Literature DB >> 31446969

The effect of sampling procedures and day-to-day variations in metabolomics studies of biofluids.

Guro F Giskeødegård1, Trygve Andreassen2, Helena Bertilsson3, May-Britt Tessem4, Tone F Bathen5.   

Abstract

Metabolomics analysis of biofluids is a feasible tool for disease characterization and monitoring due to its minimally invasive nature. To reduce unwanted variation in biobanks and clinical studies, it is important to determine the effect of external factors on metabolic profiles of biofluids. In this study we examined the effect of sample collection and sample processing procedures on NMR measured serum lipoproteins and small-molecule metabolites in serum and urine, using a cohort of men diagnosed with either prostate cancer or benign prostatic hyperplasia. We determined day-to-day reliability of metabolites by systematic sample collection at two different days, in both fasting and non-fasting conditions. Study participants received prostate massage the first day to assess the differences between urine with and without prostate secretions. Further, metabolic differences between first-void and mid-stream urine samples, and the effect of centrifugation of urine samples before storage were assessed. Our results show that day-to-day reliability is highly variable between metabolites in both serum and urine, while lipoprotein subfractions possess high reliability. Further, fasting status clearly influenced the metabolite concentrations, demonstrating the importance of keeping this condition constant within a study cohort. Day-to-day reliabilities were however comparable in fasting and non-fasting samples. Urine sampling procedures such as sampling of first-void or mid-stream urine, and centrifugation or not before sample storage, were shown to only have minimal effect on the overall metabolic profile, and is thus unlikely to constitute a confounder in clinical studies utilizing NMR derived metabolomics.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Centrifugation; Metabolite reliability; Postprandial metabolomics; Prostate secretion; Serum; Urine

Mesh:

Year:  2019        PMID: 31446969     DOI: 10.1016/j.aca.2019.07.026

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  3 in total

1.  NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data.

Authors:  Qingxia Yang; Yunxia Wang; Ying Zhang; Fengcheng Li; Weiqi Xia; Ying Zhou; Yunqing Qiu; Honglin Li; Feng Zhu
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

2.  Optimization of training and measurement protocol for eNose analysis of urine headspace aimed at prostate cancer diagnosis.

Authors:  Laura Capelli; Carmen Bax; Fabio Grizzi; Gianluigi Taverna
Journal:  Sci Rep       Date:  2021-10-22       Impact factor: 4.379

3.  Longitudinal Changes in Circulating Metabolites and Lipoproteins After Breast Cancer Treatment.

Authors:  Guro F Giskeødegård; Torfinn S Madssen; Matteo Sangermani; Steinar Lundgren; Torgeir Wethal; Trygve Andreassen; Randi J Reidunsdatter; Tone F Bathen
Journal:  Front Oncol       Date:  2022-06-16       Impact factor: 5.738

  3 in total

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