Objective: To investigate the factors influencing intraoperative blood transfusion in patients with hip fractures and to develop a machine learning (ML) model for predicting this risk. Methods: A total of 424 patients with hip fractures who underwent surgical treatment between November 2022 and March 2025 in our hospital were selected. Key feature variables of intraoperative blood transfusion risk were identified using the Boruta algorithm. Four different ML algorithms—support vector machine (SVM), linear discriminant analysis (LDA), mixed discriminant analysis (MDA), and extreme gradient boosting (XGBoost)—were used to develop predictive models for intraoperative blood transfusion risk. The predictive performance of the four ML models were evaluated using accuracy, precision, receiver operating characteristic (ROC) curves, precision-recall curves (PRC), precision-recall gain curves (PRGC), and F1 scores. Shapley additive interpretation (SHAP) was used to interpret the final model. Results: Among the 424 patients, 77(18.2%) received intraoperative blood transfusion. The Boruta algorithm identified albumin (ALB), activated partial thromboplastin time (APTT), types of anesthesia, types of fracture, and hemoglobin (Hb) as key feature variables for predicting intraoperative blood transfusion risk. In model evaluation, the SVM model outperforms the other three models across multiple metrics, including the area under the receiver operating characteristic curve (AUC), recall, recall gain, accuracy, precision, F1 score, and the area under the precision-recall curve (PRC-AUC). The SVM model, interpreted and visualized based on SHAP values, effectively predicted intraoperative blood transfusion risk in patients with hip fracture. A visual online application was developed based on the SVM model (https://pbo-nomogram.shinyapps.io/blood/). Conclusion: Preoperative low ALB and Hb levels, prolonged APTT, general anesthesia, and intertrochanteric fractures are risk factors for intraoperative blood transfusion in hip fracture patients. The risk prediction model for intraoperative blood transfusion constructed based on the SVM algorithm has optimal performance, which provides new ideas and methods for the clinical early identification of hip fracture patients with high transfusion risk and the implementation of targeted interventions.

Inteins are unique protein insertion sequences capable of self-excision, enabling the covalent ligation of flanking extein peptides via amide bond formation. This process proceeds spontaneously without requiring external enzymes, cofactors, or chemical reagents, granting inteins exceptional biocompatibility and traceless performance in protein engineering applications. Split inteins represent a specialized and versatile subclass whose splicing domains are encoded by two separate gene fragments rather than a single continuous open reading frame. These fragments, known as the N-terminal (IntN) and C-terminal (IntC) split inteins, associate through non-covalent interactions including hydrophobic forces, hydrogen bonds, and van der Waals forces to assemble into an active three-dimensional structure, which then drives efficient extein ligation and enables protein trans-splicing. Protein trans-splicing mediated by split inteins has become a cornerstone for traceless protein ligation owing to its high specificity and irreversibility, fundamentally reshaping strategies for protein modification, assembly, and functional regulation. Compared with traditional chemical ligation methods, split intein systems require no complex chemical derivatization of peptide fragments and can operate efficiently at micromolar concentrations under physiological conditions, thus avoiding structural and functional damage caused by organic reagents. In contrast to enzymatic ligation tools such as sortase, split inteins eliminate the need for additional enzymes or cofactors, simplifying reaction systems, reducing costs, and minimizing non-specific side products. These distinctive advantages render split inteins highly promising for applications in chemical biology, synthetic biology, and biopharmaceutical development. In recent years, deepened mechanistic understanding has established structure-guided rational design as the primary approach to overcoming key limitations of split inteins, including intrinsic aggregation propensity, strict extein sequence dependence, and limited splicing efficiency. Bioinformatic tools have been used to identify aggregation-prone regions in the IntN fragment, and site-directed mutagenesis of hydrophobic residues, relocation of split sites, or removal of misfolding-prone sequences has substantially reduced in vitro aggregation and improved soluble expression and assembly activity. Rational engineering of catalytic residues and adjacent flexible loops has relaxed strict amino acid preferences at extein junctions, enhancing sequence tolerance and reducing the risk of functional impairment in target proteins. Consensus design based on multiple sequence alignments has yielded ultra-fast splicing variants such as Cfa DnaE and Cat-TerL, which exhibit significantly accelerated kinetics and improved tolerance to denaturing conditions. Meanwhile, advances in structural biology have further clarified the conformational dynamics and catalytic mechanisms of splicing, supporting the precise design of high-performance intein modules. On this basis, electrostatic interaction tuning and metagenomic screening have yielded multiple mutually orthogonal split intein pairs, enabling selective multi-fragment protein ligation and providing new routes for the efficient synthesis of large multi-domain functional proteins. With these engineered split inteins offering continuously improved performance and expanded applicability, protein trans-splicing has been widely applied in numerous cutting-edge areas of protein research and biomedicine. In gene delivery, split intein-based systems overcome the packaging limit of adeno-associated viral vectors, enabling the accurate reconstitution of large therapeutic proteins and base editors in target cells, thereby enhancing the efficacy and scope of gene therapy for genetic diseases. In internal protein sequence editing, split inteins mediate precise sequence replacement and modification in flexible regions or loops of target proteins, without the need for complex multi-step ligation and protein refolding involved in traditional protein semisynthesis. In protein-protein interaction studies, intein-mediated splicing covalently captures transient and weak intracellular complexes, enabling sensitive, high-throughput interaction detection and drug screening. In synthetic biology, conditionally controllable splicing systems support the construction of diverse intracellular and cell-surface biological logic gates for the precise regulation of cellular behavior. In mechanistic biochemical research, split inteins enable photocatalytic proximity labeling and site-specific tagging, allowing the preparation of homogeneous protein samples carrying precise post-translational modifications such as ubiquitination and polyglutamylation for chromatin interactome analysis and epigenetic studies. Moreover, covalent trapping strategies using split inteins stabilize transient enzymatic intermediates, providing unprecedented insights into molecular mechanisms such as nucleosome ubiquitination that are difficult to elucidate using conventional methods. This review systematically summarizes key technological advances in split inteins over the past decade, highlighting engineering strategies, mechanistic insights, and the development of orthogonal components. It comprehensively surveys emerging applications at the frontiers of protein research, analyzes current core challenges, and proposes future directions, particularly emphasizing artificial intelligence-driven de novo design and novel splicing pathways to break existing technical bottlenecks. By enabling traceless, efficient, and versatile protein manipulation, split inteins continue to serve as indispensable tools that drive innovation in protein engineering and fundamental life science research.

Objective To investigate the species composition, distribution, density, and pathogen-carrying status of host-seeking ticks in urban environments of Jiangsu Province, and to provide a scientific basis for the prevention and control of tick-borne diseases in urban settings. Methods From April to September 2023, a survey on host-seeking ticks was conducted in three types of habitats (city parks, residential areas, and street greenbelts) across 54 counties (cities, districts) of 13 prefecture-level cities in Jiangsu Province by using the flagging method. RStudio 4.4.3 (Windows version) was employed to perform chi-square test analysis on the species composition of ticks across different months, and Friedman test (for multiple paired samples) was applied to analyze monthly changes in the average tick density index among different habitats. Quantitative real-time PCR was performed to detect pathogens in the captured ticks. Results A total of 863 host-seeking ticks were captured from 54 habitats in 24 counties (cities, districts) of 11 prefecture-level cities (Nanjing, Wuxi, Changzhou, Suzhou, Nantong, Huai'an, Yancheng, Yangzhou, Zhenjiang, Taizhou, and Suqian) in Jiangsu Province, whereas no ticks were captured in Xuzhou and Lianyungang. The collected ticks belonged to three species, with Haemaphysalis longicornis being the dominant species (accounting for 82.62%), followed by Haemaphysalis flava and Hae. phasiana. The average density index of ticks in positive habitats was 3.20 ticks/ (flag·100 m). In terms of tick density among prefecture-level cities, Wuxi had the highest density[13.55 ticks/(flag·100 m)], whereas Nanjing and Taizhou had the lowest[both,0.20 ticks/(flag·100 m)]. With respect to the types of positive habitats,46 positive city parks,7 positive residential areas, and 1 positive street greenbelt were found, with the average tick density index being 3.46, 1.86, and 3.60 ticks/flag · 100 m, respectively. No statistically significant differences were observed in the monthly variations in the average tick density index among different habitats (P＞0.05). Pathogen detection showed no Bandavirus dabieense, Rickettsia, or Borrelia burgdorferi in the collected ticks. Conclusions Host-seeking ticks have established populations in urban environments across most prefecture-level cities in Jiangsu Province, with Hae. longicornis identified as the dominant species. City parks serve as the primary breeding habitats for these ticks. Strengthening tick surveillance and control measures in densely populated and frequently visited areas, such as city parks and residential neighborhoods, is crucial for the effective prevention and control of urban tick-borne diseases.

As an extension of the central nervous system, the retina is the only tissue in the body that allows direct in vivo observation of both neural and vascular structures, offering a unique non-invasive window for the assessment of cerebral neurovascular diseases. Recent studies have shown that multimodal imaging techniques—such as fundus photography, optical coherence tomography(OCT), and OCT angiography(OCTA)—enable quantitative analysis of retinal indicators including vascular caliber, fractal dimension, retinal nerve fiber layer thickness, and microvascular density. These metrics can, to some extent, reflect the severity and progression risk of cerebrovascular and neurodegenerative diseases such as stroke, Alzheimer's disease, and Parkinson's disease. Consequently, retinal imaging holds promise as a powerful tool for early screening, risk stratification, and treatment monitoring. This article systematically reviews the application of retinal imaging technologies in the diagnosis and management of cerebral neurovascular disorders, with a particular focus on the important role of artificial intelligence(AI)-driven image analysis in enhancing screening efficiency, improving risk assessment accuracy, and promoting multidisciplinary collaborative care, thereby providing insights for clinical translation.

Objective:To Evaluate the potential causal relationship between the levels of 179 lipids in peripheral blood and the risk of different subtypes of lung cancer by Mendelian randomization analysis.Methods:A two-sample Mendelian randomization analysis was performed using data from the Genome-Wide Association Study(GWAS),and sensitivity analysis was performed to verify the reliability of the results.Single nucleotide polymorphisms(SNPs)were used as instrumental variables,and GWAS data for different subtypes of lung cancer were used as outcome variables.We analyze potential causal associations between the levels of 179 lipids and the risk of different subtypes of lung cancer.Results:The causal relationship between phosphatidylcholine and lung adenocarcinoma was established as a protective factor,and Sphingomyelin and Triacylglycerol have been identified as being linked to lung adenocarcinoma and function as risk factors.Phosphatidylcholine were found to have a causal association with lung squamous cell carcinoma serving as a protective factor,and Phosphatidylethanolamine and Sphingomyelin were identified as risk factors for lung squamous cell carcinoma.However,the effects of different subtypes of Phosphatidylcholine on lung adenocarcinoma and lung squamous cell carcinoma were different.The study did not find evidence that lipids can influence small cell lung carcinoma.Conclusion:This study provides evidence of a causal relationship between lipids level features and different subtypes of lung cancer.

Objective To explore the molecular mechanism of Guben Zhike Pingchuan Granules in treating cough variant asthma(CVA)through network pharmacology and molecular docking technology;To use CVA model rats for validation;To provide a basis for the basic research and clinical application of Guben Zhike Pingchuan Granules.Methods TCMSP and BATMAN-TCM databases were used to retrieve the active components and corresponding targets of Guben Zhike Pingchuan Granules,and CVA disease targets were screened using OMIM,GeneCards,DrugBank,PharmGKB databases to obtain drug disease intersection targets.Cytoscape 3.10.1 software was used to construct the drug-component-target network and screen the key components;STRING database was used to construct protein-protein interaction(PPI)network and screen core targets;GO and KEGG enrichment analysis was conducted using DAVID platform;AutoDock Vina software was used to conduct molecular docking on the core targets and key components with high degree value respectively.CVA rat model was established by smoking combined with intraperitoneal and subcutaneous multi-point injection of ovalbumin.The rats were randomly divided into blank group,model group,montelukast sodium tablets group,Guben Zhike Pingchuan Granules low-and high-dosage groups.The groups received corresponding medicine for 15 d.HE staining was used to observe the morphology of lung tissue;ELISA was used to detect the contents of serum interleukin-1β(IL-1β)and tumor necrosis factor-α(TNF-α);immunohistochemistry was used to detect the positive expressions of AKT,EGFR and NFKB1 in lung tissue.Results A total of 9 996 active components and 1 119 potential targets of Guben Zhike Pingchuan Granules,2 740 CVA targets,467 drug and disease intersection targets were screened out;PPI network topology analysis showed that AKT1,STAT3,EGFR,NFKB1 and MTOR were the core targets;the results of enrichment analysis showed that Guben Zhike Pingchuan Granules played an anti-inflammatory role in the treatment of CVA mainly through the interaction of EGFR/PI3K-Akt/NF-κB signaling pathway;molecular docking showed good binding ability between the core targets and key components,with a binding energy of<-7.0 kcal/mol for EGFR and Quercetin.Animal experiment results showed that after intervention with Guben Zhike Pingchuan Granules,the alveolar walls of the lung tissue in the model rats narrowed,the size of the alveoli became uniform,lymphocyte infiltration improved significantly,bronchioles contracted,and mucus in the lumen decreased;compared with the model group,the serum contents of IL-1β and TNF-α decreased in Guben Zhike Pingchuan Granules low-and high-dosage groups and montelukast sodium tablets group,and the positive expressions of AKT,EGFR and NFKB1 in lung tissue decreased(P<0.05,P<0.01).Conclusion Guben Zhike Pingchuan Granules may mediate the inflammatory response through the EGFR/PI3K-Akt/NF-κB signaling pathway,significantly improve the structural damage of CVA lung tissue,inhibit inflammatory cell infiltration,down-regulate the expressions of inflammatory factors,and thus exert therapeutic effects on CVA.

Objective To investigate the correlation between platelet-to-albumin ratio(PAR)and occurrence of cerebral infarction after left atrial appendage closure(LAAC)in patients with non-valvular atrial fibrillation(NVAF).Methods A retrospective study was conducted on 259 NVAF patients undergoing LAAC in our department between 2019 and 2023.According to occurrence of cerebral infarction after LAAC or not,they were divided into a control group(241 cases)and a study group(18 cases).Their general data were collected,and Cox proportional hazards regression model was used to identify the risk factors for cerebral infarction.ROC curve was plotted to assess the predictive value of PAR for cerebral infarction in NVAF patients after LAAC,and the AUC value was calculated.Kaplan-Meier survival curve was drawn to analyze the incidence of cerebral infarction after LAAC in NVAF patients with different PAR values.Results The study group had significantly advanced age,higher SBP at admission,increased WBC,neutrophil,monocyte and platelet counts,longer thrombin time,elevated international normalized ratio(INR)and high-sensitivity C-reactive protein(hs-CRP)level,and higher PAR than the control group(P＜0.05,P＜0.01).Multivariate Cox regression analysis showed that PAR(HR=2.286,95％CI:1.182-4.420,P＜0.05)was an independent risk factor for cerebral infarction in NVAF patients after LAAC.ROC curve indicated that the AUC value of PAR in predicting cerebral infarction after LAAC in NVAF patients was 0.721(95％CI:0.586-0.856,P＜0.01),with an optimal cut-off value of 4.137,a sensitivity of 66.39％,and a specificity of 77.78％.Kaplan-Meier survival curve revealed that the higher the PAR value was,the higher the risk of cerebral infarction was(P＜0.01).Conclusion PAR is significantly correlated with cerebral infarction in NVAF patients after LAAC.The higher the PAR,the higher the risk of cerebral infarction,demonstrating its predictive value and being worthy of clinical promotion.

Objective:This study sought to examine the clinicopathological features of monomorphic epitheliotropic intestinal T-cell lymphoma (MEITL) and to discuss its differential diagnosis.Methods:A total of 36 MEITL cases, collected between June 2015 and January 2024 from the Fourth Affiliated Hospital of Soochow University and the First Affiliated Hospital, College of Medicine, Zhejiang University, were analyzed. Patients underwent immunohistochemistry, in situ hybridization for Epstein-Barr virus-encoded small RNA (EBER), and T-cell receptor (TCR) gene rearrangement testing. Clinical data, laboratory results, and follow-up information were collected for correlation analysis.Results:The cohort included 36 patients (20 males and 16 females) aged 17-76 years (median: 57 years). Tumors outside the intestine were observed in 22 cases (61%). A total of 32 patients (89%) underwent surgical intervention and/or chemotherapy, and one patient received auto-HSCT. The median follow-up duration was 11.5 months (range: 8-73 months), with a median overall survival of 6 months (range: 1-67 months) ; 34 patients died during the follow-up period. Morphologically, nine cases (25%) exhibited significant pleomorphism. Immunohistochemical analysis revealed that high expression levels of both P53 and c-Myc were correlated with atypical morphology ( P=0.003 and P=0.016, respectively). Notably, patients with high P53 expression had significantly shorter survival times than those with low P53 expression ( χ2=4.922, P=0.027), whereas survival did not differ significantly based on c-Myc expression levels ( χ2=0.034, P=0.854). Furthermore, a PD-L1 CPS score ≥10 was observed in 22 cases (68.8%). Scattered EBER positivity in background cells was identified in four cases. All tested cases (17/17, 100.0%) showed clonal TCR gene rearrangements. Conclusions:MEITL is a rare but highly aggressive lymphoma with distinct clinical and pathological features. A subset of cases may exhibit atypical morphological patterns, complicating the diagnostic process. Improving awareness of this neoplasm is helpful for early and precise diagnosis as well as the estabolishment of novel therapy regimen.

Objective To observe the clinical efficacy of traditional Chinese medicine(TCM)sequential therapy in treating patients with psoriasis vulgaris in Shenzhen,and to explore the syndrome differentiation and treatment for the patients with psoriasis vulgaris in Shenzhen region.Methods From January 2019 to February 2024,70 cases of psoriasis vulgaris admitted to Shenzhen Bao'an Traditional Chinese Medicine Hospital Affiliated to Guangzhou University of Chinese Medicine(Shenzhen Bao'an Traditional Chinese Medicine Hospital Group)were retrospectively analyzed.The patients were divided into the observation group(39 cases)and the control group(31 cases)according to the treatment plans.In the control group,only topical application of Calcipotriol Ointment was given throughout the treatment,while in the observation group the patients were treated with TCM sequential therapy according to the illness stage on the basis of treatment for the control group,i.e.,internal administration of modified Shuiniujiao Huanglian Decoction was given in the acute stage and modified Sijunzi Shuiniujiao Decoction was given in the remission stage.Both groups were treated for 3 months.Before and after the treatment,the changes of Psoriasis Area and Severity Index(PASI)scores,Dermatology Life Quality Index(DLQI)scores and TCM syndrome scores in the two groups were observed.After treatment,the clinical efficacy and drug safety of the two groups were evaluated.Results(1)After 3 months of treatment,the total effective rate of the observation group was 89.74%(35/39),and that of the control group was 74.19%(23/31).The intergroup comparison(tested by chi-square test)showed that the efficacy of the observation group was significantly superior to that of the control group(P＜0.05).(2)After treatment,the PASI scores for evaluating the severity of skin lesions in the two groups were significantly decreased compared with those before treatment(P＜0.05),and the decrease in the observation group was significantly superior to that in the control group(P＜0.05).(3)After treatment,the DLQI scores for evaluating the quality of life in the two groups were significantly decreased compared with those before treatment(P＜0.05),and the decrease in the observation group was significantly superior to that in the control group(P＜0.05).(4)After treatment,the scores of TCM syndromes such as erythema,itching,vexation and dry mouth in the two groups were significantly decreased compared with those before treatment(P＜0.05),and the decrease in the observation group was significantly superior to that in the control group(P＜0.05).(5)During the treatment period,no obvious adverse reactions occurred in the two groups of patients,with high safety.Conclusion On the basis of conventional western medicine treatment,application of TCM sequential therapy exerts certain clinical efficacy in treating patients with psoriasis vulgaris in Shenzhen region,and the combined therapy is effective on controlling the patients'illness conditions,significantly alleviating the symptoms and improving the quality of life of the patients.

Objective To investigate the population composition,seasonal dynamics,and infestation levels of cockroaches in Lanzhou,China,and to provide information for the scientific development of cockroach control strategies.Methods Monitoring was conducted at three locations using the sticky trap method.Habitats included farm product markets,catering establishments,hotels,hospitals,and residential areas.Results From 2016 to 2023,the average cockroach density was 0.77 insects per board,with an average infestation rate of 10.84%.Blattella germanica was the dominant species.Seasonal density of cockroaches showed an approximately unimodal distribution,peaking in September.The highest average density and infestation rates were observed in farm product markets.Conclusions Cockroach density and infestation levels in Lanzhou remained relatively low.A comprehensive prevention and control strategy focusing on environmental management in key areas should be implemented according to the seasonal fluctuations.