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Monitoring kidney-transplant patients using metabolomics and dynamic modeling

Stenlund, Hans (author)
Umeå universitet,Kemiska institutionen
Madsen, Rasmus (author)
Umeå universitet,Kemiska institutionen
Vivi, Antonio (author)
Nuclear Magnetic Resonance Centre of Siena University, Siena, Italy
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Calderisi, Marco (author)
Nuclear Magnetic Resonance Centre of Siena University, Siena, Italy
Lundstedt, Torbjörn (author)
AcureOmics AB, Umeå, Sweden
Tassini, Maria (author)
Nuclear Magnetic Resonance Centre of Siena University, Siena, Italy
Carmellini, Mario (author)
Department of Surgery and Bioengineering, University of Siena, Siena, Italy
Trygg, Johan (author)
Umeå universitet,Kemiska institutionen,Computational Life Science Cluster (CLiC)
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 (creator_code:org_t)
Elsevier B.V. 2009
2009
English.
In: Chemometrics and Intelligent Laboratory Systems. - : Elsevier B.V.. - 0169-7439 .- 1873-3239. ; 98:1, s. 45-50
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences (hsv//eng)

Keyword

Nuclear Magnetic Resonance (NMR) Spectroscopy
Chemometrics; Metabolomics
Kidney transplant
Dynamic modeling
Orthogonal Projections to Latent Structures (OPLS)

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ref (subject category)
art (subject category)

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