Myofascial trigger points， as hyperirritable spots within taut bands of skeletal muscle， can induce local or referred pain， and show a high degree of similarity to acupoints in traditional Chinese medicine （TCM）， particularly the so-called sinew knot lesion point. From the perspective of channel sinew theory， and by examining the correlations of myofascial trigger points with acupoints and channel sinew disorders， this study aims to compare the similarities and differences between MTrPs and sinew knot lesion points in terms of pathological mechanisms， needling analgesic mechanisms， and therapeutic approaches. The goal is to deepen the understanding of MTrPs and dry needling， and provide a modern scientific perspective on channel sinew theory and the sinew knot lesion point.

Myofascial trigger points， as hyperirritable spots within taut bands of skeletal muscle， can induce local or referred pain， and show a high degree of similarity to acupoints in traditional Chinese medicine （TCM）， particularly the so-called sinew knot lesion point. From the perspective of channel sinew theory， and by examining the correlations of myofascial trigger points with acupoints and channel sinew disorders， this study aims to compare the similarities and differences between MTrPs and sinew knot lesion points in terms of pathological mechanisms， needling analgesic mechanisms， and therapeutic approaches. The goal is to deepen the understanding of MTrPs and dry needling， and provide a modern scientific perspective on channel sinew theory and the sinew knot lesion point.

With the rapid development of artificial intelligence technology,Large Language Models(LLMs)have in-creasingly been applied in the medical field,particularly demonstrating significant potential in the prevention and management of medical disputes,patient management,and medical quality control.This article,from the perspective of cooperative governance,summarizes and analyzes the current application of LLMs in the field of medical dispute from the perspectives of the governments,research and development companies,medical staff,patients and all other relevant parties.It delves into the advantages of LLMs in dispute prediction,document writing,quality control,patient management,and case retrieval,and systematically analyzes the challenges faced in data security,privacy protection,professional competence,ethical and legal issues,and personnel utilization.The aim of this article is to provide references and development suggestions for further research and practice of LLMs in the field of medical disputes.

With the rapid development of artificial intelligence technology,Large Language Models(LLMs)have in-creasingly been applied in the medical field,particularly demonstrating significant potential in the prevention and management of medical disputes,patient management,and medical quality control.This article,from the perspective of cooperative governance,summarizes and analyzes the current application of LLMs in the field of medical dispute from the perspectives of the governments,research and development companies,medical staff,patients and all other relevant parties.It delves into the advantages of LLMs in dispute prediction,document writing,quality control,patient management,and case retrieval,and systematically analyzes the challenges faced in data security,privacy protection,professional competence,ethical and legal issues,and personnel utilization.The aim of this article is to provide references and development suggestions for further research and practice of LLMs in the field of medical disputes.

Additive manufacturing(3D printing)technology aligns with the direction of precision and customization in future medicine,presenting a significant opportunity for innovative development in high-end medical devices.Currently,research and industrialization of 3D printed medical devices mainly focus on nondegradable implants and degradable implants.Primary areas including metallic orthopaedic implants,polyether-ether-ketone(PEEK)bone implants,and biodegradable implants have been developed for clinical and industrial application.Recent research achievements in these areas are reviewed,with a discussion on the additive manufacturing technologies and applications for customized implants.Challenges faced by different types of implants are analyzed from technological,application,and regulatory perspectives.Furthermore,prospects and suggestions for future development are outlined.

Objective To summarize the management challenges faced by multi-campus hospitals both domestically and internationally,to delineate the experiences in medical administration across multiple campuses,and to propose the"Zhong-zhong"multi-campus medical management pattern based on the practices of Sun Yat-sen University Cancer Center,aiming to pro-vide reference and evidence for domestic peers in the field.Methods This study uses the methods of literature research and case study analysis,and summarizes and condenses the experience of medical management in multi-campus and provides policy sug-gestions through key person interviews and expert consultation.Results SYSUCC carries out multi-campus medical management through six major measures,namely,the organizational system combining vertical and territorial management,the layout of disci-plinary clusters and specialties,multi-channel flow attraction measures,the dynamic adjustment of medical resources,the homog-enization of medical quality,and the high-effective information system.It achieves the high-quality development goals with differ-ential development of various specialties,improved resource utilization efficiency,homogeneous and incremental medical serv-ices,smooth operation of information system,and steady and orderly development of new techniques.Conclusion Domestic public specialized hospitals can achieve homogeneous management and high-quality development across multiple campuses through streamlined organizational structures to enhance management efficiency,optimizing the layout of specialized departments to pro-mote coordinated development,strict control of standards to ensure medical quality,using dynamic adjustments to guide orderly competition among specialized departments,and leveraging information systems to support homogeneous development across multi-ple campuses.

The cyclic GMP-AMP synthase (cGAS)-stimulator of interferon gene (STING) signal pathway is a classical pathway of STING activation, and in recent years, its role in stimulating innate immunity has gradually attracted wide attention. Besides, cGAS can recognize and combine endogenous or exogenous DNA, then catalyze ATP and GTP to synthesize cyclic guanosine monophosphate-adenosine monophosphate (cGAMP), subsequently activate STING signal to promote type I interferon and inflammatory factors, finally induce natural and adaptive immunity. Existing studies have indicated that cGAS-STING signal pathway plays an important role in infections, inflammations and tumors, especially in high-grade gliomas with poor clinical treatment efficacy. Here, we briefly summarize the cGAS-STING signal pathway and its mechanism in brain tumors to provide new ideas for exploring therapeutic targets and drugs for brain tumors.

Objective:Objectives To investigate the predictive value of color Doppler flow imaging (CDFI) for the proteinuria following pyeloplasty for congenital ureteropelvic junction obstruction (UPJO) in children.Methods:We identified a series of 206 children with a mean age of (20.0±28.8) months (1-132 months), consisted of 171 males and 35 females, diagnosed with congenital UPJO accepted pyeloplasty from January 2014 to September 2018, the preoperative mean urinary Albumin/Creatinine Ratio (ACR) was (17.3±160.1) mg/mmol and the mean β2-microglobulin/Creatinine Ratio (β2-MG/Cr) was (135.6±383.8) μg/mmol, ultrasound showed a mean renal pelvis dilatation of (3.1±1.5) cm and a mean cortical thickness of (0.3±0.1) cm, and classified as grade Ⅰ-Ⅴ according to the blood flow distribution in renal by CDFI, these children were divided into three groups of increased, decreased and unchanged blood flow according to the postoperative CDFI within 1 week, the postoperative urinary protein and renal function indexes within 1 week and 2 years were retrospectively analysed among groups.Results:Within 1 week postoperatively, an increased, decreased and unchanged blood flow occurred in 113 (54.9%), 31(15.0%), 62(30.1%) children, respectively. Urinary ACR in above mentioned groups was (112.3±400.7), (16.1±29.3), (32.7±48.4) mg/mmol, β2-MG/Cr was (887.4±6061.0), (50.2±62.7), (51.9±57.8)μg/mmol, there were significant differences among groups ( P<0.01). Contralateral hydronephrosis occurred in 21(18.6%), 4(12.9%), 8(12.9%) children, urinary N-Acetyl-β-D-glucosaminidase (NAG) was (7.5±5.2), (7.0±5.4)、(5.7±4.5) U/L, these indexes showed no significant differences among groups. There was a positive correlation between the increased blood flow level and the decreased renal pelvis dilatation (Spearman’s correlation coefficient 0.2, P<0.01), ACR (Spearman’s correlation coefficient 0.4, P<0.01) and β2-MG/Cr (Spearman’s correlation coefficient 0.3, P<0.01). After a follow up of 2 years, 67 children were diagnosed with proteinuria in this series, 51 cases of them with an increased blood flow, which had significantly higher percentage than children with a decreased (4 cases, 12.9%) or unchanged blood flow (12 cases, 19.3%). Logistic multivariate analysis indicated that early postoperative (within 1 week) increased blood flow ( OR=1.9, 95% CI 1.5-2.6), contralateral hydronephrosis ( OR=2.2, 95% CI 1.1-4.8) and urinary NAG ( OR=1.1, 95% CI 1.0-1.1) were predictive of proteinuria, the increased blood flow was independent predictor of proteinuria (Ⅰ level increased: OR=1.9, 95% CI 1.5-2.6). Conclusions:The CDFI reveals good predictive value for the postoperative proteinuria, an early marked increased blood flow postoperatively indicated risk of proteinuria in the long term.

It is necessary to provide a SPARQL query tool for biomedical researchers due to the massive data of bi-omedical ontology. However, manual input of SPARQL query statements is quite complicated and easy to produce errors. A Cytospace-based parameterized SPARQL query system was thus developed for biomedical ontology, which can generate a module with SPARQL query conditions used as parameters. Biomedical researchers can thus rapidly, easily and directly retrieve the data in several biomedical ontology knowledge libraries instead of manual input of SPARQL query statements.

Objective To analyze the current literatures on perineum nursing with traditional Chinese medicine for preventing catheter-associated urinary tract infection (CAUTI).Methods The literatures were retrieved with free words and key words from the Chinese biomedical literature database (CBM), China National Knowledge Infrastructure (CNKI), Wanfang database, VIP database (VIP) before November 2016. The retrieval results were evaluated by 2 reviewers independently. Data was extracted using modified JADAD scale.Results Nine literatures were included in the study, with low quality (0-3 points). No high quality literatures (4-7 points) were involved. Conclusions The studies on preventing CAUTI with traditional Chinese medicine (TCM) are at the first step. High quality literatures are seldom. Methodology studies are required to provide evidences for preventing CAUTI, especially for high risk and special patients.