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.

Organoid-on-a-chip technology represents a promising interdisciplinary advancement that merges two cutting-edge biomedical platforms: stem cell-derived organoids and microfluidics-based organ-on-a-chip systems. Organoids are self-organizing three-dimensional (3D) cell cultures that mimic the key structural and functional features of in vivo organs. However, traditional organoid culture systems are often static, lacking dynamic environmental cues and suffering from limitations such as batch-to-batch variability, low stability, and low throughput. Organ-on-a-chip platforms, by contrast, utilize microfluidic technologies to simulate the dynamic physiological microenvironment of human tissues and organs, enabling more controlled cell growth and differentiation. By integrating the advantages of organoids and organ-on-a-chip technologies, organoid-on-a-chip systems transcend the limitations of conventional 3D culture models, offering a more physiologically relevant and controllable in vitro platform. In organoid-on-a-chip systems, stem cells or pre-formed organoids are cultured in micro-engineered environments that mimic in vivo conditions, enabling precise control over fluid flow, mechanical forces, and biochemical cues. Specifically, these platforms employ advanced strategies including bio-inspired 3D scaffolds for structural support, precise spatial cell patterning via 3D bioprinting, and integrated biosensors for real-time monitoring of metabolic activities. These synergistic elements recreate complex extracellular matrix signals and ensure high structural fidelity. Based on structural complexity, organoid-on-a-chip systems are classified into single-organoid and multi-organoid types, forming a trajectory from unit biomimicry to systemic simulation. Single-organoid chips focus on highly biomimetic units by integrating vascular, immune, or neural functions. Multi-organoid chips simulate inter-organ crosstalk and systemic homeostasis, advancing complex disease modeling and PK/PD evaluation. This emerging technology has demonstrated broad application potential in multiple fields of biomedicine. Organoid-on-a-chip systems can recapitulate organ developmentin vitro, facilitating research in developmental biology. They mimic organ-specific physiological activities and mechanisms, showing promising applications in regenerative medicine for tissue repair or replacement. In disease modeling, they support the reconstruction of models for neurodegenerative, inflammatory, infectious, metabolic diseases, and cancers. These platforms also enable in vitro drug testing and pharmacokinetic studies (ADME). Patient-derived chips preserve genetic and pathological features, offering potential for precision medicine. Additionally, they reduce species differences in toxicology, providing human-relevant data for environmental, food, cosmetic, and drug safety assessments. Despite progress, organoid-on-a-chip systems face challenges in dynamic simulation, extracellular matrix (ECM) variability, and limited real-time 3D imaging, requiring improved materials and the integration of developmental signals. Current bottlenecks also include the high technical threshold for automation and the lack of standardized validation frameworks for regulatory adoption. Meanwhile, the concept of a “human-on-a-chip” has been proposed to mimic whole-body physiology by integrating multiple organoid modules. This approach enables systemic modeling of drug responses and toxicity, with the potential to reduce animal testing and revolutionize drug development. Future advancements in bio-responsive hydrogels and flexible biosensors will further empower these platforms to bridge the gap between bench-side research and personalized clinical interventions. In conclusion, organoid-on-a-chip technology offers a transformative in vitro model that closely recapitulates the complexity of human tissues and organ systems. It provides an unprecedented platform for advancing biomedical research, clinical translation, and pharmaceutical innovation. Continued development in biomaterials, microengineering, and analytical technologies will be essential to unlocking the full potential of this powerful tool.

Organoid-on-a-chip technology represents a promising interdisciplinary advancement that merges two cutting-edge biomedical platforms: stem cell-derived organoids and microfluidics-based organ-on-a-chip systems. Organoids are self-organizing three-dimensional (3D) cell cultures that mimic the key structural and functional features of in vivo organs. However, traditional organoid culture systems are often static, lacking dynamic environmental cues and suffering from limitations such as batch-to-batch variability, low stability, and low throughput. Organ-on-a-chip platforms, by contrast, utilize microfluidic technologies to simulate the dynamic physiological microenvironment of human tissues and organs, enabling more controlled cell growth and differentiation. By integrating the advantages of organoids and organ-on-a-chip technologies, organoid-on-a-chip systems transcend the limitations of conventional 3D culture models, offering a more physiologically relevant and controllable in vitro platform. In organoid-on-a-chip systems, stem cells or pre-formed organoids are cultured in micro-engineered environments that mimic in vivo conditions, enabling precise control over fluid flow, mechanical forces, and biochemical cues. Specifically, these platforms employ advanced strategies including bio-inspired 3D scaffolds for structural support, precise spatial cell patterning via 3D bioprinting, and integrated biosensors for real-time monitoring of metabolic activities. These synergistic elements recreate complex extracellular matrix signals and ensure high structural fidelity. Based on structural complexity, organoid-on-a-chip systems are classified into single-organoid and multi-organoid types, forming a trajectory from unit biomimicry to systemic simulation. Single-organoid chips focus on highly biomimetic units by integrating vascular, immune, or neural functions. Multi-organoid chips simulate inter-organ crosstalk and systemic homeostasis, advancing complex disease modeling and PK/PD evaluation. This emerging technology has demonstrated broad application potential in multiple fields of biomedicine. Organoid-on-a-chip systems can recapitulate organ developmentin vitro, facilitating research in developmental biology. They mimic organ-specific physiological activities and mechanisms, showing promising applications in regenerative medicine for tissue repair or replacement. In disease modeling, they support the reconstruction of models for neurodegenerative, inflammatory, infectious, metabolic diseases, and cancers. These platforms also enable in vitro drug testing and pharmacokinetic studies (ADME). Patient-derived chips preserve genetic and pathological features, offering potential for precision medicine. Additionally, they reduce species differences in toxicology, providing human-relevant data for environmental, food, cosmetic, and drug safety assessments. Despite progress, organoid-on-a-chip systems face challenges in dynamic simulation, extracellular matrix (ECM) variability, and limited real-time 3D imaging, requiring improved materials and the integration of developmental signals. Current bottlenecks also include the high technical threshold for automation and the lack of standardized validation frameworks for regulatory adoption. Meanwhile, the concept of a “human-on-a-chip” has been proposed to mimic whole-body physiology by integrating multiple organoid modules. This approach enables systemic modeling of drug responses and toxicity, with the potential to reduce animal testing and revolutionize drug development. Future advancements in bio-responsive hydrogels and flexible biosensors will further empower these platforms to bridge the gap between bench-side research and personalized clinical interventions. In conclusion, organoid-on-a-chip technology offers a transformative in vitro model that closely recapitulates the complexity of human tissues and organ systems. It provides an unprecedented platform for advancing biomedical research, clinical translation, and pharmaceutical innovation. Continued development in biomaterials, microengineering, and analytical technologies will be essential to unlocking the full potential of this powerful tool.

Objective: To explore the correlation between traditional Chinese medicine (TCM) constitution and depressive symptom among school aged children and adolescents, so as to provide evidences for informing constitution based regulation and prevention of depressive symptom. Methods: From June to December 2024, a total of 4 729 students aged 6-14 were recruited by cluster random sampling from 10 primary schools in Baoding (Hebei Province), Heze and Liaocheng (Shandong Province). General information, TCM constitution and depressive symptom were collected. Restricted cubic spline (RCS) models were used to analyze related factors and threshold effects of depressive symptom. Binary Logistic regression was applied to examine the association between depressive symptom and TCM constitution, with subgroup analyses conducted. Results: The detection rate of depressive symptom among the included children and adolescents was 25.82%. RCS analyses indicated non linear associations between depressive symptom and age (inflection point at 10 years old), bedtime (inflection point at 22:00), and wake up time (inflection point at 6:30 ) (all P non linearity <0.01). Linear associations were observed with body mass index (BMI) and sleep duration (all P non linearity > 0.05 ). After adjusting for covariates such as age, BMI and sleep status, binary Logistic regression analyses showed that Yin deficient constitution ( OR =1.26, 95% CI =1.09-1.45) and Phlegm-dampness constitution ( OR =1.42, 95% CI =1.11-1.82) were significantly associated with depressive symptom among children and adolescents (all P <0.05). Conclusions Depressive symptom among school aged children and adolescents is primarily associated with Yin deficiency and Phlegm dampness constitutions in TCM constitution. Active attention should be paid to susceptible TCM constitution among children and adolescents. Targeted health guidance and interventions should be implemented to improve TCM constitution health status for preventing the occurrence of depressive symptom.

Aim To investigate the mechanism of ac-tion of Qingre Zhixue granules in the treatment of IgA vasculitic nephritis(IgAVN)based on network phar-macology and animal experiments.Methods The ac-tive ingredients and targets of Qingre Zhixue granules were screened out by TCMSP database.The disease targets of IgAVN were retrieved by Disgenet,Gene-cards OMIM and TTD databases.The intersection tar-gets were obtained by WeChat online database,and the information was imported into Cytoscope 3.7.1 soft-ware and STRING analysis platform to construct a drug-active component-therapeutic target network.Based on the core targets,GO and KEGG pathway enrichment a-nalysis was performed through the Metascape database to select key targets and core active components.The results of network pharmacology were verified by ani-mal experiments.The animal model of IgAVN was con-structed by the combination of disease and syndrome.The urine red blood cells and 24-hour urine protein of IgAVN model rats after intervention of Qingre Zhixue granules were detected.HE staining and IgA immuno-fluorescence deposition of renal tissue were observed.Western blot and qRT-PCR were used to detect the ex-pression of core targets in renal tissue.Results Net-work pharmacology showed that 109 active ingredients,402 drug targets,1 285 disease targets and 113 inter-section targets were obtained.The core targets screened by protein interaction and network topology a-nalysis were IL6,TNF,VEGFA,etc.The core drug ingredients were quercetin,paeoniflorin,luteolin,kaempferol and baicalein.A total of 2 545 gene func-tions were enriched by GO,and 164 gene pathways were enriched by KEGG.Qingre Zhixue granules could treat IgAVN by regulating TNF signaling pathway,MAPK signaling pathway,IL-17 signaling pathway,HIF-1 signaling pathway,Toll receptor signaling path-way,NF-κB signaling pathway and apoptosis.Animal experiments showed that compared with the blank group,the urine red blood cells and 24-hour urine pro-tein quantification in the model group increased(P＜0.05);the expression of serum IL-6,TNF-α and VEGF-α increased(P＜0.05).HE staining showed glomerular mesangial proliferation,capillary lumen ste-nosis,accompanied by a small amount of inflammatory cell infiltration,glomerular IgA immunofluorescence deposition;the expression of TNF-α,p-p65,p-p38 protein and TNF-α mRNA in renal tissue increased(P＜0.05).After the intervention of Qingre Zhixue gran-ules,urine red blood cells and 24-hour urine protein decreased(P＜0.05).The changes of renal HE stai-ning were improved and glomerular IgA deposition was reduced.TNF-α,p-p65,p-p38 protein and TNF-αmRNA in renal tissue decreased(P＜0.05).Conclu-sions The active ingredients such as quercetin,peony glycoside and luteolin Qingre Zhixue granules regulate TNF signaling pathway,MAPK signaling pathway,IL-17 signaling pathway and reduce IL-6,TNF-α and VEGF-α in the treatment of IgAVN.

Objective To retrospectively analyze the association between metabolic factors and high-risk colorectal adenoma(CRA).Methods The medical records of patients aged 18-75 years who underwent their initial colonoscopy at Karamay Central Hospital of Xinjiang Uygur Autonomous Region from Jul 2000 to Mar 2017 were collected.The comparison between normal colonoscopy(NC)and high-risk CRA patients was conducted using an unpaired t-test,while chi-square test was used for categorical variables.Least absolute shrinkage and selection operator(LASSO)regression and Logistic regression were utilized to analyze the association between metabolic factors and high-risk CRA.Results A total of 1 798 patients meeting the inclusion and exclusion criteria were enrolled and divided into normal colonoscopy(NC)findings group(n=972)and high-risk CRA group(n=826).The high-risk CRA group exhibited significantly lower levels of high-density lipoprotein cholesterol(HDL-C)in comparison to the NC group,while uric acid and fibrosis 4(FIB-4)index levels were significantly higher than those observed in the NC group(all P<0.05).Based on LASSO regression analysis,we identified 12 variables that potentially influence the occurrence of high-risk CRA,including age,gender,smoking history,alcohol consumption history,non-alcoholic fatty liver disease(NAFLD),hypertension,coronary artery disease,hyperglycemia,hypercholesterolemia,low levels of HDL-C,elevated alanine aminotransferase,and elevated gamma-glutamyl transferase.Multivariate analysis revealed that individuals aged over 50 years,male gender,cigarette and alcohol consumption,low HDL-C levels,history of NAFLD and hypertension were identified as independent risk factors associated with high-risk CRA(P<0.05).In addition,without or with adjusting for age,sex,smoking,and drinking history,patients with a high TG/HDL-C ratio(the ratio≥2.68)had a significantly higher risk of high-risk CRA than those with a low TG/HDL-C ratio(the ratio<2.68)[odds ratios(ORs)were1.430 and 1.235 respectively,all P<0.05)].Without or with adjusting variables,the ORs for NAFLD patients with FIB-4 index>2.67 were 1.849(P=0.466)and 1.435(P=0.707),respectively.Conclusion A significant association exists between metabolic factors and high-risk CRA.Independent risk factors for high-risk CRA include older age(≥50 years),male,smoking history,alcohol consumption history,low levels of HDL-C,and a history of NAFLD and hypertension.Individuals exhibiting a TG/HDL-C ratio exceeding 2.68 manifest a significantly heightened susceptibility to the development of high-risk CRA.Therefore,elderly males with one or more aforementioned metabolic abnormalities should be considered a priority population for colorectal screening.

Objective:To investigate effect of testosterone on polarization of M1 macrophages induced by lipopolysaccharide(LPS).Methods:CCK-8 method was used to detect effects of LPS and testosterone on RAW 264.7 cell viability.Morphological changes of cells were observed by optical microscope.mRNA expression levels of M1-type polarizing genes TNF-α,IL-1β and IL-6 in macro-phages were detected by qRT-PCR.Expression levels of M1-polarizing protein TNF-α and CD206 in macrophages were detected by immunofluorescence and Western blot.Secretion of inflammatory cytokines was detected by ELISA.Results:Testosterone could decrease mRNA expressions of TNF-α,IL-1β and IL-6 mRNA and protein expression of TNF-α.Finally,testosterone could decrease secretion of inflammation-related factors.Conclusion:Testosterone can inhibit LPS-induced transformation of macrophages to M1 polarization phenotype.

Objective·To investigate the causal relationship between plasma zinc-alpha-2-glycoprotein 1(AZGP1)and heart failure(HF)by using Mendelian randomization(MR)analysis and experimental validation.Methods·A two-sample MR analysis was performed to assess the causal relationship between AZGP1 and HF by integrating large-scale genome-wide association study(GWAS)data on plasma proteins and HF.The inverse-variance weighted(IVW)method was employed as the primary analytical approach,supplemented by MR-Egger regression,weighted median,and simple median methods.Horizontal pleiotropy was tested by using MR-PRESSO global test and MR-Egger intercept analysis.Colocalization analysis was conducted to validate genetic locus overlap.Additionally,a clinical cohort(84 HF patients and 68 healthy controls)was analyzed,with plasma AZGP1 levels quantified by enzyme-linked immunosorbent assay(ELISA).Results·MR analysis showed that elevated plasma AZGP1 levels were significantly associated with reduced HF risk(OR=0.82,95%CI 0.75?0.90,P=1.70×10-5).Colocalization analysis confirmed that AZGP1 expression and HF shared causal genetic variants(posterior probability for H4=0.69).Sensitivity and reverse MR analyses supported the robustness of the results.ELISA confirmed that plasma AZGP1 levels were significantly lower in HF patients compared to healthy controls,reinforcing its protective role in HF.Conclusion·This study demonstrates AZGP1 exerts a protective causal effect on HF and may serve as a potential biomarker for HF treatment.

Objective:To provide novel genetic biomarkers for the diagnosis and treatment of sepsis,bioinformatics analysis was used to screen differentially expressed genes and identify Hub genes in sepsis.Methods:Gene Expression Omnibus(GEO)database was used to retrieve gene expression datasets of sepsis and screen for differentially expressed genes(DEGs).Protein-protein interaction(PPI)network analysis,Gene Ontology(GO)analysis,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were used to clarify the molecular mechanism of DEGs,and Hub genes were screened.Results:A total of 361 DEGs were identified,including 163 up-regulated genes and 198 down-regulated genes.Enrichment analysis revealed that these DEGs were primarily involved in antigen processing and presentation,T cell biology,cell adhesion molecules,and T cell receptor signaling pathways.CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1 were determined as optimal diagnostic biomarkers for sepsis.Conclusions:This study elucidated 10 Hub genes(CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1)as potential biomarkers for the diagnosis and treatment of sepsis.However,since the the generalizability of these Hub genes in patients with sepsis remains unvalidated,further experimental verification is still needed in the future.

AIM:This study aims to investigate the role of histone methyltransferase SET and MYND domain containing 2(SMYD2)in facilitating renal fibrosis through the macrophage-myofibroblast transition in diabetic kidney dis-ease(DKD).METHODS:(1)C57BL/6J mice were intraperitoneally administered 55 mg/kg of streptozotocin to induce diabetes mellitus(DM).The experimental groups were categorized as follows:normal control,DM(20 weeks),DM(28 weeks),and DM(36 weeks).Blood glucose(BG),serum creatinine(SCr)and blood urea nitrogen(BUN)levels were determined using a biochemical analyzer.Hematoxylin-eosin(HE)staining and Masson staining were performed to assess morphological and fibrotic changes in renal tissues.Western blot analysis was used to measure the protein levels of SMYD2,histone H3 lysine 4 trimethylation(H3K4me3),arginase-1,matrix metalloproteinase 9(MMP9),collagen type Ⅰ(Col Ⅰ)and α-smooth muscle actin(α-SMA).Immunofluorescence staining was conducted to examine the localization and expression of F4/80,α-SMA,SMYD2,CD86,CD206 and CD163.(2)Mouse monocyte/macrophage RAW264.7 cells were cultured in vitro and assigned to groups as follows:normal glucose(NG)+negative control siRNA(siNC),high glucose(HG)+siNC,NG+SMYD2 siRNA(siSMYD2),and HG+siSMYD2.Western blot analysis was used to assess the expression of relevant proteins.RESULTS:(1)Compared with normal control group,the levels of BG,SCr and BUN were significantly elevated in DM(28 weeks)and DM(36 weeks)groups(P＜0.05).Renal tissue exhibited tubular atro-phy,dilation,and collagen fiber deposition.The levels of H3K4me3,arginase-1,MMP9,Col Ⅰ and α-SMA proteins were up-regulated(P＜0.05).The CD86,CD206,CD163 and F4/80 were primarily localized in the interstitial macrophages of the renal tubules,α-SMA was predominantly detected in the renal interstitium,and SMYD2 was mainly expressed in renal tubular epithelial cells and the renal interstitium.(2)Compared with NG+siNC group,the protein levels of SMYD2,H3K4me3,arginase-1,CD163,Col Ⅰ,α-SMA,transforming growth factor-β1(TGF-β1)and p-Smad3 in the cells of HG+siNC group were significantly increased(P＜0.05).Knockdown of SMYD2 resulted in a reduction of these indicators(P＜0.05).CONCLUSION:The SMYD2 protein appears to facilitate renal fibrosis in DKD by promoting the macrophage-myofibroblast transition,potentially through the modulation of TGF-β1/Smad3 signaling pathway.