Dialysis modality-dependent changes in serum metabolites: Accumulation of inosine and hypoxanthine in patients on haemodialysis

Ji Young Choi, Yoo Jeong Yoon, Hee Jeong Choi, Sun Hee Park, Chan Duck Kim, In-San Kim, Tae Hwan Kwon, Jun Young Do, Sung Ho Kim, Do Hyun Ryu, Geum Sook Hwang, Yong Lim Kim

Research output: Contribution to journalArticle

45 Citations (Scopus)

Abstract

Background. The body metabolism of patients with end-stage renal disease may be altered in response to long-term dialysis treatment. Moreover, the pattern of serum metabolites could change depending on the type of dialysis modality used. However, dialysis modality-dependent changes in serum metabolites are poorly understood. Our aim was to profile comprehensively serum metabolites by exploiting a novel method of 1 H-NMR-based metabonomics and identify the differences in metabolite patterns in subjects receiving haemodialysis (HD) and peritoneal dialysis (PD).Methods. Anuric and non-diabetic HD patients were matched to PD patients for age, sex and dialysis duration. Accurate concentrations of serum metabolites were determined using the target-profiling procedure, and differences in the levels of metabolites were compared using multivariate analysis.Results. Principal Components Analysis score plots showed that the metabolic patterns could be discriminated by dialysis modalities. Hypoxanthine and inosine were present only with HD, whereas serum xanthine oxidase activity and uric acid levels were not different. In contrast, PD was associated with higher levels of lactate, glucose, maltose, pyruvate, succinate, alanine, and glutamate linked to glucose metabolism and the tri-carboxylic acid cycle. Maltose appeared only in patients using icodextrin solution for PD. Known uraemic retention solutes such as urea, creatinine, myo-inositol and trimethylamine-N-oxide were increased in both dialysis groups.Conclusions. Metabonomics shows apparent differences in the profiles of serum metabolites between HD and PD, which were influenced by dialysis-related processes. Inosine and hypoxanthine are present only in HD patients, which is likely to represent more hypoxic and oxidative stress.

Original languageEnglish
Pages (from-to)1304-1313
Number of pages10
JournalNephrology Dialysis Transplantation
Volume26
Issue number4
DOIs
Publication statusPublished - 2011 Apr 1
Externally publishedYes

Fingerprint

Inosine
Hypoxanthine
Renal Dialysis
Dialysis
Peritoneal Dialysis
Serum
Metabolomics
Maltose
Glucose
Xanthine Oxidase
Succinic Acid
Inositol
Carboxylic Acids
Principal Component Analysis
Uric Acid
Pyruvic Acid
Alanine
Chronic Kidney Failure
Urea
Glutamic Acid

Keywords

  • dialysis modality
  • haemodialysis
  • metabonomics
  • peritoneal dialysis

ASJC Scopus subject areas

  • Nephrology
  • Transplantation

Cite this

Dialysis modality-dependent changes in serum metabolites : Accumulation of inosine and hypoxanthine in patients on haemodialysis. / Choi, Ji Young; Yoon, Yoo Jeong; Choi, Hee Jeong; Park, Sun Hee; Kim, Chan Duck; Kim, In-San; Kwon, Tae Hwan; Do, Jun Young; Kim, Sung Ho; Ryu, Do Hyun; Hwang, Geum Sook; Kim, Yong Lim.

In: Nephrology Dialysis Transplantation, Vol. 26, No. 4, 01.04.2011, p. 1304-1313.

Research output: Contribution to journalArticle

Choi, JY, Yoon, YJ, Choi, HJ, Park, SH, Kim, CD, Kim, I-S, Kwon, TH, Do, JY, Kim, SH, Ryu, DH, Hwang, GS & Kim, YL 2011, 'Dialysis modality-dependent changes in serum metabolites: Accumulation of inosine and hypoxanthine in patients on haemodialysis', Nephrology Dialysis Transplantation, vol. 26, no. 4, pp. 1304-1313. https://doi.org/10.1093/ndt/gfq554
Choi, Ji Young ; Yoon, Yoo Jeong ; Choi, Hee Jeong ; Park, Sun Hee ; Kim, Chan Duck ; Kim, In-San ; Kwon, Tae Hwan ; Do, Jun Young ; Kim, Sung Ho ; Ryu, Do Hyun ; Hwang, Geum Sook ; Kim, Yong Lim. / Dialysis modality-dependent changes in serum metabolites : Accumulation of inosine and hypoxanthine in patients on haemodialysis. In: Nephrology Dialysis Transplantation. 2011 ; Vol. 26, No. 4. pp. 1304-1313.
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T2 - Accumulation of inosine and hypoxanthine in patients on haemodialysis

AU - Choi, Ji Young

AU - Yoon, Yoo Jeong

AU - Choi, Hee Jeong

AU - Park, Sun Hee

AU - Kim, Chan Duck

AU - Kim, In-San

AU - Kwon, Tae Hwan

AU - Do, Jun Young

AU - Kim, Sung Ho

AU - Ryu, Do Hyun

AU - Hwang, Geum Sook

AU - Kim, Yong Lim

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Y1 - 2011/4/1

N2 - Background. The body metabolism of patients with end-stage renal disease may be altered in response to long-term dialysis treatment. Moreover, the pattern of serum metabolites could change depending on the type of dialysis modality used. However, dialysis modality-dependent changes in serum metabolites are poorly understood. Our aim was to profile comprehensively serum metabolites by exploiting a novel method of 1 H-NMR-based metabonomics and identify the differences in metabolite patterns in subjects receiving haemodialysis (HD) and peritoneal dialysis (PD).Methods. Anuric and non-diabetic HD patients were matched to PD patients for age, sex and dialysis duration. Accurate concentrations of serum metabolites were determined using the target-profiling procedure, and differences in the levels of metabolites were compared using multivariate analysis.Results. Principal Components Analysis score plots showed that the metabolic patterns could be discriminated by dialysis modalities. Hypoxanthine and inosine were present only with HD, whereas serum xanthine oxidase activity and uric acid levels were not different. In contrast, PD was associated with higher levels of lactate, glucose, maltose, pyruvate, succinate, alanine, and glutamate linked to glucose metabolism and the tri-carboxylic acid cycle. Maltose appeared only in patients using icodextrin solution for PD. Known uraemic retention solutes such as urea, creatinine, myo-inositol and trimethylamine-N-oxide were increased in both dialysis groups.Conclusions. Metabonomics shows apparent differences in the profiles of serum metabolites between HD and PD, which were influenced by dialysis-related processes. Inosine and hypoxanthine are present only in HD patients, which is likely to represent more hypoxic and oxidative stress.

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KW - metabonomics

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