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.

BACKGROUND:We have successfully established an animal model of small ear pig in southern Yunnan province with internal tension relieving technique combined with autologous Achilles tendon for anterior cruciate ligament reconstruction,and verified the stability and reliability of the model.However,whether internal tension relieving technique can promote the ligamentalization process of autologous Achilles tendon graft has not been studied. OBJECTIVE:To investigate the differences in the process of ligamentalization between conventional reconstruction and internal reduction reconstruction of the anterior cruciate ligament by gross view,histology and electron microscopy. METHODS:Thirty adult female small ear pigs in southern Yunnan province were selected.Anterior cruciate ligament reconstruction was performed on the left knee joint with the ipsilateral knee Achilles tendon(n=30 in the normal group),and anterior cruciate ligament reconstruction was performed on the right knee joint with the ipsilateral knee Achilles tendon combined with the internal relaxation and enhancement system(n=30 in the relaxation group).The autogenous right forelimb was used as the control group;the anterior cruciate ligament was exposed but not severed or surgically treated.At 12,24,and 48 weeks after surgery,10 animals were sacrificed,respectively.The left and right knee joint specimens were taken for gross morphological observation to evaluate the graft morphology.MAS score was used to evaluate the excellent and good rate of the ligament at each time point.Hematoxylin-eosin staining was used to evaluate the degree of ligament graft vascularization.Collagen fibers and nuclear morphology were observed,and nuclear morphology was scored.Ultrastructural remodeling was evaluated by scanning electron microscopy and transmission electron microscopy. RESULTS AND CONCLUSION:(1)The ligament healing shape of the relaxation group was better at various time points after surgery,and the excellent and good rate of MAS score was higher(P<0.05).Moreover,the relaxation group could obtain higher ligament vascularization score(P<0.05).(2)The arrangement of collagen bundles and fiber bundles in the two groups gradually tended to be orderly,and the transverse fiber connections between collagen gradually increased and thickened,suggesting that the strength and shape degree of the grafts were gradually improved,but the ligament remodeling in the relaxation group was always faster than that in the normal group at various time points after surgery.(3)The diameter,distribution density,and arrangement degree of collagen fibers in the relaxation group were better than those in the normal group at all time points,especially in the comparison of collagen fiber diameter between and within the relaxation group(P<0.05).

Cervical cancer is one of the most common gynecological malignant tumors in China. Given their lack of obviously early symptoms, more than half of patients with cervical cancer are diagnosed in the middle and late stages of this malignancy, resulting in poor prognosis. Finding new therapeutic targets is the current research direction. Metabolomics, as a new omics technology, is expected to provide new targets for tumor precision diagnosis and treatment through the analysis of the changes and potential mechanisms of metabolites in tumor occurrence and development by chromatography, mass spectrometry, and other technologies. Herein, we review the research methods of metabolomics; metabolic characteristics of cervical cancer; and progress of the research on metabolomics in cervical cancer diagnosis, curative effect prediction, and prognosis evaluation to provide new ideas for the precise diagnosis and treatment of cervical cancer.

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.

Due to its high sensitivity and non-destructive nature, Raman spectroscopy has become an essential analytical tool in biopharmaceutical analysis and drug development. Despite of the computational demands, data requirements, or ethical considerations, artificial intelligence (AI) and particularly deep learning algorithms has further advanced Raman spectroscopy by enhancing data processing, feature extraction, and model optimization, which not only improves the accuracy and efficiency of Raman spectroscopy detection, but also greatly expands its range of application. AI-guided Raman spectroscopy has numerous applications in biomedicine, including characterizing drug structures, analyzing drug forms, controlling drug quality, identifying components, and studying drug-biomolecule interactions. AI-guided Raman spectroscopy has also revolutionized biomedical research and clinical diagnostics, particularly in disease early diagnosis and treatment optimization. Therefore, AI methods are crucial to advancing Raman spectroscopy in biopharmaceutical research and clinical diagnostics, offering new perspectives and tools for disease treatment and pharmaceutical process control. In summary, integrating AI and Raman spectroscopy in biomedicine has significantly improved analytical capabilities, offering innovative approaches for research and clinical applications.

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

Objective To investigate the effect of liquid-liquid phase separation(LLPS)of YTH domain family protein 2(YTHDF2)on the sodium arsenite-induced malignant transformation of skin cells,providing a new intervention target for the prevention and control of sodium arsenite-induced carcinogenesis.Methods The HaCaT cell model of malignant transformation was constructed by continuous treatment with 1 μmol/L sodium arsenite for 22 weeks,including cells with normal YTHDF2 LLPS(YTHDF2-wt)and cells with inhibited YTHDF2 LLPS(YTHDF2-mut).Confocal microscopy was employed to observe and characterize the LLPS droplets formed by YTHDF2 during sodium arsenite-induced malignant transformation of skin cells.Cell proliferation,scratch healing,and colony formation assays were performed to detect malignant phenotypes.Western blotting,quantitative reverse transcription PCR,and immunofluorescence experiments were conducted to examine the effects of YTHDF2 LLPS on the mRNA and protein levels of phosphatase and tensin homolog deleted on chromosome ten(PTEN)during sodium arsenite-induced malignant transformation of skin cells.Results After 4 weeks of sodium arsenite treatment,LLPS droplets of YTHDF2 appeared in YTHDF2-wt cells,and the number of droplets gradually increased as the treatment time was prolonged(F=35.252,P<0.001),while no phase-separated droplets were observed in YTHDF2-mut cells.Compared with YTHDF2-mut cells,YTHDF2-wt cells showed enhanced proliferation at the time points of 48 h(t=3.654,P=0.006)and 72 h(t=5.458,P<0.001)after 22 weeks of sodium arsenite treatment.The scratch healing rate of YTHDF2-wt cells was increased at the 8th(t=12.137,P<0.001)and 22th(t=4.484,P=0.011)weeks of sodium arsenite treatment.The number of colonies formed by YTHDF2-wt cells was higher at the 4th(t=3.365,P=0.027),8th(t=5.580,P=0.005),and 22th(t=3.328,P=0.029)weeks of sodium arsenite treatment.Compared with YTHDF2-mut cells,YTHDF2-wt cells showed down-regulated protein(t=-3.119,P=0.036)and mRNA(t=4.051,P=0.015) levels of PTEN after 22 weeks of sodium arsenite treatment.Immunofluorescence results showed that after 4 weeks of sodium arsenite treatment,YTHDF2 LLPS droplets in YTHDF2-wt cells were localized to stress granules,translation-related membrane-less organelles.Conclusions During sodium arsenite-induced malignant transformation of skin cells,YTHDF2 undergoes LLPS and localizes to stress granules,translation-related membrane-less organelles.YTHDF2 LLPS participates in sodium arsenite-induced malignant transformation of skin cells by down-regulating the mRNA level of the key tumor suppressor PTEN.
Arsenites/toxicity* ; Sodium Compounds/toxicity* ; Humans ; Cell Transformation, Neoplastic/drug effects* ; PTEN Phosphohydrolase/metabolism* ; Cell Proliferation ; Skin/cytology* ; RNA-Binding Proteins ; Skin Neoplasms/chemically induced* ; Cell Line

ObjectiveTo investigate the application of the novel inflammatory factor adsorption column CA280 combined with low-dose plasma exchange （LPE） in patients with acute-on-chronic liver failure （ACLF）. MethodsA prospective cohort study was designed， and a total of 93 ACLF patients who were admitted to The Ninth Hospital of Nanchang from June 2023 to January 2025 were enrolled and randomly divided into DPMAS+LPE group with 50 patients and CA280+LPE group with 43 patients. In addition to comprehensive medical treatment， the patients in the DPMAS+LPE group received DPMAS and LPE treatment， and those in the CA280+LPE group received CA280 and LPE treatment. The two groups were observed in terms of routine blood test results， liver function parameters， renal function markers， electrolytes， coagulation function parameters， cytokines， adverse events， and 28-day prognosis before surgery （baseline）， during surgery （DPMAS or CA280）， and after surgery （after sequential LPE treatment）. The paired t-test was used for comparison of normally distributed continuous data before and after treatment within each group， and the independent-samples t test was used for comparison between groups； the Wilcoxon signed-rank test was used for comparison of non-normally distributed continuous data before and after treatment within each group， and the Mann-Whitney U test was used for comparison between groups. The chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups， and the Spearman test was used for correlation analysis. ResultsAfter CA280 treatment， the ACLF patients had significant reductions in the levels of cytokines （IL-6， IL-8， IL-10， TNF-α， and IFN-γ）， liver function parameters （ALT， AST， ALP， TBil， DBil， Alb， and glutathione reductase）， and the renal function marker urea nitrogen （all P<0.05）， and in terms of coagulation function parameters， there were significant increases in prothrombin time， activated partial thromboplastin time （APTT）， thrombin time， and international normalized ratio （INR） and significant reductions in prothrombin activity （PTA） and fibrinogen （FIB） （all P<0.05）. Compared with the DPMAS+LPE group， the CA280+LPE group showed better improvements in the serum cytokines IL-8 （Z=-2.63， P=0.009）， IL-10 （Z=-3.94， P<0.001）， and TNF-α （Z=-1.53， P=0.023）， and the two artificial liver support systems had a similar effect in improving liver function （ALT， AST， GGT， GR， TBil， and DBil） （all P >0.05）， but the CA280+LPE group showed a significantly greater reduction in Alb （Z=-2.08， P=0.037）. CA280+LPE was more effective in reducing uric acid （Z=-2.97， P=0.003）. Compared with DPMAS+LPE， CA280+LPE treatment resulted in a significant reduction in INR （Z=-4.01， P<0.001）， a significant increase in APTT （Z=-2.53， P=0.011）， and significant greater increases in PTA （Z=-6.28， P<0.001） and FIB （Z=-3.93， P<0.001）. There were no significant differences in the incidence rates of adverse reactions and the rate of improvement at discharge between the two groups （all P>0.05）. The Spearman correlation analysis showed that IL-6 was significantly correlated with WBC （r=0.22， P=0.042）， TBil （r=0.29， P=0.005）， and FIB （r=-0.33， P=0.003）； IL-8 was positively correlated with APTT （r=0.37， P<0.001） and INR （r=0.25， P=0.013）； TNF-α was significantly correlated with WBC （r=0.40， P<0.001） and TBil （r=0.34， P<0.001）. ConclusionCompared with DPMAS， CA280 combined with LPE can effectively clear proinflammatory cytokines and improve liver function in ACLF patients， but it has a certain impact on Alb and coagulation function. This regimen provides a new option for the individualized treatment of ACLF and can improve the short-term prognosis of patients， but further studies are needed to verify its long-term efficacy.

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.