Evidence map›Paper›PMID 23179564›Full record

ReviewFunctional & integrative genomics2012

The epitopes in wheat proteins for defining toxic units relevant to human health.

Angéla Juhász, Gyöngyvér Gell, Frank Békés, Ervin Balázs

Abstract readReview
PubMed Publisher
In one paragraph

Review in Functional & integrative genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

4 authors.

Angéla JuhászApplied Genomics Department, Agricultural Institute, Centre for Agricultural Research, HAS, Martonvásár, Hungary. juhasz.angela@agrar.mta.hu
Gyöngyvér Gell
Frank Békés
Ervin Balázs

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat-related disorders are well-studied health problems. Knowledge of the composition and amounts of epitopes present in a single wheat sample represents a significant gap, and the detailed wheat proteome datasets now available can provide the necessary information to carry out an estimation of allergen prediction for a single cultivar. The combined use of genome sequence and allergen databases, prediction methodology, and cereal chemistry results in better understanding of the level of toxicity present in the end-products produced from wheat flour. The workflow presented in this review provides information about the number and distribution of epitopes at single protein, or protein fraction, levels. In addition, epitopes present in the highest frequency and harmful proteins expressed in the highest amount can be identified. The "epitope toxicity" value obtained in this way is a significant research output from the analysis of large datasets that can be applied to the food industry.

Indexed as

EpitopesHumansModels, MolecularPlant ProteinsProbabilityTriticumWheat HypersensitivityEpitopesPlant Proteins

Identifiers

What OpenQuestion holds

Textmetadata
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.