Evidence map›Paper›PMID 21751365›Full record

ArticleProteomics2011

Mass spectrometric immunoassay for quantitative determination of transthyretin and its variants.

Olgica Trenchevska, Elena Kamcheva, Dobrin Nedelkov

Abstract readComparative Study
In one paragraph

Article in Proteomics, 2011. 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
1.6field-weighted citation impact, top 17% 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, 28 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Development of quantitative mass spectrometric immunoassay for serum amyloid A.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2016
    Article
  5. Review
  6. Transthyretin variants with improved inhibition of β-amyloid aggregation.Protein engineering, design & selection : PEDS · 2016
    Article
  7. Review
  8. Article
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  11. Review
  12. Article
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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, Tempe, AZ, 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 R43 RR025701
6 · The paper itself

Abstract

Transthyretin (TTR, or prealbumin) is a tetrameric protein found in plasma and cerebrospinal fluid. Its major role is to transport thyroid hormones (thyroxin-T4) and retinol (through association with retinol-binding protein). TTR has been studied extensively due to the great number of point mutations that result in sequence heterogeneity. Many of these variants are associated with pathological conditions that result in extracellular deposition of amyloid fibers in tissues. In this work, we have developed a rapid mass spectrometric immunoassay for determination and quantification of TTR and its variants from human serum and plasma samples. The assay was fully characterized in terms of its precision, linearity and recovery characteristics. The new assay was also compared with a conventional TTR ELISA. Furthermore, we have applied the optimized method to analyze TTR and its modifications in 44 human plasma samples, and in the process optimized a method for TTR proteolytic digestion and identification of point mutations.

Indexed as

Blood Chemical AnalysisEnzyme-Linked Immunosorbent AssayHumansImmunoassayMass SpectrometryPoint MutationPrealbuminSensitivity and SpecificityPrealbumin

Identifiers

PMID21751365
PMCPMC4599786
OpenAlexW2133501640

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.