Renal systems biology of patients with systemic inflammatory response syndrome.

Document Type

Article

Publication Date

10-1-2015

Identifier

DOI: 10.1038/ki.2015.150; PMCID: PMC4591107

Abstract

A systems biology approach was used to comprehensively examine the impact of renal disease and hemodialysis (HD) on patient response during critical illness. To achieve this, we examined the metabolome, proteome, and transcriptome of 150 patients with critical illness, stratified by renal function. Quantification of plasma metabolites indicated greater change as renal function declined, with the greatest derangements in patients receiving chronic HD. Specifically, 6 uremic retention molecules, 17 other protein catabolites, 7 modified nucleosides, and 7 pentose phosphate sugars increased as renal function declined, consistent with decreased excretion or increased catabolism of amino acids and ribonucleotides. Similarly, the proteome showed increased levels of low-molecular-weight proteins and acute-phase reactants. The transcriptome revealed a broad-based decrease in mRNA levels among patients on HD. Systems integration revealed an unrecognized association between plasma RNASE1 and several RNA catabolites and modified nucleosides. Further, allantoin, N1-methyl-4-pyridone-3-carboxamide, and N-acetylaspartate were inversely correlated with the majority of significantly downregulated genes. Thus, renal function broadly affected the plasma metabolome, proteome, and peripheral blood transcriptome during critical illness; changes were not effectively mitigated by hemodialysis. These studies allude to several novel mechanisms whereby renal dysfunction contributes to critical illness.

Journal Title

Kidney international

Volume

88

Issue

4

First Page

804

Last Page

814

MeSH Keywords

Acute Kidney Injury; Adult; Aged; Aged, 80 and over; Biomarkers; Blood Proteins; Critical Illness; Female; Gene Expression Profiling; Gene Expression Regulation; Humans; Kidney; Kidney Function Tests; Male; Metabolomics; Middle Aged; Proteomics; RNA, Messenger; Renal Dialysis; Systemic Inflammatory Response Syndrome; Systems Biology; Systems Integration; Time Factors; Treatment Outcome; United States

Keywords

acute kidney injury, chronic kidney disease, gene expression, hemodialysis, sepsis

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