Objective To develop an innovative recognition algorithm that aids physicians in the identification of pulmonary nodules. Methods Patients with pulmonary nodules who underwent thoracoscopic surgery at the Department of Thoracic Surgery, Affiliated Drum Tower Hospital of Nanjing University Medical School in December 2023, were enrolled in the study. Chest surface exploration data were collected at a rate of 60 frames per second and a resolution of 1 920×1 080. Frame images were saved at regular intervals for subsequent block processing. An algorithm database for lung nodule recognition was developed using the collected data. Results A total of 16 patients were enrolled, including 9 males and 7 females, with an average age of (54.9±14.9) years. In the optimized multi-topology convolutional network model, the test results demonstrated an accuracy rate of 94.39% for recognition tasks. Furthermore, the integration of micro-variation amplification technology into the convolutional network model enhanced the accuracy of lung nodule identification to 96.90%. A comprehensive evaluation of the performance of these two models yielded an overall recognition accuracy of 95.59%. Based on these findings, we conclude that the proposed network model is well-suited for the task of lung nodule recognition, with the convolutional network incorporating micro-variation amplification technology exhibiting superior accuracy. Conclusion Compared to traditional methods, our proposed technique significantly enhances the accuracy of lung nodule identification and localization, aiding surgeons in locating lung nodules during thoracoscopic surgery.

Objective To observe the clinical efficacy of therapy of resolving blood stasis and tranquilizing mind in the treatment of insomnia with internal blockage of blood stasis type.Methods A parallel randomized controlled trial was conducted on 88 cases of insomnia patients with internal blockage of blood stasis type who admitted to Bao'an Traditional Chinese Medicine Hospital Affiliated to Guangzhou University of Chinese Medicine from January 2024 to June 2024.The patients were randomly divided into an observation group and a control group,with 44 cases in each group.The observation group was treated with the self-made Huayu Anshen Prescription(modified Xuefu Zhuyu Decoction)orally following the therapy of resolving blood stasis and tranquilizing mind,while the control group was treated with Dexzopiclone Tablets orally.The course of treatment for the two groups covered four weeks.The changes in the scores of traditional Chinese medicine(TCM)syndrome,Pittsburgh Sleep Quality Index(PSQI),Self-Rating Depression Scale(SDS),and Self-Rating Anxiety Scale(SAS)in the two groups before and after treatment were observed,and then the clinical efficacy and medication safety of the patients in the two groups were evaluated.Results(1)After four weeks of treatment,the total effective rate of the observation group was 86.36%(38/44)and that of the control group was 70.45%(31/44),and the intergroup comparison showed that the clinical efficacy of the observation group was significantly superior to that of the control group,the difference being statistically significant(χ2=8.080,P<0.05).(2)After treatment,the scores of TCM syndrome,PSQI,SDS,and SAS of patients in the two groups were all significantly decreased compared with those before treatment(P<0.01),and the decrease in the observation group was significantly superior to that in the control group,the differences all being statistically significant(P<0.05).(3)During the treatment,there were no obvious adverse reactions occurred in the two groups,with higher safety.Conclusion Therapy of resolving blood stasis and tranquilizing mind for treating insomnia with internal blockage of blood stasis type can effectively alleviate patients'clinical symptoms,improve their sleep quality and relieve depression and anxiety,with stronger clinical efficacy and higher safety.

Objective:To analyze the burden and trends of noncommunicable chronic disease(NCD) attributable to metabolic factors in China from 1990 to 2021.Methods:Data from the Global Burden of Diseases(GBD) 2021 database were utilized to describe changes in mortality and disability-adjusted life years(DALYs) of NCD in China from 1990 to 2021. Stratified analyses were conducted by age, sex, sociodemographic index(SDI), and related risk factors. Statistical analyses and predictions were conducted using the age-period-cohort model and the Nordpred model.Results:In 2021, the age-standardized mortality rate and age-standardized DALYs rate of NCD attributable to metabolic factors in China were 227.56 per 100 000 and 4 829.39 per 100 000, respectively. Their average annual percentage changes were -0.76%( P<0.001) and -0.77%( P<0.001). Overall, the burden decreased progressively with higher SDI levels. Analysis using the age-period-cohort model indicated reduced birth cohort and period effects for metabolic factor-attributable NCD, while age effects rose significantly. The minimum relative risk( RR) value was observed in the 15-19 age group( RR=0.01), and the maximum RR value occurred in the 95-99 age group( RR=996.86). The overall rising mortality trend indicated that age effects are the predominant driver at present. Projections estimate that by 2046, deaths from metabolic factor-attributable NCD in China will reach 8 189 563, with an age-standardized mortality rate of 236.95 per 100 000. Conclusions:China continues to face a substantial burden of NCD linked to metabolic factors, with older adults, males, and individuals with hypertension, diabetes, and prediabetes identified as key populations requiring targeted interventions.

Objective To investigate the status and influencing factors of type 2 diabetes mellitus(T2DM)patients' fear of complications,and to provide a reference for formulating targeted intervention measures.Methods From April to November 2024,370 patients with T2DM in 2 tertiary general hospitals in Daqing City were selected by convenience sampling method.General data questionnaire,Fear of Complications Questionnaire,Self-Perceived Burden Scale,Psychological Capital Questionnaire,Mishel Uncertainty in Illness Scale and Family Apgar Index Questionnaire were used for investigation.Univariate analysis and binary Logistic regression were performed to analyze the influencing factors.Results A total of 364 valid questionnaires were collected,with an effective recovery rate of 98.38％.The score of Fear of Complications Questionnaire was(23.47±7.47),and the incidence of fear of complications was 22.25％.Logistic regression analysis showed that medical payment methods,the number of complications,positive psychological capital and family care were the influencing factors of FoC in T2DM patients.Conclusion The fear of complications in T2DM patients is at a moderate level.Nursing staff should pay attention to the early assessment of patients' fear of complications,promptly identify and take effective measures to reduce the level of patients' fear of complications,improve their quality of life.

Objective Currently, there is no commercially available quantitative detection kit for the main Felis domestic allergen (Fel d 1) in China. To establish a rapid detection method for Fel d 1, this study aims to prepare monoclonal antibodies against Fel d 1 protein. Methods The codon preference of Escherichia coli was utilized to optimize and synthesize the Fel d 1 gene. The prokaryotic expression plasmid pET-28a-Fel d 1 was constructed and used to express and purify the recombinant Fel d 1 protein. Subsequently, the recombinant protein was immunized into BALB/c mice and monoclonal antibodies (mAbs) were prepared by the hybridoma technique. An indirect ELISA was established using the recombinant Fel d 1 as the coating antigen, and hybridoma cell lines were screened for positive clones. The specificity and antigenic epitopes of the mAbs were confirmed by Western blot analysis. Finally, the selected hybridoma cells were injected into the peritoneal cavities of BALB/c mice for large-scale monoclonal antibody production. Results The recombinant plasmid pET-28a-Fel d 1 was successfully constructed, and soluble Fel d 1 protein was obtained after optimizing the expression conditions. Western blot and antibody titer assays confirmed the successful isolation of two hybridoma cell lines, 7D11 and 5H4, which stably secreted mAbs specific to Fel d 1. Antibody characterization revealed that the 5H4 mAb was of the IgG2a subtype and could recognize the amino acid region 105-163 of Fel d 1, while the 7D11 mAb was the IgG1 subtype and could recognize the amino acid region 1-59. Conclusion The high-purity recombinant Fel d 1 protein produced in this study provides a promising alternative for clinical immunotherapy of cat allergies. Furthermore, the monoclonal antibody prepared in this experiment lays a material foundation for the in-depth study of the biological function of Fel d 1 and the development of ELISA detection.
Animals ; Antibodies, Monoclonal/biosynthesis* ; Mice, Inbred BALB C ; Cats ; Mice ; Allergens/genetics* ; Glycoproteins/genetics* ; Enzyme-Linked Immunosorbent Assay ; Hybridomas/immunology* ; Recombinant Proteins/genetics* ; Female ; Antibody Specificity

Chemotherapeutic drugs generally lack specificity, and so the development of a carrier that can actively target delivery of chemotherapy drugs without immunogenicity to organisms has attracted increasing attention. In this work, a multivalent aptamer (Multi-Apt) was constructed by hybridizing a long single-stranded DNA (ssDNA) with tandem repeated sequences synthesized by rolling circle amplification (RCA) with several ssDNA encoding aptamer AS1411 sequences. The double-helix structure was used to load the anti-tumor drug doxorubicin (Dox) for targeted treatment of B16 cells. The binding ratio of RCA product to ssDNA was optimized by agarose gel electrophoresis, and the loading and release of Dox were explored using a microplate reader. The targeting and growth inhibition of Multi-Apt-Dox on B16 cells were investigated by fluorescence microscopy, flow cytometry, microplate reader, CCK-8 assay and wound healing assay. The results showed that the optimal molar ratio of RCA product to ssDNA was 1:50. Fluorescence microscopic pictures, flow cytometry analysis and microplate reader experimental results showed that each Multi-Apt could load approximately 200 Dox molecules, and the affinity of Multi-Apt for B16 cells was 46-fold higher than that of free AS1411. Cell experimental results demonstrated that Multi-Apt induced selective cytotoxicity after intracellular degradation and drug release, thereby greatly reducing the adverse reactions of Dox to normal cells and providing a new strategy for targeted drug delivery in tumor treatment.

Diabetes mellitus(DM)and metabolic associated fatty liver disease(MAFLD)share common pathogenic factors.Liver lipid accumulation leads to insulin resistance,and the risk of DM gradually increases with the severity of MAFLD.Multi-omics research provides a basis for the prevention,diagnosis,and treatment of DM combined with MAFLD.This article reviews the progress of multi-omics research in DM combined with MAFLD.

Objective To investigate the status and influencing factors of type 2 diabetes mellitus(T2DM)patients' fear of complications,and to provide a reference for formulating targeted intervention measures.Methods From April to November 2024,370 patients with T2DM in 2 tertiary general hospitals in Daqing City were selected by convenience sampling method.General data questionnaire,Fear of Complications Questionnaire,Self-Perceived Burden Scale,Psychological Capital Questionnaire,Mishel Uncertainty in Illness Scale and Family Apgar Index Questionnaire were used for investigation.Univariate analysis and binary Logistic regression were performed to analyze the influencing factors.Results A total of 364 valid questionnaires were collected,with an effective recovery rate of 98.38％.The score of Fear of Complications Questionnaire was(23.47±7.47),and the incidence of fear of complications was 22.25％.Logistic regression analysis showed that medical payment methods,the number of complications,positive psychological capital and family care were the influencing factors of FoC in T2DM patients.Conclusion The fear of complications in T2DM patients is at a moderate level.Nursing staff should pay attention to the early assessment of patients' fear of complications,promptly identify and take effective measures to reduce the level of patients' fear of complications,improve their quality of life.

Objective:To explore the factors influencing healthcare-seeking time in diabetic foot patients and to develop and validate a predictive model for healthcare-seeking time.Methods:A total of 299 diabetic foot patients hospitalized in the Department of Endocrinology and Metabolism at the First Affiliated Hospital of Zhengzhou University from March 2023 to January 2024 were recruited for model development and internal validation. Sixty additional patients from the Second Affiliated Hospital of Zhengzhou University from September 2023 to January 2024 were used for external validation. Kaplan-Meier survival curves were used to estimate healthcare-seeking times. Cox regression analysis identified influencing factors and constructed the model. Random Survival Forest (RSF) was employed for variable selection and model construction. Internal validation was conducted using 10-fold cross-validation, and model evaluation utilized the integrated Brier score, C-index, and prediction error curve. Results:Kaplan-Meier analysis revealed that education level, foot self-care ability, lower extremity vascular disease, and disease perception significantly influenced healthcare-seeking time ( P<0.05). Cox regression identified gender, income level, medical payment method, living situation, marital status, ulcer history, social support, disease perception, and healthcare behavior perception as significant influencing factors ( P<0.05). RSF variable selection indicated that social support, disease perception, e-health literacy, healthcare behavior perception, and age were the most valuable factors for model construction. In external validation, the Brier scores for the Cox regression and RSF models were 0.059 and 0.088, respectively, while the C-indices were 0.862 and 0.683. Prediction error curves showed that the Cox regression model had lower prediction errors and higher predictive performance. Conclusions:The Cox regression model demonstrated superior performance and can assist nurses in effectively identifying high-risk populations for delayed healthcare-seeking in diabetic foot patients. This allows for timely interventions to improve healthcare behavior and reduce delays.