• Title of article

    Monitoring kidney-transplant patients using metabolomics and dynamic modeling

  • Author/Authors

    Stenlund، نويسنده , , Hans and Madsen، نويسنده , , Rasmus and Vivi، نويسنده , , Antonio and Calderisi، نويسنده , , Marco and Lundstedt، نويسنده , , Torbjِrn and Tassini، نويسنده , , Maria and Carmellini، نويسنده , , Mario and Trygg، نويسنده , , Johan، نويسنده ,

  • Issue Information
    دوفصلنامه با شماره پیاپی سال 2009
  • Pages
    6
  • From page
    45
  • To page
    50
  • Abstract
    A kidney transplant provides the only hope for a normal life for patients with end-stage renal disease, i.e., kidney failure. Unfortunately, the lack of available organs leaves some patients on the waiting list for years. In addition, the post-transplant treatment is extremely important for the final outcome of the surgery, since immune responses, drug toxicity and other complications pose a real and present threat to the patient. In this article, we describe a novel strategy for monitoring kidney transplanted patients for immune responses and adverse drug effects in their early recovery. Nineteen patients were followed for two weeks after renal transplantation, two of them experienced problems related to kidney function, both of whom were correctly identified by means of nuclear magnetic resonance spectroscopic analysis of urine samples and multivariate data analysis.
  • Keywords
    Chemometrics , Nuclear magnetic resonance (NMR) spectroscopy , Metabolomics , Dynamic modeling , kidney transplant , Orthogonal Projections to Latent Structures (OPLS)
  • Journal title
    Chemometrics and Intelligent Laboratory Systems
  • Serial Year
    2009
  • Journal title
    Chemometrics and Intelligent Laboratory Systems
  • Record number

    1489539