Evidence map›Paper›PMID 24278387›Full record

ArticlePloS one2013

Targeted selected reaction monitoring mass spectrometric immunoassay for insulin-like growth factor 1.

Eric E Niederkofler, David A Phillips, Bryan Krastins, Vathany Kulasingam, Urban A Kiernan, Kemmons A Tubbs, Scott M Peterman, Amol Prakash, Eleftherios P Diamandis, Mary F Lopez and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
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  6. Development of quantitative mass spectrometric immunoassay for serum amyloid A.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2016
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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

11 authors at 2 institutions in 1 country.

Eric E NiederkoflerThermo Fisher Scientific, Tempe, Arizona, United States of America.
David A Phillips
Bryan Krastins
Vathany Kulasingam
Urban A Kiernan
Kemmons A Tubbs
Scott M Peterman
Amol Prakash
Eleftherios P Diamandis
Mary F Lopez
Dobrin Nedelkov
Thermo Fisher Scientific (United States) · USHealth Net · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin-like growth factor 1 (IGF1) is an important biomarker of human growth disorders that is routinely analyzed in clinical laboratories. Mass spectrometry-based workflows offer a viable alternative to standard IGF1 immunoassays, which utilize various pre-analytical preparation strategies. In this work we developed an assay that incorporates a novel sample preparation method for dissociating IGF1 from its binding proteins. The workflow also includes an immunoaffinity step using antibody-derivatized pipette tips, followed by elution, trypsin digestion, and LC-MS/MS separation and detection of the signature peptides in a selected reaction monitoring (SRM) mode. The resulting quantitative mass spectrometric immunoassay (MSIA) exhibited good linearity in the range of 1 to 1,500 ng/mL IGF1, intra- and inter-assay precision with CVs of less than 10%, and lowest limits of detection of 1 ng/mL. The linearity and recovery characteristics of the assay were also established, and the new method compared to a commercially available immunoassay using a large cohort of human serum samples. The IGF1 SRM MSIA is well suited for use in clinical laboratories.

Indexed as

BiomarkersHumansImmunoassayInsulin-Like Growth Factor IMass SpectrometryReference StandardsReference ValuesReproducibility of ResultsSensitivity and SpecificityBiomarkersInsulin-Like Growth Factor I

Identifiers

PMID24278387
PMCPMC3836743
OpenAlexW1986978027

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.