Testing the Viability of Stored Frozen Serum Samples from the Air Force Health Study using Human Multi-Analyte Profiles (MAP(Trademark))

Abstract

We assessed whether the Air Force Health Study (AFHS) frozen samples were viable for use in future studies using the Rules Based Medicine (RBM) Multi-Analyte Profiles (MAPtm) technologies applied to assay specific biochemical parameters. We randomly chose five AFHS veterans who participated at the 1982, 1985, 1987, 1992, and 1997 physical examinations and had multiple serum samples stored. One sample per examination per participant was selected for a total of 25 serum samples analyzed by MAP. MAPs are high-density, quantitative immunoassays panels that allowed each serum specimen to be analyzed for 78 specific serum antigens, 43 autoimmune serologies and 56 infectious disease serologies for a total of 177 analytes in one complex analytical procedure using 100 microliters of sera. Overall, 96% of analytes provided measurable results and 83% (147 of 177) of analytes showed complete results for all five veterans for all five examinations. There was no indication that older samples were less well preserved than more recent ones. Comparison of quantitative result of 16 analytes measured at both the AFHS examinations and by the RBM human MAP panel found good correlations and agreement between the assays in stored frozen serum samples. Biochemical integrity of the samples appears to be well preserved and sensitive immunoassay based analyses were successfully performed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADA470474

Entities

People

  • Marian Pavuk

Organizations

  • Air Force Research Laboratory

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Agent Orange
  • Air Force
  • Air Force Research Laboratories
  • Antibodies
  • Digital Signal Processing
  • Diseases And Disorders
  • Governments
  • Health Services
  • High Density
  • Immunoassay
  • Infectious Diseases
  • Medical Personnel
  • Physical Examination (Medicine)
  • Serology
  • Signal Processing
  • Standards

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  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Mathematics or Statistics
  • Virology (or Medical Virology).