Literature DB >> 20613759

Metabolomic profiling of uremic solutes in CKD patients.

Takafumi Toyohara1, Yasutoshi Akiyama, Takehiro Suzuki, Yoichi Takeuchi, Eikan Mishima, Masayuki Tanemoto, Ayako Momose, Naoko Toki, Hiroshi Sato, Masaaki Nakayama, Atsushi Hozawa, Ichiro Tsuji, Sadayoshi Ito, Tomoyoshi Soga, Takaaki Abe.   

Abstract

Early detection and accurate monitoring of patients with chronic kidney disease (CKD) is likely to improve care and decrease the risk of cardiovascular and cerebrovascular diseases. As a new diagnostic tool, we examined the retention of uremic solutes as a simpler, more accurate method to assess renal function. To achieve this, we comprehensively evaluated these solutes in CKD patients. By capillary electrophoresis with mass spectrometry, we found 22 cations and 30 anions that accumulated significantly as the estimated glomerular filtration rate (eGFR) decreased. These compounds included 9 cations and 27 anions that were newly identified in this study. In contrast, we also found 7 cations (2 new) and 5 anions (all new) that decrease significantly as eGFR declines. We evaluated each substance for its suitability to detect early CKD stage. Compounds that are highly correlated with eGFR and whose plasma concentration changed in a manner approximated by the first-degree equation are excellent candidates for detecting CKD and identifying uremic toxins that might aggravate kidney function in the early stage of CKD. These results identify a number of uremic compounds, many of which are novel and which predict worsening renal function. These compounds provide diagnostic information and may be targets for therapies designed to treat the complications of CKD patients.

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Year:  2010        PMID: 20613759     DOI: 10.1038/hr.2010.113

Source DB:  PubMed          Journal:  Hypertens Res        ISSN: 0916-9636            Impact factor:   3.872


  56 in total

Review 1.  Normal and pathologic concentrations of uremic toxins.

Authors:  Flore Duranton; Gerald Cohen; Rita De Smet; Mariano Rodriguez; Joachim Jankowski; Raymond Vanholder; Angel Argiles
Journal:  J Am Soc Nephrol       Date:  2012-05-24       Impact factor: 10.121

2.  Effect of dietary sodium restriction on human urinary metabolomic profiles.

Authors:  Kristen L Jablonski; Jelena Klawitter; Michel Chonchol; Candace J Bassett; Matthew L Racine; Douglas R Seals
Journal:  Clin J Am Soc Nephrol       Date:  2015-04-21       Impact factor: 8.237

3.  The cpk model of recessive PKD shows glutamine dependence associated with the production of the oncometabolite 2-hydroxyglutarate.

Authors:  Vicki J Hwang; Jeffrey Kim; Amy Rand; Chaozhe Yang; Steve Sturdivant; Bruce Hammock; P Darwin Bell; Lisa M Guay-Woodford; Robert H Weiss
Journal:  Am J Physiol Renal Physiol       Date:  2015-07-08

Review 4.  The systemic nature of CKD.

Authors:  Carmine Zoccali; Raymond Vanholder; Ziad A Massy; Alberto Ortiz; Pantelis Sarafidis; Friedo W Dekker; Danilo Fliser; Denis Fouque; Gunnar H Heine; Kitty J Jager; Mehmet Kanbay; Francesca Mallamaci; Gianfranco Parati; Patrick Rossignol; Andrzej Wiecek; Gerard London
Journal:  Nat Rev Nephrol       Date:  2017-04-24       Impact factor: 28.314

5.  1,5-Anhydroglucitol predicts CKD progression in macroalbuminuric diabetic kidney disease: results from non-targeted metabolomics.

Authors:  Gesiane Tavares; Gabriela Venturini; Kallyandra Padilha; Roberto Zatz; Alexandre C Pereira; Ravi I Thadhani; Eugene P Rhee; Silvia M O Titan
Journal:  Metabolomics       Date:  2018-02-27       Impact factor: 4.290

Review 6.  Applications of metabolomics for kidney disease research: from biomarkers to therapeutic targets.

Authors:  Hiromi I Wettersten; Robert H Weiss
Journal:  Organogenesis       Date:  2013-01-01       Impact factor: 2.500

Review 7.  Approaches to uremia.

Authors:  Timothy W Meyer; Thomas H Hostetter
Journal:  J Am Soc Nephrol       Date:  2014-05-08       Impact factor: 10.121

8.  Plasma metabolomic profiles in different stages of CKD.

Authors:  Vallabh O Shah; Raymond R Townsend; Harold I Feldman; Kirk L Pappan; Elizabeth Kensicki; David L Vander Jagt
Journal:  Clin J Am Soc Nephrol       Date:  2012-12-06       Impact factor: 8.237

9.  Clinical and metabolomic risk factors associated with rapid renal function decline in sickle cell disease.

Authors:  Julia Z Xu; Melanie E Garrett; Karen L Soldano; Sean T Chen; Clary B Clish; Allison E Ashley-Koch; Marilyn J Telen
Journal:  Am J Hematol       Date:  2018-09-27       Impact factor: 10.047

10.  Metabolic Profiling of Impaired Cognitive Function in Patients Receiving Dialysis.

Authors:  Manjula Kurella Tamura; Glenn M Chertow; Thomas A Depner; Allen R Nissenson; Brigitte Schiller; Ravindra L Mehta; Sai Liu; Tammy L Sirich
Journal:  J Am Soc Nephrol       Date:  2016-07-21       Impact factor: 10.121

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