AIM:To investigate the effect of apoptosis stimulation protein 2(ASPP2)on the development of traumatic proliferative vitreoretinopathy(PVR)in a rabbit model.METHODS:A total of 30 New Zealand white rabbits were selected, and the right eyes of all rabbits were inflicted with a scleral penetrating wound of approximately 6 mm. Then rabbits were randomly and evenly divided into experimental and control group. The experimental group received an intravitreal injection of 0.1 mL of ARPE-19 cell suspension transfected with lentivirus-ASPP2, while the control group received an intravitreal injection of 0.1 mL of ARPE-19 cell suspension transfected with negative control lentivirus. At 1, 2, 3, and 4 wk after PVR modeling, a handheld tonometer was used to measure the intraocular pressure. Moreover, fundus photography and ocular ultrasound examination were performed to detect the retinal proliferation. At 4 wk after modeling, hematoxylin-eosin staining was used to observe the morphological retinal changes, and Western blot was used to determine the protein expressions of ASPP2 and the epithelial-mesenchymal transition(EMT)marker Vimentin in the rabbit retinas.RESULTS:At 1, 2, 3, and 4 wk after modeling, there were no significant changes in intraocular pressure within the experimental and control group of rabbit eyes, either before or after PVR modeling, the success rate of PVR modeling in the experimental group was lower than that in the control group(P<0.05), and the retinal proliferation and structural disorder was less severe in the experimental group. At 4 wk after modeling, the retinal protein expression level of ASPP2 in the experimental group was significantly higher than that in the control group(t=3.193, P=0.033), while the Vimentin protein expression level was significantly lower in the experimental group(t=-3.599, P=0.023).CONCLUSION:ASPP2 may be involved in regulating the process of EMT in retinal pigment epithelial cells, thereby delaying the development and progression of traumatic PVR in rabbit eyes.

ObjectiveTo explore the establishment of performance assessment indicators for the classification and grading of public health staff in district-level Centers for Disease Control and Prevention (CDCs), and to provide a basis for such evaluations. MethodsThrough literature review and group interviews, performance evaluation indicators were developed based on competency evaluation. Experts were invited to evaluate the weight of performance evaluation indicators for public health staff from different categories, with the average value used to represent the weight of each indicator. ResultsTwenty-nine experts from universities in Shanghai, municipal CDCs, and district CDCs participated, yielding an expert authority coefficient of 0.86. The performance evaluation indicators for department managers were categorized into three levels, with 4 indicators at the primary level, 16 indicators at the secondary level, and 42 indicators at the tertiary level, while those for general staff included 4 primary indicators, 15 secondary indicators, and 36 tertiary indicators. Significant differences were observed in the weight coefficients of the primary indicators (internal operations, professional work, and learning and growth) between department managers and general staff. The top three secondary indicators for department managers were department management, monitoring and prevention, and level of expertise. For mid-level and senior staff, the top three secondary indicators were monitoring and prevention, level of expertise, and research work. The top three secondary indicators for junior staff were monitoring and prevention, professional expertise, and professional attitude. No significant statistical differences were found among tertiary indicators. ConclusionThe developed performance evaluation indicators are reliable. Staff at different levels and classifications should be evaluated using different performance evaluation standards to accurately reflect individual performance and contributions.

Objective To detect diatoms in tissues and water samples from drowning cases by gene array,and explore the application value of DNA microarray.Methods Diatoms in the lung,liver,kidney samples,and on-site water samples from 19 drowned corpses that appeared in the rivers of Zhongshan City between July 2021 and April 2022,were detected by gene arrays.Moreover,diatom detection was also performed on 28 samples from 7 corpses by microscope.Then the testing results were compared and analyzed.Results For those 28 samples,diatom types in both tissue and water samples by gene detection were more than those detected by microscopy,the detection was statistically significant(P<0.05).However,there was no statistically significant difference(P>0.05)in the detection of diatom types between tissue samples and water samples both using gene arrays.In terms of tissue samples,diatoms were easier to be detected in lung than liver or kidney,and there were also more types of diatoms detected in lung.Diatom detection by gene arrays showed that the diatom types showed a decreasing trend as the tissue was further away from the entrance of body,and the difference of diatom types increased among tissues.Conclusion The gene array can effectively detect the diatom types and distribution characteristics in drowned corpses,and has great potential in the research of the traceability analysis of corpses found in water and the causes of death.

Medical professional spirit is an indispensable and important component in the modern medical system.It not only plays a key role in the harmonious development of doctor-patient relationships,but also is of great significance for the im-provement of medical quality and medical services.This article will start from the problems faced by the medical environment in the broader context,and take the cultivation of the"Guangdong Doctor"spirit,namely"cherishing life,respecting science,be-ing willing to contribute,and being united and enterprising",as an example to explore the importance of reshaping the medical professional spirit.Through specific measures such as strengthening professional spirit education,setting up role models,promo-ting the advanced,improving systems,strengthening supervision,and creating a good working environment,which aims to en-hance the professional quality and ethics of doctors,with the expectation of providing useful references for promoting harmonious doctor-patient relations and improving the quality of medical services.

Objective:To explore the impact of female body mass index (BMI) on pregnancy outcomes in artificial insemination with donor sperm (AID).Methods:A retrospective cohort study was conducted on 4 484 couples with 9 852 AID treatment cycles treated at Reproductive Center of Guangdong Institute of Reproductive Science from January 2011 to September 2024. Participants were divided into four groups based on BMI: low BMI group (BMI<18.5 kg/m 2), normal BMI group (18.5 kg/m 2≤BMI<24.0 kg/m 2), overweight group (24.0 kg/m 2≤BMI<28.0 kg/m 2), and obese group (BMI≥28.0 kg/m 2). General characteristics and pregnancy outcomes were compared across groups. Kaplan-Meier survival analysis was used to calculate cumulative pregnancy rates from one to six cycles. Generalized estimating equations (GEE), univariate and multivariate logistic and Cox regression analysis were performed, adjusting for age, basal follicle-stimulating hormone, basal luteinizing hormone, endometrial thickness, clinical diagnosis, and treatment protocol, to explore correlations between female BMI and clinical pregnancy rate, spontaneous abortion rate, and cumulative pregnancy rate. Results:1) There were no statistically significant differences in clinical pregnancy rate and spontaneous abortion rate among the low BMI group, the normal BMI group, the overweight group, and the obesity group (all P>0.05). 2) Cumulative pregnancy rates for AID cycles 1-6 were 17.60%, 31.60%, 43.08%, 54.37%, 61.83% and 73.68%, respectively. 3) Multivariate GEE analysis revealed that female age ( OR=0.962, 95% CI: 0.950-0.974, P<0.001), endometrial thickness ( OR=1.040, 95% CI:1.011-1.069, P=0.006), and natural cycles ( OR=1.171, 95% CI: 1.060-1.294, P=0.002) influenced clinical pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in clinical pregnancy rates of low BMI group, overweight group, and obese group (all P>0.05). Multivariate logistic analysis showed that female age ( OR=1.051, 95% CI: 1.012-1.091, P=0.010), endometrial thickness ( OR=0.920 , 95% CI: 0.847-1.000, P=0.049) and polycystic ovary syndrome ( OR=1.927, 95% CI: 1.044-3.556, P=0.036) influenced spontaneous abortion rates. Compared with the normal BMI group, there were no statistically significant differences in spontaneous abortion rates of low BMI group, overweight group and obese group (all P>0.05). 4) Cox regression analysis indicated that female age ( HR=0.939, 95% CI: 0.928-0.950, P<0.001), endometrial thickness ( HR=1.039, 95% CI: 1.013-1.066, P=0.003) and natural cycles ( HR=1.957, 95% CI: 1.785-2.146, P<0.001) influenced cumulative pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in cumulative pregnancy rates of low BMI group, overweight group and obese group (all P>0.05). Conclusion:Female BMI does not significantly affect clinical pregnancy rates, spontaneous abortion rates and cumulative pregnancy rates in AID.

Objective To investigate the role of autophagy involving the protein kinase B/sterol regulatory element binding protein 1(Akt/SREBP-1)signaling pathway in diabetic retinopathy(DR).Methods DR rat models were estab-lished via the intraperitoneal injection of streptozotocin.Rats were randomized into control(normal rats)and DM-DR groups(DR rats).The expression of autophagy-related proteins(autophagy markers LC3-Ⅱ and LC3-Ⅰ,autophagy specific substrate p62,and autophagy-related protein Beclin1)in rat retinas was compared between the two groups.Rats were di-vided into control B(normal rats injected with 1 μL saline),DR(DR rats injected with 1 μL saline),DR+si-NC(DR rats injected with 1 μL of the negative control siRNA),and DR+si-SREBP-1 groups(DR rats injected with 1 μL of the SREBP-1 siRNA).All interventions were given 1 day before modeling and 8 weeks after modeling.Akt/SREBP-1 expression and retinal ganglion cell(RGC)survival were compared among groups.R28 rat retinal precursor cells were classified into con-trol C(normal glucose,24 h),HG(high glucose,24 h),HG+si-NC(si-NC transfection+high glucose,24 h),and HG+si-SREBP-1 groups(si-SREBP-1 transfection+high glucose,24 h).The expression of autophagy-related proteins and au-tophagosome-lysosome fusion were compared among groups.Western blot and immunofluorescence were used to examine the expression of Akt,SREBP-1 and autophagy-related proteins.Results The relative expression of Beclin1 and p62 pro-teins and the LC3-Ⅱ/Ⅰ ratio in the DM-DR group were significantly higher than those in the control group 1 and 8 weeks after modeling(all P＜0.001).Compared with the control B group,the DR group exhibited elevated SREBP-1 and reduced Akt protein levels 1 and 8 weeks after modeling(all P＜0.01).RGC counts in the DR and DR+si-NC groups were significantly lower than those in the control B group(P＜0.001).The RGC count in the DR+si-SREBP-1 group was significantly higher than that in the DR+si-NC group(P＜0.001).Compared with those in the control C group,the Beclin1 and p62 protein levels and the LC3-Ⅱ/Ⅰ ratio were increased in the HG and HG+si-NC groups(all P＜0.01).Compared with those in the HG+si-NC group,the Beclin1 and p62 protein levels and the LC3-Ⅱ/Ⅰ ratio were reduced in the HG+si-SREBP-1 group(all P＜0.05).The HG and HG+si-NC groups showed significantly more LC3B/LAMP1 dual-positive puncta than the control C group(P＜0.001).The HG+si-SREBP-1 group showed significantly less LC3B/LAMP1 dual-positive puncta than the HG+si-NC group(P＜0.001).Conclusion SREBP-1 knockdown enhances autophagic flux in early DR to attenuate RGC loss.Thus,the Akt/SREBP-1 axis represents a promising therapeutic target for DR.

Medical professional spirit is an indispensable and important component in the modern medical system.It not only plays a key role in the harmonious development of doctor-patient relationships,but also is of great significance for the im-provement of medical quality and medical services.This article will start from the problems faced by the medical environment in the broader context,and take the cultivation of the"Guangdong Doctor"spirit,namely"cherishing life,respecting science,be-ing willing to contribute,and being united and enterprising",as an example to explore the importance of reshaping the medical professional spirit.Through specific measures such as strengthening professional spirit education,setting up role models,promo-ting the advanced,improving systems,strengthening supervision,and creating a good working environment,which aims to en-hance the professional quality and ethics of doctors,with the expectation of providing useful references for promoting harmonious doctor-patient relations and improving the quality of medical services.

Objective:To explore the impact of female body mass index (BMI) on pregnancy outcomes in artificial insemination with donor sperm (AID).Methods:A retrospective cohort study was conducted on 4 484 couples with 9 852 AID treatment cycles treated at Reproductive Center of Guangdong Institute of Reproductive Science from January 2011 to September 2024. Participants were divided into four groups based on BMI: low BMI group (BMI<18.5 kg/m 2), normal BMI group (18.5 kg/m 2≤BMI<24.0 kg/m 2), overweight group (24.0 kg/m 2≤BMI<28.0 kg/m 2), and obese group (BMI≥28.0 kg/m 2). General characteristics and pregnancy outcomes were compared across groups. Kaplan-Meier survival analysis was used to calculate cumulative pregnancy rates from one to six cycles. Generalized estimating equations (GEE), univariate and multivariate logistic and Cox regression analysis were performed, adjusting for age, basal follicle-stimulating hormone, basal luteinizing hormone, endometrial thickness, clinical diagnosis, and treatment protocol, to explore correlations between female BMI and clinical pregnancy rate, spontaneous abortion rate, and cumulative pregnancy rate. Results:1) There were no statistically significant differences in clinical pregnancy rate and spontaneous abortion rate among the low BMI group, the normal BMI group, the overweight group, and the obesity group (all P>0.05). 2) Cumulative pregnancy rates for AID cycles 1-6 were 17.60%, 31.60%, 43.08%, 54.37%, 61.83% and 73.68%, respectively. 3) Multivariate GEE analysis revealed that female age ( OR=0.962, 95% CI: 0.950-0.974, P<0.001), endometrial thickness ( OR=1.040, 95% CI:1.011-1.069, P=0.006), and natural cycles ( OR=1.171, 95% CI: 1.060-1.294, P=0.002) influenced clinical pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in clinical pregnancy rates of low BMI group, overweight group, and obese group (all P>0.05). Multivariate logistic analysis showed that female age ( OR=1.051, 95% CI: 1.012-1.091, P=0.010), endometrial thickness ( OR=0.920 , 95% CI: 0.847-1.000, P=0.049) and polycystic ovary syndrome ( OR=1.927, 95% CI: 1.044-3.556, P=0.036) influenced spontaneous abortion rates. Compared with the normal BMI group, there were no statistically significant differences in spontaneous abortion rates of low BMI group, overweight group and obese group (all P>0.05). 4) Cox regression analysis indicated that female age ( HR=0.939, 95% CI: 0.928-0.950, P<0.001), endometrial thickness ( HR=1.039, 95% CI: 1.013-1.066, P=0.003) and natural cycles ( HR=1.957, 95% CI: 1.785-2.146, P<0.001) influenced cumulative pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in cumulative pregnancy rates of low BMI group, overweight group and obese group (all P>0.05). Conclusion:Female BMI does not significantly affect clinical pregnancy rates, spontaneous abortion rates and cumulative pregnancy rates in AID.

Against the dual backdrop of increasingly mature big data applications and structural constraints in traditional human resource management models,comprehensive digital governance and reform of human resource management systems have become major challenges for public hospitals.By examining the core challenges faced by public hospitals in the big data era,it analyzes the implementation pathway of digital governance for human resource in public hospital,taking Guangdong Second People's Hospital as a practical case.lt summarizes the application effectiveness and the value of big data technology applucations in human resource management,providing support for talent system development.

Breast cancer， as one of the major cancers threatening women's health globally， is characterized by high aggressiveness， high malignancy， and poor prognosis. In 2022， according to the World Health Organization， breast cancer ranked second in the incidence of female cancers globally， accounting for 11.6% of all new cancer cases. Western medical doctors mainly use surgery， chemotherapy， radiotherapy， endocrine therapy， and molecular targeted therapy to treat breast cancer， which can effectively improve the recurrence rate and death rate of breast cancer patients and prolong the survival period of patients. However， its treatment process is often accompanied by a series of side effects， which bring challenges to patients' quality of life. However， traditional Chinese medicine （TCM） has demonstrated significant therapeutic effects in inhibiting the proliferation and metastasis of breast cancer cells， reducing toxic side effects produced by chemotherapy， and improving patients' survival rate and quality of life. It is therefore particularly necessary to investigate the pharmacological effects and mechanisms of TCM in breast cancer treatment. The authors combed the pharmacological effects and mechanisms of the etiology and pathogenesis of breast cancer， identification and treatment of breast cancer， TCM compound， TCM single medicine， TCM monomer， and external treatment of TCM to prevent and control breast cancer and found that TCM has a therapeutic effect on breast cancer. It can play a role in increasing the effectiveness， reducing the toxicity， and alleviating the adverse reactions. It can inhibit breast cancer cell proliferation， cell cycle， migration， invasion， immune escape， epithelial-mesenchymal transition （EMT）， aerobic glycolysis， mitochondrial biosynthesis， aminoacyl-tRNA biosynthesis， reduce drug resistance， promote apoptosis， ferroptosis， cell autophagy， and regulate the tumor immune microenvironment by regulating signaling pathways. This paper aims to provide new ideas and methods for experimental research and clinical treatment of breast cancer.