Evidence map›Paper›PMID 25769420›Full record

ArticleAnalytical biochemistry2015

Evaluating the effects of preanalytical variables on the stability of the human plasma proteome.

Maria E Hassis, Richard K Niles, Miles N Braten, Matthew E Albertolle, H Ewa Witkowska, Carl A Hubel, Susan J Fisher, Katherine E Williams

Abstract read
In one paragraph

Article in Analytical biochemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
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

36 citing papers in PubMed, 69 citations in OpenAlex.

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  15. Impact of Nanomedicine in Women's Metastatic Breast Cancer.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Review
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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

8 authors at 3 institutions in 1 country.

Maria E HassisDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA; Sandler-Moore Mass Spectrometry Core Facility, University of California San Francisco, San Francisco, CA 94143, USA; Center for Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA.
Richard K NilesDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA; Sandler-Moore Mass Spectrometry Core Facility, University of California San Francisco, San Francisco, CA 94143, USA.
Miles N BratenDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA; Sandler-Moore Mass Spectrometry Core Facility, University of California San Francisco, San Francisco, CA 94143, USA; Center for Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA.
Matthew E AlbertolleDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA; Sandler-Moore Mass Spectrometry Core Facility, University of California San Francisco, San Francisco, CA 94143, USA; Center for Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA.
H Ewa WitkowskaDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA; Sandler-Moore Mass Spectrometry Core Facility, University of California San Francisco, San Francisco, CA 94143, USA; Center for Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA.
Carl A HubelMagee-Womens Research Institute and Department of Obstetrics, Gynecology & Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Susan J FisherDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA; Sandler-Moore Mass Spectrometry Core Facility, University of California San Francisco, San Francisco, CA 94143, USA; Center for Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA; Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA.
Katherine E WilliamsDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA; Sandler-Moore Mass Spectrometry Core Facility, University of California San Francisco, San Francisco, CA 94143, USA; Center for Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA. Electronic address: katherine.williams@ucsf.edu.
University of California, San Francisco · USReproductive Science Center · USMagee-Womens Research Institute · US

Funding

UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
TROPHOBLAST PRODUCTS IN GENESIS OF PREECLAMPSIAP01HD030367 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI HUBEL, CARL A · 1993 to 2012
$17.2M
CCR NIH HHS HHSN261200800001CNCATS NIH HHS UL1 TR000005NCATS NIH HHS UL1TR000005NCI NIH HHS HHSN261200800001ENCRR NIH HHS UL1 RR024153NCRR NIH HHS UL1RR024153NICHD NIH HHS P01 HD030367NICHD NIH HHS P01HD30367
6 · The paper itself

Abstract

High quality clinical biospecimens are vital for biomarker discovery, verification, and validation. Variations in blood processing and handling can affect protein abundances and assay reliability. Using an untargeted LC-MS approach, we systematically measured the impact of preanalytical variables on the plasma proteome. Time prior to processing was the only variable that affected the plasma protein levels. LC-MS quantification showed that preprocessing times <6h had minimal effects on the immunodepleted plasma proteome, but by 4 days significant changes were apparent. Elevated levels of many proteins were observed, suggesting that in addition to proteolytic degradation during the preanalytical phase, changes in protein structure are also important considerations for protocols using antibody depletion. As to processing variables, a comparison of single- vs double-spun plasma showed minimal differences. After processing, the impact ⩽3 freeze-thaw cycles was negligible regardless of whether freshly collected samples were processed in short succession or the cycles occurred during 14-17 years of frozen storage (-80 °C). Thus, clinical workflows that necessitate modest delays in blood processing times or employ different centrifugation steps can yield valuable samples for biomarker discovery and verification studies.

Indexed as

Blood ProteinsCentrifugationChromatography, LiquidFreezingHumansProtein StabilityProteomeProteomicsSpecimen HandlingBlood ProteinsProteomeMass spectrometryPlasmaPreanalytical variablesProteomicsSerum

Identifiers

PMID25769420
PMCPMC4492164
OpenAlexW2043978015

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.