Literature DB >> 12853592

Predicting outcomes after renal transplantation--new tools and old tools.

Philip A Marsden.   

Abstract

Mesh：

Year:  2003        PMID： 12853592     DOI： 10.1056/NEJMe030096

Source DB:  PubMed          Journal:  N Engl J Med        ISSN： 0028-4793            Impact factor:   91.245


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  3 in total

1.  Integrative urinary peptidomics in renal transplantation identifies biomarkers for acute rejection.

Authors:  Xuefeng B Ling; Tara K Sigdel; Kenneth Lau; Lihua Ying; Irwin Lau; James Schilling; Minnie M Sarwal
Journal:  J Am Soc Nephrol       Date:  2010-02-11       Impact factor: 10.121

2.  High urinary excretion of kidney injury molecule-1 is an independent predictor of graft loss in renal transplant recipients.

Authors:  Mirjan M van Timmeren; Vishal S Vaidya; Rutger M van Ree; Leendert H Oterdoom; Aiko P J de Vries; Reinold O B Gans; Harry van Goor; Coen A Stegeman; Joseph V Bonventre; Stephan J L Bakker
Journal:  Transplantation       Date:  2007-12-27       Impact factor: 4.939

3.  Urinary CD133+ extracellular vesicles are decreased in kidney transplanted patients with slow graft function and vascular damage.

Authors:  Veronica Dimuccio; Andrea Ranghino; Loredana Praticò Barbato; Fabrizio Fop; Luigi Biancone; Giovanni Camussi; Benedetta Bussolati
Journal:  PLoS One       Date:  2014-08-06       Impact factor: 3.240
  3 in total

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