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.

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 characterize the properties of Hepa1-6-derived microparticles (Hepa1-6-MPs), investigate their stimulatory effects on dendritic cells (DCs) and their cellular uptake pathways, and explore the specific cytotoxic effects of CD8⁺ T cells induced by Hepa1-6-MP-loaded DCs on hepatoma cell lines, with the aim of developing a novel immunotherapeutic model for hepatocellular carcinoma (HCC). Methods The isolated Hepa1-6-MPs were identified using Western blotting, transmission electron microscopy (TEM) and dynamic light scattering (DLS). Flow cytometry was used to assess the uptake pathways of Hepa1-6-MPs by DCs. Subsequently, enzyme-linked immunosorbent assay (ELISA) was used to measure the effects of Hepa1-6-MP-loaded DCs on the release levels of tumor necrosis factor α(TNF-α) and interferon γ(IFN-γ) into the supernatant of CD8⁺ T cells. Lactate dehydrogenase (LDH) tests were conducted to evaluate the cytotoxic effects of CD8⁺ T cells stimulated by Hepa1-6-MP-loaded DCs on hepatoma cells. Results The morphology, size and protein markers of Hepa1-6-MPs met the established criteria. Hepa1-6-MPs enhanced the expression of DC maturation markers CD80 and CD86, and were internalized by DCs via clathrin-mediated endocytosis and phagocytosis pathways. Subsequently, Hepa1-6-MP-loaded DCs stimulated CD8⁺ T cells to release high levels of TNF-α and IFN-γ, which induced their specific cytotoxicity against HCC cells. Conclusion These findings suggest that Hepa1-6-MP-loaded DCs may be a promising HCC immunotherapeutic tool.
Carcinoma, Hepatocellular/therapy* ; Liver Neoplasms/therapy* ; Dendritic Cells/immunology* ; Humans ; Cancer Vaccines/immunology* ; CD8-Positive T-Lymphocytes/immunology* ; Cell Line, Tumor ; Tumor Necrosis Factor-alpha/immunology* ; Interferon-gamma/immunology* ; Cell-Derived Microparticles/immunology* ; Animals

Objective:To investigate the incidence of collateral circulation in high-risk patients with sleep apnea and stroke treated by continuous positive airway pressure （CPAP） ventilation and to analyze the influencing factors. Methods:A total of 152 patients diagnosed with obstructive sleep apnea-hypopnea syndrome （OSAHS） combined with acute ischemic stroke （AIS） who were admitted to our hospital from January 2020 to June 2022 were selected for this study. Based on the apnea-hypopnea index （AHI）, the patients were divided into three groups: mild （n=44）, moderate （n=72）, and severe （n=36）. After treatment, the patients were further classified into a group without collateral circulation （n=30） and a group with collateral circulation （n=26）, which included those with moderate collateral circulation （n=69） and good collateral circulation （n=27）. Clinical data across the different groups were compared, and multiple factor analysis was performed to identify factors affecting the occurrence of collateral circulation. Results:The AHI and IL-6 levels in the severe group were significantly higher than those in the mild and moderate groups, while the levels of NO and PO2 were significantly lower in the severe group compared to the mild and moderate groups, with statistically significant differences among the three groups （P<0.05）. After treatment, all groups showed improvement, and the proportion of patients with collateral circulation was 84.09% in the mild group, 81.94% in the moderate group, and 72.22% in the severe group. Significant differences in age, AHI, NIHSS, NO, MoCA, and MMSE scores were observed between the groups with and without collateral circulation （P<0.05）. In the group with collateral circulation, the scores for age, AHI, and NIHSS in the good collateral circulation subgroup were significantly lower than those in the poor collateral circulation and moderate collateral circulation subgroups, while the scores for NO, MoCA, and MMSE were significantly higher in the good collateral circulation subgroup. Multi-factor analysis revealed that age, AHI, and NIHSS were independent risk factors for collateral circulation, whereas NO, MoCA, and MMSE served as protective factors that were negatively correlated with collateral circulation. Classification tree model results indicated that AHI had the greatest influence on the occurrence of collateral circulation among the five influencing factors, demonstrating good predictive capability. Conclusion:Most high-risk patients with sleep apnea and stroke are likely to develop collateral circulation following continuous positive airway pressure ventilation. Factors such as age, AHI, NIHSS, NO, MoCA, and MMSE are important determinants affecting the occurrence of collateral circulation.
Humans ; Collateral Circulation ; Continuous Positive Airway Pressure ; Stroke/physiopathology* ; Sleep Apnea, Obstructive/physiopathology* ; Risk Factors ; Male ; Incidence ; Female ; Middle Aged ; Aged ; Sleep Apnea Syndromes/physiopathology* ; Interleukin-6/blood*

Local anesthetics (LAs), such as articaine (AT), exhibit limited efficacy in inflammatory environments, which constitutes a significant limitation in their clinical application within oral medicine. In our prior research, we developed AT-17, which demonstrated effective properties in chronic inflammatory conditions and appears to function as a novel oral LA that could address this challenge. In the present study, we further elucidated the beneficial effects of AT-17 in acute inflammation, particularly in oral acute inflammation, where mitochondrial-related apoptosis played a crucial role. Our findings indicated that AT-17 effectively inhibited lipopolysaccharide (LPS)-induced nerve cell apoptosis by ameliorating mitochondrial dysfunction in vitro. This process involved the inhibition of mitochondrial reactive oxygen species (mtROS) production and the subsequent activation of the NRF2 pathway. Most notably, improvements in mitochondria-related apoptosis were key contributors to AT-17's inhibition of voltage-gated sodium channels. Additionally, AT-17 was shown to reduce mtROS production in nerve cells through the Na⁺/NCLX/ETC signaling axis. In conclusion, we have developed a novel local anesthetic that exhibits pronounced anesthetic functionality under inflammatory conditions by enhancing mitochondria-related apoptosis. This advancement holds considerable promise for future drug development and deepening our understanding of the underlying mechanisms of action.

Early correction of childhood malocclusion is timely managing morphological, structural, and functional abnormalities at different dentomaxillofacial developmental stages. The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion. This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence, aiming to provide general guidance on appropriate imaging examination selection, comprehensive and accurate imaging assessment for early orthodontic treatment patients.
Humans ; Malocclusion/diagnostic imaging* ; Child ; Consensus

Ankylosing spondylitis (AS) is linked to an increased prevalence of myocardial infarction (MI). However, research dedicated to elucidating the pathogenesis of AS-MI is lacking. In this study, we explored the biomarkers for enhancing the diagnostic and therapeutic efficiency of AS-MI. Datasets were obtained from the Gene Expression Omnibus database. We employed weighted gene co-expression network analysis and machine learning models to screen hub genes. A receiver operating characteristic curve and a nomogram were designed to assess diagnostic accuracy. Gene set enrichment analysis was conducted to reveal the potential function of hub genes. Immune infiltration analysis indicated the correlation between hub genes and the immune landscape. Subsequently, we performed single-cell analysis to identify the expression and subcellular localization of hub genes. We further constructed a transcription factor (TF)-microRNA (miRNA) regulatory network. Finally, drug prediction and molecular docking were performed. S100A12 and MCEMP1 were identified as hub genes, which were correlated with immune-related biological processes. They exhibited high diagnostic value and were predominantly expressed in myeloid cells. Furthermore, 24 TFs and 9 miRNA were associated with these hub genes. Enzastaurin, meglitinide, and nifedipine were predicted as potential therapeutic agents. Our study indicates that S100A12 and MCEMP1 exhibit significant potential as biomarkers and therapeutic targets for AS-MI, offering novel insights into the underlying etiology of this condition.
Humans ; Spondylitis, Ankylosing/complications* ; Systems Biology/methods* ; Myocardial Infarction/diagnosis* ; Biomarkers/metabolism* ; MicroRNAs/genetics* ; Gene Regulatory Networks ; Gene Expression Profiling ; Machine Learning

The quality of traditional Chinese medicine (TCM) prescriptions (TCMPs) is critical to clinical efficacy; however, evaluating their consistency and identifying sources of variability remain challenging. This study proposes an integrated strategy to assess the quality of 100 widely sold TCMPs. A "one-for-all" chromatographic method was employed to analyze 645 sample batches. This large-scale data collection enabled statistical evaluations, such as hierarchical cluster analysis (HCA) and similarity heatmap, to identify quality inconsistencies. The introduction of a TCM-specific mass spectrometry (MS) database allowed for rapid, automated annotation of chemicals across 100 prescriptions and facilitated the tracing of raw material sources. Results indicate that 19% of prescriptions exhibited chemical inconsistencies, which are associated with high market value, low pricing, and substantial price disparities. The MS database allowed rapid annotation of 761 and 673 compounds in positive and negative modes, respectively, in 100 TCMPs, with 73 prescriptions reported for the first time. The tracing efforts succeeded in identifying >40% of the raw material sources for 51 prescriptions. P93 (Yinianjin (YNJ)) is a case in which the chromatographic profiles from three manufacturers displayed inconsistencies. Analysis using the database traced divergent peaks to Rhei Radix et R hizoma (RRER). Verification with self-prepared samples confirmed that manufacturers utilized three distinct botanical sources. This integrated strategy provides a scalable framework for quality control in TCMPs.