OBJECTIVE:To investigate the situation of pharmacoeconomic researches about lipid-lowering drugs in China, and to seek the regimen with good cost-effectiveness in order to provide reference for rational drug use in the clinic. METHODS:Retrieved from CNKI and Wanfang database,pharmacoeconomic literatures about lipid-lowering drugs,published in domestic jour-nals during 2011-2015,were included to discuss the problems of pharmacoeconomic researches about lipid-lowering drugs and put forward related suggestions. RESULTS:Rosuvastatin and other medicines showed good cost-effectiveness,while there were many problems of domestic published pharmacoeconomic researches about lipid-lowering drugs,such as different research methods,dif-ferent treatment courses,different methods of cost calculation,single effect index and absence of ADR. On the whole,the research-es were low in quality,which led the difficulty of accurately obtaining the drugs with best cost-effectiveness. CONCLUSIONS:In the future,related researches should confirm research duration and health output index,effect index and evaluation method accord-ing to disease types and research objectives;enhance the unity of research and design methods;pay attention to cost discount;in addition,strengthen pharmacoeconomic researches about lipid-lowering TCM and compare it with chemical drugs.

The composition of serum is extremely complex,which complicates the discovery of new pharmaco-dynamic biomarkers via serum proteome for disease prediction and diagnosis.Recently,nanoparticles have been reported to efficiently reduce the proportion of high-abundance proteins and enrich low-abundance proteins in serum.Here,we synthesized a silica-coated iron oxide nanoparticle and devel-oped a highly efficient and reproducible protein corona(PC)-based proteomic analysis strategy to improve the range of serum proteomic analysis.We identified 1,070 proteins with a median coefficient of variation of 12.56％using PC-based proteomic analysis,which was twice the number of proteins iden-tified by direct digestion.There were also more biological processes enriched with these proteins.We applied this strategy to identify more pharmacodynamic biomarkers on collagen-induced arthritis(CIA)rat model treated with methotrexate(MTX).The bioinformatic results indicated that 485 differentially expressed proteins(DEPs)were found in CIA rats,of which 323 DEPs recovered to near normal levels after treatment with MTX.This strategy can not only help enhance our understanding of the mechanisms of disease and drug action through serum proteomics studies,but also provide more pharmacodynamic biomarkers for disease prediction,diagnosis,and treatment.