Evidence map›Paper›PMID 37876035›Full record

ArticleClinical and translational allergy2023

Predicting Blomia tropicalis allergens using a multiomics approach.

Jan Hubert, Susanne Vrtala, Bruno Sopko, Scot E Dowd, Qixin He, Pavel B Klimov, Karel Harant, Pavel Talacko, Tomas Erban

Abstract read
In one paragraph

Article in Clinical and translational allergy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Frontiers in immunology · 2026
    Article
  5. Article
  6. mSystems · 2025
    Article
  7. A novelmSphere · 2025
    Article
  8. Article
  9. A novelmSystems · 2024
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Jan HubertCrop Research Institute, Prague, Czechia.ORCID https://orcid.org/0000-0003-0740-166X
Susanne VrtalaDepartment of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-4250-8243
Bruno SopkoCrop Research Institute, Prague, Czechia.ORCID https://orcid.org/0000-0002-5580-1871
Scot E DowdMR DNA (Molecular Research LP), Shallowater, Texas, USA.ORCID https://orcid.org/0000-0002-6296-1427
Qixin HePurdue University, Lilly Hall of Life Sciences, West Lafayette, Indiana, USA.ORCID https://orcid.org/0000-0003-1696-8203
Pavel B KlimovPurdue University, Lilly Hall of Life Sciences, West Lafayette, Indiana, USA.ORCID https://orcid.org/0000-0002-9966-969X
Karel HarantProteomics Core Facility, Faculty of Science, Charles University, BIOCEV, Vestec, Czechia.ORCID https://orcid.org/0000-0002-9654-5392
Pavel TalackoProteomics Core Facility, Faculty of Science, Charles University, BIOCEV, Vestec, Czechia.ORCID https://orcid.org/0000-0002-0943-4564
Tomas ErbanCrop Research Institute, Prague, Czechia.ORCID https://orcid.org/0000-0003-1730-779X

Funding

Ministry of Education, Youth and Sports of the Czech Republic LUAUS23082Ministry of Science and Higher Education of the Russian Federation 193021X0012
6 · The paper itself

Abstract

backgroundThe domestic mite Blomia tropicalis is a major source of allergens in tropical and subtropical regions. Despite its great medical importance, the allergome of this mite has not been sufficiently studied. Only 14 allergen groups have been identified in B. tropicalis thus far, even though early radioimmunoelectrophoresis techniques (27 uncharacterized allergen complexes) and comparative data based on 40 allergen groups officially recognized by the World Health Organization (WHO)/IUIS in domestic astigmatid mites suggest the presence of a large set of additional allergens.

methodsHere, we employ a multiomics approach to assess the allergome of B. tropicalis using genomic and transcriptomic sequence data and perform highly sensitive protein abundance quantification.

findingsAmong the 14 known allergen groups, we confirmed 13 (one WHO/IUIS allergen, Blo t 19, was not found) and identified 16 potentially novel allergens based on sequence similarity. These data indicate that B. tropicalis shares 27 known/deduced allergen groups with pyroglyphid house dust mites (genus Dermatophagoides). Among these groups, five allergen-encoding genes are highly expressed at the transcript level: Blo t 1, Blo t 5, Blo t 21 (known), Blo t 15, and Blo t 18 (predicted). However, at the protein level, a different set of most abundant allergens was found: Blo t 2, 10, 11, 20 and 21 (mite bodies) or Blo t 3, 4, 6 and predicted Blo t 13, 14 and 36 (mite feces).

interpretationWe report the use of an integrated omics method to identify and predict an array of mite allergens and advanced, label-free proteomics to determine allergen protein abundance. Our research identifies a large set of novel putative allergens and shows that the expression levels of allergen-encoding genes may not be strictly correlated with the actual allergenic protein abundance in mite bodies.

Indexed as

enzymegenomeIgElabel-free proteomicsmitestranscriptome

Identifiers

PMID37876035
PMCPMC10542617

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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.