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.

A 20-year-old male patient presented to the Department of Dermatology of Peking Union Medical College Hospital with complaints of an 8-year history of facial scarring, swelling of the lower limbs, and a 4-year history of scalp thickening. Physical examination showed thickening furrowing wrinkling of the skin on the face and behind the ears, ciliary body hirsutism, blepharoptosis, and cutis verticis gyrate. Both lower limbs were swollen, especially the knees and ankles. The skin of the palms and soles of the feet was keratinized and thickened. Laboratory examination using bone and joint X-ray showed periostosis of the proximal middle phalanges and metacarpals of both hands, distal ulna and radius, tibia and fibula, distal femurs, and metatarsals.Genetic testing revealed two variants in SLCO2A1, c.1658T > A and c.96+4A > C.Through multidisciplinary consultation, we confirmed the diagnosis of pachydermoperiostosis.

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

Objective·To compare the safety and short-term outcomes of robot-assisted versus laparoscopic-assisted proximal gastrectomy combined with double-flap esophagogastrostomy in the treatment of early upper gastric cancer.Methods·A retrospective cohort study was conducted to analyze the clinical and pathological data of 31 early gastric cancer patients who underwent proximal gastrectomy combined with double-flap esophagogastrostomy for gastrointestinal reconstruction at the Department of Gastrointestinal Surgery,Renji Hospital,Shanghai Jiao Tong University School of Medicine,from September 2023 to March 2024.Based on the surgical approach,patients were divided into the robot-assisted surgery group(robotic group,20 cases)and the laparoscope-assisted surgery group(laparoscopic group,11 cases).General clinical data,intraoperative conditions,and postoperative recovery between the two groups were compared.At the 6-month postoperative follow-up,upper gastrointestinal radiography and esophagogastroscopy were performed to assess anastomotic stricture and gastroesophageal reflux disease.Additionally,the gastric cancer-specific module of the European Organization for Research and Treatment of Cancer(EORTC),Quality of Life Questionnaire-Stomach 22(QLQ-STO22),was used to evaluate the patients' quality of life.Results·The general data of the two groups,including gender,age,preoperative comorbidities,American Society of Anesthesiologists(ASA)classification,Siewert classification,and pathological staging of tumors,showed no statistically significant differences(all P>0.05).All patients successfully underwent the procedure without conversion to open surgery.The time for gastroesophageal anastomosis was significantly shorter in the robotic group compared to the laparoscopic group[(31.09±8.23)min vs(43.73±8.83)min,P<0.001],while there were no statistically significant differences in other intraoperative and postoperative parameters,including operative time,intraoperative blood loss,number of lymph nodes removed,duration of gastric tube placement,time to start a liquid diet,length of postoperative hospital stay,and incidence of postoperative complications(all P>0.05).At the 6-month postoperative follow-up,30 patients completed the follow-up,with one patient lost to follow-up in the robotic group.Upper gastrointestinal radiography and esophagogastroscopy results showed that only one patient in the laparoscopic group developed an anastomotic stricture,while one patient in the robotic group developed grade A and one developed grade B gastroesophageal reflux disease(GERD).In addition,one patient in the laparoscopic group also developed grade B GERD.The incidences of GERD and anastomotic stricture showed no statistically significant differences between the two groups(both P>0.05).EORTC QLQ-STO22 results indicated that the robotic group had significantly lower scores in the dimensions of dysphagia,gastroesophageal reflux,and dietary restrictions,as well as in the total score,compared to the laparoscopic group(all P<0.05).Conclusion·Robot-assisted proximal gastrectomy combined with double-flap esophagogastrostomy is safe and feasible.It shortens anastomosis time and offers potential advantages in postoperative functional recovery and quality of life improvement.

Diabetic kidney disease(DKD)is one of the common microvascular complications of diabetes mellitus,and it has become the main cause of chronic kidney disease and end stage renal disease.Traditional Chinese medicine can delay the progress of DKD by inhibiting oxidative stress,improving renal tissue damage,restoring renal function.This paper will summarize the relationship between oxidative stress and DKD and the prevention and treatment of DKD by traditional Chinese medicine,so as to provide reference for clinical drug application,basic research and new drug research and development of DKD.

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.

Neutrophil extracellular traps (NETs), intricate reticular structures released by activated neutrophils, play a pivotal regulatory role in the pathogenesis of malignant tumors. Lung cancer is one of the most prevalent malignancies globally, with persistently high incidence and mortality rates. Recent studies have revealed that NETs dynamically modulate the tumor microenvironment through unique pathological mechanisms, exhibiting complex immunoregulatory characteristics during the progression of lung cancer, and this discovery has increasingly become a focal point in tumor immunology research. This paper provides a comprehensive review of the latest advancements in NETs research related to lung cancer, offering an in-depth analysis of their impact on lung cancer progression, their potential diagnostic value, and the current state of research on targeting NETs for lung cancer prevention and treatment. The aim is to propose novel strategies to enhance therapeutic outcomes and improve the prognosis for lung cancer patients.
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Extracellular Traps/immunology* ; Humans ; Lung Neoplasms/metabolism* ; Neutrophils/metabolism* ; Animals ; Tumor Microenvironment

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged

BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia in the elderly. This study aimed to evaluate urban-rural disparities in its prevalence and management in elderly Chinese. METHODS: Consecutive participants aged ≥ 65 years attending outpatient clinics were enrolled for AF screening using handheld single-lead electrocardiogram (ECG) from April 2017 to December 2022. Each ECG rhythm strip was reviewed from the research team. AF or uninterpretable single-lead ECGs were referred for 12-lead ECG. Primary study outcome comparison was between rural and urban areas for the prevalence of AF. The Student's t-test was used to compare mean values of clinical characteristics between rural and urban participants, while the Pearson's chi-square test was used to compare between-group proportions. Multivariate stepwise logistic regression analysis was performed to estimate the association between AF and various patient characteristics. RESULTS: The 29,166 study participants included 13,253 men (45.4%) and had a mean age of 72.2 years. The 7073 rural participants differed significantly (P ≤ 0.02) from the 22,093 urban participants in several major characteristics, such as older age, greater body mass index, and so on. The overall prevalence of AF was 4.6% (n = 1347). AF was more prevalent in 7073 rural participants than 22,093 urban participants (5.6% vs. 4.3%, P < 0.01), before and after adjustment for age, body mass index, blood pressure, pulse rate, cigarette smoking, alcohol consumption and prior medical history. Multivariate logistic regression analysis identified overweight/obesity (OR = 1.35, 95% CI: 1.17-1.54) in urban areas and cigarette smoking (OR = 1.62, 95% CI: 1.20-2.17) and alcohol consumption (OR = 1.42, 95% CI: 1.04-1.93) in rural areas as specific risk factors for prevalent AF. In patients with known AF in urban areas (n = 781) and rural areas (n = 338), 60.6% and 45.9%, respectively, received AF treatment (P < 0.01), and only 22.4% and 17.2%, respectively, received anticoagulation therapy (P = 0.05). CONCLUSIONS In China, there are urban-rural disparities in AF in the elderly, with a higher prevalence and worse management in rural areas than urban areas. Our study findings provide insight for health policymakers to consider urban-rural disparity in the prevention and treatment of AF.

OBJECTIVE: To elucidate how spinal manipulative therapy (SMT) exerts its analgesic effects through regulating brain function in lumbar disc herniation (LDH) patients by utilizing resting-state functional magnetic resonance imaging (rs-fMRI). METHODS: From September 2021 to September 2023, we enrolled LDH patients (LDH group, n=31) and age- and sex-matched healthy controls (HCs, n=28). LDH group underwent rs-fMRI at 2 distinct time points (TPs): prior to the initiation of SMT (TP1) and subsequent to the completion of the SMT sessions (TP2). SMT was administered once every other day for 30 min per session, totally 14 treatment sessions over a span of 4 weeks. HCs did not receive SMT treatment and underwent only one fMRI scan. Additionally, participants in LDH group completed clinical questionnaires on pain using the Visual Analog Scale (VAS) and the Japanese Orthopedic Association (JOA) score, whereas HCs did not undergo clinical scale assessments. The effects on the brain were jointly characterized using the amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo). Correlation analyses were conducted between specific brain regions and clinical scales. RESULTS: Following SMT treatment, pain symptoms in LDH patients were notably alleviated and accompanied by evident activation of effects in the brain. In comparison to TP1, TP2 exhibited the most significant increase in ALFF values for Temporal_Sup_R and the most notable decrease in ALFF values for Paracentral_Lobule_L (voxelwise P<0.005; clusters >30; FDR correction). Additionally, the most substantial enhancement in ReHo values was observed for the Cuneus_R, while the most prominent reduction was noted for the Olfactory_R (voxelwise P<0.005; clusters >30; FDR correction). Moreover, a comparative analysis revealed that, in contrast to HCs, LDH patients at TP1 exhibited the most significant increase in ALFF values for Temporal_Pole_Sup_L and the most notable decrease in ALFF values for Frontal_Mid_L (voxelwise P<0.005; clusters >30; FDR correction). Furthermore, the most significant enhancement in ReHo values was observed for Postcentral_L, while the most prominent reduction was identified for ParaHippocampal_L (voxelwise P<0.005; clusters >30; FDR correction). Notably, correlation analysis with clinical scales revealed a robust positive correlation between the Cuneus_R score and the rate of change in the VAS score (r=0.9333, P<0.0001). CONCLUSIONS Long-term chronic lower back pain in patients with LDH manifests significant activation of the "AUN-DMN-S1-SAN" neural circuitry. The visual network, represented by the Cuneus_R, is highly likely to be a key brain network in which the analgesic efficacy of SMT becomes effective in treating LDH patients. (Trial registration No. NCT06277739).
Humans ; Magnetic Resonance Imaging ; Intervertebral Disc Displacement/diagnostic imaging* ; Male ; Female ; Brain/diagnostic imaging* ; Adult ; Manipulation, Spinal/methods* ; Middle Aged ; Lumbar Vertebrae/physiopathology* ; Pain Management ; Rest ; Case-Control Studies