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.

  • 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.

  • 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)




    Myeloperoxidase level in patients with stable coronary artery disease and acute coronary syndromes.
  • Author:"Ndrepepa, G;Braun, S;Mehilli, J;von Beckerath, N;Schomig, A;Kastrati, A"

  • Published Year:2008

  • Journal:European journal of clinical investigation

  • Abstract:"BACKGROUND: No studies have measured plasma myeloperoxidase (MPO) across the entire spectrum of patients with coronary artery disease (CAD). The aim of the study was to compare MPO level across the entire spectrum of CAD, to assess the accuracy of MPO in predicting acute coronary syndromes and to define independent correlates of MPO level. DESIGN: This case-control study included 874 patients with angiographically proven CAD. Cases included 680 patients with CAD (382 patients with stable CAD, 107 patients with non-ST-segment elevation acute coronary syndromes and 191 patients with ST-segment elevation acute myocardial infarction). Controls included 194 subjects with normal coronary angiograms. MPO was measured using an enzyme immunoassay before angiography and heparin administration. RESULTS: MPO level [median (25th-75th percentiles)] was 74.5 (52.5-135.3) microg L(-1) in cases vs. 61.2 (44.6-80.9), microg L(-1) in controls (P < 0.001). MPO level was 61.2 (47.5-85.8), microg L(-1) in patients with stable CAD, 99.2 (62.2-154.9), microg L(-1) in patients with non-ST-segment elevation acute coronary syndromes and 129.5 (72.2-216.0) microg L(-1) in patients with acute myocardial infarction (P < 0.001). Elevated MPO level was associated with acute coronary syndromes with an area under receiver operating characteristic (ROC) curve of 0.731 (95% confidence interval 0.692-0.770; P < 0.001). Independent correlates of MPO level were acute coronary syndrome (P < 0.001), high-sensitivity C-reactive protein (P = 0.007), creatinine (P = 0.026), left ventricular ejection fraction (P = 0.027, negative association) and smoking (P = 0.028). CONCLUSIONS: MPO level is elevated in patients with CAD and higher levels of MPO were found with progression of CAD from stable CAD to non-ST-segment elevation acute coronary syndromes and to acute myocardial infarction."

  • 10.1111/j.1365-2362.2007.01908.x

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