Literature DB >> 19104410

Circulating markers of endothelial dysfunction interact with proteinuria in predicting mortality in renal transplant recipients.

Rutger M van Ree1, Leendert H Oterdoom, Aiko P J de Vries, Jaap J Homan van der Heide, Willem J van Son, Gerjan Navis, Reinold O B Gans, Stephan J L Bakker.   

Abstract

BACKGROUND: Proteinuria is associated with endothelial dysfunction (ED) and increased mortality. We investigated whether urinary protein excretion (UPE) is correlated with markers of ED and whether these markers affect the association of proteinuria with mortality in renal transplant recipients (RTR).
METHODS: Six hundred four RTR with a functioning graft for more than 1 year were included. RTR were divided according to UPE: less than 0.3, 0.3 to 1.0, and more than 1.0 g/24 hr. Soluble intercellular adhesion molecule type 1 (sICAM-1) and soluble vascular cellular adhesion molecule type 1 (sVCAM-1) were measured using ELISA.
RESULTS: UPE (0.2 [0.0-0.5] g/24 hr), sICAM-1 (603 (514-721) ng/mL), and sVCAM-1 (952 [769-1196] ng/mL) were measured at 6.0 (2.6-11.4) years posttransplant. During follow-up for 5.3 (4.7-5.7) years, 94 (16%) RTR died. UPE was correlated with sVCAM-1 (standardized beta=0.13, P=0.001) but not with sICAM-1 (standardized beta=0.04, P=0.3). RTR with UPE more than 1.0 g/24 hr and high sICAM-1 (hazard ratio=4.7, 95% confidence interval 2.3-9.7, P<0.0001) or sVCAM-1 (hazard ratio=4.2, 95% confidence interval 2.0-8.6, P=0.0001) concentrations were at increased risk for death, whereas RTR with UPE more than 1.0 g/24 hr and low concentrations of sICAM-1 and sVCAM-1 were not.
CONCLUSIONS: In RTR, UPE is correlated with sVCAM-1 but not with sICAM-1. Furthermore, RTR with proteinuria and high concentrations of sICAM-1 or sVCAM-1 have an increased risk for death, compared with RTR without proteinuria, whereas this is not the case in RTR with proteinuria but low concentrations of sICAM-1 and sVCAM-1. These results suggest that ED plays a role in the association of proteinuria with mortality after renal transplantation.

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Year:  2008        PMID: 19104410     DOI: 10.1097/TP.0b013e3181903d25

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  4 in total

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2.  Associations of pretransplant serum albumin with post-transplant outcomes in kidney transplant recipients.

Authors:  M Z Molnar; C P Kovesdy; S Bunnapradist; E Streja; R Mehrotra; M Krishnan; A R Nissenson; K Kalantar-Zadeh
Journal:  Am J Transplant       Date:  2011-03-30       Impact factor: 8.086

3.  Artery Wall Assessment Helps Predict Kidney Transplant Outcome.

Authors:  Domingo Hernández; Javier Triñanes; Eduardo Salido; Sergio Pitti; Margarita Rufino; José Manuel González-Posada; Armando Torres
Journal:  PLoS One       Date:  2015-06-12       Impact factor: 3.240

Review 4.  Kidney disease and vitamin D levels: 25-hydroxyvitamin D, 1,25-dihydroxyvitamin D, and VDR activation.

Authors:  Adriana S Dusso
Journal:  Kidney Int Suppl (2011)       Date:  2011-09
  4 in total

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