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Updated: Jun 6, 2026
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A Plasma Sample Preparation for Mass Spectrometry using an Automated Workstation
Published on: April 24, 2020
Plasma proteomics: considerations for preanalytical variability; a systematic review with narrative synthesis
Conor L Vaughan1, Amna Samjeed1, Deirdre M Murray1,2,3
1Infant Centre, University College Cork, Cork, Ireland.
Clinical Chemistry and Laboratory Medicine
|June 5, 2026
Summary
Preanalytical phase variations significantly impact plasma proteome studies. Standardizing sample handling is crucial for accurate disease biomarker discovery and ensuring reliable research findings.
Area of Science:
- Biochemistry
- Proteomics
- Biomarker Discovery
Background:
- The plasma proteome (PP) is vital for disease biomarker discovery, but its study relies on accurate reflection of in vivo conditions.
- Preanalytical phase (PAP) procedures in PP research often lack standardization, unlike in laboratory medicine.
- This review examines PAP factors affecting PP validity.
Purpose of the Study:
- To review the impact of preanalytical phase factors on plasma proteome research.
- To highlight the need for standardized PAP procedures in PP studies.
- To inform PP research workflows with best practices from laboratory medicine.
Main Methods:
- A systematic review of English-language, peer-reviewed studies from 2014-2024 was conducted.
- PRISMA guidelines were followed for study selection and data management.
- Covidence systematic review software was utilized.
Main Results:
- 15 eligible studies were reviewed, with 11 reporting significant PP alterations due to PAP factors.
- Temperature and time-to-processing were the most frequently cited PAP factors with significant effects.
- Eight studies specifically reported significant impacts from temperature and processing time.
Conclusions:
- Preanalytical phase variability can substantially affect plasma proteome study results.
- Careful consideration and standardization of each PAP stage are essential for PP research.
- Multicenter studies require pre-defined, research-specific workflows to minimize PAP variability and ensure data validity.
