Objective To explore the relationship between circadian rhythm genes and the occurrence, development, prognosis, and tumor microenvironment (TME) of lung adenocarcinoma (LUAD). Methods The Cancer Genome Atlas data were used to evaluate the expression, copy number variation, and somatic mutation frequency of circadian gene sets in LUAD. Gene ontology, Kyoto encyclopedia of genes and genomes, and gene set enrichment analysis were used to explore the potential mechanisms by which circadian rhythm genes affected LUAD progression. Cox regression, least absolute shrinkage and selection operator regression, support vector machine recursive feature elimination, and random forest screened circadian genes and established prognostic models, and on this basis constructed nomogram to predict patients’ 1-, 3-, and 5-year survival rates. Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves were drawn to evaluate the predictive ability of the model, and the external dataset of GEO further verified the prognostic value of the prediction model. In addition, we evaluated the association of the prognostic model with immune cells and immune checkpoint genes. Single cell RNA sequencing (scRNA-seq) analysis was used to explore the molecular characteristics between prognostically relevant circadian genes and different immune cell populations in TME. Results Differentially expressed circadian rhythm genes were mainly enriched in biological processes related to cGMP-PKG signaling pathway, lipid and atherosclerosis, and JAK-STAT signaling pathway. Seven circadian rhythm genes: LGR4, CDK1, KLF10, ARNTL2, RORA, NPAS2, PTGDS were screened out, and a RiskScore model was established. According to the median RiskScore, samples were divided into a high-risk group and a low-risk group. Compared with patients in the low-risk group, patients in the high-risk group showed a poorer prognosis (P<0.001). Immunological characterization analysis showed that there were differences in the infiltration of multiple immune cells between the low-risk group and high-risk group. Most immune checkpoint genes had higher expression levels in the high-risk group than those in the low-risk group, and RiskScore was positively correlated with the expression of CD276, TNFSF4, PDCD1LG2, CD274, and TNFRSF9, and negatively correlated with the expression of CD40LG and TNFSF15. The scRNA-seq analysis showed that RORA and KLF10 were mainly expressed in natural killer cells. Conclusion The prognostic model based on seven feature circadian rhythm genes has certain predictive value for predicting survival of LUAD patients. Dysregulated expression of circadian genes may regulate the occurrence, progression as well as prognosis of LUAD through affecting TME, which provides a possible direction for finding potential strategies for treating LUAD from the perspective of mechanism by which circadian disorder affects immune cells.

Objective To determine the prognostic biomarkers and new therapeutic targets of the lung adenocarcinoma (LUAD), based on which to establish a prediction model for the survival of LUAD patients. Methods An integrative analysis was conducted on gene expression and clinicopathologic data of LUAD, which were obtained from the UCSC database. Subsequently, various methods, including screening of differentially expressed genes (DEGs), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Set Enrichment Analysis (GSEA), were employed to analyze the data. Cox regression and least absolute shrinkage and selection operator (LASSO) regression were used to establish an assessment model. Based on this model, we constructed a nomogram to predict the probable survival of LUAD patients at different time points (1-year, 2-year, 3-year, 5-year, and 10-year). Finally, we evaluated the predictive ability of our model using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves. The validation group further verified the prognostic value of the model. Results The different-grade pathological subtypes' DEGs were mainly enriched in biological processes such as metabolism of xenobiotics by cytochrome P450, natural killer cell-mediated cytotoxicity, antigen processing and presentation, and regulation of enzyme activity, which were closely related to tumor development. Through Cox regression and LASSO regression, we constructed a reliable prediction model consisting of a five-gene panel (MELTF, MAGEA1, FGF19, DKK4, C14ORF105). The model demonstrated excellent specificity and sensitivity in ROC curves, with an area under the curve (AUC) of 0.675. The time-dependent ROC analysis revealed AUC values of 0.893, 0.713, and 0.632 for 1-year, 3-year, and 5-year survival, respectively. The advantage of the model was also verified in the validation group. Additionally, we developed a nomogram that accurately predicted survival, as demonstrated by calibration curves and C-index. Conclusion We have developed a prognostic prediction model for LUAD consisting of five genes. This novel approach offers clinical practitioners a personalized tool for making informed decisions regarding the prognosis of their patients.

In response to the high cost and time consumption of medical image annotation,and issues such as the imprecision of unlabeled data segmentation in semi-supervised medical image segmentation,loss of image edge information,and delayed parameter updates,a semi-supervised medical image segmentation method based on consistency regularization is presented.Firstly,an uncertainty measurement method based on the dual perspectives of entropy and variance is designed to assess the uncertainty of predictions for unlabeled data,jointly evaluating the uncertainty of unlabeled data from the perspectives of entropy and variance.Then,edge-preserving noise based on the Canny operator is used to retain image edge information and important structures,thereby avoiding the potential blurring of organ edges that may result from the addition of random noise.Finally,a semi-supervised residual-driven segmentation method based on the mean teacher framework is developed,with a Frobenius norm regularization term in the exponential moving average scheme to enhance the performance of mean teacher.The proposed method is validated on the publicly available multi-organ segmentation benchmark dataset BTCV and brain tumor segmentation dataset BraTS 2019.In the case of 40%labeled data in the BTCV dataset,Dice similarity coefficient and standardized surface distance are 77.42%and 79.47%,respectively.In the case of 20%labeled data in the BraTS 2019 dataset,the proposed method achieve a Dice similarity coefficient of 83.89%,a Jaccard coefficient of 74.21%,an average surface distance of 2.34 mm,and a 95%Hausdorff distance of 9.08 mm,demonstrating its superiority.

Objective:To assess the clinicopathological characteristics of non-muscle-invasive bladder cancers (NMIBC) with high expression of human epidermal growth factor receptor 2 (HER2) and to examine the prognostic values of HER2 expression in NMIBC patients with intravesical anthracycline instillation.Methods:A total of 221 NMIBC samples diagnosed between January 1, 2017 and April 15, 2024 were collected. Their clinical, diagnostic and treatment features were analyzed. The expression of HER2 protein and the Ki-67 proliferation index were assessed using immunohistochemistry (IHC). For the patients with HER2 high-expression (IHC 3+), the clinical pathological features (age, gender, tumor grade, Ki-67 expression level, tumor size, and tumor number) were compared with those without (i.e., HER2 IHC 0/1+/2+). The impact of HER2 expression on the recurrence-free survival (RFS) of patients with intravesical anthracycline (epirubicin or pirarubicin) instillation after transurethral resection of bladder tumor (TURBT) was evaluated.Results:Among the 221 NMIBC patients, 30 (13.6%) were HER2 IHC 3+, 142 (64.3%) HER 2+, 46 (20.8%) HER2 1+, and 3 (1.4%) HER2 IHC 0. The proportion of high-grade tumors in patients with HER2 high-expression was higher than that in patients without (83.3% versus 44.5%, P<0.001). Additionally, a high Ki-67 index (≥20%) was more commonly noted in HER2 high-expression tumors ( P=0.003). In the patients treated with intravesical anthracycline instillation, HER2 high-expression was associated with a shorter RFS ( P<0.001). Conclusion:HER2 high-expression seems to be not only associated with worse clinicopathological features of NMIBC but also a poor RFS in NMIBC patients treated with anthracycline instillation after TURBT.

Osteoarthritis (OA) causes chronic pain that significantly impairs quality of life, with current treatments often proving insufficient and accompanied by adverse effects. Recent research has identified the dorsal root ganglion (DRG) and its resident macrophages as crucial mediators of chronic OA pain through neuroinflammation driven by macrophage polarization. We present a novel injectable thermo-sensitive hydrogel system, KAF@PLEL, designed to deliver an anti-inflammatory peptide (KAF) specifically to the DRG. This biodegradable hydrogel enables sustained KAF release, promoting the reprogramming of DRG macrophages from pro-inflammatory to anti-inflammatory phenotypes. Through comprehensive in vitro and in vivo studies, we evaluated the hydrogel's biocompatibility, effects on macrophage polarization, and therapeutic efficacy in chronic OA pain management. The system demonstrated significant capabilities in preserving macrophage mitochondrial function, suppressing neuroinflammation, alleviating chronic OA pain, reducing cartilage degradation, and improving motor function in OA rat models. The sustained-release properties of KAF@PLEL enabled prolonged therapeutic effects while minimizing systemic exposure and side effects. These findings suggest that KAF@PLEL represents a promising therapeutic approach for improving outcomes in OA patients through targeted, sustained treatment.

Owing to the insidious onset and limited awareness of early screening,many patients with esophageal squamous cell carcinoma(ESCC)are diagnosed at an advanced stage.Immunochemotherapy is the current standard first-line treatment for advanced ESCC;however,survival outcomes remain suboptimal.Radiotherapy,with its precise local control and potential immunomodulatory effects,is anticipated to act synergistically with immunochemotherapy,offering a novel direction for overcoming survival limitations.This review systematically sum-marizes the progress in the use of radiotherapy as a first-line treatment for advanced ESCC and discusses the synergistic mechanisms,clinical applications,and challenges associated with its combination with immunochemotherapy.

Objective:To apply data mining and bibliometric methods to collect and analyze literatures related to the uPMR 790 integrated positron emission tomography/magnetic resonance imaging(PET/MRI)of the United Imaging Healthcare(UIH)and assess its output effects in clinical research and application,continued research and development,performance improvement,technology assessment,healthcare technology management,and other aspects.Methods:To conduct literature searches on data platforms such as China National Knowledge Infrastructure(CNKI),WanFang Data Knowledge Service Platform(WANFANG DATA),Wanfang Medical Network(WANFANG MED ONLINE),Chinese Medical Association Journal Database(Yiigle),NIH/PubMed,etc.Based on literature review,to implement bibliometric analysis and evaluate from several technological output dimensions.Results:134 sample literatures were obtained.Among them,there are 121 journal articles,10 dissertations(1 doctoral dissertation and 9 master's theses),3 case reports from the Chinese Medical Case Repository,59 of foreign language journals,and 101 articles sourced from uPMR 790 users as the first author affiliation.Engineering and technical personnel from UIH participated in 58 journal articles;89 clinical research articles,accounting for 66.42%of the sample literatures,15 engineering research and artificial intelligence(AI)research articles,accounting for 11.19%,15 technology assessment articles,accounting for 11.19%,4 healthcare technology management articles,1 experimental research article,and 10 reviews.In addition,33 related patent technologies were retrieved from UIH and its cooperative institutions,as well as UIH PET/MRI equipment users,including 20 invention patents,13 utility model patents.Conclusion:The research results show that the innovative medical equipment,the uPMR 790 PET/MRI,has definite technological outputs in clinical research and application,providing important and widely data of evidence-based medicine for clinical application promotion.It also map out the effective support of this innovative medical equipment for multidisciplinary clinical research such as medical imaging,neurology,cardiovascular and cerebrovascular diseases,geriatrics,pediatrics,etc.Driven by the model of medical-engineering integration and synergy mechanism,display multidimensional output effects such as continuous research and development,quality improvement,technology assessment,configuration management,and healthcare technology management.UIH actively participates in researchs and follows up on innovative practices in medical-engineering integration,demonstrating a positive attitude as a leading medical equipment enterprise.Real world research will provide evidence support for the application demonstration and promotion for equipment manufactured by Chinese medical equipment enterprises.

Porcine deltacoronavirus(PDCoV)is the main pathogen of porcine deltacoronavirus dis-ease.After infection,pigsmanifest a series of main symptoms,such as persistent vomiting,watery diarrhea and severe dehydration.Pigs at almost all growth stages are likely to be infected with the virus,especially suckling piglets are much sensitive to the virus.Once PDCoV infects the host,it u-sually causes significant immunosuppression.In recent years,studies on the immunosuppressive mechanism of PDCoV have gradually attracted widespread attention.The results showed that mul-tiple proteins of PDCoV were involved in the regulation of host innate immunity,revealing the mechanism of these proteins in regulating host innate immunity.In this paper,the interaction mechanism between PDCoV protein and host innate immunity were rsummarized,which will pro-vide a theoretical basis for further understanding the pathogenesis of PDCoV and effective preven-tion and control of porcine delta coronavirus disease.

Porcine deltacoronavirus(PDCoV)is the main pathogen of porcine deltacoronavirus dis-ease.After infection,pigsmanifest a series of main symptoms,such as persistent vomiting,watery diarrhea and severe dehydration.Pigs at almost all growth stages are likely to be infected with the virus,especially suckling piglets are much sensitive to the virus.Once PDCoV infects the host,it u-sually causes significant immunosuppression.In recent years,studies on the immunosuppressive mechanism of PDCoV have gradually attracted widespread attention.The results showed that mul-tiple proteins of PDCoV were involved in the regulation of host innate immunity,revealing the mechanism of these proteins in regulating host innate immunity.In this paper,the interaction mechanism between PDCoV protein and host innate immunity were rsummarized,which will pro-vide a theoretical basis for further understanding the pathogenesis of PDCoV and effective preven-tion and control of porcine delta coronavirus disease.