Functional disorders of the Golgi apparatus are harmful to the health of organisms, leading to various diseases. Removing damaged Golgi apparatus is crucial for maintaining cellular homeostasis, therefore, autophagy of Golgi apparatus has gradually attracted attention. This article summarizes Golgi autophagy, briefly describes its structure and functions, Golgi autophagy receptors, and the role of Golgi autophagy in disease treatment. It also proposes the new concept of Golgimedicine, which looks forward to the role of Golgi in disease diagnosis, treatment, prognosis, genetic diseases, and rare diseases. This article aims to explore the scientific connotations of Golgi autophagy, Golgi structure and function from the perspective of Golgimedicine, providing theoretical references for drug target research, new drug development, and the healthy development of humanity.

Objective: To investigate the prevalence of depressive symptoms among college freshmen and analyze their influencing factors, so as to provide insights into the prevention and intervention of depressive symptoms among college students. Methods: The freshmen enrolled in a college of Hunan Province from 2020 to 2022 were recruited, and demographic data, diet and sleep status were collected using questionnaire surveys. Depressive symptoms were evaluated using Patient Health Questionnaire-9. Factors affecting depressive symptoms were analyzed using a multivariable logistic regression model. Results: Totally 17 862 questionnaires were allocated, and 16 480 valid questionnaires were recovered, with an effective rate of 92.26%. There were 3 374 students of 2020 cohort, 7 038 students of 2021 cohort and 6 068 students of 2022 cohort, 6 029 boys (36.58%) and 10 451 girls (63.42%). The prevalence of depressive symptoms among freshmen was 41.37%. Multivariable logistic regression analysis showed that female (OR=1.482, 95%CI: 1.377-1.594), enrolling through the college entrance examination (OR=1.561, 95%CI: 1.384-1.809), depression history (OR=1.990, 95%CI: 1.513-2.618), abnormal marital status of parents (divorced, OR=1.197, 95%CI: 1.064-1.348; other problem, OR=1.401, 95%CI: 1.174-1.672), abnormal diet (mild, OR=2.883, 95%CI: 2.585-3.105; moderate, OR=6.755, 95%CI: 4.653-9.808; severe, OR=38.897, 95%CI: 12.200-124.012) and abnormal sleep (mild, OR=2.785, 95%CI: 2.593-2.992; moderate, OR=9.009, 95%CI: 7.011-11.578; severe, OR=29.281, 95%CI: 14.163-60.536) were associated with increased risk of depressive symptoms among college freshmen. Conclusion The prevalence of depressive symptoms among college freshmen is relatively high, and is influenced by gender, mode of admission, history of depression, parental marital status, diet and sleep.

Objectives To understand the quality status of disinfection products in the market in Shaanxi Province, and to provide a basis for taking targeted management measures. Methods From 2020 to 2023, in accordance with the national disinfection product management regulations and standards, the physicochemical and microbial tests of disinfection products in Shaanxi Province were carried out through supervised sampling, and the test results were analyzed according to the active ingredients, illegal addition, stability, and bactericidal or bacteriostatic performance. Results The overall qualification rate of the active ingredient content of disinfectants sampled in Shaanxi Province was 90.48%, with the lowest qualification rate in 2023 (84.38%). The overall qualification rate of quantitative sterilization test of disinfectants was 90.12%, showing a decreasing trend year by year (P=0.272). The overall qualification rate of anti-bacterial products was 88.59%, and the bactericidal test results of 20 antibacterial products were all qualified. The overall qualification rate of bacteriostatic performance testing for bacteriostatic products was 86.17%, with the pass rate of bacteriostatic product germicidal efficacy testing of different components in descending order being quaternary ammonium salt/silver ion > guanidine > others > lysozyme, and there was statistically significant difference (P=0.004). The detection rate of illegal additives in antimicrobial products was 7.07%, with the main detection indicators being miconazole nitrate, clobetasol propionate, and dexamethasone acetate. Conclusion The qualified rate of disinfection products in Shaanxi Province is relatively high, but there is a downward trend. It is necessary to continue to strengthen the daily supervision and product testing of disinfection product manufacturers, and promote the continuous improvement of disinfection product quality.

Objective To investigate the mechanism and protective effect of Humanin(HN)on rotenone(Rot)-induced toxic damage for dopamine neurons.Methods The Rot-poisened PC12 cell model was constructed,and the control group,the Rot poisening group,the HN pretreated Rot poisening group,and the HN treatment group were set up.ELISA was used to detect the content of HN inside and outside of Rot-infected cells,CCK-8 assay was used to detect cell viability,and ATP detection kit was used to detect the intracellular ATP content.Dichloro-dihydro-fluorescein diacetate(DCFH-DA)assay was used to detect the level of reactive oxygen species(ROS)in cells.Western blotting was performed to detect the expression level of mitochondrial autophagy regulatory proteins Pink1,Parkin,p62,LC3,mitochondrial biogenesis regulatory protein PGC1α,division/fusion regulatory proteins OPA1,MFN2,DRP1,p-DRP1 and antioxidant stress regulatory proteins Keap1 and Nrf2.HBAD-mcherry-EGFP-LC3 adenovirus transfected cells was used to observed the number of autophagosomes and autophagolysosomes.Results The results showed that the intracellular concentration of HN in PC12 in the Rot poisening group was significantly higher than that in the control group(P＜0.05);Compared with the control group,the Rot poisening group had significantly decreased activity of PC12 cells,decreased ATP content and increased production of ROS.After the poisen of Rot in PC12 cells,the expression of Pink1 and p-Parkin,the ratio of LC3Ⅱ/LC3Ⅰ and the expression of p-DRP1 in mitochondrial fusion protein was increased,while the expression of p62,the expression of mitochondrial biogenesis protein PGC1 α,mitochondrial fusion proteins MFN2 and OPA1,and antioxidant stress proteins Keap1 and Nrf2 were decreased(all P＜0.05).The number of autophagosomes and autophagolysosomes in PC12 cells in the Rot poisening group was higher than that in the control group(P＜0.05),and HN pretreatment(20 μmol/L)could significantly improve the changes mentioned above caused by Rot poisening(P＜0.05).Conclusion HN ameliorates Rot-induced toxic damage for dopamine neurons by inhibiting mitophagy and mitochondrial division and promoting mitochondrial biogenesis and fusion,and anti-oxidative stress.

Aim To investigate the effect of benzyl iso-thiocyanate (BITC) on the proliferation of mouse U14 cervical cancer cells and to explore the mechanism of cytotoxicity based on transcriptomic data analysis. Methods The effect of BITC on U14 cell activity was detected by MTT, nuclear morphological changes were observed by Hochest 33258 and fluorescent inverted microscope, cell cycle and apoptosis were determined by flow cytometry, and the transcriptome database of U14 cells before and after BITC (20 μmol · L

Objective To investigate the clinical manifestations,molecular genetics and gonadal pathol-ogy characteristics of patients with disorders of sex development(DSD),and to summarize the clinical experi-ence of identifying rare diseases from common symptoms.Methods The clinical data of 416 patients with DSD diagnosed and treated in the multidisciplinary center of DSD of Guangzhou Women and Children's Medical Cen-ter from May 2018 to August 2023 were retrospectively analyzed,summarized and discussed.Results Accord-ing to chromosome karyotype,416 cases of DSD were classified into three types:92 cases(22.1％)of abnormal sex chromosome karyotype,285 cases(68.5％)of 46,XY karyotype and 39 cases(9.4％)of 46,XX karyotype.Among the 92 patients with abnormal sex chromosome karyotype,59 cases were raised as males,18 cases(30.5％)complained of short penis with hypospadias and cryptorchidism.The most common karyotype was 45,X/46,XY(58 cases,63.0％).Among the 285 patients with 46,XY karyotype,238 cases were raised as males,and 63 cases(26.5％)complained of short penis and hypospadias;47 cases were raised as females,and 13 ca-ses(27.7％)complained of inguinal mass.A total of 216 patients with 46,XY karyotype were subjected to whole exome gene detection,and 155 cases(71.8％)were found to have molecular pathogenesis with the clinical phe-notype.Among the 39 patients with 46,XX karyotype,19 cases were raised as males,and 8 cases(42.1％)com-plained of short penis and hypospadias.In the 18 cases of gonad biopsy,17 cases showed testicular tissue in go-nads.Whole exome sequencing was performed in 14 cases.NR5A1 gene heterozygous mutation,SRY gene muta-tion and SOX3 gene mutation were found in 2 cases,respectively(14.3％).Twenty cases were raised as females,and 14 cases(70.0％)complained of clitoral hypertrophy.Gonad biopsy was performed in 8 cases,with 7 cases of ovotestis(87.5％)and 1 case of NR5A1 gene heterozygous mutation(14.3％).Conclusions The etiologies of DSD are complex and diverse,and the clinical manifestations are various,which can be manifested as hypospa-dias,micropenis,cryptorchidism and other common symptoms of the urinary system.Different etiologies have dif-ferent treatment options.Therefore,chromosome karyotype,molecular genetic testing and gonadal pathology can be used to clarify the cause of disease,especially for rare diseases,improve the detection rate,reduce the rate of missed diagnosis,and ensure reasonable treatment,especially sex selection.

Endodontic diseases are a kind of chronic infectious oral disease.Common endodontic treatment concepts are based on the removal of inflamed or necrotic pulp tissue and the replacement by gutta-percha.However,it is very essential for endodontic treatment to debride the root canal system and prevent the root canal system from bacterial reinfection after root canal therapy(RCT).Recent research,encompassing bacterial etiology and advanced imaging techniques,contributes to our understanding of the root canal system's anatomy intricacies and the technique sensitivity of RCT.Success in RCT hinges on factors like patients,infection severity,root canal anatomy,and treatment techniques.Therefore,improving disease management is a key issue to combat endodontic diseases and cure periapical lesions.The clinical difficulty assessment system of RCT is established based on patient conditions,tooth conditions,root canal configuration,and root canal needing retreatment,and emphasizes pre-treatment risk assessment for optimal outcomes.The findings suggest that the presence of risk factors may correlate with the challenge of achieving the high standard required for RCT.These insights contribute not only to improve education but also aid practitioners in treatment planning and referral decision-making within the field of endodontics.

Objectives:To investigate clinical characteristics, outcomes and antimicrobial resistance of community-acquired Pseudomonas aeruginosa (CAPA) infections in Chinese pediatric patients. Methods:This retrospective study was conducted at 6 tertiary hospitals in China during January 2016 to December 2018. The clinical and microbiological data of CAPA infected hospitalized children in Hainan and in other regions were collected and compared, and the antimicrobial resistance patterns, clinical characteristics and antibiotic therapy were analyzed. Between different groups were compared using the Chi-square test and Mann-Whitney U test. Results:Among 91 patients, 63 cases were males, 28 cases were females, and 74 cases were from Hainan province, 17 cases were from other regians. The age of consultation was 22.5 (5.4, 44.0) months. Twenty-four cases (26%) had underlying diseases. Fever (79 cases (87%)) and cough (64 cases (70%)) were common initial symptoms. Other concomitant symptoms included wheezing 8 cases (9%), diarrhea 3 cases (3%) and vomiting 4 cases (4%). Twenty-eight cases (31%) had organ infections, including pneumonia 22 cases (24%), skin infection 5 cases (5%), meningitis, intra-abdominal infection and upper urinary tract infection each 1 case (1%). The resistance rate of CAPA isolates to cefepime (4% (4/90)), amikacin (1% (1/90)), ciprofloxacin (2% (2/90)) and levofloxacin (1% (1/89)) was low, and to ceftazidime, piperacillin, piperacillin-azobactam, carbapenem was 12% (11/90), 3/16, 18% (10/56) and 6% (5/90), respectively. Antimicrobial combination therapy accounted for 52% (47/91) of empirical therapy and 59% (52/88) of definite therapy. Two cases (2%) were hopeless discharged, and 3 cases (3%) died during hospitalization. The worse prognosis of CAPA infection is significantly different among children in other regions and in Hainan (4/17 vs. 1% (1/74), χ2=9.74, P<0.05). Conclusions:The invasive CAPA-infection has regional difference in incidence and prognosis in China. Clinical symptoms and signs are non-specific. CAPA strains isolated from pediatric patients display low level of resistance to most of the common antipseudomonal antibiotics. The proportion of poor prognostic outcome is lower in Hainan than in other regions.

Objective To explore the comparative study of constructing prediction models for muscle invasive of bladder cancer based on different machine learning algorithms combined with MRI radiomic.Methods A total of 187 bladder cancer patients who underwent MRI examination and were confirmed by pathology were retrospectively selected.Patients were randomly divided into a training set and a test set in a 7∶3 ratio.The patients were divided into muscle invasive bladder cancer(MIBC)group and non-muscle invasive bladder cancer(NMIBC)group according to the surgical pathology results.Tumor volume of interest(VOI)was outlined on the images of T2 WI,diffusion weighted imaging(DWI),and apparent diffusion coefficient(ADC),and the radiomic features were extracted by A.K software,and dimensionality reduction was performed using the maximum relevance minimum redundancy(mRMR)algorithm combined with least absolute shrinkage and selection operator(LASSO).Six machine learning algorithms,including K-nearest neighbor(KNN),decision tree(DT),support vector machine(SVM),logistic regression(LR),random forest(RF),and explainable boosting machine(EBM)were used to construct the radiomic model and calculate the corresponding area under the curve(AUC),accuracy,sensitivity,and specificity,respectively.Results Six machine learning algorithms,including KNN,DT,SVM,LR,RF,and EBM were used to construct the radiomic model,and the AUC values for predicting MIBC in the training set were 0.863,0.838,0.853,0.866,0.977,0.997,and in the test set were 0.748,0.833,0.860,0.868,0.870,0.900.Among them,the MRI radiomic model constructed based on EBM had the highest predictive efficacy for MIBC,with AUC values,accuracy,sensitivity and specificity of 0.997,0.977,0.957 and 0.981 in the training set,and 0.900,0.877,0.800,and 0.894 in the test set,respectively.Conclusion Multiple machine learning algorithms combined with MRI radiomic to construct models have good predictive efficacy for MIBC,and the model constructed based on EBM shows the highest predictive value.

Objective To propose a object detection method based on an improved YOLOv8 model to solve the problems of the inspection robot in low accuracy for recognizing pointer-type or obscured meters.Methods Firstly,a YOLOv8 model was chosen as the foundation object detection model,based on which the coordinate attention(CA)mechanism was introduced to enhance the model's understanding of the spatial structure of the input data over long distances;secondly,the original complete IoU(CIoU)loss function was replaced by an efficient IoU(EIoU)loss function to accelerate the convergence of the model's detection frame;finally,the soft non-maximum suppression(Soft-NMS)function took the place of the traditional NMS method to suppress the redundant bounding box smoothly and further improve the detection accuracy.The improved YOLOv8 model(YOLOv8nxt model)was compared with the YOLOv8n model to verify its efficacy for object detection.Results The YOLOv8nxt model with a size of 6.2 M had the position loss decreased by 1.3％,mAP_0.5∶0.95 increased by 1.7％,detection accuracy raised by 0.87％and detection time prolonged by only 0.2 ms when comparted with the YOLOv8n model.Conclusion The improved YOLOv8 model-based object detection method enhances the accuracy and speed of the inspection robot's recognition of meters during movement,and can effectively solve the problems of the inspection robot in the object detection stage.[Chinese Medical Equipment Journal,2024,45(3):1-8]