Evidence map›Paper›PMID 23017875›Full record

ArticleAnalytical biochemistry2013

Improved detection of botulinum neurotoxin serotype A by Endopep-MS through peptide substrate modification.

Dongxia Wang, Jakub Baudys, Yiming Ye, Jon C Rees, John R Barr, James L Pirkle, Suzanne R Kalb

Abstract read
In one paragraph

Article in Analytical biochemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-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

10 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Dongxia WangNational Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
Jakub Baudys
Yiming Ye
Jon C Rees
John R Barr
James L Pirkle
Suzanne R Kalb
Centers for Disease Control and Prevention · USNational Center for Environmental Health · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Botulinum neurotoxins (BoNTs) are a family of seven toxin serotypes that are the most toxic substances known to humans. Intoxication with BoNT causes flaccid paralysis and can lead to death if untreated with serotype-specific antibodies. Supportive care, including ventilation, may be necessary. Rapid and sensitive detection of BoNT is necessary for timely clinical confirmation of clinical botulism. Previously, our laboratory developed a fast and sensitive mass spectrometry (MS) method termed the Endopep-MS assay. The BoNT serotypes are rapidly detected and differentiated by extracting the toxin with serotype-specific antibodies and detecting the unique and serotype-specific cleavage products of peptide substrates that mimic the sequence of the BoNT native targets. To further improve the sensitivity of the Endopep-MS assay, we report here the optimization of the substrate peptide for the detection of BoNT/A. Modifications on the terminal groups of the original peptide substrate with acetylation and amidation significantly improved the detection of BoNT/A cleavage products. The replacement of some internal amino acid residues with single or multiple substitutions led to further improvement. An optimized peptide increased assay sensitivity 5-fold with toxin spiked into buffer solution or different biological matrices.

Indexed as

Spectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAcetylationAmino Acid SequenceBotulinum Toxins, Type ABotulismEndopeptidasesImmunoglobulin GMolecular Sequence DataPeptidesSubstrate SpecificityBotulinum Toxins, Type AEndopeptidasesImmunoglobulin GPeptides

Identifiers

PMID23017875
PMCPMC4618377
OpenAlexW1976327980

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.