Background China is a major coal producer and consumer country in the world. Coal workers' pneumoconiosis (CWP) is a primary factor endangering the occupational health of coal miners. Research on the disease burden of CWP and its changing trend is significant for disease prevention & control and associated policies. Objective To analyze the disease burden of CWP in China from 1990 to 2021 and its changing trend, and predict the disease burden from 2022 to 2035. Methods Using the Global Burden of Disease Study (GBD) database of 2021, numbers ofincident cases, prevalent cases, deaths, and disability-adjusted life years (DALYs) as well as crude and age-standardized rates of CWP in China were retrieved. Linear regression model was used to calculate the estimated annual percentage change (EAPC) of the age-standardized rates. Joinpoint regression model was used to analyze the temporal trend of disease burden and the disease burden of different sexes and age groups, and Bayesian age-period-cohort (BAPC) model was used to forecast the trend of CWP disease burden. Results In 1990, the incident, prevalent, and deaths cases of CWP in China were 3266, 18872, and 1561, respectively, and the DALYs of CWP were 44614.718 person-years. In 2021, the incident, prevalent, and deaths cases of CWP were 3446, 23975, and 1229, respectively, and the DALYs of CWP were 29610.754 person-years. From 1990 to 2021, the age-standardized incidence, prevalence, mortality, and DALYs rates of CWP in China all showed a downward trend, with the EAPCs of −3.121%, −2.532%, −4.018%, and −4.268%, respectively. The disease burden of CWP in China was mainly concentrated in the male population. The annual average percent change analysis indicated that each standardized rate showed a fluctuating downward trend in different periods. The BAPC model showed that from 2022 to 2035, the age-standardized rates of CWP in China would continue to decline steadily. In 2035, the age-standardized incidence, prevalence, mortality, and DALYs rates of CWP would be reduced to 0.10 per 100000, 0.74 per 100000, 0.03 per 100000, and 0.74 per 100000, respectively. Conclusion The disease burden contributed by CWP in China generally show a downward trend from 1990 to 2021, and it is expected that the age-standardized rates will continue to decline steadily from 2022 to 2035.

Tongue squamous cell carcinoma (TSCC) is a prevalent malignancy that afflicts the head and neck area and presents a high incidence of metastasis and invasion. Accurate diagnosis and effective treatment are essential for enhancing the quality of life and the survival rates of TSCC patients. The current treatment modalities for TSCC frequently suffer from a lack of specificity and efficacy. Nanoparticles with diagnostic and photothermal therapeutic properties may offer a new approach for the targeted therapy of TSCC. However, inadequate accumulation of photosensitizers at the tumor site diminishes the efficacy of photothermal therapy (PTT). This study modified gold nanodots (AuNDs) with the TSCC-targeting peptide HN-1 to improve the selectivity and therapeutic effects of PTT. The Au-HN-1 nanosystem effectively targeted the TSCC cells and was rapidly delivered to the tumor tissues compared to the AuNDs. The enhanced accumulation of photosensitizing agents at tumor sites achieved significant PTT effects in a mouse model of TSCC. Moreover, owing to its stable long-term fluorescence and high X-ray attenuation coefficient, the Au-HN-1 nanosystem can be used for fluorescence and computed tomography imaging of TSCC, rendering it useful for early tumor detection and accurate delineation of surgical margins. In conclusion, Au-HN-1 represents a promising nanomedicine for imaging-based diagnosis and targeted PTT of TSCC.
Tongue Neoplasms/diagnostic imaging* ; Carcinoma, Squamous Cell/diagnostic imaging* ; Animals ; Gold/chemistry* ; Mice ; Photothermal Therapy/methods* ; Tomography, X-Ray Computed ; Photosensitizing Agents ; Metal Nanoparticles ; Humans ; Cell Line, Tumor

OBJECTIVE: In order to enhance the efficacy of anti-breast cancer, paclitaxel nanoparticles (PTX NPs) and polypyrrole nanoparticles (PPy NPs) were combined with photothermal therapy and chemotherapy. At the same time, the two dosage forms of PTX NPs and PTX NPs gel were compared. METHODS: PTX NPs were prepared by self-assembly method, and then the cytotoxicity in vitro was investigated by Methyl thiazolyl tetrazolium (MTT) and other methods, and the efficacy and side effects in vivo were further investigated. RESULTS: The average hydrated diameter, PDI and electric potential of PTX NPs were (210.20 ± 1.57) nm, (0.081 ± 0.003) mV and (15.80 ± 0.35) mV, respectively. MTT results showed that the IC₅₀ value of PTX NPs on 4 T1 cells was 0.490 μg/mL, while that of PTX injection was 1.737 μg/mL. The cell inhibitory effect of PTX NPs was about 3.5 times higher than that of PTX injection. The tumor inhibition rates of PTX NPs and gel were 48.64% and 56.79%, respectively. Together with local photothermal stimulation, the tumor inhibition rate of the PTX NPs reached 91.05%, surpassing that of the gel under the same conditions (48.98%), moreover, the organ index and H&E staining results of PTX NPs showed a decrease in toxicity. CONCLUSION This combination therapy can significantly enhance the effect of anti-breast cancer, and the synergistic effect of chemotherapy and light and heat provides a feasible and effective strategy for the treatment of tumor.

Diabetic cardiomyopathy (DCM) is a medical condition characterized by cardiac remodeling and dysfunction in individuals with diabetes mellitus. Sarcoplasmic reticulum (SR) and mitochondrial Ca²⁺ overload in cardiomyocytes have been recognized as biological hallmarks in DCM; however, the specific factors underlying these abnormalities remain largely unknown. In this study, we aimed to investigate the role of a cardiac-specific long noncoding RNA, D830005E20Rik (Trdn-as), in DCM. Our results revealed the remarkably upregulation of Trdn-as in the hearts of the DCM mice and cardiomyocytes treated with high glucose (HG). Knocking down Trdn-as in cardiac tissues significantly improved cardiac dysfunction and remodeling in the DCM mice. Conversely, Trdn-as overexpression resulted in cardiac damage resembling that observed in the DCM mice. At the cellular level, Trdn-as induced Ca²⁺ overload in the SR and mitochondria, leading to mitochondrial dysfunction. RNA-seq and bioinformatics analyses identified calsequestrin 2 (Casq2), a primary calcium-binding protein in the junctional SR, as a potential target of Trdn-as. Further investigations revealed that Trdn-as facilitated the recruitment of METTL14 to the Casq2 mRNA, thereby enhancing the m⁶A modification of Casq2. This modification increased the stability of Casq2 mRNA and subsequently led to increased protein expression. When Casq2 was knocked down, the promoting effects of Trdn-as on Ca²⁺ overload and mitochondrial damage were mitigated. These findings provide valuable insights into the pathogenesis of DCM and suggest Trdn-as as a potential therapeutic target for this condition.
Animals ; Diabetic Cardiomyopathies/pathology* ; RNA, Long Noncoding/genetics* ; Myocytes, Cardiac/metabolism* ; Mice ; Calsequestrin/genetics* ; Calcium/metabolism* ; Male ; Sarcoplasmic Reticulum/metabolism* ; Methyltransferases/metabolism* ; Mice, Inbred C57BL ; Mitochondria, Heart/metabolism* ; Disease Models, Animal ; Mitochondria/metabolism*

OBJECTIVES: This study aimed to explore the clinical efficacy of severe early childhood caries (SECC) treatment combined with local anesthesia under general anesthesia. METHODS: A total of 108 children under 6 years old who underwent SECC dental treatment under general anesthesia at the Department of Pediatric Dentistry, Third Affiliated Hospital of Air Force Medical University from March to December 2023 were selected as the study subjects, with American Society of Anesthesiologists (ASA) classification of classⅠor Ⅱ. The study subjects were divided into a control group (n=54) and an experimental group (n=54) by retrieving intraoperative cases and postoperative follow-up records. The control group was given general anesthesia through inhalation combined with nasotracheal intubation, whereas the experimental group was given local anesthesia with 2% lidocaine on each treated tooth on the basis of general anesthesia. The basic information, preoperative anesthesia depth, hemodynamic changes during different surgical procedures, postoperative pain, and adverse reactions in the two groups were recorded and analyzed. RESULTS: No statistically significant difference was found in the basic information and preoperative anesthesia depth between the two groups (P>0.05). Among the three procedures (pulpotomy, root canal treatment, and tooth extraction), the three observed indicators in the experimental group were significantly lower than those in the control group (P<0.05). The proportion of patients in the experimental group who needed to take analgesic measures in accordance with the modified facial pain scale (FPS-R) score was significantly lower than that in the control group at postoperative wakefulness and 2 h after surgery (P<0.05). Meanwhile, no statistically significant difference was observed between the groups at 24 h after surgery (P>0.05). The proportion of patients in the experimental group who needed to take analgesic measures on the basis of the parent posto-perative pain measurement (PPPM) score was significantly lower than that in the control group when they were awake after surgery (P<0.05). No statistically significant difference was found between the groups at 2 and 24 h after surgery (P>0.05). Moreover, no statistically significant difference was observed in the incidence of adverse reactions between the two groups at 24 h after surgery (P>0.05). CONCLUSIONS The combination of local anesthesia during SECC dental treatment under general anesthesia results in minimal changes in intraoperative hemodynamics and mild postoperative pain response, hence worthy of clinical promotion.
Humans ; Anesthesia, General ; Child, Preschool ; Dental Caries/therapy* ; Pain, Postoperative/prevention & control* ; Anesthesia, Local/methods* ; Male ; Hemodynamics ; Female ; Lidocaine/administration & dosage* ; Child ; Anesthetics, Local/administration & dosage* ; Anesthesia, Dental/methods*

Objective: To review the current development of artificial intelligence (AI) technology in the field of transfusion medicine. Methods: A systematic search was conducted in the Clarivate Web of Science Database from inception to December 2024 for literature related to AI and transfusion. A total of 4 775 publications were identified. Based on inclusion and exclusion criteria, 133 original studies were ultimately included and analyzed using a narrative synthesis approach. Results: Research on AI in transfusion has surged since 2020 (accounting for 77% of all publications), with China ranking second globally in publication volume. Among the included studies, 69.2% focused on predicting individual transfusion needs, followed by inventory management (8.3%), diagnosis and prediction of adverse transfusion reactions (6.0%), factors influencing transfusion outcomes (5.3%), blood group identification (5.3%), blood quality testing (4.5%), and precise blood volume measurement (1.5%). Additionally, 4.5% of the studies were published in journals with an impact factor greater than 10; 19.5% developed software or applications; 31.5% were multi-center studies; 48.1% utilized decision tree methods, while 31.5% employed neural network approaches; and 14.2% conducted external validation of the algorithms. Conclusion: AI demonstrates significant potential in transfusion risk prediction, decision support, and blood management. However, challenges remain, including limited model generalizability, insufficient algorithm interpretability, and barriers to clinical translation. The deep integration of AI with transfusion medicine will accelerate the advent of precision transfusion era, maximizing blood resource utilization, reducing waste, and ensuring transfusion safety.

Objective To analyze the current state,research hotspots,and development trends of electroencephalography(EEG)applied in the field of autism spectrum disorder(ASD). Methods Relevant literature from the Web of Science core collection database from January,2014 to January,2024 were retrieved and analyzed using CiteSpace 6.2.R4. Results A total of 1 509 articles were included,with an increasing trend in publication volume over the years.The United States ranked highest in both publication volume and node centrality.The primary journals in this field were concentrated in clinical medicine,immunology and psychology.Keyword co-occurrence and clustering indicated that research primarily focused on the correlation between core symptoms of ASD and EEG indicators,differential diagnosis of ASD and its comorbidities,brain functional connectivity,and assessment of rehabilitation efficacy.Keywords bursted in the past three years mainly included artificial intelligence and machine learning. Conclusion The researches in EEG technology in the field of ASD is generally increasing.Future researches may focus on exploring the brain network mechanisms of ASD using EEG combined with multimodal neuroimaging,and machine learning technologies.

Objective:To analyze the results of lymphocyte subsets and 12 plasma cytokines in patients with tuberculosis by flow cytometry and to evaluate their diagnostic efficacy in these patients.Methods:This is a retrospective case-control study. A total of 128 patients with evidence of tuberculosis disease or clinically confirmed tuberculosis who were admitted to the 8th Medical Center of PLA General Hospital from January 2022 to December 2023 were included. According to the location of mycobacterium tuberculosis infection, the patients were divided into the pulmonary tuberculosis group (83 cases) and the extrapulmonary tuberculosis group (45 cases), and 100 healthy age-and sex matched people who underwent health check up during the study period were selected as the control group. Flow cytometry was used to detect peripheral blood lymphocyte subsets and 12 plasma cytokines [including 10 pro-inflammatory factors: interleukin (IL)-5, interferon (IFN)-α, IL-2, IL-6, IL-1β, IFN-γ, IL-8, IL-17, IL-12P70, Tumor necrosis factor (TNF)-α, and two anti-inflammatory factors: IL-4, IL-10] in participants of all groups. Spearman correlation method was used to analyze the correlation between lymphocyte subsets and cytokines, binary Logistic regression was used to screen the TB related factors, and receiver operating curve (ROC) was used to evaluate the diagnostic efficacy of TB related factors.Results:Compared with the control group, the absolute number of CD3 +T lymphocytes, CD3 +CD8 +T lymphocytes, CD3 +CD4 +T lymphocytes, NK cells and B cells were lower in pulmonary tuberculosis group and extrapulmonary tuberculosis group (all P<0.05). Except for IL-1β, the levels of other 11 cytokines are all significantly higher in the pulmonary tuberculosis group (all P<0.01), and the levels of IL-6, IFN-γ, IL-17, TNF-α, IL-4 and IL-10 were significantly higher in extrapulmonary tuberculosis group (all P<0.05). Compared with extrapulmonary tuberculosis group, the level of IL-8 was higher in pulmonary tuberculosis group ( P=0.026). Spearman correlation analysis showed that IL-6, IFN-γ and IL-8 were negatively correlated with the absolute numbers of CD3 +T lymphocytes, CD3 +CD8 +T lymphocytes, CD3 +CD4 +T lymphocytes, NK cells and B cells (IL-6: R2=-0.30, -0.28, -0.32, -0.26, -0.28; IFN-γ: R2=-0.36, -0.31, -0.37, -0.25, -0.36; IL-8: R2=-0.14, -0.13, -0.16, -0.14, -0.22; all P<0.05), IL-10 was negatively correlated with the absolute number of CD3 +CD4 +T lymphocytes, NK cells and B cells ( R 2=-0.14, -0.19, -0.21, all P<0.05); Binary Logistic regression analysis showed that IL-6, IFN-γ, IL-8 and IL-10 were the related factors of tuberculosis ( OR=1.809, 1.136, 0.910, 2.218, all P<0.05), ROC curve analysis showed that the AUC of IL-6, IFN-γ, IL-8 and IL-10 in the joint diagnosis of tuberculosis was 0.845, the sensitivity was 0.766, and the specificity was 0.820. Conclusion:The lower absolute number of lymphocyte subsets and cytokine levels in patients with pulmonary tuberculosis and extrapulmonary tuberculosis indicate that their immune function is in a low state, and the higher levels of pro-inflammatory factors (IL-6, IFN-γ, IL-8) and anti-inflammatory factor (IL-10) indicates the higher inflammatory status, and evaluation of these 4 cytokines has satisfactory diagnostic efficacy for tuberculosis.

Objective:To analyze the clinical characteristics, treatment, and outcomes of children with complete left bundle branch block (CLBBB) mediated by maternal autoantibodies.Methods:A retrospective analysis was conducted on nine children diagnosed with maternal autoantibody-mediated CLBBB, treated at Beijing Anzhen Hospital and Fujian Provincial Hospital from March 2015 to August 2023. Their clinical characteristics, electrocardiographic and echocardiographic findings before and after treatment were reviewed. Paired sample t-test was used for inter-group comparison. Results:Among the mothers, 6 had positive antinuclear antibodies (ANA), 5 had anti-Sjogren syndrome antigen A antibodies, and 3 had anti-Ro-52 antibodies. The cohort included one female and eight male children, diagnosed with CLBBB at the age of 1 (2, 13) months. The positive autoantibodies in the infants, consisted with maternal antibodies, were detected within the first 3 months of life among 3 cases. Treatments included anti-heart failure therapy, myocardial nutritional support, intravenous immunoglobulin (IVIG) and glucocorticoids. Before treatment, the levels of troponin I (0.175 (0.060, 10.270) μg/L) and N-terminal pro-B-type natriuretic peptide (420 (327, 12 865) ng/L) were elevated, which normalized in most cases after treatment. Post-treatment, the QRS duration significantly shortened compared to pre-treatment ((137±15) vs.(169±25) ms, t=3.76, P<0.001), and the QTc interval significantly decreased ((433±41) vs. (514±27) ms, t=4.95, P=0.001). Before treatment, varying degrees of mitral and tricuspid regurgitation and marked interventricular septal dyskinesia were observed in echocardiography. After treatment, valve regurgitation and ventricular septum motion significantly improved, with a marked increase in left ventricular ejection fraction ((51±13)% vs. (27±6)%, t=-6.66, P<0.001). Conclusions:Maternal autoantibody-mediated CLBBB in children presents with chronic heart failure in infancy. Early treatment with anti-heart failure medications, IVIG and glucocorticoids can improve clinical symptoms.

Objective:To explore the latent profile types of capability-opportunity-motivation-behavior in stroke patients and analyze the influencing factors of different latent profiles.Methods:From January to October 2023, totally 596 stroke patients from the Neurology Department of five ClassⅢ Grade A hospitals in Henan Province were selected by stratified random sampling. The patients were surveyed using a general information questionnaire, the Stroke Prevention Knowledge Questionnaire (SPKQ), the Social Support Rating Scale (SSRS), the WHO's Quality of Life Questionnaire- Brief Version (WHOQOL-BREF), the Short Form Health Belief Model Scale (SF-HBMS), and the Health Promoting Lifestyle ProfileⅡ (HPLPⅡ). Latent profile analysis was used to classify the capability-opportunity-motivation-behavior characteristics of stroke patients, and multiple logistic regression was conducted to explore the influencing factors of different latent profiles.Results:Three latent profiles of capability-opportunity-motivation-behavior in stroke patients were identified, including low capability-opportunity-motivation-behavior with high health beliefs (32.4%, 193/596), moderate capability-opportunity-motivation-behavior with insufficient health beliefs (47.5%, 283/596), and high capability-opportunity-motivation-behavior with lack of social support (20.1%, 120/596). Multiple logistic regression analysis showed that educational level, smoking history, family history, body mass index, and Charlson Comorbidity Index score were influencing factors of different latent profiles ( P<0.05) . Conclusions:Stroke patients exhibit distinct classifications of capability-opportunity-motivation-behavior. Targeted interventions should be conducted based on the characteristics of each category to improve health behavior management outcomes in patients.