Objective To explore the changes in intrarenal pelvic pressure and intrarenal temperature during F6.3 disposable electronic ureteroscopic lithotripsy through in vitro experiments. Methods Microchannels were established in the upper, middle, and lower calyces of ex vivo porcine kidneys. Spherical calcium oxalate stones(size:0.5 cm×0.5 cm×0.5 cm, 1-2 per target calyx)were placed via the microchannels. Temperature and pressure sensors were connected through sheaths and placed in each calyx. F6.3 disposable electronic ureteroscope combined with super-pulsed thulium fiber laser(pulse energy:0.1 J, frequency:300 Hz, power:30 W)was used for laser lithotripsy. During the procedure, normal saline(25±1)℃ was used for irrigation at a gradient of 10-150 mL/min(increasing by 10 mL/min). The temperature and pressure in the upper, middle, and lower calyces were observed and recorded at different irrigation flow rates, with each experiment repeated five times, and the average value was calculated. The intrarenal temperature and pressure changes within and between the three groups were compared. Results In the ex vivo porcine kidney model, intrarenal pelvic pressure increased linearly with the increase in irrigation flow rate. When the flow rate reached 90 mL/min, the average intrarenal pelvic pressure was(28.8±1.16)mmHg. When the flow rate was increased to 100 mL/min, the pressure exceeded the safety threshold, reaching(31.23±1.12)mmHg. With the increase in irrigation flow rate, intrarenal temperature gradually decreased. When the flow rate reached 20 mL/min, the maximum intrarenal temperature was 45.1 ℃. When the flow rate was increased to 30 mL/min, the maximum intrarenal temperature was 40.9 ℃, which did not exceed the safety threshold(43 ℃). Conclusion The in vitro experiments demonstrated that during F6.3 disposable electronic ureteroscopic lithotripsy, maintaining an irrigation flow rate of 30-90 mL/min kept the intrarenal pelvic pressure and intrarenal temperature within the safety thresholds, indicating that the procedure is safe and reliable.

High-field magnetic resonance imaging (MRI), typically referring to systems with a magnetic field strength of ≥ 3 Tesla (T), offers significant advantages over conventional MRI in terms of higher signal-to-noise ratio (SNR) and improved resolution. These advantages have opened new prospects for the assessment of kidney diseases. This review summarizes the application progress of high-field MRI in evaluating kidney diseases, focusing on advanced techniques for refined assessment of renal anatomy and function, including arterial spin labeling (ASL) perfusion imaging, blood-oxygen-level-dependent (BOLD) oxygenation imaging, sodium (23Na) imaging, and quantitative evaluation of renal fibrosis. Furthermore, the review explores the value of high-field MRI in the diagnosis of renal tumors and kidney stones, tumor characterization, and its role in supporting treatments such as percutaneous nephrolithotomy (PCNL). Specifically, high-field MRI provides new approaches for early diagnosis and accurate staging of renal tumors, as well as radiation-free detection, composition analysis, and preoperative planning for PCNL in kidney stones. Finally, the review discusses current technical challenges, practical issues such as equipment accessibility, and future development directions. High-field MRI is emerging as a powerful non-invasive tool, providing crucial support for improving the diagnosis, management, and research of kidney diseases.

ObjectiveThe effects of two microbial fertilizers （Bacillus subtilis fertilizer and Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer） on the growth and development， the accumulation of active ingredients， and the microbial community diversity of rhizosphere soil of Atractylodes chinensis were investigated. MethodsA field experiment was carried out with two-year-old Atractylodes chinensis as the test material. Plant samples were collected during the wilt stage （September 26， 2023） to determine the general agronomic traits of Atractylodes chinensis. High-performance liquid chromatography （HPLC） was utilized to evaluate the effects of microbial fertilizers on the synthesis and accumulation of four active ingredients （atractylodin， atractylon， β-eudesmol， and atractylenolide Ⅰ） in Atractylodes chinensi. PacBio Sequel sequencing technology was used to explore the differences in bacterial community structures and diversity in the rhizosphere soil of Atractylodes chinensis treated with different microbial fertilizers. ResultsThe two microbial fertilizers had significant growth-promoting effects on Atractylodes chinensis. Compared with those of the CK group， the stem diameter， stem and leaf dry and fresh weight， and rhizome dry and fresh weight of Atractylodes chinensis significantly increased by 0.47-1.07 times （P<0.05） after the application of the Bacillus subtilis fertilizer （16 kg/667 m²）， and those significantly increased by 0.62-0.96 times （P<0.05） after the application of the Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer （1.5 kg/667 m²）. The effect on plant height was not significant. The application of two microbial fertilizers was beneficial to the accumulation of atractylodin， atractylon， β-eudesmol， and atractylenolide Ⅰ （P<0.01）， and the effect of the Bacillus subtilis fertilizer on the accumulation of active ingredients of Atractylodes chinensis was better than that of the Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer. The results of high-throughput sequencing showed that compared with the CK group， the Bacillus subtilis fertilizer （8 kg/667 m²） could significantly increase the diversity of rhizosphere bacterial species by regulating the Simpson index and Shannon index （P<0.05）， and the Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer significantly reduced the bacterial diversity （P<0.05）. The relative abundance of dominant bacteria was compared at the phylum and genus levels. The relative abundance of Proteobacteria （45.73%） and Burkholderia_Caballeronia_Paraburkholderia （9.98%） significantly increased after the application of the Bacillus subtilis fertilizer （P<0.01）， and the relative abundance of Acidobacteriota （20.53%） and Sphingomonas （3.63%） increased significantly （P<0.01） after the application of the Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer. The relative abundance of beneficial bacteria in the Bacillus subtilis fertilizer was slightly higher than that in the Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer. Pearson correlation analysis showed that Burkholderia_Caballeronia_Paraburkholderia and Sphingomonas were positively correlated with the content of atractylodin， atractylon， β-eudesmol， and atractylenolide Ⅰ （P<0.05）. ConclusionThe application of the Bacillus subtilis fertilizer and Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer can increase the yield of medicinal materials and promote the synthesis and accumulation of active ingredients by regulating the rhizosphere microecological diversity of Atractylodes chinensis， and the application effect of the Bacillus subtilis fertilizer is better than that of the Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer.

BackgroundNon-suicidal self-injury （NSSI） behavior among adolescents has become a global public health concern. Anxiety and depression are considered key factors influencing NSSI behavior， while social support may play a protective role in alleviating emotional and behavioral issues. However， existing research has primarily focused on the direct impact of individual factors on NSSI behavior， with insufficient exploration of the combined effects of anxiety， depression and social support. ObjectiveTo investigate the direct effect of anxiety on NSSI， the mediating role of depression and the moderating role of social support in relationship between anxiety and NSSI behavior， thus to provide references for the prevention and intervention of NSSI behavior among adolescents. MethodsIn February 2022， a total of 40 820 students in grades 7 to 12 across 10 middle schools in a district of Chengdu were selected as participants， and they were assessed using Generalized Anxiety Disorder Scale-7 item （GAD-7）， Patient's Health Questionnaire Depression Scale-9 item （PHQ-9）， Social Support Scale for Urban Students （SSSUS） and Adolescent Self-Harm Scale （ASHS）. Pearson correlation analysis was conducted to examine the correlations between scale scores among adolescents with NSSI behaviors. Mediation and moderation analyses were performed using Process 3.5 in SPSS， and the significance was tested with bootstrapping. The interaction was visualized by using simple slope analysis. ResultsAmong 34 534 （84.60%） valid respondents， 542 adolescents （1.57%） reported engaging in NSSI behavior. Significant differences in gender， GAD-7 scores， PHQ-9 scores， and SSSUS scores were observed between NSSI behavior group and non-NSSI group （χ²/t=62.889， 71.120， 94.365， -41.464， P<0.01）.Adolesents with NSSI showed positive correlations between GAD-7 scores and both ASHS and PHQ-9 scores （r=0.158， 0.166， P<0.01）. PHQ-9 scores were positively correlated with ASHS scores （r=0.364， P<0.01）， but negatively correlated with SSSUS scores （r=-0.290， P<0.01）. SSSUS scores were negatively correlated with ASHS scores （r=-0.247， P<0.01）. Depression partially mediated the relationship between anxiety and NSSI behavior， with an effect size of 0.544 （95% CI： 0.162~0.944）， accounting for 35.79% of the total effect. Social support moderated the relationship between depression and NSSI bahavior， with an effect value of -0.082 （95% CI： -0.135~-0.029）. ConclusionAnxiety not only directly influences NSSI bahavior among adolescents， also indirectly exacerbates it through depression， while social support mitigates the impact of depression on NSSI behavior. ［Funded by Youth Project of National Natural Science Foundation of China （number， 82401812）； Project of Health Commission of Sichuan Province （number， 24LCYJPT18）］

ObjectiveIn nature, objects cast shadows due to illumination, forming the basis for stereoscopic perception. Birds need to adapt to changes in lighting (meaning they can recognize stereoscopic shapes even when shadows look different) to accurately perceive different three-dimensional forms. However, how neurons in the key visual brain area in birds handle these lighting changes remains largely unreported. In this study, pigeons (Columba livia) were used as subjects to investigate how neurons in pigeon’s ventrolateral mesopallium (MVL) represent stereoscopic shapes consistently, regardless of changes in lighting. MethodsVisual cognitive training combined with neuronal recording was employed. Pigeons were first trained to discriminate different stereoscopic shapes (concave/convex). We then tested whether and how light luminance angle and surface appearance of the stereoscopic shapes affect their recognition accuracy, and further verify whether the results rely on specify luminance color. Simultaneously, neuronal firing activity of neurons was recorded with multiple electrode array implanted from the MVL during the presentation of difference shapes. The response was finally analyzed how selectively they responded to different stereoscopic shapes and whether their selectivity was affected by the changes of luminance condition (like lighting angle) or surface look. Support vector machine (SVM) models were trained on neuronal population responses recorded under one condition (light luminance angle of 45°) and used to decode responses under other conditions (light luminance angle of 135°, 225°, 315°) to verify the invariance of responses to different luminance conditions. ResultsBehavioral results from 6 pigeons consistently showed that the pigeons could reliably identify the core 3D shape (over 80% accuracy), and this ability wasn’t affected by changes in light angle or surface appearance. Statistical analysis of 88 recorded neurons from 6 pigeons revealed that 83% (73/88) showed strong selectivity for specific 3D shapes (selectivity index>0.3), and responses to convex shapes were consistently stronger than to concave shapes. These shape-selective responses remained stable across changes in light angle and surface appearance. Neural patterns were consistent under both blue and orange lighting. The decoding accuracy achieves above 70%, suggesting stable responses under different conditions (e.g., different lighting angles or surface appearance). ConclusionNeurons in the pigeon MVL maintain a consistent neural encoding pattern for different stereoscopic shapes, unaffected by illumination or surface appearance. This ensures stable object recognition by pigeons in changing visual environments. Our findings provide new physiological evidence for understanding how birds achieve stable perception (“invariant neural representations”) while coping with variations in the visual field.

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

Lung cancer has the highest incidence and mortality among malignant tumors in China.Persistent subsolid nodules(SSNs)are closely associated with early-stage lung adenocarcinoma.Artificial intelligence(AI),as an emerging technology,is capable of performing in-depth analysis of large-scale imaging data through autonomous learning and possesses the ability to predict outcomes from new data,demonstrating great potential and application prospects in the assessment of SSNs.AI can not only effectively assist radiologists in diagnosis and treatment,but also improve work efficiency while reducing misdiagnosis and missed diagnosis rates.This review summarizes the recent applications and research progress of AI in the assessment of SSNs,to provide new insights for the diagnosis and treatment of SSNs.

Objective To investigate the potential mechanism of action of polygonatum odoratum in treating Alzheimer's disease through the utilization of network pharmacology and molecular docking techniques.Methods The methods employed include target screening,Gene Ontology(GO)function and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis,and molecular docking simulations to assess the binding interactions between the active compounds in polygonatum odoratum(POD)and the key target proteins associated with Alzheimer's disease.Subsequently,lipopolysaccharide(LPS)was used to induce an inflammatory cell model in BV2 microglial cells.After treating the cell model with POD extract for 24 hours,the cells were collected,and the expression of the target genes were detected by Real-time PCR.Results Eight active ingredients and 172 targets of POD were screened.The biological processes such as protein phosphorylation and signal transduction,protein binding and ATP binding were obtained by GO functional analysis.KEGG enrichment yielded PI3K/Akt,cAMP and other signaling pathways.The molecular docking result showed that the active ingredient of POD had well binding activity with epidermal growth factor receptor(EGFR),proto-oncogene tyrosine-protein kinase Src(SRC),tumor necrosis factor(TNF),STAT3.Through Real-time PCR experiments,the gene expressions of inducible nitric oxide synthase(iNOS),prostaglandin G/H synthase 2(PTGS2),interleukin(IL)-6,and IL-1β in the LPS-induced inflammatory cell model were significantly upregulated.After treating the inflammatory model with POD extract for 24 hours,the expression of TNF-α was significantly reduced,the expression of STAT3 was upregulated,there were no significant changes in the expressions of SRC and EGFR.Conclusion Network pharmacology suggests polygonatum odoratum's potential anti-Alzheimer's effects may be mediated through its interaction with targets such as EGFR,TNF,SRC,and STAT3.The experimental results suggest that polygonatum odoratum exerts an anti-inflammatory effect by acting on TNF-α,which may further alleviate the symptoms of Alzheimer's disease.

Hepatocellular carcinoma(HCC)expresses abundant glycolytic enzymes and displays comprehensive glucose metabolism reprogramming.Aldolase A(ALDOA)plays a prominent role in glycolysis;however,little is known about its role in HCC development.In the present study,we aim to explore how ALDOA is involved in HCC proliferation.HCC proliferation was markedly suppressed both in vitro and in vivo following ALDOA knockout,which is consistent with ALDOA overexpression encouraging HCC prolifera-tion.Mechanistically,ALDOA knockout partially limits the glycolytic flux in HCC cells.Meanwhile,ALDOA translocated to nuclei and directly interacted with c-Jun to facilitate its Thr93 phosphorylation by P21-activated protein kinase;ALDOA knockout markedly diminished c-Jun Thr93 phosphorylation and then dampened c-Jun transcription function.A crucial site Y364 mutation in ALDOA disrupted its interaction with c-Jun,and Y364S ALDOA expression failed to rescue cell proliferation in ALDOA deletion cells.In HCC patients,the expression level of ALDOA was correlated with the phosphorylation level of c-Jun(Thr93)and poor prognosis.Remarkably,hepatic ALDOA was significantly upregulated in the promotion and progression stages of diethylnitrosamine-induced HCC models,and the knockdown of Aldoa strikingly decreased HCC development in vivo.Our study demonstrated that ALDOA is a vital driver for HCC development by activating c-Jun-mediated oncogene transcription,opening additional avenues for anti-cancer therapies.

Identifying drug-drug interactions(DDIs)is essential to prevent adverse effects from polypharmacy.Although deep learning has advanced DDI identification,the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits.Here,we developed a Multi-Dimensional Feature Fusion model named MDFF,which integrates one-dimensional simplified molec-ular input line entry system sequence features,two-dimensional molecular graph features,and three-dimensional geometric features to enhance drug representations for predicting DDIs.MDFF was trained and validated on two DDI datasets,evaluated across three distinct scenarios,and compared with advanced DDI prediction models using accuracy,precision,recall,area under the curve,and F1 score metrics.MDFF achieved state-of-the-art performance across all metrics.Ablation experiments showed that integrating multi-dimensional drug features yielded the best results.More importantly,we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs.Among 12 real-world adverse drug reaction reports,the predictions of 9 reports were supported by relevant evidence.Additionally,MDFF demon-strated the ability to explain adverse DDI mechanisms,providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.