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)




    Prevalence and prognostic impact of comorbidities in patients with severe aortic valve stenosis.
  • Author:"Bruch, Christian;Kauling, Daniela;Reinecke, Holger;Rothenburger, Markus;Scheld, Hans Heinrich;Breithardt, Gunter;Wichter, Thomas"

  • Published Year:2007

  • Journal:Clinical research in cardiology : official journal of the German Cardiac Society

  • Abstract:"In patients with severe aortic valve stenosis (valve area <or= 1 cm(2), AS), the prevalence and the prognostic impact of comorbidities is unknown. Fifty-eight patients with severe AS (mean aortic valve area 0.8 +/- 0.2 cm(2)), who underwent cardiac catheterization and 2-D/Doppler echocardiography, were prospectively enrolled. The glomerular filtration rate (eGFR) was estimated using the abbreviated Modification of Diet in Renal Disease Study equation. Death from a cardiac cause was defined as study end point. Coronary artery disease was present in 33 patients (57%). Subsequently, 43 patients (77%) underwent aortic valve replacement. During a follow-up of 485 +/- 336 days, 11 patients suffered a cardiac death. Survivors and non-survivors did not differ with respect the prevalence of coronary artery disease, invasive hemodynamic measurements or echocardiographic variables of systolic/diastolic function. Non-survivors were in a poorer NYHA functional class (3.2 +/- 0.3 vs 2.4+/-0.8, p = 0.002), had a lower eGFR (33.4 +/- 15.5 ml/min/1.73 m(2) vs 49.1 +/- 15.6 ml/min/1.73m(2), p = 0.004), a higher prevalence of diabetes mellitus (73% vs. 22%, p = 0.0001) and a lower serum hemoglobin level (11.6 +/- 2.1 vs 13.0 +/- 1.5 g/dL, p = 0.017). By multivariate Cox analysis, NYHA class (hazard ratio: 6.17, p = 0.013) and eGFR (hazard ratio 0.95, p = 0.04) were independent prognostic predictors. In patients with eGFR < 41.8 ml/min/1.73 m(2) (cut-off value derived from ROC analysis, area under the curve: 0.78 +/- 0.08), outcome was markedly poorer as compared to patients with eGFR > 41.8 ml/min/1.73 m(2) (event-free survival rate of 38% vs 93%, p = 0.004). Thus, in patients with severe AS, comorbidities are frequent, and particularly kidney disease significantly impacts longterm outcome."

  • 10.1007/s00392-006-0452-1

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