Objective To investigate the significance of modified Seoul National University Renal Stone Complexity score (S-ReSC), renal stone complexity score (R.I.R.S.), and Clinical Research Office of the Endourological Society Nephrolithometric Nomogram (CROES) score in predicting the stone-clearance rate (SFR) after ureteroscopy combined with flexible negative pressure suction sheath in the treatment of kidney stones. Methods A total of 200 patients with kidney stones treated in our hospital during Dec.2022 and Apr.2024 were selected.According to abdominal CT evaluation 1 month after surgery, the patients were divided into the residual group (n=38) and the non-residual group (n=162).The relationship between the scores was assessed with Pearson correlation, the independent risk factors were identified with binary logistic regression, the predictive efficacy was evaluated with the receiver operating characteristic (ROC) curves, and the difference in the area under the ROC curves (AUCs) was compared with the Delong test. Results Compared with the non-residual group, the residual group had significantly higher modified S-ReSC and R.I.R.S., but significantly lower CROES score (P＜0.05). Modified S-ReSC was positively correlated with R.I.R.S. (P＜0.05), while CROES score was negatively correlated with S-ReSC and R.I.R.S.Staghorn stones, maximum stone diameter, elevated CT values, increased S-ReSC and R.I.R.S., and decreased CROES score were independent risk factors for postoperative stone residual (P＜0.05).ROC curves showed the optimal AUC of R.I.R.S.was 0.855, and the optimal AUC of combined prediction was 0.950.Conclusion The R.I.R.S.has the best efficacy in predicting postoperative stone residual, especially for complex stones.The combination of stone characteristics and the three scoring systems can improve the prediction efficiency, and provide reference for preoperative evaluation and individualized treatment.

OBJECTIVE To predict and verify the mechanism of Jiawei qifang weitong granule in ameliorating precancerous lesions of gastric cancer （PLGC）. METHODS Transcriptomic data of PLGC-related were obtained from the GEO database to screen differentially expressed genes and conduct functional enrichment analysis. Targets related to gastric mucosal injury repair were screened via the GeneCards database. The active ingredient targets of Jiawei qifang weitong granule were predicted using the TCMSP and other databases. The intersection of differentially expressed genes， gastric mucosal repair targets and active ingredient targets was extracted. A protein-protein interaction network was constructed based on the STRING database， and the top 6 hub target genes with the highest connectivity were screened. A PLGC rat model was established by combining 1-methyl-3-nitro-1-nitrosoguanidine with alternating fasting and full feeding. Model rats were divided into model group， weifuchun group （positive control， 0.40 g/kg）， low-， medium- and high-dose Jiawei qifang weitong granule groups （9.73， 19.44， 38.90 g/kg）， with 10 rats in each group. Another 10 unmodeled rats were set as control group. Rats in each group were intragastrically administered corresponding liquid medicine or normal saline once a day for 30 consecutive days. After the last administration， pathological morphological changes of rat gastric tissues were observed， and the mRNA expression levels of hub target genes as well as partial protein expression levels in gastric tissues were detected. RESULTS Transcriptomics and network pharmacology analyses revealed that the top 6 hub target genes ranked by connectivity included MMP9 （matrix metalloproteinase 9）， BCL2（B-cell lymphoma 2）， IL10（interleukin 10），ICAM1（intercellular adhesion molecule 1）， PTGS2 （prostaglandin-endoperoxide synthase 2）， and HIF1A （hypoxia-inducible factor 1α subunit）. Animal experiments showed that compared with the model group， gastric mucosal pathological injury was significantly alleviated in medium- and high-dose Jiawei qifang weitong granule groups and weifuchun group. The pathological injury score of gastric mucosa， the mRNA expression levels of MMP9， PTGS2， ICAM1， BCL2 and HIF1A， as well as the protein expression levels of PTGS2 and BCL2 in gastric tissues were significantly decreased （P＜0.05）， while the mRNA expression level of IL10 was significantly increased （P＜0.05）. CONCLUSIONS Jiawei qifang weitong granule may ameliorate PLGC by targeted down-regulating the mRNA expression of MMP9， PTGS2， ICAM1， BCL2 and HIF1A， up-regulating IL10 mRNA expression， and regulating the imbalance between gastric mucosal inflammatory response and injury repair.

Tissue repair requires the reconstruction of functional vascular networks to restore oxygen and nutrient delivery, eliminate metabolic waste, and maintain tissue homeostasis. Although biochemical factors such as growth factors and cytokines have been extensively studied in vascular regeneration, increasing evidence indicates that mechanical signals from the extracellular matrix (ECM) are equally important regulators of angiogenesis. Matrix stiffness, as a major biomechanical property of the tissue microenvironment, provides critical information that influences endothelial cell (EC) behavior and vascular remodeling through mechanotransduction. However, the biological effects of matrix stiffness are not universally defined as either pro- or anti-angiogenic, but are highly dependent on tissue context, cellular composition, disease progression, and the dynamic changes occurring during tissue repair. Therefore, understanding how matrix stiffness regulates vascular regeneration is essential for developing more precise strategies for tissue engineering and regenerative medicine. In this review, we summarize recent advances in the regulation of angiogenesis by matrix stiffness during tissue repair from multiple perspectives. First, we discuss the direct effects of matrix stiffness on EC behaviors, including differentiation, morphological remodeling, migration, proliferation, barrier maintenance, and vascular network formation. ECs sense mechanical alterations in the surrounding matrix through various mechanosensitive structures, including integrins, focal adhesion complexes, and mechanosensitive ion channels such as Piezo1 and TRPV proteins. These mechanical signals are subsequently transmitted through intracellular pathways involving FAK, RhoA/ROCK, MAPK, and Hippo-YAP/TAZ signaling, leading to cytoskeletal reorganization and transcriptional regulation. Through these mechanisms, matrix stiffness regulates endothelial functional states and determines the balance between regenerative vascular formation and pathological vascular remodeling. Beyond the direct regulation of ECs, we further highlight the importance of stiffness-mediated intercellular communication within the regenerative microenvironment. Matrix stiffness can regulate the behavior and secretory profiles of vascular-associated cells, including mesenchymal stem cells and macrophages, thereby indirectly affecting endothelial function through paracrine mechanisms. Changes in matrix mechanics influence the secretion of angiogenic factors, inflammatory cytokines, and extracellular vesicles from these cells, creating a mechanical regulation network that coordinates vascular regeneration. This perspective extends the traditional concept of matrix stiffness from a physical support structure to an active regulatory signal that integrates multiple cellular responses during tissue repair. Furthermore, we discuss the tissue-specific effects of matrix stiffness in vascular regeneration across different organs, including the aorta, lung, liver, and heart. Although excessive matrix stiffening is frequently associated with fibrosis and vascular dysfunction, the consequences of mechanical changes vary considerably among tissues. Moderate stiffness alterations may support endothelial activation and vascular stabilization in certain regenerative contexts, whereas persistent pathological stiffening can promote inflammation, endothelial dysfunction, and impaired vascular repair. These findings emphasize that the biological meaning of “soft” and “stiff” microenvironments should be interpreted according to specific tissue and experimental conditions rather than as universal mechanical classifications. Finally, we summarize current challenges and future perspectives in this field. A major limitation is the lack of standardized mechanical characterization among different studies, as stiffness measurements are influenced by material properties, testing methods, and experimental conditions, limiting direct comparison across research systems. Moreover, most existing models fail to fully reproduce the dynamic and viscoelastic properties of native ECM during tissue regeneration. Future studies should combine advanced biomaterials with standardized mechanical analysis, organoid models, and multi-omics approaches to establish more accurate mechanical regulatory maps. Overall, this review proposes that matrix stiffness is not merely a structural feature of tissues, but an active biological signal that regulates vascular regeneration through coordinated mechanotransduction and multicellular interactions. A deeper understanding of stiffness-mediated vascular regulation will provide new theoretical insights and therapeutic opportunities for improving tissue repair outcomes.

Objective To explore the impact of interactions among serum CD19+,interleukin-4(IL-4),and Epstein-Barr virus(EBV)DNA load on the occurrence of pediatric infectious mononu-cleosis(IM).Methods A total of 100 IM pediatric patients were enrolled as study group,and 200 healthy pediatric controls were recruited during the same period.Baseline characteristics,EBV-DNA load,CD19+levels,and IL-4 expression were compared between the two groups.A multivariate Lo-gistic regression model was used to analyze the influencing factors of IM.The interactions between EBV-DNA load and CD19+,IL-4 were analyzed based on an additive model.Receiver operating characteristic(ROC)curves were plotted to assess the diagnostic performance of EBV-DNA load,CD19+,IL-4 alone and their combination for IM.Results Significant differences were observed be-tween the two groups in terms of EBV-DNA load,CD19+levels,IL-4 expression,neutrophil-to-lym-phocyte ratio(NLR),monocyte-to-lymphocyte ratio(MLR),red cell distribution width(RDW),atypical lymphocyte ratio,and VCA-IgM positivity(P＜0.05).Multivariate Logistic regression anal-ysis revealed that EBV-DNA load,CD19+,IL-4,RDW,atypical lymphocyte ratio,and VCA-IgM positivity were independent influencing factors for IM occurrence(P＜0.05).Additive interaction analysis showed that when EBV-DNA load and IL-4 were simultaneously exposed,the relative excess risk due to interaction(RERI)was 63.888,the attributable proportion due to interaction(API)was 77.312,and the synergy index(S)was 4.532;when EBV-DNA load and CD19+were simul-taneously exposed,RERI was 2.655,API was 16.773,and S was 1.210.ROC curve analysis indi-cated that the area under the curve(AUC)for the combined diagnosis of IM using EBV-DNA load,CD19+,and IL-4 was 0.945,which was superior to that of single indicator and dual combination.Conclusion Serum CD19+,IL-4,and EBV-DNA load exhibit additive interactions in the occur-rence of IM,and simultaneous exposure increases the risk of IM.Combined detection of these bio-markers enhances the diagnostic performance for IM,providing a reference for clinical diagnosis and treatment.

Objective:To develop a formula correlating body weight and the insertion length of peripherally inserted central catheters (PICC) in very low birth weight infants (VLBWI) undergoing lower limb PICC placement, aiming to improve the success rate of one-time catheter placement.Methods:A prospective research method was adopted, 205 VLBWI patients who were hospitalized in the NICU of Shenzhen Maternal and Child Health Hospital from May 2023 to February 2024 and had indwelling PICC in the lower extremities were selected as the research subjects using the convenience sampling method. Data including gender, insertion vein, body weight on the day of catheterization, and the vertical distance from the puncture site to the first popliteal crease were collected. Pearson correlation analysis and linear regression analysis were used to construct a predictive formula for estimating the insertion length of PICC based on body weight. The Bland-Altman plot was applied to evaluate the consistency between the predicted insertion depth using the formula and the actual correct insertion length.Results:A total of 182 VLBWI were included in the study, comprising 102 male infants and 80 female infants. The catheterization sites were the right lower extremity in 166 cases and the left lower extremity in 16 cases. The body weight was (1.08 ± 0.26) kg. The vertical distance from the puncture site to the first popliteal crease was (5.58 ± 1.72) cm. The prediction formula for the length of lower extremity PICC catheterization was constructed through linear regression analysis: PICC insertion length = 8.013 + [5.194×body weight (kg)] ± vertical distance from the puncture site to the popliteal crease (cm). Consistency evaluation showed good agreement between the predicted insertion depth and the actual correct insertion length, with 95% of the measurement differences falling within the limits of agreement. The mean difference was 0.07 cm ( P > 0.05). Conclusions:The weight-based formula derived for VLBWI provides a basis for predicting the optimal insertion length of PICC in clinical practice.

Objective A scoping review was conducted on relevant studies regarding the use of non-invasive brain-computer interface(BCI)technology to promote the rehabilitation of upper limb function in stroke patients,aiming to provide new ideas and references for the rehabilitation nursing of stroke patients.Methods Relevant studies on non-invasive BCI in upper limb functional rehabilitation of stroke patients were searched through computer system including Chinese biomedical literature database,Wanfang database,CNKI,VIP database,Cochrane Library,PubMed,Embase and Web of Science.The search period was from the establishment of the database to December 6,2024,and the included literature was sorted and analyzed.Results A total of 23 articles were included,involving 1 235 stroke patients.Non-invasive brain-computer interface technology mainly includes brain-computer interface based on motion imagination combined with virtual reality technology,functional electrical stimulation and exoskeleton robot.The main evaluation indexes were Fugl-Meyer upper extremity partial scale,modified Barthel index,event related desynchronization intensity,upper limb motor function rating scale,etc.Non-invasive brain-computer interface technology can improve upper limb function,self-care ability and stimulation of cerebral cortex in stroke patients.Conclusion Non-invasive brain-computer interface technology is feasible and effective in upper limb functional rehabilitation training of stroke patients,but there are few relevant studies.In the future,a new era multidisciplinary rehabilitation model can be built,and scientific and practical evaluation indicators were formulated to promote rapid rehabilitation of stroke patients.

Objective:To evaluate the quality of life in patients with psoriasis across varying levels of psychological resilience.Methods:A cross-sectional study was conducted, employing a convenient sampling method to recruit 390 psoriasis patients from Beijing University of Chinese Medicine Dongzhimen Hospital from February to August 2023. The sample included 57 male and 333 female patients, with a mean age of (24.9±5.4) years. Participants were guided through questionnaire completion using a standardized protocol by trained investigators. Patients were stratified into three groups based on the Connor-Davidson Resilience Scale (CD-RISC-10): low ( n=53), moderate ( n=251), and high ( n=86) psychological resilience. The dermatology life quality index (DLQI) was utilized to assess quality of life across six domains: symptom perception, daily activities, leisure and recreation, work and study, interpersonal relationships, and treatment. Results:The total scores for the DLQI among psoriasis patients with low, moderate, and high psychological resilience were 10.05 (6.75, 15.00), 7.00 (4.00, 11.00), and 5.00 (2.00, 10.00), respectively. Symptom perception scores were 3.00 (2.00, 4.00), 2.00 (2.00, 4.00), and 2.00 (1.00, 3.00), respectively. Scores for daily activities were 2.00 (2.00, 4.00), 1.00 (1.00, 2.00), and 1.00 (0.00, 2.00), respectively. Leisure and recreation scores were 2.00 (1.00, 3.00), 1.00 (0.00, 3.00), and 1.00 (0.00, 2.00), respectively. Work and study scores were 1.00 (0.00, 3.00), 0.00 (0.00, 1.00), and 0.00 (0.00, 1.00), respectively. Interpersonal relationship scores were 1.00 (0.00, 2.00), 0.00 (0.00, 1.00), and 0.00 (0.00, 1.00), respectively. Treatment scores were 1.00 (0.00, 1.25), 0.00 (0.00, 1.00), and 0.00 (0.00, 1.00), respectively. Statistically significant differences were observed in the total DLQI scores and individual item scores among the three groups (all P<0.05), with patients exhibiting high psychological resilience demonstrating superior quality of life. Conclusion:This study demonstrates statistically significant differences in the quality of life among psoriasis patients with varying psychological resilience levels, and those exhibiting higher resilience demonstrate superior quality of life.

Accurate prediction of drug-target interactions (DTIs) plays a pivotal role in drug discovery, facilitating optimization of lead compounds, drug repurposing and elucidation of drug side effects. However, traditional DTI prediction methods are often limited by incomplete biological data and insufficient representation of protein features. In this study, we proposed KG-CNNDTI, a novel knowledge graph-enhanced framework for DTI prediction, which integrates heterogeneous biological information to improve model generalizability and predictive performance. The proposed model utilized protein embeddings derived from a biomedical knowledge graph via the Node2Vec algorithm, which were further enriched with contextualized sequence representations obtained from ProteinBERT. For compound representation, multiple molecular fingerprint schemes alongside the Uni-Mol pre-trained model were evaluated. The fused representations served as inputs to both classical machine learning models and a convolutional neural network-based predictor. Experimental evaluations across benchmark datasets demonstrated that KG-CNNDTI achieved superior performance compared to state-of-the-art methods, particularly in terms of Precision, Recall, F1-Score and area under the precision-recall curve (AUPR). Ablation analysis highlighted the substantial contribution of knowledge graph-derived features. Moreover, KG-CNNDTI was employed for virtual screening of natural products against Alzheimer's disease, resulting in 40 candidate compounds. 5 were supported by literature evidence, among which 3 were further validated in vitro assays.
Alzheimer Disease/drug therapy* ; Biological Products/therapeutic use* ; Humans ; Neural Networks, Computer ; Machine Learning ; Drug Discovery/methods* ; Algorithms ; Drug Evaluation, Preclinical/methods*

OBJECTIVE: Poxviruses are zoonotic pathogens that infect humans, mammals, vertebrates, and arthropods. However, the specific role of ticks in transmission and evolution of these viruses remains unclear. METHODS: Transcriptomic and metatranscriptomic raw data from 329 sampling pools of seven tick species across five continents were mined to assess the diversity and abundance of poxviruses. Chordopoxviral sequences were assembled and subjected to phylogenetic analysis to trace the origins of the unblasted fragments within these sequences. RESULTS: Fifty-eight poxvirus species, representing two subfamilies and 20 genera, were identified, with 212 poxviral sequences assembled. A substantial proportion of AT-rich fragments were detected in the assembled poxviral genomes. These genomic sequences contained fragments originating from rodents, archaea, and arthropods. CONCLUSION Our findings indicate that ticks play a significant role in the transmission and evolution of poxviruses. These viruses demonstrate the capacity to modulate virulence and adaptability through horizontal gene transfer, gene recombination, and gene mutations, thereby promoting co-existence and co-evolution with their hosts. This study advances understanding of the ecological dynamics of poxvirus transmission and evolution and highlights the potential role of ticks as vectors and vessels in these processes.
Animals ; Poxviridae/physiology* ; Ticks/virology* ; Phylogeny ; Transcriptome ; Evolution, Molecular ; Poxviridae Infections/virology* ; Genome, Viral

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.