Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.

Objective To construct a prognostic model of centrosome amplification-related genes(CARGs)by machine learning and evaluate its prediction performance for the prognosis of esophageal squamous cell carcinoma(ESCC).Methods CARGs were obtained from Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)datasets.The RNA-sequencing(RNA-seq)transcriptome datasets of ESCC were retrieved from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO),and assigned into training and validation sets,respectively.Subsequently,single-sample gene set enrichment analysis(ssGSEA)and weighted gene co-expression network analysis(WGCNA)were employed to screen CARGs.A prognostic model of CARGs was constructed by incorporating 12 machine learning algorithms,and univariate and multivariate Cox regression analyses were applied to evaluate whether the 12 models as an independent prognostic factor or not.Eventually,15 paired ESCC and adjacent non-tumor tissue samples were collected from the Department of Gastroenterology of the Second Affiliated Hospital of Army Medical University,and real-time quantitative PCR(RT-qPCR)and immunohistochemistry staining were performed to detect the expression of these genes ESCC samples.Results Our 9-CARGs prediction model for ESCC prognosis was constructed.RT-qPCR confirmed that the mRNA expression levels of DENR,TRIP13,BRCA2,TTF2,TCFL5 and NUP188 were significantly higher in ESCC tissues than normal tissues(P<0.05),and the protein levels of DENR,TRIP13,TTF2 and TCFL5 were also elevated when compared to normal tissues.Conclusion DENR,TRIP13,TTF2 and TCFL5 are highly expressed and closely associated with poor prognosis of ESCC,suggesting their potential roles in the pathogenesis and progression of this malignancy.

OBJECTIVE To investigate the implementation effects of the national centralized drug volume-based procurement policy （abbreviated as “national centralized procurement policy”） in Guangxi Zhuang Autonomous Region prefecture， and to provide a reference for the future centralized drug procurement work of the medical institution. METHODS Drug procurement data before and after policy implementation were included in the study. The six secondary indicators （such as availability， affordability， and drug safety） and eighteen third-level indicators （such as completion rate of agreed purchase volume， affordability level， drug revenue proportion） were introduced， guided by the policy objectives and issues of concern to policy beneficiaries. Descriptive statistics was adopted to analyze the data before and after policy implementation （in 2019 and 2020） in terms of differences and change trends. RESULTS In terms of accessibility， the participation rate of medical institutions in Guangxi Zhuang Autonomous Region was 92.55%， the proportion of diseases involved and median completed procurement rate were 40.16%， and 287.82% respectively， and the total centralized delivery rate was 97.20%. In terms of affordability， the total reduction amplitude in drug price was 74.80% from 2019 to 2022； the charge for medicine per capita in hospitalization， the proportion of medicine used for outpatient service and hospitalization， decreased by 17.61%， 10.22%， and 20.10% in order； the burden levels on medical fares for patients were all below 1 in addition to chronic diseases， and anti-tumor drugs. In terms of the impact on medicine， the ratio of adverse drug reaction event cases in 2022 was 66.00%， an increase of 1.29% compared to the previous； since the implementation of the policy， 12 drugs from local pharmaceutical enterprises from Guangxi Zhuang Autonomous Region had passed the consistency evaluation， and the market concentration rate of the top 8 pharmaceutical companies was less than 20.00%. In terms of the impact on healthcare and medical insurance， the public medical institutions achieved generic substitution for originator drugs mostly until 2022； about 9.12% of drugs that were non- centrally purchased in the same category were used； 63.39% of people under investigation did not show a need for a second dressing change； drug expenditure decreased by 2.459 billion yuan. CONCLUSIONS The national centralized procurement policy achieves a significant effect in Guangxi Zhuang Autonomous Region. On the other hand， attention should be paid to these suggestions as follows: expanding the category of drugs used in clinic， conducting clinically comprehensive evaluation of selected drugs， and improving reasonable allocation strategy， etc.

Thyroid carcinoma is closely related to environmental factors. Gene mutations and molecular biological changes of gland tissue caused by environmental changes are important factors inducing thyroid carcinoma. Although the molecular mechanism of thyroid carcinoma has not been fully elucidated,increasingly specific genetic changes and molecular markers for thyroid carcinoma have been discovered with the development of molecular biology techniques. This article reviews the recent progresses on the etiology,specific molecular markers,diagnosis and targeted therapies of thyroid carcinoma,so as to provide theoretical support for the clinical diagnosis and treatment of thyroid carcinoma.

OBJECTIVE To identify the key genes associated with lymph node metastasis in head and neck squamous carcinoma(HNSCC)and construct a prognostic model based on The Cancer Genome Atlas(TCGA)database.METHODS Differentially expressed genes(DEGs)between tumor tissues and normal tissues in the HNSCC dataset in the TCGA database were screened by R software,and gene modules related to lymph node metastasis were screened by weighted gene co-expression network(weighted gene co-expression network analysis,WGCNA).Prognostic risk models were constructed by univariate cox regression and Lasso regression analyses.Survival analyses and ROC curves were performed to verify the Reliability of prognostic models.CIBERSORT,TIMER and ESTIMATE algorithms analysed the differences in the tumor micro environment(TME)of different risk groups.RESULTS There were 2 565 DEGs screened,and a set of gene modules highly correlated with disease prognosis and lymph node metastasis were obtained by WGCNA analysis,and correlation analysis verified that the expression of genes in this gene module was highly correlated with lymph node metastasis.Univariate cox regression and Lasso regression were used to identify 6 key prognostic genes:CDKN2A,CCNE2,KNSTRN,AURKA,KPNA2,and ORC1.A prognostic model was constructed based on the 6 genes,and survival analysis showed that the prognosis of the high-risk group was significantly worse than that of the low-risk group(P<0.0001).The ROC curves demonstrated the good predictive performance of this prognostic model.CIBERSORT analyses revealed differences in the immune microenvironment of tumors in different risk groups.CONCLUSION The 6 key prognostic genes screened were helpful in predicting the prognosis of HNSCC patients and were closely associated with the immune microenvironment of HNSCC,suggesting that they may serve as potential therapeutic targets.

Objective This study aimed to investigate the glycosyltransferase gene DsUGT11 involved in the biosynthesis of flavonoids in Desmodium styracifolia,and to analyze the function of its encoding protein by bioinformatic tools,gene cloning,prokaryotic expression,and other technologies.Methods The sequence characteristics and potential biological functions of DsUGT11 were analyzed and predicted by bioinformatics analysis,respectively.Total RNA was extracted from fresh leaves and reverse transcribed into cDNA,from which DsUGT11 gene was successfully amplified and cloned.Heterologous expressed protein was induced and purified,followed by functional characterization using enzymatic reaction in vitro.Results A candidate glycosyltransferase gene,designated as DsUGT11,was identified from the transcriptome data of D.styracifolia.The length of the open reading frame of DsUGT11 is 1426 bp,and the molecular weight of its encoding protein is expected to be 52.14 KDa.By bioinformatic analysis,DsUGT11 was found to harvest a conserved motif of"PSPG"that is unique to the UGT family.Moreover,DsUGT11 was successfully amplified and cloned using the prokaryotic expression vector pMALc5X.Recombinant protein was induced and purified subsequently.Next,the purified protein was used to perform the enzymatic reaction in vitro,the result of which suggested that DsUGT11 was able to catalyze the conversion of 2-OH-naringenin and UDP-glucose into three different compounds,one of which was authenticated as apigenin-7-O-β-D-glucoside(also known as Apigetrin),with two others unknown.Conclusion In this study,the DsUGT11 gene was identified and cloned,whose encoding protein is a flavone-oxyglycosyltransferase catalyzing the conversion of 2-OH-naringenin and UDP-glucose into three different compounds including Apigetrin.