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.
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.
Authors: S E Hankinson; S J London; C G Chute; R L Barbieri; L Jones; L A Kaplan; F M Sacks; M J Stampfer Journal: Clin Chem Date: 1989-12 Impact factor: 8.327
Authors: Arun Sreekumar; Laila M Poisson; Thekkelnaycke M Rajendiran; Amjad P Khan; Qi Cao; Jindan Yu; Bharathi Laxman; Rohit Mehra; Robert J Lonigro; Yong Li; Mukesh K Nyati; Aarif Ahsan; Shanker Kalyana-Sundaram; Bo Han; Xuhong Cao; Jaeman Byun; Gilbert S Omenn; Debashis Ghosh; Subramaniam Pennathur; Danny C Alexander; Alvin Berger; Jeffrey R Shuster; John T Wei; Sooryanarayana Varambally; Christopher Beecher; Arul M Chinnaiyan Journal: Nature Date: 2009-02-12 Impact factor: 49.962
Authors: JodiAnne T Wood; John S Williams; Lakshmipathi Pandarinathan; Amber Courville; Melissa R Keplinger; David R Janero; Paul Vouros; Alexandros Makriyannis; Carol J Lammi-Keefe Journal: Clin Chem Lab Med Date: 2008 Impact factor: 3.694
Authors: Angela M Zivkovic; Michelle M Wiest; Uyen Thao Nguyen; Ryan Davis; Steven M Watkins; J Bruce German Journal: Metabolomics Date: 2009-08-05 Impact factor: 4.290
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
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
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
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 Journal: Am J Clin Nutr Date: 2016-12-28 Impact factor: 7.045
Authors: Edward Yu; Christopher Papandreou; Miguel Ruiz-Canela; Marta Guasch-Ferre; Clary B Clish; Courtney Dennis; Liming Liang; Dolores Corella; Montserrat Fitó; Cristina Razquin; José Lapetra; Ramón Estruch; Emilio Ros; Montserrat Cofán; Fernando Arós; Estefania Toledo; Lluis Serra-Majem; José V Sorlí; Frank B Hu; Miguel A Martinez-Gonzalez; Jordi Salas-Salvado Journal: Clin Chem Date: 2018-06-08 Impact factor: 8.327
Authors: Eline H van Roekel; Erikka Loftfield; Rachel S Kelly; Oana A Zeleznik; Krista A Zanetti Journal: Metabolomics Date: 2019-01-07 Impact factor: 4.290
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
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
Authors: Belinda S Lennerz; Scott B Vafai; Nigel F Delaney; Clary B Clish; Amy A Deik; Kerry A Pierce; David S Ludwig; Vamsi K Mootha Journal: Mol Genet Metab Date: 2014-11-15 Impact factor: 4.797
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