Literature DB >> 16302993

Metabolomics: the principles and potential applications to transplantation.

D S Wishart1.   

Abstract

This review provides a summary of the applications and potential applications of metabolite profiling (i.e. metabolomics) in monitoring organ transplants. While the concept of metabolomics is relatively new to organ transplantation, the idea of measuring metabolites as a quick, noninvasive probe of organ function is not. Indeed, metabolite measurements of serum creatinine have long been used to assess pre- and post-operative organ function. Over the past 10 years, a number of lesser-known, organ-specific metabolites have also been shown to be good diagnostic indicators of both organ function and viability. In general, metabolomics offers a complementary picture to what can be revealed via techniques based on genomics, proteomics or histology. Because metabolic changes typically happen within seconds or minutes after an 'event', whereas some transcript, protein abundance or tissue changes may take place over days or weeks, metabolomic measurements may offer a particularly useful and inexpensive diagnostic tool to monitor donor organ viability or to detect organ rejection. The excitement associated with metabolomics, however, must be tempered by the fact that the technology for rapid metabolite identification is still in its infancy, and that metabolites are but one part of a very complex picture pertaining to organ function.

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Year:  2005        PMID: 16302993     DOI: 10.1111/j.1600-6143.2005.01119.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  37 in total

1.  A high-performance liquid chromatography-tandem mass spectrometry-based targeted metabolomics kidney dysfunction marker panel in human urine.

Authors:  Jacek Klepacki; Jost Klawitter; Jelena Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Clin Chim Acta       Date:  2015-04-11       Impact factor: 3.786

Review 2.  NMR-based Stable Isotope Resolved Metabolomics in systems biochemistry.

Authors:  Andrew N Lane; Teresa W-M Fan
Journal:  Arch Biochem Biophys       Date:  2017-03-02       Impact factor: 4.013

Review 3.  Analytical approaches to metabolomics and applications to systems biology.

Authors:  Jeffrey H Wang; Jaeman Byun; Subramaniam Pennathur
Journal:  Semin Nephrol       Date:  2010-09       Impact factor: 5.299

4.  Differentiation of alloreactive versus CD3/CD28 stimulated T-lymphocytes using Raman spectroscopy: a greater specificity for noninvasive acute renal allograft rejection detection.

Authors:  Kristian L Brown; Olena Y Palyvoda; Jagdish S Thakur; Sandra L Nehlsen-Cannarella; Omar R Fagoaga; Scott A Gruber; Gregory W Auner
Journal:  Cytometry A       Date:  2009-11       Impact factor: 4.355

Review 5.  Marking renal injury: can we move beyond serum creatinine?

Authors:  Jessica L Slocum; Michael Heung; Subramaniam Pennathur
Journal:  Transl Res       Date:  2012-02-03       Impact factor: 7.012

6.  Hyper response to ovarian stimulation affects the follicular fluid metabolomic profile of women undergoing IVF similarly to polycystic ovary syndrome.

Authors:  Fernanda Bertuccez Cordeiro; Thaís Regiani Cataldi; Beatriz Zappellini de Souza; Raquel Cellin Rochetti; Renato Fraietta; Carlos Alberto Labate; Edson Guimarães Lo Turco
Journal:  Metabolomics       Date:  2018-03-16       Impact factor: 4.290

7.  Low invasive in vivo tissue sampling for monitoring biomarkers and drugs during surgery.

Authors:  Barbara Bojko; Krzysztof Gorynski; German A Gomez-Rios; Jan M Knaak; Tiago Machuca; Erasmus Cudjoe; Vinzent N Spetzler; Michael Hsin; Marcelo Cypel; Markus Selzner; Mingyao Liu; Shaf Keshjavee; Janusz Pawliszyn
Journal:  Lab Invest       Date:  2014-03-31       Impact factor: 5.662

8.  Raman spectroscopic differentiation of activated versus non-activated T lymphocytes: an in vitro study of an acute allograft rejection model.

Authors:  Kristian L Brown; Olena Y Palyvoda; Jagdish S Thakur; Sandra L Nehlsen-Cannarella; Omar R Fagoaga; Scott A Gruber; Gregory W Auner
Journal:  J Immunol Methods       Date:  2008-11-06       Impact factor: 2.303

Review 9.  Metabolomics-based methods for early disease diagnostics.

Authors:  G A Nagana Gowda; Shucha Zhang; Haiwei Gu; Vincent Asiago; Narasimhamurthy Shanaiah; Daniel Raftery
Journal:  Expert Rev Mol Diagn       Date:  2008-09       Impact factor: 5.225

10.  Urine metabolites reflect time-dependent effects of cyclosporine and sirolimus on rat kidney function.

Authors:  Jost Klawitter; Jamie Bendrick-Peart; Birgit Rudolph; Virginia Beckey; Jelena Klawitter; Manuel Haschke; Christopher Rivard; Laurence Chan; Dieter Leibfritz; Uwe Christians; Volker Schmitz
Journal:  Chem Res Toxicol       Date:  2009-01       Impact factor: 3.739

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