Evidence map›Paper›PMID 20822186›Full record

ArticleJournal of proteome research2010

Mass spectrometric immunoassay for quantitative determination of protein biomarker isoforms.

Olgica Trenchevska, Elena Kamcheva, Dobrin Nedelkov

Abstract read
In one paragraph

Article in Journal of proteome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed, 50 citations in OpenAlex.

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  8. 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

3 authors at 1 institution in 1 country.

Olgica TrenchevskaIntrinsic Bioprobes Inc., Tempe, AZ 85284, USA.
Elena Kamcheva
Dobrin Nedelkov
Intrinsic LifeSciences (United States) · US

Funding

Quantitative Mass Spectrometric Immunoassays for Population ProteomicsR43RR025701 · NCRR · INTRINSIC BIOPROBES, INC. · PI NEDELKOV, DOBRIN · 2009 to 2009
$197k
NCRR NIH HHS 1 R43 RR025701NCRR NIH HHS R43 RR025701
6 · The paper itself

Abstract

Protein biomarkers are essential in assessing pathogenic processes. The impetus for finding new biomarkers has been accelerated by the arrival of the "omics" technologies. However, equally important is the rediscovery of existing biomarkers with these new approaches as novel variants can be discovered that can improve their utility. Presented here is a mass spectrometric immunoassay method for quantitative determination of β-2-microglobulin, an established biomarker used in the diagnosis of active rheumatoid arthritis and kidney disease, and its structural variant, cleaved at and deficient in lysine-58 (ΔK58-b2m). β-Lactoglobulin was incorporated into the assay as an internal reference standard, serving as normalization point for β-2-microglobulin quantification. The precision, linearity, and recovery characteristics of the assay were established. The new assay was also benchmarked against existing β-2-microglobulin ELISA. The assay was utilized to determine the individual concentration of β-2-microglobulin and its variant across a larger cohort of samples, demonstrating the ability to simultaneously quantify both proteins.

Indexed as

Arthritis, Rheumatoidbeta 2-MicroglobulinBiomarkersEnzyme-Linked Immunosorbent AssayHumansImmunoassayKidney DiseasesMass SpectrometryProtein IsoformsReference StandardsReproducibility of Resultsbeta 2-MicroglobulinBiomarkersProtein Isoforms

Identifiers

PMID20822186
PMCPMC2976597
OpenAlexW2068885459

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.