Methods: Fifty patients who underwent UBE-TLIF and 50 patients who underwent W-TLIF, each with >2 years of follow-up, were retrospectively analyzed. Outcomes included operative parameters, time to postoperative mobilization, paravertebral muscle atrophy and fat infiltration rates, clinical scores (Visual Analog Scale [VAS], Oswestry Disability Index [ODI], Japanese Orthopaedic Association [JOA]), modified Macnab criteria, fusion rates, and complications. Results: Compared with W-TLIF, the UBE-TLIF group had significantly less intraoperative blood loss, shorter operative times, and lower postoperative drainage volumes (p <0.05). The UBE-TLIF group showed faster postoperative recovery and shorter hospital stays. At 6 months, 1 year, and 2 years, W-TLIF patients had higher multifidus and erector spinae atrophy, and greater paravertebral muscle fat infiltration (p <0.05). The UBE-TLIF group also had lower VAS and ODI scores at 1 year and 2 years (p <0.05) and fewer surgical complications (6% vs. 10%). Fusion rates (94% vs. 92%) and modified Macnab outcomes (88% vs. 86%) were comparable (p >0.05). Conclusions UBE-TLIF is associated with reduced intraoperative trauma, quicker recovery, and fewer complications. In the long-term, it better preserves paravertebral muscle integrity and provides superior pain and functional outcomes.

Respiratory syncytial virus (RSV) is a ubiquitous respiratory virus that affects individuals of all ages; however, there is a notable lack of targeted treatments. RSV infection is associated with a range of respiratory symptoms, including bronchiolitis and pneumonia. Baicalin (BA) exhibits significant therapeutic effects against RSV infection through mechanisms of viral inhibition and anti-inflammatory action. Nonetheless, the clinical application of BA is constrained by its low solubility and bioavailability. In this study, we prepared BA nanodrugs (BA NDs) with enhanced water solubility utilizing the supramolecular self-assembled strategy, and we further conducted a comparative analysis of this pharmacological activity between free drugs and NDs of BA. Both in vitro and in vivo results demonstrated that BA NDs significantly enhanced the dual effects of viral inhibition and inflammation relief compared to free BA, attributed to prolonged lung retention, improved cellular uptake, and increased targeting affinity. Our study confirms that the nanosizing strategy, a straightforward approach to enhance drug solubility, can also increase biological activity compared to free drugs with the same content, thereby providing a potential ND for RSV treatment. This correlation analysis between the existing forms of drugs and their biological activity offers a novel perspective for research on the active ingredients of traditional Chinese medicine.

ChuanWu (CW), the dried mother root of Aconitum carmichaelii Debx., is a well-known traditional Chinese medicine (TCM) recognized for its potent efficacy but inherent toxicity, primarily due to its alkaloid content. Traditional and modern detoxification methods for CW include proper processing, rational compatibility, and specialized decoction techniques, among which honey-boiled CW is particularly distinctive. However, research on the detoxification mechanism of honey-boiled CW remains limited. This study investigated this mechanism by analyzing alkaloid transformation and supramolecular aggregation. Honey-boiled and water-boiled CW preparations were compared. Ultra-high-performance liquid chromatography-tandem mass spectrometry was used to analyze CW alkaloids, specifically diester alkaloids (DDAs), monoester alkaloids (MDAs), and non-esterified diterpenoid alkaloids (NDAs). Transmission electron microscopy was employed to observe and identify supramolecular aggregates in the honey-boiled CW decoction. In vivo absorption of water-boiled, honey-boiled, and NADES-boiled CW was compared. Median lethal dose (LD₅₀) tests assessed toxicity, including hepatotoxicity and nephrotoxicity. In vitro experiments evaluated the safety, anti-inflammatory, and analgesic effects of CW-medicated serum on RAW264.7 cells, with in vivo validation in mice. Results showed that honey promoted the conversion of highly toxic DDAs to less toxic MDAs and prevented MDAs from hydrolyzing into NDAs. Honey-boiled CW formed approximately 250 nm supramolecular aggregates that encapsulated MDAs, inhibiting their conversion to NDAs. These encapsulated MDAs acted as a stable delivery system with higher bioavailability than free benzoylmesaconine. Subsequent mouse experiments confirmed that honey-boiled CW significantly increased the LD₅₀ of CW while reducing hepatotoxicity and nephrotoxicity. Additionally, honey-boiled CW significantly improved cell safety and enhanced anti-inflammatory and analgesic effects. Our findings reveal that honey-boiled CW exhibits a potent detoxification mechanism by influencing alkaloid transformation and facilitating the formation of supramolecular aggregates. This study lays the groundwork for developing detoxification or synergistic strategies within honey-boiled TCM.

Pre-admission is a critical initiative to optimize medical service processes and alleviate the challenge of "difficult access to healthcare. "However, there is currently a lack of standardized protocols for pre-admission procedures. This study aims to systematically analyze key nodes and risk factors in pre-admission process design and propose optimization strategies, providing a foundation for policy formulation and hospital practices. By constructing a "forward-reverse" dual-process model of pre-admission and identifying risk points based on stakeholder theory (patients, hospitals, healthcare administration, and insurance), the study reveals that while pre-admission can reduce the average length of stay, improve bed turnover rates, and enhance patient satisfaction, it also presents risks such as cross-period financial settlement, challenges in insurance policy adaptability, demands for information system integration, and the need for defining medical safety boundaries. To optimize the pre-admission process and mitigate these risks, this study explores framework improvements in areas including eligibility criteria, mode selection, cost settlement, transition between pre-admission and inpatient status, and cancellation of pre-admission, offering practical guidance for public hospitals. The authors argue that pre-admission requires tripartite collaboration among hospitals, insurers, and healthcare administrations: hospitals should establish top-level design, continuously refine processes, and implement dynamic risk assessment mechanisms; insurance providers should support cross-period settlement policies; and healthcare administrations should issue guiding policies or standardized protocols. Through multi-department coordination and collaborative efforts, the optimization and innovation of pre-admission processes can be advanced, ultimately delivering more efficient and convenient healthcare experiences for patients.

Bronchiectasis(BE) is the third major chronic airway disease, and its incidence rate shows a continuously increasing trend. Bronchiectasis is a highly heterogeneous chronic airway disease. Due to structural alterations, airflow limitation, and mucus hypersecretion, clinical treatment faces many challenges. Particularly, problems including Pseudomonas aeruginosa-dominant drug-resistant bacterial colonization, recurrent infections, airway mucus hypersecretion, and impaired lung function are the most urgent, requiring long-term and personalized treatment and management integrating traditional Chinese and western medicine to prevent the recurrence and continuous progression of the disease. In recent years, both traditional Chinese medicine and western medicine have made certain progress in pathogenesis theories, clinical studies, and basic research regarding the therapeutic challenges of bronchiectasis. Therefore, this paper summarized relevant research from the past 10 years and explored future directions and potential advantages of integrated traditional Chinese and western medicine treatment, providing references for optimizing the clinical management strategies for bronchiectasis.
Bronchiectasis/drug therapy* ; Humans ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional/methods* ; Animals

Congenital lower urinary tract obstruction (CLUTO) is a spectrum of fetal malformations caused by anatomical abnormalities of the urethra, characterized by high rates of perinatal complications and mortality. The 2024 joint guideline from the European Association of Urology (EAU) and the European Society for Paediatric Urology (ESPU) introduced systematic revisions to the comprehensive management of CLUTO. Key updates encompass advancements in prenatal and postnatal screening and precise diagnosis, refined fetal prognosis assessment, clearer indications and modality selection for prenatal intervention, optimization of postnatal treatment strategies, and the establishment of a lifelong follow-up framework within an integrated care pathway. This article elucidates these key updates by comparing the 2024 EAU/ESPU guideline with the 2022 European Rare Kidney Disease Reference Network (ERKNet) consensus. It also discusses ongoing controversies and future research directions. The aim is to provide clinicians with the latest evidence-based insights to inform practice, ultimately improving outcomes and quality of life for children with CLUTO.
Humans ; Urology ; Female ; Urethral Obstruction/therapy* ; Pregnancy ; Child ; Europe ; Prenatal Diagnosis ; Infant, Newborn ; Urethra/abnormalities*

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Objective : To explore the feasibility of machine learning methods in the discrimination of tuberculosis patients. Methods : The data of 15 observation indicators of 860 patients were obtained from a tertiary hospital. Through in-depth mining and analysis of the data, support vector machine, random forest and neural network model methods were used to discriminate the diseases of patients. Results : The accuracies of the TB suspected patient discrimination models based on support vector machine, random forest and neural network were 90%, 91% and 88%, respectively. Conclusion All three machine learning methods can be used for discriminative analysis of suspected tuberculosis patients. In comparison, random forest performs better in discriminating patients with tuberculosis from those with pneumonia.

Objective: To investigate the characteristics of temporal and spatial distribution of tuberculosis epidemics in Shache County, Kashgar Region, Xinjiang. Methods: Information on the incidence of tuberculosis in Sacha County from 2019—2021 was collected and spatiotemporally analyzed by applying the circular distribution method, local spatial autocorrelation analysis, hot and cold spot analysis, directional distribution and spatial center of gravity methods. Results : The total number of tuberculosis cases in Shache County in 2019—2021 was 8 345, of which 52.03%were male and 47.97% were female, and the patients were predominantly 60-75 years old. The number of reported incidences of TB in Tagarqi Township, Shache Township, and Chajek Township ranked among the top three in the county. Spring and summer were the disease-prone seasons for TB, and mid-March to mid-July was the period of high disease incidence. Misha Township and Ishkuli Township are the “high and high” gathering areas, while the “low and low” gathering areas are mainly concentrated in Khoshrav Township and Karasu Township. The hotspots of TB incidence in Shache county were Tagarqi township, Misha township, and Ishkuli township. During the study period, the center of gravity of TB incidence in Shache county of Kashgar area gradually shifted from the southwest to the northeast. Conclusion In Shache county, there is a certain degree of aggregation of tuberculosis outbreaks, with more men than women reporting illnesses, a larger proportion of older people, and a strong seasonal incidence of the disease, with Mixia township and Ishikuli township being the key areas of incidence. Relevant departments should continue to strengthen the disease surveillance of key populations and regions during the high incidence of tuberculosis, and take appropriate intervention measures to reduce the risk of tuberculosis transmission.