Evidence map›Paper›PMID 41723353›Full record

ArticleClinical proteomics2026

Impact of preanalytical factors on plasma extracellular vesicles and human plasma proteome.

Patil Shivprasad Suresh, Qibin Zhang

Abstract read
In one paragraph

Article in Clinical proteomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Patil Shivprasad SureshCenter for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, 28081, USA.
Qibin ZhangCenter for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, 28081, USA. q_zhang2@uncg.edu.ORCID http://orcid.org/0000-0002-6135-8706

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using human plasma and its protein-rich extracellular vesicles (EVs) for proteomic biomarker discovery requires an in-depth understanding of the influences of pre-analytical procedures. This study systematically investigates the ramifications of high-speed centrifugation, freeze-thaw cycles, and prolonged storage on the plasma proteome and abundance of plasma EVs. Employing a Mag-Net-assisted workflow for high-throughput EV-based plasma proteomics, we find that high-speed centrifuging plasma samples at 8,000 g prior to analysis reduces both EV and protein numbers to only 30% of the original plasma, rendering numerous established EV markers undetectable. In contrast, multiple freeze-thaw cycles within a week have very minimal effect on proteome coverage, albeit with a reduced number of EVs and subtle shifts in the enrichment and depletion patterns of specific proteins. Long-term storage of plasma in freezer for years gradually and significantly diminishes proteome coverage with reduced EV counts and altered size distributions. These results caution the use of biobank samples for retrospective studies, particularly longitudinally collected blood specimens that have been preserved for years for EV-focused biomarker research, and underscore the imperative for stringent standardization of pre-analytical protocols to enhance the reliability and reproducibility of plasma EV proteomics.

Indexed as

EV proteomicsExtracellular vesiclesHuman plasmaLong-term plasma storageMag-Net plasma proteomics

Identifiers

PMID41723353
PMCPMC13032548

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.