With the appearance of direct-acting antivirals (DAAs), breakthroughs have been achieved in the antiviral therapy for hepatitis C and hepatitis C patients can be cured completely. Due to the insidious onset of hepatitis C, most patients do not know their own conditions, and thus expanding diagnosis and treatment through screening is the key to the elimination of hepatitis C. However, hepatitis C virus is distributed widely and unevenly in the world, which results in difficulties in the screening and diagnosis of hepatitis C. This article introduces the current economic research on hepatitis C screening, analyzes the factors affecting the cost-effectiveness of hepatitis C screening, and shares the strategies and advances for hepatitis C elimination in other countries, so as to provide a reference for eliminating hepatitis C in China.

Objective:To retrieve, evaluate and integrate the relevant evidence of prevention of lower limb ischemic complications in venous-arterial extracorporeal membrane oxygenation (VA-ECMO) patients, and provide reference for the development of scientific and complete prevention and management of lower limb ischemic complications.Methods:According to the evidence-based methodology, clinical decisions, guidelines, expert consensus, evidence summary, systematic review, randomized controlled trials and experimental studies related to lower limb ischemia complications in VA-ECMO patients were searched from CNKI, Wanfang, PubMed, Cochrane Library and other domestic and foreign databases as well as relevant professional websites. The literature search period was from the establishment of the database to August 2023. Two researchers independently evaluated the literature quality, and then extracted and summarized the evidence according to the theme.Results:A total of 27 004 articles were obtained in the preliminary search, and 11 articles were finally included after screening, including 1 guide, 2 expert consensus, 2 systematic reviews and 6 original studies. Through literature reading, evidence extraction and classification, and expert group meetings, a total of 24 best evidences were concluded in four dimensions, including team training and management, VA-ECMO pre-computer evaluation, VA-ECMO catheter selection, and the monitoring and management of lower limb ischemia.Conclusions:This study summarized the best evidence for the prevention of lower limb ischemia complications associated with VA-ECMO patients, and can provide reference for healthcare providers in clinical practice. In order to ensure the safety of VA-ECMO treatment and reduce the incidence of related complications, healthcare professionals should carefully select and apply evidence according to the clinical context and patients′ wishes.

Objective:To screen T-cell exhaustion-related signature genes as the prognostic marker for osteosarcoma and establish a prognostic model for osteosarcoma patients based on weighted gene co-expression network analysis(WGCNA)and Least absolute shrinkage and selection operator(LASSO)-COX regression analysis. Methods:GSE21257 dataset was downloaded from Gene Expression Omnibus(GEO)database for the establishment of the prognostic model for osteosarcoma.4 T-cell exhaustion-related gene sets were downloaded from The Molecular Signatures Database(MisgDB)and their enrichment scores in GSE21257 samples were calculated by single sample gene set enrichment analysis(ssGSEA).WGCNA was carried out to screen the gene module that is highly associated with T-cell exhaustion based on ssGSEA results followed by GO(Gene Ontology)and KEGG(Kyoto Encyclopedia of Genes and Genomes)analysis of the biological processes and signaling transduction pathways that those genes are involved in.The signature genes that are highly associated with the prognosis of osteosarcoma patients were obtained through LASSO-COX regression and a prognostic model was established based on these signature genes.Osteosarcoma-related expression profile data from the GSE21257 and TAEGET datasets on XENA were downloaded from the Gene Expression Omnibus.Clinical information for the training and validation sets was obtained.T-cell exhaustion-related genes were screened using a weighted correlation network analysis.Realtime fluorescence quantitative PCR,COX regression analysis,external dataset and nomogram were used to evaluate the reliability and accuracy of the prognostic model.A immunotherapy-related dataset was used to assess the efficacy of this prognostic model for the prediction of patients'responses to immunotherapy. Results:Analysis results based on the ssGSEA scores showed that T-cell exhaustion-related genes were related to the metastasis and age of osteosarcoma patients.Many T-cell exhaustion-related genes were found to be differentially expressed in metastatic and non-metastatic osteosarcoma patients.1 256 T-cell exhaustion-related genes were identified through WGCNA and these candidate markers were mainly distributed in structures like secretory granule membranes and endocytic vesicles and were involved in T-cell activation.COX regression analysis screened 68 significant prognostic markers out of the 1 256 genes,and 12 signature genes were further confirmed with LASSO-COX regression analysis.A prognostic model was established based on the 12 signature genes.Results of real-time fluorescence quantitative PCR showed a similar trend in the expression of most of the signature genes in different osteosarcoma cell lines.COX regression analysis of the internal and external datasets verified that the risk score calculated with the prognostic model was an independent prognostic factor for osteosarcoma patients,and high-risk score was associated with poor prognosis of the patients.Receiver operating characteristic(ROC)curves demonstrated excellent prognostic efficacy of the model.Nomogram analysis verified the prognostic model is highly accurate and reliable in predicting the prognosis of osteosarcoma patients.Analysis using the immunotherapy-related dataset indicated that this prognostic model could also be used to predict patients'responses to immunotherapy. Conclusion:The 12 signature gene(CD300LB,TRO,SNX3,VENTX,PPM1M,DOT1L,CDC37,NAT9,TRMT1,PPP1R3C,CHTF18 and NSUN5)-based prognostic model can effectively predict the prognosis and responses to immune check-point inhibitors for osteosarcoma patients,which may provide evidence for the prediction of prognosis as well as the selection of immunotherapy plans in clinical practice.

Hypertension has a high prevalence in China, and the predominant reliance on drug treatment consumes enormous medical resources.Physical exercise is the only widely-accepted nonpharmacologic therapy for hypertension and is potentially cost-effective.How to incorporate exercise into a prescription for rational treatment of hypertension is a topic that needs to be addressed.This review examines the research progress on the treatment of hypertension combining physical exercise with anti-hypertensive drugs in elderly people, aiming to provide some information and options to promote personalized treatment strategies for hypertension in elderly people.

The stem and branch extract of Tripterygium wilfordii (Celastraceae) afforded seven new dihydroagarofuran sesquiterpene polyesters [tripterysines A-G (1-7)] and eight known ones (8-15). The chemical structures of these new compounds were established based on combinational analysis of HR-ESI-MS and NMR techniques. The absolute configurations of tripterysines A-C (1-3) and E-G (5-7) were determined by X-ray crystallographic analysis and circular dichroism spectra. All the compounds were screened for their inhibitory effect on inflammation through determining their inhibitory effect on nitric oxide production in LPS-induced RAW 264.7 cells and the secretion of inflammatory cytokines TNF-α and IL-6 in LPS-induced BV2 macrophages. Compound 9 exhibited significant inhibitory activity on NO production with an IC₅₀ value of 8.77 μmol·L^-1. Moreover, compound 7 showed the strongest inhibitory effect with the secretion of IL-6 at 27.36%.
Tripterygium/chemistry* ; Esters/pharmacology* ; Interleukin-6 ; Lipopolysaccharides/pharmacology* ; Plant Leaves/chemistry* ; Anti-Inflammatory Agents/chemistry* ; Nitric Oxide/analysis* ; Sesquiterpenes/chemistry* ; Molecular Structure