Evidence map›Paper›PMID 27232439›Full record

ReviewExpert review of proteomics2016

Current state of the art for enhancing urine biomarker discovery.

Michael Harpole, Justin Davis, Virginia Espina

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 6% 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

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 133 citations in OpenAlex.

  1. Guideline
  2. Review
  3. Article
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  11. Article
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  17. Article
  18. Article
  19. A simple urine test by 3D-plus-3D immunoassay guides preciseBioengineering & translational medicine · 2023
    Article
  20. Review

8 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Michael Harpolea Center for Applied Proteomics and Molecular Medicine , George Mason University , Manassas , VA , USA.
Justin Davisb Department of Chemistry/Biochemistry , George Mason University , Manassas , VA , USA.
Virginia Espinaa Center for Applied Proteomics and Molecular Medicine , George Mason University , Manassas , VA , USA.
George Mason University · US

Funding

Nanotrap technology for one step preservation and amplification of cancer biomarkR33CA173359 · NCI · GEORGE MASON UNIVERSITY · PI LIOTTA, LANCE ALLEN · 2012 to 2014
$1.1M
NCI NIH HHS R33 CA173359
6 · The paper itself

Abstract

introductionUrine is a highly desirable biospecimen for biomarker analysis because it can be collected recurrently by non-invasive techniques, in relatively large volumes. Urine contains cellular elements, biochemicals, and proteins derived from glomerular filtration of plasma, renal tubule excretion, and urogenital tract secretions that reflect, at a given time point, an individual's metabolic and pathophysiologic state. AREAS COVERED: High-resolution mass spectrometry, coupled with state of the art fractionation systems are revealing the plethora of diagnostic/prognostic proteomic information existing within urinary exosomes, glycoproteins, and proteins. Affinity capture pre-processing techniques such as combinatorial peptide ligand libraries and biomarker harvesting hydrogel nanoparticles are enabling measurement/identification of previously undetectable urinary proteins. Expert commentary: Future challenges in the urinary proteomics field include a) defining either single or multiple, universally applicable data normalization methods for comparing results within and between individual patients/data sets, and b) defining expected urinary protein levels in healthy individuals.

Indexed as

BiomarkersExosomesGlycosylationHumansMaleMass SpectrometryProteomicsUrinalysisUrineBiomarkersBiomarkercombinatorial peptide ligand librariesdiabetesglycoproteinhydrogel nanoparticlesLyme Diseasemass spectrometryproteinproteomicsselected reaction monitoringurine

Identifiers

PMID27232439
PMCPMC4978532
OpenAlexW2395607087

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.