Literature DB >> 23897902

Reproducibility of metabolomic profiles among men and women in 2 large cohort studies.

Mary K Townsend1, Clary B Clish, Peter Kraft, Chen Wu, Amanda L Souza, Amy A Deik, Shelley S Tworoger, Brian M Wolpin.   

Abstract

BACKGROUND: Rigorous studies are necessary to demonstrate suitability of metabolomics platforms to profile metabolites in archived plasma within epidemiologic studies of human disease, for which attenuation of effect estimates due to measurement error is a key concern.
METHODS: Using a liquid chromatography-tandem mass spectrometry platform, we quantified 257 metabolites from archived plasma to evaluate metabolite interassay reproducibility, reproducibility with delayed processing, and within-person reproducibility over time. Interassay reproducibility was assessed with CVs from 60 duplicate plasma samples donated by participants in the Nurses' Health Study and Health Professionals Follow-up Study, and 20 QC pool plasma replicates. Metabolite reproducibility over a 24- to 48-h processing delay (n = 48 samples) and within-person reproducibility over 1-2 years (n = 80 samples) were assessed using Spearman and intraclass correlation coefficients (ICCs).
RESULTS: CVs were <20% for 92% of metabolites and generally were similar by plasma anticoagulant type (heparin or EDTA) and fasting time. Approximately 75% of metabolites were reproducible over delays in processing of blood samples (Spearman correlation or ICC ≥ 0.75, comparing immediate and 24-h delayed processing). Carbohydrates and purine/pyrimidine derivatives were most adversely affected by the processing delay. Ninety percent of metabolites were reproducible over 1-2 years within individuals (Spearman correlation or ICC ≥ 0.4).
CONCLUSIONS: For potential use in epidemiologic studies, the majority of plasma metabolites had low CVs and were reproducible over a 24-h processing delay and within individuals over 1-2 years. Certain metabolites, such as carbohydrates and purine/pyrimidine derivatives, may be challenging to evaluate if samples have delayed processing.

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Year:  2013        PMID: 23897902      PMCID: PMC3812240          DOI: 10.1373/clinchem.2012.199133

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  32 in total

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2.  Effect of transport conditions on the stability of biochemical markers in blood.

Authors:  S E Hankinson; S J London; C G Chute; R L Barbieri; L Jones; L A Kaplan; F M Sacks; M J Stampfer
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Authors:  Peiyuan Yin; Andreas Peter; Holger Franken; Xinjie Zhao; Sabine S Neukamm; Lars Rosenbaum; Marianna Lucio; Andreas Zell; Hans-Ulrich Häring; Guowang Xu; Rainer Lehmann
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5.  Diet, serum cholesterol, and death from coronary heart disease. The Western Electric study.

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Journal:  PLoS One       Date:  2011-07-08       Impact factor: 3.240

9.  Effects of sample handling and storage on quantitative lipid analysis in human serum.

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Journal:  Metabolomics       Date:  2009-08-05       Impact factor: 4.290

10.  Metabolite profiles during oral glucose challenge.

Authors:  Jennifer E Ho; Martin G Larson; Ramachandran S Vasan; Anahita Ghorbani; Susan Cheng; Eugene P Rhee; Jose C Florez; Clary B Clish; Robert E Gerszten; Thomas J Wang
Journal:  Diabetes       Date:  2013-02-04       Impact factor: 9.461

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  116 in total

1.  Metabolic signatures associated with Western and Prudent dietary patterns in women.

Authors:  Paulette D Chandler; Raji Balasubramanian; Nina Paynter; Franco Giulianini; Teresa Fung; Lesley F Tinker; Linda Snetselaar; Simin Liu; Charles Eaton; Deirdre K Tobias; Fred K Tabung; JoAnn E Manson; Edward L Giovannucci; Clary Clish; Kathryn M Rexrode
Journal:  Am J Clin Nutr       Date:  2020-08-01       Impact factor: 7.045

2.  Identification of Serum Markers of Esophageal Adenocarcinoma by Global and Targeted Metabolic Profiling.

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Journal:  Clin Gastroenterol Hepatol       Date:  2015-05-19       Impact factor: 11.382

3.  Reproducibility of non-fasting plasma metabolomics measurements across processing delays.

Authors:  Ying Wang; Brian D Carter; Susan M Gapstur; Marjorie L McCullough; Mia M Gaudet; Victoria L Stevens
Journal:  Metabolomics       Date:  2018-09-25       Impact factor: 4.290

4.  Identifying biomarkers of dietary patterns by using metabolomics.

Authors:  Mary C Playdon; Steven C Moore; Andriy Derkach; Jill Reedy; Amy F Subar; Joshua N Sampson; Demetrius Albanes; Fangyi Gu; Jukka Kontto; Camille Lassale; Linda M Liao; Satu Männistö; Alison M Mondul; Stephanie J Weinstein; Melinda L Irwin; Susan T Mayne; Rachael Stolzenberg-Solomon
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5.  Association of Tryptophan Metabolites with Incident Type 2 Diabetes in the PREDIMED Trial: A Case-Cohort Study.

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Journal:  Clin Chem       Date:  2018-06-08       Impact factor: 8.327

Review 6.  Metabolomics in epidemiologic research: challenges and opportunities for early-career epidemiologists.

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7.  Impact of post-collection freezing delay on the reliability of serum metabolomics in samples reflecting the California mid-term pregnancy biobank.

Authors:  Michael R La Frano; Suzan L Carmichael; Chen Ma; Macy Hardley; Tong Shen; Ron Wong; Lorenzo Rosales; Kamil Borkowski; Theresa L Pedersen; Gary M Shaw; David K Stevenson; Oliver Fiehn; John W Newman
Journal:  Metabolomics       Date:  2018-11-15       Impact factor: 4.290

8.  Metabolomics signatures associated with an oral glucose challenge in pregnant women.

Authors:  B Gelaye; C B Clish; M Denis; G Larrabure; M G Tadesse; A Deik; K Pierce; K Bullock; C Dennis; D A Enquobahrie; M A Williams
Journal:  Diabetes Metab       Date:  2018-01-11       Impact factor: 6.041

9.  Effects of sodium benzoate, a widely used food preservative, on glucose homeostasis and metabolic profiles in humans.

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10.  A lipid-related metabolomic pattern of diet quality.

Authors:  Minoo Bagheri; Walter Willett; Mary K Townsend; Peter Kraft; Kerry L Ivey; Eric B Rimm; Kathryn Marie Wilson; Karen H Costenbader; Elizabeth W Karlson; Elizabeth M Poole; Oana A Zeleznik; A Heather Eliassen
Journal:  Am J Clin Nutr       Date:  2020-12-10       Impact factor: 7.045

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