This study aims to investigate the effects of astragalus polysaccharide (APS) on diabetic retinopathy through the SHH-Gli1-AQP1 pathway. The anti-type 2 diabetes mellitus (T2DM) targets of APS were identified through comprehensive searches of drug and disease-related databases. A protein-protein interaction network was then constructed, followed by GO and KEGG enrichment analyses.Molecular docking simulations were performed to evaluate the interactions of APS and metformin with Gli1 and AQP1. An in vivo T2DM rat model was established via streptozotocin (STZ) injection and treated with metformin and varying doses of APS for 12 weeks. Histological changes in retinal cells were assessed using H&E and PAS staining. The expression levels of AQP1, Gli1, and SHH in the retina were measured using immunohistochemistry, Western blotting, immunofluorescence, and ELISA. Additionally, mRNA expression of AQP1, Gli1, and SHH was quantified by RT-qPCR. Bioinformatic analyses indicated that Gli1 and AQP1, key components of the SHH-Gli1-AQP1 signaling pathway, may be associated with T2DM. Subsequent experiments demonstrated that the STZ-induced T2DM rats exhibited significant retinal damage, which was notably mitigated by both APS and metformin treatments. Furthermore, the SHH-Gli1-AQP1 signaling pathway was found to be overactivated in STZ-induced T2DM rats. Treatment with APS and metformin significantly reduced the elevated expression levels of SHH, Gli1, and AQP1. APS effectively inhibits retinal damage of STZinduced T2DM rats by restraining the SHH-Gli1-AQP1 signaling pathway.

This study aims to investigate the effects of astragalus polysaccharide (APS) on diabetic retinopathy through the SHH-Gli1-AQP1 pathway. The anti-type 2 diabetes mellitus (T2DM) targets of APS were identified through comprehensive searches of drug and disease-related databases. A protein-protein interaction network was then constructed, followed by GO and KEGG enrichment analyses.Molecular docking simulations were performed to evaluate the interactions of APS and metformin with Gli1 and AQP1. An in vivo T2DM rat model was established via streptozotocin (STZ) injection and treated with metformin and varying doses of APS for 12 weeks. Histological changes in retinal cells were assessed using H&E and PAS staining. The expression levels of AQP1, Gli1, and SHH in the retina were measured using immunohistochemistry, Western blotting, immunofluorescence, and ELISA. Additionally, mRNA expression of AQP1, Gli1, and SHH was quantified by RT-qPCR. Bioinformatic analyses indicated that Gli1 and AQP1, key components of the SHH-Gli1-AQP1 signaling pathway, may be associated with T2DM. Subsequent experiments demonstrated that the STZ-induced T2DM rats exhibited significant retinal damage, which was notably mitigated by both APS and metformin treatments. Furthermore, the SHH-Gli1-AQP1 signaling pathway was found to be overactivated in STZ-induced T2DM rats. Treatment with APS and metformin significantly reduced the elevated expression levels of SHH, Gli1, and AQP1. APS effectively inhibits retinal damage of STZinduced T2DM rats by restraining the SHH-Gli1-AQP1 signaling pathway.

This study aims to investigate the effects of astragalus polysaccharide (APS) on diabetic retinopathy through the SHH-Gli1-AQP1 pathway. The anti-type 2 diabetes mellitus (T2DM) targets of APS were identified through comprehensive searches of drug and disease-related databases. A protein-protein interaction network was then constructed, followed by GO and KEGG enrichment analyses.Molecular docking simulations were performed to evaluate the interactions of APS and metformin with Gli1 and AQP1. An in vivo T2DM rat model was established via streptozotocin (STZ) injection and treated with metformin and varying doses of APS for 12 weeks. Histological changes in retinal cells were assessed using H&E and PAS staining. The expression levels of AQP1, Gli1, and SHH in the retina were measured using immunohistochemistry, Western blotting, immunofluorescence, and ELISA. Additionally, mRNA expression of AQP1, Gli1, and SHH was quantified by RT-qPCR. Bioinformatic analyses indicated that Gli1 and AQP1, key components of the SHH-Gli1-AQP1 signaling pathway, may be associated with T2DM. Subsequent experiments demonstrated that the STZ-induced T2DM rats exhibited significant retinal damage, which was notably mitigated by both APS and metformin treatments. Furthermore, the SHH-Gli1-AQP1 signaling pathway was found to be overactivated in STZ-induced T2DM rats. Treatment with APS and metformin significantly reduced the elevated expression levels of SHH, Gli1, and AQP1. APS effectively inhibits retinal damage of STZinduced T2DM rats by restraining the SHH-Gli1-AQP1 signaling pathway.

This study aims to investigate the effects of astragalus polysaccharide (APS) on diabetic retinopathy through the SHH-Gli1-AQP1 pathway. The anti-type 2 diabetes mellitus (T2DM) targets of APS were identified through comprehensive searches of drug and disease-related databases. A protein-protein interaction network was then constructed, followed by GO and KEGG enrichment analyses.Molecular docking simulations were performed to evaluate the interactions of APS and metformin with Gli1 and AQP1. An in vivo T2DM rat model was established via streptozotocin (STZ) injection and treated with metformin and varying doses of APS for 12 weeks. Histological changes in retinal cells were assessed using H&E and PAS staining. The expression levels of AQP1, Gli1, and SHH in the retina were measured using immunohistochemistry, Western blotting, immunofluorescence, and ELISA. Additionally, mRNA expression of AQP1, Gli1, and SHH was quantified by RT-qPCR. Bioinformatic analyses indicated that Gli1 and AQP1, key components of the SHH-Gli1-AQP1 signaling pathway, may be associated with T2DM. Subsequent experiments demonstrated that the STZ-induced T2DM rats exhibited significant retinal damage, which was notably mitigated by both APS and metformin treatments. Furthermore, the SHH-Gli1-AQP1 signaling pathway was found to be overactivated in STZ-induced T2DM rats. Treatment with APS and metformin significantly reduced the elevated expression levels of SHH, Gli1, and AQP1. APS effectively inhibits retinal damage of STZinduced T2DM rats by restraining the SHH-Gli1-AQP1 signaling pathway.

This study aims to investigate the effects of astragalus polysaccharide (APS) on diabetic retinopathy through the SHH-Gli1-AQP1 pathway. The anti-type 2 diabetes mellitus (T2DM) targets of APS were identified through comprehensive searches of drug and disease-related databases. A protein-protein interaction network was then constructed, followed by GO and KEGG enrichment analyses.Molecular docking simulations were performed to evaluate the interactions of APS and metformin with Gli1 and AQP1. An in vivo T2DM rat model was established via streptozotocin (STZ) injection and treated with metformin and varying doses of APS for 12 weeks. Histological changes in retinal cells were assessed using H&E and PAS staining. The expression levels of AQP1, Gli1, and SHH in the retina were measured using immunohistochemistry, Western blotting, immunofluorescence, and ELISA. Additionally, mRNA expression of AQP1, Gli1, and SHH was quantified by RT-qPCR. Bioinformatic analyses indicated that Gli1 and AQP1, key components of the SHH-Gli1-AQP1 signaling pathway, may be associated with T2DM. Subsequent experiments demonstrated that the STZ-induced T2DM rats exhibited significant retinal damage, which was notably mitigated by both APS and metformin treatments. Furthermore, the SHH-Gli1-AQP1 signaling pathway was found to be overactivated in STZ-induced T2DM rats. Treatment with APS and metformin significantly reduced the elevated expression levels of SHH, Gli1, and AQP1. APS effectively inhibits retinal damage of STZinduced T2DM rats by restraining the SHH-Gli1-AQP1 signaling pathway.

Objective: To evaluate the impact of comprehensive nursing based on the behavioral goal attainment model on the clinical intervention effect among elderly female patients with stress urinary incontinence (SUI), so as to provide a basis for optimizing the nursing strategies for patients with SUI and improving their quality of life. Methods: A total of 190 elderly female patients with SUI who were treated in the Department of Gynecology of the First Hospital of Jilin University from January 2023 to August 2024 were selected and randomly divided into the intervention group and the control group. The control group received routine nursing care, while the intervention group received comprehensive nursing based on the behavioral goal attainment model. The 1-hour pad test was used to assess urinary incontinence symptoms. The bio-electrical stimulation feedback instrument was employed to detect the electromyogram (EMG) values in the pre-resting stage and slow-muscle stage for evaluating pelvic floor function. The bladder function scale was utilized to evaluate bladder function. The Chinese version of urinary incontinence ego-efficacy rating scales and incontinence quality of life assessment scale (IQOL) were used to assess self-efficacy and quality of life. The data on intervention compliance and nursing satisfaction were collected by a questionnaire survey. The differences between the two groups before and after the intervention were compared using the analysis of variance for repeated-measures data to evaluate the intervention effect. Results: There were 95 cases in the control group and 95 cases in the intervention group, with median ages were 64.00 (interquartile range, 23.50) and 64.50 (interquartile range, 19.50) years, respectively. The proportion of patients with cesarean section as the last delivery method was 21.05% in the control group and 12.63% in the intervention group. The proportion of patients with moderate disease severity was 67.36% in the control group and 58.95% in the intervention group. There were no statistically significant differences in age, body mass index, number of pregnancies, number of deliveries, marital status, educational level, mode of last delivery and severity of the disease between the two groups of patients (all P>0.05). The analysis of variance of repeated-measures data showed that there were significant interactions between time and group for the urine leakage volume in the 1-hour pad test, the EMG values in the pre-resting stage, the EMG values in the slow-muscle stage, the scores of the bladder function, the self-efficacy scores, and the IQOL scores (all P<0.05). After 12 weeks of intervention, the EMG values in the slow-muscle stage, the scores of the bladder function, the self-efficacy scores, the IQOL scores in the intervention group were higher than those in the control group, while the urine leakage volume in the 1-hour pad test and the EMG values in the pre-resting stage in the intervention group were lower than those in the control group (all P<0.05). The good compliance rate of intervention and the satisfaction rate of nursing in the intervention group were higher than those in the control group (83.16% vs. 60.00%, 90.53% vs. 75.79%, both P<0.05). Conclusion Comprehensive nursing based on the behavioral goal attainment model can improve urinary incontinence symptoms, pelvic floor function, bladder function, self-efficacy, quality of life, and intervention compliance of elderly female patients with SUI.

Objective:To establish a prediction method of diopter based on sequence of ocular biological parameters.Methods:A stratified random cluster sampling method was used to extract the dataset. The dataset consisted of data collected from January 2022 to January 2023 by the Eye & ENT Hospital, Fudan University, from children aged 5 to 13 years in 2 key schools and 2 general schools of Yangpu District, Shanghai. Children’s ocular biological parameters, including sex, age, diopter, axial length, corneal curvature, and anterior chamber depth were collected. The slope of the optimally fitted straight line was calculated using the least squares method. The least square-back propagation (BP) neural network model was established by combining baseline data and the pre-processed rate of the change of ocular biological parameters. The dataset was divided into the training set and the validation set according to the ratio of 8:2 for five-fold cross-validation. The model performance was evaluated by using the mean absolute error (MAE), mean squared error (MSE), root mean square error (RMSE), correlation coefficient R, and coefficient of determination R2. Results:The optimal performances of R2, R, RMSE, MAE, and MSE of the least square-BP neural network model were 0.96, 0.981 9, 0.214 2, 0.139 9 D, 0.045 9, respectively. The regression equation between the predicted value and the true value of the diopter was y=0.97 x+ 0.014 8, R2=0.97, with good correlation. In the internal verification, MAE values of the diopter at three, six, nine, and twelve months of follow-up were 0.110 1, 0.136 0, 0.153 7, and 0.184 8 D, respectively, which achieved clinically acceptable performance (less than 0.25 D). In the external validation, the errors were less than 0.25 D at all ages. Conclusions:A prediction method of diopter based on sequence of ocular biological parameters was successfully developed.

ObjectiveA rapid method for identification of chemical constituents in Baoyuantang reference sample was established in order to clarify the material basis of this formula. MethodBased on ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） and self-established database information， the chemical components in Baoyuantang were systematically characterized and identified. The chromatography was performed on a Waters ACQUITY UPLC HSS T3 column（2.1 mm×100 mm， 1.8 μm） with mobile phase of 0.1% formic acid aqueous solution（A）-0.1% formic acid acetonitrile solution（B） for gradient elution（0-3 min， 2%-19%B； 3-8 min， 19%B； 8-8.1 min， 19%-22%B； 8.1-14 min， 22%-29%B； 14-16 min， 29%B； 16-32 min， 29%-45%B； 32-32.1 min， 45%-90%B； 32.1-35 min， 90%-95%B； 35-36 min， 95%-98%B； 36-37 min， 98%-2%B； 37-40 min， 2%B）. Based on electrospray ionization（ESI）， continuum data format was collected in both positive and negative ion modes with a scanning range of m/z 50-1 500. Chemical constituents in the decoction of Baoyuantang were systematically analyzed by UNIFI 1.9.4 software matching， control comparison， The Encyclopedia of Traditional Chinese Medicine（ETCM） database search and literature reports. ResultA total of 229 components were identified under negative ion mode and 181 under positive ion mode， with a total of 322 components after removing duplicates， including 116 triterpene saponins， 66 flavonoids， 19 organic acids， 6 gingerphenols， 6 gingerols， 5 gingerones， 10 amino acids， 7 saccharides， 5 coumarins and 82 other components. Among them， 83， 141， 39， 35 and 38 components were attributed to Ginseng Radix et Rhizoma， Glycyrrhizae Radix et Rhizoma， Astragali Radix， Cinnamomi Cortex and Zingiberis Rhizoma Recens， respectively. ConclusionIn this study， the rapid characterization and identification of multi-class components in Baoyuantang was realized， and it was confirmed that the material basis of this formula was mainly triterpenoid saponins， flavonoids， gingerols and organic acids， and the chemical composition was attributed and analyzed， which provided a reference for the subsequent quality control research.

Objective:To observe any effect of electroacupuncture (EA) on the expression of phosphorylated extracellular signal-regulated protein kinase (p-ERK1/2) and phosphorylated cyclic adenosine monophosphate response element binding protein (p-CREB) in the spinal dorsal horns of diabetics experiencing neuropathic pain.Methods:Eight rats were randomly selected from 30 healthy male Sprague-Dawley rats as the normal group (N), and the remaining twenty-two rats were treated with a single high-dose intraperitoneal injection of streptozotocin (STZ) to establish a neuropathic pain model. The rats modeled successfully were randomly divided into a model group (M, n=8) and an EA group ( n=8). In the EA group, electroacupuncture was applied at the bilateral Hou san li and Kunlun acupoints starting on the 15th day after the STZ injection. The daily sessions lasted 30 minutes for 1 week. Body weight (BW), fasting blood glucose (FBG) and paw withdrawal latency (PWL) were observed before the STZ injection and on the 7th, 14th, and 21st days afterward. The expression of p-ERK1/2 and p-CREB in the dorsal horns of the rats′ spinal cords was detected using western blotting. The count of p-CREB-positive cells in the dorsal horns and their co-localization with neurons was detected using immunofluorescence. Results:In comparison with the N group, the average BW of the M group on the 7th, 14th and 21st days after the STZ injection was significantly lower, while the average FBG was significantly higher. There was no significant difference between the M and N groups in the average PWL on the 7th day after the STZ injection, but it had decreased significantly in the M group on the 14th and 21st days. Compared with the M group, the average PWL of the EA group was significantly longer on the 21st day after the injection. The expression of p-ERK1/2 and p-CREB protein in the spines of the M group was significantly higher than in the N group. p-CREB positive cells were more numerous in the M group compared with the N group, while in the EA group they were fewer. P-CREB was co-located with neurons in the spinal dorsal horn.Conclusion:EA can alleviate neuropathic pain effectively, perhaps by inhibiting the expression of p-ERK1/2 and p-CREB in the dorsal horns of the spinal cord.

Objective:To construct a scientific research evaluation model through principal component analysis, and to explore scientific research evaluation methods for hospitals.Methods:The professional title, educational background, positions and scientific research output information of the scientific research personnel in the First Hospital of Jilin University from 2019 to 2020 were collected. Delphi expert consultation was used to determine the assignment value of each variable, and use SPSS 21.0 software was used to build the principal component analysis model and conduct model verification.Results:The study collected a total of 1 882 researchers′ information. The KMO value of the validity test and the Bartlett sphere test meet the requirements of principal component analysis (KMO=0.731, P<0.05); the model obtained a total of 7 principal components. Among them, principal component 1 represents researchers who published SCI papers, applying for national, provincial and ministerial level scientific research projects, and their part-time positions in academic societies. The second principal component represents the status of applying for patents and publications, and the third principal component represents the status of the awards. The scores of scientific research output of researchers were summarized and sorted according to disciplines, according to which the neurology, endocrinology and metabolism, neurosurgery, general surgery and orthopedics ranked better. The model verification results found that researchers with senior professional titles and doctoral degrees had the highest median weighted comprehensive score( P<0.05), suggesting that scholars with higher professional title levels and higher education received higher comprehensive scientific research output scores. Conclusions:The scientific research evaluation model constructed by this study can provide scientific data reference for the hospital scientific research evaluation.