How to Build CHD@ZJU

CHD related Articles were retrieved from Pubmed, by entering keywords "coronary heart disease" and constrict the publish date from 2000/1/1 to now (2013/1/23). As a result, totally 115898 articles were found and their abstracts were downloaded for text mining. Since some articles didn't contain abstracts, only 88396 abstracts remained.
The text-mining process to get CHD related genes could be divided in to 5 following steps:

  • 1) Extracting all keywords from abstracts and ignoring those keywords start with numbers. 101402 keywords were extracted.

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  • 2) Input these keywords into Gene library in ArrayTrack and find possible related genes. 4674 genes were then found.

  • 3) Put these 4674 genes again into pubmed abstracts to find related aticles. Only genes which offical name or there keyword description (such as prolactin for gene PRL) could be found in the abstract would be remained. As a result, 1247 genes were remained.

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  • 4) Manually examined on the 1247 genes to validate it was acutally related to CHD. Some genes would be filtered if it represents other meanings (such as gene CAD, Entrez ID:790, carbamoyl-phosphate synthetase 2, is mostly meant coronary arterial disease in articles). 681 genes were then validated with at least one reference.

  • 5) All genes was compared with 1078 CHD genes in RGD database, and 370 genes were overlapped. These 370 genes were labels as "RGD_Supported" and the other 293 genes were labels as "REFERED". All 663 genes had supported references in CHD@ZJU which were examined by step 4.

    • How To contact Us

    Collaboration Information: Prof. Xiaohui Fan (fanxh@zju.edu.cn)

    Website using assistance : Leihong Wu (11019004@zju.edu.cn)




    Effects of cholesteryl ester transfer protein inhibitors on human lipoprotein metabolism: why have they failed in lowering coronary heart disease risk?
  • Author:"Schaefer, Ernst J"

  • Published Year:2013

  • Journal:Current opinion in lipidology

  • Abstract:"PURPOSE OF REVIEW: To examine the recent advances in our knowledge of cholesteryl ester transfer protein (CETP) inhibitors, heart disease risk reduction, and human lipoprotein metabolism. RECENT FINDINGS: CETP inhibitors block the transfer of cholesteryl ester from HDLs to triglyceride-rich lipoproteins (TRLs), thereby raising HDL cholesterol and lowering TRL cholesterol, and in some cases LDL cholesterol. Two CETP inhibitors, dalcetrapib and torcetrapib, have been tested in large clinical trials in statin-treated coronary heart disease patients and have shown no clinical benefit compared to placebo. Anacetrapib and evacetrapib, two potent CETP inhibitors, are now being tested in large clinical trials. Torcetrapib has been shown to decrease the fractional catabolic rate (FCR) of HDL apolipoproteins (apo) A-I and A-II, enhance the FCR of TRL apoB-100 and apoE, and decrease TRL apoB-48 production, but has no significant effects on fecal cholesterol excretion in humans. Anacetrapib also delays the FCR of HDL apoA-I. SUMMARY: CETP inhibitors form a complex between themselves, CETP, and HDL particles, which may interfere with the many physiologic functions of HDL, including reverse cholesterol transport. Available data would suggest that CETP inhibitors will fail as lipid-altering medications to reduce coronary heart disease risk because of interference with normal human HDL metabolism."

  • 10.1097/MOL.0b013e3283612454

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