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Low sensitivity of current clinical markers (serum creatinine, blood urea nitrogen (BUN)) in early stages of the development of acute kidney injury (AKI) limits their utility. Rapid LC/MS-based metabolic profiling of serum demonstrated in a pilot study that metabolomics could provide novel indicators of AKI. Metabolic profiles of serum samples from seventeen hospitalized patients with newly diagnosed AKI were compared with the profiles of serum from age-matched subjects with normal kidney function. Increases in acylcarnitines and amino acids (methionine, homocysteine, pyroglutamate, asymmetric dimethylarginine (ADMA), and phenylalanine) and a reduction in serum levels of arginine and several lysophosphatidyl cholines were observed in patients with AKI compared to healthy subjects. Increases in homocysteine, ADMA and pyroglutamate have been recognized as biomarkers of cardiovascular and renal disease, and acylcarnitines represent biomarkers of defective fatty acid oxidation. The results of this pilot study demonstrate the utility of metabolomics in the discovery of novel serum biomarkers that can facilitate the diagnosis and determine prognosis of AKI in hospitalized patients.

Acute kidney injury (AKI) is a major complication in children who undergo cardiopulmonary bypass surgery. We performed metabonomic analyses of urine samples obtained from 40 children that underwent cardiac surgery for correction of congenital cardiac defects. Serial urine samples were obtained from each patient prior to surgery and at 4 h and 12 h after surgery. AKI, defined as a 50% or greater rise in baseline level of serum creatinine, was noted in 21 children at 48-72 h after cardiac surgery. The principal component analysis of liquid chromatography/mass spectrometry (LC/MS) negative ionization data of the urine samples obtained 4 h and 12 h after surgery from patients who develop AKI clustered away from patients who did not develop AKI. The LC/MS peak with mass-to-charge ratio (m/z) 261.01 and retention time (tR) 4.92 min was further analyzed by tandem mass spectrometry (MS/MS) and identified as homovanillic acid sulfate (HVA-SO4), a dopamine metabolite. By MS single-reaction monitoring, the sensitivity was 0.90 and specificity was 0.95 for a cut-off value of 24 ng/microl for HVA-SO4 at 12 h after surgery. We concluded that urinary HVA-SO4 represents a novel, sensitive, and predictive early biomarker of AKI after pediatric cardiac surgery.

Acetaminophen (APAP) is a commonly used analgesic drug that can cause liver injury, liver necrosis and liver failure. APAP-induced liver injury is associated with glutathione depletion, the formation of APAP protein adducts, the generation of reactive oxygen and nitrogen species and mitochondrial injury. The systems biology omics technologies (transcriptomics, proteomics and metabolomics) have been used to discover potential translational biomarkers of liver injury. The following review provides a summary of the systems biology discovery process, analytical validation of biomarkers and translation of omics biomarkers from the nonclinical to clinical setting in APAP-induced liver injury.

A multi-age rat model was used to identify potential age-related differences in renal injury following exposure to gentamicin (GM). In this study, 10-, 25-, 40-, and 80-day-old Sprague-Dawley rats were dosed with GM at 0, 50, or 100 mg kg(-1) body weight per day (mkd) sc for 6 or 14 days. Urine samples were collected up to 72 h after initial dosing. The maximum tolerated dose was lower in 10-day-old rats than for other ages (none survived 11 days of treatment). Eighty-day-old rats given the highest dose showed a diminished rate of growth and an increase in serum creatinine, blood urea nitrogen (BUN), urinary kidney injury molecule-1 (Kim-1), and renal pathology. Ten- and 40-day-old rats given 100 mkd of GM for 6- or 14 days also had increased levels of serum BUN and Cr and renal pathology, whereas only mild renal alterations were found in 25-day-old rats. After 6 days of treatment with 100 mkd GM, significant increases in Havcr-1 (Kim-1) gene expression were detected only in 10- and 80-day-old rats. In urine samples, nuclear magnetic resonance and ultra performance liquid chromatography/mass spectrometry analysis detected changes related to GM efficacy (e.g., hippurate) and increases in metabolites related to antioxidant activity, which was greatest in the 80-day-old rats. The magnitude of the genomic, metabonomic, and serum chemistry changes appeared to correlate with the degree of nephropathy. These findings indicate that an experimental animal model that includes several developmental stages can detect age-related differences in drug-induced organ toxicities and may be a useful predictor of pediatric drug safety in preclinical studies.

Background: Urine from male Sprague-Dawley rats 25, 40, and 80 days old was analyzed by NMR and UPLC/MS. The effects of data normalization procedures on principal component analysis (PCA) and quantitative analysis of NMR-based metabonomics data were investigated. Additionally, the effects of age on the metabolic profiles were examined by both NMR and UPLC/MS analyses.

Introduction The metabolomics quality assurance and quality control consortium (mQACC) is enabling the identification, development, prioritization, and promotion of suitable reference materials (RMs) to be used in quality assurance (QA) and quality control (QC) for untargeted metabolomics research. Objectives This review aims to highlight current RMs, and methodologies used within untargeted metabolomics and lipidomics communities to ensure standardization of results obtained from data analysis, interpretation and cross-study, and cross-laboratory comparisons. The essence of the aims is also applicable to other ‘omics areas that generate high dimensional data. Results The potential for game-changing biochemical discoveries through mass spectrometry-based (MS) untargeted metabolomics and lipidomics are predicated on the evolution of more confident qualitative (and eventually quantitative) results from research laboratories. RMs are thus critical QC tools to be able to assure standardization, comparability, repeatability and reproducibility for untargeted data analysis, interpretation, to compare data within and across studies and across multiple laboratories. Standard operating procedures (SOPs) that promote, describe and exemplify the use of RMs will also improve QC for the metabolomics and lipidomics communities. Conclusions The application of RMs described in this review may significantly improve data quality to support metabolomics and lipidomics research. The continued development and deployment of new RMs, together with interlaboratory studies and educational outreach and training, will further promote sound QA practices in the community.