Comparison of serum, EDTA plasma and P100 plasma for luminex-based biomarker multiplex assays in patients with chronic obstructive pulmonary disease in the SPIROMICS study Public Deposited

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Creator
  • Han, Meilan K
    • Other Affiliation: Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health Care System, Ann Arbor, MI, USA
  • Carretta, Elizabeth E
    • Affiliation: Gillings School of Global Public Health, Department of Biostatistics
  • Peters, Stephen P
    • Other Affiliation: Center for Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
  • O’Neal, Wanda K
    • Affiliation: School of Medicine
  • Barr, R
    • Other Affiliation: College of Physicians and Surgeons, Columbia University, New York, NY, USA
  • Kanner, Richard E
    • Other Affiliation: Department of Internal Medicine, Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, University of Utah, Salt Lake City, UT, USA
  • Christenson, Stephanie A
    • Other Affiliation: Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine and Cardiovascular Research Institute, University of California at San Francisco, San Francisco, CA, USA
  • Bleecker, Eugene R
    • Other Affiliation: Center for Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
  • Curtis, Jeffrey L
    • Other Affiliation: Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health Care System, Ann Arbor, MI, USA; Pulmonary and Critical Care Medicine Section, Medical Service, VA Ann Arbor Healthcare, Ann Arbor, MI, USA
  • Woodruff, Prescott G
    • Other Affiliation: Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine and Cardiovascular Research Institute, University of California at San Francisco, San Francisco, CA, USA
  • Anderson, Wayne
    • Affiliation: School of Medicine, Department of Medicine, Division of Pulmonary Diseases and Critical Care Medicine
  • Miller, Bruce E
    • Other Affiliation: Respiratory Therapy Area Unit, GlaxoSmithKline, King of Prussia, PA, USA
  • Tal-Singer, Ruth
    • Other Affiliation: Respiratory Therapy Area Unit, GlaxoSmithKline, King of Prussia, PA, USA
  • Rennard, Stephen I
    • Other Affiliation: Department of Internal Medicine, Pulmonary, Critical Care, Sleep and Allergy Division, University of Nebraska Medical Center, Omaha, NE, USA
  • Kleerup, Eric C
    • Other Affiliation: Department of Medicine, Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
  • Scholand, Mary
    • Other Affiliation: Department of Internal Medicine, Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, University of Utah, Salt Lake City, UT, USA
  • Davis, Sonia
    • Affiliation: Gillings School of Global Public Health, Department of Biostatistics
  • Doerschuk, Claire
    • Affiliation: School of Medicine
  • Couper, David
    • Affiliation: Gillings School of Global Public Health, Department of Biostatistics
  • Hansel, Nadia N
    • Other Affiliation: Department of Medicine, School of Medicine; Department of Environmental Health Sciences, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
  • Basta, Patricia V
    • Other Affiliation: Biospecimen Processing Center, Chapel Hill, NC, USA
  • Martinez, Fernando J
    • Other Affiliation: Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health Care System, Ann Arbor, MI, USA
Abstract
  • Abstract Background As a part of the longitudinal Chronic Obstructive Pulmonary Disease (COPD) study, Subpopulations and Intermediate Outcome Measures in COPD study (SPIROMICS), blood samples are being collected from 3200 subjects with the goal of identifying blood biomarkers for sub-phenotyping patients and predicting disease progression. To determine the most reliable sample type for measuring specific blood analytes in the cohort, a pilot study was performed from a subset of 24 subjects comparing serum, Ethylenediaminetetraacetic acid (EDTA) plasma, and EDTA plasma with proteinase inhibitors (P100™). Methods 105 analytes, chosen for potential relevance to COPD, arranged in 12 multiplex and one simplex platform (Myriad-RBM) were evaluated in duplicate from the three sample types from 24 subjects. The reliability coefficient and the coefficient of variation (CV) were calculated. The performance of each analyte and mean analyte levels were evaluated across sample types. Results 20% of analytes were not consistently detectable in any sample type. Higher reliability and/or smaller CV were determined for 12 analytes in EDTA plasma compared to serum, and for 11 analytes in serum compared to EDTA plasma. While reliability measures were similar for EDTA plasma and P100 plasma for a majority of analytes, CV was modestly increased in P100 plasma for eight analytes. Each analyte within a multiplex produced independent measurement characteristics, complicating selection of sample type for individual multiplexes. Conclusions There were notable detectability and measurability differences between serum and plasma. Multiplexing may not be ideal if large reliability differences exist across analytes measured within the multiplex, especially if values differ based on sample type. For some analytes, the large CV should be considered during experimental design, and the use of duplicate and/or triplicate samples may be necessary. These results should prove useful for studies evaluating selection of samples for evaluation of potential blood biomarkers.
Date of publication
Identifier
  • 24397870
  • doi:10.1186/1479-5876-12-9
Resource type
  • Article
Rights statement
  • In Copyright
Rights holder
  • Wanda K O’Neal et al.; licensee BioMed Central Ltd.
License
Journal title
  • Journal of Translational Medicine
Journal volume
  • 12
Journal issue
  • 1
Page start
  • 9
Language
  • English
Is the article or chapter peer-reviewed?
  • Yes
ISSN
  • 1479-5876
Bibliographic citation
  • Journal of Translational Medicine. 2014 Jan 08;12(1):9
Access
  • Open Access
Publisher
  • BioMed Central Ltd
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