AI Article Synopsis

  • Sample handling significantly affects biomarker measurements, creating variability in data across different studies and sites.
  • Researchers analyzed 54 biomarkers from blood samples under various handling conditions to create blood collection protocols for a multisite cohort study.
  • While processing delays caused changes in biomarker concentrations, many variations were minor; however, some specific biomarkers like B vitamers showed substantial increases and decreases after delays.
  • Consistent sample handling practices are essential, and any processing delays should be documented and considered in analyses.

Article Abstract

Sample handling can influence biomarker measurement and introduce variability when combining data from multiple studies or study sites. To inform the development of blood collection protocols within a multisite cohort study, we directly quantified concentrations of 54 biomarkers in blood samples subjected to different handling conditions. We obtained serum, lithium heparin plasma, and EDTA plasma from 20 adult volunteers. Tubes of chilled whole blood were either centrifuged and processed within 2 hours of collection (the "reference standard") or were stored with cool packs for 24 or 48 hours; centrifuged before and/or after this delay; or collected in tubes with/without gel separators. We used linear mixed models with random intercepts to estimate geometric mean concentrations and relative percent differences across the conditions. Compared to the reference standard tubes, concentrations of many biomarkers changed after processing delays, but changes were often small. In serum, we observed large differences for B vitamers, glutamic acid (37% and 73% increases with 24- and 48-hour delays, respectively), glycine (12% and 23% increases), serine (16% and 27% increases), and acetoacetate (-19% and -26% decreases). Centrifugation timing and separator tube use did not affect concentrations of most biomarkers. Sample handling should be consistent across samples within an analysis. The length of processing delays should be recorded and accounted for when this is not feasible.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616936PMC
http://dx.doi.org/10.1089/bio.2022.0053DOI Listing

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