Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0220723 (PCA)
 4,687 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Nephrotic syndrome (NS) is associated with several disorders of hemostasis: thrombocytosis and platelet hyperaggregability; increased plasma levels of factors V and VIII, and of fibrinogen with blood hyperviscosity; decreased plasma levels of natural anticoagulants: free protein S, and antithrombin III compensated by increased levels of alpha 2-macroglobulin; lowered fibrinolytic activity. Intensity of hypercoagulability is related to the degree of hypoalbuminemia; however, the role of hypercoagulability in the increased incidence of thromboembolic events, including renal vein thrombosis, is not proved. Clotting disorders are due to urinary losses of anticoagulants or to increased liver synthesis of procoagulants stimulated by hypoalbuminemia. Moreover, changes in clotting factors levels may be due to intravascular thrombin formation (marked by increased plasma levels of fibrinopeptide A). During active phases of glomerulonephritides (GN) with NS, thrombin formation might in fact arise in glomeruli, following activation of the glomerular hemostasis system. Isolated glomeruli from human crescentic GN, rabbit nephrotoxic GN and rat HgCl2 autoimmune GN produce excessive amounts of procoagulant (tissue factor) activity (PCA). Sequential studies of the self-limited HgCl2 GN showed that glomerular PCA, proteinuria and glomerular fibrin deposits peaked concomitantly at the acme of the disease, suggesting that immunologically mediated glomerular damage had triggered the extrinsic coagulation pathway.
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PMID:Coagulation factors in nephrotic syndrome. 225 77

A multivariate analysis of the National Cancer Institute gene expression database is reported here. The soft independent modelling of a class analogy approach achieved cell line classification according to histological origin. With the PCA method, based on the expression of 9605 genes and ESTs, classification of colon, leukaemia, renal, melanoma and CNS cells could be performed, but not of lung, breast and ovarian cells. Another multivariate procedure, called partial least squares discriminant analysis (PLS-DA), provides bioinformatic clues for the selection of a limited number of gene transcripts most effective in discriminating different tumoral histotypes. Among them it is possible to identify candidates in the development of new diagnostic tests for cancer detection and unknown genes deserving high priority in further studies. In particular, melan-A, acid phosphatase 5, dopachrome tautomerase, S100-beta and acid ceramidase were found to be among the most important genes for melanoma. The potential of the present bioinformatic approach is exemplified by its ability to identify differentiation and diagnostic markers already in use in clinical settings, such as protein S-100, a prognostic parameter in patients with metastatic melanoma and a screening marker for melanoma metastasis.
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PMID:A bioinformatic approach to the identification of candidate genes for the development of new cancer diagnostics. 1267 27