Objective To analyze the PLCβ4 gene mRNA expression and its clinical significance in hepatocellular carcinoma (HCC) based on TCGA database. Methods Based on the data on 424 clinical samples (including 374 cases of HCC tissues and 50 cases of nontumor liver tissues) in the TCGA database, Kaplan–Meier method, Cox regression analysis, and immune infiltration analysis were performed to evaluate the relationship between PLCβ4 gene and the clinical characteristics and survival prognosis of HCC patients. Correlation analysis between PLCβ4 gene and 24 types of immune cells was applied to investigate the relationship between PLCβ4 gene and immune cell infiltration and mRNA expression level of TP53 gene, a high-frequency mutation gene in HCC. In addition, paraffin sections of highly, moderately, and poorly differentiated tumor tissues and normal liver tissues from HCC patients were collected. The histopathological observation was carried out via HE staining method, and the expression levels of PLCβ4 and Ki-67 proteins in each clinical sample were verified through the immunohistochemical method. Results The expression level of PLCβ4 gene in HCC was significantly higher than that in normal tissues (P<0.01), and all patients in the PLCβ4 high-expression group had a significantly longer overall survival than those in the low-expression group (P<0.05), which suggested that PLCβ4 substantially affected the prognosis of HCC patients. Correlation analysis showed that the expression level of PLCβ4 gene was highly correlated with immune cell infiltration and the expression level of TP53 gene. As verified by clinical sample experiments, HE staining experiments and immunohistochemical results revealed that PLCβ4 gene expression in HCC tissue samples was significantly higher than that in normal tissues (P<0.001), and it was negatively correlated with the degree of differentiation. Conclusion PLCβ4 may serve as an independent prognostic factor in HCC and is expected to be a novel molecular target for HCC treatment.

AIM: To provide references for the non-clinical evaluation of therapeutic targets or drugs for retinoblastoma, fluorescently labeled Y79 cells are injected into the vitreous body of BALB/c-nu mice to establish a retinoblastoma model, and the Melphalan treatment group is used as a positive control, which is verified by fluorescence imaging technology.METHODS: BALB/c-nu mice were intravitreous injected with GFP transfected Y79 cells(1.0×107 cell/mL, 3 μL)to establish the model. On the 27th day, the mice were randomly divided into model control group and different doses of Melphalan groups(1, 3, 10 μg/eye groups)according to the fluorescence value of in vivo imaging, with vitreous body single administrated and ocular symptoms observed daily. Slit-lamp examination was performed at 12, 20, 29, 35, 42, 48, 55, 76, and 83 d after modeling. In vivo imaging was performed on 12, 20, 27, 41, 48, 55, 62, 69, 76, and 83 d. At the last treatment, the eyeball, brain and cerebellum tissues were removed for histopathological examination.RESULTS: From the sixth day of modeling, cloud-like substances could be seen in the eyes of the animals, and the cloud-like substances occupied the whole eyeball of the mice in the model control group at the later stage, accompanied by irregular growth of blood vessels. After 27 days of modeling, the fluorescence value was detected in all the animals, and the fluorescence value continued to increase with the extension of modeling time. The fluorescence value of the tumor reached the peak after 69-83 days of modeling. Histological examination showed severe proliferation of intraocular tumor cells in the model control group, and tumor cells were observed in the brain of 1 model animal. In the 10 μg/eye Melphalan group, the fluorescence value was significantly decreased at 17 d after administration. The fluorescence value of the 3 μg/eye Melphalan group was significantly inhibited at 59 d after administration. No tumor cells were found in the brain tissue of animals in all Melphalan groups.CONCLUSION: After vitreous injection of Y79/pCDH-LUC-copGFP cells in BALB/c-nu mice, significant ocular lesions and proliferation of tumor cells were observed in the eyes. Meanwhile, Melphalan intervention significantly inhibited tumor cells in a dose-dependent manner, indicating that the mouse model of retinoblastoma was successfully constructed.

Objective:To experimentally validate clinical samples, analyze the mRNA expression of the FYVE domain containing phosphatidylinositol 3-phosphate 5 kinase ( PIKFYVE) gene, and its clinical significance based on the Cancer Genome Atlas (TCGA) database in hepatocellular carcinoma (HCC). Methods:Data information on 424 clinical samples (including 374 cases of HCC tissues and 50 cases of non-tumorous liver tissues) were collected based on the TCGA database. Cox regression analysis and the Kaplan-Meier method were used to analyze the relationship between mRNA expression of the PIKFYVE gene and the clinical characteristics as well as survival prognosis in patients with HCC. The relationship between the PIKFYVE gene and immune cell infiltration was examined by correlation analysis with 24 kinds of immune cells. In addition, the mRNA expression level of the PIKFYVE gene and RAC-alpha serine/threonine-protein kinase ( AKT1), phosphatase and tensin homolog ( PTEN), protein kinase C alpha ( PRKCA), inositol polyphosphate-5-phosphatase ( INPP5D), phosphoinositide-3-kinase regulatory subunit 1 ( PIK3R1), inositol polyphosphate 4-phosphatase type II ( INPP4B) and phospholipase C beta 4 ( PLCB4) gene correlations were analyzed in HCC tissues. At the same time, paraffin sections of highly differentiated, moderately differentiated, poorly differentiated, and non-tumor liver tissues from patients with HCC were collected from the Department of Pathology of the First Affiliated Hospital of Xinjiang Medical University. The histopathological observation was performed by HE staining. Immunohistochemistry was used to verify the expression levels of the PIKFYVE and Ki67 proteins in each clinical sample. The t-test was used for intergroup comparison of continuous data. The χ2 test and Wilcoxon rank sum test were used for intergroup comparison of enumeration data. The Kaplan-Meier method was used for survival analysis. Results:The expression level of the PIKFYVE gene was higher in the HCC tumor than that in normal liver tissue ( P<0.01). The overall survival time of patients was significantly longer in the low expression group than that in the high expression group ( HR=1.57, 95% CI: 1.10～2.25, P=0.014). The results of univariate Cox regression analysis showed that tumor stage, pathological grade, tumor status, residual tumor, and PIKFYVE expression level all had an effect on OS ( P<0.05). The PIKFYVE prognostic risk model had a proportionate score of HR=1.533 (95% CI: 1.077～2.181, P=0.018). Multivariate Cox risk regression analysis showed that the PIKFYVE prognostic risk model had a proportionate score of HR=1.481 (95% CI: 0.886～2.476, P=0.134) and an area under the receiver operating characteristic curve of 0.559, indicating that it had predictive value for survival prediction. The results of the correlation analysis showed that the expression level of PIKFYVE was strongly correlated with immune cell infiltration and TP53 ( P<0.01). The results of immunohistochemical staining showed that the expression level of PIKFYVE was significantly higher in HCC tissue samples than that in non-tumor liver tissues ( P<0.01), and was negatively correlated with the degree of differentiation. Conclusion:PIKFYVE, as an independent risk factor, is expected to be developed into a biomarker for clinical diagnosis, offering a reference for novel therapeutic agents in HCC.

Objective:To experimentally validate clinical samples, analyze the mRNA expression of the FYVE domain containing phosphatidylinositol 3-phosphate 5 kinase ( PIKFYVE) gene, and its clinical significance based on the Cancer Genome Atlas (TCGA) database in hepatocellular carcinoma (HCC). Methods:Data information on 424 clinical samples (including 374 cases of HCC tissues and 50 cases of non-tumorous liver tissues) were collected based on the TCGA database. Cox regression analysis and the Kaplan-Meier method were used to analyze the relationship between mRNA expression of the PIKFYVE gene and the clinical characteristics as well as survival prognosis in patients with HCC. The relationship between the PIKFYVE gene and immune cell infiltration was examined by correlation analysis with 24 kinds of immune cells. In addition, the mRNA expression level of the PIKFYVE gene and RAC-alpha serine/threonine-protein kinase ( AKT1), phosphatase and tensin homolog ( PTEN), protein kinase C alpha ( PRKCA), inositol polyphosphate-5-phosphatase ( INPP5D), phosphoinositide-3-kinase regulatory subunit 1 ( PIK3R1), inositol polyphosphate 4-phosphatase type II ( INPP4B) and phospholipase C beta 4 ( PLCB4) gene correlations were analyzed in HCC tissues. At the same time, paraffin sections of highly differentiated, moderately differentiated, poorly differentiated, and non-tumor liver tissues from patients with HCC were collected from the Department of Pathology of the First Affiliated Hospital of Xinjiang Medical University. The histopathological observation was performed by HE staining. Immunohistochemistry was used to verify the expression levels of the PIKFYVE and Ki67 proteins in each clinical sample. The t-test was used for intergroup comparison of continuous data. The χ2 test and Wilcoxon rank sum test were used for intergroup comparison of enumeration data. The Kaplan-Meier method was used for survival analysis. Results:The expression level of the PIKFYVE gene was higher in the HCC tumor than that in normal liver tissue ( P<0.01). The overall survival time of patients was significantly longer in the low expression group than that in the high expression group ( HR=1.57, 95% CI: 1.10～2.25, P=0.014). The results of univariate Cox regression analysis showed that tumor stage, pathological grade, tumor status, residual tumor, and PIKFYVE expression level all had an effect on OS ( P<0.05). The PIKFYVE prognostic risk model had a proportionate score of HR=1.533 (95% CI: 1.077～2.181, P=0.018). Multivariate Cox risk regression analysis showed that the PIKFYVE prognostic risk model had a proportionate score of HR=1.481 (95% CI: 0.886～2.476, P=0.134) and an area under the receiver operating characteristic curve of 0.559, indicating that it had predictive value for survival prediction. The results of the correlation analysis showed that the expression level of PIKFYVE was strongly correlated with immune cell infiltration and TP53 ( P<0.01). The results of immunohistochemical staining showed that the expression level of PIKFYVE was significantly higher in HCC tissue samples than that in non-tumor liver tissues ( P<0.01), and was negatively correlated with the degree of differentiation. Conclusion:PIKFYVE, as an independent risk factor, is expected to be developed into a biomarker for clinical diagnosis, offering a reference for novel therapeutic agents in HCC.

Objective To construct the medical risk comprehensive assessment system based on big data,and to evaluate its consistency and efficiency.Methods Aiming at the current situation of risk assessment of inpatients,based on the means of big data,the medical natural language processing was used to design a medi-cal risk comprehensive assessment system.The system can automatically capture various data of patients,au-tomatically generate the scores by data mining and machine learning technology and send the risk data to med-ical staff,so as to realize the automation and intellectualization.The randomized controlled analysis was used to conduct the manual scoring and machine scoring for included the score scale.The visual risk matrix diagram was automatically generated by comparing the scoring.Results The Kappa values of the scoring system in the included study of the system were as follows:the Kappa value in Caprini scale(surgery)and Padua scale(internal medicine)was 1.00,NNIS Kappa value was 1.00,Nomogram Kappa value was 0.87,Kappa value in the Morse assessment scale/Hendrich model was 0.83,Braden Kappa value was 0.80,ASA 2023 Kappa was 1.00 and NRS 2002 Kappa value was 0.90.The taking time in the machine scoring all were shorter than those in the manual scoring,and the difference was statistically significant(P＜0.05).Conclusion The risk matrix graph constructed by this system could sharply increase the evaluation efficiency and accuracy,which not only provide the accuracy diagnosis and treatment regimen,but also shorten the hospitalization duration and reduce the medical costs.

ObjectiveTaking the oligosaccharides in Rehmanniae Radix（RR） as the research object， the content determination method based on high performance liquid chromatography-evaporative light scattering detection（HPLC-ELSD） and thin layer chromatography（TLC） identification method were established to explore the content and distribution of oligosaccharides in different RR herbs and decoction pieces. MethodA total of 10 batches of fresh and raw RR， 12 batches of RR decoction pieces and Rehmanniae Radix Praeparata（RRP） were collected. A TLC identification method for fructose， sucrose， manninotriose， raffinose and stachyose in RR was established by using silica gel G thin-layer plates with ethyl acetate-water-anhydrous formic acid-glacial acetic acid（12∶6∶5∶4） as the developing agent and 10% sulfuric acid-ethanol solution as chromogenic agent. A HPLC-ELSD was used to determine the contents of fructose， glucose， sucrose， melibiose， raffinose， manninotriose and stachyose in different RR herbs and decoction pieces. Then principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA） were used to analyze the contents of 7 kinds of saccharides in RR herbs and decoction pieces， and the differential components were screened with the value of variable importance in the projection（VIP）>1. ResultThe results of TLC identification showed that fresh RR， raw RR and its decoction pieces showed spots of the same color on the corresponding positions with the control products of stachyose， raffinose and sucrose， while the TLC of RRP showed spots of the same color at corresponding positions to manninotriose and fructose controls. The results of methodological investigations of 7 analytes met the requirements of determination. Only glucose， sucrose， raffinose and stachyose were detected in 10 batches of fresh RR and 10 batches of raw RR herbs， the average contents of which were 0.84%， 4.62%， 2.42% and 57.90% in fresh samples， while those were 3.16%， 9.36%， 7.05% and 38.10% in raw samples， respectively. In 12 batches of RR decoction pieces， the contents of the above seven sugars（fructose， glucose， sucrose， melibiose， raffinose， manninotriose and stachyose） were 1.68%， 4.27%， 9.96%， 0.53%， 6.85%， 3.05% and 37.52%， respectively. In 12 batches of RRP， the contents of the above seven sugars were 10.62%， 11.01%， 1.25%， 3.35%， 1.12%， 28.16% and 6.39%， respectively. The results of multivariate statistical analysis showed that fresh RR， raw RR and RRP could be distinguished from each other by the contents of the 7 sugars， and the main differential components were stachyose， sucrose， raffinose and manninotriose. ConclusionIn terms of oligosaccharides， the contents and types of saccharides in different herbs and decoction pieces of RR are quite different， and the TLC identification method based on this can be used to distinguish raw RR from RRP， which can lay a foundation for improving the quality standard of RR and developing and applying oligosaccharides in different processed products of RR.

Objective:To analyze the factors influencing patients′ medical experience, to provide reference for medical institutions to improve patients′ medical experience.Methods:A stratified sampling method was employed nationwide to select 32 patients and 20 medical staff. From May to August 2023, semi-structured interviews were conducted with them regarding the factors influencing patients′ medical experience. The data from the interviews were analyzed using programmed grounded theory, which led to the identification of factors affecting patients′ medical experience.Results:After three-level coding, four main categories of demographic characteristics, self health characteristics, medical outcome experience, and medical process experience, two core categories of patient related influencing factors and hospital related influencing factors were obtained. Additionally were also obtained.Conclusions:The factors influencing patients′ medical experience are multifaceted and jointly dominated by multiple stakeholders. Medical institutions should adopt a variety of measures to continuously improve patients′ medical experience. When assessing patients′ medical experience, the impact of individual differences among patients on the assessment results should be fully considered.

Objective:To analyze the factors influencing patients′ medical experience, to provide reference for medical institutions to improve patients′ medical experience.Methods:A stratified sampling method was employed nationwide to select 32 patients and 20 medical staff. From May to August 2023, semi-structured interviews were conducted with them regarding the factors influencing patients′ medical experience. The data from the interviews were analyzed using programmed grounded theory, which led to the identification of factors affecting patients′ medical experience.Results:After three-level coding, four main categories of demographic characteristics, self health characteristics, medical outcome experience, and medical process experience, two core categories of patient related influencing factors and hospital related influencing factors were obtained. Additionally were also obtained.Conclusions:The factors influencing patients′ medical experience are multifaceted and jointly dominated by multiple stakeholders. Medical institutions should adopt a variety of measures to continuously improve patients′ medical experience. When assessing patients′ medical experience, the impact of individual differences among patients on the assessment results should be fully considered.

Objective: To analyze physical fitness of students aged 6-22 years old from seven ethnic groups in Yunnan Province, and to provide reference for physical fitness intervention measures. Methods: The nationality, gender, grade, body shape, vital capacity, exercise quality of students were derived from the 2019 Yunnan Student Physical Health Survey Database. Comprehensive physical fitness score was calculated according to the National Student Physical Fitness Standards(revised in 2014). t test, ANOVA, and χ 2 test were used to analyze physical fitness score and level among students with different ethnic groups, gender, and school stages. Results: The average comprehensive score of physical fitness among students from 7 ethnic groups in Yunnan Province was (70.02±9.69）, with the pass rate being 88.91%. The proportion of excellent was 0.93%, good was 17.90%, pass 70.09 %, and failed was 11.09%. Physical fitness score was highest in BMI (94.99 points), followed by 50 meter running (74.13 points), sitting forward bend (72.63 points), endurance running (70.43 points), standing long jump (67.77 points), sit ups ( 65.71 points) , 1 minute skipping rope (65.25 points), vital capacity (62.97 points), pull up (29.04 points). Physical fitness score and pass rate and evaluation level varied significantly by ethnicity and school stage( F =293.53，452.85， χ 2/ χ 2 trend =466.65， 412.57 ； 1 553.22 ，1 045.36， P <0.01). Conclusion The excellent rate of physical fitness among students in Yunnan Province is relatively low. Physical fitness promotion requires specific guidance and training based on ethnicity and school stage.

Objective: To explore the associations of Hand-Foot-Mouth disease (HFM) among children of different age groups in kindergartens, and to provide scientific evidence for HFM prevention and control. Methods: Cluster sampling was used to select 9 912 children from 40 kindergartens. The major caregivers of children were invited to participate into the study and fulfill a self-administered questionnaire that consisted of general background, hand washing and the history of HFM among children in the recent 1 year. Chi-square and binary logistic regression were applied,to analyze the influencing factors of HFM among children of different age groups. Results: In the 2 year-old-group, children who were male (OR=1.76, 95%CI=1.24-2.50), had the major caregiver with high school educational background or below (OR=1.54, 95%CI=1.06-2.24), had family income more than 100 000 yuan or more per year(OR=1.49, 95%CI=1.01-2.20), children whose major caregiver seldom wash hands immediately after coming home(OR=2.10, 95%CI=1.05-4.19)，and 3-5 times per week(OR=2.07, 95%CI=1.26-3.41) were more likely to have HFM. In the 3 year-old-group, the more time children spent in the outdoors, the less likely they got HFM(3-5 times per week: OR=0.58, 95%CI=0.43-0.81; ≥6 times per week: OR=0.45, 95%CI=0.29-0.70). Children whose major caregiver did not use soap were more likely to have HFM(OR=1.67, 95%CI=1.11-2.49). In the 4 year-old-group, children who occasionally took toys when going out were less likely to get HFM (vs always, OR=0.57, 95%CI=0.38-0.88). No significant factors were found in the 5 year-old-group. Conclusion The behaviors and activities of major caregivers and children could influence the HFM incidence.To prevent HFM, it was advised that the major caregivers should wash hands immediately after coming home, and develop the habit of using soap for handwashing together with children at the earlier age, and encourage children to take more outside-door activities according to the age characteristics. Attention should be paid to avoid contaminating takeout snacks, and to clean the takeout toys timely.