Cross-sectional examination of metabolites and metabolic phenotypes in uremia.
Cross-sectional examination of metabolites and metabolic phenotypes in uremia.
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DOI:
10.1186/s12882-015-0100-y
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发表时间:
2015-07-07
期刊:
影响因子:
2.3
通讯作者:
Rhee EP
中科院分区:
文献类型:
--
作者:
Kalim S;Clish CB;Deferio JJ;Ortiz G;Moffet AS;Gerszten RE;Thadhani R;Rhee EP
Although metabolomic approaches have begun to document numerous changes that arise in end stage renal disease (ESRD), how these alterations relate to established metabolic phenotypes in uremia is unknown. In 200 incident hemodialysis patients we used partial least squares discriminant analysis to identify which among 166 metabolites could best discriminate individuals with or without diabetes, and across tertiles of body mass index, serum albumin, total cholesterol, and systolic blood pressure. Our data do not recapitulate metabolomic signatures of diabetes and obesity identified among individuals with normal renal function (e.g. elevations in branched chain and aromatic amino acids) and highlight several potential markers of diabetes status specific to ESRD, including xanthosine-5-phosphate and vanillylmandelic acid. Further, our data identify significant associations between elevated tryptophan and long-chain acylcarnitine levels and both decreased total cholesterol and systolic blood pressure in ESRD. Higher tryptophan levels were also associated with higher serum albumin levels, but this may reflect tryptophan’s significant albumin binding. Finally, an examination of the uremic retention solutes captured by our platform in relation to 24 clinical phenotypes provides a framework for investigating mechanisms of uremic toxicity. In sum, these studies leveraging metabolomic and metabolic phenotype data acquired in a well-characterized ESRD cohort demonstrate striking differences from metabolomics studies in the general population, and may provide clues to novel functional pathways in the ESRD population. The online version of this article (doi:10.1186/s12882-015-0100-y) contains supplementary material, which is available to authorized users.
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影响因子:
5.4
作者:
Kalim S;Clish CB;Wenger J;Elmariah S;Yeh RW;Deferio JJ;Pierce K;Deik A;Gerszten RE;Thadhani R;Rhee EP
通讯作者:
Rhee EP
DOI:
10.1056/nejmoa0706130
发表时间:
2008-08-07
期刊:
The New England journal of medicine
影响因子:
--
作者:
Gutiérrez OM;Mannstadt M;Isakova T;Rauh-Hain JA;Tamez H;Shah A;Smith K;Lee H;Thadhani R;Jüppner H;Wolf M
通讯作者:
Wolf M
影响因子:
7.7
作者:
Floegel A;Stefan N;Yu Z;Mühlenbruch K;Drogan D;Joost HG;Fritsche A;Häring HU;Hrabě de Angelis M;Peters A;Roden M;Prehn C;Wang-Sattler R;Illig T;Schulze MB;Adamski J;Boeing H;Pischon T
通讯作者:
Pischon T
影响因子:
37.8
作者:
Cheng S;Rhee EP;Larson MG;Lewis GD;McCabe EL;Shen D;Palma MJ;Roberts LD;Dejam A;Souza AL;Deik AA;Magnusson M;Fox CS;O'Donnell CJ;Vasan RS;Melander O;Clish CB;Gerszten RE;Wang TJ
通讯作者:
Wang TJ
影响因子:
6.1
作者:
Atzler, Dorothee;Schwedhelm, Edzard;Zeller, Tanja
通讯作者:
Zeller, Tanja