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10.1038/srep44941

http://scihub22266oqcxt.onion/10.1038/srep44941
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C5361179!5361179!28327551
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suck abstract from ncbi


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pmid28327551      Sci+Rep 2017 ; 7 (ä): ä
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  • Genomic reprograming analysis of the Mesothelial to Mesenchymal Transition identifies biomarkers in peritoneal dialysis patients #MMPMID28327551
  • Ruiz-Carpio V; Sandoval P; Aguilera A; Albar-Vizcaíno P; Perez-Lozano ML; González-Mateo GT; Acuña-Ruiz A; García-Cantalejo J; Botías P; Bajo MA; Selgas R; Sánchez-Tomero JA; Passlick-Deetjen J; Piecha D; Büchel J; Steppan S; López-Cabrera M
  • Sci Rep 2017[]; 7 (ä): ä PMID28327551show ga
  • Peritoneal dialysis (PD) is an effective renal replacement therapy, but a significant proportion of patients suffer PD-related complications, which limit the treatment duration. Mesothelial-to-mesenchymal transition (MMT) contributes to the PD-related peritoneal dysfunction. We analyzed the genetic reprograming of MMT to identify new biomarkers that may be tested in PD-patients. Microarray analysis revealed a partial overlapping between MMT induced in vitro and ex vivo in effluent-derived mesothelial cells, and that MMT is mainly a repression process being higher the number of genes that are down-regulated than those that are induced. Cellular morphology and number of altered genes showed that MMT ex vivo could be subdivided into two stages: early/epithelioid and advanced/non-epithelioid. RT-PCR array analysis demonstrated that a number of genes differentially expressed in effluent-derived non-epithelioid cells also showed significant differential expression when comparing standard versus low-GDP PD fluids. Thrombospondin-1 (TSP1), collagen-13 (COL13), vascular endothelial growth factor A (VEGFA), and gremlin-1 (GREM1) were measured in PD effluents, and except GREM1, showed significant differences between early and advanced stages of MMT, and their expression was associated with a high peritoneal transport status. The results establish a proof of concept about the feasibility of measuring MMT-associated secreted protein levels as potential biomarkers in PD.
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