Background Per- and poly-fluoroalkyl substances (PFAS) can influence gestational diabetes mellitus (GDM); however, current studies on their association are limited and have yielded inconsistent findings. Objective To investigate the association between maternal exposure to PFAS, as measured by urinary concentrations in early pregnancy, and the risk of developing GDM. Methods Based on the Wuhu Birth Cohort in Anhui Province conducted between 2020 and 2023, this study included 1910 pregnant women. Urine samples were collected during the first trimester, and a 75 g oral glucose tolerance test (OGTT) was completed at 24–28 gestational weeks. The concentrations of six PFAS in urine were measured using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Participants were categorized into low, medium, and high exposure groups according to tertiles of individual PFAS concentrations. Logistic regression analysis was employed to assess the potential impact of early-pregnancy PFAS exposure levels on the risk of GDM, with stratified analyses by maternal age and fetal sex. A generalized weighted quantile sum regression (gWQS) model was applied to evaluate the relative weight distribution of the six PFAS in their mixture effect. Results The logistic regression results revealed that both medium exposure to perfluorohexane sulfonate (PFHxS) (OR=1.475, 95%CI: 1.040, 2.093) and high exposure to perfluorononanoic acid (PFNA) (OR=1.430, 95%CI: 1.013, 2.018) were positively associated with diagnosed GDM. This association was more pronounced among women older than 28 years. Among pregnant women carrying male fetuses, high-level exposures to per fluorohexanoic acid (PFHxA) (OR=1.708, 95%CI: 1.006, 2.899) and PFHxS (OR=2.116, 95%CI: 1.247, 3.584) showed positive associations with diagnosed GDM. In contrast, among those carrying female fetuses, moderate perfluorooctanesulfonic acid (PFOS) exposure was associated with a lower risk of GDM (OR=0.542, 95%CI: 0.311, 0.946). The gWQS results demonstrated that PFOS (0.48) and perfluorobutane sulfonate (PFBS) (0.34) contributed the most to the mixture effect. Conclusion Early-pregnancy exposure to PFAS (particularly PFHxS and PFNA) may be an etiological factor for GDM, with maternal age and fetal sex potentially acting as effect modifiers in this association.

With the integration of 5G communication technology and robotic surgical systems, remote robot-assisted thoracic surgery is overcoming geographical barriers, offering an innovative approach to addressing the uneven distribution of medical resources. This study conducted a systematic literature review—using databases such as PubMed and CNKI, with the search period extending up to 2025—incorporating clinical studies, case reports, and review articles to comprehensively evaluate the clinical efficacy and safety of 5G-enabled remote robot-assisted thoracic surgery (5G-RRATS). The analysis also examined current technological limitations and potential future development trajectories. Existing evidence indicates that, given adequate technical support, 5G-RRATS can achieve perioperative outcomes comparable to those of conventional local robotic surgeries across procedures including pulmonary wedge resection, lobectomy, and esophagectomy. Furthermore, it demonstrates potential advantages in minimizing surgical incisions and reducing intraoperative blood loss. Nevertheless, challenges related to network stability, latency control, interdisciplinary collaboration between medical and engineering teams, and legal, regulatory, and ethical considerations continue to hinder widespread clinical adoption. Looking ahead, the emergence of a "one-to-many" remote surgical model, combined with the integration of artificial intelligence and augmented reality technologies, as well as advancements in low-orbit satellite communications, may enable 5G-RRATS to further advance precision and efficiency in thoracic surgery, thereby facilitating equitable access to high-quality care for a broader patient population.

Lung transplantation is a definitive treatment for end-stage lung disease and can significantly improve patient prognosis. However, postoperative complications such as infection, rejection, ischemia-reperfusion injury and chronic lung allograft dysfunction intertwine to form a complex pathological network, posing persistent challenges to long-term patient survival. In 2025, research teams worldwide have made systematic progress in the field of basic lung transplantation research. By integrating cutting-edge technologies including single-cell multi-omics, spatial transcriptomics and novel animal models, significant breakthroughs have been achieved in the evolutionary dynamics of drug-resistant infections, molecular mechanisms of immune regulation, programmed cell death, optimization of donor lung protection strategies and early warning of chronic lung allograft dysfunction. This article systematically reviews the representative advances in basic lung transplantation research worldwide in 2025, and deeply analyzes the implications of mechanistic breakthroughs for optimizing diagnosis and treatment strategies, aiming to anchor the direction for innovative breakthroughs and clinical translation in basic lung transplantation research.

Biometric recognition technology has developed rapidly and highly integrated with clinical diagnostics,phenotypic genomics,genomics,and big data analytics,facilitating not only precise personal identification but also demonstrating significant potential in health maintenance,particularly for military personnel.Global research has increasingly focused on uncovering the complex associations between biometric traits and key health determinants,such as disease susceptibility,psychological states,and physiological functions,to further harness biometrics in proactive health management.This paper provided a comprehensive overview of the latest progress and emerging applications of biometric technology in healthcare and military medicine,aiming to offer a scientific reference supporting the strategic development of biometrics research,its application promotion,and population-wide health management enhancement.

Objective To explore the anesthesia management experience in the interventional treatment of pediatric congenital heart diseases (CHD) percutaneously guided by transthoracic echocardiography (TTE) on a mobile operating platform. Methods From March to July 2023, a total of 13 patients from remote areas underwent interventional treatment for CHD on the mobile operating platform of Fuwai Yunnan Cardiovascular Hospital. Patients who received non-tracheal intubation general anesthesia were retrospectively included. Results Eight children who had difficulty cooperating with the surgery (due to young age, emotional tension, crying) received monitored anesthesia care with local anesthesia supplemented by sedative and analgesic drugs while maintaining spontaneous breathing under the monitoring and management of an anesthesiologist (i.e., non-tracheal intubation general anesthesia). Among them, there were 5 males and 3 females, with an age of (6.95±3.29) years and a body weight of (19.50±6.04) kg. Through transthoracic echocardiography, they were diagnosed with atrial septal defect (6 patients), residual shunt after patent ductus arteriosus ligation (1 patient), and severe pulmonary valve stenosis (1 patient). The surgery proceeded smoothly, with satisfactory anesthesia and surgical effects, complete analgesia, and satisfactory postoperative recovery. There was 1 patient of body movement and 1 patient of respiratory depression during the operation, and both patients completed the surgery successfully after treatment. All children had no serious surgery- and anesthesia-related complications. The anesthesia time was 40.5 (34.5, 47.5) min, the surgery time was 39.0 (33.0, 45.5) min, and the recovery time was 43.0 (28.0, 52.5) min Conclusion Interventional surgery for CHD guided by TTE at a mobile platform is a minimally invasive approach without radiation damage. Non-tracheal intubation general anesthesia with spontaneous breathing can be safely and effectively implemented in children who cannot cooperate.

ObjectiveTo investigate the characteristics and distribution of traditional Chinese medicine （TCM） syndromes in the patients with esophageal squamous cell carcinoma （ESCC）. MethodsAn electronic questionnaire was developed to collect the general data and four examination information of ESCC patients treated in 10 areas with high incidence of esophageal cancer in China from June 2020 to March 2021. Multiple analyses including frequency analysis， factor analysis， and hierarchical cluster analysis were performed to analyze the potential syndrome elements， disease location， and common syndromes of ESCC. ResultsA total of 2 027 patients with ESCC were included. Statistical analysis was performed on 113 symptoms， physical signs， 33 tongue manifestation variables， and 23 pulse manifestation variables of the patients’ four examination information. Factor analysis was performed on 55 variables with frequency>10%， extracting 19 common factors. According to clinical experience and expert opinions， the main lesions of patients with ESCC were in the spleen and stomach， and the main syndrome elements were Qi stagnation， blood stasis， phlegm， dampness， and Qi deficiency， with the syndrome element combination of phlegm obstruction + Qi stagnation + blood stasis being the most common. The syndromes can be classified into four categories of liver-stomach disharmony + combined phlegm and Qi obstruction， kidney-spleen dysfunction + combined phlegm and stasis， spleen-kidney Yang deficiency + obstinate phlegm and blood stasis， and liver-kidney Yin deficiency + obstinate phlegm and blood stasis. The main syndrome of ESCC was liver-stomach disharmony + combined phlegm and Qi obstruction in the early stage， liver-spleen dysfunction + combined phlegm and stasis in the middle stage， and spleen-kidney Yang deficiency + obstinate phlegm and blood stasis in the late stage. ConclusionESCC mainly has main pathological features of internal deficiency and external excess and combined deficiency and excess， with the key syndrome elements being phlegm obstruction， Qi stagnation， and blood stasis. The main disease locations are in the spleen and stomach， involving the liver， kidney， chest and diaphragm， heart， and lung. The main syndrome is liver-stomach disharmony + combined phlegm and Qi obstruction. In clinical practice， it is necessary to grasp the pathogenesis dynamics of the disease and use prescriptions according to patients’ syndromes.

Large language models (LLMs) such as ChatGPT, Claude, Llama, and Qwen are emerging as transformative technologies for the diagnosis and treatment of various diseases. With their exceptional long-context reasoning capabilities, LLMs are proficient in clinically relevant tasks, particularly in medical text analysis and interactive dialogue. They can enhance diagnostic accuracy by processing vast amounts of patient data and medical literature and have demonstrated their utility in diagnosing common diseases and facilitating the identification of rare diseases by recognizing subtle patterns in symptoms and test results. Building on their image-recognition abilities, multimodal LLMs (MLLMs) show promising potential for diagnosis based on radiography, chest computed tomography (CT), electrocardiography (ECG), and common pathological images. These models can also assist in treatment planning by suggesting evidence-based interventions and improving clinical decision support systems through integrated analysis of patient records. Despite these promising developments, significant challenges persist regarding the use of LLMs in medicine, including concerns regarding algorithmic bias, the potential for hallucinations, and the need for rigorous clinical validation. Ethical considerations also underscore the importance of maintaining the function of supervision in clinical practice. This paper highlights the rapid advancements in research on the diagnostic and therapeutic applications of LLMs across different medical disciplines and emphasizes the importance of policymaking, ethical supervision, and multidisciplinary collaboration in promoting more effective and safer clinical applications of LLMs. Future directions include the integration of proprietary clinical knowledge, the investigation of open-source and customized models, and the evaluation of real-time effects in clinical diagnosis and treatment practices.
Humans ; Large Language Models ; Tomography, X-Ray Computed

Objective:To develop and design a during-treatment records auto-review program to comply the quality assurance(QA)requirement of radiotherapy chart auditing,and thereby improve the review efficiency and accuracy.Methods:Based on the items the guideline required,the Aria Oncology Information System database backup files was analyzed by Java,Vue,and etc.languages and the corresponding review logic was formulated.A total of 530 treatment records generated at Shanghai Concord Cancer Center from January to March 2024(10 weeks)were auto-reviewed and compared with the manual results for evaluating the accuracy and efficiency of the program.Results:The auto-review program was running smoothly.Overall with the above data,the sensitivity,specificity,accuracy and the error-miss rate were 73.4%,14.3%,87.7%and 12.3%respectively.For sub-set items,the source-skin distance(SSD)error detecting rate was 100%,the wrong session reporting was 100%correlated with the plans switching and the wrong fraction reporting was 100%related to plan revision.For the other items,auto and manual reviews gave out the same accuracy.Conclusion:The none-error results from the program are all true,so the manual rechecking could limit to those auto-review error records,which can reduce the workload by 73.4%,therefore improve the effectiveness and accuracy of the radiotherapy data review.

ARTYN is a WeChat official account and Mini Program designed for HIV/AIDS health management.By pub-lishing original articles,providing treatment information research,self-assessment tools,and expert consultations,it effectively improves patient treatment adherence and self-management capabilities.To date,ARTYN has published 197 original articles,which have collectively received over 660 000 views,with a notable increase in annual readership.The most-read article has ap-proached 30 000 views,and the content has been shared by various public accounts a total of 1 356 times,establishing ARTYN as a prominent resource in the domain of HIV antiviral treatment.System usability surveys indicate that user satisfaction with AR-TYN is 95.7％,significantly reducing the workload pressure on medical staff.The treatment effectiveness rate(VL＜1 000 cop-ies/mL)for patients subscribed to ARTYN is 98.20％,higher than that of unsubscribed patients(97.04％),with a significant difference(P＜0.001).This article emphasizes the importance of strengthening content construction,protecting patient privacy,and continuously promoting patient binding to the mini-program.Moving forward,ARTYN aims to leverage information technology to further improve operational efficiency and patient experience,thereby becoming an integral component of the informatization management strategy for HIV/AIDS antiretroviral therapy in Yunnan Province.

Objective To investigate the roles of glucose-regulated protein 75(GRP75)and voltage-dependent anion channel 1(VDAC1)in heroin-induced arrhythmia.Methods Based on transcriptomic data from primary myocardial cells treated with heroin and the GSE31821 dataset from the Gene Expression Omnibus(GEO),differentially expressed genes(DEGs)were identified using R software.Enrichment analysis of DEGs was performed.The protein-protein interaction(PPI)network was constructed using STRING database,and key genes were selected using Cytoscape.Molecular docking of key genes was performed using HDOCK,followed by in vivo valida-tion.A total of 60 SD rats were randomly divided into control,model,model+7 d,model+14 d,and model+21 d groups.A rat model of heroin addiction was established,and the expression levels of DEGs in myocardial tissue were assessed using immunohistochemical staining and quantitative real-time PCR.Results A total of 51 DEGs primarily enriched in muscle cell development,myofibrils,actin binding,arrhythmic right ventricular cardiomyopathy,calcium signaling,and apoptosis pathways were identified.Based on the PPI and Cytoscape analyses,GRP75 and VDAC1 were identified as key genes.Molecular docking indicated a strong interaction between GRP75 and VDAC1,which form a stable complex.The results of immunohistochemical staining and qRT-PCR showed that the expression levels of GRP75 and VDAC1 were significantly increased in the model group compared to those in the control group(P＜0.05),and their expres-sion increased(P＜0.05)with the intervention period of heroin in a time-dependent manner.Conclusion GRP75 and VDAC1 may con-tribute to heroin-induced arrhythmogenesis.