title: Complex networks analysis of obstructive nephropathy data.
abstract: Congenital obstructive nephropathy (ON) is one of the most frequent nephropathy observed among newborns and children, and the first cause of end-stage renal diseases treated by dialysis or transplantation. This pathology is characterized by the presence of an obstacle in the urinary tract, e.g., stenosis or abnormal implantation of the urethra in the kidney. In spite of important advances, pathological mechanisms are not yet fully understood. In this contribution, the topology of complex networks created upon vectors of features for control and ON subjects is related with the severity of the pathology. Nodes in these networks represent genetic and metabolic profiles, while connections between them indicate an abnormal relation between their expressions. Resulting topologies allow discriminating ON subjects and detecting which genetic or metabolic elements are responsible for the malfunction.
authors.affiliation: Center for Biomedical Technology, Technical University of Madrid, Campus Montegancedo 28223, Pozuelo de Alarcón, Madrid, Spain. massimiliano.zanin@ctb.upm.es
authors.forename: M
authors.initials: M
authors.lastname: Zanin
authors.forename: S
authors.initials: S
authors.lastname: Boccaletti
mesh_terms: D019992:Databases as Topic; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks / Q000235:genetics*; D006801:Humans; D007674:Kidney Diseases / Q000145:classification / Q000151:congenital / Q000235:genetics* / Q000378:metabolism*; D053858:Metabolic Networks and Pathways; D055442:Metabolome; D035683:MicroRNAs / Q000235:genetics / Q000378:metabolism; D010388:Pelvis / Q000473:pathology; D060388:Support Vector Machine
chemical_list: D035683:MicroRNAs