AIM:To analyze the association between mobile phone addiction and high myopia among college students.METHODS:We conducted a cross-sectional questionnaire survey in December 2022 on all students of a university in Shaanxi Province, and the questionnaire included socio-demographic characteristics, mobile phone addiction, high myopia, and lifestyle. Binary Logistic regression model was used to analyze the association between mobile phone addiction and high myopia among college students.RESULTS:A total of 19 952 college students were included. The prevalence of high myopia was 7.31%. The rate of mobile phone addiction was 25.68%, and the mobile phone addiction score was 37.59±13.38. The incidence of high myopia among college students with mobile phone addiction was higher than non-mobile phone addiction(P<0.001). After adjusting for socio-demographic characteristics and lifestyle, the risk of high myopia among college students with mobile phone addiction was 1.274 times(95%CI:1.131-1.434)higher than non-mobile phone addiction. For each point increase of total mobile phone addiction score, withdrawal symptoms score, salience score, social comfort score, and mood changes score, the risk of high myopia among college students increased by 0.9%(95%CI:1.005-1.013), 2.0%(95%CI:1.010-1.030), 2.6%(95%CI:1.010-1.043), 4.8%(95%CI:1.030-1.066), and 3.3%(95%CI:1.014-1.052), respectively.CONCLUSION:Mobile phone addiction is significantly associated with the increased risk of high myopia among college students, and early intervention of mobile phone use may reduce the risk of high myopia among college students.

With the development of neuroscience and oncology, the direct regulation effect of central nervous system circuits on tumors has been gradually revealed. Evidence indicates that the therapy targeting emotion-related encephalic regions may have great potential in blocking the promotion of breast cancer progression by depression. The underlying complex mechanisms involve the generation of depression and the regulation of tumors by central nervous system circuits. However, a systematic summary is lacking in this field. This article reviews the latest research progress of the central nervous system circuits and the generation of depression, the neural connection between the central nervous system and peripheral tumor, and the regulation of the tumor immune microenvironment by the sympathetic nervous system. It also systematically investigates the potential mechanism of the central nervous system circuit in the promotion of breast cancer progression by depression to establish new solutions for the comprehensive treatment of breast cancer.

ObjectiveTo explore the therapeutic effects and mechanisms of modified Danggui Shaoyaosan on acne based on the c-Jun N-terminal kinase （JNK）/p38 mitogen-activated protein kinase （p38 MAPK） pathway. MethodsA rat ear acne model was established in SD rats， and the rats were divided into a blank group， a model group， and low-， medium-， and high-dose groups of modified Danggui Shaoyaosan （7.15， 14.30， 28.60 g·kg·d^-1）， with six rats in each group. After the administration for 14 consecutive days， morphological changes in the rats' auricles were observed， and hematoxylin-eosin （HE） staining was used to examine the pathological changes in the acne-affected ear tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of interleukin-1β （IL-1β） and tumor necrosis factor-α （TNF-α） in the ear tissue. Quantitative reverse transcription polymerase chain reaction （Real-time PCR） was performed to detect the mRNA expression levels of Caspase-3， B cell lymphoma-2 （Bcl-2）， Bcl-2-associated X protein （Bax）， JNK， and p38 MAPK in the ear tissue. Additionally， Western blot analysis was conducted to assess the protein levels of Caspase-3， Bcl-2， Bax， JNK， and p38 MAPK in the ear tissue. The active components and key targets of modified Danggui Shaoyaosan in the treatment of acne were identified through network pharmacology analysis. Molecular docking was then employed to evaluate the interactions between the main active components and the key targets. ResultsThe results of the animal experiment demonstrated that compared with those in the blank group， rats in the model group exhibited redness， swelling， thickening， hardening， dryness， and roughness of the auricle. The surface showed sebaceous scales and desquamation， accompanied by acne-like lesions such as papule-like elevations or cysts. Histopathological changes included keratinization， epidermal thickening， dermal collagen fiber degeneration and necrosis， subcutaneous muscle degeneration and necrosis， inflammatory cell infiltration， and fibrous tissue proliferation. The mRNA and protein expression levels of IL-1β， TNF-α， Caspase-3， Bax， JNK， and p38 MAPK were significantly increased （P<0.01）， while those of Bcl-2 were significantly decreased （P<0.01）. In comparison to the model group， the modified Danggui Shaoyaosan groups showed marked improvement in acne-like lesions of the auricle， with varying degrees of histopathological damage reduction. Additionally， the mRNA and protein expression levels of IL-1β， TNF-α， Caspase-3， Bax， JNK， and p38 MAPK in the tissue were significantly decreased （P<0.05， P<0.01）， while those of Bcl-2 were significantly increased （P<0.05， P<0.01）. Network pharmacology analysis indicated that the key compounds in modified Danggui Shaoyaosan responsible for its effects in treating acne may include acacetin， kaempferol， luteolin， quercetin， wogonin， and baicalein. These compounds exerted their effects by modulating core targets such as TNF， IL-1β， Caspase-3， and Bcl-2， thereby alleviating inflammation and apoptosis and ultimately improving acne symptoms. ConclusionModified Danggui Shaoyaosan may exert its therapeutic effects on acne by inhibiting the activation of the JNK/p38 MAPK pathway， thereby alleviating inflammation and apoptosis.

Ornithine transcarbamylase(OTC)is a member of the transcarbamylase protein family,commonly found in the mitochondrial matrix of living organisms.It generally functions in a trimeric form and can catalyze the production of L-ornithine to L-citrulline.OTC is mainly expressed in the liver and intestines of mammals,playing an important role in the urea cycle and amino acid homeostasis.This article introduces the research progress of OTC genes,proteins,physiological functions,the impact of OTC deficiency on body health,and the diagnosis and treatment of OTC deficiency.

Objective To analyze the risk factors for chronic mountain sickness(CMS)in young male migrants living in high-altitude areas and to construct a diagnostic model and evaluate its diagnostic efficacy.Methods From June 10 to December 29,2023,a cross-sectional study was conducted on young male migrants subjected with convenience sampling who had been living in high-altitude areas(4 500～5 000 m)for 6 months or longer.Their demographic data were collected and blood samples were collected for laboratory test.According to the Qinghai Score for Chronic Mountain Sickness,they were divided into CMS group and non-CMS group.Then the participants were randomly divided into a training set and a test set in a ratio of 8∶2.Independent risk factors for CMS occurrence were screened out,through random forest variable importance ranking,univariate and multivariable logistic regression analysis,and a diagnostic model was constructed based on these factors.Receiver operating characteristic(ROC)curve analysis,calibration curve analysis,clinical decision curve analysis,and influence curve analysis were used to comprehensively evaluate the diagnostic performance of the model.Results According to the inclusion and exclusion criteria,308 out of 376 participants were finally subjected,and 17.53%of them were diagnosed with CMS.The major clinical symptoms of the CMS patients were dyspnea or palpitations(79.63%)and sleep disorders(85.19%).Further analysis revealed that creatine kinase-MB/creatine kinase(CK-MB/CK,OR=2.17,95%CI:1.43～3.28),high-altitude residence time(OR=2.44,95%CI:1.08～5.54),and body mass index(BMI,OR=1.62,95%CI:1.05～2.50)were 3 major independent risk factors for CMS.The area under the curve(AUC)value of the CMS diagnostic model in the training set and test set was 0.821(95%CI:0.756～0.886)and 0.821(95%CI:0.700～0.944),the specificity was 66.30%and 73.90%,the sensitivity was 89.50%and 81.20%,respectively,indicating good discrimination ability.Hosmer-Lemeshow goodness-of-fit test showed consistency between predicted results and actual observations(χ2=10.029,P=0.263;χ2=4.477,P=0.812).Clinical decision curve analysis demonstrated that within the threshold probability range from 0.1 to 0.7,the net benefit of the model exceeded both full intervention and no intervention strategies.The influence curve analysis showed high consistency between the model predictions and actual incidence when the threshold probability exceeded 0.4.These two analyses together confirmed the clinical application value of the model.Conclusion CK-MB/CK,high-altitude residence time and BMI are independent risk factors for CMS,and their diagnostic model helps identify potential individuals at risk for CMS.Early intervention can prevent the harm of CMS to the health of young men migrating to high-altitude areas.

Objective:To explore the factors influencing the success rate of culturing patient-derived gastric and colorectal cancer organoids.Methods:From Feb 2022 to Oct 2023, 398 tumor tissue specimens from patients who underwent gastric cancer and colorectal cancer resection at the Department of Gastrointestinal Surgery, the Affiliated Hospital of Qingdao University, were used for organoid culture. The clinicopathological factors affecting the success rate of organoid culture were analyzed.Results:The overall success rate of organoid culture in this group was 75.1% (299/398), with the success rate of gastric cancer organoid culture being 79.8%(154/193) and that of colorectal cancer being 70.7% (145/205). Different clinicopathological T stage ( χ2=4.765, P<0.05),histological type ( χ2=11.248, P<0.05), and tumor regression grade (TRG) grade after neoadjuvant chemotherapy ( χ2=7.797, P<0.05) were related to the success rate of organoid culture . Multivariate analysis showed that the TRG grade was an independent influencing factor( P=0.040). For colorectal cancer, different pathological T stage ( χ2=5.108, P<0.05), histological type ( χ2=11.270, P<0.05), and TRG grade after neoadjuvant chemotherapy ( χ2=6.797, P<0.05) were related to the success rate of organoidculture . Different from gastric cancer, the results of multivariate analysis of colorectal cancer showed that the histological type was an independent influencing factor ( P=0.018). Conclusions:The pathologic T stage, histological type of tumors, and TRG of cancer patients all have a significant impact on the success rate of establishing tumor organoids. Among them, the TRG grade is an independent influencing factor for the culture of gastric cancer organoids, and the histological type is an independent influencing factor for colorectal cancer organoids.

The aim of this study is to identify the cause of death of a South China tiger cub at the Meihuashan breeding institute of Fujian Province.Pathogenic bacteria were isolated and cultured from liver,spleen,lung and other tissue samples of the dead South China tiger aseptically.The iso-lated bacteria were identified through morphological observation,biochemical characterization,sequence analysis of housekeeping gene gyrB,virulence gene detection,animal pathogenicity test and drug sensitivity test.A pathogenic Aeromonas hydrophila strain,designated FJ/Tiger-201809 was successfully isolated from the trachea of dead South China tiger.The nucleotide sequence ho-mology between the isolate and 11 strains of Aeromonas gyrB ranged from 91.2％to 99.1％,with the highest homology of 99.1％observed with Aeromonas hydrophila(AF208251.1).Genetic evo-lution analysis showed that the isolated strain FJ/Tiger-201809 was in the same evolutionary branch as other reference strains of Aeromonas hydrophila and was closely related.The pathoge-nicity test in mice showed artificial infection of mice with the strain resulted in varying degrees of lesions in several organs of the mice,and the median lethal dose(LD50)was 1 × 107.8 CFU/mL.Virulence gene test results showed that the isolate FJ/Tiger-201809 carried two virulence genes,aer and act.The results of drug sensitivity test showed that FJ/Tiger-201809 was highly sensitive to enrofloxacin and ampicillin among 18 commonly used antibiotics,relatively sensitive to penicil-lin G and doxycycline,and resistant to the other 14 antibiotics.In conclusion,this study isolated and identified a strain of Aeromonas hydrophila from a dead South China tiger with multiple drug resistance and strong pathogenicity,which provided an important reference for the prevention and control of bacterial diseases in South China tiger.

BACKGROUND:Immune cells are correlated with various metabolic bone diseases,yet the specific immunological mechanisms and causal relationships remain elusive.OBJECTIVE:To investigate the causal relationship between immune cells and the risk of metabolic bone diseases through two-sample Mendelian randomization.METHODS:Genome-wide association study(GWAS)data on 731 immune cells and metabolic bone diseases(osteonecrosis,osteomalacia,osteoporosis,and osteoporosis combined with pathological fracture)were obtained from publicly available databases.Genetic variants related to immune cells were employed as instrumental variables.The inverse variance weighting method was utilized as the primary analytical approach,while MR-Egger and weighted median methods were applied to assess the causal relationships between immune cells and the risk of metabolic bone diseases.In addition,MR-PRESSO,MR-Egger regression,Cochran's Q test,and the leave-one-out method were implemented to evaluate genetic polymorphisms and the heterogeneity of instrumental variables,and MR Steiger method was used to exclude reverse causality.RESULTS AND CONCLUSION:(1)The analysis revealed that IgD-CD38dim％B cells,HLA DR on CD14+CD16-monocytes,and HLA DR on CD14+monocytes were significantly and causally associated with an increased risk of osteoporosis(P＜6.8x10-5).Sensitivity analyses confirmed the reliability and stability of these results.Furthermore,among the immune cell types studied,28 demonstrated potential causal associations with osteonecrosis,23 with osteomalacia,46 with osteoporosis,and 45 with the combined condition of osteoporosis and pathologic fracture(P＜0.05).(2)This study provides a comprehensive assessment of the causal influence of immune cells on metabolic bone diseases,highlighting the significant role of immune factors in the pathogenesis of these conditions,particularly osteoporosis.The findings contribute valuable insights into the relationship between immune traits and bone metabolism,laying a foundation for future research in this domain.This study utilized an international database to analyze the European population,which offers a reference for Chinese biomedical research in the realm of metabolic bone diseases,and facilitates the conduction of relevant studies for the Chinese population,thereby promoting the enhancement of the prevention and treatment of metabolic bone diseases.

OBJECTIVE To explore optimization pathways for the drug traceability code management model in outpatient pharmacy workflows， providing practical evidence for enhancing the efficiency of pharmaceutical service. METHODS Taking the outpatient pharmacy of the First Affiliated Hospital of Sun Yat-sen University as the research subject， a comprehensive drug traceability system was established through three key interventions： upgrading the information system architecture [including integration of the hospital information system （HIS） with the traceability platform]， workflow optimization （reorganizing the inventory-dispensing-verification tripartite process）， and designing a dual-mode traceability data collection mechanism （primary data capture at dispensing stations and supplementary capture at verification stations）. Operational efficiency differences before and after implementation were analyzed using the medical insurance data and service timeliness metrics in September 2024. RESULTS After the implementation of drug traceability code management， in terms of data collection: Mode Ⅰ （verification-stage capture） uploaded 26 144 records， while Mode Ⅲ （inventory-as-sales capture） uploaded 443 061 records， totaling 469 205 entries； in terms of time efficiency： average drug dispensing time increased from 28.74 s to 43.37 s （enhanced by 51%）. Through dynamic staffing adjustments， patient wait time only extended from 8.04 min to 8.67 min （enhanced by 8%）. CONCLUSIONS Drug traceability code management can be effectively implemented via a “system reconstruction-process reengineering-human-machine collaboration” trinity strategy， leveraging informatization （e.g.， dual-mode data capture） to offset manual operation delays， which validates the feasibility of balancing national traceability demands with service efficiency in outpatient pharmacies.

Objective:To develop PixelSIFT-UNet, a novel semantic segmentation model that integrates deep learning with scale-invariant feature transform (SIFT) algorithm to improve the segmentation accuracy of oral mucosal lesions.Methods:This investigation utilized 838 standard clinical white light images of oral mucosal diseases acquired from January 2020 to December 2022 at the Stomatology Hospital Zhejiang University School of Medicine. Randomization was achieved through Python′s random.seed function implementation. The random sample function was subsequently applied for sampling distribution. The dataset was stratified into three subsets with a 6∶2∶2 ratio: training ( n=506), validation ( n=166), and testing ( n=166). Lesion boundaries were annotated using Labelme software, and a PixelSIFT-UNet-based deep learning model was developed with VGG-16 and ResNet-50 backbone networks. Model parameters were optimized using the validation set, and performance metrics [including Dice coefficient, mean intersection over union (mIoU), mean pixel accuracy (mPA), and Precision] were assessed on the test set. The model′s performance was benchmarked against conventional semantic segmentation frameworks (U-Net and PSPNet). Results:The developed PixelSIFT-UNet model could achieve precise segmentation of three common oral mucosal lesions: oral lichen planus, oral leukoplakia, and oral submucous fibrosis. Utilizing VGG-16 as the backbone network, the model achieved Dice coefficient, mIoU, mPA, and Precision values of 0.642, 0.699, 0.836, and 0.792, respectively. Implementation with ResNet-50 backbone network yielded metrics of 0.668, 0.733, 0.872 and 0.817, demonstrating significant improvements across all performance indicators compared to conventional U-Net model (relevant metrics: 0.662, 0.717, 0.861 and 0.809) and PSPNet model (relevant metrics: 0.671, 0.721, 0.858 and 0.813).Conclusions:The proposed PixelSIFT-UNet architecture demonstrates superior performance in oral mucosal lesion segmentation tasks, surpassing conventional semantic segmentation models and providing robust quantitative improvements in segmentation accuracy.