Evidence map›Paper›PMID 23313081›Full record

ArticleClinical biochemistry2013

Rapid development of sensitive, high-throughput, quantitative and highly selective mass spectrometric targeted immunoassays for clinically important proteins in human plasma and serum.

Bryan Krastins, Amol Prakash, David A Sarracino, Dobrin Nedelkov, Eric E Niederkofler, Urban A Kiernan, Randall Nelson, Maryann S Vogelsang, Gouri Vadali, Alejandra Garces and 15 more

Open access · greenAbstract read
In one paragraph

Article in Clinical biochemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
10.4field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 103 citations in OpenAlex.

  1. Review
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  9. MALDI-TOF mass spectrometry-based quantification of C-peptide in diabetes patients.European journal of mass spectrometry (Chichester, England) · 2020
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  16. Contributions of immunoaffinity chromatography to deep proteome profiling of human biofluids.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2016
    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

25 authors at 7 institutions in 5 countries.

Bryan KrastinsThermoFisher Scientific BRIMS, 790 Memorial Dr, Cambridge, MA, USA.
Amol Prakash
David A Sarracino
Dobrin Nedelkov
Eric E Niederkofler
Urban A Kiernan
Randall Nelson
Maryann S Vogelsang
Gouri Vadali
Alejandra Garces
Jennifer N Sutton
Scott Peterman
Gregory Byram
Bruno Darbouret
Joëlle R Pérusse
Nabil G Seidah
Benoit Coulombe
Johan Gobom
Erik Portelius
Josef Pannee
Kaj Blennow
Vathany Kulasingam
Lewis Couchman
Caje Moniz
Mary F Lopez
Thermo Fisher Scientific (United States) · USUniversity of Gothenburg · SEMontreal Clinical Research Institute · CAKing's College Hospital · GBArizona State University · USThermo Fisher Scientific (Germany) · DEUniversity of Toronto · CA

Funding

Team Approach to Translate Novel Biomarkers for DiabetesR24DK090958 · NIDDK · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI NELSON, RANDALL W, PEARSON, JAMES DAVID · 2011 to 2014
$4.5M
Population-Based Proteomic Investigation of Type 2 Diabetes MellitusR01DK082542 · NIDDK · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI NELSON, RANDALL W · 2010 to 2014
$3.0M
NIDDK NIH HHS R01 DK082542NIDDK NIH HHS R24 DK090958
6 · The paper itself

Abstract

objectivesThe aim of this study was to develop high-throughput, quantitative and highly selective mass spectrometric, targeted immunoassays for clinically important proteins in human plasma or serum. DESIGN AND

methodsThe described method coupled mass spectrometric immunoassay (MSIA), a previously developed technique for immunoenrichment on a monolithic microcolumn activated with an anti-protein antibody and fixed in a pipette tip, to selected reaction monitoring (SRM) detection and accurate quantification of targeted peptides, including clinically relevant sequence or truncated variants.

resultsIn this report, we demonstrate the rapid development of MSIA-SRM assays for sixteen different target proteins spanning seven different clinically important areas (including neurological, Alzheimer's, cardiovascular, endocrine function, cancer and other diseases) and ranging in concentration from pg/mL to mg/mL. The reported MSIA-SRM assays demonstrated high sensitivity (within published clinical ranges), precision, robustness and high-throughput as well as specific detection of clinically relevant isoforms for many of the target proteins. Most of the assays were tested with bona-fide clinical samples. In addition, positive correlations, (R2 0.67-0.87, depending on the target peptide), were demonstrated for MSIA-SRM assay data with clinical analyzer measurements of parathyroid hormone (PTH) and insulin growth factor 1 (IGF1) in clinical sample cohorts.

conclusionsWe have presented a practical and scalable method for rapid development and deployment of MS-based SRM assays for clinically relevant proteins and measured levels of the target analytes in bona fide clinical samples. The method permits the specific quantification of individual protein isoforms and addresses the difficult problem of protein heterogeneity in clinical proteomics applications.

Indexed as

High-Throughput Screening AssaysAlzheimer DiseaseBlood ProteinsCardiovascular DiseasesGrowth DisordersHumansImmunoassayMass SpectrometryNeoplasmsRenal InsufficiencyBlood Proteins

Identifiers

PMID23313081
PMCPMC3779129
OpenAlexW2081337065

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.