Amyotrophic lateral sclerosis (ALS) is an irreversible, fatal neurodegenerative disorder whose incidence is positively correlated with the aging population. ALS is characterized by the progressive loss of motor neurons, leading to muscle weakness, atrophy, and ultimately respiratory failure. The pathogenesis of ALS involves multiple factors, including genetic and environmental influences, with genetic factors playing a particularly significant role. To date, several causative genes have been identified in ALS, such as the Cu/Zn superoxide dismutase 1 (Cu/Zn SOD1, also known as SOD1) gene, transactive response DNA-binding protein 43 (TDP-43) gene, fused in sarcoma (FUS) gene, and chromosome open reading frame 72 (C9orf72). Mutations in these genes have been found not only in familial ALS but also in sporadic ALS. Based on the identified ALS risk genes, various ALS animal models have been established through multiple approaches, including transgenic models, gene knockout/knock-in models, and adeno-associated virus-mediated overexpression models. These models simulate some typical pathological features of human ALS, such as motor neuron loss, ubiquitinated inclusions, and neuromuscular junction degeneration. However, these models still have limitations: (1) single-gene mutation models are insufficient to fully replicate the complex multi-factorial pathogenesis of sporadic ALS; (2) significant differences in microenvironmental regulation mechanisms and the rate of neurodegeneration between model organisms and humans may affect the accurate reproduction of disease phenotypes and the reliable evaluation of drug efficacy. To better understand the pathogenesis of ALS and promote the development of effective therapies, constructing and optimizing ALS animal models is crucial. This review aims to summarize commonly used ALS gene mutation mouse models, analyze their phenotypes and pathological characteristics, including transgenic mouse models, gene knockout/knock-in mouse models, and adeno-associated virus-mediated overexpression mouse models, and further discuss their specific applications in ALS pathogenesis research and drug development by comparing the advantages and limitations of each model.

Amyotrophic lateral sclerosis (ALS) is an irreversible, fatal neurodegenerative disorder whose incidence is positively correlated with the aging population. ALS is characterized by the progressive loss of motor neurons, leading to muscle weakness, atrophy, and ultimately respiratory failure. The pathogenesis of ALS involves multiple factors, including genetic and environmental influences, with genetic factors playing a particularly significant role. To date, several causative genes have been identified in ALS, such as the Cu/Zn superoxide dismutase 1 (Cu/Zn SOD1, also known as SOD1) gene, transactive response DNA-binding protein 43 (TDP-43) gene, fused in sarcoma (FUS) gene, and chromosome open reading frame 72 (C9orf72). Mutations in these genes have been found not only in familial ALS but also in sporadic ALS. Based on the identified ALS risk genes, various ALS animal models have been established through multiple approaches, including transgenic models, gene knockout/knock-in models, and adeno-associated virus-mediated overexpression models. These models simulate some typical pathological features of human ALS, such as motor neuron loss, ubiquitinated inclusions, and neuromuscular junction degeneration. However, these models still have limitations: (1) single-gene mutation models are insufficient to fully replicate the complex multi-factorial pathogenesis of sporadic ALS; (2) significant differences in microenvironmental regulation mechanisms and the rate of neurodegeneration between model organisms and humans may affect the accurate reproduction of disease phenotypes and the reliable evaluation of drug efficacy. To better understand the pathogenesis of ALS and promote the development of effective therapies, constructing and optimizing ALS animal models is crucial. This review aims to summarize commonly used ALS gene mutation mouse models, analyze their phenotypes and pathological characteristics, including transgenic mouse models, gene knockout/knock-in mouse models, and adeno-associated virus-mediated overexpression mouse models, and further discuss their specific applications in ALS pathogenesis research and drug development by comparing the advantages and limitations of each model.

ObjectiveTo investigate the performance of fibrosis-4 （FIB-4） versus aspartate aminotransferase-to-platelet ratio index （APRI） in predicting advanced liver fibrosis and disease progression in patients with chronic HBV infection. MethodsA total of 497 patients with chronic HBV infection who underwent liver biopsy in The First Affiliated Hospital of Guangxi Medical University from February 2013 to December 2022 were enrolled， among whom 404 were enrolled in a retrospective study and 75 were enrolled in a prospective study. Related indicators were collected， including demographic features （sex and age）， biochemical indices （alanine aminotransferase ［ALT］ and aspartate aminotransferase ［AST］）， and platelet count， and FIB-4 and APRI were calculated. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups， and the Kruskal-Wallis H test was used for comparison between multiple groups； the chi-square test was used for comparison of categorical data between groups. The area under the ROC curve （AUC） was used to assess the ability of APRI and FIB-4 in evaluating liver fibrosis degree and disease progression in patients with chronic HBV infection. ResultsIn the retrospective analysis， compared with the FIB-4<2.67 group， the FIB-4≥2.67 group had a significantly higher proportion of the patients who were diagnosed with liver cirrhosis or hepatocellular carcinoma （66.19% vs 47.54%， χ²=12.75， P<0.001）. The medians of FIB-4 and APRI increased significantly with liver fibrosis degree from F0 to F4 （H=42.5 and 35.9， both P<0.001）. As for the fibrosis stage of F0-F4， the median of FIB-4 was significantly higher than that of APRI in the patients with the same fibrosis stage （H=59.71， P<0.001）. FIB-4 and APRI had a similar AUC for predicting stage F3 fibrosis （0.67 vs 0.65， Z=0.71， P=0.480）， while FIB-4 had a higher AUC for predicting stage F4 fibrosis than APRI （0.72 vs 0.64， Z=10.50， P<0.001）. In the prospective study cohort， FIB-4 and APRI showed an increasing trend over time in predicting disease progression （chronic hepatitis B to liver cirrhosis）， with an AUC of 0.718 （95% confidence interval ［CI］： 0.476‍ ‍—‍ ‍0.760） and 0.555 （95%CI： 0.408‍ ‍—‍ ‍0.703）， respectively， and FIB-4 had a significantly higher accuracy than APRI in predicting disease progression （χ²=12.44， P<0.001）. ConclusionFIB-4 and APRI can be used to evaluate advanced liver fibrosis （F3 and F4） and predict disease progression， and FIB-4 is superior to APRI in certain aspects.

Diseases of ocular fundus are the leading causes of severe vision impairment or even blindness in patients worldwide, and the medical treatments are seriously limited by the difficulty of therapeutic drugs entering the fundus due to the various physiological barriers. Nano-drug delivery systems, with their nanoscale size and large surface area, can be loaded with therapeutic drugs of different physicochemical properties and modified with various surface active substances, which can not only improve the solubility and penetration of the drugs, but also protect biologic drugs from degradation and improve the biological safety and bioavailability, as well as deliver therapeutic drugs to specific ocular targets. All of these make the therapeutic potential enormous. Currently, more and more studies have been carried out to take advantage of nanomaterials for the treatment of different fundus diseases, including neurodegenerative diseases, fundus neovascularization, endophthalmitis and fundus tumors. This review analyzes the challenges and barriers faced by different routes of drug administration in the treatment of fundus diseases, the physicochemical properties of common nano-drug delivery systems that have been studied in related fields, and further summarizes the progress, advantages, limitations, and future directions of the application of various nano-drug delivery systems for the treatment of ocular fundus diseases in recent years.

Objective To explore the correlation between epicardial fat volume(EFV),epicardial fat volume indexed(EFVi)and coronary artery lumen stenosis in young adults.Methods The data of 80 young patients who underwent both coronary computed tomography angiography(CCTA)and coronary angiography(CAG)within 2 weeks were analyzed retrospectively.The correlation between EFV,EFVi and coronary artery lumen stenosis in young adults was evaluated.Results A total of 80 patients were enrolled,taking CAG exomination results as the gold standard,58 cases were enrolled into the lesion group and the other 22 cases were enrolled into the control group.The incidence of coronary artery lumen stenosis was higher in young males than that in young females(t=4.309,P=0.038).EFV and EFVi in the lesion group were higher than those in the control group(t=3.023,P=0.001;t=2.785,P=0.001).The EFV in males was higher than that in females(t=2.558,P=0.012).There was no significant difference in EFVi between male and female groups.The differences between EFV and EFVi of males in lesion group and control group were statistically significant(t=4.083,P<0.01;t=4.429,P<0.01).The differences between EFV and EFVi of females in lesion group and control group showed no sta-tistical significance.EFV and EFVi were moderately positively correlated with coronary artery lumen stenosis(rs=0.437,P<0.01;rs=0.463,P<0.01).Receiver operating characteristic(ROC)curve analysis of EFV and EFVi showed that the area under the curve(AUC)of EFV was 0.784,the cut-off value was 107.24 cm3,the sensitivity was 0.776,and the specificity was 0.682.The AUC,cut-off value,sensitivity and specificity of EFVi was 0.793,53.68 cm3/m2,0.81,0.682,respectively.Conclusion EFV and EFVi are moderately positively correlated with coronary artery lumen stenosis in young adults,which is helpful to the diagnosis of coronary heart disease.However,the differences between EFV and EFVi of young females in lesion group and control group show no statistical significance.

OBJECTIVE To study the effects of bergapten in the treatment of liver fibrosis and its mechanism based on serum metabolomics. METHODS Forty mice were divided into normal control group （0.5% carboxymethyl cellulose sodium solution）， model group （0.5% carboxymethyl cellulose sodium solution）， and BP low-dose and high-dose groups （50， 100 mg/kg）， with 10 mice in each group. Except for the normal control group， the other three groups were all treated with carbon tetrachloride to induce liver fibrosis model； they were given relevant medicine/solution intragastrically， once a day， for consecutive 8 weeks. After the last medication， the levels of alanine aminotransferase （ALT） and aspartate aminotransferase （AST） in serum were detected， and liver pathological changes were observed； the expressions of α-smooth muscle actin （α-SMA） and Collagen Ⅰ were detected in liver tissue； the serum of the mice was collected for metabolomics analysis. RESULTS Compared with the model group， serum levels of ALT and AST and protein expressions of α-SMA and Collagen Ⅰ in liver tissue were decreased significantly in BP high-dose and low-dose groups （P＜0.05）， while liver fibrosis was improved significantly. Meanwhile， metabolomics analyses showed that there were a total of 175 serum differential metabolites in the BP high-dose group and model group， of which 18 substances were upregulated and 157 substances were downregulated； the main metabolic pathways involved in bergapten intervention were pyrimidine metabolism， butanoate metabolism， fatty acid synthesis， tyrosine metabolism， β-alanine metabolism， nicotinic acid and nicotinamide metabolism， glutathione metabolism， etc. CONCLUSIONS BP is effective in the treatment of liver fibrosis by regulating pyrimidine metabolism， butanoate metabolism， glutathione metabolism and so on in rats with liver fibrosis.

Objective To investigate the effect of Fuzhengquxie prescription on the proliferation,apoptosis,invasion,and migration of ovarian cancer cells and its associated mechanism.Methods After Fuzhengquxie prescription was applied to human ovarian cancer SKOV3 cells,the effects on cell proliferation,apoptosis,invasion,and migration were detected by 3-(4,5-dimethylthiazol-2-yl)-2,5 diphenyl tetrazolium bromide,cell cloning,cell scratch,and Transwell assay experiments.Quantitative reverse transcription-polymerase chain reaction(qRT-PCR)and Western blotting were used to determine the expression levels of the negative epigenetic regulatory protein,EZH2;its related protein,E-cadherin;and the apoptosis-related proteins,Bax and Bcl-2.Results Fuzhengquxie prescription inhibited the growth rate of SKOV3 cells in a concentration-and time-dependent manner,and significantly inhibited the proliferation,invasion,and migration of SKOV3 cells.Western blotting and qRT-PCR results showed that Fuzhengquxie prescription combined with GSK126 inhibited the transcription of EZH2and Bcl-2,promoted the transcription of Baxand E-cadherin,down-regulated the expression of EZH2 and Bcl-2 proteins,and promoted the expression of Bax and E-cadherin proteins.Conclusion Fuzhengquxie prescription inhibited the proliferation,invasion,and migration of SKOV3 cells and induced their apoptosis.It may be involved in regulating the E-cadherin-mediated proliferation,invasion,and migration of ovarian cancer cells by inhibiting the epigenetic regulatory protein EZH2,and regulating the apop-tosis of ovarian cancer cells mediated by Bcl-2 and Bax.

Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.

Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.

Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.