Evidence map›Paper›PMID 31074987›Full record

ArticleJournal of proteome research2019

An Integrated Analysis of Metabolites, Peptides, and Inflammation Biomarkers for Assessment of Preanalytical Variability of Human Plasma.

Zhijun Cao, Beate Kamlage, Antje Wagner-Golbs, Mackean Maisha, Jinchun Sun, Laura K Schnackenberg, Lisa Pence, Thomas C Schmitt, Jaclyn R Daniels, Sarah Rogstad and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Emerging technologies and their impact on regulatory science.Experimental biology and medicine (Maywood, N.J.) · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
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

12 authors at 2 institutions in 1 country.

Zhijun CaoDivision of Systems Biology , National Center for Toxicological Research, FDA , Jefferson , Arkansas 72079 , United States.
Beate KamlageMetanomics Health GmbH , Berlin 10589 , Germany.ORCID 0000-0003-2003-9036
Antje Wagner-GolbsMetanomics Health GmbH , Berlin 10589 , Germany.
Mackean MaishaDivision of Bioinformatics and Biostatistics , National Center for Toxicological Research, FDA , Jefferson , Arkansas 72079 , United States.
Jinchun SunDivision of Systems Biology , National Center for Toxicological Research, FDA , Jefferson , Arkansas 72079 , United States.
Laura K SchnackenbergDivision of Systems Biology , National Center for Toxicological Research, FDA , Jefferson , Arkansas 72079 , United States.
Lisa PenceDivision of Systems Biology , National Center for Toxicological Research, FDA , Jefferson , Arkansas 72079 , United States.
Thomas C SchmittDivision of Systems Biology , National Center for Toxicological Research, FDA , Jefferson , Arkansas 72079 , United States.
Jaclyn R DanielsDivision of Systems Biology , National Center for Toxicological Research, FDA , Jefferson , Arkansas 72079 , United States.
Sarah RogstadCenter for Drug Evaluation and Research , FDA , Silver Spring , Maryland 20993 , United States.
Richard D BegerDivision of Systems Biology , National Center for Toxicological Research, FDA , Jefferson , Arkansas 72079 , United States.
Li-Rong YuDivision of Systems Biology , National Center for Toxicological Research, FDA , Jefferson , Arkansas 72079 , United States.ORCID 0000-0001-6084-991X
National Center for Toxicological Research · USCenter for Drug Evaluation and Research · US

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

Discrepancies in blood sample collection and processing could have a significant impact on levels of metabolites, peptides, and protein biomarkers of inflammation in the blood; thus, sample quality control is critical for successful biomarker identification and validation. In this study, we analyzed the effects of several preanalytical processing conditions, including different storage times and temperatures for blood or plasma samples and different centrifugation forces on the levels of metabolites, peptides, and inflammation biomarkers in human plasma samples using ethylenediaminetetraacetic acid (EDTA) as an anticoagulant. Temperature was found to be the major factor for metabolite variation, and both time and temperature were identified as major factors for peptide variation. For inflammation biomarkers, temperature played different roles depending on the sample type (blood or plasma). Low temperature affected inflammation biomarkers in blood, while room temperature impacted inflammation biomarkers in plasma.

Indexed as

AdolescentAdultAgedBiomarkersBlood Specimen CollectionChromatography, LiquidFemaleHumansInflammationMaleMass SpectrometryMetabolomeMetabolomicsMiddle AgedPeptidesPlasmaBiomarkersPeptidesbloodinflammation biomarkersmetabolitespeptidesplasmapreanalytical variabilitysample quality

Identifiers

PMID31074987
PMCPMC8477653
OpenAlexW2944658309

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.