1.Literature Analysis of Pharmacoeconomic Researches about Lipid-lowering Drugs in China in Recent 5 Years
Yanchun WANG ; Qiaoli LYU ; Jianxun SUN ; Ruonan XU
China Pharmacy 2016;27(26):3609-3612,3613
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.
2.Research progress on intratumoral microbiota and cancer immunotherapy
Xu XIAOFAN ; Chen ZHANGREN ; Hu WENLEI ; Wu XUETING ; Zhou RENCHAO ; Wang FEIYU ; Lyu QIAOLI
Chinese Journal of Clinical Oncology 2024;51(12):622-627
As research delves deeper into the mechanisms of tumor immune responses,studies reveal the importance of microbial com-munities within the tumor microenvironment in tumor progression and their interactions with the host immune system.Intratumoral micro-biota could influence the tumor microenvironment,thereby promoting or inhibiting tumor growth and development.Despite this import-ance,the specific role of intratumoral microbiota impacting cancer immunotherapeutic efficacy remains largely unexplored.A deeper under-standing of the characteristics and biological functions of tumor-specific microbiota heralds a potential revolutionary innovation in cancer treatment.In this review,we introduce the discovery and sources of intratumoral microbiota,also addressing its composition,and discuss tumor tissue characteristics.Moreover,we briefly review the history of cancer immunotherapy development with a particular focus on the research progress concerning the impact of intratumoral microbiota on cancer immunotherapy.Furthermore,we explore emerging strategies that combine targeting intratumoral microbiota with immunotherapy to enhance immune efficacy,inhibit tumor progression,and improve cure rates,anticipating that this approach could represent a new direction for enhancing treatment outcomes and prospects.
3.A highly efficient protein corona-based proteomic analysis strategy for the discovery of pharmacodynamic biomarkers
Yuqing MENG ; Jiayun CHEN ; Yanqing LIU ; Yongping ZHU ; Yin-Kwan WONG ; Haining LYU ; Qiaoli SHI ; Fei XIA ; Liwei GU ; Xinwei ZHANG ; Peng GAO ; Huan TANG ; Qiuyan GUO ; Chong QIU ; Chengchao XU ; Xiao HE ; Junzhe ZHANG ; Jigang WANG
Journal of Pharmaceutical Analysis 2022;12(6):879-888
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.