Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:4.1.1.6 (CAD)
 4,420 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The agreement between the results of standard ECG (CX) and cardiopulmonary (CPX) exercise stress tests performed in randomized sequence was evaluated in 40 patients with known coronary artery disease but who were not taking cardioactive therapy. Systolic blood pressure and heart rate were significantly higher during CPX only at low workload (less than 100 W). Exercise time and rate-pressure product at both peak exercise and ischaemic threshold were not significantly different between the two tests, even though their variability exceeded the value of 20%, which is generally accepted as the cut-off point for defining CX parameters as reproducible. However, the metabolic response to exercise, assessed by means of blood lactate kinetics analysis, was highly reproducible between the two tests. We conclude that the provocative role of exercise testing is not altered by the gas exchange analysis technique used in CAD patients. However, the common indexes of myocardial as well as of global physical performance may be influenced, thus requiring caution in comparing data with those derived from CX or from reference values.
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PMID:Determination of agreement between cardiopulmonary and standard ECG stress testing in coronary artery disease. 822 35

Subnetwork analysis can explore complex patterns of entire molecular pathways for the purpose of drug target identification. In this article, the gene expression profiles of a cohort of patients with breast cancer are integrated with protein-protein interaction (PPI) networks using, simultaneously, both edge scoring and node scoring. A novel optimization algorithm, integrated optimization method to identify deregulated subnetwork (IODNE), is developed to search for the optimal dysregulated subnetwork of the merged gene and protein network. IODNE is applied to select subnetworks for Luminal-A breast cancer from The Cancer Genome Atlas (TCGA) data. A large fraction of cancer-related genes and the well-known clinical targets, ER1/PR and HER2, are found by IODNE. This validates the utility of IODNE. When applying IODNE to the triple-negative breast cancer (TNBC) subtype data, we identified subnetworks that contain genes such as ERBB2, HRAS, PGR, CAD, POLE, and SLC2A1.
CPT Pharmacometrics Syst Pharmacol 2017 03
PMID:IODNE: An integrated optimization method for identifying the deregulated subnetwork for precision medicine in cancer. 2826 49