The classic formula Mulisan is the 45th of the 93 formulas in the Catalogue of Ancient Classic Formulas （second batch） of Han medicine published by the National Administration of Traditional Chinese Medicine. It consists of Ostreae Concha， Astragali Radix， Ephedrae Radix et Rhizoma， and wheat， with the effect of replenishing qi and stopping sweating. It is a common formula in the clinical treatment with traditional Chinese medicine. This study analyzes the historical evolution， composition， dosage， original plants and their processing methods， decocting method， efficacy， indications， and modern clinical application of Mulisan by tracing， comparative analysis， and bibliometric methods. The results showed that Mulisan firstly appeared in the Pulse Classic written by WANG Shuhe in the Western Jin Dynasty. The formulation idea can be traced back to the Important Prescriptions Worth a Thousand Gold for Emergency in the Tang Dynasty. The herb composition， dosage， efficacy， and indications of Mulisan were first recorded in the Treatise on Diseases， Patterns， and formulas Related to Unification of the Three Etiologies in the Southern Song dynasty. In terms of original plants and their processing methods， Ostreae Concha is the shell of Ostrea rivularis， which should be calcined before use. Astragali Radix and Ephedrae Radix et Rhizoma are the dried roots of Astragalus membranaceus var. mongholicus and Ephedra sinica， respectively， the raw material of which should be used. Wheat is the dried mature fruit of T. aestivum， which can be used without processing， while the stir-fried fruit， being thin and deflated， demonstrates better effect. The composition of Mulisan is Ostreae Concha 8.26 g， Astragali Radix 8.26 g， Ephedrae Radix et Rhizoma 8.26 g， and wheat 7.92 g. The medicinal materials should be ground into coarse powder and decocted with 450 mL water to reach a volume of 240 mL， and the decoction should be taken warm. In modern clinical practice， Mulisan has a wide range of indications， including spontaneous sweating and night sweating caused by Yang deficiency or Qi deficiency. The clinical disease spectrum treated by Mulisan involves endocrine system diseases， neurological diseases， respiratory system diseases， and cancer. This formula plays a significant role in the treatment of internal medicine diseases in traditional Chinese medicine. This study aims to provide a scientific basis for the subsequent research， development， and clinical application of Mulisan.

The classic formula Mulisan is the 45th of the 93 formulas in the Catalogue of Ancient Classic Formulas （second batch） of Han medicine published by the National Administration of Traditional Chinese Medicine. It consists of Ostreae Concha， Astragali Radix， Ephedrae Radix et Rhizoma， and wheat， with the effect of replenishing qi and stopping sweating. It is a common formula in the clinical treatment with traditional Chinese medicine. This study analyzes the historical evolution， composition， dosage， original plants and their processing methods， decocting method， efficacy， indications， and modern clinical application of Mulisan by tracing， comparative analysis， and bibliometric methods. The results showed that Mulisan firstly appeared in the Pulse Classic written by WANG Shuhe in the Western Jin Dynasty. The formulation idea can be traced back to the Important Prescriptions Worth a Thousand Gold for Emergency in the Tang Dynasty. The herb composition， dosage， efficacy， and indications of Mulisan were first recorded in the Treatise on Diseases， Patterns， and formulas Related to Unification of the Three Etiologies in the Southern Song dynasty. In terms of original plants and their processing methods， Ostreae Concha is the shell of Ostrea rivularis， which should be calcined before use. Astragali Radix and Ephedrae Radix et Rhizoma are the dried roots of Astragalus membranaceus var. mongholicus and Ephedra sinica， respectively， the raw material of which should be used. Wheat is the dried mature fruit of T. aestivum， which can be used without processing， while the stir-fried fruit， being thin and deflated， demonstrates better effect. The composition of Mulisan is Ostreae Concha 8.26 g， Astragali Radix 8.26 g， Ephedrae Radix et Rhizoma 8.26 g， and wheat 7.92 g. The medicinal materials should be ground into coarse powder and decocted with 450 mL water to reach a volume of 240 mL， and the decoction should be taken warm. In modern clinical practice， Mulisan has a wide range of indications， including spontaneous sweating and night sweating caused by Yang deficiency or Qi deficiency. The clinical disease spectrum treated by Mulisan involves endocrine system diseases， neurological diseases， respiratory system diseases， and cancer. This formula plays a significant role in the treatment of internal medicine diseases in traditional Chinese medicine. This study aims to provide a scientific basis for the subsequent research， development， and clinical application of Mulisan.

BACKGROUND: Without timely and effective rehabilitation, hearing loss may profoundly affect human life quality. China has a large population of hearing-impaired individuals, which imposes a heavy health burden on society. Moreover, this population is projected to increase rapidly owing to China's aging society. METHODS: We used data from a population-representative epidemiological investigation of hearing loss and ear diseases in four Chinese provinces. We estimated the national prevalence using multiple linear regression of the age-group proportions and prevalence in 31 provinces with clustering analysis. We used years lived with disability (YLDs) to analyze the disease burden and forecasted the prevalence of hearing loss by 2060 in China. RESULTS: An estimated 115 million people had moderate-to-complete hearing loss in 2015 across the 31 provinces of China (8.4% of 1.37 billion people). Of these, 85.7% were older than age 50 years (99 million people) and 2.4% were younger than 20 years old (2.8 million people). Of all YLDs attributable to hearing loss, 68.9% were attributable to moderate-to-complete cases. By 2060, a projected 242 million people in China will have moderate-to-complete hearing loss, a 110.0% increase from 2015. CONCLUSIONS The hearing loss prevalence in China is high. Population aging and socioeconomic factors substantially affect the prevalence and severity of hearing loss and the disease burden. The prevalence and severity of hearing loss are unevenly distributed across different provinces. Future public health policies should take these trends and regional variations into account.
Humans ; China/epidemiology* ; Hearing Loss/epidemiology* ; Prevalence ; Middle Aged ; Male ; Female ; Adult ; Aged ; Adolescent ; Young Adult ; Child ; Child, Preschool ; Infant ; Aged, 80 and over ; Cost of Illness

Colorectal polyps are important early markers of colorectal cancer, and their early detection is crucial for cancer prevention. Although existing polyp segmentation models have achieved certain results, they still face challenges such as diverse polyp morphology, blurred boundaries, and insufficient feature extraction. To address these issues, this study proposes a parallel coordinate fusion network (PCFNet), aiming to improve the accuracy and robustness of polyp segmentation. PCFNet integrates parallel convolutional modules and a coordinate attention mechanism, enabling the preservation of global feature information while precisely capturing detailed features, thereby effectively segmenting polyps with complex boundaries. Experimental results on Kvasir-SEG and CVC-ClinicDB demonstrate the outstanding performance of PCFNet across multiple metrics. Specifically, on the Kvasir-SEG dataset, PCFNet achieved an F1-score of 0.897 4 and a mean intersection over union (mIoU) of 0.835 8; on the CVC-ClinicDB dataset, it attained an F1-score of 0.939 8 and an mIoU of 0.892 3. Compared with other methods, PCFNet shows significant improvements across all performance metrics, particularly in multi-scale feature fusion and spatial information capture, demonstrating its innovativeness. The proposed method provides a more reliable AI-assisted diagnostic tool for early colorectal cancer screening.
Humans ; Colonic Polyps/diagnostic imaging* ; Colorectal Neoplasms/diagnostic imaging* ; Neural Networks, Computer ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Early Detection of Cancer

In epidemiological statistics, the incidence rate and mortality rate of malignant lung tumors rank among the top. Non-small cell lung cancer (NSCLC) constitutes an important part of lung cancer and has become a key focus of clinical research and treatment. Among the genomic characteristics of NSCLC, the Kirsten rat sarcoma viral oncogene homolog (KRAS) mutation is one of the main tumor drivers, accounting for approximately 25% of all NSCLC cases. The existence of this mutation is closely related to the treatment response and prognosis of patients. Therefore, the treatment strategy for KRAS-mutated NSCLC is an important topic in the field of tumor research. In the current era, immunomodulatory therapy has rapidly gained popularity and developed rapidly in oncology due to its unique mechanism of action and remarkable clinical efficacy. The treatment strategies targeting the KRAS-mutated of NSCLC have gradually become a research hotspot. The advent of immune checkpoint inhibitors (ICIs) has opened up a new therapeutic avenue for patients with such cancers, and clinical studies have shown significant effects in improving survival rates. Nevertheless, there are still many challenges in the application of immunotherapy, such as the complexity of the tumor microenvironment, individual differences among patients, and drug resistance mechanisms. This article reviews the progress of immunotherapy for KRAS-mutated NSCLC, focusing on the specific application of immunotherapy, the exploration of combination therapies, and the results of related clinical trials. At the same time, it discusses the possible future development directions of KRAS-mutated NSCLC treatment, providing a reference for clinical treatment practice.
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Humans ; Carcinoma, Non-Small-Cell Lung/immunology* ; Lung Neoplasms/immunology* ; Proto-Oncogene Proteins p21(ras)/immunology* ; Immunotherapy/methods* ; Mutation ; Animals

In recent years, the widespread application of chest computed tomography (CT) screening has led to a significant increase in the detection rate of pulmonary nodules. As a critical diagnostic tool for early-stage lung cancer, video-assisted thoracic surgery (VATS) has emerged as the preferred therapeutic approach for pulmonary nodules. Clinical evidence demonstrates that precise preoperative localization significantly enhances surgical success rates (reducing conversion to thoracotomy), minimizes complications, and shortens operation time. This comprehensive review systematically evaluates six cutting-edge localization techniques: percutaneous puncture-assisted localization, electromagnetic navigation bronchoscopy (ENB) localization, 3D-printed auxiliary localization, basin-analysis-based localization, robotic navigation system localization, and mixed reality (MR)-guided localization. By critically analyzing their operational principles, efficacy, safety profiles, and clinical applicability, this paper aims to provide evidence-based recommendations for optimizing clinical decision-making in pulmonary nodule management.
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Humans ; Lung Neoplasms/diagnosis* ; Solitary Pulmonary Nodule/diagnostic imaging* ; Thoracic Surgery, Video-Assisted/methods* ; Multiple Pulmonary Nodules/diagnostic imaging* ; Tomography, X-Ray Computed

Bispecific killer cell engagers (BiKEs) are a powerful tool to incite the killing power of natural killer (NK) cells. Here, we posited that the BiKE technology could be utilized to deplete activated immune cells expressing programmed death-1 (PD-1⁺ cells), and hence treat autoimmune diseases since these cells drive the disorders. We designed and generated PD-1 BiKE that targets an activating NK cell receptor, CD16, and PD-1. PD-1 BiKE showed specific binding to PD-1⁺ cells and engaged CD16 simultaneously. PD-1 BiKE enhanced NK cell-mediated apoptosis and depletion of PD-1⁺ Raji cells, but not PD-1^- Raji cells. Further, PD-1 BiKE induced apoptosis of primary PD-1⁺ T lymphocytes that are highly relevant to autoimmune disease progression. The BiKE depleted 42% of primary T cells that were stimulated in vitro. Importantly, those ablated primary T cells were activated cells. Meanwhile, naive T cells were spared by the BiKE treatment, supporting the crucial selectivity of PD-1 BiKE-directed cell depletion. Lastly, PD-1 BiKE is more effective than a conventional depleting antibody in the depletion of PD-1⁺ cells. The current work supports PD-1 BiKE is a selective, potent, and safe tool to deplete PD-1⁺ cells.

Objective: To analyze the timeliness of antir-etroviral therapy (ART) and its influencing factors among newly reported HIV/AIDS cases in Wenzhou City, Zhejiang Province from 2016 to 2023, so as to provide a reference for improving the ART effect of HIV/AIDS cases. Methods: Newly reported HIV/AIDS cases in Wenzhou City from 2016 to 2023 were selected as the research subjects. Demographic information, the situation of the first CD4+ T lymphocyte (CD4 cell) test, baseline CD4 cell count, and ART situation were collected through the Chinese Disease Prevention and Control Information System. The timely rate of ART was analyzed, and the influencing factors for timely ART among HIV/AIDS cases were analyzed using a multivariable logistic regression model. Results: A total of 4 500 newly reported HIV/AIDS cases in Wenzhou City from 2016 to 2023 were included, among which 3 679 were males, accounting for 81.76%, and 821 were females, accounting for 18.24%. The median age was 46.24 (interquartile range, 26.23) years. Among these cases, 3 606 received timely ART, with a timely rate of 80.13%. The timely rate of ART increased from 57.54% in 2016 to 91.97% in 2023 (P<0.05). Multivariable logistic regression analysis showed that unmarried/divorced/widowed (OR=0.769, 95%CI: 0.641-0.922), detainees (OR=0.492, 95%CI: 0.269-0.900), untimely first CD4 cell test (OR=0.278, 95%CI: 0.234-0.330), baseline CD4 cell count ≥200 cells/µL (OR=0.709, 95%CI: 0.595-0.843) or undetected (OR=0.131, 95%CI: 0.080-0.213) were associated with a lower timeliness for ART among HIV/AIDS cases. Conclusion From 2016 to 2023, the timely rate of ART among newly reported HIV/AIDS cases in Wenzhou City showed an upward trend, which was mainly affected by marital status, case source, timeliness of the first CD4 cell test, and baseline CD4 cell count.

Objective To develop a deep learning method for small sample multi-omics data using attention mechanism and Meta-learning for the establishment of autism diagnosis model.Methods MLAN(Meta-learning based attentive network)consisting of the omics feature pre-reduction module,the multi-omics data fusion and feature learning module,and the parameter optimization module was designed.Firstly,differential expression analysis was performed on high-dimensional multi-omics data to preliminarily screen out unimportant features.Secondly,a multi-channel attention mechanism was used to learn the importances of every set of omics data and to realize data fusion,and a two-layer fully connected network was constructed to further extract latent features and realize the diagnosis task.Finally,the Meta-learning algorithm Reptile was used to optimize the initial parameters of the above model to obtain the optimal parameters.A total of 58 children's saliva samples were collected,including 21 children diagnosed with autism,12 children with social disorders,and 25 healthy controls,and the protein and metabolomics data were detected by mass spectrometry.All data were randomly divided into training set and test set by 4∶1,and the training set was divided into training data and validation data in the same way for model training and validation.The test set was used for the final evaluation of the model effect.Five baseline models and three ablated models were constructed and evaluated along with MLAN based on metrics including multi-classification accuracy,F1-macro and F1-weighted scores.Results The constructed multi-classification autism diagnosis model MLAN achieved multi-classification accuracy,F1-macro and F1-weighted scores of 0.850±0.066,0.817±0.103 and 0.834±0.087.The values of all three indicators were better than those of baseline models and the ablated models.Conclusion The proposed MLAN can effectively deal with heterogeneous multi-omics data with small samples and achieve good results,which is expected to provide assistance for the clinical diagnosis of autism.

Objective:To analyze the revision strategies for failed atlantoaxial dislocation (AAD) surgery.Methods:A retrospective analysis was conducted on 145 patients who underwent revision surgery for AAD at the General Hospital of Southern Theatre Command of PLA between September 2009 and December 2023. The cohort included 74 males and 71 females, with a mean age of 43±16 years (range, 6-72 years). The initial surgical approaches were: anterior 31 cases, posterior 114 cases. Based on imaging assessments of immediate postoperative reduction and fusion status prior to revision, the cases of failure were classified into reduction-nonfusion type (22 cases), nonreduction-fusion type (31 cases), and nonreduction-nonfusion type (92 cases). Among the nonreduction-nonfusion cases, 39 had initial surgery with internal fixation for reduction, while 53 had initial surgery with simple decompression (posterior arch resection, foramen magnum decompression) without reduction. In the nonreduction-fusion cases, 8 cases had spot fusion and 23 had extensive fusion. Japanese Orthopaedic Association (JOA) scores were compared before and after revision, and complication rates were observed.Results:All patients successfully underwent surgery. The revision approaches included: anterior (anterior fixation and fusion 52 cases, anterior implant removal combined anterior fixation and fusion 4 cases, transoral odontoidectomies 16 cases, anterior implant removal combined transoral odontoidectomy 2 cases), posterior (posterior fixation and fusion 2 cases, posterior implant removal combined posterior fixation and fusion 22 cases), and combined anterior-posterior (posterior implant removal combined anterior fixation and fusion 18 cases, anterior implant removal combined posterior fixation and fusion 25 cases, posterior implant removal combined transoral odontoidectomy 5 cases). Operative time was 254.20±107.63 min (range, 90-660 min), and blood loss was 218.83±172.17 ml (range, 20-800 ml). Except for 3 patients who died due to postoperative complications, all patients were followed up for a duration of 12±11 months (range, 3-60 months). Six patients who failed to achieve bony fusion after the initial revision surgery underwent a second revision due to poor reduction (1 case), infection (1 case), suboptimal implant position (3 cases), and graft nonunion (1 case). All three patients with bony fusion after the initial revision surgery underwent a second revision due to poor reduction. Following the second revision surgery, none of the 9 patients exhibited graft nonunion or spinal cord compression. The 136 successful initial revision cases had a final follow-up JOA score of 14.75±2.00, significantly higher than the preoperative score of 11.93±2.92 ( t=-18.869, P<0.001). Conclusions:Revision surgery for AAD should take into account the immediate postoperative reduction status and fusion status prior to revision. An appropriate revision strategy should be selected to achieve satisfactory reduction and bony fusion.