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.

Osteoarthritis (OA), a highly prevalent degenerative joint disease worldwide, is defined by articular cartilage degradation, abnormal bone remodeling, and persistent chronic inflammation. It severely compromises patients’ quality of life, and currently, there is no radical cure. Abnormal mechanical stress is widely regarded as a core driver of OA pathogenesis, and the exploration of mechanical signal perception and transduction mechanisms has become crucial for deciphering OA’s pathophysiological processes. Piezo1, a key mechanosensitive cation channel belonging to the Piezo protein family, has recently gained significant attention due to its pivotal role in mediating cellular responses to mechanical stimuli in joint tissues. This review systematically examines Piezo1’s expression patterns, regulatory mechanisms, and pathological functions in OA, with a particular focus on its dual roles in modulating chondrocyte homeostasis and bone metabolism disorders, while also delving into the underlying molecular signaling pathways and potential therapeutic implications. Piezo1, consisting of approximately 2 500 amino acids and forming a unique trimeric propeller-like structure, is widely expressed in chondrocytes, osteocytes, mesenchymal stem cells, and synovial cells. It exhibits permeability to cations such as Ca²⁺, K⁺, and Na⁺, and directly responds to membrane tension changes induced by mechanical stimuli like fluid shear stress and mechanical overload. In OA patients and animal models, Piezo1 expression is significantly upregulated, especially in cartilage regions subjected to abnormal mechanical stress (e.g., human temporomandibular joint cartilage). This overexpression is closely associated with aggravated cartilage degeneration, increased chondrocyte apoptosis, accelerated cellular senescence, and intensified inflammatory responses. Mechanical overload and pro-inflammatory cytokines (e.g., IL-1β) are key inducers of Piezo1 upregulation: IL-1β activates the PI3K/AKT/mTOR signaling pathway to enhance Piezo1 expression, forming a pathogenic positive feedback loop that inhibits chondrocyte autophagy, promotes apoptosis, and further accelerates joint degeneration. Mechanistically, Piezo1 mediates OA progression through multiple interconnected pathways. When activated by mechanical stress, Piezo1 triggers excessive Ca²⁺ influx, leading to endoplasmic reticulum stress (ERS) and mitochondrial dysfunction, which directly induce chondrocyte apoptosis. This process involves the activation of downstream signaling cascades such as cGAS-STING and YAP-MMP13/ADAMTS5. YAP, a transcriptional regulator, upregulates the expression of matrix metalloproteinase 13 (MMP13) and aggrecanase (ADAMTS5), thereby accelerating cartilage matrix degradation. Additionally, Piezo1-driven Ca²⁺ overload promotes the accumulation of reactive oxygen species (ROS) and upregulates senescence markers (p16 and p21), accelerating chondrocyte senescence via the p38MAPK and NF-κB pathways. Senescent chondrocytes secrete senescence-associated secretory phenotype (SASP) factors (e.g., IL-6, IL-1β), further amplifying joint inflammation. In terms of bone metabolism, Piezo1 maintains joint homeostasis by promoting the differentiation of fibrocartilage stem cells into chondrocytes and balancing bone formation and resorption through regulating the FoxC1/YAP axis and RANKL/OPG ratio. Therapeutically, targeting Piezo1 shows promising potential. Preclinical studies have demonstrated that Piezo1 inhibitors (e.g., GsMTx4) can reduce joint damage and alleviate pain in OA mice. Simultaneously, siRNA-mediated co-silencing of Piezo1 and TRPV4 (another mechanosensitive channel) decreases intracellular Ca²⁺ concentration, inhibits chondrocyte apoptosis, and promotes cartilage repair. Conditional knockout of Piezo1 using Gdf5-Cre transgenic mice alleviates cartilage degeneration in post-traumatic OA models by downregulating MMP13 and ADAMTS5 expression. Despite existing challenges, such as off-target effects of inhibitors, inefficient local drug delivery, and interindividual genetic variability, strategies like developing selective Piezo1 antagonists, optimizing targeted nanocarriers, and combining Piezo1-targeted therapy with physical therapy provide viable avenues for clinical translation. The authors propose that Piezo1 serves as a critical therapeutic target for OA, and future research should focus on deciphering its context-dependent regulatory networks, developing tissue-specific intervention strategies, and validating their efficacy and safety in clinical trials to address the unmet medical needs of OA patients.

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.